e-ISSN 2231-8542
ISSN 1511-3701
Andita Sayekti, Atris Suyantohadi, Mirwan Ushada and David Yudianto
Pertanika Journal of Tropical Agricultural Science, Volume 29, Issue 3, July 2021
DOI: https://doi.org/10.47836/pjst.29.3.46
Keywords: Grobogan soybean, product development, soymilk, value engineering
Published on: 31 July 2021
Soybean (Glycine max (L.) Merill) is protein which is cholesterol free. The objective of this study is to develop the downstream product of soybean as soymilk by attribute values. Factors of consumer needs in determining the priority level of the important attributes often have characteristics of uncertainty element and cannot be explicitly determined. The number of samples that used and representing the consumer needs is 100 respondents Special Region of Yogyakarta. This product development uses Value Engineering, while Fuzzy Logic methods uses at the information and determination stage. The results show soymilk powder attributes that are prioritized by consumers include colour, aroma, taste, price, packaging, nutrient content, and thickness. Based on the creativity stage, there are product concept with flavors original, ginger, chocolate, strawberry, and pandanus for soymilk powder development. The best concept is original flavor with the highest score of 4.68 with a performance value of 9,366.60.
Bestari, A. V., Darmanti, S., & Parman, S. (2018). Physiological responses of soybean [Glycine max (L.) Merr.] varieties Grobogan to different shade levels. Biospecies, 11(2), 53-62.
Chen, J., Wu, Y., Yang, C., Xu, X., & Meng, Y. (2017). Antioxidant and hypolipidemic effects of soymilk fermented via Lactococcus acidophilus MF204. Food & Function, 8(12), 4414-4420. https://doi.org/10.1039/C7FO00701A
da Silva Fernandes, M., Lima, F. S., Rodrigues, D., Handa, C., Guelfi, M., Garcia, S., & Ida, E. I. (2017). Evaluation of the isoflavone and total phenolic contents of kefir-fermented soymilk storage and after the in vitro digestive system simulation. Food Chemistry, 229, 373-380. https://doi.org/10.1016/j.foodchem.2017.02.095
El-Nashar, W. Y., & Elyamany, A. H. (2018). Value engineering for canal tail irrigation water problem. Ain Shams Engineering Journal, 9(4), 1989-1997. https://doi.org/10.1016/j.asej.2017.02.004
Heralova, R. S. (2016). Possibility of using value engineering in highway projects. Selected Papers from Creative Construction Conference 2016, 164, 362-367. https://doi.org/10.1016/j.proeng.2016.11.631
Kim, M. J., McKenna, H., Park, C. G., Ketefian, S., Park, S. H., Galvin, K., & Burke, L. (2020). Global assessment instrument for quality of nursing doctoral education with a research focus: Validity and reliability study. Nurse Education Today, 91, Article 104475. https://doi.org/10.1016/j.nedt.2020.104475
Krisnawati, A., & Adie, M. M. (2015). Selection of soybean Genotypes by seed size and its prospects for industrial raw material in Indonesia. The First International Symposium on Food and Agro-Biodiversity Conducted by Indonesian Food Technologists Community, 3, 355-363. https://doi.org/10.1016/j.profoo.2015.01.039
Kuntyastuti, H., & Lestari, S. A. D. (2017). Application of manure and NPK fertilizer on Grobogan variety and Aochi/W-C-6-62 soybean as promise line in lowland Vertisol Ngawi, Indonesia. Nusantara Bioscience, 9(2), 120-125. https://doi.org/10.13057/nusbiosci/n090205
Li, Y., Chen, M., Deng, L., Liang, Y., Liu, Y., Liu, W., Chen, J., & Liu, C. (2021). Whole soybean milk produced by a novel industry-scale micofluidizer system without soaking and filtering. Journal of Food Engineering, 291, Article 110228. https://doi.org/10.1016/j.jfoodeng.2020.110228
Ma, L., Li, B., Han, F., Yan, S., Wang, L., & Sun, J. (2015). Evaluation of the chemical quality traits of soybean seeds, as related to sensory attributes of soymilk. Food Chemistry, 173, 694-701. https://doi.org/10.1016/j.foodchem.2014.10.096
Martinson, K. L., Hathaway, M., Jung, H., & Sheaffer, C. (2012). The effect of soaking on protein and mineral loss in orchardgrass and alfalfa hay. Journal of Equine Veterinary Science, 32(12), 776-782. https://doi.org/10.1016/j.jevs.2012.03.007
Mazumder, M. A. R., & Hongsprabhas, P. (2016). A review on nutrient quality of soymilk powder for malnourished population. Pakistan Journal of Nutrition, 15(6), 600-606. https://doi.org/10.3923/pjn.2016.600.606
Ministry of Agriculture. (2008). Agriculture Minister Decree No: 238/Kpts/SR.120/3/2008 about Grobogan soybean. Ministry of Agriculture. Retrieved February 24, 2021, from http://en.litbang.pertanian.go.id/reshighlight/pangan/grobogan
Mustikawati, D. R., Mulyanti, N., & Arief, R. W. (2018). Productivity of soybean on different agroecosystems. International Journal of Environment Agriculture and Biotechnology, 3(4), 1154-1159. http://dx.doi.org/10.22161/ijeab/3.4.1
Nilufer-Erdil, D., Serventi, L., Boyacioglu, D., & Vodovotz, Y. (2012). Effect of soy milk powder addition on staling of soy bread. Food Chemistry, 131(4), 1132-1139. https://doi.org/10.1016/j.foodchem.2011.09.078
Ningrum, I. H., Irianto, H., & Riptanti, E. W. (2018). Analysis of soybean production and import trends and its import factors in Indonesia. IOP Conference Series: Earth and Environmental Science, 142, Article 012059. https://doi.org/10.1088/1755-1315/142/1/012059
Rouhparvar, H., & Panahi, A. (2015). A new definition for defuzzification of generalized fuzzy numbersand its application. Applied Soft Computing, 30, 577-584. http://dx.doi.org/10.1016/j.asoc.2015.01.053
Sarkar, T., Bhattacharjee, R., Salauddin, M., Giri, A., & Chakraborty, R. (2020). Application of fuzzy logic analysis on pineapple rasgulla. International Conference on Computational Intelligence and Data Science, 167, 779-787. https://doi.org/10.1016/j.procs.2020.03.410
Sui, X., Sun, H., Qi, B., Zhang, M., Li, Y., & Jiang, L. (2018). Functional and conformational changes to soy proteins accompanying anthocyanins: Focus on covalent and non-covalent interactions. Food Chemistry, 245, 871-878. https://doi.org/10.1016/j.foodchem.2017.11.090
Tan, L., Nuffer, H., Feng, J., Kwan, S. H., Chen, H., Tong, X., & Kong, L. (2020). Antioxidant properties and sensory evaluation of microgreens from commercial and local farms. Food Science and Human Wellness, 9(1), 45-51. https://doi.org/10.1016/j.fshw.2019.12.002
Toro-Funes, N., Bosch-Fusté, J., Latorre-Moratalla, M. L., Veciana-Nogués, M. T., & Vidal-Carou, M. C. (2015). Isoflavone profile and protein quality during storage of sterilised soymilk treated by ultra high pressure homogenisation. Food Chemistry, 167, 78-83. https://doi.org/10.1016/j.foodchem.2014.06.023
Toro-Funes, N., Bosch-Fusté, J., Veciana-Nogués, M. T., & Vidal-Carou, M. C. (2014). Changes of isoflavones and protein quality in soymilk pasteurised by ultra-high-pressure homogenisation throughout storage. Food Chemistry, 162, 47-53. https://doi.org/10.1016/j.foodchem.2014.04.019
Viana, J. S., Gonçalves, E. P., Silva, A. C., & Matos, V. P. (2013). Climatic conditions and production of soybean in Northeastern Brazil. In A Comprehensive Survey of International Soybean Research (p. Ch. 18). IntechOpen. https://doi.org/10.5772/52184
Wang, Q., Liu, C., Jing, Y., Fan, S., & Cai, J. (2019). Evaluation of fermentation conditions to improve the sensory quality of broomcorn millet sour porridge. LWT, 104, 165-172. https://doi.org/10.1016/j.lwt.2019.01.037
Yao, H., Zuo, X., Zuo, D., Lin, H., Huang, X., & Zang, C. (2020). Study on soybean potential productivity and food security in China under the influence of COVID-19 outbreak. Geography and Sustainability, 1(2), 163-171. https://doi.org/10.1016/j.geosus.2020.06.002
Yasin, U. A., Horo, J. T., & Gebre, B. A. (2019). Physicochemical and sensory properties of tofu prepared from eight popular soybean [Glycine max (L.) Merrill] varieties in Ethiopia. Scientific African, 6, Article e00179. https://doi.org/10.1016/j.sciaf.2019.e00179
Zikri, I., Safrida, S., Susanti, E., & Putri, R. A. (2020). Analysis of trend and determinant factors of imported soybean in the period of 2003-2022. Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering, 3(1), 17-24. https://doi.org/10.21776/ub.afssaae.2020.003.03
ISSN 1511-3701
e-ISSN 2231-8542