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All Journal Jurnal Sains Matematika dan Statistika Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA)
Igo, La
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Aerospace Engineering Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science Mathematics Mechanical Engineering Neuroscience Physics

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Application of x-means alghorithm for district/city clustering based on povetry rate in Maluku Islands and Papua Matdoan, M. Y.; Igo, La
Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA) Vol. 3 No. 1 (2023): March: Mathematics and natural science
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah I Sumatra Utara (LLDikti I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54076/jumpa.v3i1.270

Abstract

Based on the Central Statistics Agency in 2022, the percentage and number of poor people according to islands in March 2022 explained that the largest number of poor people are on Maluku Island and Papua, 19.89 percent. This research used data mining techniques with the X-Means Clustering method. The data in this study was taken from the website of the Central Statistics Agency (BPS) of Maluku, North Maluku, Papua, and West Papua consisting of 63 regencies/cities with 8 variables. Then all the data was processed with Rapidminner and produced 3 clusters, namely cluster 0 consisting of Buru, Western Seram, Central Halmahera, Sula Islands, South Halmahera, North Halmahera, East Halmahera, Morotai Island, Jayapura, Nabire, Biak Numfor, Paniai, Pucak Jaya, Mimika, Tolikra, Nduga, Puncak and Manokwari. Cluster 1 consists of Tanimbar Islands, Southeast Maluku, Aru Islands, Eastern Seram, Southwest Maluku, South Buru, Tual, West Halmahera, Taliabu Island, Ternate, Tidore Islands, Yapen Islands, Boven Digoel, Mappi, Asmat, Star Mountains, Sarmi, Keerom, Waropen, Supiori, Mamberamo Jaya, Central Mamberamo, Yalimo, Dogiyai, Intan Jaya, Deiyai, Fakfak, Kaimana, Wondama Bay, Bentuni Bay, South Sorong, Sorong, Raja Ampat, Tambrauw, Maybrat, South Manokwari and Arfak Mountains and cluster 2 consisting of Central Maluku, Ambon, Merauke, Jayawijaya, Yahukimo, Lanny Jaya, Jayapura City, and Sorong City.
PENERAPAN ALGORITMA K-MEANS UNTUK KLUSTERISASI KABUPATEN/KOTA BERDASARKAN TINGKAT KEMISKINAN DI KEPULAUAN MALUKU DAN PAPUA Matdoan, M. Y.; Igo, La; Rumeon, Ramli; Fadhilah, Rahmi; Laamena, N. S.
Jurnal Sains Matematika dan Statistika Vol 10, No 1 (2024): JSMS Januari 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v10i1.21260

Abstract

Berdasarkan data Badan Pusat Statistik Tahun 2022 menunjukan bahwa persentase penduduk miskin terbesar berasal dari Kepulauan Maluku dan Papua. Penelitian ini menggunakan meotde K-Means untuk klusterisasi kabupaten/kota berdasarkan tingkat kemiskinan. Data yang diperoleh pada penelitian ini berasal dari BPS Provinsi Papua, Papua Barat, Maluku dan Maluku Utara yang terdiri dari 63 kabupaten/kota dengan 8 menggunakan variabel. Penelitian ini disimpulkan bahwa terdapat 3 kluster dalam tingkat kemiskinan di Kepulauan Papua dan Maluku. Kluster 0 terdiri atas Kabupaten Maluku Tengah, Kota Ambon, Kota Merauke, Jayawijaya, Kota Jayapura, Lanni Jaya dan Kota Sorong. Cluster 1 yang terdiri atas Kabupaten Seram Bagian Barat, Buru, Halmahera Tengah, Halmahera Selatan, Halmahera Timur, Halmahera Utara, Kepulauan Sula, Pulau Morotai, Jayapura, Biak Numfor, Puncak Jaya, Nabire, Paniai, Mimika, Tolikara, Yahukimo, Puncak, Manokwari dan Nduga. Selanjutnya cluster 2 yang terdiri atas Kepulaun Tanimbar, Maluku Tenggara, Kepulaun Aru, Seram Bagian Timur, Maluku Barat Daya, Buru Selatan, Tual, Halmahera Barat, Pulau Taliabu, Ternate, Tidore Kepulauan, Kepulauan Yapen,  Mappi, Boven Digoel, Asmat, Sarmi, Pegunungan Bintang, Keerom, Supiori, Waropen, Mamberamo Raya, Yalimo, Dogiyai, Mamberamo Tengah, Intan Jaya, Deiyai, Kaimana, Teluk Wondama, Fakfak, Teluk Bintuni, Sorong Selatan, Sorong, Tambrauw, Raja Ampat Maybrat, Pegunungan Arfak  dan Manokwari Selatan. Kata Kunci:  Kemiskinan, Klustering, K-Means.
Co-Authors Fadhilah, Rahmi Laamena, N. S. Matdoan, M. Y. Rumeon, Ramli