Social Network Analysis of Health Development in Indonesia

Abstract

The regular availability of up to date data for evaluating the government's policy is still lack. One of them is data for evaluating development in the health sector. Data are crucial for decision making and policy evaluation. Public perspective or sentiment to each program initiated by the government is a form of evaluation from the citizen. Therefore, we need a technique that can regularly supply data used for decision-maker to measure the success of development programs. Utilization of news can help overcome the cost and time in carrying out updates on development initiated and performed by the government. In this study, we developed an application which can collect health development-related online news, process and analyze them to reflect the public's perspective to the health development programs. Successfully collected 1,204 news articles where 117 articles from detik.com, 661 articles from kompas.com and 426 articles from tempo. co. A total of 500 from 1,204 news articles are used as training data for making Named Entity Recognition models. Sentiment analysis of research results shows that the sentiments of the public to the issue of equitable quality of health services, financial protection, and distribution of drugs and medical personnel are positive. The results of the study indicate that news can be used as an analytical material for evaluating development, the results of which are quite relevant to the results achieved.