Mariza Ainun Jariyah, Kaila Zalfa Ashofa, Afifah Nurin Aisyah, Aulianisa Hanan Az Zuhri, Videnina Mizzani

Analisis Regresi Linier Kelembaban Tanah dan Produksi Energi pada Plant-MFC Berbasis Padi untuk Pertanian Mandiri Energi

Introduction

Analisis regresi linier kelembaban tanah dan produksi energi pada plant-mfc berbasis padi untuk pertanian mandiri energi. Pelajari analisis regresi linier kelembaban tanah & produksi energi Plant-MFC berbasis padi. Teknologi bioelektrokimia ini hasilkan daya listrik untuk pertanian mandiri & SDGs.

Abstract

The global energy crisis and demand for environmentally friendly energy have driven the development of alternative bioelectrochemical technologies, such as the microbial fuel cell (MFC). This study analyses the effect of soil moisture on the electrical power generated by the MFC system. The research was conducted at Trensains Muhammal High School in Sragen from September to October 2025, using simple linear regression analysis. The analysis shows a regression equation of Y = 1.83 + 0.82X with a coefficient of determination (R²) of 0.994, indicating that 99.4% of the electrical power variability is explained by changes in soil moisture. The regression model was declared valid based on the F test (Fcount = 1258.7; p < 0.05), t test (tcount = 35.48; p < 0.05), and classical assumption tests (p > 0.05). The MFC system can produce 38.2 mW on an area of 100 cm², which is sufficient to power low-power devices. This technology has significant potential for use in sustainable agriculture and achieving SDGs 7 and 13.

Review

This manuscript presents a timely and relevant investigation into the performance of a rice-based Plant Microbial Fuel Cell (P-MFC) system, specifically focusing on the relationship between soil moisture and energy production. In an era marked by increasing global energy demands and a pressing need for sustainable, environmentally friendly alternatives, the development of bioelectrochemical technologies like P-MFCs offers a promising avenue. The study's emphasis on rice, a staple crop, and its potential for energy self-sufficient agriculture directly addresses critical challenges in food security and clean energy, aligning well with broader sustainability goals. The research employs a clear and straightforward methodology, utilizing simple linear regression to model the relationship between soil moisture and electrical power output. The reported findings are remarkably strong, with a regression equation (Y = 1.83 + 0.82X) demonstrating a highly significant correlation. A coefficient of determination (R²) of 0.994 is exceptionally high, indicating that almost all variability in electrical power is explained by changes in soil moisture. The statistical validity of the model is further reinforced by robust F-test and t-test results (p < 0.05), alongside successful classical assumption tests (p > 0.05), which collectively lend considerable credibility to the derived relationship. The stated power output of 38.2 mW over 100 cm² quantifies the practical capability of this system. The implications of these findings are substantial, suggesting that rice-based P-MFCs hold significant potential for powering low-power devices in agricultural settings, thus contributing to energy self-sufficiency and sustainable farming practices. This directly supports the achievement of Sustainable Development Goals 7 (Affordable and Clean Energy) and 13 (Climate Action). While the abstract provides compelling evidence of a strong correlation, a full paper would benefit from elaborating on the experimental setup, the specific range of soil moisture tested, and the underlying biochemical mechanisms that drive this relationship. Further discussion on the scalability, long-term stability, and economic viability would also strengthen the practical applicability of this promising technology. Overall, this study presents a robust preliminary analysis with exciting prospects for future research and development.

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