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Growing Science » Decision Science Letters » Investigating the spatial basis clustering of smart tourism potential using fuzzy c-means

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Decision Science Letters
ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 13 Issue 4 pp. 1027-1042, 2024

Investigating the spatial basis clustering of smart tourism potential using fuzzy c-means Pages 1027-1042 PDF Download PDF

Authors: Eneng Tita Tosida, Mulyati Mulyati, Roni Jayawinangun, Anisa Putri Pratiwi, Aceng Sambas, Jumadil Saputra

📋 Author Affiliations:
E.T. Tosida ORCID 1, Mulyati Mulyati1, R. Jayawinangun ORCID 2, A.P. Pratiwi ORCID 1, A. Sambas ORCID 3, J. Saputra ORCID 4
1 Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Pakuan, Bogor, 16144, Indonesia
2 Department of Communication Science, Faculty of Social Sciences and Cultural Sciences, Universitas Pakuan, Bogor, 16144, Indonesia
3 Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Campus Besut, Terengganu, 22200, Malaysia, Department of Mechanical Engineering, Faculty of Engineering, Universitas Muhammadiyah Tasikmalaya, Tamansari Gobras, Tasikmalaya, 46196, Indonesia, Malaysia
4 Department of Economics, Faculty of Business, Economics and Social Development, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, 21030, Malaysia
doi 10.5267/j.dsl.2024.6.001
1 Source: Scopus
Crossref 1 Source: CrossRef

🔑 Keywords: Clustering, Fuzzy C-Means, Local Wisdom, Smart tourism, Smart Village

Abstract: The expansion of tourism locations that are both creative and of high quality is a significant contributor to the expansion of the economy. The stages of tourism development that are influenced by the progression of information technology are represented by the term "smart tourism" in the context of the ecosystem of smart villages. Integrating micro-enterprises with tourist practices is one of the ways that may be utilised to speed up the development of villages. By implementing the concept of smart tourism, tourism integrated with information and communication technology (ICT) can potentially improve both the economics and the services provided by the tourism industry. This research aims to analyse the clustering of smart tourism potential possibilities within the Kemang sub-district. These areas' clustering depends on some variables, including infrastructure (access for tourists), innovation, technology, local wisdom, distinctiveness, and economic conditions. The Fuzzy C-Means (FCM) clustering approach is utilised. A Geographic Information System (GIS) is utilised to facilitate the process of determining which villages are included in each cluster. This is done to describe potential areas better. The value of the cluster evaluation using the Davies Boulding Index (DBI) obtained is 0.3819, and the number of clusters with the best performance is 3. There is a very potential cluster in Cluster 3, comprising two villages (Kemang and Atangsanjaya). A potential cluster was also detected in Cluster 2, comprising three villages (Tegal, Pondokudik, and Parakanjaya). Furthermore, a fairly potential cluster was detected in Cluster 1, consisting of three villages (Jampang, Pabuaran, and Bojong). Specifically, in the Kemang sub-district, it is anticipated that the findings of this study will provide an overview of possible sites for implementing environmentally conscious tourism.

How to cite this paper
APA: Tosida, E., Mulyati, M., Jayawinangun, R., Pratiwi, A., Sambas, A & Saputra, J. (2024). Investigating the spatial basis clustering of smart tourism potential using fuzzy c-means. Decision Science Letters, 13(4), 1027-1042.
Chicago/Turabian: Tosida, E., Mulyati, M., Jayawinangun, R., Pratiwi, A., Sambas, A & Saputra, J. 2024. "Investigating the spatial basis clustering of smart tourism potential using fuzzy c-means." Decision Science Letters 13, no. 4 (2024): 1027-1042.
AMA: Tosida, E., Mulyati, M., Jayawinangun, R., Pratiwi, A., Sambas, A & Saputra, J. Investigating the spatial basis clustering of smart tourism potential using fuzzy c-means. Decision Science Letters. 2024;13(4):1027-1042.

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📚 Journal: Decision Science Letters | 📅 Year: 2024 | 📖 Volume: 13 | 📄 Issue: 4 | 👁️ Views: 784 | 📊 Crossref: 1

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