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Anne Mudya Yolanda
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Pengelompokkan Kabupaten/Kota di Provinsi Nusa Tenggara Timur Berdasarkan Indikator Indeks Pembangunan Manusia Menggunakan K-Medoids Clustering Agung Satrio Wicaksono; Anne Mudya Yolanda
Jurnal Statistika Terapan (ISSN 2807-6214) Vol 1 No 1 (2021): Jurnal Statistika Terapan
Publisher : Badan Pusat Statistik Provinsi NTT

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Abstract

The Human Development Index (HDI) is an indicator to measure success in improving the quality of human life. The utilization of HDI indicators can be used to classify observations into clusters based on several aspects, such as health, education, and economy. The results of the clusters can be used as a reference for evaluating government policies. This study uses HDI indicator data in the East Nusa Tenggara (NTT) Province, which consists: Life Expectancy, Average Years of Schooling, Expected Years of Schooling, and Per Capita Expenditure. The outliers were detected in each variable. Therefore the k-medoids clustering method was used in this study because of their robustness on outliers. The clustering results show that there are 4 clusters formed, with each cluster describing a unique character. Cluster 1 describes the condition of the districts in general. Cluster 2 describes the condition of the districts that are one step ahead of others, which are expected to transform into cities in the future. Cluster 3 describes the condition of the district that needs more attention from the government in all sectors because all the HDI indicators are on the lowest value comparing to the other clusters. On the other hand, cluster 4 describes urban areas which have more developed than other areas, in terms of health, education, and economy. The clustering results can be used as a suggestion for evaluating government policies that have been implemented, in order to create structured equitable development based on data and regional characteristics as well.
Co-Authors Achmad Isya Alfassa Adia Syaputri Agung Satrio Wicaksono Agung Satrio Wicaksono Agus Kurniawati Althoff Hibban Andriani, Yulia Arisman Adnan Ayu Agustiani Azra Aulia Dwiputri Bustami Bustami Bustami Dewi, Ratna Mustika Dimas Abyan Fatkhin Al-Aswad Ecelly Indriani Putri Eva Eriani Fandi Gusriyanda Febrianti, Lusi Finda, Ingla Goldameir, Noor Ell Gumanti Gustriza Erda Haposan Sirait Haposan Sirait Imtikhanah Anis Mahmudiati Indra, Zul Irfansyah Irfansyah Isti Yuliani Kristiana Yunitaningtyas Lafina, Melanie Maria M. Ridhwan M. SYIFA RAMADHAN Mulya, Ridho Tri Musraini M Noor Ell Goldameir Nurhaliza Nurhannifah Rizky Tampubolon Nurul Imani Nusantri Purba Okta Bella Syuhada Okta Bella Syuhada Putri Sion Cahayana Rahmad Ramadhan Laska Raudatul Yusra Ridho Tri Mulya Riko Febrian Rustam Efendi Rustam Efendi Safitri, Nuraini Sarasmita Apriyenti Savira, Husna Septya, Fanny Siti Farika Sari SITI SUHAILA Sukamto Syaftiani Dwi Astuti Syamsudhuha Syamsudhuha Syamsudhuha T, Masrina Munawarah T, Nurhannifah Rizky Tata, Tata Thahira, Nisha Thearas, Lia Tira Mei Darnis Titi Solfitri Windy Maya Sari Yenita Roza Zahra, Lathifah