Rio Andika, Yani Maulita, Suria Alam Syahputra

A decision support system for determining Corporate Social Responsibility (CSR) fund recipients using the dead method (Case study: PT. Ukindo Blankahan Estate)

Introduction

A decision support system for determining corporate social responsibility (csr) fund recipients using the dead method (case study: pt. Ukindo blankahan estate). This DSS uses MAUT to objectively select CSR fund recipients for PT. Ukindo Blankahan Estate. Automates selection based on criteria like location, impact & funds for efficient, accurate aid distribution.

Abstract

Corporate Social Responsibility (CSR) is a form of a company’s social responsibility to the community. PT. UKINDO Blankahan Estate faces challenges in determining CSR aid recipients because the selection process is still conducted manually, making it prone to subjectivity.This study aims to develop a Decision Support System (DSS) for determining CSR aid recipients using the Multi-Attribute Utility Theory (MAUT) method with five main criteria: location distance, proposal type, amount of funds, impact scale, and proposal value. The system was designed as a web application using PHP and MySQL.The results show that the system can automatically perform normalization, weighting, and ranking processes. In the case study of proposals for the Maulid Nabi commemoration, the highest rank was obtained by Desa Blankahan with a score of 0.71460, while the lowest rank was obtained by PRM Al-Amin with a score of 0.19170. This system proves effective in assisting the company to select CSR aid recipients more objectively, efficiently, and accurately.

Review

This paper addresses a pertinent challenge faced by companies, specifically PT. UKINDO Blankahan Estate, in managing their Corporate Social Responsibility (CSR) initiatives: the subjective and manual selection of aid recipients. The authors propose a Decision Support System (DSS) to automate and objectify this process, aiming to enhance the fairness and efficiency of CSR fund allocation. The core methodology employed for this DSS is the Multi-Attribute Utility Theory (MAUT), a well-established approach for multi-criteria decision-making. The study elaborates on the development of a web-based application, built using PHP and MySQL, designed to process and rank CSR proposals. The MAUT method is applied using five critical criteria: location distance, proposal type, amount of funds, impact scale, and proposal value. The system is demonstrated to effectively perform normalization, weighting, and ranking automatically. A practical case study involving proposals for the Maulid Nabi commemoration illustrates the system's functionality, yielding a clear ranking where Desa Blankahan secured the highest score of 0.71460, and PRM Al-Amin the lowest at 0.19170. Overall, the research successfully presents a practical solution for improving the objectivity, efficiency, and accuracy of CSR fund recipient selection at PT. UKINDO Blankahan Estate. The DSS offers a systematic approach to a previously manual and subjective task, thereby reinforcing good corporate governance in social responsibility. However, a significant inconsistency between the title and abstract requires clarification: the title explicitly mentions "using the dead method" while the abstract details the application of the "Multi-Attribute Utility Theory (MAUT) method." This discrepancy needs to be addressed to ensure clarity and coherence regarding the core methodology employed in the study.

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