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 5 Documents
 1 
Search results for , issue "Vol. 7 No. 2 (2023)" : 5 Documents clear
Advisor-Oriented Course Recommendation System Using Student Grades Pangestu, Muftah Afrizal; Karnalim, Oscar
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 2 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.2.63-72.2023

Abstract

In some universities, student advisors are often hired to enhance students’ retention rate. Having some students in mind, these advisors may find some difficulties in guiding the students in terms of selecting relevant courses. This paper proposes an advisor-oriented course recommendation system. Using this system, the advisors may suggest relevant courses to their students easier and more accurate. This system relies on student grades and comprehensive course data. Further, it utilises content-based and collaborative filtering for predicting relevant courses. According to our evaluation, the system is considerably effective; the accuracy of content-based filtering is about 66% while the accuracy of collaborative filtering is about 58%. Further, some parameters may be potential for enhancing accuracy while the others may be not.
Smart Plant Pot Robot with IoT Integration for Indoor Ornamental Plants Care Halawa, Hestin Nalurita; Aisuwarya, Ratna
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 2 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.2.97-106.2023

Abstract

Caring for indoor ornamental plants is a challenge for the owner. They require special attention and treatment from the owner to grow well and beautifully. The most important and common thing that must be considered is choosing the type of plant that can adjust to the atmosphere and conditions in the room. Some indicators that determine the typical environmental conditions of potted ornamental plants are air temperature and humidity, light, and soil moisture. The smart plant pot robot is designed to provide smart care for indoor ornamental plants by incorporating a line follower mechanism. Equipped with functionalities like plant watering and environmental monitoring (including light, temperature, and humidity levels), this robot offers comprehensive plant care. Users can conveniently monitor these parameters via a smartphone using the Blynk application. In its design, the robot integrates various components such as temperature and humidity sensors, light intensity sensors, photodiode sensors, ultrasonic sensors, voltage sensors, Arduino Uno, relays, water pumps, RTC, ESP8266, DC motors, and motor drivers. The primary goal is to create a system capable of monitoring plant conditions and providing watering assistance, utilizing line tracking for transporting potted plants to sunlight exposure spots. This system aims to offer practical benefits to the community, especially in optimizing indoor ornamental plant care. The test results of this system, utilizing Arduino Uno as the microcontroller and ESP8266 for WiFi communication with the Blynk application, along with various sensors as input devices, demonstrate a remarkable 100% success rate. Notably, this accuracy is based on functional testing, encompassing everything from the robot's path detection to its connectivity with the Blynk application.
Motorcycle Parking Security System based on Website and QR Code Technology Yuni, Riva Andra; Kasoep, Werman; Yolanda, Desta
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 2 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.2.73-82.2023

Abstract

The increase in motorcycle theft cases has become a serious concern. This research aims to design a motorcycle parking security system through a website in response to this challenge. The system uses a website accessible via smartphones using QR code. Users scan the provided QR code to access the website, where they will be prompted to enter a password that functions as a controller for the locking and unlocking process of the motorcycle's front wheel using a servo motor. Furthermore, to detect forced removal attempts, the system is equipped with an alarm that notifies the parking attendant. This alarm will be activated if vibrations above 20 cm/s2 are detected and will be accompanied by a buzzer sound as a danger signal. Based on the results of the study, this system can work well and produce the appropriate output as previously designed with a success percentage of 91% and the servo motor as a motorcycle safety device can work to lock the front tire of a motorcycle that has a tire tread width of 90 mm according to with what was previously defined
The Employee Time Discipline Monitoring System based on Fingerprint Sensor and Website ARDI, RIZKI
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 2 (2023)
Publisher : Universitas Andalas

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

Abstract

The problem of time discipline in the work environment is a common challenge that is often faced, especially in organizations with many employees. This problem becomes increasingly complicated when the organization has many employees with different work schedules and is spread across prominent locations. A time discipline monitoring system has been developed to overcome this problem. This system is designed to make monitoring employee attendance and time discipline easier by utilizing fingerprint scanner technology near the entrance to a room or office building. When an employee enters or leaves, they are required to scan their fingerprints using the fingerprint scanner. The data from the fingerprint scan is then recorded and stored on a server connected to the system. The administrator can easily access this data via a website provided by the system. This way, monitoring employee time discipline becomes more efficient. Furthermore, this system also has a feature that allows the head of organization to permit employees to have tasks outside the office. This simplifies the process of managing tasks outside the office and increases work flexibility. Based on the test results, the system demonstrates strong performance in monitoring, achieving a fingerprint detection accuracy of 95% and achieving a 100% success rate in website monitoring
Real-time Defense Against Cyber Threats: Analyzing Wazuh's Effectiveness in Server Monitoring Alanda, Alde; Mooduto, H.A; Hadi, Ronal
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 2 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.2.56-62.2023

Abstract

As cloud computing grows exponentially, organizations face escalating cybersecurity challenges due to increased cyber threats and attacks on cloud-based networks. Monitoring cloud servers is one action that can be taken to improve the security. This can be done with the help of various server monitoring tools, such as Wazuh. The study investigates Wazuh's effectiveness in real-time monitoring of three AWS EC2 instance-based cloud servers. Wazuh's capabilities such as log data collection, malware detection, active response automation, and Docker container monitoring, are examined. The research reveals detailed insights into user activities, web server access, and database operations. Wazuh proves adept at tracking file integrity, detecting malware, and responding actively, as evidenced by the 342 alerts generated during a 24-hour monitoring period. The result shows that Wazuh is a particularly effective tool for protecting cloud environments from cyberattacks because it provides quick and ongoing security monitoring, which is essential for securing intricate cloud infrastructures.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2023 2023


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): Journal of Information Technology and Computer Engineering Vol. 5 No. 02 (2021) Vol. 5 No. 01 (2021) Vol 5 No 01 (2021): Journal of Information Technology and Computer Engineering 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