Analyzing Consumer Preferences For Mie Gacoan Product Attributes Through Conjoint Analysis In Surabaya
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This study aimed to analyze consumer preferences toward Mie Gacoan product attributes in Surabaya using conjoint analysis. The research employed a survey method with 100 respondents selected through non-probability sampling. The attributes examined included noodle variants, menu completeness, payment method, and ordering type. The results showed that noodle variant was the most important attribute (42.42%), followed by menu completeness (28.15%), ordering type (17.83%), and payment method (11.60%). The highest utility values were found for Mie Gacoan's sweet-spicy flavour, the complete bundling package, dine-in service, and the cashless payment method. These findings indicate that product variety and service convenience significantly influence consumer purchasing decisions. The model demonstrated good predictive accuracy (p = 0.000), confirming the reliability of conjoint analysis in explaining consumer preferences.
Contribution to Sustainable Development Goals (SDGs):
SDG 8: Decent Work and Economic Growth
SDG 9: Industry, Innovation, and Infrastructure
SDG 12: Responsible Consumption and Production
SDG 17: Partnerships for the Goals
[1] Badan Pusat Statistik. (2024). Statistik Indonesia 2024. Jakarta: BPS. http://www.bps.go.id
[1] [1] Badan Pusat Statistik. (2024). Statistik Indonesia 2024. Jakarta: BPS. http://www.bps.go.id
[2] [2] Kotler, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson Education Limited. https://www.pearson.com
[3] [3] PT Pesta Pora Abadi. (2025). Mie Gacoan Official Company Profile. https://www.miegacoan.id
[4] [4] Kementerian Perindustrian Republik Indonesia. (2024). Laporan Industri Makanan dan Minuman Nasional. https://kemenperin.go.id
[5] [5] Badan Pusat Statistik Kota Surabaya. (2024). Surabaya Dalam Angka 2024. https://surabayakota.bps.go.id
[6] [6] Statista Research Department. (2024). Consumer Behavior in Indonesia’s Culinary Industry. https://www.statista.com
[7] [7] Sumarwan, U. (2011). Perilaku Konsumen: Teori dan Penerapannya dalam Pemasaran. Bogor: Ghalia Indonesia. http://www.ghaliaindonesia.co.id
[8] [8] Tjiptono, F. (2019). Strategi Pemasaran (4th ed.). Yogyakarta: Andi Publisher. https://www.andipublisher.com
[9] [9] Schiffman, L. G., & Wisenblit, J. (2019). Consumer Behavior (12th ed.). Pearson. https://www.pearson.com
[10] [10] Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. https://www.cengage.com
[11] [11] IBM Corporation. (2023). IBM SPSS Statistics Base 26 User Guide. https://www.ibm.com/products/spss-statistics
[12] [12] Green, P. E., & Srinivasan, V. (1990). Conjoint Analysis in Marketing Research: New Developments and Directions. Journal of Marketing, 54(4), 3–19. https://doi.org/10.1177/002224299005400402
[13] [13] Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta. https://www.alfabeta.co.id
[14] [14] Keller, K. L. (2013). Strategic Brand Management (4th ed.). Pearson Education. https://www.pearson.com
[15] [15] Bank Indonesia. (2024). Digital Payment Adoption Report Indonesia. https://www.bi.go.id
[16] [16] Verbeke, W. (2006). Functional Foods: Consumer Willingness to Compromise on Taste for Health? Food Quality and Preference, 17(1–2), 126–131. https://doi.org/10.1016/j.foodqual.2005.03.003
[17] [17] Malhotra, N. K. (2018). Marketing Research: An Applied Orientation (7th ed.). Pearson Education. https://www.pearson.com
[18] Pine, B. J., & Gilmore, J. H. (2011). The Experience Economy. Harvard Business Review Press. https://store.hbr.org

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