SENSORY EVALUATION OF PLIEK-U QUALITY USING FUZZY-TOPSIS METHOD

被引:3
|
作者
Agustina, Raida [1 ]
Mustaqimah [1 ]
Fadhil, Rahmat [1 ]
Devianti [1 ]
机构
[1] Univ Syiah Kuala, Banda Aceh, Indonesia
关键词
coconut; fermentation; quality rating; respondent; hedonic scale;
D O I
10.2478/ata-2020-0026
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The purpose of this study is to apply one of the decision-making methods, namely the fuzzy-TOPSIS method, to determine the best alternative of coconut fermentation in process of making Pliek-U, which is a typical powder made of coconut and is used for traditional cooking recipes by people in Aceh Province, Indonesia. The weight of fuzzy criteria and judgments about alternative methods of coconut fermentation was used to calculate the sensory evaluation scores and Pliek-U quality ratings. It can help to determine the quality of the Pliek-U. Sensory evaluation results for the quality of Pliek-U using the fuzzy-TOPSIS method showed that the most ideal alternative of the coconut fermentation method in the process of making Pliek-U is the 10-day coconut fermentation method, because it had the highest closeness coefficient (0.7484) in contrast to the 7-day coconut fermentation method (0.5425), and 4-day coconut fermentation method (0.3291). The fuzzy-TOPSIS method utilization was beneficial for generating the sensory multi-criteria assessment calculations through weighting, so that the process of determining consumer acceptance of the product assessed became easier and faster.
引用
收藏
页码:161 / 167
页数:7
相关论文
共 50 条
  • [31] PLANT TYPE SELECTION FOR RECLAMATION OF SARCHESHMEH COPPER MINE USING FUZZY-TOPSIS APPROACH
    Ebrahimabadi, Arash
    Alavi, Iraj
    ARCHIVES OF MINING SCIENCES, 2013, 58 (03) : 953 - 968
  • [32] FUZZY-TOPSIS method for defining optimal parameters and finding suitable sites for PV power plants
    Saeidi R.
    Noorollahi Y.
    Aghaz J.
    Chang S.
    Energy, 2023, 282
  • [33] Evaluation and selection of suppliers considering green perspectives Comparative analysis on application of FMLMCDM and fuzzy-TOPSIS
    Sahu, Anoop Kumar
    Datta, Saurav
    Mahapatra, S. S.
    BENCHMARKING-AN INTERNATIONAL JOURNAL, 2016, 23 (06) : 1579 - 1604
  • [34] Fuzzy-TOPSIS Evaluation of Power Product-Service System: A Framework Driven by Big Data
    Hu X.
    Energy Engineering: Journal of the Association of Energy Engineering, 2022, 119 (01): : 301 - 314
  • [35] LOADING-HAULAGE EQUIPMENT SELECTION IN OPEN PIT MINES BASED ON FUZZY-TOPSIS METHOD
    Bazzazi, A. Aghajani
    Osanloo, M.
    Soltanmohammadi, H.
    GOSPODARKA SUROWCAMI MINERALNYMI-MINERAL RESOURCES MANAGEMENT, 2008, 24 (04): : 87 - 102
  • [36] Robust Siting of Permeable Pavement in Highly Urbanized Watersheds Considering Climate Change Using a Combination of Fuzzy-TOPSIS and the VIKOR Method
    Seung Taek Chae
    Eun-Sung Chung
    Jiping Jiang
    Water Resources Management, 2022, 36 : 951 - 969
  • [37] Aggregation of sensory data using fuzzy logic for sensory quality evaluation of food
    Chakraborty Debjani
    Shrilekha Das
    H. Das
    Journal of Food Science and Technology, 2013, 50 : 1088 - 1096
  • [38] Research on the teaching quality evaluation of physical education with intuitionistic fuzzy TOPSIS method
    Liu, Shulin
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (05) : 9227 - 9236
  • [39] Aggregation of sensory data using fuzzy logic for sensory quality evaluation of food
    Debjani, Chakraborty
    Das, Shrilekha
    Das, H.
    JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2013, 50 (06): : 1088 - 1096
  • [40] Using Fuzzy-TOPSIS Assignment Solving Airport Ground Service Equipment Vendor Selection Problem
    Tu, Chang-Shu
    Chang, Ching-Ter
    Su, Chia-Rong
    INTERNATIONAL CONFERENCE ON HUMANITY AND SOCIAL SCIENCE (ICHSS 2014), 2014, : 216 - 222