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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 5 Documents
 1 
Search results for , issue "Vol. 10 No. 1: April 2025" : 5 Documents clear
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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