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The development of education has several important points to be developed. One of them is through teachers' performance. Teachers' role becomes important in generating high quality and competitive graduates. Quantitative method with multiple regression analysis technique was used to observe the influence of work satisfaction and intrinsic motivation towards teachers' performance which was moderated by transformational leadership. The sample consisted of 149 Vocational High School teachers in Pemalang Regency. The research finding showed that there was significant effect of work satisfaction and intrinsic motivation towards teacher's performance which was moderated by transformational leadership.

The rapid development of Big Data as result of increasing interactivity with online systems between humans (e.g., online shopping, marketplace) and machine (internet of things, mobile phone, etc.) has led to a measurement revolution. This massive data if being mined and analyzed correctly can provide valuable alternative data sources for official statistics, especially price statistics. Several studies for using diverse Big Data as new sources of price statistics in Indonesia have been initiated. This article would provide a comprehensive review of experiences in exploiting various Big Data sources for price statistics, followed by the current development and the near future plans. The development of system and IT infrastructure is also discussed. Based on this experience, limitations, challenges, and advances for each approach would be presented.

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Introduction. This research aims to study a novel approach to producing tourism statistics, especially accommodation statistics, in Indonesia using scraping of online travel agent Websites. Method. Accommodation data (e.g., room availability and price) were gathered from two of the largest online travel agencies in Indonesia. All data were collected automatically from the sites’ URLs listed in the sitemap. Analysis. The data were collected daily from 6 March to 27 July 2019. Datasets from the two Websites were merged. The room occupation rate (ROR) for each province was calculated and compared with the official statistics from Statistics Indonesia. Results. The results show that the online room occupancy rates and official statistics have a similar pattern indicating the use of the Web scraping technique provides valuable information, to measure the room occupation rate with an advantage in terms of cost and collection time. Conclusions. It is feasible to use big data as a proxy of or a complement to official statistics, especially in tourism statistics. By using the Web scraping technique, the indicator that usually requires significant time and cost can be done in real-time and less cost. This new approach would improve the quality of tourism statistics produced by BPS Statistics Indonesia.