Decision Support System for SEJOLI Basic Food Recipients (Sedekah Joglo Peduli) Using Fuzzy Logic and Simple Weighting Methods (Case Study of Joglo Village, Surakarta City)

Rafika Agtrisa Rafika Agtrisa Ramadhani, Siti Rokhmah, Muqorobin Muqorobin

Abstract


Alms Joglo Peduli is the distribution of basic necessities managed in Jaoglo Village to underprivileged Joglo residents, the elderly who are experiencing the ailments of aging in the Joglo Village area. The background to this thesis research is based on the results of initial observations and interviews that the author conducted with employees of Joglo Village, Surakarta City, where they experienced problems in determining recipients of Sejoli aid. Lovebirds' assistance is still done manually so it is not efficient when determining aid recipients so that the target recipients of aid are less precise. So an innovative design is needed that utilizes technological advances, one of which is the design of a Decision Support System for website-based selection of Sejoli aid recipients combined with fuzzy methods and Simple Additive Weighting which can handle different decisions by considering the subject matter and the validity of the selected criteria. And there is a weighted sum using the Simple Additive Weighting method to find the performance assessment results for each option in all the evaluated attributes. The results of the research conducted by the author show that there is a strong level of relationship between the Decision Support System using the Fuzzy calculation method and Simple Additive Weighting. From the results of the data calculation scores, the highest recipients of Sejoli basic food assistance showed value 2,659. Based on the results of the analysis and conclusions in the discussion chapter, the author makes the following suggestions: It is necessary to add input data on citizen criteria which have been automatically converted into fuzzy numbers, adding variables to produce more specific recommendations for citizens who are entitled to receive assistance.


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