PERFORMANCE INVESTIGATION OF IOT-BASED SOIL MOISTURE CONTROL SYSTEM WITH KALMAN FILTER AND ITS IMPLEMENTATION FOR NATURAL AND SOCIAL SCIENCE PRACTICUM PHASE E OF VOCATIONAL HIGH SCHOOL
Penulis Utama
:
Dea Muthia Febry
NIM / NIP
:
K2320025
×<p class="MsoNormal" xss="removed">Dynamic changes in environmental conditions need to be periodically monitored to prevent crop failures or suboptimal plant growth. To address this issue, an environmental control system needs to be developed and optimized with Kalman filter algorithms in signal processing, enabling more accurate and reliable environmental monitoring. The aim of this research is to determine the performance of developed solar energy aided Iot-based automatic soil moisture control system with Kalman filter algorithm. This research employed experimental methods, including system calibration, algorithm testing by finding the optimum R and Q ratios to suppress fake signals induced by vibrated sensors, experimental validation by using linear regression inputted into coding, and field testing in different soil moisture control. By employing an innovative Kalman filter-based approach, our research reveals a more sophisticated solution to address the complex challenges in sensor signal processing, which not only highlights the strength of the algorithm in eliminating false noise but also its practical application in improving sensor measurement accuracy. Based on the results of linear regression analysis between IoT system data and DataTaker, the coefficient of determination (R2) approaches 1, indicating a strong correlation between the variables. Consequently, it can be inferred that soil moisture values indicated by the calibrated IoT system are increasingly close to the true values. In the Kalman filter algorithm testing, the ratio of measurement variance constant (Q) = 1 and measurement constant (R) = 1000 proved to be appropriate as it yielded the best filtering results with the smallest error values. Experimental validation was conducted by inputting the optimal Q:R ratio into the coding and collecting data over a 24-hour period. IoT readings result successfully maintain at ± 75%. Field test have also demonstrated that system operates well. From an educational perspective, this system, along with the practicum module, has been validated by materials and media experts and is suitable for implementation in Natural and Social Sciences (IPAS) subjects.<br></p>
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Penulis Utama
:
Dea Muthia Febry
Penulis Tambahan
:
-
NIM / NIP
:
K2320025
Tahun
:
2024
Judul
:
PERFORMANCE INVESTIGATION OF IOT-BASED SOIL MOISTURE CONTROL SYSTEM WITH KALMAN FILTER AND ITS IMPLEMENTATION FOR NATURAL AND SOCIAL SCIENCE PRACTICUM PHASE E OF VOCATIONAL HIGH SCHOOL
Edisi
:
Imprint
:
Surakarta - Fak. KIP - 2024
Program Studi
:
S-1 Pendidikan Fisika
Kolasi
:
Sumber
:
Kata Kunci
:
control system, soil moisture, Kalman filter, integrated learning practicum, Internet of Things (IoT), practicum module
