Decision support system for “porang plants” fertilizer selection using the simple additive weighting (SAW) method
Keywords:
Decision support system, Fertilization, NPK, Porang, Simple additive weightingAbstract
Porang (Amorphophallus muelleri Blume) is a tuber crop from the Araceae family that has high economic value and is widely cultivated by farmers in Indonesia. This plant offers various benefits in the fields of food, industry, and health. One of the key factors in porang cultivation is fertilization, as essential nutrients such as nitrogen (N), phosphate (P), and potassium (K) play a significant role in tuber growth. However, the high cost of fertilization reaching 40–60% of maintenance costs or 15–20% of total production costs often leads to inefficient and ineffective fertilizer use, which may also disrupt environmental balance. Therefore, this study aims to develop a Decision Support System (DSS) to determine the most suitable fertilizer type during the growth phase of porang plants to optimize crop yields. The system was built using the Simple Additive Weighting (SAW) method with five criteria: potassium content (weight 0.45), nitrogen content (0.26), phosphate content (0.16), fertilizer price (0.09), and fertilizer dosage (0.04). Empirical testing was conducted by comparing system calculations with manual SAW computations and expert validation. The results showed that the DSS produced consistent and accurate outputs, with NPK 16.16.16 ranked as the best fertilizer alternative, achieving a preference score of 0.8025. The system’s recommendations were also confirmed by agricultural experts as being relevant to porang’s growth needs. In conclusion, the developed DSS effectively supports decision-making in fertilizer selection by providing reliable, consistent, and data-based recommendations, which can potentially contribute to more efficient fertilizer management in porang cultivation.
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