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Journal : Jurnal Ilmu Komputer

Analisis Perbandingan Pengelompokan Indeks Pembangunan Manusia Indonesia Tahun 2019 dengan Metode Partitioning dan Hierarchical Clustering Arina Mana Sikana; Arie Wahyu Wijayanto
Jurnal Ilmu Komputer Vol 14 No 2 (2021): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2021.v14.i02.p01

Abstract

Human Development Index (HDI) is an important indicator in measuring the level of success of the development of the quality of human life. Human Development Index clustering aims to divide the regions into groups based on Human Development Index for the region in 2019. Human Development Index clustering compares Partitioning Clustering and Hierarchical Clustering method to divide Human Development Index Indonesia in 2019. Partitioning Clustering method uses K-Means Clustering algorithm and Hierarchical Clustering method uses Agglomerative Ward Clustering algorithm. The results obtained are the best method for grouping provinces in Indonesia based on Human Development Index in 2019 is K-Means Clustering method with the optimum number of clusters is 6. This method gives Silhoutte Score o0,6291, Calinski-Harabasz Index 241,8875, dan Davies-Bouldin Index 0,3038. While the best method for grouping regencies in Indonesia based on Human Development Index in 2019 is K-Means Clustering method with the optimum number of clusters is 6. This method gives Silhoutte Score 0,5511, Calinski-Harabasz Index 1525,4007, dan Davies-Bouldin Index 0,5234.
Perbandingan Kinerja Clustering Non-Hierarchical pada Indeks Daya Saing Daerah di Provinsi Jawa Tengah Tahun 2022 Ariyani, Marwah Erni; Wijayanto, Arie Wahyu
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Regional Competitiveness Index (RCI) is a benchmark to measure the ability of a region to compete in a market published by the National Research & Innovation Agency (BRIN). RCI includes several pillars or indicators including infrastructure, quality human resources, innovation, and government policies that support economic growth. This study aims to compare the performance of several non-hierarchical clustering techniques. The data used are the RC) from 35 Regencies/Municipalities in Central Java,2022 which was published by the National Research and Innovation Agency. The clustering methods used are Fuzzy c-means, K-means, and K-medoid. Each method gets a different optimal number of clusters. After evaluating the best model using the Silhouette Coefficient, Dunn Index, Davies Bouldin Index, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC), the best model was obtained using k-medoid with three clusters. Based on the clusters formed, the first cluster has three regencies/municipalities, the second cluster has regencies/cities, and the third cluster has 25 regencies/ municipalities.
Co-Authors A.A. Ngurah Gede, Wasudewa Achmad Muchlis Abdi Putra Akhmad Fatikhurrizqi Alfina Nurpiana Alvia Rossa Damayanti Alya Azzahra Andriansyah Muqiit Wardoyo Saputra Annisa Firnanda Arbi Setiyawan Arif Handoyo Marsuhandi Arina Mana Sikana Arini, Rechtiana Putri Arista Ariyani, Marwah Erni Atmaja, Anugerah Surya Atut Pindarwati Ayu Aina Nurkhaliza Az-Zahra, Afifah Bagus Almahenzar Bahar, Vicka Kharisma Bony Parulian Josaphat Chisan, Innas Khoirun Daulay, Nur Ainun Desi Kristiyani Dewi, Ni Kadek Ayu Purnami Sari Diarty, Milie Dwi Karunia Syaputri Dwi Wahyu Triscowati Emir Luthfi Fauzan Faldy Anggita Fauzan, Fardhi Dzakwan Febrian, M. Yandre Feriyanto, Muhamad Ghina Rofifa Suraya He Youshi Hidayat, Anang Kurnia Hutahaean, Yohana Madame Ika Yuni Wulansari Ikhsanudin, Muhammad Rafi Iman, Qonita Intan Kemala Iskanda, Doddy Aditya Iskanda, Watekhi Izzuddin, Kautsar Hilmi Karmawan, I Putu Agus Kurniawan, Bayu Dwi Kusuma, Arya Candra Luthfi, Emir Maghfiroh, Meilinda F N Maghfiroh, Meilinda F. N. Margareth Dwiyanti Simatupang Maria Angelika H Siallagan Maria Shawna Cinnamon Claire Marsisno, Waris Marsisno, Waris Maulana, Farhan Maulidya, Luthfi Muchlisoh, Siti Muhammad Rezza Ferdiansyah Munifah Zuhra Almasah Nabila Bianca Putri Nasiya Alifah Utami Natasya Afira Natasya Afira Ningrum, Icha Wahyu Kusuma Ningsih, I Kadek Mira Merta Nissa Shahadah Qur'ani Nora Dzulvawan Nurafiza Thamrin Nursiyono, Joko Ade Parwanto, Novia Budi Pasaribu, Ernawati Perani Rosyani Permatasari, Noverlina Putri Pikata Aselnino Pindarwati, Atut Pramana, Setia Prasetyo, Rindang Bangun Pratama, Ahmad R. Prayoga, Suhendra Widi Putri, Salwa Rizqina Putri, Salwa Rizqina Rahmawati, Delvina Nur Raisa Rizky Amelia Rahman Raisa Rizky Amelia Rahman Regita Iswari Puri, Ida Ayu Wayan Renata De La Rosa Manik Ressa Isnaini Arumnisaa Restu Ilahi, Muhammad Ridho, Farid Rifqi Ramadhan Rifqi Ramadhan Robert Kurniawan, Robert Rudianto, Regita Dewanti Sakka, Asriadi Salsabila, Michellia Cempaka Salwa Rizqina Putri Siregar, Tifani Husna Sofa, Wahyuni Andriana Suadaa, Lya Hulliyyatus Sugiarto, Sugiarto Suraya, Ghina Rofifa Swardanasuta, I Bagus Putu Wahidya Nurkarim Wahyuni, Krismanti Tri Watekhi watin, Rahma Wilantika, Nori Windy Rahmatul Azizah Wulansari, Ika Yuni Yeza, Ardhan Yulia Aryani Yuniarto, Budi Zalukhu, Bill Van Ricardo Zanial Fahmi Firdaus