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All Journal TEKNIK Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Prosiding Seminar Nasional Teknoka Spektra: Jurnal Fisika dan Aplikasinya Kilat TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Community Development Journal JURNAL TEKNIK TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Teknika Jurnal Abdimas ADPI Sains dan Teknologi Eksergi: Jurnal Teknik Energi Formosa Journal of Science and Technology (FJST) Jurnal Rekayasa elektrika SNTE
Manfaluthy, Mauludi
Electrical Engineering Department, Jakarta Global University, Jakarta, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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Standard Calibration Tool Lending System With Iot Integrated Fingerprint Identification At PT Sentral Tehnologi Managemen Pratama, Bambang Surya; Wilyanti, Sinka; Dionova, Brainvendra Widi; Manfaluthy, Mauludi; Putri, Arisa Olivia; Pratama, Legenda Pramewono
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 11, No 3 (2025): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v11n3.374-388

Abstract

The Internet of Things (IoT) is a network of interconnected devices that enables these objects to collect and exchange data. IoT offers an efficient solution for various fields, including the database recording of borrowing and returning calibration standard measuring instruments. This research aims to design and implement an automated IoT-based borrowing and returning system to support database recording effectiveness. The focus of this research includes the design of the borrowing and returning system, the method of transmitting data to Google Sheets, and email notifications when borrowing or returning activities occur. The research methods include the design of hardware consisting of a fingerprint sensor, infrared sensor, ESP32 microcontroller, liquid crystal display (LCD), and 4x4 keypad, as well as database recording to Google Sheets utilizing Google Sheets scripts and email notifications via Simple Mail Transfer Protocol (SMTP) connection. The research results show that the system was successfully developed with a high success rate for personnel identification accuracy, reaching up to 92%, with an average identification time of 1.42 seconds. Additionally, the developed system proved to be an effective solution for replacing the manual borrowing system, based on a survey of laboratory personnel.
Co-Authors Ade Sunardi Adi Wibowo Agung Pangestu Al-Humairi, Safaa Najah Sahud Al-Humairi, Safaa Najah Saud Anindya Ananda Hapsari Ariep Jaenul Arisa Olivia Putri Brainvendra Widi Dionova Chatarina Umbul Wahyuni Desi Hertin, Revita Devan Junesco Vresdian Dinova, Brainvendra Widi Drama Wicaksono Endang Mulyana Febria Anjara Hamzah Hamzah Hutagalung, Nirmalasari Iman Nurjaman Jonathan, Abraham Dhayan Karseno Karseno KOKO Legenda Prameswono Pratama Maulana, Muhamad Waldi Mohammed, M. N. Muhammad Assadullah Muhammad Ridwan Nugroho, Feri Pratama, Bambang Surya Pratama, Legenda Pramewono Sinka Wilyanti Sundari, Delta Supriyadi, Adi Vresdia, Devan Junesco Vresdian, Devan Junesco Wilyanti, Sinka Yanuar Zulardiansyah Arief Yordan Pramodja Yunan Lasito Yundari, Yundari