Konsep Sistem Informasi (4-sks)

Oleh : Solikin WS.,M.T. - solikin2004@yahoo.com
 Prasyarat : Pengantar Teknologi Informasi
 Tujuan :
 memahami dan menguasai konsep sistem
informasi,
 dapat menjelaskan peranan informasi dalam
suatu organisasi,
 struktur dari suatu sistem informasi,
 dukungan komputer terhadap suatu sistem
informasi, dan
 nilai informasi bagi pengambilan keputusan
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• Materi :
1. Pengertian data dan informasi
2. Konsep dasar sistem dan sistem informasi
3. Konsep organisasi dan manajemen dalam
kaitannya dengan suatu sistem informasi
4. Struktur sistem informasi: komponen, aktivitas,
peran, dan tujuan pembangunan sistem informasi
5. Jenis-jenis sistem informasi berbasis komputer
6. Peran sistem informasi untuk pengambilan keputusan
 Pengertian Data dan Informasi
 Data :
“Streams of raw facts representing events
occurring in organizations or the physical
environment before they have been organized and
arranged into a form that people can understand
and use”, 4.p8-9).
(adalah aliran dari fakta yang direpresentasikan melalui kejadian
dalam organisasi atau lingkungan fisik sebelum diorganisasi dan
di susun ke dalam bentuk yang dapat dimengerti dan digunakan
oleh user).
 Data adalah fakta / sebagian fakta yang mengandung arti
berupa angka, huruf, symbol khusus atau gabungan
darinya.
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 Informasi (1)
 “Data have been shaped into form that is
meaningful and useful to human beings”.
(Informasi adalah data yang disusun kedalam bentuk yang dapat
dimengerti dan bermanfaat bagi user) atau.
 Informasi adalah “hasil dari kegiatan pengolahan
data yang memberikan bentuk yang lebih berarti
berupa suatu informasi” atau
 Informasi adalah data yang mempunyai nilai
(berarti) bagi penerimanya dan dapat digunakan
untuk dasar pengambilan keputusan.
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 Data vs Informasi
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 Informasi(2)
 Untuk menjadi informasi,umumnya data
perlu mengalami proses pengolahan.
 Sifat informasi dapat perfect (sempurna,
tidak mengandung unsur ketidakpastian)
dan dapat pula imperfect (tidak sempurna,
mengandung unsur ketidakpastian).
Data Process Informasi
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 Informasi(3)
Sumber Informasi :
Pengamatan lapangan (observasi)
Kuesioner
Kejadian / event (pencatatan,
perekaman ataupun penangkapan
sinyal digital secara langsung).
Pemodelan (forecasting,
econometric, operational research,
simulation, heuristic, dsb).
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 Informasi(4)
 Karakteristik (kualitas) Informasi yang baik :
 Timeliness (informasi harus tepat waktu,
tersedia manakala dibutuhkan)
 Accuracy (informasi harus akurat / teliti)
 Reduced Uncertainty (informasi
ketidakpastiannya harus ditekan /
diminimize/diperkecil)
 Element of Surprise (informasi tidak
mengandung unsur / elemen kejutan)
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 Informasi(5)
 Informasi disampaikan kepada pengguna (user)
dapat direpresentasikan dalam media :
 Kertas/hardcopy
 Tampilan/display-monitor/video
 Suara/audio
 Informasi yang dibutuhkan manajemen umumnya
dalam bentuk laporan. Ada banyak variasi dan tipe
laporan antara lain :
 Loran Periodik
 Laporan Indikator Kunci
 Laporan berdasarkan permintaan (on-call report)
 Laporan Khusus
 Laporan Penyimpangan (exception report)
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 Informasi(6)
 Laporan dapat di representasikan dengan
berbagai bentuk, antara lain yang umum
digunakan :
 Narasi
 Tabel
 Grafik dan Gambar
 Kombinasi
 Kertas/hardcopy
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• System ?
Input Output
Feedback
System
“A group of elements or parts that are integrated and
coordinated for the purpose of achieving a goal”
(Sekumpulan komponen atau bagian yang terintegrasi dan dikoordinir untuk
maksud mencapai suatu tujuan / gol)
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 information system
An information system (IS) is an arrangement of
people, data, processes, and information technology
that interact to collect, process, store, and provide
as output the information needed to support an
organization
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What is a System?
Manufacturing
Process
Input of
Raw Materials
Output of
Finished Products
Environment
Other Systems
Control by
Management
Control
Signals
Control
Signals
Feedback
Signals
Feedback
Signals
System Boundary
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The Internetworked -Business
Manufacturing
and
Production
Engineering &
Research
Accounting,
Finance, and
Management
Suppliers and Other Business Partners
Procurement, Distribution, and Logistics
Advertising Sales Customer Service
Consumer and Business Customers
Company
Boundary
Intranets
The Internet
Extranets
Extranets
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A Federation of Information Systems
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Information System Applications
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Focuses for Information
Systems
 Knowledge — the raw material used to
create useful information.
 Process — the activities (including
management) that carry out the
mission of the business.
 Communication — how the system
interfaces with its users and other
information systems.
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The CMM Process Management Model
Capability Maturity Model (CMM) – a standardized framework
for assessing the maturity level of an organization’s information
system development and management processes and products.
It consists of five levels of maturity:
 Level 1—Initial: System development projects follow no prescribed
process.
 Level 2—Repeatable: Project management processes and practices are
established to track project costs, schedules, and functionality.
 Level 3—Defined: A standard system development process (sometimes
called a “methodology”) is purchased or developed. All projects use a
version of this process to develop and maintain information systems and
software.
 Level 4—Managed: Measurable goals for quality and productivity are
established.
 Level 5—Optimizing: The standardized system development process is
continuously monitored and improved based on measures and data
analysis established in Level 4.
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Capability Maturity Model (CMM)
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Types of Information Systems
Transaction
Processing
Systems
Process
Control
Systems
Enterprise
Collaboration
Systems
Operations
Support
Systems
Management
Information
Systems
Decision
Support
Systems
Executive
Information
Systems
Management
Support
Systems
Information Systems
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A transaction processing system (TPS) is an information
system that captures and processes data about business
transactions.
A management information system (MIS) is an information
system that provides for management-oriented reporting
based on transaction processing and operations of the
organization.
A decision support system (DSS) is an information system
that either helps to identify decision making opportunities or
provides information to help make decisions.
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An expert system is an information system that captures the
expertise of workers and then simulates that expertise to the
benefit of nonexperts.
A communications and collaboration system is an
information system that enables more effective
communications between workers, partners, customers, and
suppliers to enhance their ability to collaborate.
An office automation system is an information system that
supports the wide range of business office activities that
provide for improved work flow between workers.
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Other Categories of
Information Systems
Expert Systems
Knowledge Management Systems
Functional Business Systems
Strategic Information Systems
Cross-Functional Information Systems
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The Information Systems
Development Process
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Management Challenges of the E-Business Enterprise
•Business Strategies
•Business Processes
•Business Needs
•Customer Relationships
•Business Partners
•Suppliers
•Business Customers
Ethical Considerations
Potential Risks?
Potential Laws?
Possible Responses?
•IS Human Resources
•IS Development
•IT Infrastructure
•IS Performance
•Organization Structure
•and Culture
•User Acceptance
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Chapter Summary
 Information Systems play a vital role in the
efficient and effective operations of EBusiness,
E-Commerce and enterprise
collaboration.
 The business professional must know:
 Foundations (fundamentals) of IS
 Information Technologies
 Business Applications
 Development Processes; and
 Managerial Challenges
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Chapter Summary (cont)
 A system is a group of interrelated components
working toward the attainment of a common
goal by accepting inputs and producing outputs
in an organized transformation process.
 An information system uses the resources of
people, hardware, software, data, and networks
to perform input, processing, output, storage
and control activities.
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 IS Resources:
 Hardware Resources
 Software Resources
 People Resources
 Data Resources
 Network Resources
 Products:
 Paper Reports
 Visual Displays
 Multimedia Documents
 Electronic Messages
 Graphics images
 Audio Responses
Chapter Summary (cont)
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 Information systems perform three vital roles in
business firms. They support:
 Business processes and operations,
 Business decision making; and
 Strategic competitive advantage
 Major application categories of information
systems include:
 Operations Support Systems; and
 Management Support Systems
Chapter Summary (cont)
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 Data : Tipe Data
Lima tipe utama data pada sistem informasi yang sekarang
yaitu : 6.p132-177)
1. predefined data item,
2. images,
3. text,
4. audio, dan
5. video
Pada sistem informasi tradisional hanya berisi predefined data
item dan text. Pada saat ini, akibat pesatnya kemajuan ilmu
pengetahuan dan teknologi IT data dapat dibuat dalam bentuk
gambar, suara dengan menggunakan teknik seperti
digitization, voice messaging dan video conference
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Predefined data item
 Predefined data item tediri dari numeric atau
alphabetical item, yang mempunyai arti dan
format khusus yang jelas dan selanjutnya
digunakan untuk mengendalikan kalkulasi
dan transaksi yang menggunakan data.
Sebagai contoh credit card number,
transaction date, purchase account, dan
merchant ID.
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Text
Text terdiri dari letters, numbers, dan
karakter lainnya yang pengertiannya
dikombinasikan tidak hanya bergantung
pada bentuk yang ditentukan
(prespecified format) atau definisi dari
item individual (defined of individual
items).
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Images
 Images adalah data dalam bentuk gambar,
baik dalam bentuk photographs, gambar
yang dibuat tangan (hand-drawn pictures),
atau grafik yang dihasilkan dari data numerik.
Images dapat disimpan, dimodifikasi, dan di
kirim (transmitted) dalam banyak cara yang
sama seperti text.
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 Audio
 Audio adalah data dalam bentuk suara.
 Video
 Video adalah kombinasi gambar dan suara yang
ditampilkan secara bersamaan. Penggunaannya
misalnya melalui video conference.
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Satuan Data
 Bit satuan terkecil data
 Byte satu karakter=8 bit
 Word satu kata=2 byte=16 bit
 Double Word satu kata=4 byte=32 bit
 Data satu data=beberapa byte yang punya arti
 Record satu baris data
 Field satu lajur/kolom data
 Table satu table data (baris dan kolom)
 Library satu kumpulan file data
 Database satu bank data (kumpulan semua data)
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Evolution of DB Systems
 Flat files - 1960s - 1980s
 Hierarchical – 1970s - 1990s
 Network – 1970s - 1990s
 Relational – 1980s - present
 Object-oriented – 1990s - present
 Object-relational – 1990s - present
 Data warehousing – 1980s - present
 Web-enabled – 1990s - present
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Basis Data (Database)
 Elemen Basis Data
 Terdapat 3 elemen basis data yaitu : User, Isi
Data dan Tempat Penyimpan (memori) data.
 Dalam elemen user terdapat 3 golongan yaitu :
 Operator yang memerlukan fasilitas ‘Query’ atau
paket program yang sudah jadi
 Programmer yang memerlukan bahasa
pemrograman DBMS
 DBA (database administrator) yang memerlukan
data dictionary system (DDS)
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Pengertian Basis Data
Basis Data adalah kumpulan dari data
yang saling berhubungan (berinteraksi)
satu dengan yang lainnya, tersimpan di
perangkat keras computer dan
digunakan perangkat lunak untuk
memanipulasinya.
Penerapan database dalam sistem
informasi di sebut database sistem.
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Pengertian Sistem Basis Data
 Sistem Basis Data adalah suatu sistem informasi
yang mengintegrasikan kumpulan dari data yang
saling berhubungan satu dengan yang lainnya dan
membuatnya tersedia untuk beberapa aplikasi yang
bermacam-macam di dalam suatu organisasi.
 Software yang digunakan untuk mengatur (manage)
data adalah DBMS (Data Base Management
System). Contoh DBMS : Excell, Access, FoxBase,
FoxPro, Oracle, Informix, Sybase, dll
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Kenapa perlu konsep Basis
Data
 Dalam pendekatan pengolahan data
tradisional sumber data ditangani sendirisendiri
oleh masing-masing bagian untuk tiap
aplikasi.
 Sedangkan dalam konsep database,
pengolahan data dilakukan secara
terintegrasi dalam sebuah database, dimana
tiap-tiap orang atau bagian dapat
memandang database dari sudut pandangan
yang berbeda.
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Organisasi File Basis Data
 Organisasi data secara konvensional dirasakan
kurang, karena berorientasi pada file, artinya data
cenderung hanya berhubungan dengan data yang
lainnya dalam satu file saja, kurang ada hubungan
dengan data lain yang berada di file lain.
 Oleh karena itu dikembangkan jenis organisasi data
yaitu :
 Hirarki (berjenjang),
 Network (jaringan) dan
 Relasional (hubungan).
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Organisasi Hirarki (1)
 Organisasi Hirarki / berjenjang atau disebut juga
struktur data poon (tree). Suatu pohon dibentuk dari
beberapa elemen grup data yang berjenjang,
disebut dengan node. Node yang paling atas
disebut root (level-1), tiap node dapat bercabang ke
node-node yang lain. Dengan ketentuan setiap
pohon hanya mempunyai satu root saja dan tiaptiap
node kecuali root hanya dapat mempunyai
sebuah orang tua (parent) saja tetapi tiap-tiap node
dapat mempunyai beberapa anak (child).
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Organisasi Hirarki (2)
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Organisasi Network(1)
 Pada Organisasi pohon tiap node tidak dapat
mempunyai leih dari satu orang tua, maka
pada strukur data jaringan tiap-tiap node
dapat mempunyai lebih dari satu orang tua.
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Organisasi Network(2)
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Organisasi Relasional (1)
 Hubungan di dasarkan pada field kunci (yaitu
field yang unik / tidak ada duanya), contoh
file MHS dan file NILAI dihungkan melalui
field kunci NPM.
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Organisasi Relasional (2)
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Relasi Data
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Data, Informasi dan Sistem Informasi
(..catatan tambahan)
 SI sudah merupakan bagian dari perusahaan untuk
mendukung usaha dengan CBIS (Computer Base
Information System)
 Resources : 5M + I
 Man
 Machine
 Money
 Material
 Method and
 Information
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 Kenapa SI perlu dimenej?, karena resources terbatas,
karena terbatas maka perlu di optimalkan pemanfaatannya
 Sistem pasti mempunyai tujuan, komponen sistem apa saja,
tergantung sistem apa, bisa metode, barang, dll
 Karakteristik sistem :
1. Transformasi input ke output (retrieve, update, representation)
Representasi : Text,suara,gambar, dll
2. Interdisiplinair yang tergabung dalam satu kesatuan
3. Holistik (menyeluruh)
4. Dapat dibedakan dengan yang lainnya (lingkungannya)
5. Sinergi
6. Hierarki
7. Ada aturan (regulasi)
8. Harus punya tujuan (objective)
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Information Systems Architecture
(ISA)
 Overall blueprint for organization’s information
systems
 Consists of:
 Data (Enterprise Data Model – simplified ER Diagram)
 Processes – data flow diagrams, process decomposition,
etc.
 Data Network – topology diagram (like fig 1.8)
 People – people management using project management
tools (Gantt charts, etc.)
 Events and Points in Time (when processes are performed)
 Reasons for events and rules (e.g. decision tables)
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Information Engineering
 A data-oriented methodology to create and
maintain information systems
Top-down planning approach.
 Four steps:
 Planning
 Results in an Information Systems Architecture
 Analysis
 Results in functional specifications…i.e. what we
want
 Design
 Results in design specifications…i.e. how we’ll do it
 Implementation
 Results in final operational system
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Information Systems Planning
 Strategy development
 IT Planning to meet Corporate
strategy
 Three steps:
1. Identify strategic planning factors
2. Identify corporate planning objects
3. Develop enterprise model
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Identify Strategic Planning
Factors (table 2.1)
 Organization goals – what we hope to
accomplish
 Critical success factors – what MUST work in
order for us to survive
 Problem areas – weaknesses we now have
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Identify Corporate Planning
Objects (table 2.3)
 Organizational units
 Organizational locations
 Business functions – these might become the
users
 Entity types – the things we are trying to
model
 Information (application) systems
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Develop Enterprise Model
Decomposition of business functions
 See figure 2.2
Enterprise data model
 See figure 2.1
Planning matrixes
 See figure 2.3
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Enterprise Data Model
 First step in database development
 Specifies scope and general content
 Overall picture of organizational data, not specific
design
 Entity-relationship diagram
 Descriptions of entity types
 Relationships between entities
 Business rules
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Informasi
 Data yang mempunyai nilai (berarti) bagi penerimanya
dan dapat digunakan untuk dasar pengambilan
keputusan
 Untuk menjadi informasi umumnya data perlu
mengalami proses pengolahan
 Sifat informasi :
1. Perfect (tidak mengandung unsur ketidakpastian)
2. Imperfect (mengandung unsur ketidakpastian)
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INPUT PROSES OUTPUT
Data Proses Informasi
- Bisa sangat simple
- Bisa dapat complicated
• Suatu data jika akan menghasilkan informasi yang baik, maka
datanya harus bersih.
• prosesnya meliputi :
1. Verifikasi
2. Validasi
3. Duplication data
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 Macam-macam atribut suatu data :
1. Identifier (sebagai identifikasi)
2. Locater (sebagai penunjuk lokasi)
3. Temporal
4. Classifier
5. Relational
 Faktor yang mempengaruhi ‘nilai suatu informasi’ :
1. Tepat ISI dan TELITI (accuracy)
2. Tepat WAKTU (timeliness)
3. Tepat GUNA (relevancy)
4. Tepat SAJI (presentation)
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 Manfaat Informasi
 Terhadap Proses :
1. Menghemat Tenaga
2. Meningkatkan Efisiensi
3. Mempercepat Proses
4. Perbaikan Dokumentasi
5. Pencapaian Standar
6. Perbaikan Keputusan
 Terhadap Produk :
1. Peningkatan “feature”
2. Perubahan Karakteristik
3. Peningkatan Fasilitas Penyampaian Produk
4. Inovasi Produk barang atau jasa
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 Terhadap Kualitas :
1. Peningkatan kualitas proses (JIT,Feedback, dsb)
2. Peningkatan kualitas produk (standarisasi produk, peningkatan
pelayanan, dsb)
 Komponen SI :
1. Technoware (S/W,H/W, Jaringan)
2. Infoware (Database)
3. Organware (Organisasi dan Prosedur)
4. Brainware (humanware)
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 Technoware (S/W,H/W, Jaringan)
 Merupakan sistem komputer dan jaringan
 Infoware (Database)
 DBMS (Data Base Management System)
 DBA (Database Administrator)
 Kegagalan DBMS pada umumnya pada updating karna
faktor SDM
 Jika data tidak diupdate, maka cutomer kecewa, ini akan
sangat berbahaya. Oleh karena itu perlu dijaga kedisiplinan
agar data tetap up-to-date.
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 Organware (Organisasi dan Prosedur)
 Mencakup Organisasi dan Prosedur
 Prosedur :
1. Prosedur Penyiapan Data
2. Prosedur Perekaman Data
3. Prosedur Pemrosesan Data
4. Prosedur Pengamanan Data
5. Dsb
 Jika sistem sudah “menyimpang terlalu jauh”, maka perlu di “Re-
Design”
 Dengan adanya prosedur baru, terdapat cara kerja baru dan ini
harus disosialisasikan
 Kalau mau mengembangkan SI harus mengacu kepada rencana
induk perusahaan
 Dulu EDP sekarang IT Division atau IS Division
07/22/08 handout-SI-032204 KSI -by:sol's- 68
 Brainware
 Mengatur Brainware paling sulit dibandingkan dengan 3
komponen yang lainnya
 Contoh job dalam bidang IT:
1. Operator Perekam Data
2. Teknisi Perangkat Kerja dan Jaringan
3. Pemrogram APlikasi Sistem (Programmer)
4. Analis Sistem (Analyst)
5. Administrator Database (Database Administrator)
6. Perancang Sistem (System Designer)
7. Perekayasa Perangkat Lunak (S/W Engineering)
8. Perekayasa Jaringan (Network Engineering)
9. Pengelola Proyek SI (IS Project Manager)
07/22/08 handout-SI-032204 KSI -by:sol's- 69
Karakteristik Sistem
Sub Sistem
Sub Sistem Sub Sistem
Sub Sistem
Input Output
Interface
(penghubung)
Input Process Output
Environment
Goals
Boundary
(batas sistem)
07/22/08 handout-SI-032204 KSI -by:sol's- 70
Siklus Pengolahan Data
PROSES
(Model)
ENTRI DATA OUTPUT
(Informasi)
BASIS DATA
USER
(Penerima)
KEPUTUSAN
TINDAKAN
HASIL
TINDAKAN
CAPTURING
DATA
07/22/08 handout-SI-032204 KSI -by:sol's- 71
 Amazon.com : An Evolving Business Models
 The Need for Frameworks and Models
 The Work System Framework
 Work System Principles
 Relationships Beetwen Work Systems and IS
 The Principle Based Systems Analysis Method
 Measurement Work System Performance
 Clasification Related to
Understanding Systems from
Business Viewpoint
07/22/08 handout-SI-032204 KSI -by:sol's- 72
Amazon.com : An Evolving
Business Models
(Work System Snapshot, Amazon.com provides
a different way to shop for books)
07/22/08 handout-SI-032204 KSI -by:sol's- 73
The Work System Framework
 The Customer
 The Product and Services
 The Business Process
 The Participant
 The Information
 The Technology
 Context
 Infrastructure
07/22/08 handout-SI-032204 KSI -by:sol's- 74
The Customer
People who use and
receive direct benefit
from the products and
services
07/22/08 handout-SI-032204 KSI -by:sol's- 75
The Product and
Services
The combination of
physical things information
and services that the work
system produces for to
customer
07/22/08 handout-SI-032204 KSI -by:sol's- 76
The Business Process
The sets of the steps or
activities that are performed
within the work system
07/22/08 handout-SI-032204 KSI -by:sol's- 77
The Participant
People who perform the
work step in the business
process
07/22/08 handout-SI-032204 KSI -by:sol's- 78
The Information
The information used by
the participants to
perform their work
07/22/08 handout-SI-032204 KSI -by:sol's- 79
The Technology
The hardware, software
and the other tools and
equipment used by the
participants
07/22/08 handout-SI-032204 KSI -by:sol's- 80
Context
The organizational,
competitive, technical
and regulatory realm
within which the work
system operates
07/22/08 handout-SI-032204 KSI -by:sol's- 81
Infrastructure
Is share human and
technical resources that
the work system rellies
on even through these
resources exist and are
managed outside of it.
07/22/08 handout-SI-032204 KSI -by:sol's- 82
CUSTOMER
 People who purchases books
 Whosellers that supply the books
 Amazon.com Shipping departement
PRODUCTS AND SERVICES
 Information about books that might be purchased
 information describing cash book order
 books that are eventually delivered
BUSINESS PROCESS
 Purchaser log on www.amazon.com
 Purchaser identifies desired books or gives search criteria
 Purchaser looks at book related information and desides what
to order
 Purchaser enter order
 Amazon.com finds the books in it inventory and packs thm fpr
dhipping, if the book are no in its inventory, Amazon order
them from a wholeseller and ships them to the customer after
they arrive at the Amazon werehouse
 Shipping departement packages order and sends it to the
purchaser
PARTICIPANTS INFORMATION TECHNOLOGY
 People interested in
purchasing books
 order fullfillment
department of
wholeseller
 Shipping department
Amazon.com
 Order for books
 price and other
information about each
book
 purchase hidtory and
related information for
each customer
 Personel computers
used by purchaser
 computers and
networks use by
Amazon.com for order
processing
 the internet
(infrastructure)
Work System Snapshot
Amazon.com provides a different way to shop for
books
07/22/08 handout-SI-032204 KSI -by:sol's- 83
Data and Knowledge
Management (KM)
I. Data Management :
1. A Critical Success Faktor (CSF)
2. Data Life Cyle Process and
Knowledge Discovery
3. Data Source and Collection
4. Data Quality (DQ)
5. Multimedia and OO Databases
6. Document Management
07/22/08 handout-SI-032204 KSI -by:sol's- 84
I. Data Warehousing, Mining and
Analysis :
1. Transaction Vs Analytical
Processing
2. Data Warehousing and Marts
3. Knowledge Discovery, Analysis and
Mining
07/22/08 handout-SI-032204 KSI -by:sol's- 85
I. Data Visualization and
Technology
1. Data Visualization
2. Multidimensionality
3. GIS
07/22/08 handout-SI-032204 KSI -by:sol's- 86
I. Marketing Databases in Action
1. The Marketing Transaction
Database
2. Implementation in Example
II. KM
1. Knowledge Base and Organizational
Learning
2. Implementing KM Systems
07/22/08 handout-SI-032204 KSI -by:sol's- 87
I. Data Management
I. A Critical Success Faktor (CSF)
 The Difficulties
 The Amount of data increases exponentially
 Collected by many individuals, using several
methods and devices
 Organization’s data are relevant for specific
decision
 Raw Data my be stored in different computing
systems, databases, formats, and human and
computer languages
 Data Security, Quality, and integrity
07/22/08 handout-SI-032204 KSI -by:sol's- 88
 These difficulties and the critical
need for
 Timely and Accurated information
 Search effective and efficient
 Data management
 Support TPS
 Relational Databases
 Client/Server Environment
 Finding Data Quiqly and Easly
 Creation of Data Warehouse
07/22/08 handout-SI-032204 KSI -by:sol's- 89
1. Data Life Cyle Process and
Knowledge Discovery
 Trace how and where data flows in
organization
 Business do not run on data, They
run on information and their
knowledge of how to put that
information to uses successfully.
 The transformation of data into
knowledge mybe accomplished in
several ways
07/22/08 handout-SI-032204 KSI -by:sol's- 90
Converting Data to Knowledge
Data
Source
Collection
Data Sorage
Selection
Target Data Preprocessing
Data
Preprocessing
Transformation
Data
mining
Interpretation /
Evaluation
iMac Use
Transformed
Data
Patterns
Storage,
Knowledge
Base
Knowledge
Data Warehousing Data Analysis
07/22/08 handout-SI-032204 KSI -by:sol's- 91
 Data Source and Collection
 The Data life cycle begins with the
acquisition of data from data
sources.
 Data can include :
 Documents
 Pictures
 Maps
 Sound and
07/22/08 handout-SI-032204 KSI -by:sol's- 92
 Animation
 Concepts
 Opinions
 Raw or
 Summarized or extrated data
 Data Source :
 Internal Data
 Personal Data
 External Data
07/22/08 handout-SI-032204 KSI -by:sol's- 93
 Internal Data :
 are organizational internal data are
stored in one or more places
 About : people, product, services,
and processes
 Personal Data
 IS user or other coorporate
employees by creating personal
data
07/22/08 handout-SI-032204 KSI -by:sol's- 94
 External Data :
 Data are available on :
 CD-ROM
 Internet Server (film, music or voice)
 Pictures (diagram, atlases)
 Television
 Large amounts of external data are
available on the internet.
 The internet and commercial databases
services -> Electronic Data Interchange
(EDI)
07/22/08 handout-SI-032204 KSI -by:sol's- 95
 Methods For Collection Raw
Data
 Can be collected :
 Manually or
 Instruments or sensors
 Scanned or
 Transferred Electronically
 Manual Data Collected :
 Time studies
 Surveys
 Observations and
 Constributions from experts
07/22/08 handout-SI-032204 KSI -by:sol's- 96
1. Data Quality (DQ)
 Data are frequently found to be :
 Inaccurate
 Incomplete
 Ambiguous
 The economical and social damage
from poor quality data costs billions
of dollars
07/22/08 handout-SI-032204 KSI -by:sol's- 97
 Problem Data :
 DQ Problem divide into four
catagories and dimension :
1. Instrinsic DQ :
 Accuracy, objectivity, believability,
reputation
2. Accessability DQ :
 Accessability and security
3. Contextual DQ :
 Relevance, Value Added, timeliness,
completeness, amount data
4. Representasion DQ:
 Interpretability, ease of understanding,
concise representation, consistent
representation
07/22/08 handout-SI-032204 KSI -by:sol's- 98
 Problem Data (cont..):
 Data are not correct
 Data are not timely
 Data are not measured or index
properly
 Needed data simply do not exist
 One of the major issues of DQ
is DATA INTEGRITY
07/22/08 handout-SI-032204 KSI -by:sol's- 99
 OOD are sometimes referred to as
multimedia databases and are
manage special Multimedia
Databases Management Systems
(MDMS)
 These manage data in variety of
formats in additional to standard
text or numeric fields.
 The formats include Images such
as digitized photographs or forms
of bit-mapped graphics
07/22/08 handout-SI-032204 KSI -by:sol's- 100
1. Document Management (DM)
 Document Management Systems (DMS)
provide information to decision makers in
an electronic format
 DM is the automated control of electronic
document, page images, spreadsheet,
word processing document, and complex,
compound documents through their entire
life cycle within an organization, from initial
creation to final archiving.
 DMS usually include computerized
imaging systems
07/22/08 handout-SI-032204 KSI -by:sol's- 101
I. Data Warehousing, Mining and
Analysis :
I. Transaction Vs Analytical
Processing
 Data processing in organizations can be
viewed either as transactional or
analytical
 Transactional Processing, in the routine
daily processing of the transactional of
the organizations such as ordering or
billing
07/22/08 handout-SI-032204 KSI -by:sol's- 102
 A good data delivery system
therefore should be able to
support :
 Easy data access by the end
users themselve
 Quicker decision making
 More accurate and effective
decision making
 Flexible decision making
07/22/08 handout-SI-032204 KSI -by:sol's- 103
 This improved option of
analytical processing involves
three concepts :
1. A business representation of data for
end users
2. A client/server enviroment that gives
the user query and reporting
capabilities
3. A server-base repository, the data
warehouse, that allows centralized
security and control over the data
07/22/08 handout-SI-032204 KSI -by:sol's- 104
1. Data Warehousing and Marts
 Data Warehouse, benefits :
1. To reach data quickly
2. To do it easly
 The purpose of data warehouse is to
establish a data repository that makes
operational data accessable in a form
rapidly acceptable for analytical
processing activities such as decision
support, EIS, and other user application.
07/22/08 handout-SI-032204 KSI -by:sol's- 105
 Data Warehouses allow for the
storage of metadata, which
include data summaries that are
easier to index and search,
especially with web tools
07/22/08 handout-SI-032204 KSI -by:sol's- 106
Legacy
OLTP
External
Select
Extract
Transform
Integrate
Maintain
Preparation
Opeparational
System / Data
APIS
MIdleware
Flat screen
Flat screen
Flat screen
Flat screen
Flat screen
Flat screen
Metadata
Reposition
Enterprise
Data
Warehouse
Data Mart
Data Mart
Data Mart
Target
Database(s)
(RDB, MDDB)
Replication
Marketing
Risk
Management
Engineering
Data Mining
Access
Application
EIS / DSS
Custom-Built
Application
(4GL Tools)
Production
Reporting
Tools
Relation
Query Tools
Web Browses
OLAP /
ROLAP
Data Warehouse Framework and Views
07/22/08 handout-SI-032204 KSI -by:sol's- 107
 Characteristic of Data Warehousing
1. Organization :
 data are organized by detailed
subject, containingly information
relevant for decision support
2. Consistency
 Data in different operational
databases my be encoded
differently, e.g gender data ‘0’, ‘1’ or
‘m’, ‘f’ and consistent manner
07/22/08 handout-SI-032204 KSI -by:sol's- 108
1. Time variant
 The data are kept for 5 to 10 years
so they can be used for trends,
forecasting and comparisons over
time
2. Nonvolatile
 Once entered into the warehouse,
data are not update (Tdk dpt
diubah)
07/22/08 handout-SI-032204 KSI -by:sol's- 109
1. Relational
 Typically the data warehouse uses
a relational structure
2. Clent/Server
 The data warehouse uses the
client/server architecture mainly to
provide the end user an easy
access to its data
07/22/08 handout-SI-032204 KSI -by:sol's- 110
 Data Marts is a replicated subset
of the data warehouse and is
dedicated to a functional or
regional area.
07/22/08 handout-SI-032204 KSI -by:sol's- 111
 Summary of strategic Uses
of Data Warehousing
Industry Functional Area of Use Strategic Use
Airline Operations and Marketing analysis of route
profitability
Banking Product Development, Customer service,
operation and marketing trend analysis,
product
and service promotion.
Reduction of IS
expenses
Healt Care Operation reduction of operational
expenses
07/22/08 handout-SI-032204 KSI -by:sol's- 112
1. Knowledge Discovery, Analysis
and Mining
 The program of extracting useful
knowledge from volumes of data is
known as knowledge discovery in
databases (KDD) or just knowledge
discovery.
 KDD’s objective is to identify valid,
novel, potensially usefull, and
ultimatelly understandable patterns in
data
07/22/08 handout-SI-032204 KSI -by:sol's- 113
 KDD support by three technologies :
1. Massive data collection
2. Powerfull multiprocessor computers
3. Data Mining Algorithms
 Tools and Techniques of KDD
 KDD tools over time can be divided into
four major stage :
1. Data Collection (1960s)
2. Data Acess (1980s)
3. Data Warehousing and Decion Support (1990s)
4. Intelligence Data Mining (l-1990)
07/22/08 handout-SI-032204 KSI -by:sol's- 114
 The problem with the data
collection and access techniques is
that they are not suitable for a large
volume of data, nor can they be
used effectively by end user.
 Even though Structured Query
Language (SQL) use is becaming
more user friendly.
07/22/08 handout-SI-032204 KSI -by:sol's- 115
 OLAP
(On Line Analytical Processing)
 OLAP refers to such end-user
activities as DSS modeling using
spreadsheets and grahics, which are
done online.
 Unlike online transaction online
processing (OLTP) application.
07/22/08 handout-SI-032204 KSI -by:sol's- 116
 Data Mining
 Data mining derives is name from the
similarities between searching for
valuable business information in a
large database and mining a
mountain for a vein of valuable are.
07/22/08 handout-SI-032204 KSI -by:sol's- 117
I. Impact on Organizations
II. Impact on Individuals at
Work
III. Societal Impacts and The
Internet Community
IMPACT OF IT ON
ORGANIZATIONS, INDIVIDUALS
AND SOCIETY
07/22/08 handout-SI-032204 KSI -by:sol's- 118
1. Structure
2. Authority
3. Power and
4. Job Content
I. IMPACTs ON
ORGANIZATIONS
07/22/08 handout-SI-032204 KSI -by:sol's- 119
1. Job Satisfaction
2. Dehumanization and
Psychological Impacts
3. Impacts On Health and
Safety
I. IMPACTs ON
INDIVIDUALS
AT WORK
07/22/08 handout-SI-032204 KSI -by:sol's- 120
1. Opportunitis For People With
Disabilities
2. Quality of Life Improvements
3. Other Impacts
I. SOCIETAL IMPACTS AND
THE INTERNET
COMMUNITY
07/22/08 handout-SI-032204 KSI -by:sol's- 121
 Structure,Authority,Power and Job Content
a. Flatter Organizational Hierarchies
b. Staff-To-Line Ratio
c. Special Units
d. Centralization of Authority
e. Power and Status
f. Job Contens
g. Role Ambiguity and Conflict
IMPACTs ON ORGANIZATIONS
1.1. Structure
07/22/08 handout-SI-032204 KSI -by:sol's- 122
 Increased Productivity and increased span of
control
 Decreased number of experts
 FOH result from :
 reduction in the total number of employees,
 reengineering of business process, and
 ability of lower-level employee to perform higher –
level job
A. Flatter Organizational
Hierarchies (FOH)
07/22/08 handout-SI-032204 KSI -by:sol's- 123
 The number of professional and
specialists could decline in relation to
the total number of employees in the
organizations.
B. Staff-To-Line Ratio
07/22/08 handout-SI-032204 KSI -by:sol's- 124
 Creating a technology centre
 Internet/electronic commerce unit
 Decision support system departement
 Intelligent system departement
C. Special Units
07/22/08 handout-SI-032204 KSI -by:sol's- 125
 Because of the trend toward smaller
and flatters organizations, centralization
become more popular.
 Example : introduction of expert
systems in general electric’s
maintenance area increased the power
of the desentarlization units because
they become less dependent on the
companys headquarters.
D. Centralization of Authority
07/22/08 handout-SI-032204 KSI -by:sol's- 126
 Knowledge is power
 Changing the power structure within
organization
 Example : expert system may reduce
the power of certain professional group,
becaise their knowledge will be in the
public domain.
E. Power and Status
07/22/08 handout-SI-032204 KSI -by:sol's- 127
 Job Conten is important not only because it is
related to organizational structure, but also
becase it is interrelated with employee
satisfaction, compensation, status, and
productivity.
 Changes in job content occuur when work is
redesigned.
 Example : when BPR (Business Process
Reenginerring) is attempted or when
electronic commerce changes the marketing
system.
F. Job Contens
07/22/08 handout-SI-032204 KSI -by:sol's- 128
 Employee Career Ladders
 Changes in Supervision
 Other Considerations
 The Manager’s Job
IMPACTs ON ORGANIZATIONS
1.2. Personnel Issues
07/22/08 handout-SI-032204 KSI -by:sol's- 129
 Automation of routin decision
 Less expertise required for many
decisions
 Less reliance on experts to provide
support to top executive
 Power distribution among managers
 Electronic support of complex decision
(intelligent agents, DSS)
IMPACTs ON ORGANIZATIONS
1.3. The Manager’s Job
07/22/08 handout-SI-032204 KSI -by:sol's- 130
 Job Stress
 Repetitive Strain Injuries
 Lessening The Negative Impact
on Health and Safety
 Other Impacts
Impacts On Health and Safety
07/22/08 handout-SI-032204 KSI -by:sol's- 131
 Dehumanization :
 Negative effect on people’s individuality,
such : many people feel loss of identity.
 Expert systems or artificial intelligence
are increasingly replacing people in the
creative arena.
Dehumanization and Psychological
Impacts
07/22/08 handout-SI-032204 KSI -by:sol's- 132
 Psychological Impacts :
 Isolating influence : depression and
loneliness
 Distance learning : lack of social impact.
Dehumanization and Psychological
Impacts(2)
07/22/08 handout-SI-032204 KSI -by:sol's- 133
IS and Individual
The Individual
The
Individual
Entertainment
business and
education
Environment
and
application
Security
Home
Informatio
n System Insurance
and
Brokerage
Accounting
and Legal
Police
and Fire
Library
Public and
Private Service
System
Education and
Medical System
Centre
Medical
Database
Hospital
Adm and
treatment
Laisure Time
System
Consumer
System
Financial
System
Travel
Reservation
Theater and
Entertainment
Hotel
Reservation
Department Drug Store
Store
Supermarket
Money Card
Real Estate
Stocks
Integrated
Financial
Database
Educational
and Adm
Record
Computer
Assisted
Education
e-Commerce
E-funds transfer

Oleh : Solikin WS.,M.T. - solikin2004@yahoo.com
 Prasyarat : Pengantar Teknologi Informasi
 Tujuan :
 memahami dan menguasai konsep sistem
informasi,
 dapat menjelaskan peranan informasi dalam
suatu organisasi,
 struktur dari suatu sistem informasi,
 dukungan komputer terhadap suatu sistem
informasi, dan
 nilai informasi bagi pengambilan keputusan
07/22/08 handout-SI-032204 KSI -by:sol's- 3

• Materi :
1. Pengertian data dan informasi
2. Konsep dasar sistem dan sistem informasi
3. Konsep organisasi dan manajemen dalam
kaitannya dengan suatu sistem informasi
4. Struktur sistem informasi: komponen, aktivitas,
peran, dan tujuan pembangunan sistem informasi
5. Jenis-jenis sistem informasi berbasis komputer
6. Peran sistem informasi untuk pengambilan keputusan
 Pengertian Data dan Informasi
 Data :
“Streams of raw facts representing events
occurring in organizations or the physical
environment before they have been organized and
arranged into a form that people can understand
and use”, 4.p8-9).
(adalah aliran dari fakta yang direpresentasikan melalui kejadian
dalam organisasi atau lingkungan fisik sebelum diorganisasi dan
di susun ke dalam bentuk yang dapat dimengerti dan digunakan
oleh user).
 Data adalah fakta / sebagian fakta yang mengandung arti
berupa angka, huruf, symbol khusus atau gabungan
darinya.
07/22/08 handout-SI-032204 KSI -by:sol's- 7
 Informasi (1)
 “Data have been shaped into form that is
meaningful and useful to human beings”.
(Informasi adalah data yang disusun kedalam bentuk yang dapat
dimengerti dan bermanfaat bagi user) atau.
 Informasi adalah “hasil dari kegiatan pengolahan
data yang memberikan bentuk yang lebih berarti
berupa suatu informasi” atau
 Informasi adalah data yang mempunyai nilai
(berarti) bagi penerimanya dan dapat digunakan
untuk dasar pengambilan keputusan.
07/22/08 handout-SI-032204 KSI -by:sol's- 8
 Data vs Informasi
07/22/08 handout-SI-032204 KSI -by:sol's- 9
 Informasi(2)
 Untuk menjadi informasi,umumnya data
perlu mengalami proses pengolahan.
 Sifat informasi dapat perfect (sempurna,
tidak mengandung unsur ketidakpastian)
dan dapat pula imperfect (tidak sempurna,
mengandung unsur ketidakpastian).
Data Process Informasi
07/22/08 handout-SI-032204 KSI -by:sol's- 10
 Informasi(3)
Sumber Informasi :
Pengamatan lapangan (observasi)
Kuesioner
Kejadian / event (pencatatan,
perekaman ataupun penangkapan
sinyal digital secara langsung).
Pemodelan (forecasting,
econometric, operational research,
simulation, heuristic, dsb).
07/22/08 handout-SI-032204 KSI -by:sol's- 11
 Informasi(4)
 Karakteristik (kualitas) Informasi yang baik :
 Timeliness (informasi harus tepat waktu,
tersedia manakala dibutuhkan)
 Accuracy (informasi harus akurat / teliti)
 Reduced Uncertainty (informasi
ketidakpastiannya harus ditekan /
diminimize/diperkecil)
 Element of Surprise (informasi tidak
mengandung unsur / elemen kejutan)
07/22/08 handout-SI-032204 KSI -by:sol's- 12
 Informasi(5)
 Informasi disampaikan kepada pengguna (user)
dapat direpresentasikan dalam media :
 Kertas/hardcopy
 Tampilan/display-monitor/video
 Suara/audio
 Informasi yang dibutuhkan manajemen umumnya
dalam bentuk laporan. Ada banyak variasi dan tipe
laporan antara lain :
 Loran Periodik
 Laporan Indikator Kunci
 Laporan berdasarkan permintaan (on-call report)
 Laporan Khusus
 Laporan Penyimpangan (exception report)
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 Informasi(6)
 Laporan dapat di representasikan dengan
berbagai bentuk, antara lain yang umum
digunakan :
 Narasi
 Tabel
 Grafik dan Gambar
 Kombinasi
 Kertas/hardcopy
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• System ?
Input Output
Feedback
System
“A group of elements or parts that are integrated and
coordinated for the purpose of achieving a goal”
(Sekumpulan komponen atau bagian yang terintegrasi dan dikoordinir untuk
maksud mencapai suatu tujuan / gol)
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 information system
An information system (IS) is an arrangement of
people, data, processes, and information technology
that interact to collect, process, store, and provide
as output the information needed to support an
organization
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What is a System?
Manufacturing
Process
Input of
Raw Materials
Output of
Finished Products
Environment
Other Systems
Control by
Management
Control
Signals
Control
Signals
Feedback
Signals
Feedback
Signals
System Boundary
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The Internetworked -Business
Manufacturing
and
Production
Engineering &
Research
Accounting,
Finance, and
Management
Suppliers and Other Business Partners
Procurement, Distribution, and Logistics
Advertising Sales Customer Service
Consumer and Business Customers
Company
Boundary
Intranets
The Internet
Extranets
Extranets
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A Federation of Information Systems
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Information System Applications
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Focuses for Information
Systems
 Knowledge — the raw material used to
create useful information.
 Process — the activities (including
management) that carry out the
mission of the business.
 Communication — how the system
interfaces with its users and other
information systems.
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The CMM Process Management Model
Capability Maturity Model (CMM) – a standardized framework
for assessing the maturity level of an organization’s information
system development and management processes and products.
It consists of five levels of maturity:
 Level 1—Initial: System development projects follow no prescribed
process.
 Level 2—Repeatable: Project management processes and practices are
established to track project costs, schedules, and functionality.
 Level 3—Defined: A standard system development process (sometimes
called a “methodology”) is purchased or developed. All projects use a
version of this process to develop and maintain information systems and
software.
 Level 4—Managed: Measurable goals for quality and productivity are
established.
 Level 5—Optimizing: The standardized system development process is
continuously monitored and improved based on measures and data
analysis established in Level 4.
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Capability Maturity Model (CMM)
07/22/08 handout-SI-032204 KSI -by:sol's- 23
Types of Information Systems
Transaction
Processing
Systems
Process
Control
Systems
Enterprise
Collaboration
Systems
Operations
Support
Systems
Management
Information
Systems
Decision
Support
Systems
Executive
Information
Systems
Management
Support
Systems
Information Systems
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A transaction processing system (TPS) is an information
system that captures and processes data about business
transactions.
A management information system (MIS) is an information
system that provides for management-oriented reporting
based on transaction processing and operations of the
organization.
A decision support system (DSS) is an information system
that either helps to identify decision making opportunities or
provides information to help make decisions.
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An expert system is an information system that captures the
expertise of workers and then simulates that expertise to the
benefit of nonexperts.
A communications and collaboration system is an
information system that enables more effective
communications between workers, partners, customers, and
suppliers to enhance their ability to collaborate.
An office automation system is an information system that
supports the wide range of business office activities that
provide for improved work flow between workers.
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Other Categories of
Information Systems
Expert Systems
Knowledge Management Systems
Functional Business Systems
Strategic Information Systems
Cross-Functional Information Systems
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The Information Systems
Development Process
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Management Challenges of the E-Business Enterprise
•Business Strategies
•Business Processes
•Business Needs
•Customer Relationships
•Business Partners
•Suppliers
•Business Customers
Ethical Considerations
Potential Risks?
Potential Laws?
Possible Responses?
•IS Human Resources
•IS Development
•IT Infrastructure
•IS Performance
•Organization Structure
•and Culture
•User Acceptance
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Chapter Summary
 Information Systems play a vital role in the
efficient and effective operations of EBusiness,
E-Commerce and enterprise
collaboration.
 The business professional must know:
 Foundations (fundamentals) of IS
 Information Technologies
 Business Applications
 Development Processes; and
 Managerial Challenges
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Chapter Summary (cont)
 A system is a group of interrelated components
working toward the attainment of a common
goal by accepting inputs and producing outputs
in an organized transformation process.
 An information system uses the resources of
people, hardware, software, data, and networks
to perform input, processing, output, storage
and control activities.
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 IS Resources:
 Hardware Resources
 Software Resources
 People Resources
 Data Resources
 Network Resources
 Products:
 Paper Reports
 Visual Displays
 Multimedia Documents
 Electronic Messages
 Graphics images
 Audio Responses
Chapter Summary (cont)
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 Information systems perform three vital roles in
business firms. They support:
 Business processes and operations,
 Business decision making; and
 Strategic competitive advantage
 Major application categories of information
systems include:
 Operations Support Systems; and
 Management Support Systems
Chapter Summary (cont)
07/22/08 handout-SI-032204 KSI -by:sol's- 33
 Data : Tipe Data
Lima tipe utama data pada sistem informasi yang sekarang
yaitu : 6.p132-177)
1. predefined data item,
2. images,
3. text,
4. audio, dan
5. video
Pada sistem informasi tradisional hanya berisi predefined data
item dan text. Pada saat ini, akibat pesatnya kemajuan ilmu
pengetahuan dan teknologi IT data dapat dibuat dalam bentuk
gambar, suara dengan menggunakan teknik seperti
digitization, voice messaging dan video conference
07/22/08 handout-SI-032204 KSI -by:sol's- 34
Predefined data item
 Predefined data item tediri dari numeric atau
alphabetical item, yang mempunyai arti dan
format khusus yang jelas dan selanjutnya
digunakan untuk mengendalikan kalkulasi
dan transaksi yang menggunakan data.
Sebagai contoh credit card number,
transaction date, purchase account, dan
merchant ID.
07/22/08 handout-SI-032204 KSI -by:sol's- 35
Text
Text terdiri dari letters, numbers, dan
karakter lainnya yang pengertiannya
dikombinasikan tidak hanya bergantung
pada bentuk yang ditentukan
(prespecified format) atau definisi dari
item individual (defined of individual
items).
07/22/08 handout-SI-032204 KSI -by:sol's- 36
Images
 Images adalah data dalam bentuk gambar,
baik dalam bentuk photographs, gambar
yang dibuat tangan (hand-drawn pictures),
atau grafik yang dihasilkan dari data numerik.
Images dapat disimpan, dimodifikasi, dan di
kirim (transmitted) dalam banyak cara yang
sama seperti text.
07/22/08 handout-SI-032204 KSI -by:sol's- 37
 Audio
 Audio adalah data dalam bentuk suara.
 Video
 Video adalah kombinasi gambar dan suara yang
ditampilkan secara bersamaan. Penggunaannya
misalnya melalui video conference.
07/22/08 handout-SI-032204 KSI -by:sol's- 38
Satuan Data
 Bit satuan terkecil data
 Byte satu karakter=8 bit
 Word satu kata=2 byte=16 bit
 Double Word satu kata=4 byte=32 bit
 Data satu data=beberapa byte yang punya arti
 Record satu baris data
 Field satu lajur/kolom data
 Table satu table data (baris dan kolom)
 Library satu kumpulan file data
 Database satu bank data (kumpulan semua data)
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Evolution of DB Systems
 Flat files - 1960s - 1980s
 Hierarchical – 1970s - 1990s
 Network – 1970s - 1990s
 Relational – 1980s - present
 Object-oriented – 1990s - present
 Object-relational – 1990s - present
 Data warehousing – 1980s - present
 Web-enabled – 1990s - present
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Basis Data (Database)
 Elemen Basis Data
 Terdapat 3 elemen basis data yaitu : User, Isi
Data dan Tempat Penyimpan (memori) data.
 Dalam elemen user terdapat 3 golongan yaitu :
 Operator yang memerlukan fasilitas ‘Query’ atau
paket program yang sudah jadi
 Programmer yang memerlukan bahasa
pemrograman DBMS
 DBA (database administrator) yang memerlukan
data dictionary system (DDS)
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Pengertian Basis Data
Basis Data adalah kumpulan dari data
yang saling berhubungan (berinteraksi)
satu dengan yang lainnya, tersimpan di
perangkat keras computer dan
digunakan perangkat lunak untuk
memanipulasinya.
Penerapan database dalam sistem
informasi di sebut database sistem.
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Pengertian Sistem Basis Data
 Sistem Basis Data adalah suatu sistem informasi
yang mengintegrasikan kumpulan dari data yang
saling berhubungan satu dengan yang lainnya dan
membuatnya tersedia untuk beberapa aplikasi yang
bermacam-macam di dalam suatu organisasi.
 Software yang digunakan untuk mengatur (manage)
data adalah DBMS (Data Base Management
System). Contoh DBMS : Excell, Access, FoxBase,
FoxPro, Oracle, Informix, Sybase, dll
07/22/08 handout-SI-032204 KSI -by:sol's- 43
Kenapa perlu konsep Basis
Data
 Dalam pendekatan pengolahan data
tradisional sumber data ditangani sendirisendiri
oleh masing-masing bagian untuk tiap
aplikasi.
 Sedangkan dalam konsep database,
pengolahan data dilakukan secara
terintegrasi dalam sebuah database, dimana
tiap-tiap orang atau bagian dapat
memandang database dari sudut pandangan
yang berbeda.
07/22/08 handout-SI-032204 KSI -by:sol's- 44
Organisasi File Basis Data
 Organisasi data secara konvensional dirasakan
kurang, karena berorientasi pada file, artinya data
cenderung hanya berhubungan dengan data yang
lainnya dalam satu file saja, kurang ada hubungan
dengan data lain yang berada di file lain.
 Oleh karena itu dikembangkan jenis organisasi data
yaitu :
 Hirarki (berjenjang),
 Network (jaringan) dan
 Relasional (hubungan).
07/22/08 handout-SI-032204 KSI -by:sol's- 45
Organisasi Hirarki (1)
 Organisasi Hirarki / berjenjang atau disebut juga
struktur data poon (tree). Suatu pohon dibentuk dari
beberapa elemen grup data yang berjenjang,
disebut dengan node. Node yang paling atas
disebut root (level-1), tiap node dapat bercabang ke
node-node yang lain. Dengan ketentuan setiap
pohon hanya mempunyai satu root saja dan tiaptiap
node kecuali root hanya dapat mempunyai
sebuah orang tua (parent) saja tetapi tiap-tiap node
dapat mempunyai beberapa anak (child).
07/22/08 handout-SI-032204 KSI -by:sol's- 46
Organisasi Hirarki (2)
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Organisasi Network(1)
 Pada Organisasi pohon tiap node tidak dapat
mempunyai leih dari satu orang tua, maka
pada strukur data jaringan tiap-tiap node
dapat mempunyai lebih dari satu orang tua.
07/22/08 handout-SI-032204 KSI -by:sol's- 48
Organisasi Network(2)
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Organisasi Relasional (1)
 Hubungan di dasarkan pada field kunci (yaitu
field yang unik / tidak ada duanya), contoh
file MHS dan file NILAI dihungkan melalui
field kunci NPM.
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Organisasi Relasional (2)
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Relasi Data
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Data, Informasi dan Sistem Informasi
(..catatan tambahan)
 SI sudah merupakan bagian dari perusahaan untuk
mendukung usaha dengan CBIS (Computer Base
Information System)
 Resources : 5M + I
 Man
 Machine
 Money
 Material
 Method and
 Information
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 Kenapa SI perlu dimenej?, karena resources terbatas,
karena terbatas maka perlu di optimalkan pemanfaatannya
 Sistem pasti mempunyai tujuan, komponen sistem apa saja,
tergantung sistem apa, bisa metode, barang, dll
 Karakteristik sistem :
1. Transformasi input ke output (retrieve, update, representation)
Representasi : Text,suara,gambar, dll
2. Interdisiplinair yang tergabung dalam satu kesatuan
3. Holistik (menyeluruh)
4. Dapat dibedakan dengan yang lainnya (lingkungannya)
5. Sinergi
6. Hierarki
7. Ada aturan (regulasi)
8. Harus punya tujuan (objective)
07/22/08 handout-SI-032204 KSI -by:sol's- 54
Information Systems Architecture
(ISA)
 Overall blueprint for organization’s information
systems
 Consists of:
 Data (Enterprise Data Model – simplified ER Diagram)
 Processes – data flow diagrams, process decomposition,
etc.
 Data Network – topology diagram (like fig 1.8)
 People – people management using project management
tools (Gantt charts, etc.)
 Events and Points in Time (when processes are performed)
 Reasons for events and rules (e.g. decision tables)
07/22/08 handout-SI-032204 KSI -by:sol's- 55
Information Engineering
 A data-oriented methodology to create and
maintain information systems
Top-down planning approach.
 Four steps:
 Planning
 Results in an Information Systems Architecture
 Analysis
 Results in functional specifications…i.e. what we
want
 Design
 Results in design specifications…i.e. how we’ll do it
 Implementation
 Results in final operational system
07/22/08 handout-SI-032204 KSI -by:sol's- 56
Information Systems Planning
 Strategy development
 IT Planning to meet Corporate
strategy
 Three steps:
1. Identify strategic planning factors
2. Identify corporate planning objects
3. Develop enterprise model
07/22/08 handout-SI-032204 KSI -by:sol's- 57
Identify Strategic Planning
Factors (table 2.1)
 Organization goals – what we hope to
accomplish
 Critical success factors – what MUST work in
order for us to survive
 Problem areas – weaknesses we now have
07/22/08 handout-SI-032204 KSI -by:sol's- 58
Identify Corporate Planning
Objects (table 2.3)
 Organizational units
 Organizational locations
 Business functions – these might become the
users
 Entity types – the things we are trying to
model
 Information (application) systems
07/22/08 handout-SI-032204 KSI -by:sol's- 59
Develop Enterprise Model
Decomposition of business functions
 See figure 2.2
Enterprise data model
 See figure 2.1
Planning matrixes
 See figure 2.3
07/22/08 handout-SI-032204 KSI -by:sol's- 60
Enterprise Data Model
 First step in database development
 Specifies scope and general content
 Overall picture of organizational data, not specific
design
 Entity-relationship diagram
 Descriptions of entity types
 Relationships between entities
 Business rules
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Informasi
 Data yang mempunyai nilai (berarti) bagi penerimanya
dan dapat digunakan untuk dasar pengambilan
keputusan
 Untuk menjadi informasi umumnya data perlu
mengalami proses pengolahan
 Sifat informasi :
1. Perfect (tidak mengandung unsur ketidakpastian)
2. Imperfect (mengandung unsur ketidakpastian)
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INPUT PROSES OUTPUT
Data Proses Informasi
- Bisa sangat simple
- Bisa dapat complicated
• Suatu data jika akan menghasilkan informasi yang baik, maka
datanya harus bersih.
• prosesnya meliputi :
1. Verifikasi
2. Validasi
3. Duplication data
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 Macam-macam atribut suatu data :
1. Identifier (sebagai identifikasi)
2. Locater (sebagai penunjuk lokasi)
3. Temporal
4. Classifier
5. Relational
 Faktor yang mempengaruhi ‘nilai suatu informasi’ :
1. Tepat ISI dan TELITI (accuracy)
2. Tepat WAKTU (timeliness)
3. Tepat GUNA (relevancy)
4. Tepat SAJI (presentation)
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 Manfaat Informasi
 Terhadap Proses :
1. Menghemat Tenaga
2. Meningkatkan Efisiensi
3. Mempercepat Proses
4. Perbaikan Dokumentasi
5. Pencapaian Standar
6. Perbaikan Keputusan
 Terhadap Produk :
1. Peningkatan “feature”
2. Perubahan Karakteristik
3. Peningkatan Fasilitas Penyampaian Produk
4. Inovasi Produk barang atau jasa
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 Terhadap Kualitas :
1. Peningkatan kualitas proses (JIT,Feedback, dsb)
2. Peningkatan kualitas produk (standarisasi produk, peningkatan
pelayanan, dsb)
 Komponen SI :
1. Technoware (S/W,H/W, Jaringan)
2. Infoware (Database)
3. Organware (Organisasi dan Prosedur)
4. Brainware (humanware)
07/22/08 handout-SI-032204 KSI -by:sol's- 66
 Technoware (S/W,H/W, Jaringan)
 Merupakan sistem komputer dan jaringan
 Infoware (Database)
 DBMS (Data Base Management System)
 DBA (Database Administrator)
 Kegagalan DBMS pada umumnya pada updating karna
faktor SDM
 Jika data tidak diupdate, maka cutomer kecewa, ini akan
sangat berbahaya. Oleh karena itu perlu dijaga kedisiplinan
agar data tetap up-to-date.
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 Organware (Organisasi dan Prosedur)
 Mencakup Organisasi dan Prosedur
 Prosedur :
1. Prosedur Penyiapan Data
2. Prosedur Perekaman Data
3. Prosedur Pemrosesan Data
4. Prosedur Pengamanan Data
5. Dsb
 Jika sistem sudah “menyimpang terlalu jauh”, maka perlu di “Re-
Design”
 Dengan adanya prosedur baru, terdapat cara kerja baru dan ini
harus disosialisasikan
 Kalau mau mengembangkan SI harus mengacu kepada rencana
induk perusahaan
 Dulu EDP sekarang IT Division atau IS Division
07/22/08 handout-SI-032204 KSI -by:sol's- 68
 Brainware
 Mengatur Brainware paling sulit dibandingkan dengan 3
komponen yang lainnya
 Contoh job dalam bidang IT:
1. Operator Perekam Data
2. Teknisi Perangkat Kerja dan Jaringan
3. Pemrogram APlikasi Sistem (Programmer)
4. Analis Sistem (Analyst)
5. Administrator Database (Database Administrator)
6. Perancang Sistem (System Designer)
7. Perekayasa Perangkat Lunak (S/W Engineering)
8. Perekayasa Jaringan (Network Engineering)
9. Pengelola Proyek SI (IS Project Manager)
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Karakteristik Sistem
Sub Sistem
Sub Sistem Sub Sistem
Sub Sistem
Input Output
Interface
(penghubung)
Input Process Output
Environment
Goals
Boundary
(batas sistem)
07/22/08 handout-SI-032204 KSI -by:sol's- 70
Siklus Pengolahan Data
PROSES
(Model)
ENTRI DATA OUTPUT
(Informasi)
BASIS DATA
USER
(Penerima)
KEPUTUSAN
TINDAKAN
HASIL
TINDAKAN
CAPTURING
DATA
07/22/08 handout-SI-032204 KSI -by:sol's- 71
 Amazon.com : An Evolving Business Models
 The Need for Frameworks and Models
 The Work System Framework
 Work System Principles
 Relationships Beetwen Work Systems and IS
 The Principle Based Systems Analysis Method
 Measurement Work System Performance
 Clasification Related to
Understanding Systems from
Business Viewpoint
07/22/08 handout-SI-032204 KSI -by:sol's- 72
Amazon.com : An Evolving
Business Models
(Work System Snapshot, Amazon.com provides
a different way to shop for books)
07/22/08 handout-SI-032204 KSI -by:sol's- 73
The Work System Framework
 The Customer
 The Product and Services
 The Business Process
 The Participant
 The Information
 The Technology
 Context
 Infrastructure
07/22/08 handout-SI-032204 KSI -by:sol's- 74
The Customer
People who use and
receive direct benefit
from the products and
services
07/22/08 handout-SI-032204 KSI -by:sol's- 75
The Product and
Services
The combination of
physical things information
and services that the work
system produces for to
customer
07/22/08 handout-SI-032204 KSI -by:sol's- 76
The Business Process
The sets of the steps or
activities that are performed
within the work system
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The Participant
People who perform the
work step in the business
process
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The Information
The information used by
the participants to
perform their work
07/22/08 handout-SI-032204 KSI -by:sol's- 79
The Technology
The hardware, software
and the other tools and
equipment used by the
participants
07/22/08 handout-SI-032204 KSI -by:sol's- 80
Context
The organizational,
competitive, technical
and regulatory realm
within which the work
system operates
07/22/08 handout-SI-032204 KSI -by:sol's- 81
Infrastructure
Is share human and
technical resources that
the work system rellies
on even through these
resources exist and are
managed outside of it.
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CUSTOMER
 People who purchases books
 Whosellers that supply the books
 Amazon.com Shipping departement
PRODUCTS AND SERVICES
 Information about books that might be purchased
 information describing cash book order
 books that are eventually delivered
BUSINESS PROCESS
 Purchaser log on www.amazon.com
 Purchaser identifies desired books or gives search criteria
 Purchaser looks at book related information and desides what
to order
 Purchaser enter order
 Amazon.com finds the books in it inventory and packs thm fpr
dhipping, if the book are no in its inventory, Amazon order
them from a wholeseller and ships them to the customer after
they arrive at the Amazon werehouse
 Shipping departement packages order and sends it to the
purchaser
PARTICIPANTS INFORMATION TECHNOLOGY
 People interested in
purchasing books
 order fullfillment
department of
wholeseller
 Shipping department
Amazon.com
 Order for books
 price and other
information about each
book
 purchase hidtory and
related information for
each customer
 Personel computers
used by purchaser
 computers and
networks use by
Amazon.com for order
processing
 the internet
(infrastructure)
Work System Snapshot
Amazon.com provides a different way to shop for
books
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Data and Knowledge
Management (KM)
I. Data Management :
1. A Critical Success Faktor (CSF)
2. Data Life Cyle Process and
Knowledge Discovery
3. Data Source and Collection
4. Data Quality (DQ)
5. Multimedia and OO Databases
6. Document Management
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I. Data Warehousing, Mining and
Analysis :
1. Transaction Vs Analytical
Processing
2. Data Warehousing and Marts
3. Knowledge Discovery, Analysis and
Mining
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I. Data Visualization and
Technology
1. Data Visualization
2. Multidimensionality
3. GIS
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I. Marketing Databases in Action
1. The Marketing Transaction
Database
2. Implementation in Example
II. KM
1. Knowledge Base and Organizational
Learning
2. Implementing KM Systems
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I. Data Management
I. A Critical Success Faktor (CSF)
 The Difficulties
 The Amount of data increases exponentially
 Collected by many individuals, using several
methods and devices
 Organization’s data are relevant for specific
decision
 Raw Data my be stored in different computing
systems, databases, formats, and human and
computer languages
 Data Security, Quality, and integrity
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 These difficulties and the critical
need for
 Timely and Accurated information
 Search effective and efficient
 Data management
 Support TPS
 Relational Databases
 Client/Server Environment
 Finding Data Quiqly and Easly
 Creation of Data Warehouse
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1. Data Life Cyle Process and
Knowledge Discovery
 Trace how and where data flows in
organization
 Business do not run on data, They
run on information and their
knowledge of how to put that
information to uses successfully.
 The transformation of data into
knowledge mybe accomplished in
several ways
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Converting Data to Knowledge
Data
Source
Collection
Data Sorage
Selection
Target Data Preprocessing
Data
Preprocessing
Transformation
Data
mining
Interpretation /
Evaluation
iMac Use
Transformed
Data
Patterns
Storage,
Knowledge
Base
Knowledge
Data Warehousing Data Analysis
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 Data Source and Collection
 The Data life cycle begins with the
acquisition of data from data
sources.
 Data can include :
 Documents
 Pictures
 Maps
 Sound and
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 Animation
 Concepts
 Opinions
 Raw or
 Summarized or extrated data
 Data Source :
 Internal Data
 Personal Data
 External Data
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 Internal Data :
 are organizational internal data are
stored in one or more places
 About : people, product, services,
and processes
 Personal Data
 IS user or other coorporate
employees by creating personal
data
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 External Data :
 Data are available on :
 CD-ROM
 Internet Server (film, music or voice)
 Pictures (diagram, atlases)
 Television
 Large amounts of external data are
available on the internet.
 The internet and commercial databases
services -> Electronic Data Interchange
(EDI)
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 Methods For Collection Raw
Data
 Can be collected :
 Manually or
 Instruments or sensors
 Scanned or
 Transferred Electronically
 Manual Data Collected :
 Time studies
 Surveys
 Observations and
 Constributions from experts
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1. Data Quality (DQ)
 Data are frequently found to be :
 Inaccurate
 Incomplete
 Ambiguous
 The economical and social damage
from poor quality data costs billions
of dollars
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 Problem Data :
 DQ Problem divide into four
catagories and dimension :
1. Instrinsic DQ :
 Accuracy, objectivity, believability,
reputation
2. Accessability DQ :
 Accessability and security
3. Contextual DQ :
 Relevance, Value Added, timeliness,
completeness, amount data
4. Representasion DQ:
 Interpretability, ease of understanding,
concise representation, consistent
representation
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 Problem Data (cont..):
 Data are not correct
 Data are not timely
 Data are not measured or index
properly
 Needed data simply do not exist
 One of the major issues of DQ
is DATA INTEGRITY
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 OOD are sometimes referred to as
multimedia databases and are
manage special Multimedia
Databases Management Systems
(MDMS)
 These manage data in variety of
formats in additional to standard
text or numeric fields.
 The formats include Images such
as digitized photographs or forms
of bit-mapped graphics
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1. Document Management (DM)
 Document Management Systems (DMS)
provide information to decision makers in
an electronic format
 DM is the automated control of electronic
document, page images, spreadsheet,
word processing document, and complex,
compound documents through their entire
life cycle within an organization, from initial
creation to final archiving.
 DMS usually include computerized
imaging systems
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I. Data Warehousing, Mining and
Analysis :
I. Transaction Vs Analytical
Processing
 Data processing in organizations can be
viewed either as transactional or
analytical
 Transactional Processing, in the routine
daily processing of the transactional of
the organizations such as ordering or
billing
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 A good data delivery system
therefore should be able to
support :
 Easy data access by the end
users themselve
 Quicker decision making
 More accurate and effective
decision making
 Flexible decision making
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 This improved option of
analytical processing involves
three concepts :
1. A business representation of data for
end users
2. A client/server enviroment that gives
the user query and reporting
capabilities
3. A server-base repository, the data
warehouse, that allows centralized
security and control over the data
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1. Data Warehousing and Marts
 Data Warehouse, benefits :
1. To reach data quickly
2. To do it easly
 The purpose of data warehouse is to
establish a data repository that makes
operational data accessable in a form
rapidly acceptable for analytical
processing activities such as decision
support, EIS, and other user application.
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 Data Warehouses allow for the
storage of metadata, which
include data summaries that are
easier to index and search,
especially with web tools
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Legacy
OLTP
External
Select
Extract
Transform
Integrate
Maintain
Preparation
Opeparational
System / Data
APIS
MIdleware
Flat screen
Flat screen
Flat screen
Flat screen
Flat screen
Flat screen
Metadata
Reposition
Enterprise
Data
Warehouse
Data Mart
Data Mart
Data Mart
Target
Database(s)
(RDB, MDDB)
Replication
Marketing
Risk
Management
Engineering
Data Mining
Access
Application
EIS / DSS
Custom-Built
Application
(4GL Tools)
Production
Reporting
Tools
Relation
Query Tools
Web Browses
OLAP /
ROLAP
Data Warehouse Framework and Views
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 Characteristic of Data Warehousing
1. Organization :
 data are organized by detailed
subject, containingly information
relevant for decision support
2. Consistency
 Data in different operational
databases my be encoded
differently, e.g gender data ‘0’, ‘1’ or
‘m’, ‘f’ and consistent manner
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1. Time variant
 The data are kept for 5 to 10 years
so they can be used for trends,
forecasting and comparisons over
time
2. Nonvolatile
 Once entered into the warehouse,
data are not update (Tdk dpt
diubah)
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1. Relational
 Typically the data warehouse uses
a relational structure
2. Clent/Server
 The data warehouse uses the
client/server architecture mainly to
provide the end user an easy
access to its data
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 Data Marts is a replicated subset
of the data warehouse and is
dedicated to a functional or
regional area.
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 Summary of strategic Uses
of Data Warehousing
Industry Functional Area of Use Strategic Use
Airline Operations and Marketing analysis of route
profitability
Banking Product Development, Customer service,
operation and marketing trend analysis,
product
and service promotion.
Reduction of IS
expenses
Healt Care Operation reduction of operational
expenses
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1. Knowledge Discovery, Analysis
and Mining
 The program of extracting useful
knowledge from volumes of data is
known as knowledge discovery in
databases (KDD) or just knowledge
discovery.
 KDD’s objective is to identify valid,
novel, potensially usefull, and
ultimatelly understandable patterns in
data
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 KDD support by three technologies :
1. Massive data collection
2. Powerfull multiprocessor computers
3. Data Mining Algorithms
 Tools and Techniques of KDD
 KDD tools over time can be divided into
four major stage :
1. Data Collection (1960s)
2. Data Acess (1980s)
3. Data Warehousing and Decion Support (1990s)
4. Intelligence Data Mining (l-1990)
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 The problem with the data
collection and access techniques is
that they are not suitable for a large
volume of data, nor can they be
used effectively by end user.
 Even though Structured Query
Language (SQL) use is becaming
more user friendly.
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 OLAP
(On Line Analytical Processing)
 OLAP refers to such end-user
activities as DSS modeling using
spreadsheets and grahics, which are
done online.
 Unlike online transaction online
processing (OLTP) application.
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 Data Mining
 Data mining derives is name from the
similarities between searching for
valuable business information in a
large database and mining a
mountain for a vein of valuable are.
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I. Impact on Organizations
II. Impact on Individuals at
Work
III. Societal Impacts and The
Internet Community
IMPACT OF IT ON
ORGANIZATIONS, INDIVIDUALS
AND SOCIETY
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1. Structure
2. Authority
3. Power and
4. Job Content
I. IMPACTs ON
ORGANIZATIONS
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1. Job Satisfaction
2. Dehumanization and
Psychological Impacts
3. Impacts On Health and
Safety
I. IMPACTs ON
INDIVIDUALS
AT WORK
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1. Opportunitis For People With
Disabilities
2. Quality of Life Improvements
3. Other Impacts
I. SOCIETAL IMPACTS AND
THE INTERNET
COMMUNITY
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 Structure,Authority,Power and Job Content
a. Flatter Organizational Hierarchies
b. Staff-To-Line Ratio
c. Special Units
d. Centralization of Authority
e. Power and Status
f. Job Contens
g. Role Ambiguity and Conflict
IMPACTs ON ORGANIZATIONS
1.1. Structure
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 Increased Productivity and increased span of
control
 Decreased number of experts
 FOH result from :
 reduction in the total number of employees,
 reengineering of business process, and
 ability of lower-level employee to perform higher –
level job
A. Flatter Organizational
Hierarchies (FOH)
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 The number of professional and
specialists could decline in relation to
the total number of employees in the
organizations.
B. Staff-To-Line Ratio
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 Creating a technology centre
 Internet/electronic commerce unit
 Decision support system departement
 Intelligent system departement
C. Special Units
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 Because of the trend toward smaller
and flatters organizations, centralization
become more popular.
 Example : introduction of expert
systems in general electric’s
maintenance area increased the power
of the desentarlization units because
they become less dependent on the
companys headquarters.
D. Centralization of Authority
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 Knowledge is power
 Changing the power structure within
organization
 Example : expert system may reduce
the power of certain professional group,
becaise their knowledge will be in the
public domain.
E. Power and Status
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 Job Conten is important not only because it is
related to organizational structure, but also
becase it is interrelated with employee
satisfaction, compensation, status, and
productivity.
 Changes in job content occuur when work is
redesigned.
 Example : when BPR (Business Process
Reenginerring) is attempted or when
electronic commerce changes the marketing
system.
F. Job Contens
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 Employee Career Ladders
 Changes in Supervision
 Other Considerations
 The Manager’s Job
IMPACTs ON ORGANIZATIONS
1.2. Personnel Issues
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 Automation of routin decision
 Less expertise required for many
decisions
 Less reliance on experts to provide
support to top executive
 Power distribution among managers
 Electronic support of complex decision
(intelligent agents, DSS)
IMPACTs ON ORGANIZATIONS
1.3. The Manager’s Job
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 Job Stress
 Repetitive Strain Injuries
 Lessening The Negative Impact
on Health and Safety
 Other Impacts
Impacts On Health and Safety
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 Dehumanization :
 Negative effect on people’s individuality,
such : many people feel loss of identity.
 Expert systems or artificial intelligence
are increasingly replacing people in the
creative arena.
Dehumanization and Psychological
Impacts
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 Psychological Impacts :
 Isolating influence : depression and
loneliness
 Distance learning : lack of social impact.
Dehumanization and Psychological
Impacts(2)
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IS and Individual
The Individual
The
Individual
Entertainment
business and
education
Environment
and
application
Security
Home
Informatio
n System Insurance
and
Brokerage
Accounting
and Legal
Police
and Fire
Library
Public and
Private Service
System
Education and
Medical System
Centre
Medical
Database
Hospital
Adm and
treatment
Laisure Time
System
Consumer
System
Financial
System
Travel
Reservation
Theater and
Entertainment
Hotel
Reservation
Department Drug Store
Store
Supermarket
Money Card
Real Estate
Stocks
Integrated
Financial
Database
Educational
and Adm
Record
Computer
Assisted
Education
e-Commerce
E-funds transfer