<![CDATA[Manual measurement of soil pH, temperature, and moisture often produces fragmented field data that are difficult to use for periodic land monitoring. This study developed an Internet of Things-based prototype for monitoring soil conditions to support precision agriculture. The system integrated a soil pH sensor, a waterproof DS18B20 soil temperature sensor, a soil moisture sensor, an ESP32 NodeMCU, Wi-Fi communication, data storage, and a web-based dashboard. The research followed a prototype development model covering requirement analysis, system design, hardware and software implementation, testing, evaluation, and refinement. Field testing was conducted from February to April 2026 at 08:00, 12:00, and 16:00. The results showed that soil pH ranged from 6.47 to 6.70 with an average of 6.58, soil temperature ranged from 21.30°C to 28.61°C with an average of 24.57°C, and soil moisture ranged from 73.67% to 90.00% with an average of 87.71%. Functional testing indicated that the prototype could read, transmit, store, and visualize soil data through the dashboard during operation. The proposed model is feasible as an early-stage monitoring system for data-driven soil management, although future accuracy validation with calibrated instruments is still required.]]>
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