Analisis Prototype Smart Door Lock Berbasis RFID, Keypad dan Sensor Gerak
Keywords:
RFID, Keypad, Sensor Gerak, Keamanan Pintu RumahAbstract
In today's world, technological innovations make it easier to choose doors that enhance security, such as those with digital locks that integrate biometric systems such as fingerprint scanners or facial recognition. Previous research has successfully developed a prototype smart door locking system that combines RFID technology, keypads and motion sensors. Radio Frequency Identification (RFID) technology and keypads are two key components of modern security systems. Their use can enhance security in applications ranging from door access control to storage solutions. Motion sensors are devices designed to detect movement in a given area. They work by monitoring changes in the physical environment, such as changes in temperature, sound waves or electromagnetic fields, caused by the movement of objects or people. The method used in this research is the End User Computing Satisfaction (EUCS) approach, together with the BlackBox method. EUCS is a technique used to measure user satisfaction with a system, emphasising the user's experience while interacting with the system. Based on the analysis of the evaluation results, it can be concluded that the RFID-based smart door lock system, equipped with a keypad and a sensor, meets the usability criteria and falls into the good or acceptable category for users. In addition, the black box test results show that the system is functioning as expected.
References
Arif Rakhman. (2023). Analisa Sistem Keamanan Rumah Berbasis Internet of Things. SmartComp, 12(2).
Fathiah, Dedi Satria, Eliana, Ferdi Nazirun Sijabat, & Muhammad. (2023). Implementation of social media applications on the home security notification system using the Raspberry Pi.
Guo Chun Wan, Chao Wang, Mei Song Ton, & Jian Zhou. (2018). A Novel Intelligent Door-Lock and Management System Based on STM32 Microcontroller. IEEE.
Indah Puspa Yunita, & Ova Candra Dewi. (22 C.E.). The Impact of Indoor Lighting on Work Comfortability in Temporary Workspace at Home during Work from Home (WFH). IOPPublishing.
marina artiyasa, Aidah, Edwinanto, & Anggi. (2020). APLIKASI SMART HOME NODE MCU IOT UNTUK BLYNK. RekayasaTeknologiNusaPutra, 7(1).
Moh Eki Riyadani, & Subiyanto Subiyanto. (2022). Sistem Keamanan Untuk Otorisasi Pada Smart Home Menggunakan Pengenalan Wajah Dengan Library OpenCV. SISKM-KB, 5(2).
Muhammad Anis Al Hilmi, A Sumarudin, & Willy Permana Putra. (2020). ONE-TIME-PASSWORD (OTP) DENGAN MODIFIKASI VIGENERE CHIPER DAN PERANGKAT USB BERBASIS MICROCONTROLLER, SENSOR FINGERPRINT, DAN REAL TIME CLOCK (RTC) UNTUK AUTENTIKASI PENGGUNA PADA AKSES APLIKASI WEB. Cybersecuritysecuritydanforensicdigital, 3(2).
Muhammad Rizki Ritonga, Nurul Fadillah, & Liza Fitria. (n.d.). Sistem Kendali Peralatan Elektronik Rumah Tangga Melalui Media Wireless Fidelity Menggunakan Voice Recognition Secara Real Time. Infotekjar, 3(2).
Rezza Fariszal Hisyam Chaizara, & Cucuk Budiyanto. (2020). Context-aware Smart Home Berbasis Internet of Things. JOIVE, 3(1).
Rini Suwartika, & Den Restu Singgih. (2021). Designing An IOT-Based Smart Home Control Using Blink Application and ESP8266 Wi-Fi Module. E-Komtek, 5(1).
Sarah Faradita, & Robby Candra. (2019). Pengisi Username dan Password Otomatis dengan Sistem Keamanan Menggunakan RFID. Jikstik, 18(4).
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Copyright (c) 2024 Fathiah, Mursyidin, Baihaqi, Muhammad Rizal Fachri (Author)
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