DSS for Mobile-Based Determination of the Quality of Gayo 1 Coffee Seedlings by Combining the AHP-WP Method

Mia Nurjannah (Information Systems Study Program, Faculty of Technology and Science, Universitas Islam Negeri Sumatera Utara, Indonesia)
Samsudin Samsudin (Information Systems Study Program, Faculty of Technology and Science, Universitas Islam Negeri Sumatera Utara, Indonesia)
Muhammad Dedi Irawan (Information Systems Study Program, Faculty of Technology and Science, Universitas Islam Negeri Sumatera Utara, Indonesia)

IJAIT (International Journal of Applied Information Technology)
Vol 05 No 02 (November 2021)

Determining the quality of Gayo 1 coffee seeds with manual calculations can affect time efficiency because manual calculations often result in inconsistent and time-consuming calculations. A decision support system is needed to determine the quality of Gayo 1 coffee seeds with consistent and accurate calculations and processed through computational speed. Applying the AHP-WP method can determine the quality of coffee seeds of the Gayo 1 variety at IP2TP Gayo. The discussion that becomes the focus is the application of the AHP method to determine the weight of the coffee seed criteria. The resulting weight can be continued in the calculation of the WP method to determine the quality of the Gayo 1 coffee seed based on the alternative preference value or vector S. The results of the study provide information regarding the quality of coffee seeds that have been tested for quality.