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Journal : Journal of International Conference Proceedings

Performance of K-Means and DBSCAN Algorithm in Clustering Gross Regional Domestic Product Wororomi, Jonathan K.; Allo, Caecilia Bintang Girik; Paranoan, Nicea Roona; Gusthvi, Wickly
Journal of International Conference Proceedings Vol 6, No 5 (2023): 2023 UICEB Papua Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i5.2710

Abstract

Gross Regional Domestic Product (GRDP) is one of important indicator to determine the economic conditions of a region. GRDP are obtained from sum of value added produced by all unit of production in a region. This study use GRDP by production approach that grouped into seventeen categories of Industry. The government always put the big efforts to increase the economic growth after Covid-19 pandemic. According publication of BPS - Statistics Indonesian, in the year of 2021 and 2022 it’s growth between 3.70% and 5.31%. The aim of these study are determined the cluster GDRB based on province in Indonesia at current prices and analyses the performance of the cluster method. The results showed that by using the DBSCAN, two clusters were formed and one province can be detected as an outlier. On the other hands, performance of the method by K-Means showed two clusters. The silhouette value using K-Means is higher than the DBSCAN. For these case, the performance of K-Means is more appropriate than DBSCAN to use in clustering province in Indonesia based on GRDP at Current Market Prices. Moreover, performance of DBSCAN shows more sensitive on outliers detection.
Performance of K-Means and DBSCAN Algorithm in Clustering Gross Regional Domestic Product Wororomi, Jonathan K.; Allo, Caecilia Bintang Girik; Paranoan, Nicea Roona; Gusthvi, Wickly
Journal of International Conference Proceedings Vol 6, No 5 (2023): 2023 UICEB Papua Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i5.2710

Abstract

Gross Regional Domestic Product (GRDP) is one of important indicator to determine the economic conditions of a region. GRDP are obtained from sum of value added produced by all unit of production in a region. This study use GRDP by production approach that grouped into seventeen categories of Industry. The government always put the big efforts to increase the economic growth after Covid-19 pandemic. According publication of BPS - Statistics Indonesian, in the year of 2021 and 2022 it’s growth between 3.70% and 5.31%. The aim of these study are determined the cluster GDRB based on province in Indonesia at current prices and analyses the performance of the cluster method. The results showed that by using the DBSCAN, two clusters were formed and one province can be detected as an outlier. On the other hands, performance of the method by K-Means showed two clusters. The silhouette value using K-Means is higher than the DBSCAN. For these case, the performance of K-Means is more appropriate than DBSCAN to use in clustering province in Indonesia based on GRDP at Current Market Prices. Moreover, performance of DBSCAN shows more sensitive on outliers detection.
Co-Authors Abda Abda Albertus Girik Allo Allo, Caecilia Bintang Girik Allo, Ceacilia Bintang Girik Allo, Cecilia Bintang Girik Appa, Felycitiae E. Aryanto Aryanto Aryanto Ayub Sahala Gultom B Fitriya, Winda Ade Basa T Rumahorbo Battu, Yudistira S. Bobi Frans Kuddi Boli, Elisabert Bre Caecilia Bintang Girik Allo Daniel Z.K. Wambrauw Deppa Ringgi’ Efray Wanimbo Eygner Talakua FEBY SERU Felycitae Ekalaya Appa Fitriya B , Winda Ade Frans Augusthinus Asmuruf Friyuanita Lubis Girik Allo , Caecilia Bintang Gunawan, Vincentius Abdi Gusthvi, Wickly Hamzah, Hardi Hardi Hamzah Haryati, Kristina Hehanussa, Kedswin Gerson Himawan Himawan Imam Mishbach Jonathan k. Wororomi Karisoh, Gabriela O Karisoh, Gabriela O. Kobak, Unyil Leopold A. Tomasila Liyatin Gea Lolita Tuhumen Lolita Tuhumena Mandey, Vera Kostansie Maruanaya, Yan Mentansan , George Muhammad Hisyam Muhammad Hisyam Nada Pertiwi Papriani Nazal, Muhammad Asghar Numberi, Yulindra Margaretha Nur Fadilah Bakri Papriani, Nada Pertiwi Pattinaja, Yvonne I. Pattipeilohy, Christian Ernsz Paulangan, Yunus P. Payapo, Muhammad Zia Ulhaq Pirhel, Pirhel Pisi Bethania Titalessy Popi Ida Laila Ayer Putra, Leonardus Sandy Ade Rachim , Armansyah Ramadei, Yohana RR. Ella Evrita Hestiandari Santinia Andiva Pramesti Sara Umbekna Sara Umbekna Sitti Rosnafi’an Sumardi Sonbait , Lukas Yowel Suarni. S Tomasila, Leopold A. Tommi Tommi, Tommi Tubur , Herman Wafom Umbekna , Sara Umbekna, Sara Umi Yuminarti Uria , Darmawanto Wambrauw, Daniel Z.K. Wattilete, Jeirel Way, Jufentus Ronaldo Widati , Agatha Wahyu Winda A F Butar butar Winda Ade Fitriya B Yofreds Tanamal Yulindra M. Numberi