LoRa communication is currently gaining significant research attention globally for various applications, such as the Internet of Things (IoT) owing to its long-range transmission and energy-efficient characteristics. Meanwhile, Software-Defined Radio (SDR) technology, with its flexible customization and rapid adaptability for diverse radio applications, fully meets the requirements of such communication systems. While mulation studies and commercial deployments exist, there is a lack of reports that integrate theoretical evaluation with experimental validation on SDR platforms, particularly those incorporating a real-time monitoring framework. This paper presents a complete LoRa testbed based on ADALM-PLUTO and GNU Radio, which integrates a real-time dashboard using Node-RED, MQTT, and Database Management System (DBMS). The research methodology comprises two parts: (i) Monte Carlo simulations over an AWGN channel to establish a theoretical Bit Error Rate (BER) vs. Signal-to-Noise Ratio (SNR) baseline for various Spreading Factors and Coding Rates, combined with Time-onAir calculation; and (ii) experimental BER/Packet Error Rate (PER) measurements on the SDR platform to compare against the theoretical baseline and assess real-world performance. The real-time dashboard enables the monitoring and control of message transmission/reception, bservation of signal strength, and real-time tracking of the packet error rate