Abstract
The rehabilitation program is one of the programs given to people who have homes that are not habitable. They are usually from poor families with low economic income. In this program, the family will receive funds to rehabilitate their home. However, as long as the program is running, various problems have been encountered, including those who received fund sometimes received back the fund for rehabilitation funds. This is of course not in accordance with regulations that only allow applicants to receive the fund once. Based on this problem, a decision support system was made to select potential recipients of rehabilitation funds for uninhabitable house. By using the SAW method which is based on the value of criteria and preference weights, an appropriate assessment and ranking can be obtained after going through the selection process of assessing the weight of each attribute. The support for the selection decision for receiving uninhabitable rehabilitation fund was generated in this study. Decision making to determine beneficiaries was facilitated by the existence of a decision support system that was submitted, so that the fund provided was targeted at those entitled to receive uninhabitable rehabilitation fund.
Highlights
Regional and central governments have a fundamental problem that must be considered, namely poverty
The problem of selection in a multi-process decision-making system is recommended to be solved using the Simple Additive Weighting (SAW) method
The application of Simple Additive Weighting (SAW) method in decision support systems requires criteria and weighting values and several alternatives that will be calculated in the rating and assessment process in determining the level of salary increase, as an experiment there are 5 alternative data samples that will get rehabilitation assistance
Summary
Regional and central governments have a fundamental problem that must be considered, namely poverty. The government has determined the flow in which the channel is related to the selection process in providing aid funds to rehabilitate uninhabitable homes for poor families. The method of waterfall system and the SAW method was used to develop a decision support system to assist the government of Srowot Village in providing subsidized rice to poor residents. The researchers tried to create a decision support system that could assist in assisting officers in the selection of recipients for rehabilitating uninhabitable homes For this reason, the researcher is interested in taking the title "The Implementation of Simple Additive Weighting Method in the Selection of Rehabilitation Fund Recipients for Uninhabitable Home" with a case study of Karangkemiri Village, Kemangkon District, Purbalingga Regency
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