Clustering of Provinces in Indonesia Based on Regional Investment Capacity with Density-Based Spatial Clustering of Applications with Noise Method

Tifanny Nabarian, Sutoto, Nerifa Gusmawati, Danil Prastika Trimaratus Sholehah, Achmad Nizar Hidayanto, Annisa Monicha Sari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Each region has a different level of investment capability which causes the investment attractiveness in an area to be different. By knowing the level of investment capability in an area, the government can plan a strategy to increase the realization of investment in the area. Regional clustering could help and assist the central and regional government to construct strategic planning in order to increasing investment based on potential available. In this study, we use Density-based Spatial Clustering of Applications with Noise as a clustering method. The results showed that seven factors of regional investment potential / capacity had correlation above 50% with investment realization of provinces in Indonesia. Provinces were clustered into three clusters, with epsilon and minpts parameters is 6.8 and 3 for investment potential, and 0.85 and 2 for investment realization.

Original languageEnglish
Title of host publication5th International Conference on Computing Engineering and Design, ICCED 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728120942
DOIs
Publication statusPublished - Apr 2019
Event5th International Conference on Computing Engineering and Design, ICCED 2019 - Singapore, Singapore
Duration: 11 Apr 201913 Apr 2019

Publication series

Name5th International Conference on Computing Engineering and Design, ICCED 2019

Conference

Conference5th International Conference on Computing Engineering and Design, ICCED 2019
CountrySingapore
CitySingapore
Period11/04/1913/04/19

Keywords

  • clustering
  • DBSCAN
  • investment
  • potential
  • realization
  • regional

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