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INDONESIA
Journal of Information Technology and Computer Science
Published by Universitas Brawijaya
ISSN : 25409433     EISSN : 25409824     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
The Journal of Information Technology and Computer Science (JITeCS) is a peer-reviewed open access journal published by Faculty of Computer Science, Universitas Brawijaya (UB), Indonesia. The journal is an archival journal serving the scientist and engineer involved in all aspects of information technology, computer science, computer engineering, information systems, software engineering and education of information technology. JITeCS publishes original research findings and high quality scientific articles that present cutting-edge approaches including methods, techniques, tools, implementations and applications.
Arjuna Subject : -
Articles 245 Documents
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User Experience Evaluation of the Internal Quality Assurance System Application of UIN Malang Using the User Experience Questionnaire Illahi, Nabil Rahmad; Supriyono
Journal of Information Technology and Computer Science Vol. 9 No. 3: December 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.93528

Abstract

User experience can be a measure of acceptance of an application. The user experience measurement aims to provide input in evaluating the development, improvement and maintenance of the UIN Maulana Malik Ibrahim Malang Internal Quality Assurance System (SPMI) application based on the level of user experience using the User Experience Questionnaire (UEQ). 6 aspects of UEQ were chosen because they have advantages over the others. User trust can decrease, even lead to frustration when a user experiences a failure in the user experience. It is feared that the data entered into the SPMI application is inaccurate or seems perfunctory. This has the potential to affect the evaluation and improvement of each study program. This research was conducted to SPMI admins from each study program at UIN Maulana Malik Ibrahim Malang. The results of measuring user experience from the SPMI application of UIN Maulana Malik Ibrahim Malang showed positive evaluation results with categories above the average, namely in the aspects of perspicuity (1.712), dependability (1.470), and stimulation (1.167), novelty (0.917). Meanwhile, in terms of attractiveness (1.626) and efficiency (1.864). The results are included in the good category, but efforts still need to be made to improve the quality of the novelty to be more innovative in its development.
A Quick Survey on the Application of Augmented Reality in Education Dermawi, Rizdania; Riono, Sapto Hadi; Hadiatulloh, Dimas Rega
Journal of Information Technology and Computer Science Vol. 9 No. 3: December 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.93551

Abstract

Current conditions, especially the Covid-19 pandemic, force us to conduct online education. However, its implementation must be considered carefully to avoid becoming boring. The use of exciting technologies such as augmented reality can be an option. This scientific paper is a short review of the last ten years of studying AR technology in various fields of education. The evaluation of these previous studies shows that AR is a technology with great potential to be applied in education. However, the survey also demonstrates the limits of AR, which could be tended to in future research.
Patterns of Partnership between Vocational Schools and Industry (Multi Case Study at VHS of Yosonegoro Magetan and State VHS 1 of Doko) Zustina; Yoto; Wahyu Herwanto, Heru
Journal of Information Technology and Computer Science Vol. 9 No. 3: December 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.93597

Abstract

In the implementation of partnerships between SMK and industry so far, there are still problems such as the link and match between SMK and the industrial business world which has not yet led to the formation of a synergistic partnership. Therefore, this research aims to analyze the study of partnership patterns between SMK and PT Advantage SCM. This research method uses a qualitative approach with a multi-case study. The location of this research is at SMK Negeri 1 Doko and SMK Yosonegoro Magetan. The results showed that the planning of the partnership pattern between SMK and PT Advantage SCM was by conducting an MoU and synchronizing the curriculum. Then require teachers and students to take part in internships. Furthermore, the process of collaborating with the graduate distribution program by placing students in banks throughout Indonesia that work with PT Advantage. Supporting factors are adequate facilities and infrastructure and enthusiasm and motivation from the school and industry. The impact of the implementation of the partnership pattern is that students become more enthusiastic and confident, SMK saves on practical costs and is more trusted by the community, and industrial business world can reduce costs for recruitment.
Village Data Backup and Disaster Recovery: A Comparative Study of Cloud Solutions with Traditional Methods Prasetio, Barlian Henryranu; Edita Rosana Widasari; Adi Setiawan; Hanifa Maulani Ramadhan
Journal of Information Technology and Computer Science Vol. 9 No. 3: December 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.93681

Abstract

This study presents a comparative analysis of traditional disk-based and cloud-based Backup and Disaster Recovery (DR) approaches, focusing on the challenges inherent in existing solutions, such as high infrastructure costs, extended recovery times, and operational disruptions during software updates. Conventional disk-based systems often require periodic reboots and manual interventions, which can interrupt ongoing operations. In contrast, cloud-based solutions, particularly Asigra, offer a streamlined alternative by reducing infrastructure dependency, enhancing recovery metrics—specifically Recovery Point Objective (RPO) and Recovery Time Objective (RTO)—and minimizing maintenance downtime through agentless and incremental backups. Cloud backup provides comprehensive upgrades without the need for system reboots, thereby saving time and improving operational effectiveness. This study evaluates the proposed cloud-based approach in a village government organizational environment, analyzing its performance based on Total Cost of Ownership (TCO), RPO, and RTO. Cloud-based configurations are compared with traditional setups to assess improvements in disaster recovery procedures and data storage. Findings demonstrate that cloud-based strategies offer simpler and more efficient DR solutions, providing superior scalability, reliability, and administrative ease tailored to the unique needs of village government data management.
Technology Acceptance Model (TAM) on distance learning in University of Brawijaya Mega Yuda Rukmana; Fitra Abdurrachman Bactiar; Sabriansyah Rizqika Akbar
Journal of Information Technology and Computer Science Vol. 9 No. 3: December 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.93724

Abstract

The shift from traditional classroom settings to online learning has become prevalent in most higher education institutions. A key tool facilitating this transition is the Learning Management System (LMS). Commonly used e-learning platforms include Google Classroom and Zoom. This research was aimed to identify the factors that influence the students’ acceptance of technology in the education field. It involved the master's students in the computer science program at Brawijaya University as the participants. To fill in the gap in the previous research, the research employed the Technology Acceptance Model (TAM), incorporating additional external factors such as the impact of application features and their interoperability. The methodology involved formulating hypotheses and using path analysis to examine the relationships between these factors. The results revealed that the variables PE, PEX, EEX, FC, PI, and PA influence both Perceived Ease of Use (PEOU) and Perceived Usefulness (PU), with values of significance below 0.05. Similarly, PEOU and PU are shown to significantly affect actual system use.
Multi-Lane Automated Catfish Seed Counting System Using Real-Time Operating System on Embedded Platforms Santoso, Bayu; Syauqy, Dahnial; Budi, Agung Setia
Journal of Information Technology and Computer Science Vol. 10 No. 1: April 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025101412

Abstract

Catfish (Clarias batrachus) is a widely consumed food source in Indonesia, making its cultivation an essential aspect of the aquaculture industry. During the cultivation phase, catfish seeds, typically ranging from 2 to 10 cm in length, are sorted by size and counted. Conventional methods employed by seed sellers, including manual hand-counting, measuring cups, and weighing scales, are often labor-intensive and prone to inaccuracies. To enhance efficiency and reduce counting errors, this study proposes an automated catfish seed counting system. The system is designed to rapidly and accurately classify catfish seeds into three size-based categories while simultaneously counting them. A Real-Time Operating System (RTOS) is implemented to ensure concurrent processing, enabling the detection of seeds passing through three independent sensor lines. The proposed system utilizes three infrared sensors for seed detection, an LCD for real-time result display, and an RTOS deployed on an Arduino Uno platform. RTOS executes four tasks: three sensor reading tasks corresponding to each detection line and an idle task for displaying results. Experimental validation, conducted using 40 catfish seeds across 15 trials, demonstrates the system’s effectiveness, achieving an average counting accuracy of 97%. These findings indicate the potential of the proposed system to improve the precision and efficiency of catfish seed counting in aquaculture operations.
Analysis of Indonesian Public Satisfaction Towards Goods Delivery Services using the CNN-LSTM Model Sadhaka, Anak Agung Istri Prabhaisvari; Agus Dwi Suarjaya, I Made; Buana, Putu Wira
Journal of Information Technology and Computer Science Vol. 10 No. 1: April 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025101507

Abstract

The fast-paced development of e-commerce in Indonesia has driven the expansion and rising demand for goods delivery services. Every goods delivery service offers consultations or Q&A sessions about their services through Twitter. The number of tweets from users of goods delivery services can be used to determine the level of public satisfaction with these delivery services. The sentiment analysis process is conducted using a CNN-LSTM deep learning model. Evaluation of the CNN-LSTM model resulted in an accuracy of 0.838, an F1-score of 0.838 for the macro average and micro average, a precision of 0.840 for the macro average and 0.838 for the micro average, and a recall of 0.840 for the macro average and 0.838 for the micro average. Based on the results of analysis, it was found that Indonesian people tend to be dissatisfied with existing delivery services.
Transfer Learning Methods for Hate Speech Detection in Bahasa Indonesia Fairuz Astari Devianty
Journal of Information Technology and Computer Science Vol. 10 No. 1: April 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025101542

Abstract

Communication is becoming more accessible with the growth and emergence of social media platforms. However, this can be misused, such as for spreading hate speech. Building an efficient hate speech detection model requires sufficient annotated data to train the model. However, this is difficult as it requires more data for low-resource languages like Bahasa Indonesia. To address this issue, we study whether the transfer learning method can yield improved results. This study performs extensive experiments to show that transfer learning methods are suitable for low-resource hate speech prediction. Our experimental results show that transferring knowledge using a multilingual pre-trained language model and translating hate speech datasets as additional data can improve the performance of detecting hate speech in Bahasa Indonesia. By using the XLM-RoBERTa-based hate speech model for transfer learning improved the F1-score for hate speech detection in Bahasa Indonesia by 78%. Meanwhile, translating the data from English as additional data for training and using the BERT model to detect hate speech in Bahasa Indonesia improved the F1-score from 60% to 69%. These results were statistically proven by the McNemar test and evaluated using the ROC-AUC score.
Opportunities of Artificial Intelligence for Authentication and Assurance of Halal Products Mahmudy, Wayan; Kurnianingtyas, Diva
Journal of Information Technology and Computer Science Vol. 10 No. 1: April 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025101661

Abstract

The need for Muslims to obtain halal food encourages the development of systems that can assist in the authentication and assurance of halal products. Various Artificial Intelligence (AI) based systems have been developed to meet these needs. AI is a technology that enables computers to understand, learn, and perform tasks that would typically require human intelligence and reasoning to act and make decisions. With the help of high-speed computers, AI algorithms learn patterns in available data and perform assigned tasks with high accuracy and efficiency. This study focusses on the application of AI for the identification, monitoring, verification and validation of halal products. Also, this paper limits the discussion to food products with the topics of (1) Inspection of raw materials and detection of contamination to ensure the halalness of raw materials (2) Market monitoring and recommendation of halal restaurants to help Muslim consumers. The consumers were looking for a restaurant that suits their needs and preferences (3) Verification of halal certification to ensure that the certification given to the product comes from a competent and trustworthy authority.
Technostress and Student Well-Being in Islamic Boarding Schools: The Impact of Restricted Gadget Use on Academic Performance and Life Satisfaction Silfiatul Ulumiyah; Mochamad Chandra Saputra; Budi Darma Setiawan
Journal of Information Technology and Computer Science Vol. 10 No. 1: April 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025101679

Abstract

Some boarding schools prohibit the use of gadgets in daily life. Prohibition of the use of gadgets makes students unable to keep up with the development of existing information technology, so it can affect the ability of students to operate information technology related to their utilization of information technology. Students feel dissatisfied with their gadgets because they feel left too far behind with existing technological developments. This dissatisfaction affects individual motivation to accept the development of information technology, causing discomfort, stress, and even fear when dealing with information technology. The rapid growth of technology, but the lack of access for students, can lead to technostress. Technostress has five components: techno-overload, techno-invasion, techno-complexity, techno-insecurity, and techno-uncertainty. This study aims to determine the effect of limiting gadget use on technostress, which affects students' academic performance and life satisfaction. Statistical analysis using PLS-SEM was conducted in this study. Statistical results show that restrictions on gadget use can cause techno-complexity (51.7%) and techno-insecurity (14.5%) in students. However, techno-complexity and techno-insecurity do not affect students' academic performance. On the other hand, techno-insecurity affects the decrease in students' life satisfaction (21.7%) and academic performance (14.1%). Techno-uncertainty affects the reduction of students' academic performance (10.9%).

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