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dc.contributor.advisorTarigan, Enita Dewi
dc.contributor.authorSimbolon, Priskilla Sahaduta
dc.date.accessioned2025-07-24T04:09:01Z
dc.date.available2025-07-24T04:09:01Z
dc.date.issued2025
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/106914
dc.description.abstractPoverty is a serious problem faced by many developing countries and is still a major challenge in remote areas of Indonesia, especially in Papua Province. The high poverty rate in Papua Province makes this area the poorest province with the highest percentage of poor people in Indonesia in 2023. This study aims to classify Regencies/Cities in Papua Province based on the socio-economic conditions of the community using the K-Means Clustering. The data was obtained from the official source of the Central Statistics Agency of Papua Province using four main indicators, namely the percentage of the poor population, total population, the Human Development Index (IPM), and the Life Expectancy Rate (AHH). The analysis process was carried out iteratively until stability was achieved in the third iteration. The final results showed 3 clusters: Cluster 1 consists of 13 districts/cities with a moderate poverty level, cluster 2 consists of 7 districts/cities with a high poverty level, and cluster 3 consists of 9 districts/cities with a low poverty level. The high poverty levels in cluster 2 include: Jayawijaya Regency, Paniai Regency, Puncak Jaya Regency, Yahukimo Regency, Tolikara Regency, Lanny Jaya Regency, and Puncak Regency.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectclusteringen_US
dc.subjectk-meansen_US
dc.subjectpovertyen_US
dc.titlePenerapan Metode K-Means Clustering Dalam Pengelompokan Jumlah Penduduk Miskin Per Kabupaten/Kota di Provinsi Papua Tahun 2023en_US
dc.title.alternativeThe Application of the K-Means Clustering Method in Grouping the Number of Poor People per Regency/City in Papua Province in 2023en_US
dc.typeThesisen_US
dc.identifier.nim2222407055
dc.identifier.nidn0105028503
dc.identifier.kodeprodiKODEPRODI49401#Statistika
dc.description.pages52 pagesen_US
dc.description.typeKertas Karya Diplomaen_US
dc.subject.sdgsSDGs 1. No Povertyen_US


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