SISTEM REKOMENDASI NEGARA TUJUAN PMI BERBASIS WEB DENGAN METODE MOORA

Abstract

This study aims to design a web‑based decision support system that recommends destination countries for Indonesian migrant workers (PMI) using the MOORA method (Multi‑Objective Optimization on the Basis of Ratio Analysis). The primary goal of this system is to help prospective PMIs select the most appropriate destination country based on multiple relevant criteria, thereby reducing subjectivity and improving decision accuracy. This study employs an analytical‑descriptive approach with an empirical design, applying the MOORA method to rank five destination countries—Taiwan, Hong Kong, Singapore, Japan, and South Korea—across six criteria: Salary, Cost of Living, Culture, Language, Safety, and Migration Process. Data were collected through observation and interviews at PT Surya Eka Perkasa as the case study. The system was developed using the Laravel framework and a MySQL database, with MOORA calculations implemented via matrix normalization and preference scoring. The results indicate that the system can process input data efficiently and generate accurate country recommendations consistent with manual calculations. The web interface also includes features for adjusting criteria and displaying results visually, making it easily accessible to both administrators and users. System evaluation was conducted using Spearman’s rank correlation to measure alignment between the system’s outputs and manual calculations, yielding a very strong correlation. In conclusion, this system has been proven valid and effective as a decision‑support tool for selecting PMI destination countries and holds potential for further development through the addition of additional evaluation factors.