Classification Of Potential Patients Using The Fuzzy K-Means Algorithm at Woman’s and Children’s Hospital

Abstract

Adina Wonosobo Woman’s and Children’s Hopsital is one of the hospitals in the Wonosobo Regency. To increase the number of patient visits, promotion is carried out through broadcast messages to patients. In evaluating its implementation, problems were found in determining the patient list of recipients of promotional broadcast messages. This problem arises because the determination of the list of recipients of promotional messages is only done on the contact numbers stored on the marketing team's mobile phones. The Fuzzy K-Means method is a data grouping method that is used as a reference for decision-making. Patient visit data were obtained from the RSIA Adina Wonosobo information system database. Furthermore, the data was analyzed to determine the potential of digital marketing priority patients using the clustering method with the Fuzzy K-Means algorithm.