DOI : https://doi.org/10.29165/ajarcde.v10i2.1097

Application of Fuzzy Logic for Sensory Evaluation Analysis of Commercial Soymilks

Wahyu Putri (1), Hadi Munarko (2), Ajeng Astrini Brahmanti (3)
(1) Food Technology Study Program, Faculty of Engineering and Science, Universitas Pembangunan Nasional "Veteran" Jawa Timur, Surabaya, Indonesia
(2) Food Technology Study Program, Faculty of Engineering and Science, Universitas Pembangunan Nasional "Veteran" Jawa Timur, Surabaya, Indonesia
(3) Food Technology Study Program, Faculty of Engineering and Science, Universitas Pembangunan Nasional "Veteran" Jawa Timur, Surabaya, Indonesia
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How to cite (AJARCDE) :
Putri, W., Hadi Munarko, & Ajeng Astrini Brahmanti. (2026). Application of Fuzzy Logic for Sensory Evaluation Analysis of Commercial Soymilks. AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment), 10(2), 519–526. https://doi.org/10.29165/ajarcde.v10i2.1097
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Soymilk is a plant-based beverage that widely consumed due to its nutritional value. However, differences in formulation among commercial products may lead to variation in sensory quality and consumer acceptance. This study evaluated the sensory characteristic and consumer preference of five commercially available soymilk using fuzzy logic approach. Sensory assessment was conducted with 26 semi-trained panellists who evaluated six quality attributes: colour, aroma, viscosity, taste, mouthfeel, and aftertaste, using linguistic scales. The collected responses were converted into triangular fuzzy numbers for analysis. The results showed that the commercial product exhibits differences in acceptance levels, with the preference ranking S4 > S2 > S3 > S5 > S1. Taste was identified as the most influential factor in consumer acceptance with a similarity value of 0,8426, followed by mouthfeel (0,8265) that categorized as highly important. Meanwhile, color (0,9702), viscosity (0,9497), aroma (0,8318), and aftertaste (0,7954) were categorized as important. These findings indicate that fuzzy logic is a useful analytical tool for handling uncertainty in sensory evaluation and can provide practical insight for the development and optimization of commercial plant-based beverages.


Contribution to Sustainable Development Goals (SDGs):
SDG 2: Sustainable Food Production And Resilient Agricultural
SDG 3: Good Health and Well-Being
SDG 12: Sustainable Management And Efficient Use Of Natural Resources

[1] P. Research, “Plant-based Food Market Size, Share and Trends 2026 to 2035.” Accessed: Apr. 28, 2026. [Online]. Available: https://www.precedenceresearch.com/plant-based-food-market#:~:text=USD 50.70 Bn,Largest Market in 2025: Europe

[2] I. Maris and M. R. Radiansyah, “Kajian Pemanfaatan Susu Nabati Sebagai Pengganti Susu Hewani,” J. Food Sci. Technol., vol. 1, no. 2, 2021, doi: 10.33830/fsj.v1i2.2064.2021.

[3] R. N. Latifah, “Analisis Pembuatan Susu Kedelai dengan Pemanis Gula Kulit Singkong Terhadap Kadar Nutrisi dan Uji AKtivitas Anti Bakteri Coliform,” Chempublish J., vol. 6, no. 2, pp. 90–102, 2023, doi: 10.22437/chp.v6i2.21711.

[4] M. Fawwaz, A. Natalisnawati, and M. Baits, “Kadar Isoflavon Aglikon pada Ekstrak Susu Kedelai dan Tempe Determination of Isoflavon Aglicone in Extract of Soymilk and Tempeh,” J. Teknol. dan Manaj. Agroindustri, vol. 6, no. 3, pp. 152–158, 2017.

[5] K. Swiader and M. Marczewska, “Trends of Using Sensory Evaluation in New Product Development in the Food Industry in Countries That Belong to the EIT Regional Innovation Scheme,” Foods, vol. 10, 2021.

[6] D. E. Nirmagustina and H. Rani, “Pengaruh Jenis Kedelai dan Jumlah Sifat Fisik, Organoleptik, dan Kimia Susu Kedelai,” J. Teknol. Ind. dan Has. Pertan., vol. 18, no. 2, pp. 168–174, 2013.

[7] C. Debjani, S. Das, and H. Das, “Aggregation of sensory data using fuzzy logic for sensory quality evaluation of food,” J. Food Sci. Technol., vol. 50, no. 6, pp. 1088–1096, 2013, doi: 10.1007/s13197-011-0433-x.

[8] M. A. A. Hafid et al., “Pendekatan Fuzzy Logic dalam Rancangan Otomatisasi Penggunaan Energi Listrik pada Sistem Pendingin Udara,” J. Elektron. dan Otomasi Ind., vol. 11, no. 2, pp. 363–375, 2024.

[9] M. I. Sesengi, J. Jumiyatun, Y. Arifin, and S. Dewi, “Sistem Pendeteksi Kualitas Air Di Sekitar Pesisir Pantai Tondo Menggunakan Metode Fuzzy Logic,” Foristek, vol. 11, no. 1, pp. 15–21, 2021, doi: 10.54757/fs.v11i1.32.

[10] R. Kumar, P. Ghosh, P. Srinivasa Rao, S. S. Rana, R. Vashishth, and K. Vivek, “Sensory evaluation of microwave assisted ultrasound treated soymilk beverage using fuzzy logic,” J. Saudi Soc. Agric. Sci., vol. 20, no. 4, pp. 257–264, 2021, doi: 10.1016/j.jssas.2021.02.005.

[11] K. H. Vishwanathan, V. Singh, and R. Subramanian, “Wet grinding characteristics of soybean for soymilk extraction,” J. Food Eng., vol. 106, no. 1, pp. 28–34, 2011, doi: 10.1016/j.jfoodeng.2011.04.002.

[12] P. Qin, T. Wang, and Y. Luo, “A review on plant-based proteins from soybean?: Health benefits and soy product development,” J. Agric. Food Res., vol. 7, p. 100265, 2022, doi: 10.1016/j.jafr.2021.100265.

[13] A. Purwanti, “Pengenalan Pembuatan Susu Sehat Bernutrisi Dari Kedelai Untuk Berwirausaha Di Dusun Blawong II Trimulyo Jetis Kabupaten Bantul,” J. Inov. Proses, vol. 3, no. 2, 2018.

[14] R. Yulifianti, S. Muzaiyanah, and J. S. Utomo, “Soybean as a functional food rich in isoflavones,” Bul. Palawijaya, vol. 16, no. 2, pp. 84–93, 2018.

[15] S. Yoon, Gun-aePark, “Antioxidant action of soy isoflavones on oxidative stress and antioxidant enzyme activities in exercised rats,” Nutr. Res. Pract., vol. 8, no. 6, pp. 618–624, 2014, doi: 10.4162/nrp.2014.8.6.618.

[16] S. Sethi and S. K. T. Rahul, “Plant-based milk alternatives an emerging segment of functional beverages?: a review,” J. Food Sci. Technol., 2016, doi: 10.1007/s13197-016-2328-3.

[17] C. Natanael et al., “Profil Sensori Sari Kecambah Kedelai Berdasarkan Sediaan Bahan Baku Dan Pemanis Menggunakan Metode Check-All- Sensory Profile of Germinated Soy-Milk from Raw Material Preparation and Sweeteners using Check-All-That-Apply ( CATA ),” J. Trop. Agrifood, vol. 8, no. 1, pp. 52–65, 2026.

[18] I. P. Tarwendah, “Jurnal Review?: Studi Komparasi Atribut Sensoris Dan Kesadaran Merek Produk Pangan Comparative Study of Sensory Attributes and Brand Awareness in Food Product?: A Review,” J. Pangan dan Agroindustri, vol. 5, no. 2, pp. 66–73, 2017.

[19] N. N. Dwiyanti and S. Winarti, “Sensory Profiling of Milkfish Otak-Otak from Gresik Regency with the Rate-All- That-Apply Method,” Asian J. Appl. Res. Community Dev. Empower., vol. 9, no. 3, 2025.

[20] X. Jin, C. Chen, S. Guo, and H. Zhang, “Analysis on physicochemical and sensory qualities of soymilk prepared by various cultivars: Application of fuzzy logic technique,” J. Food Sci., vol. 85, no. 6, pp. 1635–1641, 2020, doi: 10.1111/1750-3841.15147.

[21] V. Singh, S. Kumar, J. Singh, and A. K. Rai, “Fuzzy Logic Sensori Evaluayion of Cupcakes Developed From The Mahua Flower (Madhuca Longifolia),” JETIR, vol. 5, no. 1, pp. 411–421, 2018.

[22] J. K. Sugumar and P. Guha, “Comparative study on the hedonic and fuzzy logic based sensory analysis of formulated soup mix,” Futur. Foods, vol. 5, no. August 2021, 2022, doi: 10.1016/j.fufo.2022.100115.

[23] “INTERNATIONAL STANDARD ISO,” vol. 2023, 2023.

[24] K. Fibrianto, E. S. Wulandari, and L. M. W. P, “Studi Komparasi Efektivitas Palate Cleanser Untuk Evaluasi Sensori Produk Susu Pasteurisasi dan Turunannya,” J. Rekapangan, vol. 11, no. 1, pp. 54–61, 2017.

[25] K. Vivek, K. V. Subbarao, W. Routray, N. R. Kamini, and K. K. Dash, “Application of Fuzzy Logic in Sensory Evaluation of Food Products: a Comprehensive Study,” Food Bioprocess Technol., vol. 13, no. 1, 2020, doi: 10.1007/s11947-019-02337-4.

[26] S. Xiaodi, L. Jingyan, W. Shuming, Z. Lei, Q. Lijuan, and H. Tianfu, “Flavor characteristic analysis of soymilk prepared by different soybean cultivars and establishment of evaluation method of soybean cultivars suitable for soymilk processing,” FOOD Chem., 2015, doi: 10.1016/j.foodchem.2015.04.011.

[27] V. Sanria, R. F. Setiawan, B. Ilhan, H. Saputro, A. Nugraha, and A. Primajaya, “Fuzzy Logic Untuk Menentukan Kelayakan Dalam Jual Beli Handphone Bekas,” J. Inform. dan Tek. Elektro Terap., vol. 13, no. 3, pp. 1502–1510, 2025.

[28] V. Kumar and M. Kalpana, “Impact of different drying methods on sensory and physicochemical analysis of instant green bell pepper chutney mix,” Meas. Food, vol. 9, p. 100077, 2023, doi: 10.1016/j.meafoo.2023.100077.

[29] G. V. S. Bhagya and K. K. Dash, “Development of Hydrocolloids Incorporated Dragon Fruit Leather by conductive hydro drying?: Characterization and Sensory Evaluation,” Food Hydrocoll. Heal., vol. 2, p. 100086, 2022, doi: 10.1016/j.fhfh.2022.100086.

[30] H. Das, Food processing operations analysis. 2005.

[31] S. Florensia, “Perbandingan Kualitas Organoleptik Susu Kedelai Yang Menggunakan Metode Pengolahan Illinois dan Metode Pengolahan Pusbangtepa-IPB,” J. Gastron. Indones., vol. 8, no. 2, pp. 71–74, 2020, doi: 10.52352/jgi.v8i2.554.

[32] S.-C. Tong, L. F. Siow, and Y. Y. Lee, “Identification of Sensory Drivers of Liking of Plant- ­ Based Milk Using a Novel Palm Kernel Milk — The Effect of Reformulation and Flavors Addition Through CATA and PCA Analysis,” Food Sci. Nutr., vol. 13, pp. 1–12, 2025, doi: 10.1002/fsn3.4719.

[33] D. R. Adawiyah, N. Andarwulan, R. N. Triana, D. Agustin, and D. Gitapratiwi, “Evaluasi Perbedaan Varietas Kacang Kedelai terhadap Mutu Produk Susu Kedelai,” J. Mutu Pangan, vol. 5, no. 1, pp. 10–16, 2018.

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