VARIANSI: Journal of Statistics and Its Application on Teaching and Research
Vol. 4 No. 3 (2022)

Hybrid Hierarchical Clustering dalam Pengelompokan Daerah Rawan Bencana Tanah Longsor di Sulawesi Selatan

Fithriyah Azzahrah (Universitas Negeri Makassar)
Suwardi Annas (Department of Statistics, Universitas Negeri Makassar)
Zulkifli Rais (Department of Statistics, Universitas Negeri Makassar)

Article Info

Publish Date
07 Dec 2022

Abstract

This study aims to describe and classify areas prone to landslides in South Sulawesi. The method used is Hybrid Hierarchical Clustering. The data used is landslide disaster data sourced from the National Disaster Management Agency (BNPB) for 2018-2020 in South Sulawesi. The variables used are the number of landslides, deaths, damaged houses, injured victims, and damaged public facilities. Grouping using the Hybrid Hierarchical Clustering method with mutual clusters using bottom-up and top-down methods. Grouping with bottom-up method produces 2 groups, top-down method produces 2 groups and 1 best mutual cluster. The ratio results in the bottom-up method is 0.84, the top-down method is 1.07 and the mutual cluster is 0.84. The grouping results obtained were 2 groups.

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Journal Info
VARIANSI: Journal of Statistics and Its Application on Teaching and Research
Website

Abbrev

variansi

Publisher

Universitas Negeri Makassar

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics

Description

VARIANSI: Journal of Statistics and Its application on Teaching and Research memuat tulisan hasil penelitian dan kajian pustaka (reviews) dalam bidang ilmu dasar ataupun terapan dan pembelajaran dari bidang Statistika dan Aplikasinya dalam pembelajaran dan riset berupa hasil penelitian dan kajian ...