http://jitce.fti.unand.ac.id/index.php/JITCE/issue/feed JITCE (Journal of Information Technology and Computer Engineering) 2021-10-01T08:16:10-04:00 Editor JITCE jitce@fti.unand.ac.id Open Journal Systems <p><strong>JITCE (Journal of Information Technology and Computer Engineering)</strong>&nbsp;is a scholarly periodical. JITCE will publish research papers, technical papers, conceptual papers, and case study reports. This journal is published by<a href="http://sk.fti.unand.ac.id"> Computer System Department</a> at&nbsp;<a href="http://www.unand.ac.id/" target="_blank" rel="noopener">Universitas Andalas</a>, Padang, West Sumatra, Indonesia.</p> <p>One volume of JITCE consisted of two editions, which are published in March and September each year. Articles are written in Bahasa Indonesia (Indonesian language) OR English. Abstracts&nbsp;<strong>must be in English</strong>.</p> http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/90 Heart Disease UCI Machine Learning 2021-10-01T08:16:10-04:00 Kasiful Aprianto apriantokasiful@gmail.com <p>Dataset yang digunakan bersumber dari&nbsp;<a href="https://archive.ics.uci.edu/ml/datasets/heart+disease">https://archive.ics.uci.edu/ml/datasets/heart+disease</a></p> 2021-09-30T00:00:00-04:00 ##submission.copyrightStatement## http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/134 Rancang Bangun Alat Pendeteksi NOx dan CO Berbasis Mikrokontroler ESP32 dengan Notifikasi Via Telegram dan Suara 2021-10-01T08:16:03-04:00 Mutiara Asmazori mutiarafisua16@gmail.com <p>The design of NOx and CO detectors based on notifications via telegram and voice has been carried out. This detector consists of a gas sensor MQ-135 as a nitrogen oxide detector and an MQ-7 sensor as a carbon monoxide detector. Data processing is carried out using an ESP32 microcontroller which can send results to a telegram bot and play sound using speakers connected to the ISD 1820 sound module. The tool made can send notifications if the concentration of nitrogen oxides and carbon monoxide exceeds 50 ppm. The test is carried out by burning waste to produce smoke. Burning smoke contains various gases and particles that are harmful to the body. The characterization of the MQ-135 sensor was carried out by comparing the data obtained from the ISPU to measure nitrogen oxide gas and producing an error value of 9.09%. Meanwhile, the characterization of the MQ-7 sensor was carried out using a biogas analyzer and resulted in an error ratio of 3.26%. These results prove that the tools that have been designed can work well.</p> 2021-09-30T00:00:00-04:00 ##submission.copyrightStatement## http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/98 Utilization of AHP-MAUT Method to Determine the Country of Exhibition Abroad in Batik Hatta Boutique 2021-10-01T08:16:08-04:00 Saifur Rohman Cholil cholil@usm.ac.id Tria Ardianita triaardianita@gmail.com <p>This research was conducted with the aim of helping decide the destination country for overseas exhibitions at the Batik Hatta Boutique. By knowing all the data and information of a country, boutique owners can decide which country to visit in the batik exhibition. Because if you attend the cast in all countries, there will be overruns in costs. The methods used are AHP and MAUT. The AHP method is used as a weighting using a linguistic value scale. Weights are obtained from the pairwise comparison matrix between two elements of all elements that occur at the same hierarchical level. The MAUT method is used to determine the importance of each alternative for the ranking process. The results of this study indicate that Cambodia was chosen as the location to be visited for the batik exhibition. The results of the validation using the Spearman Rank correlation comparison obtained a value of 0.951 meaning that this method can be used as a decision making.</p> 2021-09-30T00:00:00-04:00 ##submission.copyrightStatement## http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/132 Pengembangan Media Interaktif Pengembangan Media Interaktif Berbasis Game Edukasi dalam Meningkatkan Kreativitas Guru Sekolah Dasar di Masa Pandemi Covid-19 2021-10-01T08:16:06-04:00 Fattachul Huda Aminuddin fattachulhuda@unh.ac.id Teuku D Djauhari, Teuku teukudjauhari@unh.ac.id Merty Megawati M.Pd, merty mertymegawati@unh.ac.id <p>The presence of the Covid-19 Virus in the world has not only changed the learning culture, but has become a new challenge in developing teacher creativity in the teaching and learning process. This conventional learning pattern that has evolved into technology-based distance learning requires teachers to be able to adapt and adapt to the limited learning needs of students during the pandemic. Digital technology tools are currently very developed, but they are enough to help educators to adapt to the diverse learning needs of today's students. So it is necessary to use the right learning media in carrying out learning during the pandemic. This training aims to train abilities and skills in increasing the creativity of teachers in using interactive learning media during the pandemic using the Quizizz platform. Quizizz is an interactive game-based online platform that can be used in a fun teaching and learning process during the Covid-19 pandemic by utilizing an Android smartphone. The method used is the lecture method and interactive training by involving the teacher as a simulation model.</p> 2021-09-30T00:00:00-04:00 ##submission.copyrightStatement## http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/99 A Cardiotocographic Classification using Feature Selection: A comparative Study 2021-07-12T22:29:14-04:00 Septian Eko Prasetyo septianepe@gmail.com Pulung Hendro Prastyo septianepe@mail.ugm.ac.id Shindy Arti septianepe@mail.ugm.ac.id <p>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%.</p> 2021-03-31T00:00:00-04:00 ##submission.copyrightStatement##