Muhammad Faisal
Department of Informatics, Universitas Muhammadiyah Makassar, PII BK-Informatika, Makassar, South Sulawesi, Indonesia.

Irmawati .
Department of Computer and Network Engineering, Politeknik Negeri Ujung Pandang, Makassar, South Sulawesi, Indonesia.

Titik Kwaha Abd Rahman
School of Science and Technology, Asia e University, Subang Jaya, Selangor, Malaysia.

Jufri
Department of Software Engineering, Universitas Dipa Makassar, Makassar, South Sulawesi, Indonesia.

Sahabuddin
Department of Information Technology, Universitas Bosowa, Makassar, South Sulawesi, Indonesia.

Herlinah
Department of Informatics Engineering, Universitas Handayani Makassar, Makassar, South Sulawesi, Indonesia.

Ida Mulyadi
Department of Informatics, Universitas Muhammadiyah Makassar, Indonesia.

DOI https://doi.org/10.33889/IJMEMS.2025.10.1.010

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Abstract

The study introduces a new framework integrating Multi Objective Optimization (MOO), Multi Criteria Group Decision Making (MCGDM), and sentiment analysis to improve regional expansion planning, particularly in developing countries. The framework addresses challenges such as governance, resource allocation, and public inclusion, aiming to make decision-making more transparent and adaptive. The study involves government agencies, experts, and communities using relevant variables. The model integrated 12 factors and 27 criteria within the MOO, encompassing 5 regions and 25 subdistricts in the MCGDM. Additionally, it analyzed 900 citizen comments through sentiment analysis and employed 9 indicators from 15 regions. The results demonstrated high accuracy, achieving a score of 0.98. The study demonstrates that the hybrid approach optimizes planning by balancing technical criteria and public sentiment, leading to more inclusive outcomes. The study lays a solid foundation for future research and practical application, making valuable contributions to the field of decision science, regional planning, and beyond.

Keywords- MOO, MCGDM, Machine learning, Sentiment analysis, Region expansion.

Citation

Faisal, M., ., I., Rahman, T. K. A. Jufri,Sahabuddin,Herlinah,& Mulyadi, I. (2025). A Hybrid MOO, MCGDM, and Sentiment Analysis Methodologies for Enhancing Regional Expansion Planning: A Case Study Luwu - Indonesia. International Journal of Mathematical, Engineering and Management Sciences, 10(1), 163-188. https://doi.org/10.33889/IJMEMS.2025.10.1.010.