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This Author published in this journals
All Journal Ceddi Journal of Information System and Technology (JST) Ceddi Journal of Education Jurnal Abdimas Cendekiawan Indonesia
Kumar Vivek
Sathyabama University
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Health Professions Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Exploring Early Childhood Interests and Talents Through Role-Play Methods Misbayani Misbayani; Akbar Iskandar; Kumar Vivek
Jurnal Abdimas Cendekiawan Indonesia Vol. 1 No. 3 (2024): September
Publisher : Yayasan Cendekiawan Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jaci.v1i3.95

Abstract

Children's interests and talents are two very important things to develop from an early age. Both can be the foundation for children's future development, both in academic and non-academic fields. One effective method to explore children's interests and talents is through role-playing. This method is not only fun for children, but also full of educational benefits. Exploring children's talents and understanding their potential from an early age is the key to helping them grow and develop optimally. Children have their own world full of curiosity and uniqueness, through observation and deep understanding of their responses and behavior. We can find valuable clues about the interests and talents they are born with. Providing freedom to explore and the opportunity to try various activities is an effective way to help children find their own interests and talents. This process is not only about finding a particular talent but also about building self-confidence and the ability to adapt to various situations. In the role-playing method, the themes that can be given are themes that are close to the child's world, such as family and profession through these themes, role-playing will be more effective because children know and directly play the characters they will play and children will interact with other friends. So that social development can be honed to the maximum.
Waste Service Retribution Management in Selayar Islands Regency through Website-Based Solutions Wisda; Nuraida Latif; Rezki Apriana; Neneng Awaliah; Kumar Vivek; Kamaruddin
Ceddi Journal of Information System and Technology Vol. 3 No. 1 (2024): April
Publisher : Yayasan Cendekiawan Inovasi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v3i1.78

Abstract

The waste retribution management system at the Environmental Service office in Selayar Islands Regency is currently suboptimal. Customers are required to register for waste collection in person at the office, and the payment process must be done through a collection officer who visits the customer's location. Additionally, there is no formal channel for customers to provide feedback on the waste services they receive. To address these issues, an application is proposed to streamline waste service usage for the community and facilitate reporting for Environmental Service employees. The study aims to design and implement an Application for Data Collection and Reporting of Waste Service Retribution at the Environmental Service of Selayar Islands Regency. The research utilized field research, library research, interviews, and documentation to gather relevant data. The research methodology employed was Rapid Application Development (RAD), which involves stages such as requirements planning, user design, development, and implementation. The findings of the study suggest that the proposed application is highly feasible, based on the results of the respondents' assessments. This application is envisioned to significantly improve waste service management and customer experience in Selayar Islands Regency.
Student Expression Detection Based on Facial Image Using Convolutional Neural Network (CNN) Muh. Riyaldi Pratama; Erwin Gatot Amiruddin; Kamaruddin Kamaruddin; Tamus Bin Tahir; Muhammad Qadri; Kumar Vivek
Ceddi Journal of Education Vol. 4 No. 1 (2025): June
Publisher : Yayasan Cendekiawan Inovasi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/cje.v4i1.126

Abstract

The widespread adoption of electronic learning (e-learning) in higher education has brought significant changes to how knowledge is delivered. Despite its advantages, many implementations remain focused solely on content dissemination, often neglecting learners’ emotional engagement. Emotional states, particularly in academic contexts, influence concentration, motivation, and comprehension. One of the most effective and intuitive indicators of emotion is facial expression. This research investigates the use of Convolutional Neural Networks (CNN), a deep learning approach, to automatically detect student emotions through facial image analysis. A dataset of facial expressions was constructed and divided into training and testing sets, each containing five distinct emotional categories: anger, happiness, fear, neutrality, and surprise. The CNN model was trained for 100 epochs, resulting in a training accuracy of 89% and a testing accuracy of 88%. These results demonstrate that CNN-based emotion recognition has strong potential to enhance e-learning platforms by providing instructors with real-time emotional insights. By integrating emotional feedback, educators can adapt instructional strategies more effectively to improve student engagement and learning outcomes. This study contributes to the growing field of affective computing and emphasizes the importance of emotional awareness in digital learning environments.
Co-Authors - STMIK AKBA Makassar, Wisda Akbar Iskandar Erwin Gatot Amiruddin Kamaruddin Kamaruddin Kamaruddin Latif, Nuraida Misbayani Misbayani Muh. Riyaldi Pratama Muhammad Qadri Neneng Awaliah Rezki Apriana Tahir, Tamus Bin