2016 handout-si KSI -by:sol's- 1

Sistem Informasi *)

*)Oleh : Solikin WS.,M.T. [email protected] Kadir,Abdul & Triwahyuni, Terra Ch. “Pengantar Teknologi Informasi, edisi Revisi”. Yogyakarta: Andi Offset

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handout-SI-032204 KSI -by:sol's-

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 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

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vs Informasi


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 Informasi(2) 

Untuk menjadi informasi,umumnya data perlu mengalami proses pengolahan. Data



Process

Informasi

Sifat informasi dapat perfect (sempurna, tidak mengandung unsur ketidakpastian) dan dapat pula imperfect (tidak sempurna, mengandung unsur ketidakpastian).

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 Informasi(3)



Sumber Informasi :   



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Pengamatan lapangan (observasi) Kuesioner Kejadian / event (pencatatan, perekaman ataupun penangkapan sinyal digital secara langsung). Pemodelan (forecasting, econometric, operational research, simulation, heuristic, dsb). handout-SI-032204 KSI -by:sol's-

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1. 2.

3.

Kualitas Informasi ditentukan oleh 3 Faktor (Burch dan Gurudnitski,1989) : Relevansi Tepat waktu Akurasi

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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 :     

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Loran Periodik Laporan Indikator Kunci Laporan berdasarkan permintaan (on-call report) Laporan Khusus Laporan Penyimpangan (exception report) handout-SI-032204 KSI -by:sol's-

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Laporan dapat di representasikan dengan berbagai bentuk, antara lain yang umum digunakan :   

 

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Narasi Tabel Grafik dan Gambar Kombinasi Kertas/hardcopy


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• 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)

System

Input

Output

Feedback

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

information system menurut Alter (1992)

“kombinasi antar prosedur kerja, infromasi, orang dan teknologi informasi yang diorganisasikan untuk mencapai tujuan dalam sebuah organisasi “

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Types of Information Systems Information Systems

Operations

Management

Support

Support

Systems

Systems

Transaction

Process

Enterprise

Management

Decision

Executive

Processing

Control

Collaboration

Information

Support

Information

Systems

Systems

Systems

Systems

Systems

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. 6/14/2016


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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. 6/14/2016


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Other Categories of Information Systems Expert Systems

Knowledge Management Systems Functional Business Systems Strategic Information Systems Cross-Functional Information Systems 6/14/2016


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Hybrid System ? Disebut juga Sistem informasi terintegrasi vertikal “Sistem informasi yang disediakan suatu organisasi umumnya gabungan dari beberapa sistem informasi “

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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

•IS Human Resources •IS Development

•Customer Relationships •Business Partners •Suppliers •Business Customers

•IT Infrastructure •IS Performance

Ethical Considerations Potential Risks? Potential Laws? Possible Responses?

•Organization Structure •and Culture •User Acceptance

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Chapter Summary (cont) 

IS Resources:     



Hardware Resources Software Resources People Resources Data Resources Network Resources

Products:    

 

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Paper Reports Visual Displays Multimedia Documents Electronic Messages Graphics images Audio Responses


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Chapter Summary (cont) 

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:  

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Operations Support Systems; and Management Support Systems


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 Data

: Tipe Data

Lima tipe utama data pada sistem informasi yang sekarang yaitu : 6.p132-177) 1. 2. 3. 4. 5.

predefined data item, images, text, audio, dan 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 6/14/2016


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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 

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Video adalah kombinasi gambar dan suara yang ditampilkan secara bersamaan. Penggunaannya misalnya melalui video conference.


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Satuan Data  

       

Bit Byte Word Double Word Data Record Field Table Library Database

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satuan terkecil data satu karakter=8 bit satu kata=2 byte=16 bit satu kata=4 byte=32 bit satu data=beberapa byte yang punya arti satu baris data satu lajur/kolom data satu table data (baris dan kolom) satu kumpulan file data satu bank data (kumpulan semua data)


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Evolution of DB Systems       



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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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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. 3. 4. 5. 6.

7. 8.

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Interdisiplinair yang tergabung dalam satu kesatuan Holistik (menyeluruh) Dapat dibedakan dengan yang lainnya (lingkungannya) Sinergi Hierarki Ada aturan (regulasi) Harus punya tujuan (objective) handout-SI-032204 KSI -by:sol's-

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Information Systems Architecture (ISA) 



Overall blueprint for organization’s information systems Consists of: 



 

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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) handout-SI-032204 KSI -by:sol's-

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Information Engineering 

A data-oriented methodology to create and maintain information systems



Top-down planning approach.

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Four steps: 

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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 handout-SI-032204 KSI -by:sol's-

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Information Systems Planning 

Strategy development 



IT Planning to meet Corporate strategy

Three steps: 1.

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Identify strategic planning factors Identify corporate planning objects Develop enterprise model handout-SI-032204 KSI -by:sol's-

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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 



Enterprise data model 



See figure 2.2 See figure 2.1

Planning matrixes 

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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. 2.

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Perfect (tidak mengandung unsur ketidakpastian) 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. 2. 3. 4. 5.

Identifier (sebagai identifikasi) Locater (sebagai penunjuk lokasi) Temporal Classifier Relational

Faktor yang mempengaruhi ‘nilai suatu informasi’ :

 1. 2. 3. 4.

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Tepat ISI dan TELITI (accuracy) Tepat WAKTU (timeliness) Tepat GUNA (relevancy) Tepat SAJI (presentation)


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Manfaat Informasi



Terhadap Proses :

 1. 2. 3. 4. 5. 6.

Terhadap Produk :

 1. 2. 3. 4.

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Menghemat Tenaga Meningkatkan Efisiensi Mempercepat Proses Perbaikan Dokumentasi Pencapaian Standar Perbaikan Keputusan

Peningkatan “feature” Perubahan Karakteristik Peningkatan Fasilitas Penyampaian Produk Inovasi Produk barang atau jasa


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Terhadap Kualitas :

 1. 2.

Komponen SI :

 1. 2. 3. 4.

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Peningkatan kualitas proses (JIT,Feedback, dsb) Peningkatan kualitas produk (standarisasi produk, peningkatan pelayanan, dsb)

Technoware (S/W,H/W, Jaringan) Infoware (Database) Organware (Organisasi dan Prosedur) 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.

2. 3. 4. 5.









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Prosedur Penyiapan Data Prosedur Perekaman Data Prosedur Pemrosesan Data Prosedur Pengamanan Data 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


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Brainware



Mengatur Brainware paling sulit dibandingkan dengan 3 komponen yang lainnya Contoh job dalam bidang IT:



 1. 2. 3. 4. 5.

6. 7. 8. 9.

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Operator Perekam Data Teknisi Perangkat Kerja dan Jaringan Pemrogram APlikasi Sistem (Programmer) Analis Sistem (Analyst) Administrator Database (Database Administrator) Perancang Sistem (System Designer) Perekayasa Perangkat Lunak (S/W Engineering) Perekayasa Jaringan (Network Engineering) Pengelola Proyek SI (IS Project Manager)


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Karakteristik Sistem Environment

Sub Sistem

Sub Sistem

Output

Input

Goals

Sub Sistem

Sub Sistem

Boundary (batas sistem)

Interface (penghubung) Input

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Process

Output


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Siklus Pengolahan Data PROSES (Model)

OUTPUT (Informasi)

ENTRI DATA BASIS DATA

USER (Penerima)

CAPTURING DATA

HASIL TINDAKAN

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KEPUTUSAN TINDAKAN


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Understanding Systems from Business Viewpoint



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

     

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Amazon.com : An Evolving Business Models (Work System Snapshot, Amazon.com provides a different way to shop for books)

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The Work System Framework         6/14/2016

The Customer The Product and Services The Business Process The Participant The Information The Technology Context Infrastructure handout-SI-032204 KSI -by:sol's-

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The Customer  People

who use and receive direct benefit from the products and services

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The Product and Services 

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The combination of physical things information and services that the work system produces for to customer handout-SI-032204 KSI -by:sol's-

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The Business Process 

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The sets of the steps or activities that are performed within the work system


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The Participant 

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People who perform the work step in the business process


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The Information 

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The information used by the participants to perform their work


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The Technology 

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The hardware, software and the other tools and equipment used by the participants handout-SI-032204 KSI -by:sol's-

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Context 

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The organizational, competitive, technical and regulatory realm within which the work system operates handout-SI-032204 KSI -by:sol's-

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Infrastructure 

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Is share human and technical resources that the work system rellies on even through these resources exist and are managed outside of it. handout-SI-032204 KSI -by:sol's-

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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   

People interested in purchasing books order fullfillment department of wholeseller Shipping department Amazon.com

TECHNOLOGY

INFORMATION   

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 6/14/2016


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Data and Knowledge Management (KM) I. 1. 2.

3. 4.

5. 6. 6/14/2016

Data Management : A Critical Success Faktor (CSF) Data Life Cyle Process and Knowledge Discovery Data Source and Collection Data Quality (DQ) Multimedia and OO Databases Document Management handout-SI-032204 KSI -by:sol's-

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Data Warehousing, Mining and Analysis :

II.

1.

2. 3.

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Transaction Vs Analytical Processing Data Warehousing and Marts Knowledge Discovery, Analysis and Mining


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III.

1. 2.

3.

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Data Visualization and Technology Data Visualization Multidimensionality GIS


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IV. 1.

2.

Marketing Databases in Action The Marketing Transaction Database Implementation in Example

KM

V. 1.

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Knowledge Base and Organizational Learning Implementing KM Systems handout-SI-032204 KSI -by:sol's-

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I. I. 

Data Management A Critical Success Faktor (CSF) The Difficulties    



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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 handout-SI-032204 KSI -by:sol's-

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These difficulties and the critical need for

  

Data management

   



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Timely and Accurated information Search effective and efficient

Support TPS Relational Databases Client/Server Environment Finding Data Quiqly and Easly

Creation of Data Warehouse handout-SI-032204 KSI -by:sol's-

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2.

Data Life Cyle Process and Knowledge Discovery 





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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 handout-SI-032204 KSI -by:sol's-

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Converting Data to Knowledge Data Warehousing

Collection

Selection

Preprocessing

Data Source

Transformation

Data Analysis Data mining

Interpretation / Evaluation iMac

Data Sorage

Target Data

Preprocessing Data

Transformed Data

Patterns

Use

Knowledge Storage, Knowledge Base

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3.

Data Source and Collection 





  

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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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     

Data Source :   

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Animation Concepts Opinions Raw or Summarized or extrated data Internal Data Personal Data External Data handout-SI-032204 KSI -by:sol's-

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

Internal Data :  



Personal Data 

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are organizational internal data are stored in one or more places About : people, product, services, and processes IS user or other coorporate employees by creating personal data handout-SI-032204 KSI -by:sol's-

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

External Data : 

 

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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) handout-SI-032204 KSI -by:sol's-

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

Methods For Collection Raw Data 



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Can be collected :  Manually or  Instruments or sensors  Scanned or  Transferred Electronically Manual Data Collected :  Time studies  Surveys  Observations and  Constributions from experts handout-SI-032204 KSI -by:sol's-

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4.

Data Quality (DQ) 



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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.

 2.

 3.

 4.



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Instrinsic DQ : Accuracy, objectivity, believability, reputation Accessability DQ : Accessability and security Contextual DQ : Relevance, Value Added, timeliness, completeness, amount data Representasion DQ: Interpretability, ease of understanding, concise representation, consistent representation handout-SI-032204 KSI -by:sol's-

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

Problem Data (cont..): 

 





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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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





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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 handout-SI-032204 KSI -by:sol's-

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6.

Document Management (DM) 





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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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Data Warehousing, Mining and Analysis :

II.

I.

Transaction Vs Analytical Processing 



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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 handout-SI-032204 KSI -by:sol's-

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

A good data delivery system therefore should be able to support :    

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Easy data access by the end users themselve Quicker decision making More accurate and effective decision making Flexible decision making handout-SI-032204 KSI -by:sol's-

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

This improved option of analytical processing involves three concepts : 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 1.

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2.

Data Warehousing and Marts 



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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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

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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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Data Warehouse Framework and Views

Replication

Legacy Select

Metadata Reposition

OLTP

Transform Integrate Maintain

External

Preparation

Target Database(s) (RDB, MDDB)

Application EIS / DSS Custom-Built Application (4GL Tools) Flat screen

Data Mart

Marketing

Extract Enterprise Data Warehouse

Access

Data Mart

Risk Management

Opeparational System / Data Data Mart

A P I S M I d l e w a r e

Production Reporting Tools Flat screen

Relation Query Tools Flat screen

OLAP / ROLAP Flat screen

Web Browses

Flat screen

Data Mining

Engineering Flat screen

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

Characteristic of Data Warehousing 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 1.

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Time variant  The data are kept for 5 to 10 years so they can be used for trends, forecasting and comparisons over time 4. Nonvolatile  Once entered into the warehouse, data are not update (Tdk dpt diubah) 3.

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Relational  Typically the data warehouse uses a relational structure 6. Clent/Server  The data warehouse uses the client/server architecture mainly to provide the end user an easy access to its data 5.

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

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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

Banking

Product Development, operation and marketing

Healt Care

Operation

analysis of route profitability Customer service, trend analysis, product and service promotion. Reduction of IS expenses reduction of operational expenses

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3.

Knowledge Discovery, Analysis and Mining 



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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 handout-SI-032204 KSI -by:sol's-

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KDD support by three technologies :

 1. 2. 3.



Tools and Techniques of KDD KDD tools over time can be divided into four major stage :



1. 2.

3. 4.

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Massive data collection Powerfull multiprocessor computers Data Mining Algorithms

Data Collection (1960s) Data Acess (1980s) Data Warehousing and Decion Support (1990s) Intelligence Data Mining (l-1990)


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



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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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

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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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

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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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IMPACT OF IT ON ORGANIZATIONS, INDIVIDUALS AND SOCIETY I. II.

III.

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Impact on Organizations Impact on Individuals at Work Societal Impacts and The Internet Community handout-SI-032204 KSI -by:sol's-

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I.

IMPACTs ON ORGANIZATIONS 1. 2. 3. 4.

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Structure Authority Power and Job Content handout-SI-032204 KSI -by:sol's-

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II.

IMPACTs ON INDIVIDUALS AT WORK 1. 2.

3.

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Job Satisfaction Dehumanization and Psychological Impacts Impacts On Health and Safety handout-SI-032204 KSI -by:sol's-

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III.

1.

2. 3.

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SOCIETAL IMPACTS AND THE INTERNET COMMUNITY

Opportunitis For People With Disabilities Quality of Life Improvements Other Impacts


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IMPACTs ON ORGANIZATIONS

1.1. Structure Structure,Authority,Power and Job Content



a. b.

c. d. e. f. g.

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Flatter Organizational Hierarchies Staff-To-Line Ratio Special Units Centralization of Authority Power and Status Job Contens Role Ambiguity and Conflict


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A. Flatter Organizational Hierarchies (FOH) 





Increased Productivity and increased span of control Decreased number of experts FOH result from :   

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reduction in the total number of employees, reengineering of business process, and ability of lower-level employee to perform higher – level job


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B. Staff-To-Line Ratio 

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The number of professional and specialists could decline in relation to the total number of employees in the organizations.


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C. Special Units    

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Creating a technology centre Internet/electronic commerce unit Decision support system departement Intelligent system departement


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D. Centralization of Authority 



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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. handout-SI-032204 KSI -by:sol's-

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E. Power and Status  



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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.


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F. Job Contens 





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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. handout-SI-032204 KSI -by:sol's-

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1.2. Personnel Issues   



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Employee Career Ladders Changes in Supervision Other Considerations

The Manager’s Job


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1.3. The Manager’s Job  







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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) handout-SI-032204 KSI -by:sol's-

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Impacts On Health and Safety   



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Job Stress Repetitive Strain Injuries Lessening The Negative Impact on Health and Safety Other Impacts handout-SI-032204 KSI -by:sol's-

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Dehumanization and Psychological Impacts 

Dehumanization : 



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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.


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Dehumanization and Psychological Impacts(2) 

Psychological Impacts : 



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Isolating influence : depression and loneliness Distance learning : lack of social impact.


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IS and Individual Department Store

Drug Store

Hotel Reservation Theater and Entertainment

Supermarket Money Card Real Estate Stocks Integrated Financial Database

Consumer System

Financial System

Laisure Time System

Travel Reservation

E-funds transfer Library The Individual The Individual

Educational and Adm Record Computer Assisted Education

Education and Medical System

Accounting and Legal

Home Informatio n System

Hospital Adm and treatment Centre Medical Database

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e-Commerce

Entertainment business and education

Environment and application

Police and Fire

Public and Private Service System

Insurance and Brokerage Security


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2016 handout-si KSI -by:sol's- 1

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