TY - GEN
T1 - Clustering of Provinces in Indonesia Based on Regional Investment Capacity with Density-Based Spatial Clustering of Applications with Noise Method
AU - Nabarian, Tifanny
AU - Sutoto,
AU - Gusmawati, Nerifa
AU - Trimaratus Sholehah, Danil Prastika
AU - Nizar Hidayanto, Achmad
AU - Sari, Annisa Monicha
N1 - Funding Information:
This study was supported by PITTA Research Grant 2019 entitled "Studi Pengelolaan data di Era Industri 4.0". PITTA Research Grant was provided by Universitas Indonesia.
Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/4
Y1 - 2019/4
N2 - 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.
AB - 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.
KW - clustering
KW - DBSCAN
KW - investment
KW - potential
KW - realization
KW - regional
UR - http://www.scopus.com/inward/record.url?scp=85091334375&partnerID=8YFLogxK
U2 - 10.1109/ICCED46541.2019.9161110
DO - 10.1109/ICCED46541.2019.9161110
M3 - Conference contribution
AN - SCOPUS:85091334375
T3 - 5th International Conference on Computing Engineering and Design, ICCED 2019
BT - 5th International Conference on Computing Engineering and Design, ICCED 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Computing Engineering and Design, ICCED 2019
Y2 - 11 April 2019 through 13 April 2019
ER -