Pemetaan untuk Strategi Dakwah di Kota Semarang Menggunakan Pendekatan Data Mining (Mapping for Da'wah Strategy in Semarang City Using Data Mining Approach)
Bibliographic Data
| ID | 21708473 |
|---|---|
| Authors | Abdul Karim (0009-0005-8477-6467, Walisongo State Islamic University), Adeni (0000-0002-8118-319X), Adeni Adeni (Walisongo State Islamic University), Fitri Fitri (0000-0002-7186-4581, Walisongo State Islamic University), Alifa Nur Fitri (Walisongo State Islamic University), Mustofa Hilmi (0000-0002-9879-7024, Walisongo State Islamic University), Silvia Riskha Fabriar (Walisongo State Islamic University), Farida Rachmawati (0000-0002-8122-3331, Walisongo State Islamic University) |
| Year | 2021 |
| Volume | 32 |
| Issue | 1 |
| Pages | 40 |
| Publication date | 2021-06-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Jurnal Dakwah Risalah (JOURNAL) |
| Journal identifiers | ISSN: 1412-0348 • E-ISSN: 2654-3877 |
| Publisher | Universitas Islam Negeri Sultan Syarif Kasim Riau (PUBLISHER • ID) |
| DOI | 10.24014/jdr.v32i1.12549 |
| OpenAlex | W3176280967 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
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
Business · Christian ministry · CLARITY · Cluster analysis · Data mining · Political science · Computer Science · COVID-19 Prevention and Impact · Data Mining and Machine Learning Applications · Information Retrieval and Data Mining · Law · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |