Decision Support System for Deciding Eligible Journals to be Published in Majalah Kedokteran Nusantara Using the Fuzzy Logic Method

Suzuya superstore is one of the marketers of human needs products that have various types of products. Suzuya already has several branches in Indonesia which are located in North Sumatra, Aceh, West Sumatra, and Riau. Suzuya was founded in 1983 and currently suzuya already has more than 22 outlets, one of which is in Pematangsiantar. Suzuya superstore Pematangsiantar has employees who are divided into several teams, one of which is the cashier team. The cashier team is the spearhead of the sale of focus items, where the focus item is the flagship product of suzuya superstore Pematangsiantar. The cashier team is also responsible for the sales transaction service process at suzuya superstore Pematangsiantar. The existence of incentives can motivate the work spirit of the cashier team in increasing sales, work speed, and good transaction processing service attitude at suzuya superstore Pematangsiantar. In determining the feasibility of the cashier team receiving incentives at suzuya superstore Pematangsiantar, three variables were used, namely sales of focus items, assessment of work attitudes, and assessment of work speed. Based on the results of processing the cashier team's data using the fuzzy logic algorithm, the Sugeno method, manually and using Matlab software, there was no significant difference. So that Fuzzy Logic with the Sugeno method can be used to determine employee incentives at suzuya superstore Pematangsiantar

Section: Figure 1 Research Designmentioning

confidence: 99%

Application Of Sugeno Fuzzy Logic In The Determination Of Employee Incentives

Fernandez Erik Napitu

2022

“…Mie Akwang. Several previous studies that used fuzzy logic methods in solving noodle production problems, including [6], [7] in his research concluded that fuzzy logic can increase the efficiency and effectiveness of production figures and sales figures are more stable and can reduce losses caused by the tendency of differences in production and sales figures. noodle sales assisted using the Fuzzy Logic application.…”

Section: Introductionmentioning

confidence: 99%

Application of The Fuzzy Tsukamoto Method in Determining Household Industry Products

Pasaribu

Hardinata

Qurniawan

2021

Production system at UD. Mie Akwang is a home industry that provides raw materials for noodle production. Uncertain consumer demand and supplies that are not in accordance with demand make it difficult for this industry to determine the amount of production that will be produced. Previously, this home industry did not have a valid rule to determine the amount of production that must be achieved. Therefore, a decision support system was developed using the Fuzzy Tsukamoto method. This method is the right method in making decisions that use several criteria to produce decisions on the amount of production. In this study, the data used is in the form of data on the amount of production in April 2021. From the calculation process that has been carried out, it can be concluded that if the demand is 28,950 portions and the supply is 30,000 portions, the total production produced is 31,207 portions. The results of these calculations are implemented in the form of a production system and the results obtained are the same, namely 31,207 portions.

“…In a study conducted by [11], it was concluded that the Fuzzy Sugeno method is better than the fuzzy Tsukamoto method in calculating the prediction of ordering Jordan bread because the Sugeno method has an average prediction accuracy rate of 0.0176% while the truth level the average prediction of the tsukamoto method is 0.504288%. Research conducted by [12] concluded that fuzzy logic with the Sugeno method can be used to help residents decide the best price for choosing the land used in the construction of minimarkets and be able to assess near or far distances that can determine the selling price of the land [13].…”

Section: Introductionmentioning

confidence: 99%

Application Of Sugeno's Fuzzy Inference System In Determining Inventory Goat Milk

Sahara

2022

Goat milk is one of the milk that is traded by the community because this milk has many benefits that are good for the health of the body and prevent bone damage in old age. Thalebkawnhinca Farm is a business that trades goat's milk both per liter and per pack. The erratic supply of goat's milk causes consumer demand cannot be fulfilled and the milk sales process becomes hampered. Therefore, this study aims to apply fuzzy logic with the Sugeno method in determining the amount of goat milk supply at Thalebkawanhinca Farm based on data on demand and sales of milk in April 2021. Based on data on demand and sales of goat's milk, the amount of milk supply that must be added if known demand of 90 liters and sales of 75 liters amounted to 25.1953125 liters. The result of this research is the implementation of a milk supply system that can be used in determining and providing information on the amount of goat's milk supply to the owner of the Thalebkawanhinca Farm.