Journal of Information Technology and Computer Science
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.
Articles
11 Documents
Search results for
, issue
"Vol. 8 No. 3: December 2023"
:
11 Documents
clear
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
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.
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
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
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
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.
HiroPoseEstimation: A Dataset of Pose Estimation for Kid-Size Humanoid Robot
Rafly Azmi Ulya, Amik;
Hutama Harsono, Nathanael;
Mulyanto Yuniarno, Eko;
Hery Purnomo, Mauridhi
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.202383568
Pose estimation is a field of computer vision research that involves detecting, associating, and tracking data points on body parts. It is used for health monitoring, sign language understanding, human gesture control, elderly activities, sports, and humanoid robot pose estimation. The anatomy of a humanoid robot is similar to a human, which forms the basis for utilizing humanoid robot pose estimation. The Humanoid League is a major domain of the RoboCup competition, featuring soccer matches between humanoid robots. Pose estimation is used to measure the robot’s performance. Nevertheless, there have not been many research done on this subject. A new dataset model needs to be developed to solve the proposed problem. This work introduces HiroPoseEstimation, a kid-size humanoid robot dataset with several types of robots used in various poses based on movements in a soccer game. It is evaluated with both bottomup and top-down approaches using keypoint mask R-CNN and single-stage encoder-decoder model. Both methods demonstrate good performance on the proposed dataset.
Performance Evaluation of Tilt-based Vehicle Accident Report System Using Triple Modular Redundancy
Primananda, Rakhmadhany;
Bagus Prabowo, Bayu;
Budi, Agung Setia;
Tri Ananta, Mahardeka;
Abidin, Zainul
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.202383569
A vehicle accident report system was designed to detect accidents accurately and send message to related person. However, after accident, some components or modules can be damaged and it may cause failure of accident detection. Therefore, Triple Modular Redundancy (TMR) method was implemented in the system to mask faults within the modules and ensure the system to continue working. TMR is one of passive hardware redundancy methods. The system includes three MPU-6050 sensors functioning as vehicle tilt sensors to provide hardware redundancy, a TC9548A module serving as an I2C multiplexer, an Arduino Nano acting as a microcontroller and voter, and a NodeMCU ESP8266 responsible for transmitting message. Based on experiment results, the TMR system has a reliability value of 0.9928, a failure rate value of 0.0004/cycle, and accuracy of 3 sensor value of 85%. While, the non-redundancy system has a reliability value of 0.9286, a failure rate value of 0.0053/cycle, and accuracy of single sensor value of 57%. The results of the system process were sent to and displayed via an e-mail. It can be concluded that the TMR system has better performance than the non-redundancy one.
Data Delivery Implementation on River Flow Control System Prototype Using HTTP
Ichsan, Mochammad Hannats Hanafi;
Akbar, Sabriansyah Rizqika;
Aji, Hamdan Malik Satriyo;
Setiawan, Eko;
Batubara, Othman Mirizi
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.202383570
Data transmission is one of the most essential components in a critical system. One of them is to control the river water canal. Previous research related to water canal monitoring has been carried out, but the data is still local. This research implements a water canal with one main river with three tributaries/river branches where the three tributaries have different area conditions. In this research, the process of sending data from the sensor node (Control Flow System) to the master node (Control station) to the cloud server to be displayed on a website. The microcontroller used for the main processor and as a data-sending device is the ESP8266 and the cloud server used is ThingSpeak. This research succeeded in implementing HTTP for the process of sending data. The HTTP protocol is suitable for the process of data delivery. Sending data on the Control Flow System to the Control Station was successfully sent optimally at a distance of 3 meters with the "Good" classification according to the TIPHON standard. Meanwhile, the average data is sent from the Control Station to the cloud server in about 44 seconds.
Implementation of Lora and CoAP Protocol in Hydroponic Plant Water Pump Control
Nurwarsito, Heru;
Pradana, Kevin Dion Andre
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.202383571
Hydroponics is the cultivation of plants without using soil media, but using water media that contains nutrients and minerals. To observe the growth parameters of hydroponic plants, it is still necessary to come directly to the hydroponic site and provide the nutrients needed manually. In time efficiency, the use of Internet of Things (IoT) is needed so that there is no need to come directly to the hydroponic site. LoRa is a Low Power Wide Area Network (LPWAN) communication system. This research uses sensor nodes, middleware, and client nodes as well as the Constrained Application Protocol (CoAP) protocol for clients to access the value of sensors to control automatic pumps so that nutrients for plants can be given directly without the need to come to the hydroponic site. The result of the implementation is that the water pump control can run properly until the plants can be harvested. The performance testing is done so that LoRa can transmit data at a distance of 1 km with an RSSI value of -114 dBm.
Evaluation of the Success Nutrition Fulfillment Campaigns Through Diet in People with Autistic Disabilities Based on Prototyping Tasks in Design Thinking
Silfiatul Ulumiyah;
Mochamad Chandra Saputra;
Retno Indah Rokhmawati
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.202383598
Consideration of people, problems, and context is part of the design thinking approach to problem solving. Redefining complicated problems effectively can benefit greatly from this method. Specifically in this study, the development of the nutrition fulfillment application program for autistic children. The calculation of the percentage of test participants who successfully completed the task was 94.3%. The prototype provides high effectiveness based on the assigned task related to the daily diet food menus for autism. The results of the evaluation of the efficiency aspect present a value of 0.085 goals/sec which means that test participants completed 1 task in about 11.76 seconds and is more efficient than the manual process. The result of satisfaction evaluation based on SUS shows that average of the result of the questionnaire is 72 from 100 means that the user easily operates the prototype.
Architectural Design of Representational State Transfer Application Programming Interface with Application-Level Base64-Encoding and Zlib Data Compression
Pinandito, Aryo;
Kharisma, Agi Putra;
Jonemaro, Eriq Muhammad Adams
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.202383619
Representational State Transfer (REST) is an architectural style that underlies the protocol of HyperText Transfer Protocol (HTTP)and is used by web applications. The implementation of REST principles in web services is often known as RESTful API. The standard communication used in RESTful APIs uses HTTP without involving data compression. There are quite a lot of RESTful API clients in the form of mobile applications that use metered networks. Thus, reducing the required bandwidth during transmission is suggested to be beneficial. The data compression technique is widely known to reduce data size, but this additional step may yield side effects such as increased memory usage and processing time. This study aims to investigate how the data compression process, which specifically uses Zlib and Base64 encoding, may put additional load on the whole process of delivering content to a RESTful API. The performance and characteristics in terms of bandwidth saved when distributing JSON data from a RESTful API in compressed format are also be investigated. According to the experiment result, it is suggested that the compression process can reduce network bandwidth by up to 66% with negligible additional memory usage for the compression and decompression processes.