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Abstract

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.

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Author Biographies

Prayudi Lestantyo, Universitas Brawijaya

Faculty of Computer Science

Fatwa Ramdani, Universitas Brawijaya

Faculty of Computer Science

Wayan Firdaus Mahmudy, Universitas Brawijaya

Faculty of Computer Science
How to Cite
Lestantyo, P., Ramdani, F., & Mahmudy, W. F. (2019). Utilization of Current Data for Geospatial Analysis of the Appropriateness of Apple Plantation Land Based on Fuzzy Inference Systems. Journal of Information Technology and Computer Science, 4(1), 64–75. https://doi.org/10.25126/jitecs.20194196
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