Melola Discovery

← Melola Discovery

Jurnal

Mapping the Contribution of Kasepuhan Ciptagelar Tourism to Regional Income and Community Economy using the K-Means Clustering Method

Scientific Journal of Informatics · Vol. 13 No. 1 (2026) · hlm. 97–108

DOI
10.15294/sji.v13i1.35520
ISSN
2407-7658, 2460-0040
Terbit
2026-02-01
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

Purpose: This study aims to map the contribution of Kasepuhan Ciptagelar tourism to regional income and the community economy as part of the UNESCO Global Geopark Ciletuh–Pelabuhanratu, Sukabumi. The research addresses the problem of limited infrastructure, poor accessibility, and low optimization of local tourism potential that hinders its contribution to regional income. The objective is to provide a data-driven understanding of tourism’s economic and socio-cultural impact. This study aims to map the contribution of Kasepuhan Ciptagelar tourism to regional income and the community economy as part of the UNESCO Global Geopark Ciletuh–Pelabuhanratu, Sukabumi. The research addresses the problem of limited infrastructure, poor accessibility, and low optimization of local tourism potential that hinders its contribution to regional income. The objective is to provide a data-driven understanding of tourism’s economic and socio-cultural impact. Methods: A mixed-method approach was used, integrating quantitative and qualitative analyses. Data were collected through questionnaires and interviews from three main respondent groups: local community (58%), tourists (31%), and government/MSMEs (11%). The K-Means Clustering algorithm was applied to classify perceptions into three contribution levels-high, medium, and low-while an ANOVA test was used to examine statistical differences among clusters. Results: The clustering results revealed three contribution categories: C1 (low) with 186 data points, C2 (medium) with 195 data points, and C3 (high) with 216 data points. The high cluster demonstrated a strong positive contribution to regional income, local economy, and infrastructure development, although challenges remain in socio-cultural sustainability. The ANOVA test confirmed significant differences in economic and infrastructure variables, while destination attractiveness was relatively uniform across clusters. Novelty: This study provides a multidimensional mapping model that integrates socio-economic and participatory data with K-Means clustering to analyze cultural tourism contribution. It introduces a data visualization information system prototype for policymakers to evaluate tourism performance interactively. The research offers new insights into evidence-based strategies for sustainable and community-centered cultural tourism development.

Kata kunci

Jaringan kolaborasi para penulis

28 penulis · 64 tautan kepenulisan bersama · 3 lintas organisasi

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Tun Hussein Onn University of Malaysia
  • Universitas Hang Tuah
  • Universitas Bani Saleh
  • Nusa Putra University
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Mohd Farhan Md FudzeeTun Hussein Onn University of Malaysia2
Shahreen binti KasimTun Hussein Onn University of Malaysia1
Muhammed E Abd Alkhalec TharwatTun Hussein Onn University of Malaysia1
Mohammed Kumail AliTun Hussein Onn University of Malaysia1
Marisa MarisaUniversitas Bani Saleh1
Zubaile AbdullahTun Hussein Onn University of Malaysia1
KuncowatiAfiliasi tidak diketahui1
Arya Nabil AbyanAfiliasi tidak diketahui1
Arya Nabil AbyanUniversitas Hang Tuah1
SupangatUniversitas Hang Tuah1
Moneyta Dholah RositaAfiliasi tidak diketahui1
Yoga Vikriansyah WijayaAfiliasi tidak diketahui1
Nneng Antin MAfiliasi tidak diketahui1
Adhitia ErfinaNusa Putra University1
Rieska Rahayu AyuningsihAfiliasi tidak diketahui1
RiskyAfiliasi tidak diketahui1
Afif NoorAfiliasi tidak diketahui1
Abdul GhofurAfiliasi tidak diketahui1
Anis FittriaAfiliasi tidak diketahui1
Shahreen KasimAfiliasi tidak diketahui1
Mohd Farhan Md. FudzeeAfiliasi tidak diketahui1
Ichwanul Muslim Karo KaroAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/sji/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Mapping the Contribution of Kasepuhan Ciptagelar Tourism to Regional Income and Community Economy using the K-Means Clustering Method</dc:title>
	<dc:creator xml:lang="en">Gustian, Dudih</dc:creator>
	<dc:creator xml:lang="en">Sembiring, Falentino</dc:creator>
	<dc:creator xml:lang="en">Rahma, Fanny</dc:creator>
	<dc:creator xml:lang="en">Suwanto, Aat</dc:creator>
	<dc:creator xml:lang="en">Ramli, Azizul Azhar</dc:creator>
	<dc:creator xml:lang="en">Supangat</dc:creator>
	<dc:subject xml:lang="en">Cultural Tourism</dc:subject>
	<dc:subject xml:lang="en">Kasepuhan Ciptagelar</dc:subject>
	<dc:subject xml:lang="en">Community Economy</dc:subject>
	<dc:subject xml:lang="en">K-Means clustering,</dc:subject>
	<dc:subject xml:lang="en">UNESCO Global Geopark</dc:subject>
	<dc:description xml:lang="en">Purpose: This study aims to map the contribution of Kasepuhan Ciptagelar tourism to regional income and the community economy as part of the UNESCO Global Geopark Ciletuh–Pelabuhanratu, Sukabumi. The research addresses the problem of limited infrastructure, poor accessibility, and low optimization of local tourism potential that hinders its contribution to regional income. The objective is to provide a data-driven understanding of tourism’s economic and socio-cultural impact. This study aims to map the contribution of Kasepuhan Ciptagelar tourism to regional income and the community economy as part of the UNESCO Global Geopark Ciletuh–Pelabuhanratu, Sukabumi. The research addresses the problem of limited infrastructure, poor accessibility, and low optimization of local tourism potential that hinders its contribution to regional income. The objective is to provide a data-driven understanding of tourism’s economic and socio-cultural impact.
Methods: A mixed-method approach was used, integrating quantitative and qualitative analyses. Data were collected through questionnaires and interviews from three main respondent groups: local community (58%), tourists (31%), and government/MSMEs (11%). The K-Means Clustering algorithm was applied to classify perceptions into three contribution levels-high, medium, and low-while an ANOVA test was used to examine statistical differences among clusters.
Results: The clustering results revealed three contribution categories: C1 (low) with 186 data points, C2 (medium) with 195 data points, and C3 (high) with 216 data points. The high cluster demonstrated a strong positive contribution to regional income, local economy, and infrastructure development, although challenges remain in socio-cultural sustainability. The ANOVA test confirmed significant differences in economic and infrastructure variables, while destination attractiveness was relatively uniform across clusters.
Novelty: This study provides a multidimensional mapping model that integrates socio-economic and participatory data with K-Means clustering to analyze cultural tourism contribution. It introduces a data visualization information system prototype for policymakers to evaluate tourism performance interactively. The research offers new insights into evidence-based strategies for sustainable and community-centered cultural tourism development.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-02-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/sji/article/view/35520</dc:identifier>
	<dc:identifier>10.15294/sji.v13i1.35520</dc:identifier>
	<dc:source xml:lang="en">Scientific Journal of Informatics; Vol. 13 No. 1: Regular Issue; 97-108</dc:source>
	<dc:source>2407-7658</dc:source>
	<dc:source>2460-0040</dc:source>
	<dc:source>10.15294/sji.v13i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/sji/article/view/35520/8491</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Scientific Journal of Informatics</dc:rights>
</oai_dc:dc>