Ferry Susanto
Departement Of Informatics Engineering, STMIK Surya Intan, Lampung

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DECISION SUPPORT SYSTEM FOR RECEIVING PKH ASSISTANCE USING THE SAW AND WP METHODS Husaeni Husaeni; Siti Mukodimah; Ferry Susanto
International Journal of Artificial Intelligence and Robotic Technology Vol 2, No 3 (2022): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v2i3.60

Abstract

Poverty in Indonesia is very concerning, therefore the government created an assistance program for poor families, namely PKH, to help determine in determining someone who is eligible to receive this assistance in Bagelen Village, a decision support system is needed because it can minimize the occurrence of errors in determining in selecting residents who wish to get PKH assistance, therefore the purpose of this research is to reduce the wrong target in making decisions in providing PKH assistance. Because there are still many decision-making errors in the provision of program assistance, Bagelen Village, Gedong Tatataan District, Pesawaran Regency, Lampung is one of the villages designated as beneficiary families whose components include school children, toddlers, pregnant women, the elderly, and those with severe disabilities. This program requires that Very Poor Households (RTSM) can follow the requirements set by the government in the program. The requirements are sending their children to education, as well as carrying out routine visits to health facilities for toddlers and pregnant women. From visits to several families receiving the PKH Program, families who receive this assistance can be said to meet the criteria desired by the Indonesian government. From PKH assistance recipients, valid data or definite data will be obtained and will soon be taken care of by the local village government. It is hoped that the data obtained can be used properly and correctly according to the needs of the families receiving PKH assistance. The author uses the SAW and WP methods to get or select which poor families are entitled to this assistance because the SAW and WP methods can calculate more easily, quickly, and precisely, can be calculated manually as well as computer systems, using these two methods require criteria for conducting an assessment, and the final result of the SAW and WP methods is to determine whether or not the PKH beneficiary is eligible or not based on the results of the calculations of the two methods
An Intelligent Decision Making System for Prospective Recipients of Cash Transfer (Bantuan Langsung Tunai) Using Simple Additive Weighting (SAW) Method Yuntriani Yuntriani; Elvia Fajarwati; Ferry Susanto
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 1 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i1.1401

Abstract

Bantuan Langsung Tunai (BLT) or cash transfer is the government's commitment to help underprivileged communities and to improve the economy along with improving the quality of life of underprivileged families. With BLT, it can help people to meet their daily needs. The responsibility of the government, especially in rural areas, is a problem which must be faced by the village administration, especially the village head. The village head has a responsibility towards the people in the village, and the village head is a government official at the village level who is tasked with distributing BLT. BLT funds are sourced from the Village Fund which has been distributed by the central government to help village communities affected by an unstable economy. This research was conducted with the aim of determining prospective recipients of BLT using the Simple Additive Weighting (SAW) method. The Simple Additive Weighting method is used because this method connects attribute values, where the value must be raised to the power of the attribute's weight value. In determining the recipient of BLT, there are many criteria which must be owned by the Community as a condition for obtaining BLT. The criteria used are the size of the house, floors, walls, toilet facilities, house electricity, water sources, cooking fuel, consumption of meat, clothing, and the number of meals per day. The recipients of BLT amounted to 29 households from 50 families. From the results of the 50 Alternative Tests, the results of V1 with a value above 0.5 as the alternative were selected as recipients of direct cash assistance.