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All Journal Journal of Applied Science, Technology & Humanities
Brilliant Sandynigy Fernando
Computer Engineering Technology, School of Vocational Studies, IPB University
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

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Prediction Fuzzy Implementation in Monitoring System Based On Humidity, Soil Quality, And Environmental Conditions Brilliant Sandynigy Fernando; Muhamad Rangga Maulana Malik; Fauzan Graha Dwi Putra; Stivan Hari Sukma; Muhammad Danang Mukti Darmawan; Nanda Octavia; Fiqri Nurfadillah
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 3 (2024): June 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/fffrrw78

Abstract

This research aims to evaluate the quality of soybean plant growth by considering three main factors: moisture content, light intensity, and soil pH. The Mamdani method is used as a system approach to optimize the processing of collected data for plant growth support. Measurements were taken using a sampling method to analyze the data comprehensively. In this experiment, moisture content, light intensity, and soil pH were measured to create optimal conditions for soybean plant growth. The implementation of the Mamdani method in this system is done by classifying inputs, such as data on water content, light intensity, and soil pH used during the planting period, then producing outputs based on experiments conducted according to predetermined criteria. Furthermore, comparisons are made to the samples to get the results of data analysis. This method can provide recommendations for optimizing environmental conditions for plants. By utilizing MATLAB application, accurate data analysis and visualization of results can be done efficiently. This research is expected to provide in-depth insight into the complex interactions between the three factors and their impact on soybean plant growth. This has significant implications for the development of sustainable agriculture and can provide valuable insights for farmers to improve soybean yields.
Co-Authors Fauzan Graha Dwi Putra Fiqri Nurfadillah Muhamad Rangga Maulana Malik Muhammad Danang Mukti Darmawan Nanda Octavia Stivan Hari Sukma