Analysis Skin Health Patterns in Highlands Area with Apriori and Bayes Contributions
Dewi Sartika Br Ginting, T. Henny Febriana Harumy, Fitri Aulia Fadillah Nasution, Muhammad Erald Setyaki Siregar
Abstract
The skin is a sensitive part of the human body and is most often noticed by humans, especially women. The condition of the skin itself varies significantly for each person. This is due to the influence of age, profession, both those who spend a lot of time in the field or who spend a lot of time in the AC room, as well as the domicile of the area where they live. This study is devoted to analyzing the skin health patterns of people in highland areas, where highland areas are often in hot weather conditions but cold and humid air and strong winds. This dramatically affects the state of the skin. Researchers are trying to educate the people of the highlands that with the environmental conditions in the highlands, the community must be more active in taking care of their skin. The analysis was carried out using a priori and Bayes algorithms. Where a priori will form a pattern of rules from the results of the data obtained, and Bayes will calculate the value of confidence or the value of trust from the regulations that are formed. After the analysis was carried out, one of the rules was that people with an adult age of 20 to 60 years who lived in Tiga Arrow Village with a profession as a farmer and had a moisturizer level on their skin <30%, then the skin condition tended to be very dry with a group of confidence, namely the confidence value. By 80.6% with the support of 68.3% of the total data.