Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal Jurnal Abdimas Bina Bangsa Brilliance: Research of Artificial Intelligence International Journal of Language and Ubiquitous Learning
Carli Apriansyah Hutagalung
Universitas Media Nusantara Citra
Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
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.
Strengthening English Language Learning through Artificial Intelligence-Based Mobile Applications: A Comparative Study in Formal and Informal Contexts Ira Nurmala; Ali Reza; Carli Apriansyah Hutagalung; Petrus Jacob Pattiasina; Jimmy Malintang
International Journal of Language and Ubiquitous Learning Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v2i4.1764

Abstract

Background. AI-based mobile applications are revolutionizing language learning by offering personalized, adaptable tools. Their impact differs across various learning environments, prompting the necessity for a comparative study to understand these variances better. Purpose. This study aims to compare the effectiveness of AI-based mobile applications for English language learning in formal classroom settings versus informal self-study environments. The goal is to determine how these tools perform across different contexts and identify the optimal conditions for their use. Method. A comparative study was conducted involving high school and university students in formal educational settings and adult learners in informal self-study settings. Over three months, participants utilized AI-based language learning applications. Data collection involved pre- and post-tests to measure learning outcomes, alongside surveys and interviews to gauge user experiences and preferences. Results. Analysis revealed significant improvements in both learning environments, with formal settings showing a 12% increase in test scores and informal settings an 8% increase. Students in formal settings more frequently engaged with interactive features, whereas informal learners gravitated towards self-study tools. Engagement and interaction levels were notably higher in formal educational settings compared to informal ones. Conclusion. AI-based mobile applications significantly enhance English language learning, particularly in structured, formal environments. The findings underscore the importance of tailoring these tools to fit different learning contexts. While both formal and informal settings benefit from these applications, formal education environments seem to leverage their interactive features more effectively, resulting in higher engagement and better learning outcomes. This study highlights the need for educators and developers to consider context-specific strategies to maximize the benefits of AI-based language learning tools.
Co-Authors Ali Reza Ayu Agustianingsih Dewi Masito Setyo Tuhu Gisela Anastacia Rosalind Ira Nurmala Jimmy Malintang Petrus Jacob Pattiasina Wida Nofiasari