Revealing the Advantages of the Best Cooking Oil Brand: A Case Study of Weighted Aggregated Sum Assessment (WASPAS) Method in Decision Support System

ABSTRACT


INTRODUCTION
Today, and especially in tropical countries, palm oil holds an important place among vegetable oils [1], [2].From FAS-USDA (Foreign Agricultural Service -U.S Dapartement Of Agriculture) data for developing countries like Indonesia, it accounts for most of the world's palm oil production at 59%, with about 45.5 tons exported in the period 2022/2023.Palm oil can be used as a base material for making various products, such as making biolubricants or lubricants [3][4] [5] [6], biodiesel [7][8] [9], transparent soap [10] [11] [12], and even its waste can be used for biogas energy generation [13][14] [15].In addition, palm kernel marks can also be used to make biofertilizers [16][17] [18].In this article, we will focus on cooking oil from palm oil.
Cooking oil is one of the staple ingredients in the cooking process that is very commonly used in various dishes.However, the many brands and varieties of cooking oil in the market may cause consumers to be confused in choosing the one that suits their needs and preferences.Choosing the right cooking oil is important considering the role of cooking oil in influencing flavor, nutritional quality, and health impacts [20] [21].
For its various uses in cooking, cosmetics and soap factories, palm oil must be refined first [1].In the cooking oil processing process consists of a refining process and a fractionation process.For the oil produced from the refining process consists of a liquid fraction and a solid fraction, in this frakctionation process, the solid fraction is separated from the liquid fraction [23], [24].Some of the best-selling cooking oil brands on the market include Sari Murni, Bimoli, Sanco, and many others.
Due to the large number of cooking oil brands available, a decision support system (DSS) is needed to determine the best cooking oil [25], using criteria [26][27], such as color, taste, saturated fat, and price.In this article, the Weighted Aggregated Sum Assessment (WASPAS) method is used to provide accurate and useful recommendations for consumers [28] [29] in choosing the best option for their daily cooking needs.In this article, eight brands of cooking oil will be used, including Sari Murni, Tawon, Fortune, Bimoli, Sanco, Rose Brand, Kuwali, and Tropical.

RESEARCH METHOD
Weighted Aggregated Sum Assessment (WASPAS) is one of the techniques that belong to the stream of multicriteria decision-making techniques [30].It is based on the merger of two methods, namely the Weighted Sum Model (WSM) and the Weighted Product Model (WMP).The WASPAS method combines the advantages of both methods.For the WSM method, the advantage is the easy evaluation of alternatives using weighted sum.For the WMP method, the advantage is to prevent low-value solutions from being obtained.In 2016, the use of interval type-2 fuzzy sets in the WASPAS method was proposed [31].Work steps of the WASPAS method [32] [33].
a. Determining Criteria, Weights, and Alternatives b.Create a decision matrix (1), (1) P.ISSN: 2086 -4981 E.ISSN: 2620 -6390 tip.ppj.unp.ac.id c.Calculating the matrix normalization value and WASPAS weight in decision making.Where the formula used: • Cost Criteria ( 3) d. Calculate the Qi value from normalization and weights, and also perform a ranking based on the highest Qi value using formula (4): (4) e.The last step is to rank the highest Qi values.

RESULTS AND DISCUSSION
In this study, the type of cooking oil used is palm oil.Where the brand of cooking oil in this study is a brand that is often used, especially in the city of Padang.These brands include Sari Murni, Tawon, Fortune, Bimoli, Sanco, Rose Brand, Kuwali, and Tropical.The number of cooking oil brands on the market makes it difficult for people to determine the best brand.For price data adjusted at the time of the research, December 2022 and prices are seen from the selling prices at TransMart Padang and 2Mart minimarkets in Padang city.

Criteria, Data Weights, dan Alternatives
The series of matches for the criteria of Color, Taste, Saturated Fat, and Price are: Point 3 = Very Good, Point 2 = Good, and Point 1 = Fair The following is Table 2. for the weighting of the color criteria.

Creating a Decision Matrix
After the weights of the Color and Taste criteria are determined, then proceed with making the Alternative and Criteria match table.

Ranking of the Highest Qi Value
The last step is to perform ranking based on the highest Qi value.From table 10 above, it can be seen that alternative A4 with the description Bimoli has the highest Qi value of 0.9162, so it is concluded that alternative A4 or Bimoli was chosen as the best cooking oil among the eight alternatives or other cooking oil brands.

CONCLUSION
Based on the results obtained, the following conclusions can be drawn: (1) The decision support system can determine the best cooking oil quickly and easily, (2) The results obtained become more objective so that it is more accurate in determining the best cooking oil, (3) Determination of the weight of the criteria used greatly affects the calculation results of the WASPAS method.

Table 1 .
Criteria and Weight Data

Table 3 .
The Weighting of Color Criteria

Table 5 .
Suitability of Alternatives and Criteria