Metoda Riset Doktoral

8/10/2019 Metoda Riset Doktoral

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ASAS

American Way Continental WayVS


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FOKUS

ANALYSIS SYNTHESISVS

DIAGNOSIS PROGNOSISVS


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TUJUAN

BusinessResearch

PolicyResearch

VS

Kebijakan Perusahaan Kebijakan Publik


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AKTOR

Mono-Disiplin

Lintas-Disiplin

VSInter-Disiplin

VS


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TEKNIK

QuantitativeResearch

QualitativeResearch

VS


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METODOLOGI

PendekatanStatistik

PendekatanSistem

VS


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Keterkaitan Logika (Dubrousky, 2004)

Synthesis

A

N

A

L

YS

I

S

Unity

Parts

PART AND

RELATIONSHIP


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SOFT SYSTEMMETHODOLOGY


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Discover the Management Dilemma

Define the Management Question

Define the Research Question(s)

Reporting

Analysis Interpretation

Data Gethering

Research Planning

Exploration Exploration Refine the

Research

Question (s)

Research

Proposal

Research Design

Formulate Prel iminary

Hypotheses

Data Collection

Design

Sampling

Design

Question &

Instrument Pilot

Testing

Sampling

Design

Prel iminary Analys is

Planning

Data Visualization

Refine Hypotheses

Data Collection &

Preparation

Data Analysis & Interpretation

Research Reporting

Management

Decision

Hypothes es Testing

Legend

Hypothesis Testing and the Research Process(Cooper and Schindler, 2006)


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1. The ProblemSituation Unstructured

2. The Problem

Situation Expressed

7. Action to Improve

the Situation

5. Comparison of 4

with 2

6. Feasible, Desirable

Change

3. Root Definitions

of Relevant Systems

4. Conceptual Models

4A. Formal System

Concept

4B. Other System

Thinking

Real World

System Thinking

Soft system methodology(Checkland, 1999)


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Simplified version of the Modeling Process(Sargent, 1999)

Computer Programming

and Implementation

Problem Entity

Computerized Models

Conceptual Models

ValidityOperational Validity

Computerized Models

Validity

Data

Validity

Conceptual Models

Analysis and ModellingExperimentation


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Defines

Constrains/shapes

Approaches/

defines

Situation type

Defines

Feels aboutDefines

The nature of the system

under consideration

System Complexity

The decision makers ability to

cope with complexity

A particular system under

consideration

The decision maker with his/her

objective and resource

Ability to observe

Real World Situation

Defines

Diagammatic description of system complexity (Ho and Sculli 1995)


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Pendekatan Empirik (data

base)

Pendekatan Semi Empirik

(knowledge base)

Probability Theory

(Statistical Inference)

Possibility Theory

(Inference Engine)

Validity

R2 = Coefisien of determination

Verifikasi

CI = Consistency Indeks

1. Fuzzy set theory

2. Neural networks

3. Knowledge based technology

Prakiraan

(Forcasting)

Teknik Prakiraan Situasional


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