Indonesia have low quality of education. According Trend International Mathematics and Science Study, Indonesian student’s mathematical literacy is ranked 36 from 49 countries. For Science literacy, Indonesia is ranked 35 from 49 countries. To increase quality of education in Indonesia, Indonesia’s government make a new policy for new student admission called zoning system. Zoning system is a new student admission according distance from house to school. Zoning system is new policy in Indonesia and there are still many pros and cons of the zoning system. Sentiment analysis is used to know whether Indonesia’s people agree or disagree about zoning system policy. In this study, we use supervised statistical learning methods that are Support Vector Machine (SVM) and Naïve Bayes for sentiment analysis of zoning system admission policy. The results show that Indonesia’s people tend to disagree with the zoning system admission policy because negative opinion is greater than positive opinion. Furthermore, accuracy rates of SVM and Naïve Bayes are 92.93% and 79.86% respectively. So, SVM is better than Naïve Bayes for sentiment analysis of zoning system admission policy.

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Plastic waste is a problem that almost exists in all countries. This problem arises because of the lack of facilities that can handle the plastic waste. Suroboyo Bus is an innovation for this problem because Suroboyo Bus uses plastic bottles as payment. The purpose of this research is to predict the percentage contribution of Suroboyo Bus in handling plastic waste. The Fourier series estimator performs well for data modeling with seasonal trend patterns. This paper examines two approaches to the Fourier series. The difference between the approaches is the inclusion of the phi (π) function in the model. The result shows the goodness of fit criterion model with π function are for and 0,08% for MAPE whereas the fit criterion model without π function is 100% for and 0,07% for MAPE. In conclusion, the Fourier series model without the π function is better because the Fourier series model without the π function is more satisfy the goodness of fit criteria than the Fourier series model with the π.