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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jambura Journal of Informatics
Urwah, Mushfani Ainul
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Computer Science & IT Control & Systems Engineering

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STUDENT VIRTUAL CLASS ATTENDANCE BASED ON FACE RECOGNITION USING CNN MODEL Nursantika, Dian; Piantari, Erna; Huseani, Dwi Fitria Al; Husaeni, Dwi Novia Al; Urwah, Mushfani Ainul
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 3 (2024): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.95824

Abstract

Attendance records are an important tool that can be used to include and broadcast member participation in an activity, including the learning process. In online learning classrooms, the process of recording attendance becomes challenging to do manually, thus an automatic attendance recording system is needed. The authentication process is important in developing an existing recording system to guarantee the correctness of the recorded data. In this research, a face authentication system was built to create a system for recording online class attendance to help integrate participant activities and participation in online class learning. The face recognition approach uses a Convolutional Neural Network (CNN) model specifically designed to automate student attendance in virtual classes. Student image data is taken from virtual classroom sessions and used to train a CNN model. This model can recognize and verify student identity in various lighting conditions and head positions. This research consists of several stages, namely data collection, artificial neural networks, use of facial recognition, dataset application stage, and facial recognition in video frames. The experimental results showed that there were 11193 samples studied and of these 11193 samples the distribution was even, namely 6.7%. In addition, the model performance results show an accuracy of 76.28%.
Perancangan UI/UX Web e-Commerce ‘Hallo Coffee' Menggunakan Metode User Centered Design Dinata, Putri Zukhruf; Urwah, Mushfani Ainul; Rahmawan, Mochammad Reza; Junaeti, Enjun
Jambura Journal of Informatics VOL 5, NO 1: APRIL 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jji.v5i1.17511

Abstract

Currently, many startup coffee shop entrepreneurs still require a platform to promote sales. In addition, some existing platforms are still in the general scope, not specifically for coffee shop sales. This research aims to design a user interface for a menu ordering application in a café, as well as an online café reservation on a website platform. This application can later be used by coffee shop owners to assist with the sales process. The method used in this research was a user-centered design (UCD). The result of this research is a prototype of Hallo Coffee website user interface design. Based on the expert validation test, it was concluded that the user interface design of the Hallo Coffee website that has been produced is attractive and easy for users to understand. Saat ini masih banyak pengusaha coffee shop rintisan yang masih membutuhkan platform untuk mempromosikan penjualannya. Selain itu di beberapa platform yang sudah ada, masih dalam lingkup secara umum tidak khusus untuk penjualan di sebuah coffee shop saja. Penelitian ini bertujuan untuk merancang sebuah desain user interface untuk aplikasi pemesanan menu di sebuah kafe sekaligus reservasi kafe secara online pada platform website. Aplikasi ini nantinya dapat digunakan oleh pemilik coffee shop untuk membantu proses penjualannya. Metode yang digunakan dalam penelitian ini adalah User Centered Design (UCD). Hasil dari penelitian ini yaitu berupa prototype desain user interface website Hallo Coffee. Berdasarkan uji validasi ahli disimpulkan bahwa desain user interface website Hallo Coffee yang telah dihasilkan, dikemas dengan menarik dan mudah dimengerti oleh user.
Co-Authors Dian Nursantika Dinata, Putri Zukhruf Enjun Junaeti Husaeni, Dwi Novia Al Huseani, Dwi Fitria Al Piantari, Erna Rahmawan, Mochammad Reza