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All Journal Journal of Politic and Government Studies EKONOMIA Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Construction and Material Journal Joong-Ki
Agung Setia Budi, Agung Setia
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Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science

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Journal : Journal of Information Technology and Computer Science

 1 
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

Abstract

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.
K-Value Effect for Detecting Stairs Descent using Combination GLCM and KNN Satria Bahari Johan, Ahmad Wali; Utaminingrum, Fitri; Budi, Agung Setia
Journal of Information Technology and Computer Science Vol. 5 No. 1: April 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1299.817 KB) | DOI: 10.25126/jitecs.202051144

Abstract

This study aims to analyze the k-value on K nearest neighbor classification. k-value is the distance used to find the closest data to label the class from the testing data. Each k-value can produce a different class label against the same testing data. The variants of k-value that we use are k=3, k=5 and k=7 to find the best k-value. There are 2 classes that are used in this research. Both classes are stairs descent and floor classes. The gray level co-occurrence matrix method is used to extract features. The data we use comes from videos obtained from the camera on the smart wheelchair taken by the frame. Refer to the results of our tests, the best k-value is obtained when using k=7 and angle 0° with accuracy is 92.5%. The stairs descent detection system will be implemented in a smart wheelchair
Interactive Design of 3D -Tactile Map for Visual Impairment people Arif, Muhammad; Ramdani, Fatwa; Budi, Agung Setia
Journal of Information Technology and Computer Science Vol. 6 No. 2: August 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2214.307 KB) | DOI: 10.25126/jitecs.202162292

Abstract

on maps. In general, the map can only be used by users who are can see visually and blind people have difficulty reading the map because there is no map for the visual impairment in 3D. This map has the advantage of being printable so that it is easy to understand and use for blind users. Amid the development of the map, the authors developed a 3D interactive map design that can accommodate the needs of blind users. This development is generated from DSM data through aerial surveys using drones altered to produce a smoother surface so that it can be reconstructed into a 3D design and analysis of the level of texture density and the level of conformity to the real or original shape and reconstruction using aims to improve and model. Shape to fit the 3-dimensional printing process. The voice module is installed using the RFID Tag identification that is embedded in the 3D map and the RFID Reader in the user's hand, with voice data processing. This innovation that has been developed has the advantage of having a 3-dimensional shape that can be felt, texture, shape, and height equipped with braille-shaped markings that are specially made using Riglet for easy reading and sound as a support to improve the blind's people spatial understanding and spatial literacy.
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.
Co-Authors Achmad Basuki Aditama, Andika Wisnu Aditya, Raihan Athallah Agus Hamdani Ahmad Wali Satria Bahari Johan Albert, Muhammad Zaidan Alfariz, Zulfi Ananta, Muhammad Zuman Arsyada, Muhammad Afifudin Bagus Prabowo, Bayu Cahya, Vicky Fadillah Eka Dahnial Syauqy Dainendra, Mochammad Ravi Dharmawan, Fakhriz Thoriqo Djodi, Samuel Endaraditiya, Okta Trio Fatwa Ramdani, Fatwa Hakim, Dicky Fauzan Harahap, Syazwandy Huda, Heris Warli Ibnu, Mohammad Jojok Widodo Soetjipto Kinanti, Aisha Putri Kurniawan, Rizaldy Ariobimo Muhammad Arif Muhammad Iqbal, Rizky Muharom, Nur Qodir Wajid Nur Hidayat Sardini Pranowo, Khansa Muhammad Garanadi Rakhmadhany Primananda, Rakhmadhany Ramadhani, Rizky Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Renanta, Alexius Andrianno Alfa Santoso, Bayu Saputra, Muhammad Aditya Darma Sholicha, Nanda Amaliatus Siahaan, Matthew Kevin Sigalingging, Willy Septian Andreas Simamora, Rambel Bastian Sugiharto, Muhammad Esel Syamsul Arifin Taufiqurrachman Taufiqurrachman Tri Ananta, Mahardeka Trikusuma, Naufal Farras Utama, Arlingga Utaminingrum, Fitri Wahyudi, Mohammad Rizki Wibawa, Adytia Candra Zainul Abidin