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Journal of Information Technology and Computer Science
Published by Universitas Brawijaya
ISSN : 25409433     EISSN : 25409824     DOI : -
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
Rain Harvester Prototype Integration for Drinking Water Using IoT And Mobile Apps Muh. Fijar Sukma Kartika; Miftakhul Pebrianti Ningsih; Muhammad Aditya Darma Saputra; St. Shofiah Aghnani Alfi Laila Fq; Faris Febrian Hadianta; Mochammad Hannats Hanafi Ichsan
Journal of Information Technology and Computer Science Vol. 8 No. 1: April 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202381452

Abstract

The drought that hit Indonesia caused 8 provinces in Indonesia to experience a crisis of clean water and drinking water. Meanwhile, the rainy season in Indonesia occurs for 6 months, starting from November to April. The peak of the rainy season in Indonesia occurs in January, with an average maximum rain intensity of around >700 mm. Based on the situation from the massive potential of rainwater in Indonesia, the possibility to produce clean water and drinking water to overcome drought problems in the dry season. The resulting drinking water must qualify according to its standards. Therefore, the water quality produced from this prototype must be observed. The purpose of this study is to determine the reliability of the filter on the rainwater harvester. The water filter materials used are zeolite natural stone, activated carbon stone, and filter cotton, and further filters are carried out through the Ultrafiltration membrane and electrolysis process. Then the water can be monitored for quality through the user's device. The external water quality of the rainwater harvester is tested with acidity or pH, Total Dissolve Solid or dissolved solids, and Turbidity or water clarity. The change in water quality is seen in TDS, from 50 ppm to 203 ppm. In addition, water quality is seen from the pH of 6.1 to 6.9 and for Turbidity of rainwater which is 0 NTU. Rainwater harvesters can convert rainwater into drinking water. However, in the future, there must be further research on the quality of water produced from rainwater harvesters.
Enhancing River Monitoring Embedded System using Time Redundancy Fault Tolerance to Resolve Transient Sensor Fault Mochammad Hannats Hanafi Ichsan; Muhammad Adinura Julian Habibie; Wijaya Kurniawan
Journal of Information Technology and Computer Science Vol. 8 No. 1: April 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202381453

Abstract

Reading data from sensors in the context of the Internet of Things (IoT) is one of the main parameters of a high-reliability system. Data reading by sensors is prone to errors due to various variables that the problem cannot accommodate. One method to overcome this problem is the time redundancy algorithm, where the sensor takes data and its best value several times. In this study, the sensors used to calculate the water levels are ultrasonic sensors and resistance. At the river monitoring point, data is sent using the UDP (User Datagram Protocol) protocol that previous studies have used. This research has been done as a prototype with a maximum distance between sensor nodes of one meter. The results of sending data using UDP were successful, with an average delay of 3293 microseconds. And the ultrasonic sensor that has been tested based on transient fault against time redundancy has an accuracy of 94.5% based on a sampling delay of 1000ms.
Cover and Table of Contens Lina Purbosari
Journal of Information Technology and Computer Science Vol. 8 No. 1: April 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202381536

Abstract

Cover and Table of Contens
Development of Robotic Process Automation for Scraping Prospective Customer Data and Implementation Haversine in PT. XYZ Novila, Ninna; Emanuel, Andi Wahju Rahardjo; Adithama, Stephanie Pamela
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.202381434

Abstract

PT XYZ is a finance company that engages in lending. Its activities include branch offices, aiming to increase new customer acquisition. Prospective customer data is required to determine their potential and the location of the nearest branch office. PT. XYZ previously used a third party, but the result was not equal to what was required, and the company was forced to pay to obtain data equal to what was required. Google Maps is a data source that is utilized and freely accessible. This study scraped prospective customer data using robotic process automation. Robotic process automation was developed using UiPath with Google Maps and Plus Codes as data sources. The Haversine method is used to determine the location of the nearest branch office. 595 prospective customer records were obtained through robotic process automation using seven search keywords. The result for 579 prospective customers is correct, but the result for 16 is incorrect. Haversine Method applies to 582 prospective customer records; however, the remaining records lack latitude and longitude, making Haversine Method inapplicable.
Educational Media Development using Guided Discovery Learning Approach in Chemical Element Subject Renavitasari, Ivenulut Rizki Diaz; Tolle, Herman; Bachtiar, Fitra A.; Supianto, Ahmad Afif
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.202382448

Abstract

A chemical element is one of the materials in high school for chemistry subject. Students have difficulties in studying chemical elements due to ample theories that must be memorized. In addition, conventional learning models that tend to be one-way create boredom feeling towards students. The use of interactive educational media can be a solution to the learning process. This study tries to provide a solution by developing mobile-based educational media combined with guided discovery learning models to help the learning process of chemical elements in high school. The use of appropriate educational media can be used as an independent learning tool. This study uses Research & Development (R&D) combined with SAM Model to develop this educational media. Testing is using an expert validation approach for the prototype of educational media. This study adapted the Computer System Usability Questionnaire (CSUQ) to assess an aspect of the usability of educational media. To assess the content of the material in this educational media, this study uses an evaluation questionnaire from the subject matter and media experts. The development process is carried out in three iterations, namely the preparation stage, iterative stage, and iterative development stage. The results of this study show that the assessment of chemical elements in educational media has a score of 86.8% on its system usability according to media experts and a score of 90.5% on educational media content according to material experts. So, this educational media is feasible to be applied to high school students. Overall, this educational media got a good score on the pretest-posttest, where the effectiveness of using this educational media increased student learning outcomes with an N-Gain value of 80.62%.
Wearable Wireless Sensor Network for Mitigating COVID-19 Transmission Through Physical Distancing Niswar, Muhammad; Andani; Fachrurrozie Haris, Muhammad Ahlan; Basuki, Achmad
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.202382517

Abstract

The global community is currently facing a critical situation with the widespread transmission of the Covid-19 virus. The rapid increase in Covid-19 cases has necessitated immediate action and treatment. As the World Health Organization (WHO) recommended, maintaining a minimum distance of one meter between individuals is an effective preventive measure to avoid transmission through respiratory droplets. To address this issue, this paper introduces a cost-effective design and implementation of a wearable wireless sensor network using the ESP32 microcontroller and Bluetooth Low-Energy (BLE) technology that promotes physical distancing and contact tracing to mitigate the spread of COVID-19. In this research, we have determined that the safe distance between individuals is 1.5 meters. Proximity testing has indicated that an RSSI value of -62 dBm corresponds to a distance below 1.5 meters. Hence, we set -62 dBm as the distance threshold between wearable devices to ensure safe physical distancing. These wearable wireless sensor network devices are intended to assist individuals in maintaining a safe distance from others, thereby reducing the risk of COVID-19 transmission.
Advancements in Fire Alarm Detection using Computer Vision and Machine Learning: A Literature Review M Fadli Ridhani; Wayan Firdaus Mahmudy
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.202382554

Abstract

Fire is one of the most common and increasing emergencies that threaten public safety and social development. This can cause significant loss of life and damage. Fire detection systems play an important role in the early detection of fires. The purpose of this study is to provide a brief survey of the latest literature in the field, which can provide a foundation for researchers to develop a Fire Alarm Detection System with a Computer Vision and Machine Learning approach. The Computer Vision and Machine Learning approaches are popular and have been extensively studied because the advantages. The main challenges in fire detection systems are high false alarm rates and slow response times. This research presents potentials and emerging trends through Computer Vision and Machine Learning approaches for Fire Alarm Detection Systems in the future, including the selection of input features to the use of appropriate methods and the process flow of Fire Alarm Detection Systems.
Design of An Interactive Module for Historical Building Learning Using Board Game Puzzle Based On Multi-Marker Augmented Reality Prasetyo aji, Pujo; Tolle, Herman; Sakti Pramukantoro, Eko
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.202382556

Abstract

Augmented Reality (AR) technology is one of the new technologies that can display the virtual world into the real word. Augmented reality technology is widely applied into the educational field to help the learning process by representating an object in more realistic and detailed way. However, most of the implementations that carried out only using AR to show up an object from a single marker, even though there are still many ways on using AR functions to represent an information in more detailed and intersting ways. This study aims to develop a learning media to introduce histrorical building spesifically Indonesian Temple’s using multi-marker augmented reality. This study used ADDIE Model to develop suitable media for learning process. Based on the results of expert testing, the developed media obtained an avarage score 3,76 for media evaluation and 3,84 for material evaluation, which means the developed media was very feasible as a learning medium. Therefore, through this research we expect to provide a recommendation for AR application models using multi-marker AR method, futhermore the modules developed are intended to become information resource and learning material about historical building especially temples in Indonesia.
Comparative Analysis of the Use of State Management in E-commerce Marketplace Applications Using the Flutter Framework Akhmad Dinan Jatnika, Aditya; Akbar, Muhammad Aminul; Pinandito, Aryo
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.202382557

Abstract

This research aims to analyze the performance of two popular state management tools that have different system approaches, namely Riverpod and GetX, in developing marketplace applications using the Flutter framework. The marketplace type application used is Flutter ecommerce which is available as open source on the GitHub platform. This research aims to provide benefits to Flutter application developers in choosing the right state management tools for marketplace applications. The method used is to compare memory usage, execution time and CPU utilization of the two tools. Testing is done on the feature of displaying the home screen, search and add features. The results of the analysis obtained are that there are differences in memory usage and execution time for the three features and scenarios, GetX provides less memory usage with faster execution time. While in CPU utilization, there tends to be no performance difference between GetX and Riverpod. The conclusion is that GetX state management uses memory more efficiently and is able to provide faster execution time than Riverpod state management with better performance.
User Experience Design for Information Technology Career Preparation Platform Using the Design Thinking Method Tri Ananta, Mahardeka; Fanani, Lutfi; Adista Sihombing, Ivanna; Abidin, Zainul
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.202382559

Abstract

Digital talent is crucial in the thriving Information Technology (IT) industry. Hence, numerous countries seek digital skills to stay competitive in the current era. In Indonesia, the challenge lies not in quantity but in the readiness of digital talents to enter the professional world. To address this issue, we observed the IT career readiness of fresh graduates and senior students from the Faculty of Computer Science, Universitas Brawijaya. The observation revealed that 82.9% of 70 respondents stated doubts about their career preparations in the IT domain. These doubts stemmed from perceived inadequacy in technical skills, lack of readiness in developing a curriculum vitae and facing job interviews. Given the need for career preparation in the IT domain, we address the development of a platform to assist aspiring IT talents. This study proposes a solution as an IT career preparation application designed using the Design Thinking method The proposed design was tested using the Usability Evaluation, yielding an effectiveness rate of 100% and an efficiency value of 0.08 goals/sec. Furthermore, a satisfaction test was conducted using the SUS questionnaire, resulting in a score of 94.75 (excellent).