%0 Conference Paper
%A Negarawan, Aziz Fuady
%A Siregar, Maria Ulfah
%A Fatwanto, Agung
%A WAHYUDI, M. Didik R.
%B The International Conference on Science and Engineering (ICSE-UIN-SUKA 2021)
%D 2023
%F digilib:57590
%K land suitability; agricultural productivity; decision support system; recommendation; alternative ranking
%T An Implementation of Profile Matching Method to Determine Agricultural Crops that Suit the Land
%U https://digilib.uin-suka.ac.id/id/eprint/57590/
%X 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 is 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. This method is broadly a process of comparing the actual data value of a profile to be assessed with the expected profile value, so that differences in competence can be known. There are two aspects used in this research, namely the physical aspect of the soil and the chemical aspect of the soil. There are 13 criteria used for the plant recommendation, namely temperature, rainfall, humidity, drainage, texture, cation exchange capacity, base saturation, pH H2O, organic C, alkalinity, slope, erosion, and inundation. The result is an alternative decision support system to provide an alternative ranking of what plants are suitable to be planted on certain land. Data from the evaluation of the Profile Matching method show an accuracy rate of 77.94%, a recall rate of 77.94%, and a precision of 100%.