Licha Aygisella

Sistem Pendukung Keputusan Untuk Penentuan Rumah Tidak Layak Huni Di Desa Lubuk Besar Kecamatan Datuk Lima Puluh Dengan Menggunakan Metode MOORA

Introduction

Sistem pendukung keputusan untuk penentuan rumah tidak layak huni di desa lubuk besar kecamatan datuk lima puluh dengan menggunakan metode moora. Optimalkan penentuan penerima bantuan rumah tidak layak huni di Desa Lubuk Besar dengan Sistem Pendukung Keputusan (SPK) dan metode MOORA yang tepat sasaran.

Abstract

Pneumonia Assistance for uninhabitable houses (RTLH) is a problem that is of serious concern to the government of Lubuk Besar Village. At the Lubuk Besar Village Office, which still uses a manual method in determining recipients of uninhabitable housing assistance, data processing has not been computerized. This assistance is obtained if the prospective beneficiary is deemed to meet the requirements and criteria that have been determined, for example: the floor is still dirt, the walls are still bamboo, the roof structure is still thatch, the land area and so on. However, the existence of problems in determining the assistance made it difficult for the selection of prospective recipients of house renovation assistance. One solution to this problem is to use a Decision Support System (SPK) that can assist the Lubuk Besar Village Office in making decisions about determining recipients of uninhabitable housing assistance (RTLH) so that they are right on target. The MOORA method is a method that optimizes many objectives based on ratio analysis. the way this method works is to determine the ranking quickly and on target and to find out the highest to lowest scores in a selection for determining uninhabitable houses in Lubuk Besar Village, Datuk Lima Puluh District

Review

This paper addresses the critical issue of identifying and assisting households living in uninhabitable conditions (RTLH) within Lubuk Besar Village, Datuk Lima Puluh District. The authors effectively highlight a significant practical problem: the current manual and uncomputerized process for determining assistance recipients, which leads to difficulties in accurately selecting beneficiaries. The abstract clearly articulates the need for a more structured and objective approach, citing specific criteria like floor, wall, and roof materials, along with land area, that are currently used but are difficult to manage manually for fair distribution. This sets a strong foundation for the proposed solution, underscoring its relevance to local governance and social welfare. To address the outlined challenges, the study proposes the development of a Decision Support System (DSS) utilizing the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method. The abstract describes MOORA as a suitable technique for this multi-criteria decision-making problem, capable of optimizing multiple objectives through ratio analysis and efficiently generating rankings. The choice of a DSS coupled with MOORA appears well-justified for its potential to streamline the evaluation process, ensure quick and on-target determination of beneficiaries, and provide clear scoring to differentiate eligible households. This methodological approach promises to bring much-needed objectivity and efficiency to a sensitive process. In conclusion, this research presents a valuable contribution by proposing a systematic solution to a pressing local community problem. By leveraging a Decision Support System with the MOORA method, the study aims to empower the Lubuk Besar Village Office to make more informed, transparent, and accurate decisions regarding the allocation of housing renovation assistance. The potential for the system to ensure assistance reaches the intended recipients "right on target" signifies a substantial improvement over the current manual process. The paper's focus on practical application and its clear articulation of problem and solution make it a commendable effort towards enhancing administrative efficiency and social equity at the village level.

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