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Vol.12, No.2, May 2023. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Extracting Patterns of Proximity in Regional Development Inequality Using Hierarchical Agglomerative Clustering
Tb Ai Munandar, Dwipa Handayani
© 2023 Tb Ai Munandar, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 12, Issue 2, Pages 680-690, ISSN 2217-8309, DOI: 10.18421/TEM122-11, May 2023.
Received: 06 February 2023. Revised: 24 April 2023.
Abstract:
Equitable regional development is still difficult to implement. Many interests in determining regional development priorities make it difficult to realize the main goals of national development. Political interests and the underutilization of regional statistical data are often other obstacles in carrying out regional development. This study aims to classify regional development data to be used to analyse existing development inequalities. Gross regional domestic income (GRDP) data is the main data in this study. The researcher used the hierarchical agglomerative clustering (HAC) technique. The results of the cluster can be used as a consideration for local governments to determine future regional development priorities. In addition, visualized cluster results in the form of a dendrogram can show the proximity of development inequality between regions.
Keywords –Regional development, development inequality, cluster technique, agglomerative clustering. |
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