COMBINATION OF MACBETH METHOD AND RANK ORDER CENTROID TECHNIQUES IN DETERMINING THE BEST TOURISM LOCATION IN EAST BALI

  • I Gede Iwan Sudipa Institut Bisnis dan Teknologi Indonesia
  • I Komang Arya Ganda Wiguna Institut Bisnis dan Teknologi Indonesia
  • Dwi Putra Asana Institut Bisnis dan Teknologi Indonesia
  • I Nyoman Tri Anindia Putra Institut Bisnis dan Teknologi Indonesia
  • Putu Sugiartawan Institut Bisnis dan Teknologi Indonesia
Keywords: Macbeth Method, Rank Order Centroid, Qualitative Attribute, Semantic Scale, Decision Making On Determination Tourist Location

Abstract

Travel activities must be done in self-development, self-relaxation, and adding to the tourism experience. One of the popular tourist activities is visiting tourist sites; for example, in the Karangasem district, there are many tourist sites that local and foreign tourists often visit. When traveling, tourists usually decide to visit interesting tourist destinations. The number of tourist destinations available often makes tourists confused about choosing a destination according to their preferences. The purpose of this study is for tourists to determine tourist location destinations based on qualitative and quantitative assessments. The Macbeth method accommodates eight qualitative assessment attributes and two quantitative attributes from decision-makers. The rank order centroid technique is used in calculating the attribute weight value of the assessment criteria based on the order of attribute priority. The results of the study are the best tourist locations with Besakih Temple (A3) with a value of V = 45.25, then Tirta Gangga (A2) with a value of V = 43, Tenganan Village (A4) with a value of V = 39, 45 and Taman Edge (A1) with a value of V = 35.37.

References

Akyüz, G., Tosun, Ö., & Aka, S. (2018). Multi criteria decision-making approach for evaluation of supplier performance with MACBETH method. International Journal of Information and Decision Sciences, 10(3), 249–262.
Alinezhad, A., & Khalili, J. (2019a). ANP Method. In International Series in Operations Research and Management Science (Vol. 277). https://doi.org/10.1007/978-3-030-15009-9_17
Alinezhad, A., & Khalili, J. (2019b). New methods and applications in multiple attribute decision making (MADM) (Vol. 277). Springer.
Bana e Costa, C. A., De Corte, J.-M., & Vansnick, J.-C. (2016). On the mathematical foundations of MACBETH. In Multiple criteria decision analysis (pp. 421–463). Springer.
Banihabib, M. E., Hashemi-Madani, F.-S., & Forghani, A. (2017). Comparison of compensatory and non-compensatory multi criteria decision making models in water resources strategic management. Water Resources Management, 31(12), 3745–3759.
Barron, F. H., & Barrett, B. E. (1996). Decision quality using ranked attribute weights. Management Science. https://doi.org/10.1287/mnsc.42.11.1515
BPS Provinsi Bali. (2022). Banyaknya Wisatawan Mancanegara Bulanan ke Bali Menurut Pintu Masuk (Orang) Tahun 2022. Https://Bali.Bps.Go.Id/. https://bali.bps.go.id/indicator/16/106/1/banyaknya-wisatawan-mancanegara-bulanan-ke-bali-menurut-pintu-masuk.html
Costa, B. E., Carlos, A., & Vansnick, J.-C. (1999). The MACBETH approach: Basic ideas, software, and an application. In Advances in decision analysis (pp. 131–157). Springer.
Dinas Pariwisata Kabupaten Karangasem. (2019). Destinasi Wisata Tujuan wisata di Kabupaten Karangasem. Http://Tourism.Karangasemkab.Go.Id/. http://tourism.karangasemkab.go.id/destinasi/
e Costa, C. A. B., & Chagas, M. P. (2004). A career choice problem: An example of how to use MACBETH to build a quantitative value model based on qualitative value judgments. European Journal of Operational Research, 153(2), 323–331.
Ertuğrul, İ., & Öztaş, G. Z. (2016). Performance analysis of online bookstores by using macbeth and promethee methods. Journal of Internet Applications and Management, 7(2), 21–38.
Hwang, C.-L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making (pp. 58–191). Springer.
Karande, P., & Chakraborty, S. (2013). Using MACBETH method for supplier selection in manufacturing environment. International Journal of Industrial Engineering Computations, 4(2), 259–279.
Kundakcı, N. (2019). An integrated method using MACBETH and EDAS methods for evaluating steam boiler alternatives. Journal of Multi-Criteria Decision Analysis, 26(1–2), 27–34. https://doi.org/10.1002/mcda.1656
Lamas Leite, J. G., Brasil de Brito Mello, L. C., Baptista Soares de Mello, J. C. C., Picanço Cruz, E., & Navarro Fontanillas, C. (2017). Using the MACBETH Method to improve the scenario analysis tool PESTEL in large civil construction projects. Dyna, 84(203), 322–327.
Parhusip, N. E., & Arida, I. N. S. (2018). Wisatawan milenial di Bali (Karakteristik, motivasi dan makna berwisata). Jurnal Destinasi Pariwisata, 6(2), 299–303.
Permana, A. A. J., & Wirayani, M. P. (2021). Pengembangan Media Promosi untuk Membantu Promosi Desa Wisata (Studi Kasus: Desa Bugbug–Tenganan, Karangasem). Jurnal Edutech Undiksha, 9(2).
Prasetyaningrum, P. T., & Sari, A. (2019). Penerapan Analytical Hierarchy Process (Ahp) Untuk Mendukung Keputusan Pemilihan Desrinasi Tempat Wisata Daerah Istimewa Yogyakarta Untuk Para Wisatawan Mancanegara Non Asia. Simetris: Jurnal Teknik Mesin, Elektro Dan Ilmu Komputer, 10(2), 519–528.
Roberts, R., & Goodwin, P. (2002). Weight approximations in multi-attribute decision models. Journal of Multi-Criteria Decision Analysis, 11(6), 291–303. https://doi.org/10.1002/mcda.320
Satria, E., Atina, N., Simbolon, M. E., & Windarto, A. P. (2018). Spk: Algoritma Multi-Attribute Utility Theory (Maut) Pada Destinasi Tujuan Wisata Lokal Di Kota Sidamanik. CESS (Journal of Computer Engineering, System and Science), 3(2), 168–172.
Sudipa, I. G. I., Wiguna, I. K. A. G., Putra, I. N. T. A., & Hardiatama, K. (2021). Implementasi Metode Analytical Hierarchy Process Dan Interpolasi Linier Dalam Penentuan Lokasi Wisata Di Kabupaten Karangasem. J-SAKTI (Jurnal Sains Komputer Dan Informatika), 5(2), 866–878.
Sugiartawan, P., & Hartati, S. (2018). Group Decision Support System to Selection Tourism Object in Bali Using Analytic Hierarchy Process (AHP) and Copeland Score Model. 2018 Third International Conference on Informatics and Computing (ICIC), 1–6.
Sugiartawan, P., Hartati, S., & Musdholifah, A. (2020). Modeling of a tourism group decision support system using risk analysis based knowledge base. Int. J. Adv. Comput. Sci. Appl, 11(7), 354–363.
Trimurti, C. P., & Utama, I. G. B. R. (2020). Model Pengembangan Destinasi Dalam Perspektif Motivasi Berwisata. Deepublish.
Yoga, I. W. M., Putra, I. G. J. E., & Paramitha, A. A. I. I. (2019). Perancangan Pemetaan Destinasi Wisata Kabupaten Karangasem Berbasis Sistem Informasi Geografis. Jutisi: Jurnal Ilmiah Teknik Informatika Dan Sistem Informasi, 8(3), 131–140.
Yuendini, E. P., Rachmi, I. N., Aini, N. N., Harini, R., & Alfana, M. A. F. (2019). Analisis Potensi Ekonomi Sektor Pertanian dan Sektor Pariwisata di Provinsi Bali Menggunakan Teknik Analisis Regional. Jurnal Geografi: Media Informasi Pengembangan Dan Profesi Kegeografian, 16(2), 128–136.
Published
2022-08-24
How to Cite
Sudipa, I. G. I., Wiguna, I. K. A. G., Asana, D. P., Putra, I. N. T. A., & Sugiartawan, P. (2022). COMBINATION OF MACBETH METHOD AND RANK ORDER CENTROID TECHNIQUES IN DETERMINING THE BEST TOURISM LOCATION IN EAST BALI. Proceeding International Conference on Information Technology, Multimedia, Architecture, Design, and E-Business, 2, 39-45. Retrieved from https://eprosiding.idbbali.ac.id/index.php/imade/article/view/708
Abstract dilihat 555 kali
FULL TEXT diunduh 339 kali