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All Journal Jurnal Abdimas Bina Bangsa Brilliance: Research of Artificial Intelligence
Carli Apriansyah Hutagalung
Universitas Media Nusantara Citra
Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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STORYTELLING SEBAGAI TEKNIK PEMBELAJARAN PENGEMBANGAN KARAKTER DIRI ANAK DI RUMAH BELAJAR CAHAYA INDONESIA Wida Nofiasari; Carli Apriansyah Hutagalung
Jurnal Abdimas Bina Bangsa Vol. 4 No. 1 (2023): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v4i1.387

Abstract

This Community Service is an activity carried out to build children's character from an early age through learning techniques using storytelling. The partner for this activity is the children at the Cahaya Indonesia Learning Center in Kedaung Wetan neighborhood, Neglasari District, Tangerang City, Banten Province, whose students are children aged 6 to 11 years old. There are 30 children involved in this activity, which was held on December 18, 2022. The aim of this community service is to support formal education in shaping children's characters from an early age so can express themselves, tell stories, communicate, and contribute well to the progress of the nation. The learning technique used include showing animation videos, storytelling techniques, discussion methods, and simulation methods. The success rate is measured through observation by looking at the enthusiasm of the children in participating in the community service program and the number of children present. The achieved results of the community service are that the use of storytelling techniques in the learning process is quite effective in facilitating children's learning in shaping their characters with good habits and helping children to think creatively, adaptively, and competitively
PENGEMBANGAN VIDEO PEMBELAJARAN ANAK-ANAK BERBASIS ANIMAKER UNTUK MENINGKATKAN MINAT DAN EFEKTIVITAS PEMBELAJARAN Carli Apriansyah Hutagalung; Wida Nofiasari
Jurnal Abdimas Bina Bangsa Vol. 4 No. 2 (2023): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v4i2.524

Abstract

Indonesian children's interest in learning decreases from year to year, many factors influence it, especially in this study in the Rawa Kucing Final Disposal Area (TPA) area, the low interest in children's learning and the lack of effectiveness of conventional learning and some stop because economic factor. This service tries to examine the level of enthusiasm, interest and effectiveness of children's learning through the use of Animaker animated characters in learning videos at the Indonesian Light Learning House TPA Rawa Kucing Kedaung Wetan. This study uses the Field Work Practice (PKL) approach. The results of this study indicate that Animaker-based learning videos are effective in increasing children's interest and knowledge transfer and making a positive contribution to the development of interesting learning approaches for children. Animaker-based learning videos can be an effective tool for increasing children's learning interest, strengthening conceptual understanding, and creating fun learning experiences
Wholesale Inventory Management Optimization: Methodological Approach with XGBoost, SVR, and Random Forest Algorithms Carli Apriansyah Hutagalung Hutagalung; Gisela Anastacia Rosalind; Dewi Masito Setyo Tuhu; Ayu Agustianingsih
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.
Co-Authors Ayu Agustianingsih Dewi Masito Setyo Tuhu Gisela Anastacia Rosalind Wida Nofiasari