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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Jurnal E-Komtek Journal Zetroem Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Electrician : Jurnal Rekayasa dan Teknologi Elektro Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Venus: Jurnal Publikasi Rumpun Ilmu Teknik Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Pemberdayaan Masyarakat: Jurnal Aksi Sosial
Endah Fitriani
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Sistem Absensi Siswa di SMK Negeri 1 Indralaya Utara Menggunakan Fingerprint dan Rekam Kamera yang Terintegrasi Telegram Berbasis Arduino Hartini Hartini; Endah Fitriani; Nina Paramytha; Tamsir Ariyadi
JURAL RISET RUMPUN ILMU TEKNIK Vol. 5 No. 1 (2026): April: Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v5i1.7495

Abstract

The distinctive markings on the fingers are known as biometrics. The fingerprint attendance method uses biometrics. Without developing a usable fingerprint tool, research on fingerprint attendance is restricted to processing attendance data. As a result, an Arduino-based fingerprint approach was used to construct an attendance tool. The education sector is where SMK Negeri 1 Indralaya Utara. The school's student attendance system is still operated manually. In this study, the system uses fingerprints and camera recording to track students' locations. Using an Arduino Mega as a microcontroller, this tool will display student attendance information on an LCD, save it on an SD card module, and send the ESP32CAM-generated photographs over Telegram. The literature review is the first step in the research process, followed by hardware and software design. Following completion, the tool is put through testing to evaluate its functionality. Each of the ten participants scanned their thumb and index finger. The thumb and index finger have an average of five tests, with a 0.28% mistake rate, depending on the number of trials. Each component's error percentage is less than 1% while still falling within the 5% tolerance limit. The image test results indicate two conditions: 20 cm and greater. The ESP32CAM will activate when we take a picture at a distance of 20 cm.
Monitoring Of Preservative Detection Devices In Market Foodstuffs Anugrah pratama; Nina paramitha; Tamsir Ariyadi; Endah Fitriani
PROtek : Jurnal Ilmiah Teknik Elektro Vol 13 No 1 (2026): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v13i1.9713

Abstract

Food safety is a crucial issue in Indonesia, especially regarding the use of hazardous preservatives such as formaldehyde in street food. Manual monitoring of formaldehyde use is often ineffective, so an automated system is needed to detect formaldehyde in real time. This study aims to develop an Internet of Things (IoT)-based formaldehyde detection system using an ESP32 microcontroller equipped with an ultrasonic sensor for automatic object detection. The detection data is sent to a Telegram-based platform. The test results show that this system is capable of accurately detecting objects at a distance of 0-20 cm and measuring voltage well to ensure the stability of the device. Testing of food samples shows the presence of borax in some street food, which proves the effectiveness of the system in detecting harmful preservatives and improving food safety.
Co-Authors Andri Agus Salim Anugrah pratama Engla Desita Hartini Hartini Irham Fadilah M. Dwi Rifaldi M. Habiburrahman Muhammad Abiyyu Raihan Muhammad Nadifh Nina Paramitha Nina Paramytha Tamsir Ariyadi Try Wahyuni Yuni Ananda, Viyanti