Implementasi Metode AHP pada Sistem Pendukung Keputusan Pemilihan Glamping di Kintamani Berbasis Web Menggunakan Data Online Travel Agent (OTA)
DOI:
https://doi.org/10.46880/jmika.Vol10No2.pp791-800Keywords:
Glamping, AHP Rating Model, OTA, Decision Support System, Web ScrapingAbstract
The post-pandemic shift in tourism trends has triggered a significant increase in the number of glamping accommodations in the Kintamani region. This rapid growth inadvertently induces an information overload phenomenon across Online Travel Agent (OTA) platforms, precipitating customer confusion and decision postponement. Tourists face significant cognitive barriers when objectively comparing dynamic pricing, facility completeness, and scenic quality within inflexible search architectures. This study implements a web-based Decision Support System (DSS) utilizing the Analytical Hierarchy Process (AHP) Rating Model to deliver objective and highly personalized accommodation recommendations. A hybrid data acquisition framework is deployed, amalgamating automated web scraping from Tiket.com with continuous manual verification to eradicate data gaps inherently present in OTAs. This research offers explicit novelty by establishing a highly scalable algorithmic integration that significantly enhances computational efficiency for massive alternatives, effectively mitigating information overload using real-time OTA data. The AHP Rating Model was selected for its dual capacity to mathematically validate user preference consistency and process vast arrays of alternatives simultaneously via absolute measurement, thereby bypassing the computational inefficiencies of pairwise comparisons. Empirical implementation demonstrates that the algorithmic integration successfully converts unstructured OTA data into a standardized mathematical ranking based on subjective user weights. System evaluation confirms that Black Box Testing indicates all system functions operate with a 100% success rate, while the User Acceptance Test (UAT) involving 12 respondents achieved a user acceptance rate of 95.2%. Statistical descriptive analysis further substantiates the consistency of user satisfaction with low variance. The implemented system has been proven to effectively filter complex variables, thus significantly mitigating tourists' cognitive load during the decision-making process.
References
Aryaseta, A. W., Hadidjija, K., Utomo, E. B., & Putra, M. H. R. (2024). Penerapan metode rating scale dengan pendekatan Analytical Hierarchy Process (AHP) pada penilaian kinerja karyawan PT. Omega Mas. Jurnal Teknik Industri Terintegrasi, 7(4), 2328–2335.
Banerjee, A., Banik, P., & Wörndl, W. (2023). A review of individual and multistakeholder fairness in tourism recommender systems. Frontiers in Big Data, 6, 1168692. https://doi.org/10.3389/fdata.2023.1168692
Citra, E., & Kurnia, Y. (2025). Strategi Ota (Online Travel Agent) Dalam Meningkatkan Pemesanan Kamar Hotel Pamordian Dengan Metode Swot Dan Ahp Di Pangandaran. Jurnal Industri Galuh, 7(1), 35–42.
Desinta, C., Novandari, W., & Pradisti, L. (2025). Much to Choose, Too Confused to Decide: Investigating Customer Confusion as a Mediator of Information Overload and Decision Postponement. Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis, 5(2), 850–859.
Faris, A., & Hapantenda, A. K. W. (2024). Sistem Pendukung Keputusan Rekomendasi Tempat Wisata Di Pulau Bawean Menggunakan Metode Analytical Hierarchy Process. SABER: Jurnal Teknik Informatika Sains dan Ilmu Komputer, 2(1), 289–299.
Iqbal, M. (2024). Penerapan Metode SMART Dan Pembobotan ROC Pada Pemilihan Destinasi Wisata Teraman di Indonesia. Jurnal Fasilkom, 14(2), 355–360. https://doi.org/10.37859/jf.v14i2.7256
Isnaningsum, I., Nadeak, T. E. Y., & Mustari, D. (2024). Penerapan Metode AHP (Analytical Hierarchy Process) Sistem Pendukung Keputusan dalam Pemilihan Hotel Terbaik Berbasis Java. Remik: Riset dan E-Jurnal Manajemen Informatika Komputer, 8(2), 752–763.
Jannah, I. A., et al. (2024). Sistem Pendukung Keputusan Pemilihan Jenis Kamar Terbaik Pada Hotel Menggunakan Metode AHP. Jurnal Riset dan Aplikasi Mahasiswa Informatika, 5(2), 424–433.
Juniarta, P. P., Wardana, M. A., & Saputra, K. W. A. (2022). Persepsi Wisatawan Milenial Terhadap Akomodasi Glamping di Kawasan Kintamani. Jurnal Ilmiah Pariwisata, 27(2), 145–152.
Pakpahan, H. S., Basani, Y., & Shadrina, N. (2023). Sistem Pendukung Keputusan Pemilihan Objek Wisata Menggunakan Metode Weighted Product dan Simple Additive Weighting. Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer, 18(1), 1. http://dx.doi.org/10.30872/jim.v18i1.8399
Rogers, Y., Sharp, H., & Preece, J. (2023). Interaction Design: Beyond Human-Computer Interaction (6th ed.). John Wiley & Sons.
Romadhoni, F., Sari, A. P., & Akbar, F. A. (2024). Analytical Hierarchy Process Dan Weighted Product Dalam Pemilihan Tempat Wisata Di Jombang Berbasis Web. JATI (Jurnal Mahasiswa Teknik Informatika), 8(4), 4356–4363.
Rufai, A., & Komarullah, T. (2025). SISTEM Sistem Pendukung Keputusan Seleksi Siswa Calon SDM Menggunakan Metode AHP. Jurnal Ilmiah Sains dan Teknologi, 9(1), 143–151.
Saaty, T. L. (1986). Absolute and relative measurement with the AHP. The most livable cities in the United States. Socio-Economic Planning Sciences, 20(6), 327–331.
Saaty, T. L. (2006). Rank from comparisons and from ratings in the analytic hierarchy/network processes. European Journal of Operational Research, 168(2), 557–570. https://doi.org/10.1016/j.ejor.2004.04.032
Solano-Barliza, A., Arregocés-Julio, I., Aarón-Gonzalvez, M., Zamora-Musa, R., De-La-Hoz-Franco, E., Escorcia-Gutierrez, J., & Acosta-Coll, M. (2024). Recommender systems applied to the tourism industry: a literature review. Cogent Business & Management, 11(1), 2367088. https://doi.org/10.1080/23311975.2024.2367088
Suwandi, E. S. M. P., Mahmudi, A., & Faisol, A. (2024). Implementasi Metode Fuzzy Ahp Pada Sistem Pendukung Keputusan Pemilihan Objek Wisata Kalimantan Barat. JATI (Jurnal Mahasiswa Teknik Informatika), 8(5), 8315–8322. https://doi.org/10.36040/jati.v8i5.10530
Wahyuningtyas, D., Asanti, D. N., Supriati, S. D., & Putri, B. A. (2024). Sistem Pendukung Keputusan Pemilihan Tempat Wisata Terbaik di Kota Surakarta Menggunakan Metode SAW. Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi, 2(3), 142–152. https://doi.org/10.62951/bridge.v2i3.128
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