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All Journal JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE JOIV : International Journal on Informatics Visualization Jurnal Ilmiah FIFO Jurnal Kreativitas PKM Jambura Journal of Mathematics Hydrogen: Jurnal Kependidikan Kimia Buletin Sistem Informasi dan Teknologi Islam Jurnal Didactical Mathematics Journal of Educational Sciences Arfak Chem: Chemistry Education Journal Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi
Putri, Rizka Amalia
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Religion Humanities Chemistry Computer Science & IT Economics, Econometrics & Finance Education Health Professions Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Comparative Analysis of Hierarchical Cluster Methods in Inflationary Cities in Indonesia Based on Sectoral Inflation Patterns Khoirunissa, Husna Afanyn; Safitriani, Nur Rezky; Widyaningrum, Erlyne Nadhilah; Putri, Rizka Amalia; Fathan, Morina A.; Nisa, Nabilla Rida Tri
Jambura Journal of Mathematics Vol 8, No 1: February 2026
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v8i1.35105

Abstract

This study aims to assess the performance of single linkage, complete linkage, and average linkage hierarchical clustering algorithms in grouping cities used as inflation benchmarks in Indonesia into clusters based on sectoral inflation patterns. The data utilized are 150 regencies/cities divided into 11 sectors that drive inflation, identified by BPS Indonesia. Prior to clustering, a distance analysis using Euclidean distances was conducted to measure similarity between regions. Evaluation of the optimal number of clusters was conducted by applying the stability measure approach (APN, AD, ADM, and FOM), which showed that creating five clusters produced the most stable results. The results of the analysis revealed that the single linkage approach had the lowest within-cluster to between-cluster standard deviation ratio compared to the other two approaches, which revealed a greater level of homogeneity between the clusters. From an economic perspective, this clustering pattern revealed impressive differences in sectoral inflation pressures between provinces, even between cities within a province. Consequently, the single linkage method is proposed as the optimal method for identifying spatial variations in sectoral inflation in Indonesia.
Co-Authors Aisyah Aisyah Anggraeni, Egi Syahrah Anisah Arifian, Hanggara Asep Taufik Muharram Aulia, Isma Azkia, Naura Erlyne Nadhilah Widyaningrum Faradilla Safitri, Faradilla Farah, Harra Ismi Fathan, Morina A. Hafiz, Adhelia Yamilla Hamidah, Nurlaela hanifah hanifah Herlino Nanang Husna Afanyn Khoirunissa Imamatul Faizah Islami, Agustina Amalia Khoirunnisa, Husna Afanyn Mubina, M. Fathan Munthaha, Firman Ni Nyoman Sawitri Nisa, Nabilla Rida Tri Noventi, Iis Nurbojatmiko Nurbojatmiko, Nurbojatmiko Nurlaili Nurlaili Nurramadhani, Aisyah Zahra Rahayu, Rosika Rahmadani, Agung Raudhatun Nuzul ZA, Raudhatun Rusliansyah Rusliansyah Safitriani, Nur Rezky Shofianty, Putri Aprillia Siti Ummi Masruroh Sri Lestari Syafei, Alfin Syahid, Muhammad Fikri Tiara Maharani, Tiara Tristania, Auriel Wafiq Victor Amrizal Wahyuni, Alfitri Wirhanuddin, Wirhanuddin Yanis Kartini