DSpace logo

Please use this identifier to cite or link to this item: http://repository.uksw.edu/handle/123456789/12735
Title: Analisis Stratifikasi Klaster UMKM di Jawa Tengah
Authors: Djati, Setia Tjandra
Issue Date: 2015
Publisher: Magister Studi Pembangunan Program Pascasarjana UKSW
Abstract: The diversity of views and the emergence of many concepts and interests, in the end affecting the development of industry cluster in Indonesia, which then creates an inaccuracy in programming SME development policy groups that called clusters. In particular, this study aims to analyze: The variables forming the development direction of clusters, grouping patterns in activities of SMEs that are grouped in one geographical area based stratification. And finding the Dynamics: "Vertical Linkage, Horizontal Linkage and Institutional Linkage" on any form of "clusters". This studyis using statistics to analyze,There are 3 stages of analysis and 3-way analysis, AHP, Factor Analysis and Cluster anaylsis. Sixteen indicators of cluster development are analyzed using Factor Analysis resulting in six variables. The results of the factor analysis consisted of 6 variables then used to classify the sample with cluster analysis. Based on the AHP analysis obtained the highest factor is connectivity factor, and the second-ranking criteria is business performance, the third factor is business activities of the business units in the cluster and the last one is the institutional. Indicators are interrelated in cluster formation in the early stages, there are 16 empirical indicators which are: Cluster Age, number of business units in the cluster, business unit development, type of business in a cluster, Number of products produced, ability to innovate, use of technology, Reach Marketing, Conditions demand, Added Value, Profit, Market Orientation Development, Linkage Vertical, Horizontal Linkage, Specialization Enterprises in Cluster and Total Institutional Linkage. The results of factor analysis to reduce Empirical Indicators to 5 variables. The 5 variables are development of Market Orientation, Innovation, Profits, Institutional Linkage Age Agglomeration. Using cluster analysis, the sample was divided into 3 groups of agglomeration, ie centers, Static / Dormant, and Developing / Growth. The results of this paper indicate that the definition of clusters and cluster development strata is not a dynamic concept or inexact / definite especially when associated with the sites. Existing cluster theory conceptualized from ideal conditions agglomeration system in the western world, where cultural and social backgrounds closely related to economic behavior, in contrast to the conditions in Indonesia. Therefore it is necessary to examine the development and cluster stratification will be better to enter non-economic variables, to obtain a more complete picture. In order to formulate government policy strategies and stakeholders are advised to conduct an evaluation of stratified cluster development so as to determine the target accuracy in the preparation of policy programs.
URI: http://repository.uksw.edu/handle/123456789/12735
Appears in Collections:T2 - Master of Development Studies

Files in This Item:
File Description SizeFormat 
T2_092008701_BAB I.pdfBab I294.38 kBAdobe PDFView/Open
T2_092008701_BAB II.pdfBab II1.13 MBAdobe PDFView/Open
T2_092008701_BAB III.pdfBab III425.61 kBAdobe PDFView/Open
T2_092008701_BAB IV.pdfBab IV493.25 kBAdobe PDFView/Open
T2_092008701_BAB V.pdfBab V695.76 kBAdobe PDFView/Open
T2_092008701_BAB VI.pdfBab VI107.7 kBAdobe PDFView/Open
T2_092008701_Daftar Pustaka.pdfDaftar Pustaka169.64 kBAdobe PDFView/Open
T2_092008701_Judul.pdfHalaman Judul1.47 MBAdobe PDFView/Open
T2_092008701_Lampiran.pdfLampiran271.08 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.