Deteksi Lemari Terguling Berbasis IoT dengan Notifikasi Telegram untuk Keselamatan Anak
DOI:
https://doi.org/10.61722/jssr.v4i1.8559Keywords:
Internet of Things; ESP8266; MPU6050; child safety; Telegram notificationAbstract
Household accidents involving children are often caused by furniture such as cabinets or shelves tipping over after being pushed or climbed on. This condition may result in serious injuries, therefore an early warning system that can quickly detect changes in furniture position is required. This study aimed to design and develop a cabinet or shelf tipping detection system based on the Internet of Things (IoT) with Telegram notifications as an alert medium for parents. The method used included hardware design using the ESP8266 module as the main controller and the MPU6050 sensor to detect tilt angles, as well as software design for data processing and message delivery through the Telegram Bot Application Programming Interface. The system worked by reading tilt angle data on specific axes and comparing them with predefined safety thresholds. When the angle exceeded the threshold, the system automatically sent warning messages to the parents’ smartphones. The test results showed that the system successfully detected dangerous tilt conditions and delivered notifications within a relatively short response time, indicating that it can function as an early warning system to improve child safety in home environments. This system is expected to assist parents in monitoring furniture stability and preventing accidents caused by tipping
References
Ashton, K. (2009). That “Internet of Things” thing. RFID Journal.
Borgia, E. (2014). The Internet of Things vision: Key features, applications and open issues. Computer Communications, 54, 1–31.
Buyya, R., Dastjerdi, A. V., & Calheiros, R. N. (2016). Internet of Things: A survey of enabling technologies. Journal of Parallel and Distributed Computing, 103, 1–17.
Espressif Systems. (2018). ESP8266EX datasheet. Espressif Systems Inc.
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.
InvenSense. (2013). MPU-6000 and MPU-6050 product specification. InvenSense Inc.
Kurniawan, D., & Pratama, R. (2019). Sistem monitoring suhu dan kelembaban berbasis Internet of Things menggunakan ESP8266. Jurnal Informatika, 6(2), 101–108.
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440.
Madakam, S., Ramaswamy, R., & Tripathi, S. (2015). Internet of Things (IoT): A literature review. Journal of Computer and Communications, 3, 164–173.
Mulyana, A., & Hidayat, T. (2021). Implementasi sensor accelerometer untuk deteksi kemiringan berbasis mikrokontroler. Jurnal Teknik Elektro, 13(1), 25–32.
Putra, A. (2020). Sistem peringatan dini berbasis Internet of Things untuk keamanan rumah. Jurnal Teknologi Informasi, 5(2), 45–52.
Rahman, M., Setiawan, D., & Prakoso, B. (2022). Implementasi notifikasi Telegram pada sistem monitoring IoT berbasis ESP8266. Jurnal Sistem Komputer, 10(1), 12–20.
Santoso, B., & Wibowo, A. (2020). Rancang bangun sistem keamanan rumah berbasis IoT menggunakan sensor gerak. Jurnal Teknologi dan Sistem Komputer, 8(3), 150–158.
Suryadi, F., & Nugroho, E. (2018). Pemanfaatan sensor gyroscope untuk monitoring posisi objek. Jurnal Elektronika, 7(2), 90–97.
Telegram. (2023). Telegram Bot API documentation. Telegram Messenger LLP.
Widodo, A., & Prasetyo, H. (2019). Pengiriman data sensor menggunakan modul WiFi ESP8266 berbasis Arduino. Jurnal Rekayasa Elektrika, 15(1), 55–62.
Wijaya, M., & Saputra, R. (2021). Sistem monitoring berbasis web menggunakan Internet of Things. Jurnal Informatika dan Komputer, 9(2), 120–128.
Yuliana, S., & Firmansyah, A. (2020). Analisis performa jaringan pada sistem IoT berbasis WiFi. Jurnal Jaringan Komputer, 4(1), 33–40.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet of Things Journal, 1(1), 22–32.
Zhou, Q., & Zhang, J. (2017). Design of tilt detection system based on accelerometer sensor. International Journal of Electronics and Communication Engineering, 11(4), 210–216.
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