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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) AJAD : Jurnal Pengabdian kepada Masyarakat
Banase, Samuel Figo
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Rancang Bangun Aplikasi Absensi Karyawan menggunakan QR-Code Berbasis Web pada SMA Candra Naya Sutisna; Akbarulloh, Fery; Wahyudi, Ahmad Arif; Banase, Samuel Figo; Simarmata, Nuary Inaldy
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i1.286

Abstract

This research discusses the development of a web-based employee attendance application using the waterfall method at SMA Candra Naya. The waterfall method was chosen due to its organized structure, starting from requirement analysis to maintenance. The stages involved include requirement analysis, design, implementation, testing, and maintenance. The application utilizes QR-code technology as a unique identification tool for employees, enabling efficient and accurate attendance processes. Evaluation was conducted through internal testing at SMA Candra Naya to assess the performance and reliability of the application. The evaluation results indicate that the application successfully enhances the efficiency of attendance administration and simplifies employee attendance management. The primary contribution of this research is the application of the waterfall method as a systematic approach in developing web-based applications for employee attendance management, which can be adopted by educational institutions and similar organizations to improve the efficiency and accuracy of attendance processes.
Optimasi Deteksi Gerak Bahasa Isyarat dan Ekpresi Wajah Real Time Dengan Metode Random Forest Mulyana, Dadang Iskandar; Rasiban; Sutisna; Banase, Samuel Figo
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3188

Abstract

Sign language is the primary means of communication for deaf individuals, one of the alternative languages used by people with disabilities, and it has evolved from the deaf community. Sign language has many variations, making it something unfamiliar and difficult to interpret for some hearing or uninitiated people. This research aims to develop a real-time sign language motion and facial expression detection system using the Random Forest method. The main challenge in this detection is the complexity and variation of the movements and facial expressions. In this study, MediaPipe is used to extract features from video input, which are then analyzed using the Random Forest algorithm for classification. In this research, the model's evaluation results use a confusion matrix with testing scenarios based on the division of training and testing data. From the model evaluation results, an accuracy of 99% was achieved. This research is expected to help deaf individuals communicate with hearing people, thereby reducing social gaps.
Co-Authors Akbarulloh, Fery Dadang Iskandar Mulyana` Rasiban Simarmata, Nuary Inaldy Sutisna Wahyudi, Ahmad Arif