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Pemetaan untuk Strategi Dakwah di Kota Semarang Menggunakan Pendekatan Data Mining (Mapping for Da'wah Strategy in Semarang City Using Data Mining Approach)

Authors :
Silvia Riskha Fabriar
Abdul Karim
Alifa Nur Fitri
Fitri Fitri
Farida Nur Rachmawati
Adeni Adeni
Mustofa Hilmi
Source :
Jurnal Dakwah Risalah, Vol 32, Iss 1, Pp 40-55 (2021)
Publication Year :
2021
Publisher :
Fakultas Dakwah dan Komunikasi, 2021.

Abstract

This paper aims to explore the potential of da'wah in the city of Semarang with a data mining approach. The data mining approach is carried out by implementing the fuzzy c-means (FCM) algorithm in order to obtain the optimum number of clusters in the potential clustering of da'wah in the city of Semarang. The data used in this study from the Ministry of Religion of the Republic of Indonesia and the Central Statistics Agency (BPS) of Semarang City. The results of the FCM analysis show that the optimum number of clusters is two clusters, where the sub-district in the second cluster is an area with a high potential for da'wah. This study provides information that in effective da'wah activities, certainty and clarity is needed regarding the targets of da'wah through mapping of da'wah in the form of clustering potential da'wah. This can be a consideration of dakwah strategies for the successful implementation of da'wah studies so that an increase in the target behavior of da'wah can be achieved. The application of FCM to get the optimum cluster of potential da'wah in order to produce da'wah mapping is novelty in the field of Islamic studies, especially the science of da'wah. Normal 0 false false false IN X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; text-align:justify; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman",serif; mso-ansi-language:EN-US; mso-fareast-language:IN;}

Details

Language :
Indonesian
ISSN :
26543877 and 14120348
Volume :
32
Issue :
1
Database :
OpenAIRE
Journal :
Jurnal Dakwah Risalah
Accession number :
edsair.doi.dedup.....6b063c8803695ad20907658df95885ca