METODE SISTEM
METODE SISTEM
oleh
TOPIK
• Prinsip Sistem
• Paradigma & Klasifikasi Metode Sistem
• Kapan Menggunakan Metode
System
Dynamics
System?
A collection of parts that interact with one
another to function as a whole. A System is
more than the sum of its part – it is the
product of their interaction (Ackoff, 1993);
A grouping of parts that operate together for
a common purpose (Forrester, 1968).
Adalah
Adalah
cara
cara
memandang
memandang
masalah
masalah
sebagai
sebagai
sebuah
sebuah
sistem
sistem
;
;
yaitu
yaitu
memandang
memandang
masalah
masalah
secara
secara
menyeluruh
menyeluruh
(
(
whole
whole
-
-ness
ness
)
)
dan
dan
adanya
adanya
keterkaitan
keterkaitan
antar
antar
bagian
bagian
sistem
sistem
(
(
connectedness
connectedness
).
).
SYSTEMS THINKING?
Konsep sistem mengandung:
1. Element/unsur
2. Relationship
3. Boundary
4. Input & output
5. Environtment
Ciri Sistem
Ciri Sistem
SISTEM =
KUMPULAN UNSUR
YANG SALING BERKAITAN
DAN BERSAMA-SAMA
MELAKUKAN FUNGSI TERTENTU
CIRI:
UNSUR BANYAK, LEBIH DARI SATU
SALING BERHUBUNGAN, SALING BERGANTUNGAN,
SALING BERINTERAKSI
SECARA MENYELURUH, BERSAMA-SAMA
Sifat Sistem
Sifat Sistem
SISTEM TERDIRI DARI BEBERAPA
SUBSISTEM. SISTEM MENJADI BAGIAN
(SUBSISTEM) DARI SISTEM YANG LEBIH
BESAR
SIFAT SISTEM ADALAH SIFAT SISTEM
MENYELURUH. SIFAT SISTEM HANYA
MUNCUL APABILA SISTEM BEKERJA SECARA
MENYELURUH. SUBSISTEM TIDAK MEMILIKI
SIFAT SISTEM
MEMECAH SISTEM MENJADI SUBSISTEM
ADALAH ANALISIS. ANALISIS BERTUJUAN
UNTUK MENDALAMI PENGETAHUAN
TENTANG SUBSISTEM. SIFAT SUBSISTEM
BUKAN SIFAT SISTEM MENYELURUH.
MEMBANGUN SUBSISTEM MENJADI SISTEM
ADALAH SINTESIS. SINTESIS BERTUJUAN
UNTUK MENGETAHUI SIFAT SISTEM SECARA
MENYELURUH.
SEMUA SUBSISTEM MEMPUNYAI PENGARUH
TERHADAP SISTEM
(MIS. TUBUH, MOBIL)
KETERKAITAN MENGAKIBATKAN
KOMPLEKSITAS.
DETAIL COMPLEXITY = BESARNYA JUMLAH
SUBSISTEM
(MIS. JIGSAW PUZZLE).
DYNAMIC COMPLEXITY = BESARNYA
JUMLAH KETERKAITAN SUBSISTEM
(MIS.
MENGUBAH SUATU SUBSISTEM AKAN
MENGAKIBATKAN PERUBAHAN DALAM
SISTEM, DAN AKAN TERJADI AKIBAT
SAMPINGAN
SISTEM AKAN MELAWAN PERUBAHAN YANG
TERJADI DALAM SISTEM, KARENA
SUBSISTEM SALING TERKAIT DALAM SISTEM
DALAM SISTEM TERDAPAT SUBSISTEM YANG
DENGAN UPAYA KECIL DAPAT
MENGAKIBATKAN PERUBAHAN BESAR
DALAM SISTEM = LEVERAGE
Harga - Konsumsi Stok Nasional Supply -+ -Subsidi Impor + + + Minat Tanam Penanaman Tebu Panen Ekspor Isu Politik Int’l Trade Issue Spekulan + + + + + + + Penimbunan + + -+ +
-Fenomena Bisnis Gula
ST dalam Keseharian
CYCLICAL PATTERN
WE ARE IN THIS TOGETHER
FLUCTUATING PATTERN
VICIOUS CIRCLE
RIPPLE EFFECT
CHRONIC BEHAVIOUR
DOWNWARD/UPWARD SPIRAL
SELF-FULFILLING PROPHECY
SNOWBALLING
ORGANISASI PEMBELAJARAN
KLASIFIKASI SISTEM dalam TSI
Simple:
• a small number of elements;
• few interactions between the elements; • attributes of element are predetermined; • well-defined laws govern behavior;
• the ‘system’ does not evolve over time; • ‘sub-systems’ does not pursue their goal;
• the ‘system’ is unaffected by behavioral influences; • the ‘system’ is lagely closed to the environment. Pluralist
• a large number of elements;
• many interactions between the elements;
• attributes of the elements are not predetermined;
2. Paradigma & Klasifikasi Sistem
Unitary:
• they share common interests;
• their value & beliefs are higly compatible; • they largely agree upon ends & means; • they all participate in decision making;
• they act in accordance with agreed objectives.
Pluralist
• they have a basic compatibility of interest; • their value & beliefs diverge to some extent;
• they do not necessarily agree upon ends & means, but compromise is possible; • they all participate in decision making;
• they act in accordance with agreed objectives.
Coercive
• they do not share common interest;
• their value & beliefs are likely to conflict;
• they do not agree upon ends & means & ‘genuine’ compromise is not possible; Dimensi Sistem
Ragam Metode Sistem:
• SSM (Soft System Methodology) • SD (System Dynamics)
• VSD (Viable System Diagnosis) • TSI (Total Systems Intervention)
• SAST (Strategic Assumtion Surfacing and Testing) • IP (Interactive Planning)
• CSH (Critical System Heuristics)
• SODA (Strategic Options Development and Analysis) • Cognitive Mapping
UNITARY PLURALIST COERCIVE SIMPLE • OR • SA • SE • SD • SSD
• SAST • Critical systems heuristics COMPLEX • VSD • GST • Socio Tech. • Contingency theory • Interactive Planning • SSM ?
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Fakta dalam Gambar
Penggunaan Model dalam Sistem
Jenis Model dalam Metode Sistem
MODEL KERAS
MODEL LUNAK
1. DEFINISI
MODEL
REPRESENTASI
DUNIA NYATA MERANGSANG DISKUSI TENTANG INSIGHT DUNIA NYATA
2. DEFINISI SOAL
JELAS DENGANTUJUAN TUNGGAL AMBIGUOUS (TIDAK TERLALU JELAS) DENGAN TUJUAN JAMAK
MODEL KERAS
MODEL LUNAK
4. DATA
KUANTATIF KUANTITATIF & KUALITATIF5. GOAL
PENDALAMAN, SOLUSI/OPTIMISASI, PREDIKSI PROSES PEMBELAJARAN, PENDALAMAN6. KELUARAN
HASIL SIMULASI, PRODUK,REKOMENDASI
KEMAJUAN MELALUI GROUP LEARNING
System Dynamics:
… the investigation of the information-feedback characteristics of [managed] systems and the use of models for the design of improved organizational form and guiding policy (Forrester, 1961).
A rigorous method for qualitative description, exploration and analysis of complex systems in terms of their processes,
information, organizational boundaries and strategies; wich facilitates quantitative simulation modelling and analysis for design of system structure and behavior (Wolstenhome, 1990). dalam Coyle (1996: 9)
SYSTEM DYNAMICS
Capture Nonlinearity Dynamic Causality & Endogenous Behavior
In builds Strengths of Both
Traditional Mgt & Mgt Science and Complement Weakness
Utilizes Strength of Human Mind & Mental Models and Complement their weakness by technology
Matches Strength and weakness of multiple sources of information Portray Bounded Rationality and helps in overcoming Bounds
Enrich interplay with Micro-world by providing Maps Using Feedback and Behavioral Decision Theory
Intermediate Feedback about Impacts of Policies Through Nature of Managerial &
Social System
Limitation of Traditional Management
Limitation of Human Mind
Different source of Information
Bounded Rationality in Decision Making
Direct Feedback From Real Life on Policy
Limited Interplay Knowledge and Policy Debates
• Modeling is embedded in the dynamic of the system. (in single and double loops learning feedback)
• Effective modeling
involve constant iteration between experiments and learning in the virtual
world and experiments and learning in the real world
External Concern
Metode Pemodelan
Understanding of the system Policy Implementation Policy Analysis & Improvement Simulation & Validation Model System Conceptualization Problem Identification & Definition
Conceptual Technical Problem Definition System Conseptualization Model Representation Model Behavior Model Evaluation Refinement
Con td.