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All Journal G-Tech : Jurnal Teknologi Terapan Journal of Comprehensive Science
Afu Ichsan Pradana
Universitas Duta Bangsa, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science

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Penerapan Face Recognition dengan Algoritma Viola Jones dalam Sistem Presensi Kehadiran Siswa Berdasarkan Titik Lokasi Berbasis Website Akbar Syarif Pratama Putra; Afu Ichsan Pradana; Anindhiasti Ayu Kusuma Asri; Elia Hari Prasetya
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4512

Abstract

The Viola-Jones calculation is a commonly used facial recognition calculation. Significant innovation in the form of human facial recognition systems serves as an important security and control tool, and has a variety of other applications. This fits the test's aim of highlighting the usefulness of Viola-Jones calculations in facial recognition, especially in the context of understanding student identity at SMA Negeri 2 Surakarta. This exploration aims to grow the student participation framework at SMA Negeri 2 Surakarta by utilizing facial recognition technology with Viola Jones calculations. remember the focus area. The participation framework creates a plan to improve the adequacy and productivity of supervision of student participation. One is not completely satisfied with the suitability of the registered facial images within the framework of the data set. The digital application used by this facial recognition program is Laravel 11 which is supported on the Windows 11 work system. This test uses 200 images of 20 individuals with different appearances. The cycle achievement rate of facial recognition is approximately 90%. Several elements influence location progress, including lighting, face distance, and face position.
The Internet of Things-Based Work Equipment Lending System at PT Namasindo Plas Andang Syafrudin; Afu Ichsan Pradana; Dwi Hartanti
Journal of Comprehensive Science Vol. 5 No. 2 (2026): Journal of Comprehensive Science
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v5i2.3996

Abstract

The borrowing of work tools plays an essential role in supporting production activities at PT Namasindo Plas. The current borrowing process is still carried out manually using logbooks and spreadsheets, which often leads to issues such as inaccurate records, inconsistencies in inventory data, and the risk of tool loss. This research aims to develop an Internet of Things (IoT)-based work tool borrowing system equipped with Radio Frequency Identification (RFID) technology to enable automatic identification of tools and users, as well as real-time recording of all borrowing activities. The system was developed using the Waterfall method, which includes requirement analysis, system design, device assembly, testing, and implementation. The system utilizes an RFID module, an ESP8266 microcontroller, and an online database to store and manage borrowing information. The test results show that the system successfully reads RFID tags, records borrowing and returning transactions automatically, and updates tool status in real time. The implementation of this system improves data accuracy, speeds up the borrowing process, and reduces the potential for tool loss, thereby enhancing the operational efficiency of the warehouse at PT Namasindo Plas.
Co-Authors Akbar Syarif Pratama Putra Andang Syafrudin Anindhiasti Ayu Kusuma Asri Dwi Hartanti Elia Hari Prasetya