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All Journal EIGEN MATHEMATICS JOURNAL Mattawang: Jurnal Pengabdian Masyarakat JINAV: Journal of Information and Visualization Quantitative Economics and Management Studies Panrannuangku Jurnal Pengabdian Masyarakat Daengku: Journal of Humanities and Social Sciences Innovation ARRUS Journal of Social Sciences and Humanities ARRUS Journal of Mathematics and Applied Science VARIANSI: Journal of Statistics and Its Application on Teaching and Research Ininnawa: Jurnal Pengabdian Masyarakat ARRUS Jurnal Pengabdian Kepada Masyarakat Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) Jurnal MediaTIK Journal of Mathematics, Computation and Statistics (JMATHCOS)
Sitti Masyitah Meliyana R.
Universitas Negeri Makassar
Religion Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Journal : Journal of Mathematics, Computation and Statistics (JMATHCOS)

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Implementation of K-Median Algorithm for the Regencies Clustering in South Sulawesi Province Based on Food Commodity Yields Hardianti Hafid; Sitti Masyitah Meliyana
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.3674

Abstract

Abstrak. Ketahanan pangan berkaitan dengan tentang potensi produksi di berbagai wilayah di Indonesia. Penelitian ini bertujuan untuk mengidentifikasi pola distribusi produksi komoditas pangan di Provinsi Sulawesi Selatan dengan menggunakan metode K-Median clustering. Data sekunder yang diperoleh dari Badan Pusat Statistik Provinsi Sulawesi Selatan digunakan untuk menganalisis produksi padi, jagung, ubi jalar, ubi kayu, kacang tanah, dan kedelai. Hasil clustering menunjukkan bahwa pengelompokan untuk produksi padi, ubi jalar, ubi kayu, kacang tanah, dan kedelai terbentuk dengan baik dimana nilai Silhouette Coefficient masing-masing sebesar 0,53, 0,56, 0,69 dan 0,66, menunjukkan kesamaan yang signifikan dalam setiap cluster. Namun, pengelompokan produksi jagung menunjukkan kualitas cluster yang lebih lemah dengan nilai 0,46. Hal ini menunjukkan adanya keragaman yang lebih besar dalam distribusi produksi jagung di berbagai wilayah Kabupaten/Kota Provinsi Sulawesi Selatan. Hasil penelitian ini diharapkan dapat memberikan dasar yang kuat bagi pembuat kebijakan untuk merancang strategi peningkatan produksi dan distribusi pangan yang lebih terarah, serta mendukung perencanaan kebijakan berbasis data yang lebih efisien di Provinsi Sulawesi Selatan. Kata Kunci : Clustering, K- Median, Komoditas Pangan Abstract. Abstract: Food security is closely related to the production potential in various regions of Indonesia. This study aims to identify the distribution patterns of food commodity production in South Sulawesi Province using the K-Median clustering method. Secondary data obtained from the Central Statistics Agency of South Sulawesi Province were used to analyze the production of rice, corn, sweet potatoes, cassava, peanuts, and soybeans. The clustering results indicate that the clusters formed for rice, sweet potatoes ,cassava, peanuts, and soybeans were well-defined, with Silhouette Coefficient values of 0,53, 0,56, 0,69 dan 0,66, respectively, showing significant similarity within each cluster. However, the clustering of corn production showed weaker cluster quality with a coefficient of 0.46, indicating greater variability in the distribution of corn production across the districts/cities in South Sulawesi Province. The findings of this study are expected to provide a strong foundation for policymakers to design more targeted strategies for improving food production and distribution, as well as to support more efficient data-driven policy planning in South Sulawesi Province.
Co-Authors Abdul Rahman Ahmad Yasir Aras Ahmar, Ansari Saleh Aidid, Muhammad Kasim Alok Kumar Panday Angri Lismayani Anisa Nurfadilah Nurdin Annisa, Nurawalia Baso Intang Sappaile Elisa, Nur Erman Syarif Hardianti Hafid Hastuty Musa Isma Muthahharah Isma Muthahharah Jamaluddin Jamaluddin Lince, Ranak Mar'ah, Zakiyah Mar’ah, Zakiyah Miguel Botto-Tobar Muhammad Ammar Naufal Muhammad Ansarullah S. Tabbu Muhammad Isbar Pratama Muthahharah, Isma Nachnoer Arss Parkhimenko Vladimir Anatolievich R. Rusli Rahman, Abdul Rahmat Hidayat Rais, Zulkifli Rezky Amalia Hamka Ruliana Ruliana, Ruliana Ruliana, R. Rusli Rusli Rusli Rusli Rustam, Sitti Nail Rustam, Sitti Nailah S. Sudarmin, S. Siti Nurazizah Auliah Sitti Nailah Rustam Sitti Nailah Rustam Sudarmin Sudarmin Yunus, Asmar Zakiyah Mar'ah Zakiyah Mar'ah Zakiyah Mar'ah Zakiyah Mar’ah Zulkifli Rais