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All Journal Jurnal Gaussian jurnal Teknik Industri - Unisi Jurnal Perangkat Lunak SELODANG MAYANG Jurnal Karya Abdi Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya TRIMAS: Jurnal Inovasi dan Pengabdian Kepada Masyarakat Journal of Demography, Etnography, and Social Transformation Journal of Islamic Thought and Philosophy Teknofile, Jurnal Sistem Informasi Abdimas, Jurnal Pengabdian Masyarakat Jurnal Pelita Pengabdian Masyarakat
Achmad Isya Alfassa
Universitas Gadjah Mada
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Journal : Jurnal Gaussian

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ANALISIS CLUSTER TERHADAP INDIKATOR DATA SOSIAL DI PROVINSI NUSA TENGGARA TIMUR MENGGUNAKAN METODE SELF ORGANIZING MAP (SOM) Nurul Imani; Achmad Isya Alfassa; Anne Mudya Yolanda
Jurnal Gaussian Vol 11, No 3 (2022): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.11.3.458-467

Abstract

The Human Development Index (HDI) is used to assess the quality of life in a given area. In general, the HDI of Nusa Tenggara Timur (NTT) Province increased by 0.88 percent per year from 2011 to 2020 and fell by 0.06 percent in 2019-2020. The characteristics of the current situation of HDI in all districts/cities in NTT were defined using 9 variables in this study. The goal of this study is to combine clustering analysis with a Self-Organizing Map (SOM). Based on the analysis, it was found that NTT has four clusters based on HDI, with clusters 1, 2, 3, and 4 having 16, 3, 2, and 1 member(s) respectively. The cluster findings are meant to be utilized as a guide by the government when developing public policy or making decisions, given the seriousness of the Covid-19 pandemic. These findings could be used to address social issues in NTT, as well as be supported by beneficial policies.
Co-Authors A. Soeparta Abdul Muni Abdullah Adimas Saputra, Reka Adriyan akbar, M Akbar Riwanto Alfa, Akbar Anandri, Uya Asy Syuura Anne Mudya Yolanda Ariadi, Ahmad Arief Rachman Aryati, Seri Ayla Zhafira AYU LESTARI Azzahra, Siti Fathiyah Bayu Fajar Susanto Bayu Rianto dede, Muhammad dede fitriawan Dwi Yuli Prasetyo Edy Widodo Endy Sudeska Endy Sudeska Ernisa Ervina Kartika Sari Fajarwaty Kusumawardhani Fitri Yunita Fitri Yunita Gita Novi Yanti Halawa, Sri Pujiani Halimatusa'diah Ihsanuddin Ihsanuddin Ilyas Irpan Jibril, Muhammad Juwardi Wafdan Kashi, Rahma Yuliati Kawet mujiono Khairul Khatimah, Khairul Khatimah Kurniawan, Muhammad regi nidzra kurniawan M Ari Ardana M Saleh M. Fernandes Putra Arthesa Maulana Putra, M. Naofal Maulina, Gina MELSA Mhd. Nabil Arkan Muannif Ridwan Muhammad Amin Muhammad Asril Fadli Muhammad Bintang Juliawan, Muhammad Bintang Juliawan Muhammad Regi Nidzra Kurniawan Muhammad Risky Muhammad Suratman, Muhammad Suratman Muhammd Junaidi Muni, Abdul Nazwa Cahya Kamila Niswah, Muhlishatun Novisca Indriani Nur Ilham Ade Nuraini Nurnita, Nurnita Nurul Hidayah Nurul Imani Rafito, M. Rahma Yulia Sifa Regina Zulaikha Tizar Ridho, Ridho Rizki Rosliana Rosmiar, Rosmiar sahroni Samsudin Septian, Yayan Dwi Sesi April Yeni Sri Hidayanti Sudeska , Endy Sudeska, Endy Sulhaerati, S Supriani, Raja Syafrizal Taher Syafrizal Thaher Syafrizal Thaher Syaputra, Didi Syaputra, Mei Dian Thaher, Syafrizal tri wahyuni, tri wahyuni YESICA ELMA SUDIARTI Yesti Andini, Yesti Andini Zulrahmadi