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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 284 Documents
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Multilabel Classification for Keyword Determination of Scientific Articles Rafif, Sulthan; Setya Perdana, Rizal; Pandu Adikara, Putra
Journal of Information Technology and Computer Science Vol. 8 No. 2: August 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202382560

Abstract

In writing scientific articles, there are provisions regarding the structure or parts of writing that must be fulfilled. One part of the scientific article that must be included is keywords. The process of determining keywords manually can cause discrepancies with the specific themes discussed in the article. Thus, causing readers to be unable to reach the scientific article. The process of determining the keywords of scientific articles is determined automatically by the classification method. The classification process is carried out by determining the set of keywords owned by each scientific article data based on the abstract and title. Therefore, the classification process applied is multi-feature and multi-label. Classification is done by applying the Contextualized Word Embedding Method. The implementation of Contextualized Word Embedding Method is done by applying BERT Model. By applying the BERT Model, it is expected to provide good performance in determining the keywords of scientific articles. The evaluation results by applying the BERT Model to the case of multi-label classification on abstract data for keyword determination resulted in a loss value of Training Data is 0.514, loss value of Validation Data is 0.511, and an accuracy value of 0.71, a precision value of 0.71, a recall value of 0.71, an error value of 0.29 and f-1 score of 0.83. Based on the results of the evaluation, it shows that the BERT Classification Model can carry out a classification process to determine a set of keywords from each abstract data in scientific articles.
User Experience Design Sales Performance and Sales Person Productivity Application MTFSales Using Human Centered Design Method (Case Study: PT Mandiri Tunas Finance) Eldi Romadhona, Safira; Rokhmawati, Retno Indah; Priharsari, Diah
Journal of Information Technology and Computer Science Vol. 8 No. 2: August 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202382562

Abstract

PT Mandiri Tunas Finance is a company engaged in financing new or used cars, motorcycles, and commercial vehicles, with a network of 102 branches spread throughout Indonesia. In its business process, sales performance monitoring is still considered ineffective, because the information about sales performance is in the form of an excel calculated manually. The salesperson could not monitor it directly. This study aims to produce a MTFSales application design using Human Centered Design. The prototype was tested using the user testing method and the SUPR-Q questionnaire. The results of the test using user testing are positive results with some suggestions from users. The test results using the SUPR-Q method for sales officers are 88.19%, sales heads are 88.65% and branch managers are 83.81%. All three are in the excellent and acceptable categories so it can be said that the design can be accepted by the users.
ChemVirtual Lab: Gamified Learning Experience on Reaction Rate Topic to Improve Learning Outcomes Rokhmawati, Retno Indah; Sholihah, Tuffahati; Sahasika Laksmana, Kumara; Pramudita, Rizky; Sambata Sarborn, Ibrahim; Hendra Brata, Adam
Journal of Information Technology and Computer Science Vol. 8 No. 2: August 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202382563

Abstract

This study aims to improve student learning outcomes through gamification of chemical learning media. As we know that chemical material, especially reaction rates, is abstract in nature, so it is quite difficult to convey this concept to students. Because the measured compounds vary greatly in terms of concentration, this material has complex features. However, in real conditions, students have limited access to chemical laboratory equipment, so learning media is needed that considers aspects of people, problems, and context to provide learning experiences like real laboratories.  ChemVirtual Lab is a learning tool that combines immersive learning experiences with game elements to improve students' learning outcome by allowing them to direct their own learning and inspiring them to think creatively and innovatively. The primary model in this study is the ASSURE learning media development paradigm. Evaluation of the usage of educational media was conducted to ascertain factors of satisfaction and usefulness with 3 media experts and 3 material experts. According to the six experts' test results, it would be possible to implement the media. Then the media was implemented to 62 high school students who were studying Rate of Reaction material. The Paired Sample T-Test was used to examine the effectiveness of the media's implementation, and the results revealed significant differences in learning outcomes as well as a tendency for post-test scores to rise above pre-test results.
Cover and Table of Contens Purbosari, Lina
Journal of Information Technology and Computer Science Vol. 8 No. 2: August 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202382587

Abstract

Cover and Table of Contens
The Vocational High School Student’s Computational Thinking Skills Comparison between Online and Offline Instructional Process in The Computer Network Subject Context Herlambang, Admaja Dwi; Nugraha Kresna Mukti; Satrio Hadi Wijoyo
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92489

Abstract

This study aims to see how high the difference in the average score of computational thinking skills is owned by students who carry out online learning with students who carry out offline learning and how high the significance level of the difference in the average score is. The approach used in this study uses assessment tools to measure the scores of students’ computational thinking skills. Sampling was done using a non-probability sampling technique for the 12th-grade students in computer network subjects of vocational high school. The mechanism used in this study was to provide research questions to each respondent under the learning mechanism, each of which consisted of 15 students. Based on the results of statistical calculations, it was found that the average/mean of the online mechanism group was 13.27, and the offline group was 17.73. In the Mann-Whitney U test, a score of 0.159 was also obtained. Comparison of the Mann-Whitney U test results with the test rules of 0.159 > 0.05. The conclusion is that there is a difference between the scores of the computational thinking skills of students who carry out online and offline learning, but this difference is not significant.
COVID-19 Detection on Chest X-Ray Images Using Modified VGG-19 Muhammad Irfan Yusuf; Agus Wahyu Widodo; Viera Wardhani
Journal of Information Technology and Computer Science Vol. 8 No. 3: December 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202383503

Abstract

A global pandemic infecting human respiratory system identified as COVID-19 emerged in 2019 has been a critical issue concerning worldwide, including Indonesia. The massive and relatively easy spread of the virus requires COVID-19 patients to be separated from other patients to avoid hospitals being the major source of the virus spread. The gold standard in COVID-19 testing known as rRt-PCR was established to help detecting the virus. This method, however, is found to be less time-efficient due to the sample examination taking 5-7 hours to conduct. Another COVID-19 testing method called Rapid Antigen Test is claimed to be more practical since the sample examination only takes 5-30 minutes to complete. One disadvantage of this testing method is its sensitivity, which is believed to be relatively low. Further supporting examinations are needed in diagnosing COVID-19 when using the Rapid Antigen Test, one of which is chest imaging. Most hospitals in Indonesia are type C hospitals, which means radiology specialists’ availability is limited and sometimes not available. Therefore, it is necessary to develop an automation system for detecting COVID-19 disease on chest X-ray images using the Convolutional Neural Network method to help doctors interpreting chest X-rays of patients effectively faster in determining whether the patient is potentially infected with COVID-19 or not. The algorithm proposed in this study was modified VGG-19, with ADAM optimization method and categorical cross-entropy loss function. This algorithm resulted in a model accuracy rate of 81%, a precision/recall model of 62%, and a specificity model of 87%. The area under the curve in the Receiver Operatic Characteristic Curve indicates that the accuracy level of the test is below the Excellent curve, suggesting that the model created successfully serves as a screening test tool.
Data Collision Avoidance based on TDMA in LoRa Wireless Sensor Networks Bhawiyuga, Adhitya
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92548

Abstract

Wireless Sensor Network has an applicative function and a broad discussion area so that it becomes an interesting research topic to discuss. WSN connects communications from several nodes in one network. In order to make each data can be sent, a communication module is needed. LoRa is a communication module that allows each node to make long range communication. However, one of the issues of WSN is that every communication on the node to exchange data uses a time reference from the respective local clock. The difference in time reference in each node will interfere with the process of arranging the communication time scheduling in each node. Time scheduling is necessary to avoid data collision, to apply low power to the system, and to schedule two-way transmissions on LoRa. To manage a scheduling, the time synchronization method is required to apply to equalize the time in each node in a network. The algorithm for time equalization and dividing the time slot for data transmission between nodes on the WSN is the Timing-sync protocol for sensor networks (TPSN) and Time Division Multiple Access (TDMA). This paper will explain the wireless communication method using TDMA based on the LoRa communication module.
Application of Process Mining in the Process of IT Incidents Management by Utilizing Kaggle’s Dataset Anggraeni Xena Paradita; Fakhri Arya Fadhillah; Kanza Azzahra; Michael Christensen Bonar Kasparov; Rachmadita Andreswari
Journal of Information Technology and Computer Science Vol. 8 No. 3: December 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202383564

Abstract

The application of process mining in Information Technology (IT) incident management has been carried out. In the face of the increasing complexity of IT systems and a surge of incidents, traditional incident management is no longer effective. This study uses Kaggle's dataset on IT incident management to analyze event logs, identify process bottlenecks, and compare process flows seen in event logs with expected flows. Process mining techniques, such as process discovery and conformance, are applied using PM4PY and Celonis tools. The analysis results with process mining produce a new model process that can be applied in practice with a conformance rate of 81%.
Bottleneck and Rework Analysis of the Budget Approval at University with Process Mining Syakurnia, Barajati; Bryan Ronald Talisman; Sahra Bilqis Fauziyyah; Faturrahman; Rachmadita Andreswari
Journal of Information Technology and Computer Science Vol. 8 No. 3: December 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202383565

Abstract

Process mining is a new science that focuses on the transparency of an existing process. Especially in a world full of digitalization, of course, many companies, education, health are immediately competing in presenting the most efficient and effective processes to do. in this study the authors used Request for Payment data owned by a university. These requests will later be checked by the travel administration, this budget approval can be done by supervisors, directors, or fund owners. the author uses Celonis tools and algorithms in Celonis to identify bottlenecks and rework in the process. We also attempted to analyze where new insights could be drawn from the resulting process model. The result of this research is to pay special attention to several activities, as well as to provide explanations of the criteria related to the application to be submitted.
Low Packet Latency Using New Radio Duty-Cycle Scheduling Method Setyawati, Onny; Muhammad, Abdur R.; Basuki, Achmad
Journal of Information Technology and Computer Science Vol. 8 No. 3: December 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202383566

Abstract

As energy conservation in Wireless Sensor Networks is crucial, the scheduling methods are required to ensure that sensor nodes operate for a longer period. Duty cycle scheduling can be accomplished using synchronous, asynchronous, or on-demand methods with additional radio channels. This study has integrated the on-demand method with an asynchronous scheduling mechanism for the wake-up radio. Model simulation results with random placements showed that the Wake-up Asynchronous On-demand Radio Duty-Cycle (WAORDC) method was able to achieve the latency value of 3.3 seconds, better than the CXMAC asynchronous method, and the total energy required was approximately 4% only, to activate the sensor node.

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