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Journal : Tech-E

Application of the Weighted Product Method to Determine House Renovation Assistance in Pringsewu Regency Ponidi Ponidi; Riki Renaldo; Siti Mukodimah; Satria Abadi
Tech-E Vol 5 No 1 (2021): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v5i1.664

Abstract

The challenge faced by local governments in implementing house renovation assistance is determining which residents are eligible to receive house renovation assistance. This problem can be overcome by creating an effective and efficient assessment system for receiving house renovation assistance. By using the Weighted Product (WP) method, it is hoped that it can help simplify and speed up the performance of local governments in selecting the recipients of house renovation assistance. The function of this method is to determine the weight value for each alternative and the criteria having been determined. From the analysis of the manual system using 9 criteria/indicators, the result is that prospective recipients who have a vulnerable value of 0.03 to 0.04 are more worthy of priority for house renovation assistance. If the vulnerable value is below 0.029, the prospective beneficiaries will be reviewed for the next year's RTLH program
Decision Support System Determines The Quality Of The House In Pringsewu District Using The WASPAS Method Elisabet Yunaeti Anggraeni; Riki Renaldo; Tri Susilowati
Tech-E Vol 4 No 2 (2021): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v4i2.528

Abstract

The quality of the Flats is a concern of every citizen and related health offices who need healthy flats. To determine the quality of a flat is declared healthy or unhealthy, three criteria are used, including: housing components, housing facilities, and behavior. In this study, 5 samples were used to determine the quality of the flats, from the calculation results obtained 2 houses that were declared healthy and 3 houses were declared unhealthy. The WASPAS method is applied to determine the quality priority of healthy flats. In this study, researchers used several criteria including area, environment, infrastructure, location, security. The alternatives in this study are, Flat A, Flat B, Flat C, Flat D and Flat E. From these calculations, the results obtained from the analysis determine a healthy apartment using the WASPAS (Weight Aggregated Sum Product Assessment) method. The following: 1. Flat A gets a score of 6.0144, 2. Flat B gets a score of 6.0117, 3. Flat C gets a score of 5.5871, 4. Flat E gets a score of 5.1253. 5. Apartment D received a score of 4,8253.5. From the calculation results, the WASPAS method can be an input for the related health offices to follow up on the priority of healthy flats so that it is easier for people to choose healthy flats.