Jurnal Ilmu Komputer dan Agri-Informatika
Vol. 11 No. 1 (2024)

Model Klasifikasi Kesesuaian Lahan Bawang Putih Menggunakan Interpolasi Spasial dan Algoritme Pohon Keputusan

Dini Hayati (Unknown)
Imas Sukaesih Sitanggang (Unknown)
Annisa (Unknown)



Article Info

Publish Date
31 May 2024

Abstract

Garlic stands as a vital horticultural product requiring consistent fulfillment each year. The production of garlic is not proportional to meet the consumption demand, prompting the government to import garlic to meet domestic needs. Among these efforts, expanding garlic cultivation lands holds significant importance. This study aims to determine a classification model for garlic suitability of land using the C5.0 algorithm based on land characteristics and temperature interpolation using the IDW method. The research resulted in 5 rules for land suitability classes with an accuracy of 97.81% on a dataset with temperature data for May 2022. The important variable in determining land suitability classes during this period is soil mineral depth. On the other hand, the accuracy value on a dataset with temperature data for July 2022 yielded 17 rules for land suitability with an accuracy of 95.91%. The important variable in determining land suitability classes during this period is base saturation.

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Journal Info

Abbrev

jika

Publisher

Subject

Agriculture, Biological Sciences & Forestry Computer Science & IT

Description

Jurnal Ilmu Komputer dan Agri-Informatika (JIKA) diterbitkan setiap bulan Mei dan November, memuat tulisan ilmiah yang berhubungan dengan bidang Ilmu Komputer serta aplikasi informatika untuk pengembangan pertanian. Berkala ilmiah ini menerima tulisan hasil penelitian dari luar ...