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All Journal Yumary: Jurnal Pengabdian kepada Masyarakat Brilliance: Research of Artificial Intelligence
Tuhu, Dewi Masito Setyo
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Mathematics Social Sciences Other

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Wholesale Inventory Management Optimization: Methodological Approach with XGBoost, SVR, and Random Forest Algorithms Hutagalung, Carli Apriansyah Hutagalung; Rosalind, Gisela Anastacia; Tuhu, Dewi Masito Setyo; Agustianingsih, Ayu
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3336

Abstract

This research aims to optimize wholesale inventory management at PT Primafood International Pasir Putih 2 by implementing leading algorithms, namely XGBoost, Support Vector Regression (SVR), and Random Forest. In the wholesale industry, effective inventory management plays a crucial role in maintaining smooth production processes and enhancing company profitability. Despite the acknowledged benefits of inventory management, there are aspects that remain not fully disclosed, particularly concerning demand uncertainty and market fluctuations. This study addresses these gaps by exploring the potential of these three algorithms. Experimental methods with a quantitative approach were employed to shape and prepare the dataset. The analysis and predictions' results using XGBoost, SVR, and Random Forest were evaluated using metrics such as Mean Squared Error (MSE), F1-Score, and Accuracy. The evaluation indicates that XGBoost and SVR exhibit optimal performance with low MSE values of 7714.446 and 119.315, high F1-Scores (0.92), and good accuracy levels (0.86 and 0.85), respectively. While Random Forest shows a higher MSE, it still delivers solid performance with an F1-Score of 0.89 and an accuracy rate of 0.81. These findings suggest that all three algorithms can be considered to enhance inventory management performance at PT Primafood International Pasir Putih 2, with significant potential benefits for overall industry development. This research provides valuable insights for decision-making at the business and industrial levels, highlighting the effectiveness of each algorithm in the context of predicting stock level.
Peningkatan Literasi Numerasi Siswa SMA Melalui Pembinaan AKM untuk Mencapai Sekolah Berkualitas Masnia, Masnia; Saputri, Veni; Kamsurya, Rizal; Tuhu, Dewi Masito Setyo
Yumary: Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 2 (2025): Desember
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/yumary.v6i2.3231

Abstract

The purpose of this Community Service (PKM) activity is to improve the numeracy ability of Tadika Pertiwi Senior High School students through the coaching of Minimum Competency Assessment (AKM), to create a quality school. The methodology used in this activity is Blended Learning which combines material delivery and AKM question practice through Google Classroom and Google Meet. This activity took place at Tadika Pertiwi High School and involved lecturers and students from the mathematics education study program at Media Nusantara Citra University. The results of this PKM activity show that students have a better understanding of AKM questions, are better prepared to take AKM at school, and there is a significant improvement in student numeracy results. An evaluation was conducted through assignments and students' AKM results. Although there were obstacles such as network problems and conflicting student schedules, this activity was still successful thanks to the effective collaboration between the school and the PKM team. In conclusion, AKM coaching improves students' numeracy ability and creates a more interactive and collaborative learning environment. Thus, SMA Tadika Pertiwi can continue to improve the quality of its education and produce excellent students who are ready to face various academic challenges in the future
Co-Authors Agustianingsih, Ayu Hutagalung, Carli Apriansyah Hutagalung Kamsurya, Rizal Masnia Masnia, Masnia Rosalind, Gisela Anastacia Saputri, Veni