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Perancangan Aplikasi Absensi dan Pengawasan Ruangan dengan Pengenalan Wajah menggunakan metode Convolutional Neural Network Nurpadilah, Rizki; Setiyaningsih, Timor
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.81

Abstract

The development of technology in the field of facial recognition provides a great opportunity to improve efficiency and security in various aspects, one of which is the attendance and room surveillance system. This study aims to design an attendance and room surveillance application based on facial recognition using the Convolutional Neural Network (CNN) method in a private company engaged in the property sector. This application is designed to simplify the employee attendance process and improve room surveillance by automatically recognizing employee faces, thereby reducing the risk of attendance fraud and ensuring more accurate attendance. The CNN method was chosen because of its ability to process images and recognize facial patterns with high accuracy. This system consists of several main features, namely employee face registration, automatic face-based attendance, and monitoring employee presence in the office space. The test results show that this application is able to identify faces with a good level of accuracy, as well as provide convenience and comfort for users.
Strengthening SDIT Students Computational Thinking through Computational Thinking Activities - Unplugged Binary Digits and Product Codes Susilo, Andi; Setiyaningsih, Timor; Novianti, Eva; Yahya
JEPTIRA Vol 3 No 2 (2025)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v3i2.128

Abstract

Computational thinking (CT) is a key 21st-century competency that needs to be developed from elementary school level because it is related to problem-solving skills, logical thinking, and creativity in the context of digital technology. Teachers play a central role in integrating CT into learning, but many elementary school teachers are unfamiliar with the concept of CT or its learning strategies. One effective approach that is appropriate for the characteristics of elementary school students is the CT-Unplugged activity, a computer-free activity that represents core computer science concepts in a concrete and enjoyable way. This community service activity aims to improve the understanding and skills of SDIT Mafatih teachers in implementing two CT-Unplugged modules: how binary digits work and checking product code digits (check digits), as a means of strengthening students' CT. The training was conducted at SDIT Mafatih involving 23 teachers through material presentations, demonstrations, activity simulations, and lesson plan design. Evaluation used pre- and post-tests of CT knowledge as well as questionnaires on perceptions and confidence in teaching CT. The results showed an increase in teachers' knowledge scores regarding CT concepts and binary digit/product code materials, as well as increased confidence in adapting CT-Unplugged activities into classroom learning. Teachers also produced several learning activity designs that integrated the module with elementary school lesson themes. This activity demonstrated that structured CT-Unplugged-based training is effective in building CT literacy and pedagogical capacity in elementary school teachers.