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Manurung, Asrar Aspia
Universitas Muhammadiyah Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Journal : computer science and information technologies

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Implementation and design of GPS tracker monitoring system on car rental vehicles based on internet of things using Nodemcu ESP-32 Indah Purnama Sari; Al-Khowarizmi Al-Khowarizmi; Asrar Aspia Manurung
Computer Science and Information Technologies Vol 7, No 2: July 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v7i2.p214-223

Abstract

Internet of things (IoT) based vehicle tracking system is an effective solution to overcome various problems in the vehicle rental industry, such as asset loss, route misuse, and late returns. This study aims to design and implement a real-time vehicle position monitoring system using the NodeMCU ESP-32 module integrated with the NEO-6M GPS module and Wi-Fi connectivity to send data to a cloud-based server. This system is designed to display the vehicle position directly through a web-based digital map interface, which can be accessed by vehicle owners anytime and anywhere. The methodology used includes hardware and software design, location accuracy testing, and data integration with a web-based visualization platform using a map API. The test results show that the system is capable of sending vehicle location data with a position accuracy level of up to ±5 meters and data updates every 10 seconds under stable network conditions. In addition, the system has good power efficiency, with an average current consumption of 80–100 mA when active. All data was successfully stored and visualized in real-time using the Google Maps API, and the system was able to operate stably for 24 hours of non-stop testing. Based on these results, the IoT-based GPS tracker system with NodeMCU ESP-32 can be effectively implemented on rental vehicles as a modern monitoring solution that is cost-effective, flexible, and easily accessible. This system provides added value in fleet monitoring and supports faster and data-based decision making.
Co-Authors A Akrim Adidtya Perdana, Adidtya Afnita Simamora Agus Makmur Ahmad Rahmatika Ahmad Riady Hasibuan Akmal, Arina Zawani Al Hamidy Al Khowarizmi Andy Satria Anhar Baehaqi Devi Afriyanti Dewi Sartika Nainggolan Dicky Apdilah Dinda Nadia Siregar Elsa Febrina Harahap Emilia Pebriwanti Saragih Erikawati Gurning Famati Fama Gulo Fransiska Helen G. Gunawan Guntur, Surya Hapzi Ali Hariani, Pipit Putri Hutapea, Megawati Indah Purnama Sari Indah Purnama Sari Irham Habibi Harahap Irma Yani Tarigan Irvan Irvan Is Dinawati Purba Khairun Nisah Laoli, Desman Lydia Doris Fransiska Simaremare M.Pd, Akrim Mandra Saragih Marah Doly Nasution MD, Pipit Putri Hariani Mey Waty Silaban Mhd. Basri Mimi Maisyarah Muhammad Basri Mulkan Azhari Nurani Brutu Oktaviani Napitupulu Oris Krianto Sulaiman Pipit Putri Hariani MD Rahmah Ramadhani Ramadhani, Fanny Rohmah, Muqoronatur RR. Ella Evrita Hestiandari Ruth Tiarma Manik Simare-mare, Lydia Doris Fransiska Siregar, Wanti Dahlia Sri Hariani Manurung Sri Hariani Manurung, Sri Hariani Surya Wisada Dachi Surya Wisada Dachi Syafrayani, Putri Rizki Tengku Aldy Hatta Tua Haloman Tua Halomoan Harahap Wirani, Nasrah Zainal Azis