http://jitce.fti.unand.ac.id/index.php/JITCE/issue/feed JITCE (Journal of Information Technology and Computer Engineering) 2020-02-18T05:14:43-05:00 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/44 Sistem Penerima Tamu Otomatis Pada Resepsi 2020-02-18T05:14:40-05:00 Rahmi Eka Putri rahmi230784@gmail.com Ibnu Harsa Anshory ibnu.harsa@gmail.com <p>Resepsi merupakan suatu acara yang dihadiri oleh tamu undangan. Ketika memasuki acara resepsi, tamu akan disambut oleh penanti tamu yang akan mempersilahkan tamu untuk mengisi buku tamu dan menyerahkan souvenir kepada tamu. Pada resepsi yang mengundang banyak tamu akan menyebabkan penumpukan antrian tamu di pintu masuk resepsi yang disebabkan oleh waktu yang lama untuk menuliskan nama dan alamat pada buku tamu. Pada penelitian ini dirancang sebuah sistem penerima tamu otomatis pada resepsi dengan cara melakukan pembacaan RFID <em>tag</em> yang ditempelkan ke RFID <em>reader</em> dan menyimpan data tamu ke SD card kemudian souvenir akan keluar secara otomatis. Dengan adanya sistem ini, proses penerimaan tamu resepsi menjadi lebih singkat dan data tamu yang hadir dapat disimpan dan ditampilkan melalui&nbsp; notepad. Hasil pengujian menunjukkan sistem dapat membaca dan menyimpan data tamu dengan tingkat keberhasilan 100 %, dengan rata-rata jarak masksimal RFID <em>tag</em> dan RFID <em>reader</em> 2,5 cm. Pengujian secara keseluruhan dari sistem menunjukkan 2 dari 10 kali percobaan tidak berhasil disebabkan oleh souvenir yang tersangkut pada alat pendorong souvenir atau penampung souvenir sehingga souvenir tidak dapat keluar dari alat, namun data tamu berhasil disimpan sesuai dengan RFID <em>tag</em> yang didekatkan ke RFID <em>reader</em>.</p> 2019-11-18T00:00:00-05:00 ##submission.copyrightStatement## http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/35 Intelligent 3D Analysis for Detection and Classification of Breast Cancer 2020-02-18T05:14:41-05:00 suzani mohamad samuri suzani@fskik.upsi.edu.my Try Viananda Nova Megariani novamegariani@gmail.com <p>Breast cancer continues to be a significant public health problem in the world. Early detection is the key for improving breast cancer prognosis. Mammography has been one of the most reliable methods for early detection of breast carcinomas. However, it is difficult for radiologists to provide both accurate and uniform evaluation for the enormous mammograms generated in widespread screening. Breast cancer computer aided diagnosis (CAD) systems can provide such help and they are important and necessary for breast cancer control. Micro calcifications and masses are the two most important indicators of malignancy, and their automated detection is very valuable for early breast cancer diagnosis. Since masses are often indistinguishable from the surrounding parenchymal, automated mass detection and classification is even more challenging. This research presents algorithms for building a classification system or CAD, especially to obtain the different characteristics of mass and micro calcification using association technique based on classification. Starting with an individual-specific deformable of 3D breast model, this modelling framework will be useful for tracking visible tumors between mammogram images, as well as for registering breast images taken from different imaging modalities. From the results, the classifier developed able to perform well by successfully classifying the cancer and non-cancer (normal) images with the accuracy of 97%. Apart from that, by applying color map to the final results of segmentation provides a more interesting display of information and gives more direction to the purpose of image processing, which distinguishes between cancerous and non-cancerous tissues.</p> 2019-11-10T23:04:06-05:00 ##submission.copyrightStatement## http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/45 Analisa Detak Jantung dengan Metode Heart Rate Variability (HRV) untuk Pengenalan Stres Mental Berbasis Photoplethysmograph (PPG) 2020-02-18T05:14:42-05:00 Nefy Puteri Novani nefyputeri@fti.unand.ac.id Lathifah Arief lathifah.arief@it.unand.ac.id Rima Anjasmara rima.anjasmara56@gmail.com <p>Emotions influence individual behavior and there is no emotional experience that has a stronger influence than stress. Prolonged stress has a direct negative influence on physical and emotional conditions. For that reason, it is important to know a person's mental stress state, so that further action can be taken later, so as not to have a serious impact on physical and mental health. In this study, the <em>photoplethysmograph</em> (PPG) approach is used to recognize mental stress conditions based on Heart Rate Variability (HRV) frequency domain analysis. In this study stress was identified by SVM <em>classifier</em> using LF, HF and LF / HF Ratio from HRV frequency domain analysis. The LF results were increased in mild stress conditions, HF increased in conditions of mild stress and medium stress and the LF / HF Ratio slowly increased from mild stress to severe stress. The training data obtained 80 data with 95% mild stress accuracy from 19 data, medium stress accuracy 96% from 49 data and 99% severe stress accuracy with 12 data.</p> 2019-11-07T00:00:00-05:00 ##submission.copyrightStatement## http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/43 Rancang Bangun Robot Pengangkut Sampah Pintar Menggunakan Mikrokontroler 2019-10-01T13:36:04-04:00 Clara Robert Pangestu clararobertpangestu@gmail.com <p>Humans are living things that like all things that are clean and beautiful to look at, including environment around them. Nowadays, there are many people that conscious and care about environmental hygiene, but there are many of them that do the otherwise. Managing trash can in their residential area is one form of human awareness of environmental sanitation. Human's responsibility in keeping their health and the environment is not only to dispose of trash in its place but also to manage a fully loaded trash can. Because of the waste management problem, the writer made a smart garbage transport robot, which is a fully loaded trash can or a trash can that has methane in it can move automatically from a residential area to its landfill. Components that used to detect the condition of a trash can are Ultrasonic sensor that used to identifies a fully loaded trash can; MQ-4, a methane gas sensor to detect methane gas's level in the trash can; and photodiode sensor for the automatic trash can robot's line tracking to the landfill. The success rate of garbage transport robot is 4 out of 4 trials.</p> 2019-10-01T00:27:19-04:00 ##submission.copyrightStatement## http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/41 Two Sequential Authentication Method on Locker Security System Using Open-Sourced Smartphone 2020-02-18T05:14:43-05:00 Dodon Yendri dodon_y@yahoo.com <p>Lockers are commonly used to store luggages temporarly. For security purposes, lockers are equipped with conventional lock keys to keep it safe. In order to enhance the security aspects, there are several options by optimalizing current emerging technology that is two-factors authentication. This method is commencing by inputting some PIN (Personal Identification Numbers) code then it would trigger confirmation access by smartphone to unlock the lockers. By having this security schemes, any unauthorized users could not allowed any attempt to unseal the locker. More over, the owner could immediately recognize if there was any suspicious access.&nbsp; The result of this research shows that the system could unlock the locker by inputting the correct PIN and verified access by achieving the successful percentage of 100%. The averages response time is around 6.647 seconds, while any attempt to unlock the locker by inputting the incorrect access gain 100% percentages</p> 2019-09-30T10:41:14-04:00 ##submission.copyrightStatement##