CD Skripsi

Optimalisasi Penugasan Ulama Di Majelis Ulama Indonesia Kabupaten Kampar Menggunakan Algoritma Agglomerative Hierarchical Clustering Dan Principal Component Analysis

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Inefficiency in assigning preachers for Islamic preaching activities often occurs due to the placement of preachers at locations that are too far apart, leading to delays and logistical challenges. In Kampar Regency, diverse geographical conditions exacerbate this issue, resulting in suboptimal preacher placements. This study aims to optimize preacher assignments by considering geographical distance and mosque profiles. The dataset used consists of 102 mosques and 148 preachers obtained from the Indonesian Council of Ulama in Kampar Regency. The Agglomerative Hierarchical Clustering (AHC) algorithm was selected for its ability to cluster data based on various characteristics. In addition, the Principal Component Analysis (PCA) algorithm was applied to reduce data dimensions, thereby improving clustering quality. The optimization of the AHC-PCA algorithm produced three optimal clusters with a Silhouette Score of 0.625, an optimal elbow validation value of 390.23, and the lowest Davies-Bouldin Index (DBI) score of
0.469. Visualization through Business Intelligence facilitated the mapping of preacher and mosque clusters, providing a detailed view of spatial distribution. This study successfully enhanced the efficiency of preacher assignments by reducing travel time and aligning preacher placements with geographical proximity and mosque needs, thereby maximizing the effectiveness of Islamic preaching in the Kampar Regency.

Keywords: Preacher Assignment, Agglomerative Hierarchical Clustering, Ward’s Method, Principal Component Analysis, Business Intelligence

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2103110494

Penerbit

Pekanbaru : Universitas Riau FMIPA Sistem Informasi., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2103110494

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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