Evaluating Students’ Bread Preferences in UiTM Perlis: An Application of the Fuzzy Analytical Hierarchy Process
DOI:
https://doi.org/10.24191/jcrinn.v10i2.519Keywords:
Fuzzy Analytical Hierarchy Process, Multi Criteria Decision Making, Bread PreferenceAbstract
Nowadays, the food industry has expanded significantly, attracting many investors to invest in this business. Among these, the popularity of bread has been increasing, and many brands are available in the market. Bread has become a popular alternative food, especially among students, as it is convenient to store and carry. With numerous bread brands available, students have more options to choose from, give a challenge for bread manufacturers to compete with one another. This study aims to evaluate the factors influencing students' bread selection and determine the most preferred brand among UiTM Perlis students. It considers four criteria which are price, taste, packaging, and brand, while the alternatives bread brands are Gardenia, Massimo, Mighty White, and High Five. A multi criteria decision making method, the Fuzzy Analytical Hierarchy Process (FAHP), is applied to rank the preferred bread among UiTM Perlis students. The FAHP methodology involves data collection, consistency ratio measurement, and FAHP calculations. This approach is able to handle the subjective judgments of consumers. The results indicate that brand is the most influential factor, while the factor of price takes the lowest. Gardenia has become as the most preferred brand, followed by Mighty White, with High Five being the least favoured. This study provides valuable view of the students' bread preferences, helping industry players better understand consumer behaviour in the bread market while also improving their business and marketing strategies.
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Afolayan, A. H., Ojokoh, B. A., & Adetunmbi, A. O. (2020). Performance analysis of fuzzy analytic hierarchy process multi-criteria decision support models for contractor selection. Scientific African, 9. https://doi.org/10.1016/j.sciaf.2020.e00471
Albari. & Indah, S. (2020). The influence of product price on consumers’ purchasing decisions. Review of Integrative Business and Economics Research, 7(2). 328-337.
Ayhan, M. B. (2013). A fuzzy AHP approach for supplier selection problem: A case study in a gearmotor company. International Journal of Managing Value and Supply Chains, 4(3), 11–23. https://doi.org/10.5121/ijmvsc.2013.4302
Aziz, K.A.A., Daud, W.S.W., Idris, M.F.I.M. & Zakaria, S. N. (2024). The ranking of factors in selecting the online shopping platform in Malaysia based on Fuzzy Analytic Hierarchy Process. Journal of Computing Research & Innovation (JCRINN), 9(1), 31-42. https://doi.org/10.24191/jcrinn.v9i1.393
Bozanic, D., Pamucar. D, (2013). Modification of the analytical hierarchical process method and its application in decision making in the defense system. Technology, 68(2), 327-334.
Brajkovic, E., Sjekavica, T., & Volaric, T. (2015). Optimal wireless network selection following students’ online habits using fuzzy AHP and TOPSIS methods. In IWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference (pp. 397–402). IEEE. https://doi.org/10.1109/IWCMC.2015.7289116
Calabrese, A., Costa, R., Levialdi, N., & Menichini, T. (2019). Integrating sustainability into strategic decision-making: A fuzzy AHP method for the selection of relevant sustainability issues. Technological Forecasting and Social Change, 139(September 2018), 155–168. https://doi.org/10.1016/j.techfore.2018.11.005
Chandran, B., Golden, B., & Wasil, E. (2005). A computational study of the analytic hierarchy process with exponential and triangular scales. Computers & Operations Research, 32(9), 2561–2574.
https://doi.org/10.1016/j.cor.2004.03.008
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649–655. https://doi.org/10.1016/0377-2217(95)00300-2
Dožić, S., Lutovac, T., & Kalić, M. (2018). Fuzzy AHP approach to passenger aircraft type selection. Journal of Air Transport Management, 68, 165–175. https://doi.org/10.1016/j.jairtraman.2017.08.003
Dutta, D., & Sharma, N. (2023). Impact of product packaging on consumer buying behaviour: A review and research agenda. Research Review International Journal of Multidisciplinary, 8(7), 65–70. https://doi.org/10.31305/rrijm.2023.v08.n07.009
Eglite, A., & Kunkulberga, D. (2017, April 27). Bread choice and consumption trends. Foodbalt2017. https://doi.org/10.22616/foodbalt.2017.005
Gava, O., Bartolini, F., & Brunori, G. (2016). Factors in bread choice. Italian Review of Agricultural Economics (REA), 71(1), 229-237. https://doi.org/10.13128/REA-18642
Halim, S. A., Deris, S., & Zaki, M. Z. M. (2014). Fuzzy AHP based design decision for product line architecture. In 2014 8th Malaysian Software Engineering Conference (pp. 119–124). IEEE. https://doi.org/10.1109/MySec.2014.6986000
Harputlugil, T. (2018). Analytic Hierarchy Process (AHP) as an assessment approach for architectural design: Case study of architectural design studio. Iconarp International Journal of Architecture and Planning, 6(2), 217–245. https://doi.org/10.15320/iconarp.2018.53
Idris, M.F.I.M., Aziz, K.A.A., Aziz, N. S. F. (2023). Selecting effective ways to prevent COVID-19 spread using the Fuzzy Analytic Hierarchy Process (FAHP) method. Journal of Computing Research & Innovation (JCRINN), 8(2), 112-123. https://doi.org/10.24191/jcrinn.v8i2.348
Kaganski, S., Majak, J., & Karjust, K. (2018). Fuzzy AHP as a tool for prioritization of key performance indicators. Procedia CIRP, 72, 1227–1232. https://doi.org/10.1016/j.procir.2018.03.097
Kourkouta, L., Koukourikos, K., Iliadis, C., Ouzounakis, P., Monios, A., Tsaloglidou, & A. (2017). Bread and health. Journal of Pharmacy and Pharmacology, 5(11). https://doi.org/10.17265/2328-2150/2017.11.005
Li, W., Yu, S., Pei, H., Zhao, C., & Tian, B. (2017). A hybrid approach based on fuzzy AHP and 2-tuple fuzzy linguistic method for evaluation in-flight service quality. Journal of Air Transport Management, 60, 49–64. https://doi.org/10.1016/j.jairtraman.2017.01.006
Muhammad Fikri, M. A. A., Muhammad Amir, N. N. & Singh Sengar, S. (2022). Marketing strategies in peninsular Malaysia: Case study of Gardenia Barkeries Sdn. Bhd. Asia Pasific Journal of Management and Education (APJME), 5(1), 94–107. https://doi.org/10.32535/apjme.v5i1.1430
Nair, S. (2013). Assessing customer satisfaction and brand awareness of branded bread. Journal of Business Management, 12(2), 13–18. https://doi.org/10.9790/487X-1221318
Nordin, Z. A., & Teo, S.S. (2024). Factors influencing consumers purchase intention of packaged food among adults in Klang Valley Malaysia. Journal of Tourism, Hospitality and Culinary Arts, 16(2), 131-149.
Peng, G., Han, L., Liu, Z., Guo, Y., Yan, J., & Jia, X. (2021). An application of Fuzzy Analytic Hierarchy Process in risk evaluation model. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.715003
Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
Saaty, T. L. & Ozdemir, M. S. (2015). How many judges should there be in a group? Annals of Data Science, Springer. https://10.1007/s40745-014-0026-4
Skořepa, L., & Pícha, K. (2016). Factors of purchase of bread - prospect to regain the market Share? Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 64(3), 1067–1072. https://doi.org/10.11118/actaun201664031067
Soja, L. K., & Melani, A. (2021). Strategi pemasaran roti di King’s Bakery dengan metode Analytical Hierarchy Process (AHP). Industrika: Jurnal Ilmiah Teknik Industri, 5(2), 81–85. https://doi.org/10.37090/indstrk.v5i2
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Copyright (c) 2025 Khairu Azlan Abd Aziz, Wan Suhana Wan Daud, Mohd Fazril Izhar Mohd Idris, Nur Aqilah Kamal Azman, Rizauddin Saian (Author)

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