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All Journal Riau Jurnal Teknik Informatika Jurnal Informatika dan Rekayasa Perangkat Lunak
Simanjuntak, Henry
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Smart Farming: Optimalisasi Produksi Telur Ayam Petelur menggunakan Sistem Cerdas Monitoring Suhu dan Kelembaban Kandang Berbasis IoT Pratomo, Panji; Saputra, Kurniawan; Novita Sari, Dita; Rahsel, Yoeyong; Herdiyan Saputra, Ricco; Suprapto, Bambang; Simanjuntak, Henry
Riau Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Maret 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i1.3264

Abstract

Egg production of laying hens is influenced by various factors, including temperature, humidity, and the quality of the cage environment. The main problem in this study is the fluctuation of production due to changes in environmental conditions that are not optimal. This study aims to develop and implement a smart farming system based on the internet of things (IoT) that is able to optimize egg production of laying hens through automatic monitoring of cage temperature and humidity. The methods used include needs analysis, design, implementation and testing. The results showed that the accuracy of the system reached 80% which could maintain the cage environmental conditions within the optimal range, so that egg production increased from an average of 383.67 eggs per month to 390.33 eggs per month.
Development of an IoT-Based Chicken Manure Management System Prototype for Efficiency and Sustainability Bambang; Simanjuntak, Henry; Widyastuti, Akni; P, Panji; Saputra, Kurniawan; Jaya, Tri Sandhika
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 4 (2025): Volume 6 Number 4 Desember 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i4.876

Abstract

Increasing the production scale of laying hen farms results in significant manure waste, thus posing challenges to animal and human health, as well as environmental quality. To address these issues, this study aims to develop a prototype of an Internet of Things (IoT)-based multilevel manure management system to improve operational efficiency and support farm sustainability. The study used a method that included needs analysis, design, implementation, and testing with a blackbox testing approach. The system was designed using the DS3231 RTC module for automatic scheduling, the MQ2 sensor for air quality detection, the ESP8266 microcontroller as the control center, the BTS7960 driver as the current regulator, and the DC motor and conveyor as actuators that drive manure removal, with monitoring results displayed on the LCD. The test results showed that all components functioned as designed: the RTC was able to execute the schedule on time, the MQ2 sensor detected the gas threshold accurately, the ESP8266 processed data and sent instructions properly, the BTS7960 delivered a stable current, the DC motor and conveyor worked according to the set duration. This study provides practical implications for modern farm management through the application of the environmentally friendly smart farming concept.
Co-Authors Bambang Dita Novita Sari, Dita Kurniawan Saputra P, Panji Pratomo, Panji Rahsel, Yoeyong Ricco Herdiyan Saputra Suprapto, Bambang Tri Sandhika Jaya Widyastuti, Akni