Pearson Correlation Method and Web Scraping for Analysis of Islamic Content on Instagram Videos

Abstract

The Indonesian Internet Service Providers Association (APJII) revealed that more than half of Indonesia's population is now connected to the internet. One of the social media that can be accessed using is Instagram. Instagram is a photo and video sharing application that allows users to take photos, videos and apply digital filters. In the video post on Instagram, user can see the number of videos displayed especially for Islamic content. But if more video posts are displayed it, are the user get a lot of likes. In this study used web scraping technology which is useful for retrieving data on Instagram. Then the data were calculated using the Pearson correlation method to determine whether or not the relationship between like variables and the number of likes being strong. So, it can be a benchmark for preachers to know what kind of posts are preferred by Instagram users.