Decision Support System for Determining the Suitability of Vegetable Cultivation Using the Multifactor Evaluation Process Method

The challenge faced by farmers today is that it is still difficult to determine the types of vegetable crops that are suitable for cultivation according to environmental conditions, namely climate, soil type, and water requirements. Inaccuracies in choosing crop types are often caused by limited knowledge and lack of access to information related to the influence of environmental factors on the success of cultivation. This constraint makes it difficult for farmers to identify the characteristics of the selection of commodity types of vegetable crops that should be cultivated, this has an impact on suboptimal yields and limited sustainability in agriculture. Decision Support System (DSS) technology can help overcome this problem with its ability to determine the suitability of vegetable cultivation. The Multifactor Evaluation Process (MFEP) method is used in this study to assess and rank alternatives based on criteria that have been given weight values based on the parameters of temperature, sunlight, rainfall, humidity, slope, soil pH, and altitude. The results of the application of the MFEP method show that the system can provide recommendations based on validation testing accuracy values reaching 81.8%, precision 100%, recall 71.4%, specificity 100%, and f1-score 83.3%. These results show that DSS using the MFEP method can provide relevant recommendations by assisting farmers in choosing the type of vegetable crops that best suit the environmental conditions in their area. The benefits of this research can facilitate farmers in recommending types of vegetable crops that are suitable for cultivation to increase productivity and quality of crops.