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Alde Alanda
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International Journal of Advanced Science Computing and Engineering
Published by Society of Visual Informatics
ISSN : 27147533     EISSN : 27147533     DOI : https://doi.org/10.30630/ijasce
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
The journal scopes include (but not limited to) the followings: Computer Science : Artificial Intelligence, Data Mining, Database, Data Warehouse, Big Data, Machine Learning, Operating System, Algorithm Computer Engineering : Computer Architecture, Computer Network, Computer Security, Embedded system, Coud Computing, Internet of Thing, Robotics, Computer Hardware Information Technology : Information System, Internet & Mobile Computing, Geographical Information System Visualization : Virtual Reality, Augmented Reality, Multimedia, Computer Vision, Computer Graphics, Pattern & Speech Recognition, image processing Social Informatics: ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT education
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 149 Documents
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Augmented Reality Applications for Cultural Heritage Using Kinect Sensor Afyenni, Rita; Erianda, Aldo; Wahyuni, Putri; Firosha, Ardian; Gusman, Taufik; Sumema
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 3 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.3.221

Abstract

There are quite a number of advantages gained from Microsoft Kinect which is a motion sensing device that also includes AR applications to aid in the preservation and promotion of cultural assets. In this work, a batik model was developed with the help of Microsoft Kinect by utilizing its core components consisting of a depth sensor, an RGB camera and a microphone array to allow motion tracking, gesture recognition, and voice command functionalities of the device.The depth sensing features of the device, in particular the structural light employed, transition to Time-of-Flight technology has improved the efficiency and applicability of the device towards AR. Kinect has the ability to create an immersive AR experience by accurately mapping virtual objects to the user’s environment, leveraging body joint tracking to create a 3D skeletal model. It is required to take into consideration the kinnect positioning technique which has importance in allowing 3D objects and models to align. Therefore, the conclusion addresses Kinect as it relates to human-computer interaction, in particular, concerning its potential to change body interaction in real time and how it sets the stage for future systems that require an active interaction across a number of fields including culture and heritage.
Numerical Investigation of High-Temperature Thermal Energy Storage Systems Using Concrete and Nitrate Salts: Optimization and Performance Analysis Ayenew, Tewodros Eskemech; Asefa, Natnale Sitotaw
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.216

Abstract

This study conducts a numerical analysis of high-temperature Thermal Energy Storage (TES) systems, focusing on concrete used as a sensible heat storage material and potassium nitrate (KNO₃) as a phase change material (PCM). The study aimed to enhance the performance of TES systems in Concentrated Solar Power (CSP) plants by optimizing the number of Heat Transfer Fluid (HTF) tubes and analyzing different storage bed configurations. A 3D numerical model was developed using COMSOL Multiphysics 4.3a to simulate heat transfer processes, including fluid flow, conduction, convection, and phase change. A grid independence test ensured the accuracy of the simulations. The research identified that 25 HTF tubes provide an optimal balance between heat transfer efficiency and material usage in the nitrate salt TES model. Additionally, the cylindrical storage bed configuration reduced charging time by over 20% compared to a rectangular configuration. The results indicate that concrete can store up to 15 MJ of thermal energy, making it a viable option for CSP applications. The study also highlights the potential of embedding highly conductive materials like copper to enhance heat transfer. Recommendations for future work include exploring TES system performance under turbulent flow conditions and for intermediate temperature applications.
Building Enthusiasm Level Detection Model on Online Learning Using YOLOv11 with Hyperparameter Optimization Hilmi Aziz; Yulianti, Siti; Rianto
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.231

Abstract

This study aims to develop a model for detecting enthusiasm levels in online learning using the YOLOv11 algorithm, enhanced through hyperparameter optimization. Facial expressions serve as crucial indicators in determining enthusiasm, as they reflect the level of attention and interest a learner has toward the material. By increasing the number of interest level categories, the model is expected to provide a more detailed and accurate assessment of student engagement. The dataset used in this research is sourced from FER2013, which initially consists of seven emotion classes. These emotions are reorganized and classified into five enthusiasm levels to represent different levels of interest in learning better. Each level contains 1,000 images, resulting in a dataset of 5,000 images. This dataset was refined from previous studies to enhance its relevance and improve detection performance, making it more suitable for real-world applications. To achieve optimal performance, key hyperparameters, including the number of epochs, batch size, and image size, were fine-tuned. Before optimization, the model demonstrated an average precision (mAP 50-95) of 95.2% with an inference time of 1.7 milliseconds. After hyperparameter tuning, the model’s performance improved significantly, reaching an average precision (mAP 50-95) of 97%. However, this enhancement came with a slight increase in inference time to 3.1 milliseconds. The results highlight that fine-tuning model parameters can enhance detection accuracy while maintaining efficient processing speed, making it highly applicable in educational settings for assessing learner engagement.
Solar Panel Monitoring System with Microcontroller Based Data Storage Junaidi, Andi; Yogianto, A. Agus; Setiawan, Denny; Naufal, Arga Rifqi
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.239

Abstract

Solar photovoltaic (PV) systems have been widely implemented in diverse applications, including buildings, traffic light systems, and public infrastructure, to reduce reliance on fossil fuels. However, the effectiveness of these systems depends on detailed and user-friendly monitoring, which remains a challenge due to cost and complexity barriers. This study addresses this gap by developing a low-cost, scalable PV monitoring system that integrates microcontroller-based sensors and data loggers to measure current, voltage, and power output in real time. The system is designed to be easily deployable and accessible, enabling broader adoption for renewable energy management. Using an experimental methodology, the system’s accuracy was validated through voltage sensor error analysis, yielding an average error of 0.07%, demonstrating high precision. The proposed solution not only enhances monitoring capabilities but also contributes to the optimization of solar energy systems by providing reliable data for performance evaluation. This research underscores the potential of affordable monitoring tools to support the sustainable expansion of solar PV technology.
Multiple Events and Multiple Users Tabulation System with E-Certificate Generation Cornelio Jr, Benjamin L.; S. Borcelo, Rowena; D. Siason Jr, Nordy
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.240

Abstract

This study was conducted to help the Cultural Office of the Iloilo State University of Science and Technology (ISUFST) Dingle Campus by developing a system to make contest tabulation faster and more accurate. The problem is that most of the events or contests still use a paper and pen or manual tabulation. This system is called the MEMU Tabulation System with e-certificate generation, it sends email confirmations to certify that judges were present and participated, ensuring fairness and transparency. The researchers used a developmental research method so the system could be improved in the future based on the needs of the Cultural Office. To make sure it met quality standards, the system was evaluated using the ISO 25010 framework, which checks important aspects like usability, reliability, and functionality. For the evaluation, the researchers asked for feedback from 10 IT experts and 40 users. These users were cultural event coordinators, faculty members, staff, and judges with experience in local pageants. Their opinions were gathered to see how well the system worked and how easy it was to use. The results were very positive. The system earned a score of 4.89, which is considered “Excellent.” This means the MEMU Tabulation System is highly reliable, easy to use, and meets the expectations of its users. It shows that the system can help simplify and improve the way contest results are handled. Overall, the study demonstrates how the MEMU Tabulation System can benefit cultural events at ISUFST Dingle Campus by making the process more efficient, accurate, and fair for everyone involved.
Secure Key Management Schemes for High-Mobility VANET Environments El-Dalahmeh, Moawiah; El-Dalahmeh, Adi
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.243

Abstract

Secure key management remains a critical challenge in Vehicular Ad Hoc Networks (VANETs) due to high mobility, rapid topology changes, latency constraints, and intermittent connectivity. Traditional key management techniques designed for static networks inadequately address these dynamic VANET characteristics, resulting in compromised security, scalability, and performance. Additionally, emerging quantum computing capabilities pose significant threats to classical cryptographic algorithms, necessitating the integration of quantum-resistant methods. To tackle these issues, this study proposes a hierarchical hybrid key management scheme tailored explicitly for high mobility VANET scenarios. The proposed approach combines symmetric, asymmetric, and lattice-based post-quantum crypto graphic methods within a dynamic clustering framework. Vehi cles dynamically form clusters based on proximity and mobility, wherein cluster heads efficiently distribute symmetric keys to reduce computational overhead and latency. For inter-cluster and vehicle-to-infrastructure communications, asymmetric cryp tography and lattice-based quantum-resistant algorithms en hance security and resilience against quantum threats. Extensive simulations using realistic mobility models (SUMO integrated with NS-3) demonstrate significant improvements over existing schemes. The results indicate reductions of approximately 30 40% in key distribution latency and up to 30% in computational overhead, alongside robust scalability with increasing vehicle den sity. Moreover, the incorporation of post-quantum cryptography ensures future-proof security. This paper identifies open research challenges, including adaptive security management, blockchain integration, and compatibility with emerging communication standards, providing valuable insights for future developments in secure and efficient VANET key management.
Blockchain Technology Adoption in Malaysia’s e-Government Services: Insights from Case Studies and a Framework for Implementation Ahmad, Zulaikha; Abdullah , Salfarina
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 2 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.2.254

Abstract

This paper aims to examine the adoption of blockchain technology within Malaysia’s e-government services, offering empirical insights and a comprehensive framework to guide effective implementation. The primary objectives are to investigate current adoption trends, identify barriers and enablers, and propose a structured approach for policymakers and practitioners. Materials for the research include qualitative data collected from multiple case studies involving key Malaysian government agencies currently piloting or deploying blockchain solutions. Supplementing this, secondary sources such as official government reports and policy documents are analyzed for context. The methodology combines a qualitative case study approach with thematic analysis, allowing for in-depth exploration of implementation processes, stakeholder perceptions, and encountered challenges. Data triangulation ensures the validity and reliability of findings. Results highlight varying degrees of blockchain integration across studied agencies, with primary drivers including a quest for process transparency, improved data integrity, and enhanced public trust. Key challenges are identified as technical infrastructure limitations, regulatory uncertainties, and stakeholder resistance to change. The proposed framework synthesized from case findings emphasizes leadership commitment, capacity building, stakeholder engagement, and iterative pilot testing. The study offers actionable recommendations for government bodies considering blockchain integration and underscores the need for context-sensitive strategies. It concludes with implications for further research, suggesting longitudinal studies to track adoption over time and evaluations of citizen-centric outcomes to refine implementation models.
Improving the Performance of Rank Regression Using Fast Minimum Covariance Determinant in Estimating Weibull Distribution Parameters Abduljabar Ibrahim Hasawy, Mohammed; Hussein Ali , Taha; Samad Sedeeq , Bekhal
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 3 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.3.229

Abstract

Outliers hurt the accuracy of life distribution parameters, including the Weibull distribution. Therefore, researchers have suggested employing the fast minimum covariance determinant method in rank regression estimators (which are robust but not efficient) to obtain robust estimators for the shape and scale parameters of the Weibull distribution. The proposed method is based on the robust means vector and the robust covariance matrix obtained from the fast minimum covariance determinant method, and it employs the rank regression estimation method, which depends on the ordinary least squares estimators of the simple linear regression model. The estimated parameters of the Weibull distribution obtained using the proposed technique have been compared with those derived from conventional maximum likelihood estimation and rank regression, using mean square error as the comparison metric, via both simulation and real data. The study's findings demonstrated the efficacy of the proposed strategy in addressing outliers and yielding highly effective estimators for the shape and scale parameters of the Weibull distribution.
Handoff Technique Using LoRaWAN Technology Manalu, Istas Pratomo; Sigiro , Marojahan Mula Timbul; Sinambela , Eka Stephani; Simatupang , Frengki; Kasih , Winda; Tampubolon , Benni; Hutabarat , Alexandro
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 2 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.2.247

Abstract

This research introduces an innovative handoff methodology for LoRaWAN in IoT systems. This approach, validated through empirical testing, not only markedly enhances connection quality but also facilitates the system in selecting the optimal gateway, providing redundancy, verifying gateway availability prior to handoff, and managing handoff failures. Experimental evaluations were performed using two LoRa gateways (Arduino Nano and LoRa RFM95) and a single LoRa end device (comprising Arduino Nano, LoRa RFM95, MQ135 sensor, and OLED), during which the node transitioned between two positions (Gateway A and Gateway B) approximately 500 meters apart. Handoff was triggered when one RSSI value fell below the other. The experimental handoff threshold was established at an RSSI of -93 dB; exceeding this value resulted in the transmitter losing service from the gateway. During the experiment, the transmitter gradually moved from Gateway A to Gateway B over a period of 40 seconds. At the 20th second, a critical juncture was observed wherein the RSSI and SNR values of Gateway B gradually exceeded those of Gateway A. Gateway B recorded an RSSI of -92 dBm and an SNR of 4 dB, whereas Gateway A recorded an RSSI of -97 dBm and an SNR of 2 dB. This signifies that Gateway B exhibited superior signal quality. Based on a dynamic comparison of these parameters, the system effectively executed a handoff at the midpoint, thereby redirecting data transmission to the gateway with the higher link quality.
Evaluating the Effectiveness of Drone Technology in Fish Feeding Operations Diamante, Ram Eujohn J.
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 3 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.3.250

Abstract

Interest has been shown in drone technology's potential to improve the efficiency and sustainability of aquaculture practices, with increased adoption in fish feeding operations. This study examines the effectiveness of drone-based feeding systems in fish farms, particularly in optimizing feed distribution and reducing waste, thereby improving water quality. This implies that drone technology can significantly increase the accuracy and speed of feed delivery, thereby reducing feed waste by 25% and increasing farmed fish growth rates by 15% above their mean rates. This study will also compare the economic and environmental benefits of drone-based feeding. Some of these benefits include a significant reduction in labor costs and lessened water pollution. Our results show that drone application will reduce labor costs by 30% and water pollution by 20%. Drones may emerge as a viable option for future aquaculture fish farming, improving sustainability and efficiency. The present research adds to the emerging body of work on drone technology applications in aquaculture and indicates a bright future in changing the industry's feeding practice. Overall, the findings from this study raise awareness not only of the potential of drone technology to improve the efficient operation of systems but also underscore drones as promoters of sustainability in aquaculture.

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