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Enhanced you only look once approach for automatic phytoplankton identification Wisnu Ardhi, Ovide Decroly; Retnaningsih Soeprobowati, Tri; Adi, Kusworo; Prakasa, Esa; Rachman, Arief
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp3426-3436

Abstract

Conventionally, identifying phytoplankton species is challenging due to human taxonomical knowledge limitations. Advanced technology can overcome this problem. A novel model that accurately enhances phytoplankton detection and identification classification by combining asymmetric convolution and vision transformers (ACVIT) within the YOLOv8m framework is promoted with ACVIT-YOLO. The performance of this model surpasses the original YOLOv8m model, exhibiting a notable 2.4% enhancement in precision, 5.5% improvement in recall, and 1.1% gain in mAP 50 score. The enhanced effectiveness of ACVIT-YOLO compared to the YOLOv8m model, further demonstrated by the decreased giga floating-point operations (GFLOP), decreased parameter count, and compact dimensions, significantly improves the automation of phytoplankton species identification. This suggests that the ACVIT-YOLO model could produce a better prediction system for identifying phytoplankton with similar accuracy to the original YOLOv8m model but with lower computational power and resource usage.
From Training and Motivation to Entrepreneurial Intention: Unpacking the Role of Educational Mediation in University Entrepreneurship Putrianti, Flora Grace; Nurdiansyah, Yanuar; Wisnu Ardhi, Ovide Decroly
Indonesian Journal of Business and Entrepreneurship Research Vol. 3 No. 2 (2025): Vol. 3, No. 2, May 2025: Indonesian Journal of Business and Entrepreneurship Re
Publisher : Department of Business and Entrepreneurship, Faculty of Economics and Business, Universitas Negeri Makassar

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Abstract

Unemployment remains a major challenge in Indonesia, primarily due to the country’s high population growth rate, which intensifies competition in the job market. One effective strategy to address this issue is by increasing the number of entrepreneurs. This study aims to examine the direct and indirect effects of entrepreneurship training, motivation, and entrepreneurial environment on students’ entrepreneurial intention, with entrepreneurship education serving as a mediating variable. A quantitative approach with a descriptive explanatory design was employed, involving a population of 492 students. A sample of 103 students from the Faculty of Economics and Business, Universitas Negeri Makassar, was selected using proportional random sampling. Data analysis reveals that entrepreneurship training, motivation, and the entrepreneurial environment significantly influence entrepreneurial intention both directly and indirectly through entrepreneurship education. The findings highlight the importance of structured entrepreneurial education as a pathway to strengthen students' business skills and intentions. These insights can serve as valuable input for educators in guiding students not only in product development but also in marketing, business evaluation, and strategic growth. Future research is encouraged to expand the scope by incorporating additional variables and diverse methodological approaches.