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All Journal Jurnal Gaussian Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Journal of Demography, Etnography, and Social Transformation
Achmad Isya Alfassa
Universitas Gadjah Mada
Humanities Education Environmental Science Mathematics Social Sciences Other

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Analisis Cluster terhadap Data Imunisasi Polio di Indonesia Tahun 2016 menggunakan Metode Self Organizing Maps (SOMs) Rahma Yuliati Kashi; S Sulhaerati; Gina Maulina; Yayan Dwi Septian; Achmad Isya Alfassa; Edy Widodo
Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya 2018: Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1313.245 KB)

Abstract

Prevalensi imunisasi pada anak secara global pada tahun 2012 ialah DPT sebesar 83%, Polio sebesar 84%, Campak sebesar 84%, Hepatitis B sebesar 79%, dan BCG sebesar >80%. Walaupun secara nasional target cakupan imunisasi polio telah mencapai target, namun masih terdapat beberapa provinsi yang cakupanya di bawah 80% . Pengelompokan provinsi secara tepat dengan mengacu pada cakupan target imunisasi Polio dapat membantu pemerintah dalam hal pemerataan pemberian imunisasi. Penelitian ini bertujuan untuk mengelompokkan provinsi – provini di Indonesia berdasarkan karakteristik data imunisasi polio.Untuk menjawab persoalan tersebut maka digunakan analisis clustering untuk mengelompokan provinsi berdasarkan cakupan target imunisasi yang sama menggunakan metode Self Organizing Map (SOM). Dari hasil analisis clustering menggunakan metode SOM diperoleh hasil pengelompokkan provinsi ke dalam 5 kelompok.
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.
Statistika Kependudukan Untuk Rencana Kebijakan Kependudukan Daerah Achmad Isya Alfassa
Journal of Demography, Ethnography and Social Transformation Vol. 2 No. 2 (2022): Journal of Demography, Etnography and Social Transformation
Publisher : Pusat Kajian Demografi, Etnografi dan Transformasi Sosial

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/demos.v2i2.1316

Abstract

Population statistics is a science that studies two branches of science, namely statistics and population science. These two branches of science are integrated in population statistics to help solve population problems through statistical analysis and are used as recommendations in making regional population policy decisions. This study uses secondary data from the publications of Indragiri Hilir Regency in numbers and aims to provide an understanding of population statistics in terms of terminology and philosophy of science and can be used in the preparation of regional population policy plans. The results of this study explain that the terminology of population statistics consists of fertility, mortality, and migration, while the philosophy of population statistics consists of axiology, ontology, and epistemology. In the preparation of the regional population policy plan with the demographic concept, there are 5 groups of population policy plans, including the Fertility Group, School Productive Age Group, Work Productive Age Group, Retirement Age Group, and Elderly Age Group. Key words: Statistics Population, Indragiri Hilir Regency, Statistics, Population, Demography, Population Policy.
Co-Authors Anne Mudya Yolanda Edy Widodo Gina Maulina Nurul Imani Rahma Yuliati Kashi S Sulhaerati Yayan Dwi Septian