Riza, Lulus Faticatu (2021) Pemetaan Capaian SDGs Desa Bidang Kesehatan Dan Pendidikan Di Kabupaten Sidoarjo Dengan Metode Ensemble ROCK. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Upaya pemerintah Kabupaten Sidoarjo untuk mendukung pencapaian target SDGs nasional pada bidang kesehatan dan pendidikan diantaranya meningkatkan kesejahteraan penduduk di segala usia, menyediakan sumber daya kesehatan yang kompeten, dan menjamin semua anak memiliki akses terhadap perkembangan dan pengasuhan anak usia dini. Sebagai upaya untuk percepatan pencapaian SDGs hingga ke tingkat desa, maka dilakukan pengelompokkan desa di Kabupaten Sidoarjo berdasarkan indikator SDGs desa bidang kesehatan dan pendidikan dengan metode ensemble ROCK guna mengetahui karakteristik ketercapaian SDGs Desa. Penggunaan metode ensemble ROCK didasarkan pada data penelitian yang terdiri dari data numerik dan kategorik. Sumber data yang digunakan adalah data indeks desa membangun yang telah disesuaikan dengan variabel SDGs Desa dengan jumlah pengamatan 322 desa. Hasil pengelompokkan desa berdasarkan indikator desa sehat dan sejahtera didapatkan 2 cluster optimum yang diidentifikasi sebagai kelompok desa dengan kesejahteraan kesehatan yang tinggi dan kelompok desa dengan kesejateraan yang rendah, berdasarkan indikator desa layak sanitasi didapatkan 3 cluster optimum dimana mayoritas cluster 1 unggul pada variabel akses buang air besar jamban sendiri, berdasarkan indikator desa aman dan nyaman didapatkan karakteristik cluster 1 lebih unggul dibanding cluster 2 yang diidentifikasi sebagai kelompok desa dengan keamanan dan kenyamanan yang tinggi. Hasil pengelompokkan berdasarkan bidang kesehatan didapatkan 3 cluster optimum dengan karakteristik yang menjadi pembeda adalah keberadaan sistem peringatan dini bencana, dan pengelompokkan berdasarkan bidang pendidikan didapatkan 3 cluster optimum dengan karakteristik cluster 1 paling unggul dan diidentifikasi sebagai kelompok desa dengan kepedulian pendidikan yang tinggi.
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The efforts of the Sidoarjo Regency government to support the achievement of the national SDGs targets in the health and education sectors include improving the welfare of the population at all ages, providing competent health resources, and ensuring all children have access to early childhood development and care. As an effort to accelerate the achievement of SDGs down to the village level, villages in Sidoarjo Regency were grouped based on Village SDGs indicators in the health and education sectors with the ensemble ROCK method in order to determine the characteristics of the achievement of the Village SDGs. The use of the ensemble ROCK method is based on research data consisting of numerical and categorical data. The data source used is the index of developing villages which has been adjusted to the Village SDGs variable with a total of 322 villages observations. The results of grouping villages based on indicators of healthy and prosperous villages obtained 2 optimum clusters which were identified as village groups with high health welfare and village groups with low welfare, based on the indicators of proper sanitation village there are 3 optimum clusters where the majority of cluster 1 excels in the variable access to defecate in their own latrine, based on the indicators of the safe and comfortable village, it was found that cluster 1 characteristics were superior to cluster 2 which was identified as a village group with high security and comfort. The results of grouping based on the health sector obtained 3 optimum clusters with the distinguishing characteristic being the existence of a disaster early warning system, and grouping based on education sector obtained 3 optimum clusters with the characteristics of cluster 1 being the most superior and identified as a village group with high educational awareness.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | desa, ensemble ROCK, SDGs desa village, ensemble ROCK, village SDGs |
| Subjects: | H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics Q Science > QA Mathematics > QA278.55 Cluster analysis |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Lulus Faticatu Riza |
| Date Deposited: | 02 Sep 2021 01:50 |
| Last Modified: | 23 Jul 2024 08:22 |
| URI: | http://repository.its.ac.id/id/eprint/91457 |
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