ALGORITMA K-PROTOTYPES DALAM MELAKUKAN KLASTERISASI WILAYAH DI INDONESIA BERDASARKAN INDIKATOR PEMBANGUNAN EKONOMI

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dc.contributor.authorRamadhani, Savira
dc.contributor.supervisorAdnan, Arisman
dc.date.accessioned2023-08-02T02:58:11Z
dc.date.available2023-08-02T02:58:11Z
dc.date.issued2023-05
dc.description.abstractUnequal economic development is one of the causes of economic inequality. It is necessary to formulate appropriate policies as an effort to equalize economic development. This study aims to classify districts/cities based on indicators of economic development using the K-prototypes method in order to assist the government in formulating policies. The study shows that grouping 5 clusters is the optimal number of clusters with a silhouette value of 0.3027283. Clusters 1 to 5 have 192, 11, 210, 80 and 12 members respectively. The results of the mean difference test between clusters showed that only the HDI development variable was not significantly different between the 5 clusters.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/11089
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectEconomic development indicatorsen_US
dc.subjectcluster analysisen_US
dc.subjectK-prototypesen_US
dc.subjectsilhouette indexen_US
dc.titleALGORITMA K-PROTOTYPES DALAM MELAKUKAN KLASTERISASI WILAYAH DI INDONESIA BERDASARKAN INDIKATOR PEMBANGUNAN EKONOMIen_US
dc.typeArticleen_US

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