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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 6 Documents
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Search results for , issue "Vol 5 No 01 (2021): Journal of Information Technology and Computer Engineering" : 6 Documents clear
Prediksi Energi Listrik Kincir Angin Berdasarkan Data Kecepatan Angin Menggunakan LSTM Muhammad Qubaisy Andiyantama; Iffah Zahira; Ade Irawan
JITCE (Journal of Information Technology and Computer Engineering) Vol 5 No 01 (2021): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.01.1-7.2021

Abstract

Fossil energy is well known as the most energy resource consumed by humans. However, the exploitation leads to damage both in the process of taking raw materials and in the use of those. Furthermore, the amount has become decreasing nowadays. Renewable energy could solve the energy crisis. One kind of renewable energy that has been successfully used by a human is by utilizing wind turbines. However, there are still many problems in its implementation and usage. One of the problems is the unstable generated electricity that is caused by instability of the wind speed. Inappropriate plans for utilizing wind turbines in such areas with varying wind speed could harm renewable energy investment. Therefore, forecasting the wind speed is necessary to anticipate the stability and embrace optimal produced energy. This study proposes the Long Short Term Memory (LSTM) algorithm to predict the generated energy by using the wind speed dataset. Thus, wind turbines can be utilized effectively and efficiently in the right area with sufficient average wind speed.
Implementasi Forward Chaining dan Certainty Factor pada Aplikasi Konsultasi Kecantikan Bunga Ratna Sari; Sabar Rudiarto
JITCE (Journal of Information Technology and Computer Engineering) Vol 5 No 01 (2021): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.01.8-17.2021

Abstract

Having skin that is free from problems is a dream for most women, especially in Indonesia. However, the problem is not all women are aware that in carrying out treatment or using a product, it must match the needs of each skin type. The rise of beauty salons that operate but are not under the auspices of specialist doctors and also cheap beauty products that are claimed to solve skin problems in an instant makes women easily tempted. This of course can have a big negative impact when the maintenance procedures performed are not up to standard, and there are dangerous ingredients in the products used. For this reason, consulting with a specialist or the expert is indispensable. Researchers used the forward chaining method and certainty factors in building this system which is expected to be used in determining facial skin problems and their solutions based on case studies at the XYZ beauty clinic. The Forward Chaining method is used to draw conclusions based on the facts entered. While certainty factor is used to calculate the trust value from the existing conclusions. This method requires 2 main values ​​in performing calculations, namely MB (measurement of belief) and MD (measurement of disbelief). Based on the research that has been done, the system was successfully built and gave an accuracy value of 97.35%.
Sistem Monitoring Perilaku Pengendara Mobil Berbasis Internet of Things Andri Ulus Rahayu
JITCE (Journal of Information Technology and Computer Engineering) Vol 5 No 01 (2021): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.01.18-24.2021

Abstract

This research is created as a system for a car rental service. The system has monitoring features allowing the car rental owner to monitor the engine condition. The monitoring is performed by using a web interface that could read data from OBD-II that sent by raspberry pi 2. The owner can also monitor the position of the car by using coordinates sent from a smartphone by utilizing the GPS feature. In addition, it also has a reporting feature that allows the owner to track the data history from OBD II about the engine rpm, speed, engine load & temperature. Moreover, the owners can identify the route that has been passed by their car. Likewise, this system provides a program that analyzes the car driver's behavior based on the determined rules. The analysis was conducted based on all data from OBD-II in the database server and all data of driving rules violation performed by the driver. The result is an assessment of the driver as a driving error rate. This study generated 173 data of which 9 were driving rules violations with a 5.20% driving error rate. The report can be obtained by selecting the time interval. It also downloadable and can be sent by e-mail.
A Cardiotocographic Classification using Feature Selection: A comparative Study Septian Eko Prasetyo; Pulung Hendro Prastyo; Shindy Arti
JITCE (Journal of Information Technology and Computer Engineering) Vol 5 No 01 (2021): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.01.25-32.2021

Abstract

Cardiotocography is a series of inspections to determine the health of the fetus in pregnancy. The inspection process is carried out by recording the baby's heart rate information whether in a healthy condition or contrarily. In addition, uterine contractions are also used to determine the health condition of the fetus. Fetal health is classified into 3 conditions namely normal, suspect, and pathological. This paper was performed to compare a classification algorithm for diagnosing the result of the cardiotocographic inspection. An experimental scheme is performed using feature selection and not using it. CFS Subset Evaluation, Info Gain, and Chi-Square are used to select the best feature which correlated to each other. The data set was obtained from the UCI Machine Learning repository available freely. To find out the performance of the classification algorithm, this study uses an evaluation matrix of precision, Recall, F-Measure, MCC, ROC, PRC, and Accuracy. The results showed that all algorithms can provide fairly good classification. However, the combination of the Random Forest algorithm and the Info Gain Feature Selection gives the best results with an accuracy of 93.74%.
Sistem Monitoring Konsumsi Daya Listrik Dengan Mengimplementasikan Bluetooth Low Energy Budi Rahmadya Rahmadya
JITCE (Journal of Information Technology and Computer Engineering) Vol 5 No 01 (2021): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.01.33-40.2021

Abstract

Electricity becomes a major need for human in this era. PLN's electricity payment system in residential areas is divided into two ways, postpaid electricity and prepaid electricity. Prepaid electricity using digital kWh meter that shows the use of current, electric power, etc on LCD. The usage of current and electric power can be monitored using Android application using Bluetooth Low Energy (BLE) as communication media. BLE has many advantages module compared to classic bluetooth, for example having a wider range, data transfer speeds up to 1 Mbps, and low power consumption. Therefore the writer researched by implementing Bluetooth Low Energy in the electric power monitoring system. The results of this research showed that the electric power monitoring system and the BLE module could send the result of sensor measurement to android applications. From the testing that has been done showed that the BLE send module can be up to 25 meters distance for unhindered conditions and 8 meters with hindered conditions. And the BLE module energy consumption is more efficient than HC-05 energy comparison BLE module 5,728 mW and the HC-05 module 13.47 mW.
Rancang Bangun Sistem Deteksi Kecepatan Kendaraan di Wilayah Zona Selamat Sekolah (ZoSS) Berbasis Mini PC Desprijon Desprijon; Rahmi Eka Putri; Nefy Puteri Novani
JITCE (Journal of Information Technology and Computer Engineering) Vol 5 No 01 (2021): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.01.41-51.2021

Abstract

This study aims to create a system to detect vehicle speed in the School Safe Zone area using Mini PC based with Computer Vision technology and Image Processing techniques. This research, was hoped for the drivers will more discipline in driving, so can create safe and comfortable traffic in the School Safe Zone area. This system was made using a camera module to take video of the track, Raspberry Pi was used as the main device for detection and speed calculation. Every vehicle which crossed the zone would be detected and tracked to follow every vehicle movement, then was conducted a process of saving the center point of the vehicle object based on the initial detection line. Finally, calculated the vehicle speed based on the distance and time the vehicle moved on the frame which was set based on the detection line. The results of the vehicle speed would be displayed on the LCD and the output was in the form of a sound from the speaker as a warning for drivers whose vehicle speed exceeds 25 km / hour. Based on results of this research, the system was capable for work well in detecting and getting the speed results of passing vehicles. However, for direct implementation the devices in this system are inadequate for video processing, so that the response time and accuracy level was obtained by the system did not match for actual conditions.

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