Decision Support System for Neglected Elderly Social Assistance Recipients Using the Weighted Product Method Beki Subaaeki, Diena Rauda Ramdania, Abraham Dwi Kurniawan, Cecep Nurul Alam
Department of Information System Sangga Buana University
Bandung, Indonesia*, Department of Informatics, UIN Sunan Gunung Djati, Bandung, Indonesia 2,3,4
Abstract
Among the people of Indonesia is an aging society, with an elderly population of around 20 million people, or 8% of the total population. The data is the governments concern to provide assistance proposals. In the process of proposing assistance, this is still done by checking one by one the documents of prospective beneficiaries and matching them with existing criteria. This method requires quite a long time and makes an error because of subjectivity. The purpose of this study was carried out to implement the Weighted Product (WP) method into a decision support system that can determine the priority proposals for recipients of neglected elderly social assistance. RUP (Rational Unified Process) used in the software development method. The final results of this study obtained a decision support system that can assist in the process of determining the ranking of recipients of abandoned social assistance proposals by using the WP method that gets an accuracy of 76.74%.
Keywords: decision support system, people neglected elderly social assistance, Weighted Product (WP)
