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Alde Alanda
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Kampus Limau Manis
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INDONESIA
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 6 Documents
 1 
Search results for , issue "Vol. 7 No. 2 (2025)" : 6 Documents clear
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.
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.
GrainBot: An Android-Controlled Rice Grain Collector Robot Masiado , Sunshine L.; Constantino , Anna D.; Cajurao , Jaelord F.; Valenciano , Jayboy V.; Lagayao , Joe Vincent; Dasmariñas , John Sharwin S.; Laud , Renly Jade S.
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.7.2.258

Abstract

Rice, a fundamental dietary staple for over three billion people around the globe, remains subject to significant postharvest losses, even as advancements in production techniques continue to evolve. Traditional sun drying, although cost-effective and environmentally friendly, presents a range of challenges. It requires considerable labor, exposes farmers to potential health hazards, and often results in uneven drying, which adversely affects grain quality. In response to these pressing issues, this research unveils "GrainBot: An Android Controlled Rice Grain Collector Robot," an innovative solution designed to revolutionize rice collection. This agile, two-wheeled robot employs a sophisticated suction mechanism to efficiently collect sun-dried rice, while being wirelessly controlled via a custom-designed Android application. The functionality, usability, efficiency, compatibility, maintainability, reliability, and portability of this system were rigorously assessed against ISO 25010, with input from a diverse group of users, including farmers, agricultural specialists, and IT professionals. The findings from this comprehensive evaluation revealed a grand mean score of 4.61, indicating an "excellent" rating. This indicates not only a high level of user satisfaction but also underscores the system’s effectiveness in automating and refining the rice grain collection process. Ultimately, the proposed GrainBot represents a promising technological advancement, poised to significantly reduce manual labor, minimize health risks for farmers, and enhance the overall efficiency of postharvest rice handling.
Beykoz Honor a Robust Online Exam Platform System Elkhodary, Abdullah I.; Erkan , Feyza; Aburas , Abdurazzag A.
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.7.2.259

Abstract

In today’s digital landscape, online assessments have emerged as a pivotal element of educational systems worldwide. However, the rise of online examinations has also been accompanied by a troubling increase in cheating incidents. Research highlights that the most prevalent forms of online exam fraud include unauthorized access, screen sharing among students, and impersonation of test-takers. In response to these challenges, we introduce "Beykoz Honor," an innovative online exam platform meticulously engineered to incorporate a suite of advanced anti-cheating features. This platform employs multi-factor authentication (MFA) to ensure that only legitimate users can access assessments. Additionally, a browser lockdown mechanism restricts navigation away from the exam interface, while IP and device tracking enable monitoring of candidates to prevent fraudulent activity. Furthermore, question randomization adds another layer of integrity by altering the order and selection of exam questions for each student. Research has consistently shown that these comprehensive measures significantly mitigate the risks associated with academic dishonesty. This paper examines the architecture of the Beykoz Honor system, outlines its phased implementation strategy, and conducts a thorough market analysis with a particular focus on Turkish universities. Looking toward the future, we discuss ambitious plans to integrate artificial intelligence to detect irregularities during assessments. Real-time monitoring solutions are also on the horizon, adding yet another dimension to the platform's capability to uphold academic integrity. These innovations represent ongoing efforts to enhance the efficacy and reliability of online examinations, ensuring a fair and equitable assessment environment for all students.
Accuracy Comparison Between Easy Qibla and Total Station Kasim , M. I. S.; Shariff , N. N. M.; Hamidi , Z. S.
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.7.2.260

Abstract

Easy Qibla is a mobile app developed by ESERI, UniSZA which provides, other than direction of qibla, azimuth and altitude of the Sun and the Moon on actual time. This data is regularly used by falak or astronomy researchers, therefore the accuracy is critical. This study aims to compare azimuthal data accuracy provided by Easy Qibla and total station by measuring actual azimuth of the Sun and the Moon. A total station is erected on station 1 with station 2 set as the reference object (RO). The azimuth of station 2 from station 1 is pre-determined by GPS device. Sixty-nine readings were taken by observing both the Sun and the Moon. In each observation, screenshots of Easy Qibla were taken, thus capturing the actual time azimuth. The corresponding azimuth of the Sun or the Moon shown on the total station display was recorded. Both readings are tabulated and subtracted to obtain the errors. Results after sixty-nine readings show that the lowest error is 0.0002°, while highest error is 0.26°, with an average of 0.06°. Data collected on another day may give different results due to the differences in the declination of the Sun. The errors are inclusive of, but limited to, human error and total station error. In conclusion, the result shows that the errors are insignificant in considerably low accuracy field of studies like determining qibla or new moon observation.
Fuzzy Logic and IoT-Based Monitoring for Solar-Powered Precision Mist Irrigation Hidayat, Imam; Dani , Akhmad Wahyu; Amin , Mawardi; Hermala , Irvan; Abdurohman
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.7.2.261

Abstract

The increasing unpredictability of environmental conditions, such as temperature fluctuations, humidity variations, seasonal shifts, and changing water availability, presents a significant challenge for sustainable food production. The increasing unpredictability of environmental conditions, including temperature fluctuations, humidity variations, seasonal shifts, and changing water availability, poses a significant challenge for sustainable food production. Although they are suitable for simple decision-making, conventional Type-1 Fuzzy Logic-based irrigation systems struggle to manage sensor noise, environmental uncertainty, and changing field conditions, resulting in sometimes ineffective water use and uneven irrigation management. This work presents a solar-powered mist irrigation system that integrates Interval Type-2 Fuzzy Logic (IT2FLS) and Internet of Things (IoT) technologies to improve precision irrigation management and address these issues. The proposed system employs IoT-based real-time environmental monitoring via Blynk and ThingSpeak to enable dynamic irrigation adjustments in response to temperature and soil moisture fluctuations. Type-2 Fuzzy Logic offers more reliable relay activation choices and greater robustness to sensor noise by incorporating Upper and Lower Membership Functions (UMF & LMF) and a Footprint of Uncertainty (FoU) than conventional Type-1 FIS. Experimental data demonstrate that the Type-2 Fuzzy model significantly reduces erroneous irrigation activations, maximizes water distribution, and increases system flexibility in response to environmental changes. Using solar power further improves energy efficiency, thereby reducing dependence on grid electricity and supporting environmentally friendly irrigation practices. This work demonstrates that, for contemporary agriculture, Type-2 Fuzzy Logic-based smart irrigation offers a scalable, flexible, and cost-effective alternative. This study shows how integrating renewable energy, advanced Type-2 fuzzy control, and IoT can create resource-efficient, adaptive irrigation systems supporting sustainable farming amid environmental challenges.

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