Analysis the Issue of Increasing National Health Insurance (BPJS Kesehatan) Rates through Community Perspectives on Social Media: A Case Study of Drone Emprit

Abstract

Mobile phones are devices that always embedded in the society of Indonesian people, around 91% of Indonesians population use mobile phones and around 60% are smartphones. The most widely used smartphone application is social media, around 60% of Indonesia's population uses social media. The number of social media users in Indonesia opens up opportunities to analyze these social media data. Social media data mining, commonly referred to as text mining, can help stakeholders implement a data driven policy. In this paper will discuss the public perception on social media related to the issue of rising fees national health insurance or Badan Penyelenggara Jaminan Sosial (BPJS Kesehatan). The social media analyzed is Twitter because it can provide a comprehensive sentiment and discussion of an issue. We used Drone Emprit system to analyze social media data, Drone Emprit is a big data system that captures and analyzes discussion and sentiments on social media platforms, in this case Twitter. The data analyzed are all conversations that took place over 60 days in the time span of 22 September to 22 November 2019. During that time period 360,820 total conversations occurred with a percentage of sentiment of 91% showing negative sentiment, 5% positive and 4% neutral. This data shows that the majority of Indonesian people do not agree with the increase in fees of national health insurances (BPJS Kesehatan).