Implementasi Internet of Things (IoT) untuk Optimalisasi Manajemen Aset Peralatan Praktikum Menggunakan RFID dan NodeMCU

Authors

  • Joko Ristono Universitas Bina Sehat PPNI Mojokerto
  • Luki Ardiantoro Universitas Bina Sehat PPNI Mojokerto

DOI:

https://doi.org/10.55606/jupsim.v5i1.5935

Keywords:

Asset Management, Internet of Things (IoT), Laboratory System, NodeMCU, RFID

Abstract

Asset management in educational laboratory environments is often conducted manually, making it vulnerable to recording errors, delayed information, and equipment loss. These limitations necessitate the development of a system capable of capturing asset activities automatically, accurately, and in real time. This study aims to develop and evaluate the performance of a Smart IoT Asset Management System integrating Radio Frequency Identification (RFID), the NodeMCU ESP8266 microcontroller, and Google Sheets as an efficient and economical inventory solution for educational laboratories. This research adopts a system engineering approach with a descriptive–experimental design following the Network Development Life Cycle (NDLC) model. All 26 units of laboratory equipment were included as samples, and 10 respondents participated in the user evaluation. Data were collected through observation, semi-structured interviews, functional device testing, and user questionnaires. The analysis focused on RFID reading accuracy, system response time, data synchronization performance, and user perceptions. The results indicate a 100% RFID reading accuracy rate and a data synchronization time ranging from 7 to 10 seconds. The system successfully recorded all borrowing and returning activities without synchronization failures. User evaluation yielded an average satisfaction score of 4.8 out of 5, reflecting the system’s usability and practical benefits. This study provides important implications for laboratory digitalization, offering a low-cost, easily replicable, and IoT-based inventory solution suitable for educational institutions seeking modern asset management practices.

References

Abdulghani, H. A., Nijdam, N. A., & Konstantas, D. (2022). Analysis on security and privacy guidelines: RFID-based IoT applications. IEEE Access, 10, 131528-131554. https://doi.org/10.1109/ACCESS.2022.3227449

Abdullah, S., Fauzi, R., & Setiawan, I. (2024). Membangun sistem IoT sederhana pengendalian LED menggunakan Arduino Nodemcu ESP8266 di SMK Media Informatika. Dinamika: Jurnal Pengabdian Masyarakat, 2(1), 36-41. https://doi.org/10.56457/dinamika.v2i1.577

Ahson, S. A., & Ilyas, M. (2017). RFID handbook: Applications, technology, security, and privacy. CRC Press. https://doi.org/10.1201/9781420055009

Ajitha, A., & Radhika, S. (2020). IoT-based system for residential peak load management and monitoring of connected load. In International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy (pp. 209-221). https://doi.org/10.1007/978-981-15-8685-9_20

Alfawair, M. (2022). Internet-of-things: A system development life cycle (SDLC). Journal of Theoretical and Applied Information Technology, 100(5), 1643-1653.

Azzi, M., Amirault, P., Paquette, M., Klemberg-Sapieha, J. E., & Martinu, L. (2010). Corrosion performance and mechanical stability of 316L/DLC coating system: Role of interlayers. Surface and Coatings Technology, 204(24), 3986-3994. https://doi.org/10.1016/j.surfcoat.2010.05.004

Chaouchi, H., Bourgeau, T., & Kirci, P. (2013). Internet of things: From real to virtual world. In Next-generation wireless technologies: 4G and beyond (pp. 161-188). Springer. https://doi.org/10.1002/9781118600146

Chen, Y., & Chen, G. (2022). Optimization of the intelligent asset management system based on WSN and RFID technology. Journal of Sensors, 2022(1), 3436530. https://doi.org/10.1155/2022/3436530

Chua, H. S., Paramasivam, S., Goh, T. T., & Gee, C. C. (2019). Engineering laboratory inventory management system using cloud and RFID technology: Conceptual approach in KDU University College. AIP Conference Proceedings, 2124(1), 20043. https://doi.org/10.1063/1.5117103

DeBell, T., Goertzen, L., Larson, L., Selbie, W., Selker, J., & Udell, C. (2019). Opens hub: Real-time data logging, connecting field sensors to Google Sheets. Frontiers in Earth Science, 7, 137. https://doi.org/10.3389/feart.2019.00137

Kurniawan, S., & Aryapranata, A. (2019). Raspberry Pi network attached storage (NAS) dengan metode Network Development Life Cycle (NDLC). Jurnal Esensi Komputasi IBN, 3(2). https://doi.org/10.55886/infokom.v3i2.337

Kusumojati, P. P., & Mediawati, E. (2024). Web-based asset management information systems in higher education. International Journal of Business, Law, and Education, 5(1), 398-411. https://doi.org/10.56442/ijble.v5i1.382

Nirmalsari, P., Fahmi, H., & Fadli, S. (2023). Implementasi metode Network Development Life Cycle pada rancang bangun jaringan wireless berbasis Mikrotik. Jurnal Teknik Mesin, Industri, Elektro dan Informatika, 2(3), 72-87. https://doi.org/10.55606/jtmei.v2i3.2107

Putra, D. P., & Ayuni, S. D. (2024). Optimized smart home temperature monitoring using IoT: Pemantauan suhu rumah pintar yang dioptimalkan menggunakan IoT. Indonesian Journal of Innovation Studies, 25(3 SE-Innovation in Computer Science). https://doi.org/10.21070/ijins.v25i3.1170

Qiang, T., Guangling, G., Lina, C., & Han, W. (2018). Nodemcu-based low-cost smart home node design. IOP Conference Series: Materials Science and Engineering, 435(1), 12013. https://doi.org/10.1088/1757-899X/435/1/012013

Shidqi, M. R., & Tyas, R. S. (2024). Sistem manajemen aset laboratorium berbasis website. Universitas Islam Indonesia. dspace.uii.ac.id/123456789/52475

Tan, P., Wu, H., Li, P., & Xu, H. (2018). Teaching management system with applications of RFID and IoT technology. Education Sciences, 8(1), 26. https://doi.org/10.3390/educsci8010026

Thamizhselvi, D., Kaushik, K., Sandhiya, A., & Praveen, M. (2025). Real-time asset tracking using BLE technology. 2025 International Conference on Computing and Communication Technologies (ICCCT), 1-5. https://doi.org/10.1109/ICCCT63501.2025.11019196

Tondro, M., Jahanbakht, M., & Ozay, D. (2025). Enhancing IoT technology acquisition in emerging economies: Insights and recommendations using analytical case study review of IoT startups. Businesses, 5(2), 20. https://doi.org/10.3390/businesses5020020

Wahab, M. H. A., Kadir, H. A., Tukiran, Z., Tomari, M. R., Mutalib, A. A., Mohsin, M. F. M., & Idrus, M. N. E. M. (2010). Web-based laboratory equipment monitoring system using RFID. 2010 International Conference on Intelligent and Advanced Systems, 1-5. https://doi.org/10.1109/ICIAS.2010.5716177

Wijoseno, A., Uranus, H. P., & Pangaribuan, J. (2025). Pengendalian pengisian air otomatis menggunakan ESP32, MQTT, dan Kodular dengan notifikasi Whatsapp dan data logging melalui Google Sheets. Jurnal Informatika dan Teknik Elektro Terapan, 13(3). https://doi.org/10.23960/jitet.v13i3.7139

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Published

2025-12-05

How to Cite

Joko Ristono, & Luki Ardiantoro. (2025). Implementasi Internet of Things (IoT) untuk Optimalisasi Manajemen Aset Peralatan Praktikum Menggunakan RFID dan NodeMCU. Jurnal Publikasi Sistem Informasi Dan Manajemen Bisnis, 5(1), 79–88. https://doi.org/10.55606/jupsim.v5i1.5935