Decision Support-Based Recommendation System in Selection of Contraceptives for Family Planning Acceptors Method

This study aims to develop a decision support-based recommendation system in the selection of contraceptives for family planning acceptors. The selection of the right contraceptive is very important to ensure the effectiveness and comfort of the user, as well as to support the government's program in controlling the population. The developed system utilizes the Analytical Hierarchy Process (AHP) and Profile Matching approaches to analyze various criteria that influence the selection of contraceptives, such as age, health history, body mass index, breastfeeding mothers, childbirth history, duration of use and salary. Through the integration of AHP, the system can give weight to each criterion based on its level of importance, while Profile Matching is used to match the acceptor profile with the ideal criteria of each type of contraceptive. The results of this system are website-based contraceptive recommendations that are personalized for each acceptor according to their profile and needs. This system is built using the prototyping method, to ensure that the system can be easily accessed by health workers and facilitate rapid feature updates based on feedback. System testing shows that the proposed method can provide accurate and relevant recommendations that can help health workers in providing appropriate advice and increasing the level of satisfaction and suitability of acceptors in using contraceptives in line with strategic target of National Population and Family Planning Agency (BKKBN).