Design and Construction of Crop Suitability Prediction System Using Fuzzy Logic Classifier Method

https://doi.org/10.31940/logic.v21i3.139-148

Authors

  • Meli Gustina Politeknik Negeri Sriwijaya
  • Irma Salamah Politeknik Negeri Sriwijaya
  • Lindawati Politeknik Negeri Sriwijaya

Keywords:

fuzzy logic, agriculture land, prediction

Abstract

The potential of land in Indonesia which is quite large and has not been used optimally is one of the problems. this study focused on developing fuzzy logic models to predict plants that are suitable for planting on agricultural land to enable the land use more optimal. In conducting this study, there were two stages of implementation, namely hardware design, and software design which included system workflow design using the Fuzzy Logic Classifier method where three input variables were used, namely soil pH, soil temperature, and humidity. The findings of this study are in the form of predictions consisting of eight outputs, namely Unfavorable Land, Spinach, Cayenne Pepper, Beans, Long Beans, Cucumber, Eggplant, and Tomatoo. The prediction results generated were directly displayed on the LCD of the instrument that has been designed.

Published

2021-11-30

How to Cite

Gustina, M., Salamah, I. ., & Lindawati. (2021). Design and Construction of Crop Suitability Prediction System Using Fuzzy Logic Classifier Method. Logic : Jurnal Rancang Bangun Dan Teknologi, 21(3), 139–148. https://doi.org/10.31940/logic.v21i3.139-148

Issue

Section

Articles