Sistem Akses Pintu Berbasis Face Recognition Menggunakan ESP32 Module dan Aplikasi Telegram

Nuraeni, Nuraeni; Anggraini, Indah; B, Nurul Isra Humairah; Ramadhani, Indri Pratiwi; Hadis, Muhammad Sabirin; Muliadi, Muliadi; Nurzaenab, Nurzaenab

doi:10.26858/jmtik.v4i3.23700

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…Aplikasi ini juga dapat di gunakan untuk semua perangkat selular, juga dapat di gunakan di computer dengan system windows. Yang lebih mengejutkan lagi telegram juga menyediakan untuk membuat BOT sesuai dengan apa yang di inginkan penggunanya [13]. Untuk langkah-langkah pembuatan aplikasi telegram adalah sebagai berikut:pada Gambar 5 menjelaskan perancangan pembuatan Telegram Bot pada aplikasi Telegram.…”

Section: Perancangan Telegramunclassified

Monitoring Pengunaan Daya 3 Phase Dengan Notifikasi Berbasis Telegram

Hariski¹,

Wicaksono²

2022

jeetech

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Voltage Monitoring, current, and power on the panel are a must because this monitoring can see the magnitude of the voltage, current, cos phi, and power on the load. One of these monitoring is to determine the quality of electricity, such as drop voltage, low cos phi. In this era of technology, monitoring can be viewed using mobile, so users don't need to come to the panel and see the measurement results, users look at the smartphone device. In this research, a researcher will make a tool that can monitor electrical measurements in 3 phase panel using mobile on a microcontroller. Data will process from the current transformer at 3 phase panel by the ESP8266 microcontroller to convert into three-phase voltage, current, and power figures. The ESP8266 microcontroller which is equipped with wifi can be used for remote monitoring. An android smartphone with a telegram software application will function as communicate via wifi with the ESP8266 microcontroller so that all measurement data can also be monitored on the smartphone. The reading of the electric power monitoring tool has an accuracy of 97.39%. This shows that the tool can function very well.

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Section: Perancangan Telegramunclassified

Monitoring Pengunaan Daya 3 Phase Dengan Notifikasi Berbasis Telegram

Hariski¹,

Wicaksono²

2022

jeetech

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“…Based on previous research, namely "Face Recognition-Based Door Access System Using ESP32 Module and Telegram Application" this one still needs to be developed system with improved new features in the form of additional passive infrared receiver sensors for detects suspicious objects and provides accurate information. Reports and alarms,sent to the buzzer [4]. Therefore, researchers conducted a study "Home Security Design with ESP32-CAM and IoT-Based Alarm Notifications Using the Telegram Application" It is hoped that people who leave the house will feel safe because of the design of this equipment.…”

Section: Introductionmentioning

confidence: 99%

Designing Home Security With Esp32-Cam and IoT-Based Alarm Notification Using Telegram

Kurniawan,

Hariyanto

2023

bit-Tech

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Nowadays, technological advances have entered human life. One of the security system solutions is the use of Closed Circuit Television (CCTV) as a monitoring medium, but it is still lacking. This is because more and more crimes are committed in homes where the owner is away. As a result, each home needs a security system that can protect the wealth and assets of the owner. Similarly, currently existing security systems are rarely able to provide data directly to homeowners if an outsider wants to commit a crime. So, research was conducted with the title "Home Security Design with ESP32-CAM and Internet of Things (IoT) Based Alarm Notification Using Telegram Application". With this device plan, it is believed that individuals who leave the house will feel safer. This device can detect an infrared wave produced by humans within its range and is equipped with an alarm/buzzer that produces output in the form of notifications on Telegram and alarm sounds on the device. The PIR sensor and ESP32-CAM integrated with the Telegram mobile device form the basis of this security system. This research has successfully implemented a device aimed at reducing home burglary issues by detecting human motion, triggering alarms, and enabling remote monitoring through Telegram. Additionally, the adapter utilized in the system produces an average voltage value of 5.196 V with an average error rate of approximately 3.9%.

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“…Informasi yang diberikan oleh sistem ini akan dikirimkan melalui aplikasi Telegram. Dalam jurnalnya [15] mengatakan bahwa untuk memantau dan mengendalikan sistem penguncian pintu rumah, kita dapat menggunakan aplikasi Telegram dikarenakan aplikasi tersebut memberikan biaya yang terjangkau untuk diterapkan ke sistem penguncian pintu.…”

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Sistem Keamanan Pintu Berbasis Face Recognition Menggunakan Raspberry Pi 3

Pribadi,

Fitri,

Safitri

et al. 2024

FIFO

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Menurut Badan Pusat Statistik tahun 2021 mengatakan bahwa tingkat kejahatan pencurian pada tahun 2020 di Riau meningkat sebesar 2.730 kasus, oleh sebab itu kasus pencurian dirumah menjadi hal yang sangat sering terjadi. Penyebab terjadinya pencurian tersebut ialah karena banyaknya rumah yang memakai sistem kunci gembok tradisional yang bentuknya kecil. Terdapat banyak solusi yang telah dibuat oleh peneliti terdahulu seperti menggunakan sidik jari, password, sensor PIR, suara, retina dan lain-lain. Namun semua masih terdapat kekurangannya masing-masing. Untuk itu solusi yang diberikan ialah dengan membuat sistem keamanan pintu rumah berbasis face recognition. Face recognition sendiri ialah sebuah teknologi yang dapat mencocokkan wajah manusia dari citra digital atau cuplikan video melalui basis data wajah. Tujuan dari penelitian ini ialah sistem mampu mengidentifikasi wajah pemilik rumah. Sistem berhasil mengirimkan informasi berupa foto, tag nama dan waktu pada aplikasi Bot Telegram grup yang di monitoring oleh anggota keluarga terkait seseorang yang masuk kedalam rumah. Sistem juga berhasil menampilkan pesan teks pada LCD 16x2 untuk memberikan info tag nama seseorang yang sedang mengakses kamera.

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Sistem Akses Pintu Berbasis Face Recognition Menggunakan ESP32 Module dan Aplikasi Telegram

Cited by 5 publications

References 7 publications

Monitoring Pengunaan Daya 3 Phase Dengan Notifikasi Berbasis Telegram

Monitoring Pengunaan Daya 3 Phase Dengan Notifikasi Berbasis Telegram

Designing Home Security With Esp32-Cam and IoT-Based Alarm Notification Using Telegram

Sistem Keamanan Pintu Berbasis Face Recognition Menggunakan Raspberry Pi 3

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