Open AccessUtilization of Current Data for Geospatial Analysis of the Appropriateness of Apple Plantation Land Based on Fuzzy Inference Systems
Author(s) -
Prayudi Lestantyo,
Fatwa Ramdani,
Wayan Firdaus Mahmudy
Publication year - 2019
Publication title -
jitecs (journal of information technology and computer science)
Language(s) - English
Resource type - Journals
eISSN - 2540-9824
pISSN - 2540-9433
DOI - 10.25126/jitecs.20194196
Subject(s) - geospatial analysis , field (mathematics) , inference , fuzzy logic , fuzzy inference system , fuzzy inference , geographic information system , computer science , spatial analysis , cluster analysis , data mining , adaptive neuro fuzzy inference system , remote sensing , geography , fuzzy control system , mathematics , machine learning , artificial intelligence , pure mathematics
Apple is a high-value import fruit in Indonesia. One of the Apple production centers in Indonesia is Batu City, but the results tend to be declining in every year. To fulfill the demand of domestic apple industry, it is than a must to open new plantation land by observing the spatial factor. Expert and direct field review are needed to perform the analysis of land suitability, so that it will takes a lot of time and effort. Therefore, a smart system that can conduct geospatial analysis by using fuzzy inference system is developed. The data was obtained by using satellite imagery, data interpolation, and digitized and then analyzed into information. The analysis was performed on each pixel with six variable inputs including altitude, rainfall, humidity, air temperature, soil type and sun shine intensity. Besides that, the five-clustering output makes the results more accurate. From the results of the accuracy test, it is obtained a 92,86% accuracy, by comparing the results of the spatial analysis using fuzzy inference system with direct review on the field.