Analysis of the Effectiveness of Topsis, Electre, and Profile Matching Algorithms to Support Managerial Decision Making at Al Azhar Memorial Garden

Abstract

The funeral industry faces hurdles in intricate decision-making processes owing to technological improvements and evolving consumer preferences. This study seeks to assess the efficacy of the TOPSIS, ELECTRE, and Profile Matching algorithms in improving managerial decision-making in Al Azhar Memorial Garden. The questionnaire and interview data were employed under the theoretical framework of the Theory of Planned Behavior to comprehend customers' perceptions. The results gathered from the questionnaire and interview will be used to develop multiple viable marketing strategies as potential alternatives for reaching consumers. The alternatives obtained from the questionnaire and interview will be evaluated using TOPSIS, ELECTRE, and Profile Matching methods. Deterministic modelling will be utilized to assess the efficacy and precision of each algorithm. This study assesses the viability of consolidating the three algorithms into a cohesive system to improve future decision-making processes. Based on the TOPSIS method, it is shown that "Personalization of Services," "Online Booking System," and "Limited-Time Promotions" emerged as the most effective tactics according to consumer preferences.