Decision Support System for Selection of Zakat Mustahik Using Analytical Network Process Method

Indonesia as a country with the largest Muslim population in the world has a very large potential for state revenue from zakat instruments. Zakat as a financial distribution can be used to reduce poverty and improve the welfare of the people, whereby the property can be distributed to eligible individuals. To achieve this goal, it is necessary to distribute zakat that is fair and in accordance with the needs of mustahik. The existence of determining indicators to assess the level of welfare of mustahik is needed for the proper distribution of zakat. Decision support system for selection of zakat mustahik is used by amil zakat institution as decision makers to assist in decision making. Based on flexibility and eficiency, the Analytical Network Process (ANP) method is more reliable than Analytic Hierarchy Process (AHP) method and other multi criteria decision making methods. ANP is superior to AHP in simplicity, connectivity, more objective comparisons, more accurate predictions, more stable results and robust. Therefore, in this study we use ANP method to determine the best mustahik priority scale with health and wealth criteria. The sub-criteria for health are family head’s health condition, condition of pregnant women, serious illness, and medical ability. While the sub-criteria of wealth are income, job, age, the number of dependents, number of children attending school, item ownership, and home condition. The stages of this research are problem identification, data collection, design of priority determination methods, decision support system using ANP, and implementation. Based on the results we obtained that the order of priority of the mustahik which is A1, A2 and A3. This value data is taken directly from the supermatrix boundary which is the highest normal value of 0,48496 achieved by A1 as the best mustahik.