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Journal : Jurnal Inotera

Analysis Based on Arduino Uno Producing a Baracuda Smoking Tool With a Smoke Concentration and Temperature Monitoring System Oktalia Triananda Lovita; Khairuman; Zharifah Muthiah; Rossiana Ginting
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID459

Abstract

A smoked barracuda fish product smoking device with closed circulation using a temperature monitoring system and smoke concentration based on Arduino Uno has been created. The design of the cold smoking device is divided into three parts, namely the combustion area, the smoke pipe, and the smoking chamber. Smoke drift of (25.53%-32.45)%. The average length of the fish was 16.7 cm and the average weight of the barracuda fish was 192.3 grams. 10 barracuda fish were put into the smoking room. The lowest water content value for smoked barracuda fish, namely 25.53%, occurred at a smoking time of 6 hours and the highest water content for smoked barracuda fish, namely 32.45%, occurred at a smoking time of 3 hours. The efficiency of the time needed to smoke mackerel on the water content was 6 hours compared to a smoking time of 3 hours. This means that the longer the smoking, the lower the water content value in smoked mackerel.
Design and Development of an RFID-Based Student Attendance System Using Student ID Cards as Identification Media and Local Mysql Recording Irhamna, Reza; Lili Kasmini; Khairuman
Jurnal Inotera Vol. 11 No. 1 (2026): January-June 2026
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol11.Iss1.2026.ID620

Abstract

This study aims to design and develop an RFID-based attendance system as a solution to the problems of conventional attendance systems, such as time inefficiency, cheating, and data loss. The system uses student ID cards (KTM) as an identification medium, is integrated with the ESP32 microcontroller and RC522 RFID reader, and is connected to a MySQL database through a website. The methodology used is research and development (R&D) with a prototype approach that includes requirement analysis, system design, implementation, and testing. Test results show that the system can read RFID cards accurately within an average time of 0.1 seconds and store attendance data in real time. System validation by experts using Aiken’s V method obtained an index value of 0.982, indicating a very valid system. User testing involving 15 students resulted in an average score of 4.85 out of 5, indicating that the system is very feasible and easy to use. This RFID-based attendance system is expected to improve efficiency and transparency in student attendance management.