IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN TANAMAN PERTANIAN YANG SESUAI DENGAN LAHAN MENGGUNAKAN METODE PROFILE MATCHING (STUDI KASUS: KABUPATEN BANTUL)

Aziz Fuady Negarawan, NIM. 16650030 (2021) IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN TANAMAN PERTANIAN YANG SESUAI DENGAN LAHAN MENGGUNAKAN METODE PROFILE MATCHING (STUDI KASUS: KABUPATEN BANTUL). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

The suitability of land conditions and crops is one of the factors that affect agricultural productivity. To get maximum results, agricultural crops must be planted on land that has the right conditions for crops to grow optimally. Lack of knowledge about land characteristics often makes farmers grow crops that are not suitable for their land so that the productivity are not optimal. To make it easier to determine suitable crops, a decision support system is needed to provide plant recommendations based on land conditions by applying the Profile Matching method. There are two aspects used in this resarch, namely the physical aspect of the soil and the chemical aspect of the soil. There are 13 criteria used for the plant recommendation dss, namely temperature, altitude, rainfall, humidity, drainage, texture, cation exchange capacity, alkaline saturation, pH H2O, organic C, alkalinity, slope, erosion, and inundation. The result of this research is a decision support system that is able to provide an alternative ranking of what plants are suitable to be planted on certain land. Data from the test results stated that 41,7% respondents stated strongly agree, 50% respondents stated agreed, 8,3% respondents stated neutral, 0% of respondents stated disagree and strongly disagree. Data from the evaluation of the Profile Matching method shows an accuracy rate of 77.94%, a recall rate of 77.94%, and a precision of 100%.

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