Perbandingan Algoritma Forward Chaining dalam Sistem Pakar Rekomendasi Peminatan Bidang Teknologi

This research compares the runtime performance of four algorithms: forward chaining, backward chaining, breadth-first search (BFS), and depth-first search (DFS) in the context of an expert system recommending specializations in the technology field. Findings show that the forward chaining algorithm outperforms others, making it the preferred choice for technology specialization systems. Using forward chaining enhances user experience and the overall effectiveness of the expert system in providing accurate recommendations based on user interests in technology specializations.