An Implementation of Profile Matching Method to Determine Agricultural Crops that Suit the Land
- 10.2991/aer.k.211222.020How to use a DOI?
- Land Suitability; Agricultural Productivity; Decision Support System; Recommendation; Alternative Ranking
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%.
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Aziz Fuady Negarawan AU - Maria Ulfah Siregar AU - Agung Fatwanto AU - M. Didik R. Wahyudi PY - 2021 DA - 2021/12/23 TI - An Implementation of Profile Matching Method to Determine Agricultural Crops that Suit the Land BT - Proceedings of the International Conference on Science and Engineering (ICSE-UIN-SUKA 2021) PB - Atlantis Press SP - 124 EP - 129 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.211222.020 DO - 10.2991/aer.k.211222.020 ID - Negarawan2021 ER -