cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Adam Mudinillah
Contact Email
adammudinillah@staialhikmahpariangan.ac.id
Phone
+6285379388533
Journal Mail Official
adammudinillah@staialhikmahpariangan.ac.id
Editorial Address
Jorong Kubang Kaciak Dusun Kubang Kaciak, Kelurahan Balai Tangah, Kecamatan Lintau Buo Utara, Kabupaten Tanah Datar, Provinsi Sumatera Barat, Kodepos 27293.
Location
Kab. tanah datar,
Sumatera barat
INDONESIA
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 5 Documents
 1 
Search results for , issue "Vol. 2 No. 5 (2024)" : 5 Documents clear
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.
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.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 3 No. 6 (2025) Vol. 3 No. 5 (2025) Vol. 3 No. 4 (2025) Vol. 3 No. 3 (2025) Vol. 3 No. 2 (2025) Vol. 3 No. 1 (2025) Vol. 2 No. 6 (2024) Vol. 2 No. 5 (2024) Vol. 2 No. 4 (2024) Vol. 2 No. 3 (2024) Vol. 2 No. 2 (2024) Vol. 2 No. 1 (2024) Vol. 1 No. 6 (2023) Vol. 1 No. 5 (2023) Vol. 1 No. 4 (2023) Vol. 1 No. 3 (2023) Vol. 1 No. 2 (2023) Vol. 1 No. 1 (2023) More Issue