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Maya Yusida
Lambung Mangkurat University
Computer Science & IT

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IMPLEMENTASI FUZZY TSUKAMOTO DALAM PENENTUAN KESESUAIAN LAHAN UNTUK TANAMAN KARET DAN KELAPA SAWIT Maya Yusida; Dwi Kartini; Radityo Adi Nugroho; Muliadi Muliadi
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 4, No 2 (2017)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v4i2.115

Abstract

Land suitability is the suitability of a plot of land for a particular use. In the determination of appropriate plant recommendations on land, the Banjarbaru Swampland Food Crops Research Institute sets out 8 criteria in its assessment. These criteria include Soil Depth (cm), CEC Soil (cmol), Saturation Bases (%), pH (H2O), C-Organic (%), N Total (%), P2O5 (mg / 100g), K2O (mg / 100g). Making this expert system using Fuzzy Tsukamoto method. The results obtained from this expert system in the form of data on land suitability for rubber and palm oil plantations that are prioritized to be planted in a field based on the growing requirements of a plant. Keywords: Expert System, Land Suitability, Fuzzy TsukamotoKesesuaian lahan adalah kecocokan sebidang lahan untuk penggunaan tertentu. Dalam penentuan rekomendasi tanaman yang sesuai terhadap lahan, Balai Penelitian Tanaman Pangan Lahan Rawa Banjarbaru menetapkan 8 kriteria dalam penilaiannya. Kriteria tersebut meliputi Kedalaman Tanah (cm), KTK Tanah (cmol), Kejenuhan Basa (%), pH (H2O), C-Organik (%), N Total (%), P2O5 (mg/100g), K2O (mg/100g). Pembuatan sistem pakar ini menggunakan metode Fuzzy Tsukamoto. Hasil yang didapat dari sistem pakar ini berupa data tingkat kesesuaian lahan untuk tanaman karet dan kelapa sawit yang lebih diprioritaskan untuk ditanam disuatu lahan berdasarkan syarat tumbuh suatu tanaman. Kata Kunci : Sistem Pakar, Kesesuaian Lahan, Fuzzy Tsukamoto
Co-Authors Dwi Kartini, Dwi Muliadi Muliadi Radityo Adi Nugroho