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Analisis Potensi Komoditas Kopi Kabupaten/Kota di Indonesia Tahun 2015: Metode Fuzzy C-Medoid Clustering Adilla Zikra; Hudan Dhardiri; Susi Yulianti
Journal of Agricultural Socio-Economics (JASE) Vol 3, No 1 (2022): Journal of Agricultural Socio-Economics (JASE)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jase.v3i1.14847

Abstract

Indonesia is one of the largest producing and exporting countries of coffee in the world. 90% of coffee plantations in Indonesia are empowered by small farmers. By that, the development of coffee production in Indonesia has a great influence to the improvement of the welfare of people with middle to lower economic capacity and is able to encourage inclusive economic growth. However, until now Indonesia's coffee production still has a weak competitiveness compared to the other three exporting countries. The quality of Indonesian Arabica and Robusta coffee beans as export varieties is relatively low, causing the Indonesian coffee market share to be threatened. This reflects that the government's efforts to improve the quality and production of coffee are not optimal and not well targeted. Those efforts will run more effectively and efficiently when it’s applied to areas with high coffee production potential. Therefore, this study aimed to analyze which regions in Indonesia that have potential for coffee production and group them into clusters according to the characteristics of each region they have. The data in this study were sourced from the Indonesian Coffee Statistics Publication of the Directorate General of Plantations, Ministry of Agriculture in 2015 and the analytical method used is a descriptive method with graphs and Fuzzy C Medoid Clustering. The results of the robusta coffee clustering show that there are 28 districts/cities classified as high potential to develop this type of coffee with the characteristics of coffee plantation area, percentage of undamaged coffee plantation land, coffee productivity, and a high number of coffee farmers. Meanwhile, for Arabica coffee, there are 32 regions/cities classified as high potential with the characteristics of coffee plantation area and large number of coffee farmers. These results can be utilized by the local government as well as the central government to focus on the development of coffee production in these districts/cities.
Pemetaan Potensi dan Komoditas Lokal Unggulan Perikanan Laut Kabupaten/Kota di Provinsi Nusa Tenggara Timur Tahun 2016 Hudan Dhardiri; Susi Yulianti; Adilla Zikra
JURNAL SOSIAL EKONOMI PESISIR Vol 3 No 1 (2022): Jurnal Sosial Ekonomi Pesisir
Publisher : Jurusan Sosial Ekonomi Perikanan

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Abstract

One of the government's development priorities in Nawa Cita to succeed the SDGs is to build economic independence by driving strategic sectors of the domestic economy, one of which is the marine fisheries sector. The region that has the potential to be developed, by utilizing the local potential of marine fisheries, is the Province of East Nusa Tenggara (NTT). NTT has a great marine fisheries potential because it has a sea area of approximately 200,000 km2 with a coastline of about 5,700 km2. The purpose of this study was to find out which districts/cities are classified as high potential in the marine capture fisheries sub-sector and what marine capture fisheries commodities have the highest potential in each of those districts/cities in NTT Province in 2016. The data used in this study were sourced from the Fisheries Service, NTT and the analytical method used is descriptive analysis, cluster analysis using the Fuzzy C-Medoids method, and Location Quotient. The results of the analysis show that there are 8 districts/cities classified as high potential in the marine capture fisheries sub-sector in NTT Province in 2016, which are East Sumba, Kupang, Alor, East Flores, Sikka, Ende, Manggarai, and Kupang City. The commodities that have the highest potential in the marine capture fisheries sub-sector in each of these potential areas are paperek fish, flying fish, kite, jackfruit seeds, selar, tembang, mackerel, and skipjack.