IMPLEMENTASI SISTEM SMART DOORLOCK KOST BERBASIS ESP32 DENGAN DETEKSI STATUS TAGIHAN MENGGUNAKAN LOGISTIC REGRESSION DAN MONITORING APLIKASI MOBILE
DOI:
https://doi.org/10.47662/alulum.v14i1.1174Keywords:
Smart Door Lock, ESP32, RFID, Logistic Regression, IoTAbstract
The management of boarding houses (kost) is not only related to providing residential facilities, but also involves administrative payment management and access security for tenants. Common problems that frequently occur include late payment of rental fees and the use of conventional door locks, which are vulnerable to misuse such as key duplication and unauthorized access. These conditions make it difficult for boarding house owners to monitor payments and room access effectively and in real time. Therefore, this study aims to design and implement an ESP32-based smart boarding house door lock system integrated with RFID, Firebase, and a mobile application, complemented by billing status detection using the Logistic Regression algorithm. The system operates by reading the tenant’s RFID card as an access identifier. The tenant’s identity data is then verified through the Firebase database to determine the payment status. Door access is granted only to tenants with a confirmed paid status, while tenants with outstanding payments are automatically restricted from accessing the room. The Logistic Regression algorithm is applied to predict payment status based on historical payment data, such as the duration of arrears and the frequency of on-time payments. The research method used in this study is Research and Development (R&D), which includes problem identification, literature study, hardware and software design, system testing, and result analysis. The expected outcome of this research is to enhance room access security, simplify real-time payment monitoring for boarding house owners through a mobile application, and create a more efficient, practical, and integrated boarding house management system based on Internet of Things technology.
References
Jannah, A. I., et al. (2020). Sistem informasi pemasaran rumah kost berbasis web, 8(2).
Wisaksono, A., Purwanti, Y., Ariyanti, N., & Masruchin, M. (2020). Design of monitoring and control of energy use in multi-storey buildings based on IoT. JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA), 4(2), 128–135.
Ahfas, A., Ulum, M. B., Saputra, D. H. R., & Syahrorini, S. (2020, June). Automatic spray disinfectant chicken with Android based on Arduino Uno. IOP Conference Series: Earth and Environmental Science, 519(1), 012013. IOP Publishing.
Novianti, T. (2019). Rancang bangun pintu otomatis dengan menggunakan RFID. Jurnal Teknik Elektro dan Komputer TRIAC, 6(1), 8-13.
Sungkono, A., & Ningsih, D. H. U. (2023). The Tsukamoto fuzzy method for predicting the availability status of goods inventory based on identification with RFID technology. JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA), 7(1), 27–39.
Carolin, S., Yanti, S., & Sulistiyowati, I. (2022). An inventory tool for receiving practicum report based on IoT by using ESP32-CAM and UV sterilizer: A case study at Muhammadiyah University of Sidoarjo. Journal of Electrical Technology UMY (JET-UMY), 6(1).
Raisnaldi, Y. A., et al. (2024). Prototype sistem kamera menggunakan ESP32 dengan modul kamera OV2640 yang berintegrasi Firebase.
Falah, A. H., Syahrorini, S., Wisaksono, A., & Prasetyo, Y. E. (2023). IOT-based sumo robot control using Blynk software. Academia Open, 8(1).
Ayuni, S. D., Syahrorini, S., & Jamaaluddin, J. (2021). Lapindo embankment security monitoring system based on IoT. Elinvo (Electronics, Informatics, and Vocational Education), 6(1), 40–48.
Anshory, I., Jamaaluddin, J., Fahruddin, A. R., Fudholi, A., Radiansah, Y., Subagio, D. G., … Sopian, K. (2024). Monitoring solar heat intensity of dual axis solar tracker control system: New approach. Case Studies in Thermal Engineering, 53, 103791.
Syahrorini, S., Salsabillah, Jamaaluddin, J., Wisaksono, A., Ayuni, S. D., & Hayatal, A. (2024, July). Protecting our little ones: A GPS-based child supervision tool with 99% accuracy rate. AIP Conference Proceedings, 3167(1), 040010. AIP Publishing LLC.
Jamaaluddin, J., Hadidjaja, D., & Arif, H. (2024, July). Smoke detection system using MQ2 sensor and Arduino microcontroller: Effective and efficient solution for promoting healthy environments. AIP Conference Proceedings, 3167(1), 040024. AIP Publishing LLC.
Jamaaluddin, J., Anshory, I., Fudholi, A., Ahmudiarto, Y., Martides, E., & Sopian, K. (2024). Heat transfer management of solar power plant for dryer. International Journal on Engineering Applications, 12(3).
Saputra, D. H. R., Syahrorini, S., Ahfas, A., & Jamaaluddin, J. (2019, December). SMS application in bird feed scheduling automation. Journal of Physics: Conference Series, 1402(4), 044008. IOP Publishing.
Yulianti, T., Cahyana, A. H., Komarudin, M., Mulyani, Y., & Septama, H. D. (2024). Penilaian pembayaran kredit dengan logistic regression dan random forest pada Home Credit. Pseudocode, 11(2), 79–88. https://doi.org/10.33369/pseudocode.11.2.79-88
Anshory, I., et al. (2024). Optimization DC-DC boost converter of BLDC motor drive by solar panel using PID and Firefly algorithm. Results in Engineering, 21. https://doi.org/10.1016/j.rineng.2023.101727
Sulistiyowati, I., Ichsan, H. M., & Anshory, I. (2024). Object sorting conveyor with detection color using ESP-32 camera Python based on Open-CV. JEECS (Journal of Electrical Engineering and Computer Sciences), 9(1), 61–68. https://doi.org/10.54732/jeecs.v9i1.7
Fauzan, A. (2023). Rancang bangun kunci rumah elektronik menggunakan ESP32 dan Android berbasis IoT (Undergraduate thesis). Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia.
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