Development of a Web-Based Decision Support System for Selecting the Optimal Duck Feed Using the Analytic Hierarchy Process (AHP)

Khaira Nazla (Universitas Negeri Medan, Indonesia)
Enrico Vincentius Manurung (Universitas Negeri Medan, Indonesia)
M Fauzan Hidayat (Universitas Negeri Medan, Indonesia)
Debi Yandra Niska (Universitas Negeri Medan, Indonesia)

Journal of Information Technology
Vol 13 No 01 (2025): J-Intech : Journal of Information and Technology

The selection of optimal livestock feed is essential for improving animal health and productivity. This study developed a web-based Decision Support System (DSS) using the Analytic Hierarchy Process (AHP) to help farmers choose the best feed based on nutritional content, price, and availability, including sub-criteria like protein, energy, fat, minerals, and vitamins. The system ranks alternatives using pairwise comparisons and priority weights. Validation against manual calculations showed high accuracy (correlation coefficient: 0.9987; errors <2.5%), with Fermented Feed (A3) as the top choice (score: 0.3611). Both methods produced identical rankings. The system reduces evaluation time by ~85% while maintaining accuracy, proving AHP’s effectiveness in digital livestock feed management tools.