Decision Support System for Selecting the Best Bus Destination for Toraja using the Weighted Product Method
Keywords:
Queuing Applications, Client Server, SDLC Prototype Model, Decision Support SystemAbstract
This research aims to develop a Decision Support System (DSS) that can assist in selecting the best bus for tourism purposes in Toraja. The objective of this research is to facilitate the decision-making process for prospective tourists who want to use buses as their means of transportation during their visit to Toraja. The method employed in this research is the Weighted Product (WP) method. This method was chosen due to its ability to handle multiple criteria, enabling selection based on various relevant factors such as price, service quality, bus capacity, operational schedule, and level of comfort. Furthermore, the collected data will be input into the developed DSS using the WP method. The DSS will calculate relative scores for each bus based on the predetermined criteria weights. The results of this research are expected to provide objective and accurate recommendations for selecting the best bus. These recommendations can serve as a guide for prospective tourists in choosing a bus that suits their needs and preferences. Additionally, this research can also provide valuable insights for bus operators in improving service quality and customer satisfaction.
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References
Alamatsaz, K., Hussain, S., Lai, C., & Eicker, U. (2022). Electric Bus Scheduling and Timetabling, Fast Charging Infrastructure Planning, and Their Impact on the Grid: A Review. Energies, 15(21), 7919.
Darmawan, A., Bahri, S., & Rahman, I. (2019). The Empirical Analysis of the Quality Level of Tourism Industry Services in Toraja: Ke’te Kesu. Journal of Indonesian Tourism and Development Studies, 7(1), 13–20.
Ginantra, N. L. W. S. R., Bhawika, G. W., Zamsuri, A., Budianto, F., & Daengs, G. S. A. (2020). Decision Support System in recommending climbing tourism destinations with Profile Matching method. IOP Conference Series: Materials Science and Engineering, 835(1), 12054.
Halid, A., Andryanto, A., Amiruddin, E. G., Butsiarah, B., Tamra, T., & Pasanda, S. (2022). PENGENALAN KEARIFAN LOKAL BUDAYA TANA TORAJA MENGGUNAKAN VIRTUAL TOUR BERBASIS WEB. SemanTECH (Seminar Nasional Teknologi, Sains Dan Humaniora), 4(1), 387–394.
Phillips-Wren, G., Daly, M., & Burstein, F. (2021). Reconciling business intelligence, analytics and decision support systems: More data, deeper insight. Decision Support Systems, 146, 113560.
Rahadi, I., Basri, H., Junaidi, M. A., Alfatwari, D., & others. (2022). The most popular tourist destinations in Lombok Timur by univariate and bivariate analysis methods. Jurnal Mantik, 6(3), 2711–2720.
Simanjuntak, M., Faridi, A., Indrayanti, S., Frisiska, F., Pratiwi, I. I., Siagian, V., Ferinia, R., Nasrullah, N., Murdana, I. M., Latif, L., & others. (2023). Digital Tourism. Yayasan Kita Menulis.
Witlox, F., Zwanikken, T., Jehee, L., Donners, B., & Veeneman, W. (2022). Changing tracks: identifying and tackling bottlenecks in European rail passenger transport. European Transport Research Review, 14(1), 1–12.
Zhao, R., Yang, L., Liang, X., Guo, Y., Lu, Y., Zhang, Y., & Ren, X. (2019). Last-mile travel mode choice: Data-mining hybrid with multiple attribute decision-making. Sustainability, 11(23), 6733.
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Copyright (c) 2023 Erwin Gatot Amiruddin, Kamaruddin, Asnimar, Lusi Dwi Putri, Hiknatius Rianto Madao

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