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...

Full description

Bibliographic Details
Main Authors: Hidayatul Fitriyah, Elsa Maulida Safitri, Nailil Muna, Miftakhul Khasanah, Dinda Ayu Aprilia, Denny Nurdiansyah
Format: Article
Language:English
Published: Universitas Bina Bangsa 2023-12-01
Series:Jurnal Lebesgue
Subjects:
Online Access:https://lebesgue.lppmbinabangsa.id/index.php/home/article/view/453
_version_ 1827368534628368384
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
work_keys_str_mv AT hidayatulfitriyah implementasialgoritmaclusteringdenganmodifikasimetodeelbowuntukmendukungstrategipemerataanbantuansosialdikabupatenbojonegoro
AT elsamaulidasafitri implementasialgoritmaclusteringdenganmodifikasimetodeelbowuntukmendukungstrategipemerataanbantuansosialdikabupatenbojonegoro
AT naililmuna implementasialgoritmaclusteringdenganmodifikasimetodeelbowuntukmendukungstrategipemerataanbantuansosialdikabupatenbojonegoro
AT miftakhulkhasanah implementasialgoritmaclusteringdenganmodifikasimetodeelbowuntukmendukungstrategipemerataanbantuansosialdikabupatenbojonegoro
AT dindaayuaprilia implementasialgoritmaclusteringdenganmodifikasimetodeelbowuntukmendukungstrategipemerataanbantuansosialdikabupatenbojonegoro
AT dennynurdiansyah implementasialgoritmaclusteringdenganmodifikasimetodeelbowuntukmendukungstrategipemerataanbantuansosialdikabupatenbojonegoro