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All Journal Cakrawala Pendidikan Journal of Applied Engineering and Technological Science (JAETS)
Khiem, Nguyen Tri
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Artificial Intelligence and Optimization of Reverse Logistics: An Analysis in the Aquatic Industry of The Mekong Delta Tran Trung, Chuyen; Trinh, Phan Tran Xuan; Huy, Tran Thanh; Khiem, Nguyen Tri; Tac, Nguyen Van
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i1.7471

Abstract

In recent years, artificial intelligence (AI) has become an important technology that enhances the competitive advantages for businesses. This study investigates the application of artificial intelligence and how it can optimize reverse logistics for the aquatic industry in the Mekong Delta. It also explores the current situation in applying AI, its benefits, and challenges when using AI in reverse logistics for aquatic enterprises. The research uses qualitative and quantitative methods to collect data from interviewing managers, logistics staff, and technicians to deliver a survey to 41 seafood businesses. Results show AI applications in forecasting, storage, and recycling can cut operational costs by over 10% for 46.3% of firms and improve recovery time by over 10% for 56.1%. Benefits also include higher operational efficiency and better environmental performance. However, challenges persist in system integration, data access, and workforce readiness. The study provides practical recommendations, including enhancing AI workforce training, system integration, and collaboration with technology providers, to help seafood companies overcome barriers and maximize the benefits of AI in reverse logistics.
Factors influencing post-graduation employment opportunities: A case study at a university in the Mekong Delta Tran, Chuyen Trung; Tam, Nguyen Thi Thu; Khiem, Nguyen Tri
Jurnal Cakrawala Pendidikan Vol. 45 No. 1 (2026): Cakrawala Pendidikan (February 2026)
Publisher : LPMPP Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/cp.v45i1.89980

Abstract

Employment remains one of the most urgent socio-economic issues, particularly in the context of ongoing economic fluctuations. Employment rates are also among the key targets of national macroeconomic development goals. This study aims to identify the factors influencing job adaptability in order to enhance students’ post-graduation employment opportunities. A mixed-methods approach was employed, incorporating expert consultation, analysis of industry reports, and a review of both domestic and international literature. In addition, a survey was conducted with 270 graduates from nine faculties at Nam Can Tho University (NCTU) who are currently working in the Mekong Delta region. The findings indicate that several factors significantly influence job adaptability and employment outcomes, including professional knowledge, soft skills, basic skills, academic performance, social networks, and work readiness. The results also reveal no significant gender differences in employment opportunities. However, variations are observed based on graduates’ hometowns, graduation cohorts, and academic rankings. Overall, this study contributes empirical evidence on key employability factors and provides practical insights for higher education institutions and policymakers to improve training quality and graduate employability.
Co-Authors Huy, Tran Thanh Tac, Nguyen Van Tam, Nguyen Thi Thu Tran Trung, Chuyen Tran, Chuyen Trung Trinh, Phan Tran Xuan