Identifying determinant factors to internet access using decision tree

Internet access is an important aspect in the digital literacy. There is many advantages to be able to access the internet in term of education, economic and information. Unfortunately, there is a lack of internet access of many Indonesian people. Thus, this paper aims to identify determinant factors to internet access of Indonesian people. The used method is decision tree as classification method in the supervised learning and the data is from National Socio-Economic Survey, East Java Province. To develop the decision tree model, the target variable is having internet access or not, meanwhile the input variables are socioeconomic factors, i.e. mobile phone usage, computer usage, age, gender, education level, residential location, working status. Based on the best decision tree model, the selected variables that influence people to access the internet are, age, education level, computer usage and mobile phone usage. In term of these variables, the characteristic of people who will access the internet the first is who use the computer and the second is from senior or higher education, using mobile phone, and more than 36 years old. The accuracy of this decision rules is 88% for both training and testing datasets.