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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.
Arjuna Subject : -
Articles 186 Documents
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Analysis and Prediction of Student Academic Performance Using Machine Learning Oyedeji, Ajibola Oluwafemi; Salami, Abdulrazaq M; Folorunsho, Olaolu; Abolade, Olatilewa R.
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.10-15.2020

Abstract

Analyzing the academic performance of students is of utmost importance for academic institutions and educationists, so as to know the ways of improving individual student’s performance. The project analyzed the past results of students including their individual attributes including age, demographic distribution, family background and attitude to study and tests this data using machine learning tools. Three models which are; Linear regression for supervised learning, linear regression with deep learning and neural network were tested using the test and train data with the Linear regression for supervised learning having the best mean average error (MAE).
Peningkatan Network Lifetime Menggunakan Cluster Based Pada Wireless Sensor Network wiwi, muhammad hibrian; Wardi, Wardi; Agussalim, Agussalim
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.16-21.2020

Abstract

This series of research activities are in the form of a routing simulation using the LEACH protocol as a cluster-based mechanism method that can improve Network Lifetime in the Wireless Sensor Network protocol, using the Network Simulator 2 application device that describes data transmission, remaining nodes, and energy used. Determination of the performance and power consumption of the wireless sensor network by testing scenario one to scenario five due to the influence of the cluster to be applied, such as scenario 1 using 1 cluster (C1) consumes an average of the energy of 0.155 joules and the data sent or obtained is 72,848 bytes. Barriers or disruptions to the clusterhead affect the performance of LEACH, so there is a need for criteria or conditions to determine which nodes should be used as clusterhead.
Prototype Sistem Monitoring Volume Bak Sampah Online Berbasis Arduino Nano dan Orange Pi Mappatoba, Andi; Haruna, Ilham; Agussalim, Agussalim
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.22-27.2020

Abstract

This research aims to develop trash volume monitoring based on Arduino nano and orange pi. This prototype detected trash volume in the trash can, and send the information through the monitoring server via a cellular network in real-time. So that the trash management, in this case, Dinas Kebersihan, could be efficient. In which the trash can located in various places could be easily monitored through the website. The results show, optimum range for the sensor that installed in the trash can is maximal 25 cm, in which for every trash that detected by sensor must be in range of 0 cm between 4.5 cm, where the position of the sensor does not face to face so that the sensor detects more accurately in determining the volume of free space in the trash.
Performance Analysis With Wireless Lan Networks Using The Quality Of Service Method Wahyudi, Anggy; Hadi, Aulia Fitrul; Sovia, Rini
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.45-48.2020

Abstract

The use of the internet currently has very high mobility, both used for streaming, browsing, downloading and uploading data. Along with the changing times and the demands for information services that are fast, precise, and accurate, making the network a major need, especially in the world of education. The use of internet facilities requires management to manage each data. For this reason, there is a need for Quality of Service on the network to optimize the distribution of networks evenly and fairly for each client and network user. The results of the study show that network quality by implementing Quality of Service is more optimal and network distribution is more even and stable
Development of an Arduino Based Electric Cooker Timer System Oyedeji, Ajibola Oluwafemi; Oni, Abiola P.; Onaifo, Frank; Alao, Peter O.
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.28-31.2020

Abstract

The emerging trend in the world of semiconductor integration has brought about so many opportunities in the area of microcontrollers. This paper deals with the design and implementation of a microcontroller-based timer for home appliances using an Arduino microcontroller. This system is developed for the users to predetermine the time of operation of any home appliances using the electric cooker for implementation. The system is majorly comprised of the power supply unit, microcontroller unit, timer circuits and LCD display. The user can set any of the time given in the timer switch using keypad. The settings are stored in the microcontroller and the details are displayed in the LCD display. The appliance is controlled to run for the particular period set by the timer switch. The timer switch automatically makes the appliance off once the period is over. This system has been designed to be efficient, reliable and reduce energy wastage.
Sistem Kendali Jarak Jauh dan Monitoring Penggunaan Listrik pada Pompa Air melalui Smartphone: Studi Kasus: Kos XYZ Kota Padang Fauzi, Ahmad; Aisuwarya, Ratna
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.32-39.2020

Abstract

This study aims to create a control system that can turn on / turn off the water pump by simply pressing a button on the smartphone and monitoring how much electricity was used which will later be converted into cost value in rupiahs. This system is able to further regulate the use of water pumps, such as restrictions on daily use, restrictions on use at certain hours, and pumps can be set to automatically shut down after a few moments of use. This system consists of three main components, namely an embedded system, a website-based mobile application, and a web server. The embedded system consists of Wemos D1, ACS712 current sensor, and relay. From the tests conducted the system can turn on the water pump with an average response time of 2 seconds and the results of monitoring conducted have an average error value of 13.63%.
Increased Mammogram Image Contrast Using Histogram Equalization And Gaussian In The Classification Of Breast Cancer Liantoni, Febri; Sukmagautama, Coana; Myrtha, Risalina
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.40-44.2020

Abstract

Breast cancer is one of the most common diseases among women in several countries. One of the most common methods to diagnose breast cancer is mammography. In this study, we propose a classification study to differentiate benign and malignant breast tumors based on mammogram image. The proposed system includes five major steps, i.e. preprocessing, histogram equalization, convolution, feature extraction, and classification. Image is cropped using region of interest (ROI) at preprocessing stage. In this study, we perform image contrast quality enhancement of the mammogram to view the breast cancer better. Image contrast enhancement uses histogram equalization and Gaussian filter. Gray-Level Co-Occurrence Matrix (GLCM) is used to extract the mammogram features. There are five features used i.e. entropy, correlation, contrast, homogeneity, and variance. The last step is to classify using naïve Bayes classifier (NBC) and k-nearest neighbor (KNN). Based on the hypothesis, the accuracy of NBC method is 90% and the accuracy of KKN method is 87.5%. So, the mammogram image contrast enhancement is well performed.
Optimalisasi Peta Pengendalian Penduduk untuk Diintegrasikan pada Organisasi Perangkat Daerah (OPD) di Kabupaten Bandung Barat putri, edsryan puspadianis Ramitha Satya; Istambul, Muhammad Rozahi
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.49-52.2020

Abstract

Demographic maps can present statistical data on demographic education levels, population stages, family stages, education levels, age, and number of lives in families based on participation in the National Health Insurance (JKN). Where every Regional Apparatus Organization (OPD) in West Bandung Regency that requires population control data needs a data integration and performance optimization, so that in each Regional Apparatus Organization (OPD) in work there is no more duplication of work. In this study, it is expected to be able to map all information about population control data to help the community and Regional Apparatus Organizations (OPD) in West Bandung Regency in order to obtain information clearly from population control data based on the results of family data collection which will make it easier for Regional Apparatus Organizations (OPD) related in order to help the entire community in West Bandung Regency. In this case a solution will be made by utilizing the QGIS application in solving problems where for population control maps can be integrated in the Regional Apparatus Organization (OPD) in West Bandung Regency.
Implementasi Smart Home Pada Pendeteksi Dini Kebakaran Menggunakan Forward Chaining Wahyono, Irawan Dwi; Priyantono, Mochammad Bagus
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 02 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.02.63-71.2020

Abstract

Fire is a disaster that can occur due to human negligence. So we need a system that functions to minimize the occurrence of fires by having a working concept to detect fires. This study aims to develop a fire detection system using the forward chaining method. In this detection system applying Artificial Intelligence where there are parameters of temperature, gas, the presence of fire, and the presence of water. This system also applies the Smart Home concept to detect fires early where there are sensor devices used by DHT 11, FLAME and MQ2. the data obtained from the sensor will be processed by the NodemCU Esp-8266 microcontroller. If there is an indication that caused a fire, the system immediately sends a warning via telegram. The results of this study obtained a precision of .94%, recall 93.6% and an accuracy of 96%.
Machine Learning Application for Classification Prediction of Household’s Welfare Status Nofriani, Nofriani
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 02 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.02.72-82.2020

Abstract

Various approaches have been attempted by the Government of Indonesia to eradicate poverty throughout the country, one of which is equitable distribution of social assistance for target households according to their classification of social welfare status. This research aims to re-evaluate the prior evaluation of five well-known machine learning techniques; Naïve Bayes, Random Forest, Support Vector Machines, K-Nearest Neighbor, and C4.5 Algorithm; on how well they predict the classifications of social welfare statuses. Afterwards, the best-performing one is implemented into an executable machine learning application that may predict the user’s social welfare status. Other objectives are to analyze the reliability of the chosen algorithm in predicting new data set, and generate a simple classification-prediction application. This research uses Python Programming Language, Scikit-Learn Library, Jupyter Notebook, and PyInstaller to perform all the methodology processes. The results shows that Random Forest Algorithm is the best machine learning technique for predicting household’s social welfare status with classification accuracy of 74.20% and the resulted application based on it could correctly predict 60.00% of user’s social welfare status out of 40 entries.

Page 14 of 19 | Total Record : 186

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