cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Rian Ferdian
Contact Email
rian.ferdian@fti.unand.ac.id
Phone
-
Journal Mail Official
jitce@fti.unand.ac.id
Editorial Address
-
Location
Kota padang,
Sumatera barat
INDONESIA
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.
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol. 8 No. 2 (2024)" : 6 Documents clear
Control System for U-Arm Robot Arm Movement with Linear Gripper Based on Inverse Kinematic Method Prasetyo, Aditya Putra Perdana; Rahmatullah, Ikang; Exaudi, Kemahyanto; Rendyansyah, Rendyansyah
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.8.2.97-103.2024

Abstract

This research presents the development of a U-Arm model robot with three degrees of freedom, utilizing Inverse Kinematic calculations. The novelty of this project lies in its precise control of the robot arm's movements through advanced kinematic algorithms. Inverse Kinematics is a mathematical process used to determine the joint angles of the robot arm from known (x, y, z) coordinates of the end-effector and the lengths of each link. The robotic arm consists of four links with lengths of 8.2 cm, 15 cm, 16 cm, and 18.4 cm, respectively, and is equipped with a gripping module for object manipulation. The methodology involves calculating the joint angles required for the desired end-effector position, ensuring accurate and efficient movement. Testing results indicate an average coordinate error of 7.13%, demonstrating the system's precision and reliability. This error rate provides valuable insights into the performance and potential areas for improvement in the kinematic model. Additionally, this research includes the development of a program to control the servo motor speed using For and delay functions. This program enhances the robot's operational efficiency by allowing precise speed adjustments, which are crucial for various applications. Overall, this study contributes to the field of robotics by offering a detailed analysis of kinematic control and program development for a multi-link robotic arm, highlighting its potential for practical applications.
Vulnerability Testing and Analysis on Websites and Web-Based Applications in the XYZ Faculty Environment Using Acunetix Vulnerability Rahmi, Mifthahul; Yunus, Yuhandri; Sumijan, Sumijan
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.8.2.83-96.2024

Abstract

The internet's continuous evolution has profoundly impacted society through the advancement of website technology and applications, reshaping contemporary ways of life. These digital platforms offer unrestricted information access, overcoming spatial and temporal limitations. In the realm of software development, Vulnerability Assessment is essential for producing high-quality products, as seemingly minor errors can create dangerous vulnerabilities that malicious actors may exploit to pilfer information from websites or applications. This study examines the security level of the Integrated website and application within the Faculty of Medicine, Universitas Andalas (Fakultas XYZ) environment, utilizing the Acunetix Web Vulnerability Scanner tool. The initial scan revealed a threat level of 3 (high) for the Fakultas XYZ website and level 2 (medium) for the Integrated application. Following a recapitulation process, several web alerts were identified for optimization, including Cross-Site Scripting (XSS), Blind SQL Injection, Application error message, HTML form without CSRF protection, Development configuration file, Directory listing, Error message on page, and User credentials sent in clear text. The optimization process involved source code review and enhancement to improve website features. A subsequent scan post-optimization demonstrated a reduction in threat levels for both the website and the UNAND FK Symphony application, with both achieving threat level 1 (low).
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

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 9 No. 2 (2025): Journal of Information Technology and Computer Engineering Vol. 9 No. 1 (2025) Vol 8 No 2 (2024): Journal of Information Technology and Computer Engineering Vol. 8 No. 2 (2024) Vol. 8 No. 1 (2024) Vol. 7 No. 01 (2023) Vol 7 No 01 (2023): Journal of Information Technology and Computer Engineering Vol. 7 No. 2 (2023) Vol 6 No 02 (2022): Journal of Information Technology and Computer Engineering Vol. 6 No. 02 (2022) Vol. 6 No. 01 (2022) Vol 6 No 01 (2022): Journal of Information Technology and Computer Engineering Vol. 5 No. 02 (2021) Vol 5 No 02 (2021): Journal of Information Technology and Computer Engineering Vol 5 No 01 (2021): Journal of Information Technology and Computer Engineering Vol. 5 No. 01 (2021) Vol. 4 No. 02 (2020) Vol 4 No 02 (2020): Journal of Information Technology and Computer Engineering Vol 4 No 01 (2020): Journal of Information Technology and Computer Engineering Vol. 4 No. 01 (2020) Vol 3 No 02 (2019): Journal of Information Technology and Computer Engineering Vol. 3 No. 02 (2019) Vol 3 No 01 (2019): Journal of Information Technology and Computer Engineering Vol. 3 No. 01 (2019) Vol 2 No 02 (2018): Journal of Information Technology and Computer Engineering Vol. 2 No. 02 (2018) Vol 2 No 01 (2018): Journal of Information Technology and Computer Engineering Vol. 2 No. 01 (2018) Vol 1 No 01 (2017): Journal of Information Technology and Computer Engineering Vol. 1 No. 01 (2017) More Issue