Prosiding Seminar Nasional Official Statistics
Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024

Perbandingan Agglomerative Nesting dan K-Means untuk Klasterisasi Ketimpangan Gender berdasarkan Dimensi Kesehatan Reproduksi

Raihannabil, Syfriza Davies (Unknown)
Ilyas, Hilmi Malika Atim (Unknown)
Shafira, Hervira Nur (Unknown)
Riani, May Alya (Unknown)
Hastin, Nadya Noor (Unknown)
Siregar, Tiara Khorijah Hamid (Unknown)



Article Info

Publish Date
08 Nov 2024

Abstract

Gender inequality in Indonesia is ranked 4th out of 11 ASEAN countries with key problems such as high maternal mortality rates and teenage births. Indonesia ranks 3rd with the highest maternal mortality rate in Southeast Asia. Besides that, around 61% of provinces still have adolescent birth rates above the national average. This research uses clustering techniques to group provinces based on reproductive health dimensions to provide insight for policymakers. The two clustering methods used are Agglomerative Nesting (AGNES) and K-Means. The analysis found that the K-Means method was more effective in producing three clusters: 15 provinces in the medium category, 10 provinces in the high category, and 9 provinces in the low category. It is hoped that the results of this research can help the government make appropriate policies regarding improvements in the reproductive health dimensions to achieve gender equality in Indonesia, especially in provinces with high categories.

Copyrights © 2024






Journal Info

Abbrev

semnasoffstat

Publisher

Subject

Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

Description

prosiding seminar ini bertujuan untuk menghasilkan berbagai pemikiran solutif, inovatif, dan adaptif terkait isu, strategi, dan metode yang memanfaatkan official ...