IMPLEMENTASI ALGORITMA CLUSTERING DENGAN MODIFIKASI METODE ELBOW UNTUK MENDUKUNG STRATEGI PEMERATAAN BANTUAN SOSIAL DI KABUPATEN BOJONEGORO
This research aims to obtain clustering results from the K-Means and K-Medoids methods for grouping communities per sub-district in Bojonegoro Regency based on several types of Social Assistance. The method used is one of the data mining methods, namely the clustering method. As a comparison, the cl...
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Format: | Article |
Language: | English |
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Universitas Bina Bangsa
2023-12-01
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Series: | Jurnal Lebesgue |
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Online Access: | https://lebesgue.lppmbinabangsa.id/index.php/home/article/view/453 |
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author | Hidayatul Fitriyah Elsa Maulida Safitri Nailil Muna Miftakhul Khasanah Dinda Ayu Aprilia Denny Nurdiansyah |
author_facet | Hidayatul Fitriyah Elsa Maulida Safitri Nailil Muna Miftakhul Khasanah Dinda Ayu Aprilia Denny Nurdiansyah |
author_sort | Hidayatul Fitriyah |
collection | DOAJ |
description | This research aims to obtain clustering results from the K-Means and K-Medoids methods for grouping communities per sub-district in Bojonegoro Regency based on several types of Social Assistance. The method used is one of the data mining methods, namely the clustering method. As a comparison, the clustering methods used are the K-Means and K-Medoids methods. The research variable used is annual data on Family Social Assistance from the Bojonegoro Regency Social Service from 2020 to 2021, which contains several types of assistance, namely Regional Contribution Assistance, Regional Direct Assistance, Village Direct Assistance, Social Food Assistance Affected by the COVID-19 Pandemic, and the Family Hope Program in the form of discrete data with a ratio scale. The results obtained by modifying the Elbow method obtained the best clustering method is the K-Means method with 5 optimal clusters. The sub-district clusters in 2020 and 2021 are different because in 2020 there is more focus on COVID-19 pandemic assistance, while in 2021, there is more focus on direct Regional and Village assistance |
first_indexed | 2024-03-08T09:32:54Z |
format | Article |
id | doaj.art-6df9463122384002b1f4eb515c2a919a |
institution | Directory Open Access Journal |
issn | 2721-8929 2721-8937 |
language | English |
last_indexed | 2024-03-08T09:32:54Z |
publishDate | 2023-12-01 |
publisher | Universitas Bina Bangsa |
record_format | Article |
series | Jurnal Lebesgue |
spelling | doaj.art-6df9463122384002b1f4eb515c2a919a2024-01-30T17:45:32ZengUniversitas Bina BangsaJurnal Lebesgue2721-89292721-89372023-12-01431598160710.46306/lb.v4i3.453453IMPLEMENTASI ALGORITMA CLUSTERING DENGAN MODIFIKASI METODE ELBOW UNTUK MENDUKUNG STRATEGI PEMERATAAN BANTUAN SOSIAL DI KABUPATEN BOJONEGOROHidayatul Fitriyah0Elsa Maulida Safitri1Nailil Muna2Miftakhul Khasanah3Dinda Ayu Aprilia4Denny Nurdiansyah5Universitas Nahdlatul Ulama Sunan Giri BojonegoroUniversitas Nahdlatul Ulama Sunan Giri BojonegoroUniversitas Nahdlatul Ulama Sunan Giri BojonegoroUniversitas Nahdlatul Ulama Sunan Giri BojonegoroUniversitas Nahdlatul Ulama Sunan Giri BojonegoroUniversitas Nahdlatul Ulama Sunan Giri BojonegoroThis research aims to obtain clustering results from the K-Means and K-Medoids methods for grouping communities per sub-district in Bojonegoro Regency based on several types of Social Assistance. The method used is one of the data mining methods, namely the clustering method. As a comparison, the clustering methods used are the K-Means and K-Medoids methods. The research variable used is annual data on Family Social Assistance from the Bojonegoro Regency Social Service from 2020 to 2021, which contains several types of assistance, namely Regional Contribution Assistance, Regional Direct Assistance, Village Direct Assistance, Social Food Assistance Affected by the COVID-19 Pandemic, and the Family Hope Program in the form of discrete data with a ratio scale. The results obtained by modifying the Elbow method obtained the best clustering method is the K-Means method with 5 optimal clusters. The sub-district clusters in 2020 and 2021 are different because in 2020 there is more focus on COVID-19 pandemic assistance, while in 2021, there is more focus on direct Regional and Village assistancehttps://lebesgue.lppmbinabangsa.id/index.php/home/article/view/453metode elbowmetode clusteringbantuan sosialelbow methodclustering methodsocial assistance |
spellingShingle | Hidayatul Fitriyah Elsa Maulida Safitri Nailil Muna Miftakhul Khasanah Dinda Ayu Aprilia Denny Nurdiansyah IMPLEMENTASI ALGORITMA CLUSTERING DENGAN MODIFIKASI METODE ELBOW UNTUK MENDUKUNG STRATEGI PEMERATAAN BANTUAN SOSIAL DI KABUPATEN BOJONEGORO Jurnal Lebesgue metode elbow metode clustering bantuan sosial elbow method clustering method social assistance |
title | IMPLEMENTASI ALGORITMA CLUSTERING DENGAN MODIFIKASI METODE ELBOW UNTUK MENDUKUNG STRATEGI PEMERATAAN BANTUAN SOSIAL DI KABUPATEN BOJONEGORO |
title_full | IMPLEMENTASI ALGORITMA CLUSTERING DENGAN MODIFIKASI METODE ELBOW UNTUK MENDUKUNG STRATEGI PEMERATAAN BANTUAN SOSIAL DI KABUPATEN BOJONEGORO |
title_fullStr | IMPLEMENTASI ALGORITMA CLUSTERING DENGAN MODIFIKASI METODE ELBOW UNTUK MENDUKUNG STRATEGI PEMERATAAN BANTUAN SOSIAL DI KABUPATEN BOJONEGORO |
title_full_unstemmed | IMPLEMENTASI ALGORITMA CLUSTERING DENGAN MODIFIKASI METODE ELBOW UNTUK MENDUKUNG STRATEGI PEMERATAAN BANTUAN SOSIAL DI KABUPATEN BOJONEGORO |
title_short | IMPLEMENTASI ALGORITMA CLUSTERING DENGAN MODIFIKASI METODE ELBOW UNTUK MENDUKUNG STRATEGI PEMERATAAN BANTUAN SOSIAL DI KABUPATEN BOJONEGORO |
title_sort | implementasi algoritma clustering dengan modifikasi metode elbow untuk mendukung strategi pemerataan bantuan sosial di kabupaten bojonegoro |
topic | metode elbow metode clustering bantuan sosial elbow method clustering method social assistance |
url | https://lebesgue.lppmbinabangsa.id/index.php/home/article/view/453 |
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