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All Journal Journal of Information Technology and Computer Science J-MPI (Jurnal Manajemen Pendidikan Islam) Experiment: Journal of Science Education Jurnal Medika: Medika
Prayudi Lestantyo
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Engineering Health Professions Medicine & Pharmacology Nursing Physics Public Health

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Journal : Journal of Information Technology and Computer Science

 1 
Utilization of Current Data for Geospatial Analysis of the Appropriateness of Apple Plantation Land Based on Fuzzy Inference Systems Lestantyo, Prayudi; Ramdani, Fatwa; Mahmudy, Wayan Firdaus
Journal of Information Technology and Computer Science Vol. 4 No. 1: June 2019
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1508.714 KB) | DOI: 10.25126/jitecs.20194196

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.
Co-Authors Faslah, Romi Fatwa Ramdani, Fatwa Galih Puji Mulyoto Marudin, Marudin Miftahusyai'an, Mohammad Misbah Munir, Misbah Nuril Nuzulia Prima Astuti Handayani Wayan Firdaus Mahmudy Yuniar Setyo Marandy