Rika Idmayanti
Institut Teknologi Padang

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Mcuabsensi Pemanfaatan Hostpot Nodemcu, Aplikasi Android, Dan Raspberry Untuk Pengambilan Absensi Online Afdal; Idmayanti, Rika; Prabowo, Cipto
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 1 No 3 (2020)
Publisher : Jurusan Teknologi Informasi - Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1542.088 KB) | DOI: 10.30630/jitsi.1.3.9


Online attendance system with the use of raspberries as a local server to synchronize system data on the server and attendance data processing, nodemcu as a tool that can transmit hostpot signals for attendance and android connected to the nodemcu hostpot with the android application for each event attendance in taking attendance . In this system Attendance can be taken at a distance of less than 30 meters by utilizing the nodemcu hostpot signal, an attendance device with additional battery power in anticipation of a main power outage, a local Raspberry pi server that is always synchronized with a public server so that when the internet network dies requesting attendance can still be processed and stored, the application that stores the mac address of the event participants so that there is only one warak on one user to minimize attendance cheating fraud, attendance taking and event permits can be done on the android application, taking attendance allows can be taken together to overcome attendance taking . This attendance system utilizes Restfult API technology with JavaScript Express programming framework, microcontroller with Arduino IDE C programming, websites with React.js JavaScript programming framework, and android applications with React Native JavaScript programming. In the design of this attendance system has several methods, namely problem identification, literature study, consultation, system analysis, system design, and implementation. The result of this system is a system that can streamline the taking and minimize attendance fraud
Deteksi Wajah Bermasker Menggunakan Webcam dan AWS EC2 Berbasis Raspberry Pi Nabila, Maitsa; Idmayanti, Rika; Rahmayuni, Indri
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 2 No 4 (2021)
Publisher : Jurusan Teknologi Informasi - Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jitsi.2.4.54


In the COVID-19 pandemic, masks are an important necessity for the community. The use of masks is very important to prevent the transmission of COVID-19. During the current pandemic, the Padang State Polytechnic campus allows students to visit the library on the terms and conditions that students must comply with health protocols. However, there are still many students who do not comply with health protocols, especially in using masks. Therefore, a tool that can detect masks is needed to protect/prevent people who do not wear masks from wearing masks when visiting the library in order to prevent the spread of COVID-19. The face detection system is masked or not using python version 3 with the OpenCV library, and Tensorflow. This system uses a webcam, Raspberry Pi 3 Model B, and Buzzer. The webcam is used to capture the image of the mask user. The captured image will be processed and classified on the Raspberry Pi 3 Model B. A buzzer will sound if the classification result is a face without a mask. The tool will be equipped with displaying the results of monitoring library visitor data in the form of a website using AWS EC2 as the infrastructure