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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) Abdul Karim; Adeni Adeni; Fitri Fitri; Alifa Nur Fitri; Mustofa Hilmi; Silvia Riskha Fabriar; Farida Rachmawati
Jurnal Dakwah Risalah Vol 32, No 1 (2021): June 2021
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jdr.v32i1.12549

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.

Combining old and new media for Islamic da’wa activity: The Case of Indonesian Nursi movement Adeni Adeni; Osman Koroglu; Silviatul Hasanah
Jurnal Ilmu Dakwah Vol 42, No 1 (2022)
Publisher : Faculty of Dakwah and Communication, Walisongo State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jid.v42.1.11726

Purpose - The purpose of this study was to analyze the combination of old and new media use in Nursi movement da’wah in Indonesia.Method– This study used a qualitative method by an approach of combining old and new media in da’wah. The data were collected by interviewing Indonesian figures, observing the Nursi’s da’wah activities, and reading the Risale-I Nur.Result - The results showed that the Nursi movement emphasized a combination of old and new media in doing da’wah. Old media used the Risale-I Nur as a writing media and the radio as an electronic media. The old one was used for disseminating da’wah messages related to theological (aqidah) and Islam law content suitable to the controlling character of old media. New media such as blog-website, WhatsApp, YouTube, Facebook, and Instagram were used for conveying da’wah in the form of good words, spiritual advice, and avoiding the issues of khilafiyah (Islamic thoughts differences). It is relevant to the democratic character of new media.Implication –This study suggested that the use of old and new media in da’wah should be combined. It is to contribute to disseminating a comprehensive da’wah. Originality – The study was the first work in the da’wah field that emphasizes the urgency of combining old and new media use in da’wah activities.***Tujuan - Tujuan dari penelitian ini adalah untuk menganalisis kombinasi penggunaan media lama dan baru dalam dakwah gerakan Nursi di Indonesia.Metode– Penelitian ini menggunakan metode kualitatif dengan pendekatan menggabungkan media lama dan media baru dalam dakwah. Pengumpulan data dilakukan melalui wawancara dengan tokoh-tokoh Nursi Indonesia, mengamati kegiatan dakwah Nursi, dan membaca Risale-I Nur.Hasil - Hasil penelitian menunjukkan bahwa gerakan Nursi menekankan kombinasi media lama dan media baru dalam berdakwah. Media lama yang digunakan adalah Risale-I Nur sendiri sebagai media tulis dan radio sebagai media elektronik. Media lama digunakan untuk menyebarluaskan pesan-pesan dakwah terkait muatan teologis (aqidah) dan syariat Islam yang sesuai dengan karakter pengendali media lama. Media baru seperti blog-website, WhatsApp, YouTube, Facebook, dan Instagram digunakan untuk menyampaikan dakwah dalam bentuk kata-kata yang baik, nasihat spiritual, dan menghindari isu-isu khilafiyah (perbedaan pemikiran Islam). Hal ini relevan dengan karakter demokratis media baru.Implikasi – Penelitian ini menyarankan agar penggunaan media lama dan baru dalam dakwah harus dikombinasikan. Hal ini untuk berkontribusi dalam menyebarluaskan dakwah yang komprehensif.Orisinalitas – Kajian ini merupakan karya pertama dalam bidang dakwah yang menekankan urgensi menggabungkan penggunaan media lama dan baru dalam kegiatan dakwah.

MITIGATING POVERTY: THE CLUSTERING OF POTENTIAL ZAKAT IN INDONESIA Abdul Karim; Ayuf Mufakhidin; Hamdan Hadi Kusuma; Adeni Adeni; Fitri Fitri
Analisa: Journal of Social Science and Religion Vol 7, No 1 (2022): Analisa Journal of Social Science and Religion
Publisher : Balai Penelitian dan Pengembangan Agama Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18784/analisa.v7i1.1641

The objective of this study was to examine the fuzzy c-means clustering (FCM) method to establish the optimum cluster accuracy of zakat potential in Indonesia. A spatial mapping approach is also suggested and can be considered as the first step in knowing the distribution of zakat potential in Indonesia. Furthermore, strategies that can be implemented are formulated to increase zakat collection in Indonesia. Potential zakat data from the National Amil Zakat Agency (Baznas) in 2020 consisting of bank deposits, salaries, agricultural products, plantation products, and staple foods. Each province in Indonesia is used as the proposed variable. In this paper, firstly collecting data on indicators of potential zakat. Second, the FCM clustering algorithm. Third, the results of the FCM grouping are visualized in the form of a mapping. This novel mapping study with FCM was applied in order to analyze clustering accuracy. The FCM results confirm 2 optimum clusters for zakat potential in Indonesia where cluster 2 has more members than cluster 1. Besides, the second cluster only has one variable that has a high value, namely agricultural products, while the rest is in the first cluster. This indicates that the first cluster has a higher potential for zakat. The application of fuzzy c-means (FCM) to obtain the optimum cluster on zakat potential to produce a mapping of zakat potential is a novelty in the field of Islamic economic studies. Finally, the results of the analysis with this approach provide optimum results to strengthen the zakat collection strategy in Indonesia.

MITIGATING POVERTY: THE CLUSTERING OF POTENTIAL ZAKAT IN INDONESIA Abdul Karim; Ayuf Mufakhidin; Hamdan Hadi Kusuma; Adeni Adeni; Fitri Fitri
Analisa: Journal of Social Science and Religion Vol 7, No 1 (2022): Analisa Journal of Social Science and Religion
Publisher : Balai Penelitian dan Pengembangan Agama Semarang

The objective of this study was to examine the fuzzy c-means clustering (FCM) method to establish the optimum cluster accuracy of zakat potential in Indonesia. A spatial mapping approach is also suggested and can be considered as the first step in knowing the distribution of zakat potential in Indonesia. Furthermore, strategies that can be implemented are formulated to increase zakat collection in Indonesia. Potential zakat data from the National Amil Zakat Agency (Baznas) in 2020 consisting of bank deposits, salaries, agricultural products, plantation products, and staple foods. Each province in Indonesia is used as the proposed variable. In this paper, firstly collecting data on indicators of potential zakat. Second, the FCM clustering algorithm. Third, the results of the FCM grouping are visualized in the form of a mapping. This novel mapping study with FCM was applied in order to analyze clustering accuracy. The FCM results confirm 2 optimum clusters for zakat potential in Indonesia where cluster 2 has more members than cluster 1. Besides, the second cluster only has one variable that has a high value, namely agricultural products, while the rest is in the first cluster. This indicates that the first cluster has a higher potential for zakat. The application of fuzzy c-means (FCM) to obtain the optimum cluster on zakat potential to produce a mapping of zakat potential is a novelty in the field of Islamic economic studies. Finally, the results of the analysis with this approach provide optimum results to strengthen the zakat collection strategy in Indonesia.

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