Siti Maisaroh
Politeknik Negeri Manado

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DESIGN OF AN IOT-BASED SOLAR PHOTOVOLTAIC IRRIGATION PUMPING SYSTEM FOR RAINFED FARMING IN KEMBANG SARI VILLAGE Wayan Pasek Resti Awan; Fabiano Yanel Ayawaila; I Gede Para Atmaja; Johan Makal; Siti Maisaroh
EDUCATIONE Volume 4, Issue 2, July 2026
Publisher : CV. TOTUS TUUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59397/edu.v4i2.257

Abstract

Rainfed agriculture is highly vulnerable to rainfall variability and limited irrigation infrastructure, resulting in unstable agricultural production, particularly during prolonged dry periods. This study aimed to develop a detailed engineering design for an integrated solar-powered irrigation system equipped with Internet of Things monitoring for rainfed farmland in Kembang Sari Village. The study employed a research-and-development approach focusing on electrical-load analysis, photovoltaic and battery sizing, pump and reservoir configuration, hydraulic-system design, and sensor-based monitoring architecture. The proposed system integrates photovoltaic modules, a solar charge controller, lithium iron phosphate batteries, an inverter, a 1.5-hp irrigation pump, a water reservoir, and sensors for soil moisture, water level, flow rate, battery condition, and pump status. The results showed a total connected load of 1,156 W and a daily energy requirement of approximately 6,019 Wh. Considering an overall system efficiency of 80% and five peak-sun hours per day, the required generation capacity was estimated at 7,523.75 Wh/day. The recommended configuration consists of seven 250-Wp photovoltaic modules with a total capacity of 1.75 kWp, a minimum 50-A charge controller, a 6-kW inverter, and two 48-V 100-Ah lithium iron phosphate batteries. The hydraulic subsystem uses a pump with an estimated 12-m head and a 36-m³ reservoir to support a target water supply of approximately 36 m³/day. The integrated monitoring system enables remote supervision, automatic protection, and data-informed irrigation management. The design provides a technically coherent basis for prototype construction, although field validation is required to assess actual solar generation, pump performance, water adequacy, sensor reliability, maintenance requirements, and economic feasibility.
DESIGNING A SCADA-BASED MONITORING AND CONTROL SYSTEM FOR A SOLAR-POWERED LIVESTOCK FEED PRODUCTION MACHINE Yosua Surya Karuh; I Gede Para Atmaja; Johan Makal; Siti Maisaroh
EDUCATIONE Volume 4, Issue 2, July 2026
Publisher : CV. TOTUS TUUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59397/edu.v4i2.258

Abstract

Livestock feed production in small- and medium-scale farming still relies heavily on manual control and limited energy monitoring, resulting in operational inefficiency, higher production costs, and difficulty in tracking real-time electricity consumption. This study aimed to design a Supervisory Control and Data Acquisition (SCADA)-based monitoring and control system for a livestock feed production machine integrated with a solar photovoltaic power system. The research employed a Research and Development approach, involving problem identification, literature review, descriptive field analysis, hardware and software design, PLC ladder diagram development, and Human Machine Interface dashboard design. The proposed system integrates key SCADA components, including PLC, HMI, sensors, power meter, communication modules, and photovoltaic energy support. The design results show that the system can monitor electrical parameters such as voltage, current, power, energy consumption, and frequency in real time. The HMI dashboard enables operators to access data through tables, graphs, historical records, control menus, and alarm threshold settings. The study concludes that integrating SCADA with solar-powered livestock feed production technology can improve monitoring accuracy, operational efficiency, system safety, and energy sustainability. This research contributes to the development of smart farming technology by offering a conceptual model for automated, renewable-energy-based production systems. Future studies should focus on prototype implementation, field testing, cost-benefit analysis, and performance evaluation under different livestock production conditions.