PENGEMBANGAN SMART SISTEM BRANKAS BERBASIS INTERNET OF THINGS

MUHAMAD HASYIM ASHARY, . (2026) PENGEMBANGAN SMART SISTEM BRANKAS BERBASIS INTERNET OF THINGS. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan mengembangkan prototipe Smart Sistem Brankas berbasis Internet of Things (IoT) dengan menerapkan autentikasi berlapis sebagai mekanisme pengamanan akses. Penelitian menggunakan metode Research and Development (R&D) dengan model pengembangan V-Model. Sistem dikembangkan menggunakan Arduino Mega 2560 sebagai pengendali utama, modul PN532 untuk membaca data autentikasi pada Blok 4 kartu MIFARE, sedangkan proses dekripsi sederhana menggunakan algoritma XOR dan pencocokan data autentikasi dilakukan oleh Arduino Mega. Tahap autentikasi berikutnya menggunakan modul Voice Recognition V3 untuk mengenali perintah suara yang telah didaftarkan. Konsep Internet of Things diterapkan melalui modul ESP32-CAM yang berfungsi mengambil gambar pengguna dan mengirimkan gambar beserta informasi status akses ke Bot Telegram melalui jaringan internet, Bot Telegram digunakan sebagai media monitoring, bukan sebagai sistem autentikasi utama. Sistem juga dilengkapi OLED Display sebagai media informasi, DFPlayer Mini sebagai pemberi instruksi suara, serta relay yang mengendalikan solenoid door lock bertipe normally locked sebagai mekanisme pembuka pintu brankas. Hasil pengujian menunjukkan bahwa sistem catu daya menghasilkan tegangan masukan sebesar 12,35 V dan tegangan keluaran sebesar 5,01 V sehingga mampu mendukung kebutuhan kerja seluruh modul pada skenario pengujian. Tingkat keberhasilan pembacaan dan verifikasi data autentikasi kartu MIFARE mencapai 100%, sedangkan pengenalan perintah suara mencapai 87,5%. Pengujian ESP32-CAM memperoleh tingkat keberhasilan 80% karena pada satu skenario tanpa koneksi internet proses pengambilan gambar tidak dijalankan sesuai program. Pengujian Telegram memperoleh tingkat keberhasilan 85,7% karena pada kondisi internet tidak aktif pesan dan gambar tidak dapat dikirim ke Bot Telegram. Solenoid door lock hanya aktif apabila autentikasi kartu dan perintah suara berhasil dilakukan. Berdasarkan hasil penelitian, prototipe berhasil diimplementasikan sesuai rancangan dan mampu menjalankan autentikasi berlapis, monitoring berbasis IoT, serta mekanisme penguncian elektronik secara terintegrasi sebagai sistem keamanan tambahan pada brankas mini. Namun, sistem masih bergantung pada sumber listrik dan koneksi internet untuk fungsi monitoring, belum menggunakan catu daya cadangan, serta belum menerapkan autentikasi biometrik suara, face recognition, maupun mekanisme kriptografi yang lebih kuat. ***** This study aimed to develop a Smart Safe Box prototype based on the Internet of Things (IoT) by implementing multi-layer authentication as an access security mechanism. The research employed the Research and Development (R&D) method using the V-Model development approach. The system was developed using an Arduino Mega 2560 as the main controller and a PN532 module to read authentication data stored in Block 4 of a MIFARE card, while XOR-based decryption and authentication data verification were performed by the Arduino Mega. The second authentication stage utilized the Voice Recognition V3 module to recognize registered voice commands. The IoT concept was implemented through an ESP32-CAM module that captured user images and transmitted them along with access status information to a Telegram Bot via an internet connection. The system was also equipped with an OLED Display as a user interface, a DFPlayer Mini for voice instructions, and a relay controlling a normally locked solenoid door lock as the electronic locking mechanism. The experimental results showed that the power supply produced an input voltage of 12.35 V and an output voltage of 5.01 V, which was sufficient to support all system modules under the tested operating conditions. The MIFARE card authentication achieved a 100% success rate, while the registered voice command recognition achieved 87.5%. The ESP32-CAM achieved an 80% success rate because image capture was intentionally disabled in one test scenario without an internet connection. Telegram achieved an 85.7% success rate because messages and images could not be transmitted when the internet connection was unavailable. The solenoid door lock was activated only when both card authentication and registered voice command recognition were successfully completed. The results indicate that the proposed prototype was successfully implemented according to the system design and was capable of providing multi-layer authentication, IoT-based remote monitoring, and an integrated electronic locking mechanism as an additional security system for a mini safe box. However, the system still depends on electrical power and an internet connection for monitoring, does not include a backup power supply, and has not implemented biometric voice verification, automatic face recognition, or more advanced cryptographic algorithms.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Wisnu Djatmiko, M.T; 2). Vina Oktaviani, S.Pd, M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Muhamad Hasyim Ashary .
Date Deposited:	10 Aug 2026 04:30
Last Modified:	10 Aug 2026 04:30
URI:	http://repository.unj.ac.id/id/eprint/68890

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