Education on Hybrid Multi-Criteria Decision Making and Machine Learning through the Morning Class Program:  Integration of Engineering and Technology

Nasir Usman; Muhammad Faisal; Sri Wahyuni; Saharuddin Saharuddin; Lisa Fitriani Ishak; Darniati Darniati; Musdalifa Thamrin; Emil Agusalim Habi Talib; Alvina Felicia Watratan

doi:10.70609/i-com.v6i2.9453

Penulis

Nasir Usman STMIK Profesional Makassar, Indonesia
Muhammad Faisal Universitas Muhammadiyah Makassar, Indonesia
Sri Wahyuni Universitas Islam Negeri Alauddin Makassar, Indonesia
Saharuddin Saharuddin STMIK Profesional Makassar, Indonesia
Lisa Fitriani Ishak Universitas Muhammadiyah Makassar, Indonesia
Darniati Darniati Universitas Muhammadiyah Makassar, Indonesia
Musdalifa Thamrin STMIK Profesional Makassar, Indonesia
Emil Agusalim Habi Talib Universitas Muhammadiyah Makassar, Indonesia
Alvina Felicia Watratan STMIK Profesional Makassar, Indonesia

DOI:

https://doi.org/10.70609/i-com.v6i2.9453

Kata Kunci:

Education, Hybrid Intelligence, Machine Learning, MCDM, Decision Support Systems

Abstrak

The Society 5.0 era requires mastery of transparent and intelligent decision systems, yet practical understanding of integrating Machine Learning (ML) and Multi-Criteria Decision Making (MCDM) through Hybrid Intelligence frameworks remains limited in academic environments. This community service aims to enhance the scientific capacity of academics through the "Morning Class" international program. The methodology employed an online joint lecture approach involving collaboration between Universitas Muhammadiyah Makassar and Multimedia University Malaysia. The activity involved 48 participants and was divided into three phases: initial evaluation, delivery of theoretical-practical integration modules, and final evaluation. Results indicate a significant increase in understanding, with the average score rising from 65.8 in the pre-test to 87.5 in the post-test. The highest improvement (36%) was recorded in the hybrid framework implementation indicator. These findings confirm that the synergy between human expert ethical values and machine data processing speed is a crucial solution for modern decision-making. The program recommends further technical workshops to support deeper research implementation for partner institutions.

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