Automatic Article Summary with the Term Frequency-Inverse Document Frequency Algorithm for Information on Elderly Health

Abstract

Elderly is someone whose age ranges from 60–74 years. At that age, one’s health tends to decline. Various programs have been provided by the Indonesian government, such as providing information, giving brochures, and giving announcements on the health service website. But this counselling is not optimal because of the elderly, tend to be lazy to read this because the eyes have started to farsight. So that the health information provided by dina health can be optimal, we try to make a model that is used to summarize an article so that the article is easily understood by the elderly. To summarize the article, this study uses the TF-IDF algorithm. By using the TF-IDF algorithm, it is expected that the elderly will be easier to understand health articles.