Research Article Open Access

A Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in Indonesia

Ditdit Nugeraha Utama1, Alvali Zaqi Taufan2, Al Ghifari Hartzani2, Hasfhi Haidi2, Yusuf Ramadhan Lubis2 and Wahyu Sardjono1
  • 1 Bina Nusantara University, Indonesia
  • 2 UIN Syarif Hidayatullah, Indonesia
Journal of Computer Science
Volume 16 No. 4, 2020, 518-531

DOI: https://doi.org/10.3844/jcssp.2020.518.531

Submitted On: 2 January 2020 Published On: 29 April 2020

How to Cite: Utama, D. N., Taufan, A. Z., Hartzani, A. G., Haidi, H., Lubis, Y. R. & Sardjono, W. (2020). A Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in Indonesia. Journal of Computer Science, 16(4), 518-531. https://doi.org/10.3844/jcssp.2020.518.531

Abstract

Indonesia has an incredibly wide area for agriculture. The agriculture area in Indonesia has specific characteristic for each area (e.g., water capacity, land porosity, land height, etc.,). Furthermore, food crop is the most plant planted in Indonesia; rice, corn, red bean, green bean are some important food crops. The study aims to create a Decision Support Model based on fuzzy logic (FDSM). The model is able to recommend the most suitable food crop to be rationally planted in a specified area. The recommendation is based on distance value between plant and area characteristic value. Two main methods are operated in this study, they are fuzzy logic and Euclidean distance measurement. The method fuzzy logic purposely avoids the ambiguity of parameter value and considers the human linguistic based parameter value. Afterward, the Euclidean distance adopted to calculate the fitness value as a fundamental value for decision recommendation. Here, seven geographic parameters (i.e., water availability, temperature, humidity, land height, land slope, rainfall and land porosity) matched to food crop’s biotic parameters in finding the fittest value. Finally, the model shows a simulation of recommendation for 514 administrative areas of 34 provinces’ district/municipality (in Indonesia) based on five types of food crops (i.e., rice, maize, soybeans, green beans and peanuts).

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Keywords

  • Fuzzy Logic
  • Decision Support System
  • Euclidean Distance
  • Food Crop
  • Indonesia