Interactive Geographic Visualization and Unsupervised Learning for Optimal Assignment of Preachers to Appropriate Congregations

Interactive Geographic Visualization and Unsupervised Learning for Optimal Assignment of Preachers to Appropriate Congregations

Riau Province has a population of 6,642,874 and a diverse geography, which poses significant challenges in optimizing Islamic preaching activities. Traditional assignment methods often lead to inefficiencies due to misalignment between the preacher’s expertise and congregational needs, as well as l...

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Bibliographic Details
Main Authors: Rahmad Kurniawan, Ibnu Daqiqil ID, Abdul Somad Batubara, Fitra Lestari, Arisman Adnan, Fatayat Fatayat, Ilyas Husti
Format: Article
Language:English
Published: Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) 2024-12-01
Series:Journal of Applied Engineering and Technological Science
Subjects:
Preacher Assignment
Optimization
K-Means Clustering
DBSCAN
MUI Riau
Online Access:https://journal.yrpipku.com/index.php/jaets/article/view/5760
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