Profil Sensori Keripik Kentang Berdasarkan Check-All-That-Apply dan Ideal Profile Method
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check-all-that-apply, ideal sensory attributes, ideal profile method, potato chips
Abstract
The snack industry has shown a stable increment for years and still has great potential for further increase. Potato chips rank second in sales volume in the snack industry, with an increase of 10.7% in 2022 compared to the previous year, propelling the manufacturers to compete in launching competitive products in the market. To minimize the failure rate of new products, the knowledge of ideal sensory profile and attributes of potato chips is needed. Check-all-that-apply and ideal profile method are consumer perspective-based sensory profiling methods that provide a better understanding of a product’s sensory profile and ideal attributes. Three of the most consumed potato chips brands were used as benchmarks to determine the ideal sensory profile of potato chips with beef BBQ flavor. The result showed that the ideal attributes of potato chips consist of beef aroma and flavor, smokey aroma and flavor, savory taste, hardness, and crispness. These findings might help in developing more ideal-like potato chips and positively affecting consumers’ overall liking of the product. The result of sensory profile testing with consumers, particularly IPM, strongly correlated with the scoring attributes test conducted by selected panelists. There were sensory profile differences observed among the three samples used, which could be attributed to variations in raw materials and the processing technology used during production.
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References
Abdi, H., & Williams, L. J. (2010). Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), 433–459. https://doi.org/10.1002/wics.101
Alcaire, F., Antúnez, L., Vidal, L., Zorn, S., Giménez, A., Castura, J. C., & Ares, G. (2017). Comparison of static and dynamic sensory product characterizations based on check-all-that-apply questions with consumers. Food Research, 97, 215–222. https://doi.org/10.1016/j.foodres.2017.04.012
Anselmsson, J., Vestman Bondesson, N., & Johansson, U. (2014). Brand image and customers' willingness to pay a price premium for food brands. Journal of Product & Brand Management, 23(2), 90–102. https://doi.org/10.1108/JPBM-10-2013-0414
Ares, G., Barreiro, C., Deliza, R., Gimenez, A., & Gambaro, A. (2010). Application of a check-all-that-apply question to the development of chocolate milk desserts. Journal of Sensory Studies, 25(1), 67–86. https://doi.org/10.1111/j.1745-459X.2010.00290.x
Ares, G., Varela, P., Rado, G., & Giménez, A. (2011). Identifying ideal products using three different consumer profiling methodologies, comparison with external preference mapping. Food Quality and Preference, 22(6), 581–591. https://doi.org/10.1016/j.foodqual.2011.04.004
Ares, G., Dauber, C., Fernández, E., Giménez, A., Varela, P. (2014). Penalty analysis based on CATA questions to identify drivers of liking and directions for product reformulation. Food Quality and Preference, 32, 65–76. https://doi.org/10.1016/j.foodqual.2013.05.014
Ares, G. & Jaeger, S. R. (2015). Check-all-that-apply (CATA) questions with consumers in practice: experimental considerations and impact on outcome. In J. Delarue, J. B. Lawlor, & M. Rogeaux (Eds.), Rapid sensory profiling techniques: Applications in new product development and consumer research (pp 227-245). Woodhead Publishing. https://doi.org/10.1533/9781782422587.2.227
[BPOM] Badan Pengawas Obat dan Makanan. (2023). Peraturan Badan Pengawas Obat dan Makanan Nomor 13 Tahun 2023 tentang Kategori Pangan. Jakarta: Badan Pengawas Obat dan Makanan.
[BPS] Badan Pusat Statistik Provinsi DKI Jakarta. (2024). Jumlah Penduduk Menurut Kabupaten/Kota di Provinsi DKI Jakarta (Jiwa), 2021-2023. Diakses pada 04 Agustus 2024. https://jakarta.bps.go.id
Barlagne, C., Cornet, D., Blazy, J. M., Diman, J. L., & Ozier-Lafontaine, H. (2016). Consumers' preferences for fresh yam: a focus group study. Food Science & Nutrition, 5(1), 54–66. https://doi.org/10.1002/fsn3.364
Bécue-Bertaut, M., & Pagès, J. (2008). Multiple factor analysis and clustering of a mixture of quantitative, categorical and frequency data. Computational Statistics & Data Analysis, 52(6), 3255–3268. https://doi.org/10.1016/j.csda.2007.09.023
Boquin, M. M., Moskowitz, H. R., Donovan, S. M., & Lee, S.‐Y. (2014). Defining perceptions of picky eating obtained through focus groups and conjoint analysis. Journal of Sensory Studies, 29(2), 126–138. https://doi.org/10.1111/joss.12088
Castura, J. C., Antúnez, L., Giménez, A., & Ares, G. (2016). Temporal check-all-that-apply: a novel dynamic method for characterizing products. Food Quality and Preference, 47, 79–90. https://doi.org/10.1016/j.foodqual.2015.06.017
Chamgordani, P. A., Firouz, M. S., Omid, M., Hadidi, N., & Aghajani, P. F. (2024). Dual-stage ultrasound in deep frying of potato chips; effects on the oil absorption and the quality of fried chips. Ultrason Sonochem, 103, 106779. https://doi.org/10.1016/j.ultsonch.2024.106779
Cuong, D. T. (2022). The relationship between product quality, brand image, purchase decision, and repurchase intention. In M. Al-Emran, M. A. Al-Sharafi, M. N. Al-Kabi, & K. Shaalan (Eds.), Proceedings of International Conference on Emerging Technologies and Intelligent Systems. ICETIS 2021 (Lecture Notes in Networks and Systems, Vol. 299). Springer, Cham. https://doi.org/10.1007/978-3-030-82616-1_44
Dehlholm, C., Brockhoff, P. B., Meinert, L., Aaslyng, M. D., & Bredie, W. L. P. (2012). Rapid descriptive sensory methods – Comparison of free multiple sorting, partial napping, napping, flash profiling and conventional profiling. Food Quality and Preference, 26(2), 267–277. https://doi.org/10.1016/j.foodqual.2012.02.012
Dhital, S., Baier, S. K., Gidley, M. J., & Stokes, J. R. (2018). Microstructural properties of potato chips. Food Structure, 16, 17–26. https://doi.org/10.1016/j.foostr.2018.03.001
Dijksterhuis, G. (2016). New product failure: five potential sources discussed. Trends in Food Science & Technology, 50, 243–248. https://doi.org/10.1016/j.tifs.2016.01.016
Esmerino, E. A., Tavares Filho, E. R., Carr, B. T., Ferraz, J. P., Silva, H. L. A., Pinto, L. P. F., Freitas, M. Q., Cruz, A. G., & Bolini, H. M. A. (2017). Consumer-based product characterization using pivot profile, projective mapping and check-all-that-apply (CATA): A comparative case with Greek yogurt samples. Food Research International, 99(Part 1), 375–384. https://doi.org/10.1016/j.foodres.2017.06.001
Gaytancıoğlu, O., Yılmaz, F., & Geçgel, Ü. (2024). The effect of fatty acids profile in potato and corn chips on consumer preferences. Foods, 13(20), 3292. https://doi.org/10.3390/foods132 03292
Gomide, A. I., de Cássia dos Santos Navarro Silva, R., Nascimento, M., Minim, L. A., & Minim, V. P. R. (2021). Study of the influence of line scale length (9 and 15 cm) on the sensory evaluations of two descriptive methods. Journal of Food Science and Technology, 58(7), 2815–2824. https://doi.org/10.1007/s13197-020-0489 0-9
Gunaratne, M. T., Fuentes, S., Toricco, D. D., Viejo, G. C., & Dunshea, R. F. (2019). Physiological response to basic tastes for sensory evaluation of chocolate using biometric techniques. Foods, 8(243), 243. https://doi.org/10.3390/foods8070243
Guine, R. F. P., Florenca, S. G. Barroca, M. J., & Anjos, O. (2020). The link between the consumer and the innovations in food product developmenti. Foods, 9(9), 1317. https://doi.org/10.3390/foods9091317
He, W., & Chung, H. Y. (2019a). Comparison between quantitative descriptive analysis and flash profile in profiling the sensory properties of commercial red sufu (Chinese fermented soybean curd). Journal of the Science of Food and Agriculture, 99(6), 3024–3033. https://doi.org/10.1002/jsfa.9516
He, W., & Chung, H. Y. (2019b). Multivariate relationships among sensory, physicochemical parameters, and targeted volatile compounds in commercial red sufus (Chinese fermented soybean curd): Comparison of QDA® and Flash Profile methods. Food Research International, 125, 108548. https://doi.org/10.1016/j.foodres.2019.108548
Hunaefi, D., & Farhan, Z. M. (2021). Karakterisasi sensori cheese tea dengan metode check all that apply (CATA), emotional sensory mapping (ESM), dan ideal profile method (IPM). Jurnal Mutu Pangan: Indonesian Journal of Food Quality, 8(1), 1–9. https://doi.org/10.29244/jmpi.2021.8.1.1
Hunaefi, D., & Marusiva, W. (2021). Sensory profile of 3 in 1 instant coffee using emotional-sensory mapping, flash profile, and CATA (Check-All-That-Apply) methods. Jurnal Teknologi dan Industri Pangan, 32(2), 169–180. https://doi.org/10.6066/jtip.2021.32.2.169
Hunaefi, D., Zahidah, I., Hanifa, Z. N., Fuhrmann, P., & Smetanska, I. (2022). Consumer preference of food pairing tea: sensory approach. Canrea Journal: Food Technology, Nutritions, and Culinary, 5(2), 219-231. https://doi.org/10.20956/canrea.v5i2.714
[ISO] International Organization for Standardization. (2023). Sensory Analysis – Selection and Training of Sensory Assessors. Geneva: ISO
Jamanca-Gonzales, N. C., Ocrospoma-Dueñas, R. W., Quintana-Salazar, N. B., Siche, R., & Silva-Paz, R. J. (2022). Influence of preferments on the physicochemical and sensory quality of traditional panettone. Foods, 11(17), 2566. https://doi.org/10.3390/foods11172566
Jeong, S., & Lee, J. (2021). Effects of cultural background on consumer perception and acceptability of foods and drinks: A review of latest cross-cultural studies. Current Opinion in Food Science, 42, 248-256. https://doi.org/10.1016/j.cofs.2021.07.004
Kongstad, S., & Giacalone, D. (2020). Consumer perception of salt-reduced potato chips: Sensory strategies, effect of labeling and individual health orientation. Food Quality and Preference, 81, 103856. https://doi.org/10.1016/j.foodqual.2019.103856
Kwak, H. S., Chang, Y. H., & Lee, Y. (2015). Estimation of crispness and consumer acceptance of fried potato chips by mechanical and acoustic measurements. International Journal of Food Science and Technology, 50(2), 500–506. https://doi.org/10.1111/ijfs.12696
Lee, S. H., & Lee, Y. (2020). Sensory profiles and hedonic perception of commercial potato chips under blind and informed consumer tests. Emirates Journal of Food and Agriculture, 32(7), 543–549. https://doi.org/10.9755/ejfa.2020.v32.i7.2123
Lee, S., Kwak, H. S., Kim, S. S., & Lee, Y. (2021). Combination of the Check-All-That-Apply (CATA) method and Just-About-Right (JAR) scale to evaluate Korean traditional rice wine (yakju). Foods, 10, 1895. https://doi.org/10.3390/foods10081895
Linh, N., Hang, V. T. M., Tu, H. D., & Phu, T. V. (2014). Ideal profile method: an application on rice cracker in Vietnam. Journal of Science and Technology, 52(5C), 6–13.
Meyners, M., Jaeger, S. R., & Ares, G. (2016). On the analysis of rate-all-that-apply (RATA) data. Food Quality and Preference, 49(11), 1–10. https://doi.org/10.1016/j.foodqual.2015.11.003
Miranda, M. L. & Aguilera, J. M. (2006). Structure and texture properties of fried potato products. Food Reviews International, 22(2), 173–201. https://doi.org/10.1080/87559120600574584
Nielsen. (2023). Laporan Rank dan Top 10 Snack. The Nielsen Company.
Pawase, P. A., Veer, S. J., & Chavan, U. D. (2019). Studies on effect of different packaging materials on shelf life of mix fruit bar. International Journal of Food Science and Nutrition, 4(5), 156–162.
Pedreschi, F., & Moyano, P. (2005). Effect of pre-drying on texture and oil uptake of potato chips. LWT Food Science and Technology, 38(6), 599–604. https://doi.org/10.1016/j.lwt.2004.08.008
Pineau, N., Girardi, A., Lacoste Gregorutti, C., Fillion, L., & Labbe, D. (2022). Comparison of RATA, CATA, sorting and Napping® as rapid alternatives to sensory profiling in a food industry environment. Food Research International, 158, 111467. https://doi.org/10.1016/j.foodres.2022.111467
Plaehn, D. (2012). CATA penalty/reward. Food Quality and Preference, 24, 141–152. https://doi.org/10.1016/j.foodqual.2011.10.008
Reinbach, H. C., Giacalone, D., Ribeiro, L. M., Bredie, W. L. P., & Frost, M. B. (2014). Comparison of three sensory profiling methods based on consumer perception. Food Quality and Preference, 32(2014), 160–166. https://doi.org/10.1016/j.foodqual.2013.02.004
Ruiz-Capillas, C., Herrero, A. M., Pintado, T., & Delgado-Pando, G. (2021). Sensory analysis and consumer research in new meat products development. Foods (Basel, Switzerland), 10(2), 429. https://doi.org/10.3390/foods10020 429
Rutkowski, I. P. (2022). Success and failure rates of new food and non-food products introduced on the market. Journal of Marketing and Consumer Behaviour in Emerging Markets, 1(14), 52–61. https://doi.org/10.7172/2449-6634.jmcbem.202 2.1.4
Saldaña, E., Samán, C., Saldaña, J., & Ambrosio, C. M. S. (2021). Non-sensory factors driving the packaging design of ready-to-eat mazamorra morada based on consumer perception. Scientia Agropecuaria, 12(3), 421–428. https://doi.org/10.17268/sci.agropecu.2021.046
Salvador, A., Varela, P., Sanz, T., Fiszman, S. M. (2009). Understanding potato chips crispy texture by simultaneous fracture and acoustic measurements, and sensory analysis. LWT - Food Science and Technology, 42(3), 763–767. https://doi.org/10.1016/j.lwt.2008.09.016
Sandvik, P., Laureati, M., Jilani, H., Methven, L., Sandell, M., & Hörmann-wallner, M. (2021). Descriptions and preferences for high-fibre biscuits. Foods, 21(10), 21. https://doi.org/10.3390/foods10010021
Seisonen, I., Vene, K., & Koppel, K. (2016). The current practice in the application of chemometrics for correlation of sensory and gas chromatographic data. Food Chemistry, 210, 530–540. https://doi.org/10.1016/j.foodchem.2016.04.134
Siddiqui, S. A., Bahmid, N. A., Karim, I., Mehany, T., Gvozdenko, A. A., Blinov, A. V., Nagdalian, A. A., Arsyad, M., & Lorenzo, J. M. (2022). Cultured meat: processing, packaging, shelf life, and consumer acceptance. LWT, 172, 114192. https://doi.org/10.1016/j.lwt.2022.114192
Siegrist, M., & Hartmann, C. (2020). Consumer acceptance of novel food technologies. Nature Food, 1, 343–350. https://doi.org/10.1038/s43016-020-0094-x
Statista (2025). Market Insights: Potato Chips in Indonesia. https://www.statista.com/outlook/cmo/food/confectionery-snacks/snack-food/potato-chips/indonesia?currency=USD [Mar 14th 2025].
Swiader, K., & Marczewska, M. (2021). Trends of using sensory evaluation in new product development in the food industry in countries that belong to the EIT regional innovation scheme. Foods, 10(2), 446. https://doi.org/10. 3390/foods10020446
Tokiman, N. A., Rahman, N. H. A., Hajar, N., Mohamad, N., Munawar, N., & Rahim, N. H. A. (2019). The effects of different packaging materials on physicochemical and sensorial properties of rempeyek. Journal of Academia, 7(2), 20–29. https://doi.org/10.24191/jfast.v7i2.7182
Vaitkeviciene, N., Jarienė, E., Kulaitienė, J., & Levickienė, D. (2022). The physico-chemical and sensory characteristics of coloured-flesh potato chips: influence of cultivar, slice thickness and frying temperature. Applied Sciences, 12(3), 1211. https://doi.org/10.3390/app12031211
Worch, T., & Punter, P. H. (2015). Ideal profiling as a sensory profiling technique. In J. Delarue, J. B. Lawlor, & M. Rogeaux (Eds.), Rapid sensory profiling techniques: Applications in new product development and consumer research (pp 307-332). Woodhead Publishing. https://doi.org/10.1533/9781782422587.2.307
Yasa, I. K., & Adawiyah, D. R. (2017). Evaluasi profil sensori sediaan pemanis komersial menggunakan metode Check-All-That-Apply (CATA). Jurnal Mutu Pangan, 4(1), 23–29.
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Copyright (c) 2025 Paulina Gandhes Dian Krisjati, Nuri Andarwulan, Dede Robiatul Adawiyah
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