| dc.description.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. | en_US |
