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All Journal ILKOM Jurnal Ilmiah JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Jurnal Informatika Kaputama (JIK) Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Vokasi JTIK (Jurnal Teknik Informatika Kaputama) G-Tech : Jurnal Teknologi Terapan Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Tika I-Com : Indonesian Community Journal Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0
Yulisda, Desvina
Universitas Malikussaleh
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Journal : ILKOM Jurnal Ilmiah

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Fuzzy C-Means with Borda Algorithm in Cluster Determination System for Food Prone Areas in Aceh Utara Mutammimul Ula; Munirul Ula; Desvina Yulisda; Susanti Susanti
ILKOM Jurnal Ilmiah Vol 15, No 1 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i1.1481.21-31

Abstract

In this research, the clustering of food prone areas in Aceh Utama is based on the Index Ketahanan Pangan (IKP) indicators compiled by Badan Ketahanan Pangan (BKP) using Fuzzy C-Means (FCM) and Borda algorithms. The fuzzy C-Means algorithm was used to classify food-prone areas with three clusters: very prone, moderately prone, and prone. The Borda algorithm was used to choose the most prone area from very prone clusters, which are considered urgently to be followed up by decision-makers. Based on the research results, it was found that in the aspect of food availability, four sub-districts are moderately prone, 10 are prone, and 13 are very prone. Regarding food affordability, it found that 12 sub-districts are moderately prone, seven are prone, and eight are very prone. Regarding food utilization, one sub-district is moderately prone, three are prone, and 23 are very prone. The results of voting using the Borda algorithm in very prone clusters are obtained Sawang District from the aspect of food availability, Syamtalira Aron District from the aspect of food affordability, and Lapang District from the aspect of food utilization. The clustering system is built based on the web using the PHP programming language.
Co-Authors Ananda Faridhatul Ulva Andik Bintoro Angga Pratama Ar Razi Badriana, Badriana Bakhtiar - Ebi Putra Eka susanti Eka Susanti Emi Maulani Eri Saputra Gita Perdinanta Himmatur Rijal Ilham Sahputra Muhammad Fauzan Muhammad Habib munirul ula Mutammimul Ula Muthmainnah S.Kom, M.Kom, Muthmainnah Mutiara Fajar Muzakir Nur Nurdin Nurdin Nurul Hayati Harahap Rahayu Rahayu Rahma Fitria Rahma Fitria Rika Aulia Rizki Setiawan Rizky Putra Fhonna Salsa Nurfasha Sayed Fachrurrazi Susanti Susanti Veri Ilhadi Yofita Sandra, S.Pd., M.Pd., Zico Farlin, Dr. Budiwirman, M.Pd., Zurhijjah Zurhijjah