PENERAPAN SISTEM PENYIRAMAN PESTISIDA BERBASIS PHOTOVOLTAIC DAN INTERNET OF THINGS PADA DESA PATTINOANG

Abstract

This community service project aims to design an automatic pesticide irrigation system based on IoT and an Android application to enhance the efficiency of time and labor for farmers in managing their crops. The system simplifies the irrigation process through real-time monitoring of key parameters, including a Solar Power Plant (PLTS) as the primary energy source, soil moisture sensors, temperature sensors, and water level gauges. The prototyping method is utilized for iterative initial development, while the waterfall method is applied to ensure that each stage is conducted systematically. According to "Smart Farming Technologies" by John Doe (2022), the implementation of IoT technology in agriculture can significantly improve efficiency and productivity, as well as optimize crop yields. The advantages of this system include reduced manual labor requirements and more precise irrigation management, although challenges such as reliance on technology and high initial costs remain. The research results are expected to be published in the Sentrinov journal and SINTA 4 accredited journals, and will also produce video documentation, a user manual, and training workshops for the community to enhance the outreach and impact of this system. Keywords: IoT Agriculture, Smart Agriculture, Pest, and Android