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Journal of Information Technology and Computer Engineering
Published by Universitas Andalas
ISSN : 25991663     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Journal of Information Technology and Computer Engineering (JITCE) is a scholarly periodical. JITCE will publish research papers, technical papers, conceptual papers, and case study reports. This journal is organized by Computer System Department at Universitas Andalas, Padang, West Sumatra, Indonesia.
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Articles 186 Documents
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Control System Strategy for Ring Thrower Robot Based on PID-CSA for ABU Robocon 2023 Budiyarto, Aris; Ridwan, Ridwan; Akbar, Rizky Andhika
JITCE (Journal of Information Technology and Computer Engineering) Vol. 8 No. 1 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.8.1.38-48.2024

Abstract

Thrower Robot need to maintain system stability in carrying out their tasks, which require accuracy and stability while throwing the ring in different zones and have different distances and height, so the thrower robot needs to maintain the stability of the system in order to reach target properly. Maintain the stability of the thrower is important because of the physical task like throwing the ring. However, disturbance from external systems can affect the accuracy which can reduce the performance of the robot while performing their task. Therefore, system needs stable accuracy in performing the tasks despite interference. The control system is used to maintain acceleration and elevation in the process of throwing the ring so that it can reach the specified target. The implemented system uses Proportional, Integral and Derivative (PID) control based on the Cuckoo Search Algorithm (CSA). Function of PID control is to maintain a constant position at a certain target and CSA is used to simplify PID control tunning when it has some parameter modifications. Therefore, combination of PID-CSA is applied for this system to produce a control system that aims to maintain stability and reduce disturbances contained in the ring throwing robot based on manipulation. From the result obtained, the PID-CSA method has a better level of stability because it can reduce the percentage value of the error which produced by PID-TE by showing the percentage value of distance error up to 0.68% and value of angle error up to 2.39%.
UAV With the Ability to Control with Sign Language and Hand by Image Processing Hojaji, Hediyeh; Delisnav, Alireza; Ghafouri Moghaddam, Mohammad Hossein; Ghorbani, Fariba; Shafaghi, Shadi; Shafaghi, Masoud
JITCE (Journal of Information Technology and Computer Engineering) Vol. 8 No. 2 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.8.2.49-57.2024

Abstract

Automatic recognition of sign language from hand gesture images is crucial for enhancing human-robot interaction, especially in critical scenarios such as rescue operations. In this study, we employed a DJI TELLO drone equipped with advanced machine vision capabilities to recognize and classify sign language gestures accurately. We developed an experimental setup where the drone, integrated with state-of-the-art radio control systems and machine vision techniques, navigated through simulated disaster environments to interact with human subjects using sign language. Data collection involved capturing various hand gestures under various environmental conditions to train and validate our recognition algorithms, including implementing YOLO V5 alongside Python libraries with OpenCV. This setup enabled precise hand and body detection, allowing the drone to navigate and interact effectively. We assessed the system's performance by its ability to accurately recognize gestures in both controlled and complex, cluttered backgrounds. Additionally, we developed robust debris and damage-resistant shielding mechanisms to safeguard the drone's integrity. Our drone fleet also established a resilient communication network via Wi-Fi, ensuring uninterrupted data transmission even with connectivity disruptions. These findings underscore the potential of AI-driven drones to engage in natural conversational interactions with humans, thereby providing vital information to assist decision-making processes during emergencies. In conclusion, our approach promises to revolutionize the efficacy of rescue operations by facilitating rapid and accurate communication of critical information to rescue teams.
The Influence of Physical Tuning Technology on Voice Over LTE (VoLTE) zurnawita, zurnawita; Chandra, Dikky; zulya, fajru ju
JITCE (Journal of Information Technology and Computer Engineering) Vol. 8 No. 2 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.8.2.58-66.2024

Abstract

The Long-Term Evolution (LTE) technology is currently evolving in the cellular communication system. Currently, LTE technology is only used for faster internet data activities. Unfortunately, phone calls still rely on second-generation (2G) or third-generation (3G) networks. To improve the quality of voice calls, one of the ways is through the utilization of Voice Over LTE (VoLTE) technology. The reason for using VoLTE in fourth-generation (4G) networks includes the voice quality based on Internet Protocol (IP). This study analyzes the performance of VoLTE technology networks. Based on the data collected, the Reference Signal Received Power (RSRP) with a percentage of 37.73% falls into the Good category, Signal to Interference Noise Ratio (SINR) with a percentage of 55.32% falls into the Fair category, and Throughput with a percentage of 66.16% falls into the Poor category. In terms of delay, it has a score of 4, categorized as very good, jitter has a score of 3, categorized as good, and packet loss has a score of 4, categorized as very good. The optimization results using physical tuning show that the Reference Signal Received Power (RSRP) falls into the Good category with a percentage of 52.8%, Signal to Interference Noise Ratio (SINR) falls into the Good category with a percentage of 70%, and Throughput falls into the Very Good category with a percentage of 64.50%.
An In-depth Analysis of Rendered Models using Blender : A Research Result Raheem, Oluwafunmilayo; Omijeh, Bourdillon; Ibeachu, Chinagorom
JITCE (Journal of Information Technology and Computer Engineering) Vol. 8 No. 2 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.8.2.67-72.2024

Abstract

The research investigated the efficiency of a novel virtual reality (VR) method for anatomy education utilizing a web application designed for virtual dissection. This platform encompasses various features, including virtual dissection, quizzes, a chat forum, and direct messaging, transforming it into a virtual dissection classroom. To evaluate the efficiency of the virtual reality system we compared the web application with other existing web applications using parameters such as Accuracy, Precision, Jaccard index, Dice co-efficient, Processing time, and user rating. From the result obtained from the research in comparing the rendered models from this research with models from other work, the rendered models were able to achieve a Jaccard index of 0.93 and a dice coefficient of 0.94. It also achieved a remarkable average processing time of 15 seconds and a high user rating of 4.5.
Quality of Service Comparison of DSDV and DSR Routing Protocols for V2V Communication in VANET bintoro, ketut bayu yogha; Mukholladun, Muhammad Wildan
JITCE (Journal of Information Technology and Computer Engineering) Vol. 8 No. 2 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.8.2.73-82.2024

Abstract

The study evaluates the Quality of Service (QoS) performance of the Destination-Sequenced Distance Vector (DSDV) and Dynamic Source Routing (DSR) protocols in vehicle-to-vehicle (V2V) communication within a Vehicular Ad-Hoc Network (VANET) environment. Simulations were conducted to analyze key QoS metrics, including throughput, delay, and routing overhead, under various traffic densities and network dynamics. The results reveal that DSR excels in scenarios with rapid topology changes due to its lower routing overhead. At the same time, DSDV provides better route stability in less dynamic conditions, ensuring consistent performance. These findings underscore the importance of matching routing protocols to the specific requirements of V2V applications, such as real-time data exchange or traffic safety, to ensure informed decision-making. The study also highlights the potential for a hybrid protocol that integrates the stability of DSDV with the efficiency of DSR to address diverse VANET challenges and enhance overall QoS performance
The Role of Change Control Boards in Ensuring Cybersecurity Compliance for IT Infrastructure Zangana, Hewa Majeed; Mustafa , Firas Mahmood; Mohammed, Ayaz Khalid; Omar , Marwan
JITCE (Journal of Information Technology and Computer Engineering) Vol. 9 No. 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the dynamic landscape of information technology, maintaining cybersecurity compliance is a paramount concern for organizations. Change Control Boards (CCBs) play a crucial role in this context, serving as a governance mechanism to oversee and manage changes within IT infrastructure. This paper explores the significance of CCBs in ensuring cybersecurity compliance, focusing on their functions, processes, and impact on organizational security posture. Through a comprehensive review of existing literature and case studies, the research highlights how CCBs facilitate risk assessment, enforce policy adherence, and mitigate potential threats arising from changes in the IT environment. The findings underscore the importance of structured change management and suggest best practices for integrating cybersecurity considerations into the CCB workflow. By understanding the role of CCBs, organizations can enhance their ability to safeguard sensitive data and maintain regulatory compliance in an ever-evolving threat landscape.
Rancang Bangun Robot Tank Automatik Pendeteksi Halangan dengan Kendali Fuzzy Logic Badidi, Julianto Rebbi; Asri, Ervan; Aisuwarya, Ratna
JITCE (Journal of Information Technology and Computer Engineering) Vol. 2 No. 01 (2018)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.2.01.7-18.2018

Abstract

Robotics is a field of science that is developing rapidly, One of Robotic field is a wheeled robot whose sample application allows robots to explore automatically. But today, more research on the application of artificial intelligence in robot control is aimed at obtaining sophisticated kinematic control. In this final project, a wheeled robot will be designed with the ability to detect obstacles. As a control object is a robot tank that both wheels use a belt wheel and have a separate DC motor. A fuzzy logic controller functions to regulate the speed and direction of the robot's motion based on the input of the ultrasonic sensor. The design of robots based on the embedded microcontroller is designed using the C language. From the test results, that fuzzy logic can be embedded in the ATmega328 microcontroller control unit on Arduino Uno, so that a robotic motion can be avoided that can avoid obstacles properly. The closer the obstacle distance results in the sharpening direction of the robot and the more rigorous robot movement.
Rancang Bangun Instrumentasi Elektrokardiograf (EKG) dan Klasifikasi Kenormalan Jantung Pada Pola Sinyal EKG Menggunakan Learning Vector Quantization (LVQ) Maulana, Maulana; Hendrick, Hendrick; Aisuwarya, Ratna
JITCE (Journal of Information Technology and Computer Engineering) Vol. 2 No. 01 (2018)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.2.01.19-26.2018

Abstract

Electrocardiograph (ECG) is a recorder of human heart signals with signal output on a monitor or graph paper. The ECG records the measurement of the electrical activity of the heart from the surface of the body by a set of electrodes that are installed in such a way that reflects the tapping point activity. The pattern of ECG output signals in one heartbeat produces a pattern with a peak point P, Q, R, S and T or QRS complex. ECG signal waveform results were analyzed using Learning Vector Quantization (LVQ) Artificial Neural Networks, and grouped into two classes, namely normal and abnormal heart patterns. The normal heart condition that is trained is a medically normal heart categorized as healthy as 10 data, while an abnormal heart (Heart, Coronary Heart, and Aortic Regurgutation) is 20 data. The LVQ method recognizes the input pattern based on the proximity of the two vectors, namely the vector of the input unit or neuron with the weight vector produced by each class. Online LVQ identification (using ECG) recorded from 25 direct trials resulted in 80% accuracy.
Implementing Backward Chaining Method in Expert System to Detect and Treat Rice, Chilli, and Corn Plant’s Pests and Diseases Muhibuddin, Anton; Airlangga, Primaadi; Sulthoni, M. Mirza; Wicaksana, Aries Budi
JITCE (Journal of Information Technology and Computer Engineering) Vol. 2 No. 02 (2018)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.2.02.71-75.2018

Abstract

Indonesia is an agrarian country which most of it’s citizens are farmer. There are various kind of decent plants to grow in Indonesia but most of them plant rice, corn, wheat, and sago as staple food. There other plants that is consumed not as main food but as subsidiaries, one of them are chilli pepper. Abundant variety of vegetation in Indonesia means that there are also many type of pests and diseases. An agriculture expert is needed to identify plant’s diseases and pest correctly. Meanwhile, the number of agriculture experts is insufficient to help massive amount of farmer whom have trouble in agriculture. This problem can be solved by using Expert System where farmers can detect the problem on their plants and finding treatment to cure their plants correctly them self. This research is mean to develop an Expert System Application in agriculture to identify diseases and pests based on their symptoms especially rice, chilli, and corn plants. This Expert System is based on web program using Backward Chaining Inversion which is deemed necessary to solve the case study’s problem. Responsive Web Based System can be accessed by user or client from many devices especially their smart phone help diagnose disease that occurs to their plant, more over, to solve the low rate of expert on agriculture.
Sistem Pemesanan Makanan dan Minuman Pada Restoran Menggunakan Teknologi NFC Berbasis Android Putri, Annisa Yolanda; Yendri, Dodon
JITCE (Journal of Information Technology and Computer Engineering) Vol. 2 No. 01 (2018)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.2.01.34-40.2018

Abstract

One area of business that is in great demand today is the culinary field. The culinary field is very mushrooming because it deals with meeting basic human needs. Therefore service to digital needs to be a concern. The goal is to improve services with NFC (Near Field Communication) based on Android for ordering food and drinks. This research uses experimental research methods by applying NFC that is on smart phones as a way to bring the smart phone closer to the NFC tag that is already on each table. Message data entered on a mini PC computer (Raspberry Pi) as the server for the next as a booking order that will be ordered by the waiter. Simulation show that a system can read NFC tags and find out table numbers via a smart phone with a 100% success rate, remote reading of NFC tags by smart phones is 2.5 cm and the average time by the system is 1,12 seconds. Besides that, the system is also equipped with calculations for payments with 100% accuracy.

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