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All Journal Infotekmesin Fuse-teknik Elektro
Eki Ahmad Zaki Hamidi
UIN Sunan Gunung Djati Bandung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

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Prototipe Smart Chicken Farm Berbasis Internet of Things (IoT) Menggunakan Blink Eki Ahmad Zaki Hamidi
Fuse-teknik Elektro Vol 4, No 1 (2024): Jurnal FUSE-Teknik Elektro
Publisher : Fakultas Teknik Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jft.v4i1.4045

Abstract

Penelitian ini membahas pengembangan prototipe Smart Chicken Farm berbasis Internet of Things (IoT) menggunakan platform Blink. Sistem ini dirancang untuk memantau dan mengontrol berbagai aspek dari peternakan ayam secara real-time, termasuk suhu, kelembaban, dan pemberian pakan otomatis. Sensor-sensor yang digunakan mengirimkan data ke mikrokontroler, yang kemudian memproses dan mengirimkannya ke aplikasi Blink melalui koneksi internet menggunakan NodeMCU ESP8266. Pengguna dapat memantau kondisi peternakan dan mengontrol perangkat dari jarak jauh melalui aplikasi Blink. Hasil implementasi menunjukkan peningkatan efisiensi operasional dan kemudahan dalam pengelolaan peternakan ayam. Sistem ini memberikan solusi efektif dan inovatif untuk manajemen peternakan ayam modern. 
Desain dan Implementasi Pengolahan Citra Pada Sistem Autonomous Sentry Gun Menggunakan CMUCam5 dan Arduino Mega 2560 Eki Ahmad Zaki Hamidi; Firman Febrianto Asmoro; Mufid Ridlo Effendi
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2309

Abstract

Security is a top priority in various sectors, including military, industrial, and household security. Conventional security systems often require continuous human surveillance, reducing effectiveness and responsiveness. This research aims to address these issues by designing and implementing an Autonomous Sentry Gun system using the CMUCam5 module and Arduino Mega 2560 microcontroller. The system detects and tracks targets automatically, utilizing CMUCam5's vision tracking capabilities to identify objects based on color and shape. The Arduino Mega 2560 serves as the main processing unit, controlling motor movements and firing mechanisms based on data from the camera module. Test results show that the system can detect and follow targets with high accuracy under various lighting conditions. The color yellow with RGB code 255, 255, 0 has the longest tracking distance of 450 cm, while the color purple with RGB code 128, 0, 128 has the shortest tracking distance of 250 cm. This implementation is expected to be applicable in various fields requiring automated security systems.
Co-Authors Firman Febrianto Asmoro Mufid Ridlo Effendi