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KENDALI LAMPU OTOMATIS MENGGUNAKAN SENSOR LIGHT DEPENDENT RESISTOR (LDR) BERBASIS MIKROKONTROLLER ARDUINO nuris

Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/explorit.v9i2.1771

Abstract

Semakin berkembangnya jaman, saat ini otomatisasi cukup banyak digunakan untuk berbagai keperluan guna memudahkan pekerjaan manusia, dari hal yang vital sampe hal yang sepele, Sistem kendali dalam hal ini sebagai bidang ilmu yang memungkinkan implementasi otomatisasi. Pada penelitian ini, sistem kendali diterapkan untuk mengendalikan lampu secara otomatis menggunakan sensor cahaya. Pengendali yang digunakan adalah mikrokontroler Arduino . Mikrokontroler berfungsi untuk memproses sinyal masukkan dari sensor cahaya sebagai komponen umpan balik, kemudian menghasilkan keluaran yang ditujukan pada aktuator dalam hal ini adalah relay. Program yang diterapkan pada mikrokontroler berfungsi untuk melakukan inisialisasi dan konfigurasi perangkat keras serta membaca sinyal masukkan dari sensor cahaya yang kemudian memprosesnya dengan diberikan beberapa kondisi sampai menghasilkan keluaran. Hasil akhir penelitian ini adalah sistem penerangan otomatis untuk mengendalikan lampu berdasarkan pengukuran intensitas cahaya oleh sensor disekitar lampu yang kemudian dikonversi menjadi nilai ADC. Lampu akan menyala secara otomatis jika nilai ADC 0-60 dan sebaliknya lampu akan mati secara otomatis jika nilai ADC 61-102. Kata Kunci: sistem penerangan otomatis, mikrokontroler
Model of Integrated System for Feeding Catfish and Monitoring Pond Temperature Based on IoT Turnip, Franklin; Jason Rafif Pangestu Suryoatmojo; Nuris; Eddy Prasetyo Nugroho
Journal of Electronics Technology Exploration Vol. 2 No. 2 (2024): December 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joetex.v2i2.385

Abstract

Indonesia is renowned for its rich biodiversity, including a diverse array of ornamental and consumable fish species. These fish are widely cultivated in aquariums, ponds, and cages, with prices varying greatly depending on the species. However, the current method of manual fish feeding remains inefficient and time-consuming. To address this challenge, an automated fish feeding system has been developed to streamline and enhance the feeding process.This research project was conducted using a simulation approach to lay the groundwork for a future prototype. The simulation involves an IoT-based model capable of providing automated feeding for catfish and monitoring the temperature of their pond. The system is designed for future implementation at Botani UPI, where traditional manual feeding methods are still prevalent.The primary objectives of this research are to automate catfish feeding and monitor the temperature of their pond. Feed will be dispensed according to a predetermined schedule stored in a database, allowing for flexible adjustments via the internet.Testing has demonstrated the successful operation of the website, fulfilling its core functions: adjusting pond water temperature as needed, automatically providing catfish feed, and scheduling regular feeding intervals. Users can control these functions remotely, enabling effective pond monitoring and management without physically being present at the site.The success of this testing underscores the immense potential of the integrated system to elevate catfish farming productivity and efficiency. By maintaining optimal pond temperatures, the health and growth of catfish can be better sustained, while scheduled and accurate feeding helps minimize feed wastage and ensures adequate nutrition for the fish. Additionally, the system reduces the manual workload for farmers, allowing them to focus on other aspects of pond management. Overall, the implementation of this technology not only offers economic benefits through increased production yield but also promotes more sustainable and modern fish farming practices.