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Journal of Computer Science Advancements
Published by Yayasan Adra Karima Hubbi
ISSN : 30263379     EISSN : 3024899X     DOI : https://doi.org/10.70177/jsca
Core Subject : Science,
Computer Science & IT
Journal of Computer Science Advancements is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of science, engineering and information technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the Journal of Computer Science Advancements follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 86 Documents
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Development of Adaptive Lecture Scheduling System using Genetic Algorithm Case Study: Ahmad Dahlan Institute of Technology and Business Ardana, Nandika Bayu; Hastomo, Widi; Arman, Shevti Arbekti
Journal of Computer Science Advancements Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i4.1310

Abstract

Optimal course scheduling is a crucial aspect in supporting the efficiency of the teaching and learning process in higher education. In many institutions, lecture scheduling is still done manually or with static methods that are not adaptive to changing needs and limited resources. This research aims to develop an adaptive lecture scheduling system using genetic algorithms, with a case study at ITB Ahmad Dahlan. Genetic algorithms were chosen because of their ability to solve complex optimization problems with high efficiency, such as managing dynamic variables such as lecturer availability, rooms, and lecture time preferences. In this research, data related to courses, lecturers, time, classroom availability, and curriculum requirements are integrated into the designed system to generate an optimal course schedule. The development process involved several key stages, including requirements analysis, system design, algorithm implementation, and performance evaluation. Genetic algorithm implementation is done by simulating various scheduling scenarios to find the most optimal solution. The results show that the developed system is able to produce a more efficient and clash-free course schedule compared to traditional scheduling methods. In addition, the system also allows higher flexibility in adjusting the schedule to changes that may occur, such as the addition or reduction of classes. Thus, this research makes a significant contribution in improving the quality of educational services at ITB Ahmad Dahlan as well as offering solutions that can be adopted by other educational institutions facing similar challenges.
The Effect of Educational Podcasts on Increasing Understanding of Concepts Among Students Nugroho, Budi; Cale, Wolnough; Jie, Lie
Journal of Computer Science Advancements Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i4.1320

Abstract

The rapid evolution of digital media has introduced various educational tools, among which educational podcasts have gained popularity. Podcasts offer an innovative and flexible method for students to engage with content outside traditional classroom settings. Despite their potential, there is limited empirical research on the effectiveness of educational podcasts in enhancing students’ understanding of concepts. This study aims to evaluate the impact of educational podcasts on students’ comprehension of academic concepts. Specifically, it investigates whether regular podcast exposure improves students’ conceptual understanding compared to traditional instructional methods. A quasi-experimental design involving 120 students from various educational levels was employed. Participants were divided into two groups: the experimental group, which used educational podcasts as supplementary material, and the control group, which continued with conventional teaching methods. Pre-tests and post-tests were administered to assess conceptual understanding before and after the intervention. Data analysis was conducted using quantitative methods, including t-tests and ANOVA. The results indicated a significant improvement in the experimental group’s conceptual understanding compared to the control group. The average score increase for the experimental group was 20% higher than that of the control group, suggesting that educational podcasts positively affect learning outcomes. Educational podcasts can effectively enhance students’ understanding of academic concepts. They provide an engaging and accessible way for students to reinforce learning outside classroom hours. The study highlights the potential of integrating podcasts into educational practices to support and improve student learning.
Implementation of Augmented Reality Technology in History Learning: Experimental Study Apriyanto, Apriyanto; Maharjan, Kailie; Wei, Zhang
Journal of Computer Science Advancements Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i4.1321

Abstract

The integration of technology into education continues to evolve, with augmented reality (AR) emerging as a promising tool in enhancing learning experiences. In the context of history education, traditional methods often struggle to engage students and provide immersive experiences. This study investigates the implementation of augmented reality technology in history learning to assess its impact on student engagement and understanding. The research aims to determine whether AR can effectively improve students' comprehension of historical events and concepts compared to conventional teaching methods. A mixed-methods experimental design was employed, involving a sample of high school students who were divided into an experimental group using AR technology and a control group following traditional teaching methods. Data were collected through pre- and post-intervention assessments, surveys, and interviews. The analysis focused on comparing learning outcomes and engagement levels between the two groups. Results indicated that the experimental group demonstrated significantly higher scores on post-intervention assessments and reported greater engagement and interest in the subject matter compared to the control group. These findings suggest that AR technology can enhance students' understanding of historical content by providing interactive and immersive learning experiences. The study concludes that incorporating AR technology into history education can significantly improve student learning outcomes and engagement. The use of AR provides a novel approach to teaching history, offering immersive experiences that can complement traditional methods. Future research should explore the long-term effects of AR on learning and its applicability across various educational contexts.
The Effectiveness of Interactive Videos in Increasing Student Engagement in Online Learning Haerawan, Haerawan; Cale, Woolnough; Barroso, Uwe
Journal of Computer Science Advancements Vol. 2 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i5.1322

Abstract

The shift towards online learning has highlighted the need for innovative approaches to maintain student engagement. Traditional video lectures often fail to captivate students, decreasing attention and learning outcomes. Interactive videos incorporating quizzes, clickable hotspots, and branching scenarios have emerged as a potential solution to this challenge. This study aimed to evaluate the effectiveness of interactive videos in increasing student engagement in online learning environments compared to traditional video lectures. Additionally, it sought to identify the most impactful interactive elements and their correlation with learning outcomes. A mixed-methods approach was employed, involving 200 undergraduate students from diverse disciplines. Participants were randomly assigned to either an experimental group using interactive videos or a control group using traditional video lectures for a 6-week online course. Data collection methods included pre-and post-tests, engagement metrics (time spent, interaction frequency), and qualitative feedback through surveys and focus group discussions. Results demonstrated a significant increase in student engagement for the interactive video group, with 45% higher interaction rates and 30% longer viewing times than the control group. Quiz-based interactions and branching scenarios were found to be the most effective elements. Moreover, the experimental group showed a 25% improvement in learning outcomes as measured by post-test scores. In conclusion, this study provides strong evidence for the efficacy of interactive videos in enhancing student engagement and learning outcomes in online education. These findings suggest that incorporating interactive elements into video content can significantly improve the online learning experience, offering educators a valuable tool to address engagement challenges in digital learning environments.
Use of Virtual Reality Technology for Learning Mechanical Skills Susilo, Anto; Barra, Ling; Wang, Yuanyuan
Journal of Computer Science Advancements Vol. 2 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i5.1323

Abstract

Background: With the technological landscape in education shifting rapidly, Virtual Reality presents a novel approach to practical skill development, particularly in mechanical engineering. This study explores the potential of Virtual Reality to enhance the learning of specific mechanical skills, such as Mechanical Skills, which are crucial in the increasingly automated industry. The main objective of this research was to assess the effectiveness of Virtual Reality technology in teaching mechanical skills compared to traditional hands-on methods. The study employed a quasi-experimental design involving 100 mechanical engineering students from two universities. Using conventional training methods, which included [insert specific methods], participants were randomly assigned to a VIRTUAL REALITY training group and a control group. Both groups were tested on their ability to perform specific mechanical tasks, such as [insert specific tasks], before and after the training sessions. The Virtual Reality group demonstrated a statistically significant improvement in performance accuracy and speed compared to the control group. Post-study surveys also indicated higher satisfaction and engagement levels among the Virtual Reality group. The findings suggest that Virtual Reality technology can significantly enhance the learning of mechanical skills, offering a more effective and engaging approach than traditional methods. The potential of Virtual Reality to revolutionize mechanical engineering education is inspiring, offering a new and exciting way to teach and acquire practical skills.
Analysis of the Impact of Social Media as a Learning Tool in Language Subjects Usup, Usup; Purwaningsih, Dewi Ismu
Journal of Computer Science Advancements Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i4.1324

Abstract

Integrating digital platforms in education has seen a notable shift in incorporating social media to enhance learning experiences. In language education, social media platforms offer interactive, engaging environments that can improve language acquisition and proficiency. This study aims to analyze the effectiveness of social media as a learning tool in language subjects, focusing on its impact on student engagement and language proficiency. A mixed-method approach was utilized, combining quantitative surveys and qualitative interviews with 200 high school students who used social media for language learning. The quantitative data were analyzed using statistical techniques to measure engagement and proficiency, while thematic analysis was applied to the qualitative data to explore student perceptions and experiences. The findings indicate that students using social media for language learning reported higher levels of engagement and demonstrated significant improvement in language proficiency compared to those using traditional methods. The interactive and collaborative nature of social media was found to facilitate more practical language use, which is critical for learning. Social media can significantly enhance student engagement and language proficiency when effectively integrated into language learning curricula. Educators are encouraged to explore and utilize social media platforms to create more dynamic and responsive language learning environments.
Development of AR-Based Educational Games for Mathematics Learning in Elementary Schools Susanto, Ruhiat; Nurtamam, Mohammad Edy
Journal of Computer Science Advancements Vol. 2 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i5.1325

Abstract

The traditional approach to mathematics education in elementary schools often fails to engage students fully and can lead to a lack of interest in the subject. Augmented Reality (AR) technology presents a novel opportunity to enhance learning by integrating interactive, immersive experiences that can make mathematics more engaging and understandable for young learners. This study aims to develop and evaluate the effectiveness of AR-based educational games designed specifically for mathematics learning in elementary schools. The primary goal is to determine whether these games can improve students’ engagement and mathematical understanding compared to traditional teaching methods. A quasi-experimental design was employed, involving 150 elementary school students from three schools. Participants were divided into a control group, which continued with the standard curriculum, and an experimental group, which used the AR-based games. Data were collected through pre- and post-tests to assess mathematical understanding, as well as student engagement surveys. The findings revealed that students in the experimental group demonstrated significantly higher levels of engagement and improved test scores in mathematics compared to the control group. The AR games were particularly effective in enhancing students’ abilities to solve problems and understand complex mathematical concepts. The use of AR-based educational games in mathematics education can significantly enhance student engagement and understanding of the subject. This study suggests that incorporating AR technologies into the elementary school curriculum could be a beneficial strategy to revitalize mathematics education and improve learning outcomes.
Design of Pest Detection and Repellent Device Based on Arduino Uno using Pir (Passive Infrared Receiver) Sensor Prasetyo, Nur Adi; Syamsu, Muhajir; Arman, Shevti Arbekti
Journal of Computer Science Advancements Vol. 2 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i5.1326

Abstract

This research aims to design and develop a technology-based pest detection and repellent device using the Arduino Uno R3 microcontroller. This tool is designed to overcome the problem of the presence of insect pests and rats on the KWT Gemas Imlan agricultural land. The developed system integrates various sensors and modules to achieve optimal performance. The PIR sensor is used to detect the movement of pests around agricultural areas, while the LDR sensor functions to measure light intensity as one of the parameters of equipment operating conditions. As an expulsion measure, this device is equipped with an NE555 module which emits high frequency sound waves to repel or force pests to leave the agricultural area. Testing is carried out in stages, starting from individual testing of each sensor to testing the entire system. The research results show that this tool can operate automatically with a fast and accurate response, so it has the potential to be an effective solution for controlling pests on agricultural land.
Forecasting Waste Generation with Increment Linear Regression Technique: A Case Study of SIMASKOT Application Jayadi, Puguh; Hidayati, Nasrul Rofiah; Saifulloh, Saifulloh; Hamid, Suhardi; Shuib, Salehuddin; Ismail, Siti Nurbaya
Journal of Computer Science Advancements Vol. 2 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i5.1369

Abstract

This research aims to develop a prediction system for urban waste generation using the Incremental Linear Regression method on SIMASKOT. This method is applied to deal with the limitations of historical data, where the prediction results from the previous year are used as training data to predict the next year. The problem faced is the lack of sufficient data to create accurate and reliable prediction models in the long term. The purpose of this study is to improve the accuracy of waste generation prediction using an incremental regression approach. The experimental methodology involves the use of waste generation data from several waste categories during the period 2019 to 2022, which is then used to predict data until 2026. Model evaluation was carried out using the metrics Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R². The results show that this incremental prediction model is able to provide more accurate predictions than conventional models, especially for more volatile waste categories such as wood twigs and metals. The conclusion of this study shows that the Incremental Linear Regression technique is effective to be used in waste generation prediction, and can be integrated in long-term prediction-based monitoring applications.
Integrating Artificial Intelligence in IoT Systems: A Systematic Review of Recent Advances and Application Hamidi, Shir Ahmad; Hashimi, Fareed Ullah; Rahmati, Ajmal
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1420

Abstract

This study explores the intersection of Artificial Intelligence (AI) and the Internet of Things (IoT), focusing on contemporary trends, challenges, and emerging applications. The key objectives are assessing the improvements in efficiency, scalability, and automation as a result of AIoT integration, identifying significant challenges realized during implementation, and checking the potential future application in various sectors. A literature review about all aspects was conducted on MDPI, ScienceDirect, IEEE Xplore, and Springer for documents spanning from 2019 to 2024. The review brought to light the significant progress in AIoT: real-time data processing, predictive maintenance, and smart home automation. Core challenges include data security, interoperability, and algorithm manipulation. Future applications using AI on IoT are expected to revolutionize paradigms such as healthcare, smart cities, and agriculture, providing better efficiency and innovation. Newly emerging paradigms from AIoT bear the potential for transformation, emphasizing that related challenges must be adequately tackled for them to result in implementation.

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