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All Journal Jurnal Ilmiah Sains dan Teknologi (SAINTEK) Jurnal Riset Multidisiplin Edukasi
Memed Saputra
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Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Physics Other

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PERANCANGAN SISTEM ABSENSI KEHADIRAN PEGAWAI BERBASIS INTERNET OF THINGS (IOT) DENGAN MENGGUNAKAN METODE WATERFALL Ibnu Fachrizal; Memed Saputra; Endang Kusnadi; Ahmad Rufa’i
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 10 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi Oktober 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i10.1106

Abstract

In the digital era, the implementation of Internet of Things (IoT) technology continues to evolve and is utilized in various fields, including employee attendance systems. However, many non-ASN employees in government institutions still record their attendance manually by writing it down on paper. This conventional method has several weaknesses, such as the potential for fraud, inefficiency, and the inability to monitor attendance in real-time. To address these issues, this study aims to design and develop an IoT-based attendance system using the Waterfall method. The system integrates Face Recognition technology as the primary authentication method to ensure accuracy in attendance recording. The ESP32-CAM microcontroller is employed as the main device responsible for managing facial identification and transmitting data to the server. In addition, the system is equipped with a real-time notification feature through the Telegram application. The Waterfall method is applied to ensure that each stage of system development is carried out systematically, starting from requirements analysis, design, implementation, testing, and maintenance. The results of this study show that the developed attendance system improves efficiency, accuracy, and transparency in attendance management. With its implementation, non-ASN employees who previously relied on manual attendance can benefit from a more modern, practical, and reliable solution.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik pada J&T Express Menggunakan Metode Simple Additive Weighting (SAW) Ahmad Rufa'i; Memed Saputra; Nur Alam; Alamsyah; Joen Kabolo Kambuno; Satria Wijaya; Muhammad Fadlan Bantani
Jurnal Ilmiah Sains dan Teknologi Vol. 10 No. 2 (2026): Jurnal Ilmiah Sains dan Teknologi
Publisher : Teknik Informatika Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/saintek.v10i2.4811

Abstract

J&T Express, as one of the leading shipping companies, faces challenges in evaluating employee performance, particularly couriers, to determine the best candidates worthy of promotion to permanent positions. This study focuses on designing and implementing a Decision Support System (DSS) for selecting high-performing employees using the SAW method, while also assessing the priority order's resilience to variations in weights for each assessment criterion. This study uses a mixed-methods approach, combining qualitative exploration through interviews and surveys to identify assessment criteria with quantitative SAW-based scoring for the ranking process; primary data was drawn from surveys and interviews with J&T Express supervisors, supported by literature studies from related scientific journals. Five main criteria were established: delivery performance, discipline, neatness, work experience, and competency test results. The findings of this study indicate that the application of the Simple Additive Weighting (SAW) method is able to produce an objective and structured employee priority order. 
Co-Authors Ahmad Rufa'i Ahmad Rufa’i Alamsyah Endang Kusnadi Ibnu Fachrizal Joen Kabolo Kambuno Muhammad Fadlan Bantani Nur Alam Satria Wijaya