Penerapan Fuzzy SAW untuk Rekomendasi Penentuan Penerima Bantuan Pembangunan Rumah Tidak Layak Huni

Abstract

Construction of Non-Habitable Homes (RTLH) is a government program managed by thesupervision of the Social Service (Dinas Sosial) in the form of housing construction assistancefunds for the poor. In its realization, assistance is still often found to be lacking on target. It isbecause the determination of beneficiaries is not correctly selected, and there are no standardmethods based on existing criteria. These problems require a system that can providerecommendations that conform to clear standards and use techniques that accounted. FuzzySimple Additive Weighting (SAW) method is one method used in decision making. This methodcalculates criteria to get ranking weights to support decision making. The process of selectingcriteria and determining fuzzy variables carried out as a primary process in this method. Afterthe fuzzification weight value obtained, ranking done to use as a reference in the decision makingof recipients. Based on the results of manual testing, the system made is under the effects ofmanual calculations with a level of accuracy reaching 100%, so that implemented as a basis formaking decisions. While testing, the black box system found that all the requirements tested canrun following the overall system functionality. With this recommendation system, it can help thedecision to find the recipients of the Fund for Non-Occupable Homes Construction Assistanceso that it is more targeted.

Study Determination About Receivers of Support for Rehabilitation "The Houses Unhabitable" in Slum Area, Indonesia

“…Various parties have made various house repair aids by establishing criteria as a standard for determining beneficiaries so that they are right on target. The criteria for receiving uninhabitable houses assistance are not more precise in considering the uninhabitable houses, economic conditions and legality (Ardiansyah et al, 2020;Arzian et al, 2020;Danik, 2014;Fauzi, 2016;Harianja & Lumbantoruan, 2019;Irawan et al, 2018;Kuswandhie & Primadasa, 2019;Mardiati & Oktafianto, 2017;Mursyidin & Rusdah, 2020;Nalatissifa & Ramdhani, 2020;Puteri & Notobroto, 2017;Satria & Tambunan, 2020;Sevrianda & Putri, 2018;Simatupang & Wuryandari, 2016;Sundari et al, 2019;Tumanggor et al, 2018;Yetri, 2020). The characteristics of uninhabitable houses review comprehensively from the physical point of view of the house building, starting from the area of the building, walls, roofs, floors, building structures, foundations, types of houses, toilets, building lighting, clean water, distance from water and electricity sources.…”

“…FMDAM technique aims to determine the results of selecting each data alternative (Satria & Tambunan, 2020). While the Simple Additive Weighting (SAW) method of analysis technique is used to determine decisions with many criteria, and to take into account every form of alternative data available (Arzian et al, 2020;Irawan et al, 2018;Mursyidin & Rusdah, 2020). The two approaches to academia are carried out because these two approaches are suitable in selecting data with a large number of criteria, such as the criteria for uninhabitable houses.…”

“…Bayes is a simple probability-based prediction technique by performing the Naïve Bayes classification with the highest last probability from each class (Simatupang & Wuryandari, 2016). The Simple Additive Weighting (SAW) method apart from being a selection, can be continued with weighting by calculating the criteria in order to get the weight of the ranking weight in supporting decision making (Arzian et al, 2020). Whereas in the SMARTER Method, it is also used to give weight to each criterion for determining aid recipients (Kuswandhie & Primadasa, 2019).…”

Group Decision Support System for Determining the Eligibility of Providing Housing Assistance to Poor Families

“…Selanjutnya Pemerintah banyak memberikan bantuan kepada masyarakat miskin melalui banyak program diantaranya PKH (Program Keluarga Harapan) dan bantuan renovasi rumah. kemudian bantuan tersebut dapat meningkatkan kesejahteraan bagi masyarakat dengan bantuan rehap rumah yang tidak mungkin ditinggal [4]. monitoring dalam melihat pembagian rumah sangat penting untuk kualitas pemberian tepat sasaran [5].…”

Penerapan Metode FSAW untuk Pengangkatan Karyawan Tetap di PT. HI-LEX Indonesia

“…Beberapa penelitian yang dijadikan referensi oleh penulis dalam penelitian adalah mengenai pemberian rekomendasi penerima bantuan rumah tidak layak huni dengan kriteria yang difuzzikan adalah jenis dinding menjadi tembok halus, batu bata, papan triplek dan anyaman bamboo, melalui pendekatan fungsi keanggotaan campuran antara segitiga dan trapezium didapatkan bahwa antara data masukkan dengan hasil yang diharapkan didapatkan hasil yang sesuai [3]. Fuzzy SAW juga pernah digunakan untuk pemilihan SD berbasis Islam di daerah Pangkalpinang, dimana bobot bilangan fuzzy yang digunakan adalah 1 untuk banyak; 0,8 untuk tinggi; 0,6 untuk tengah; 0,4 untuk sedang; 0,2 untuk rendah serta 0 untuk sangat rendah [4].…”