Proceedings of the International Conference on Science and Engineering (ICSE-UIN-SUKA 2021)

An Implementation of Profile Matching Method to Determine Agricultural Crops that Suit the Land

Authors
Aziz Fuady Negarawan1, Maria Ulfah Siregar1, 2, *, Agung Fatwanto1, 2, M. Didik R. Wahyudi1
1Department of Informatics, Undergraduate Program, UIN Sunan Kalijaga Yogyakarta
2Department of Informatics, Magister Program, UIN Sunan Kalijaga Yogyakarta, Indonesia
*Corresponding author. Email: maria.siregar@uin-suka.ac.id
Corresponding Author
Maria Ulfah Siregar
Available Online 23 December 2021.
DOI
https://doi.org/10.2991/aer.k.211222.020How to use a DOI?
Keywords
Land Suitability; Agricultural Productivity; Decision Support System; Recommendation; Alternative Ranking
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 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%.

Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Science and Engineering (ICSE-UIN-SUKA 2021)
Series
Advances in Engineering Research
Publication Date
23 December 2021
ISBN
978-94-6239-494-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/aer.k.211222.020How to use a DOI?
Copyright
© 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  - https://doi.org/10.2991/aer.k.211222.020
ID  - Negarawan2021
ER  -