|
Vol.14, No.4, November 2025. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Intelligent Decision Support System Model for Determining Horticultural Crop Suitability
Petrus Wolo, Sri Mulyana, Aina Musdholifah
© 2025 Sri Mulyana, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 14, Issue 4, Pages 3242-3249, ISSN 2217-8309, DOI: 10.18421/TEM144-32, November 2025.
Received: 04 February 2025.
Abstract:
The productivity of horticultural crops in Sikka Regency is often hindered by land characteristics and quality, leading to suboptimal yields. Key challenges include unsuitable land for horticultural cultivation, limited farmer knowledge about land characteristics and appropriate crop types, as well as difficulties in obtaining accurate land data. In order to solve these problems, this research introduces an intelligent decision support model for determining the suitability of horticultural crops based on climate, soil, and topographic parameters. The model integrates the Analytic Hierarchy Process (AHP) and profile matching. AHP is employed to determine the weights of criteria and sub-criteria as well as to process data by assigning scores for calculations. The profile matching method identifies gap weights and ranks criteria, values, and final results. Additionally, interpolation is used to find interval values for ideal plant profiles and gap weights. By evaluating the model performance, of all the average test priorities, the top five test priorities have the highest test values, namely an accuracy value of 78.79%, a recall of 78.79%, and a precision of 100%. The results suggest that the proposed approach effectively supports decision-making in determining the most suitable horticultural crop types.
Keywords – Intelligent decision support, suitability of horticultural, analytic hierarchy process, interpolation, profile matching. |
|
----------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- |