Implementasi Python dan Analytical Network Process (ANP) dalam Pengambilan Keputusan

Abstract

Decision making in a mathematical context often involves high complexity, especially when there are many interrelated criteria and alternatives. This research aims to implement the Analytical Network Process (ANP) method with the Python programming language to simplify and automate the decision-making process. The ANP method was chosen because of its ability to handle the mutual relationships between elements in the network, which allows for more accurate and measurable decision making. On the other hand, Python was chosen for its flexibility and ease of program implementation, especially with the ability to interact between decision makers and computer devices. In this research, the program was developed using a Graphical User Interface (GUI) to facilitate the interaction of decision makers with computers. The GUI is designed so that decision makers can perform prioritization, importance assessment, and pairwise comparisons in ANP more simply. The developed program is able to produce accurate and consistent weight calculations, increasing the efficiency of the overall decision-making process. The results show that implementing ANP with Python not only improves the accuracy and consistency of weight calculations, but also speeds up the decision-making process. This implementation proved effective in a variety of complex decision-making situations, offering a more efficient, accurate and structured solution. Thus, this research makes a significant contribution in the field of decision-making, demonstrating that the implementation of ANP and Python can be widely adopted in various fields to address complex decision problems.