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Transcript of DATABASE MANAGEMENT SYSTEMS (DBMS) fileData vs Information Data: raw facts or observations...
1
DATABASE MANAGEMENT
SYSTEMS (DBMS)
by
Prof. Kudang B. Seminar, MSc, PhD
e-mail: [email protected]
Performance
Control System
Data Info Process
Data Store
N E T W A R E
Database sebagai Komponen Vital Sistem
Informasi
2
Data
Processing Sales Analysis
Data Information
Data Sales person
Sales Values
Sales Units
Data vs Information
Data: raw facts or observations
Information : data that have been transformed into a meaningful and useful context for specific end users
Sample Business Application
3
Sample Tabular View of Sales
Sample Pivot Chart for Sale Analysis
4
Akusisi Data Geografis
Data Geografis Yang Tersimpan
5
Produk Informasi Geografis
Basis Data (Database)
Integrated collection of inter-related data
designed for the need of an enterprise.
Student
Data
Lecturer
Data
Course
Data
Alumni Data
6
(Data Requirement Analyisis)
• Think and conceptualize business objects and logic • Identify information needed -> then what data are needed • Formulate what computer applications are needed?
Management
Functions
Management
Objectives
Supporting
Information
Supporting
Data
Sources of
Data
Backward Requirement Analysis
Forward Support Analysis
• Monitoring
• Directing
• Planning
• Acting
• Monitoring Student Progress …
• Directing Student Research …
• Planning for Remedial Efforts .
• Acting on Remedial Plan …
• KRS
• Transkrip
• Supervisi
• Research
List
• Academic Progress
• Treated Students
• Student Potentials
• Academic Problem
• BAAK
• Faculty
• Dept.
• Study
Program
Kasus Contoh: Data Requirement Analysis
7
Data Info Monitoring Directing Acting
KRS, Transkrip IPK Kumulatif Status Akademik
Mhs
Warning 1, 2, 3,
rekomendasi
D.O or Extended
Minat riset &
PTA mhs, Data
PTA
Profile minat
riset & PTA
mhs, Beban
PTA
Analisis minat riset
& PTA mhs
Alokasi PTA utk
mhs
Alokasi final PTA
utk mhs
Catatan riset
mhs, Trankrip,
KRS.
Kemajuan riset
mhs
Status Akademik
Mhs
Rekomendasi
perlakuan
Eksekusi
perlakuan
Catatan riset
mhs, Trankrip,
KRS
Profile
kelulusan mhs:
lama studi &
prestasi akad.
Analisis kelulusan:
rerata lama studi,
ranking akademik
Rekomendasi
program
akselerasi studi
Eksekusi
akselerasi studi
Data=
Data1..n
Info=
Info1..n
Management Functions = Monitoring
Directing Acting Mencapai
Target Academic Excellence?
Contoh Kasus: Analisis Kebutuhan Data Mhs
Utilisasi Vs Ketersedian Informasi
• Ada dan Diperlukan
• Tak ada dan Diperlukan
• Ada dan Tak Diperlukan
• Tak Ada dan Tak Diperlukan
Ada Tak Ada
Perlu
Tak Perlu
8
Data Acquisition &
Information Production
Database Management Systems (DBMS) Koleksi terpadu dari sekumpulan program (utilitas) yang
digunakan untuk mengakses dan merawat database
Database
DBMS Utilitas
Users
9
Application Programs on Top of DBMS
Database
DBMS
Application programs
Users
Tim Pengembangan Master Plan
Eksplorasi Database
10
Keuntungan DBMS
• Data menjadi shareable resources bagi berbagai user dan aplikasi
• Metoda akses, penggunaan, dan perawatan data menjadi seragam dan konsisten
• Pengulangan (redundancy) data dan kemajemukan struktur data diminimisasikan
• Ketaktergantungan data terhadap program aplikasi (data independence)
• Hubungan/relasi logik (logical relationship) antar data terpelihara secara sistematik.
Conventional Data Management
Application Application
• Data belongs to a certain application programs ; therefore it is
difficult to share data among application programs
• Data lifetime is limited (dependent ) to application program lifetime.
• Data redundancy and inconsistency will likely occur
• Non-uniform access method, data usage and maintenance.
• Incompatibility of data among application programs
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Examples of software tools in DBMS
• Designing : ERD (Entity Relationship Diagram), DDL (Data
Definition Language)
• Inputing & Manipulating: DML (Data Modification
Language), QL (Query Language), Multimedia processor
• Searching & Retrieving: QL (Query Language): SQL * QBE
• Converting & Squeezing: Encoder & Decoder, Data
Converter & Squeezer, Multimedia processor
• Optimizing : Data Organizer & Analyzer
• Calculating: Math & statistical functions
• Presenting: Report Generator, Multimedia Processor
Multiple Systems
Shareable Resources
DBMS Approach Enables Resource Sharing Among
Applications and Users
12
Data Management Life Cycle
Real World
• Observing • Identifying
• Conceptualizing • Representing • Structuring
• Coding
• Optimizing • Analyzing • Updating
• Protecting • Monitoring
• Browsing
• Need of changes