Analyzing User Needs and Recommending Targeted Features for Bi’ih Village Tourism Website Using Text Mining and K-Means Clustering
DOI:
https://doi.org/10.52436/1.jutif.2025.6.6.5458Keywords:
Bi’ih Village, Clustering, Smart Village, Text Mining, Tourism WebsiteAbstract
Tourism village websites often do not fully reflect user needs, resulting in digital services that cannot be optimally utilized by residents and potential tourists. This situation limits access to information and reduces the effectiveness of tourism promotion efforts, especially in villages that are undergoing digital transformation. This study was conducted to identify the overall needs of users and compile data-based feature recommendations for the development of the Bi'ih Village website as a durian tourism village. The research method used a quantitative approach through the distribution of an online questionnaire to 110 respondents consisting of visitors and residents, with five open-ended questions and several structured questions. The data was analyzed using text mining to find dominant words and themes, as well as the K-Means Clustering technique determined through the Elbow method to group user characteristics. The analysis results showed that there were 2,702 tokens and 677 meaningful words, with the highest demand for government information and visual tourism content. The segmentation process produced three main groups, namely Active Supporters (61.4%), Tech Enthusiasts (27.3%), and Moderate Users (11.4%). This study contributes a data-driven approach to designing more relevant and measurable features for tourism village websites. The impact is expected to increase the adoption of village digital services, strengthen tourism competitiveness, and support the acceleration of the Smart Village concept implementation. The novelty of this study lies in the integration of text mining and clustering as the basis for developing user-oriented feature recommendations.
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V. Emerllahu and D. Bogataj, “Smart Villages as infrastructure of rural areas: Literature review and research agenda,” IFAC-PapersOnLine, vol. 58, no. 3, pp. 268–273, Jun. 2024, doi: 10.1016/j.ifacol.2024.07.162.
J. Martinez-Gil et al., “Framework for Data Analysis in the Context of the Smart Villages,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, pp. 1–5. doi: 10.1007/978-3-030-58957-8_3.
A. Paniagua, “Smart and Novelty Villages as the Quality Place of Virtuality,” Sustainability (Switzerland), vol. 15, no. 15, Aug. 2023, doi: 10.3390/su151511702.
Amanda Fitria Desvita, Ariska Nurul Habibah, Dwi Yuliana, and Ilham Albana, “Analisa dan Perancangan Website Desa Sebagai Sistem Informasi dan Inovasi di Desa Sokawera, Kecamatan Somagede,” Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika, vol. 2, no. 4, pp. 39–51, Jun. 2024, doi: 10.61132/merkurius.v2i4.135.
W. Abbas and S. Sutrisno, “Pengembangan Website Desa sebagai Sistem Informasi dan Inovasi di Desa Indu Makkombong, Kabupaten Polewali Mandar,” Jurnal Abdi Masyarakat Indonesia, vol. 2, no. 2, pp. 505–512, Feb. 2022, doi: 10.54082/jamsi.276.
X. Liu, M.-Y. Li, Y.-M. Ma, T.-H. Gao, and D.-N. Yuan, “Personalized tourism product design focused on tourist expectations and online reviews: An integrated MCDM method,” Comput Ind Eng, vol. 188, p. 109860, 2024, doi: 10.1016/j.cie.2023.109860.
H. Wang and J. Yan, “Effects of social media tourism information quality on destination travel intention: Mediation effect of self-congruity and trust,” Front Psychol, vol. 13, pp. 1–14, Dec. 2022, doi: 10.3389/fpsyg.2022.1049149.
S. Tiruveedhula, C. M. Rani, and V. Narayana, “A Survey on Clustering Techniques for Big Data Mining,” Indian J Sci Technol, vol. 9, pp. 1–12, Feb. 2016, doi: 10.17485/ijst/2016/v9i3/75971.
T.-L. Wang and M. Azizurrohman, “Segmenting International Tourists in Indonesia: A Cluster Analysis of Preferences, Motivations, and Behaviors,” Journal of Economics Research and Social Sciences, vol. 9, pp. 93–107, Feb. 2025, doi: 10.18196/jerss.v9i1.23582.
T. Apriliana, N. Aulia Maknunah, H. Muhammad Nizam, R. Mardhatillah, and R. Fatwa Nova, “Analyzing Tourist Satisfaction Using Factor Analysis and Text Mining: An Ecotourism Study in Girpasang Village,” Enthusiastic International Journal Of Applied Statistics And Data Science, vol. 4, no. 1, pp. 37–50, Apr. 2024, doi: 10.20885/enthusiastic.vol4.iss1.art4.
E. A. Muhtar, A. Abdillah, I. Widianingsih, and Q. M. Adikancana, “Smart villages, rural development and community vulnerability in Indonesia: A bibliometric analysis,” Cogent Soc Sci, vol. 9, no. 1, pp. 1–25, 2023, doi: 10.1080/23311886.2023.2219118.
W. Wu, C. Xu, M. Zhao, X. Li, and R. Law, “Digital Tourism and Smart Development: State-of-the-Art Review,” Sustainability (Switzerland), vol. 16, no. 23, pp. 1–19, Dec. 2024, doi: 10.3390/su162310382.
I. Sustacha, J. Baños-Pino, and E. Del Valle, “The role of technology in enhancing the tourism experience in smart destinations: A meta-analysis,” Journal of Destination Marketing & Management, vol. 30, Dec. 2023, doi: 10.1016/j.jdmm.2023.100817.
Y. Zhang, M. Sotiriadis, and S. Shen, “Investigating the Impact of Smart Tourism Technologies on Tourists’ Experiences,” Sustainability (Switzerland), vol. 14, no. 5, Mar. 2022, doi: 10.3390/su14053048.
I. C. Chang, J. S. Horng, C. H. Liu, S. F. Chou, and T. Y. Yu, “Exploration of Topic Classification in the Tourism Field with Text Mining Technology—A Case Study of the Academic Journal Papers,” Sustainability (Switzerland), vol. 14, no. 7, Apr. 2022, doi: 10.3390/su14074053.
Q. Li, S. Li, S. Zhang, J. Hu, and J. Hu, “A review of text corpus-based tourism big data mining,” Aug. 01, 2019, MDPI AG. doi: 10.3390/app9163300.
M. Lubis, R. Fauzi, and M. Azani Hasibuan, “Categorization for the Security Awareness Domain and Resource (SADAR) Model in the Organization: A Clustering Statistical Analysis,” in Journal of Physics: Conference Series, Institute of Physics Publishing, Jul. 2019, pp. 1–7. doi: 10.1088/1742-6596/1235/1/012041.
A. P. E. Susilowati, R. Rachmawati, and R. Rijanta, “Smart village concept in Indonesia: ICT as determining factor,” Heliyon, vol. 11, no. 1, Jan. 2025, doi: 10.1016/j.heliyon.2025.e41657.
Ł. Satoła and A. Milewska, “The Concept of a Smart Village as an Innovative Way of Implementing Public Tasks in the Era of Instability on the Energy Market—Examples from Poland,” Jul. 01, 2022, MDPI. doi: 10.3390/en15145175.
S.-S. Kim, W. Shin, and H.-W. Kim, “Unravelling long-stay tourist experiences and satisfaction: text mining and deep learning approaches,” Current Issues in Tourism, vol. 28, no. 3, pp. 492–510, Feb. 2025, doi: 10.1080/13683500.2024.2327840.
M. Deldadehasl, H. H. Karahroodi, and P. Haddadian Nekah, “Customer Clustering and Marketing Optimization in Hospitality: A Hybrid Data Mining and Decision-Making Approach from an Emerging Economy,” Tourism and Hospitality, vol. 6, no. 2, Jun. 2025, doi: 10.3390/tourhosp6020080.
S. I. U. Arul and I. Sanjaya, “Penerapan Algoritma K-Means Clustering pada Sentimen Pengunjung Desa Wisata Hanjeli,” Jurnal CoSciTech (Computer Science and Information Technology), vol. 5, no. 1, pp. 126–133, May 2024, doi: 10.37859/coscitech.v5i1.6955.
A. Junaidi, M. S. Bin Othman, S. Z. Mohd Hashim, M. M. Mohamad, D. Danial Kesa, and A. Nurfikri, “Smart villages: a systematic review of trends, models, and metrics,” Cogent Soc Sci, vol. 11, no. 1, 2025, doi: 10.1080/23311886.2025.2492833.
F. S. Lubis, M. Lubis, L. Hakim, and H. Fakhrurroja, “The Text Mining Analysis Approach for Electronic Information and Transaction (ITE) Implementation Based on Sentiment in the Social Media,” in Lecture Notes in Networks and Systems, Springer Science and Business Media Deutschland GmbH, 2023, pp. 263–271. doi: 10.1007/978-981-19-7660-5_23.
W. Serrano, “Intelligent recommender system for big data applications based on the random neural network,” Big Data and Cognitive Computing, vol. 3, no. 1, pp. 1–29, Mar. 2019, doi: 10.3390/bdcc3010015.
S. Li, F. Liu, Y. Zhang, B. Zhu, H. Zhu, and Z. Yu, “Text Mining of User-Generated Content (UGC) for Business Applications in E-Commerce: A Systematic Review,” Oct. 01, 2022, MDPI. doi: 10.3390/math10193554.
K. Tabianan, S. Velu, and V. Ravi, “K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data,” Sustainability (Switzerland), vol. 14, no. 12, Jun. 2022, doi: 10.3390/su14127243.
A. Rimakka and R. Aras, “User Segmentation Based on Purchasing Habits and Preferences on the Amazon Platform Using K-Means Clustering,” Inspiration: Jurnal Teknologi Informasi dan Komunikasi, vol. 13, pp. 103–109, Dec. 2023, doi: 10.35585/inspir.v13i2.63.
U. Gretzel, M. Sigala, Z. Xiang, and C. Koo, “Smart tourism: foundations and developments,” Electronic Markets, vol. 25, no. 3, pp. 179–188, Sep. 2015, doi: 10.1007/s12525-015-0196-8.
M. Hosseinzadeh et al., “Data cleansing mechanisms and approaches for big data analytics: a systematic study,” J Ambient Intell Humaniz Comput, vol. 14, pp. 1–13, Nov. 2021, doi: 10.1007/s12652-021-03590-2.
M. Lamba and M. Margam, “Text Pre-Processing,” in Text Mining for Information Professionals, 2022, ch. Chapter 3, pp. 79–103. doi: 10.1007/978-3-030-85085-2_3.
S. Renjith, A. Sreekumar, and M. Jathavedan, “An empirical research and comparative analysis of clustering performance for processing categorical and numerical data extracts from social media,” Acta Scientiarum - Technology, vol. 44, Jan. 2022, doi: 10.4025/ACTASCITECHNOL.V44I1.58653.
J. A. Hartigan and M. A. Wong, “Algorithm AS 136: A K-Means Clustering Algorithm,” J R Stat Soc Ser C Appl Stat, vol. 28, no. 1, pp. 100–108, 1979, doi: 10.2307/2346830.
E. A. Manapa Sampetoding and M. Er, “Digital Transformation of Smart Village: A Systematic Literature Review,” Procedia Comput Sci, vol. 239, no. 2023, pp. 1336–1343, 2024, doi: 10.1016/j.procs.2024.06.304.
Suprapti, R. Ardhian Nugroho, and S. Galan Prakoso, “Contributing Factors of Smart Village Implementation in Rural Area: A Systematic Literature Review,” Publik: Jurnal Ilmu Administrasi, vol. 14, no. 1, pp. 77–95, Jun. 2025, doi: 10.31314/pjia.14.1.77-95.2025.
F. Liao, Y. Zheng, and D. Yang, “Digital transformation in rural governance: unraveling the micro-mechanisms and the role of government subsidies,” Humanit Soc Sci Commun, vol. 12, no. 1, Dec. 2025, doi: 10.1057/s41599-025-05716-9.
D. Sagarik, P. Chansukree, W. Cho, and E. Berman, “E-government 4.0 in Thailand: The role of central agencies,” IOS Press, 2018. doi: 10.3233/IP-180006.
T. Thi Uyen Nguyen, P. Van Nguyen, H. Thi Ngoc Huynh, G. Q. Truong, and L. Do, “Unlocking e-government adoption: Exploring the role of perceived usefulness, ease of use, trust, and social media engagement in Vietnam,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 2, p. 100291, 2024, doi: https://doi.org/10.1016/j.joitmc.2024.100291.
M. A. Widianti and R. Sepriandana, “Leveraging new media for the branding of pinge tourism village,” Priviet Social Sciences Journal, vol. 5, no. 10, pp. 81–90, Oct. 2025, doi: 10.55942/pssj.v5i10.656.
I. Mutmainah et al., “Analysis of Factors Influencing Digital Transformation of Tourism Villages: Evidence from Bogor, Indonesia,” Tourism and Hospitality, vol. 6, no. 2, p. 23, Jun. 2025, doi: 10.3390/tourhosp6020057.
I. G. Saputra, “Digitalization in Rural Tourism Products: From Stages to Managerial Readiness,” International Journal of Human Research and Social Science Studies, vol. 01, Dec. 2024, doi: 10.55677/ijhrsss/01-2024-Vol01I6.
T. Mou and H. Wang, “Online comments of tourist attractions combining artificial intelligence text mining model and attention mechanism,” Sci Rep, vol. 15, no. 1, p. 1121, 2025, doi: 10.1038/s41598-025-85139-3.
Z. Mao, X. Zhu, Q. Zou, and W. Jin, “How Can Digital Villages Improve Basic Public Services Delivery in Rural Areas? Evidence from 1840 Counties in China,” Agriculture (Switzerland), vol. 14, no. 10, Oct. 2024, doi: 10.3390/agriculture14101802.
S. Rodrigues, R. Correia, R. Gonçalves, F. Branco, and J. Martins, “Digital Marketing’s Impact on Rural Destinations’ Image, Intention to Visit, and Destination Sustainability,” Sustainability (Switzerland), vol. 15, no. 3, pp. 1–20, Feb. 2023, doi: 10.3390/su15032683.
L. Anatan and Nur, “Micro, Small, and Medium Enterprises’ Readiness for Digital Transformation in Indonesia,” economies, vol. 11, pp. 1–21, May 2023, doi: 10.3390/economies11060156.
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