1 Classification Extension based on IoT-Big Data Analytic for Smart Environment Monitoring and Analytic in Real- time System Riyadh Arridha* Department of Information and Computer Engineering Politeknik Elektronika Negeri Surabaya Surabaya, Indonesia 60111 E-mail: riyadh@pasca.student.pens.ac.id *Corresponding author Sritrusta Sukaridhoto Department of Multimedia Creative Technology Politeknik Elektronika Negeri Surabaya Surabaya, Indonesia 60111 E-mail: dhoto@pens.ac.id Dadet Pramadihanto Department of Information and Computer Engineering Politeknik Elektronika Negeri Surabaya Surabaya, Indonesia 60111 E-mail: dadet@pens.ac.id Nobuo Funabiki Department of Electrical and Communication Engineering Okayama University Okayama, Japan 700-8530 E-mail: funabiki@okayama-u.ac.jp Abstract: Monitoring water conditions in real-time is a critical mission to preserve the water ecosystem in maritime and archipelagic countries, such as Indonesia that is relying on the wealth of water resources. To integrate the water monitoring system into the big data technology for real- time analysis, we have engaged in the ongoing project named SEMAR (Smart Environment Monitoring and Analytic in Real-time system), which provides the IoT-Big Data platform for water monitoring. However, SEMAR does not have an analytical system yet. This paper proposes the analytical system for water quality classification using Pollution Index method, which is an extension of SEMAR. Besides, the communication protocol is updated from REST to MQTT. Furthermore, the real-time user interface is implemented for visualisation. The evaluations confirmed that the data analytic function adopting the linear SVM and Decision Tree algorithms achieves more than 90% for the estimation accuracy with 0.019075 for the MSE. Keywords: SEMAR; water condition monitoring; real-time analysis; IoT; big data; classification; machine learning. Biographical notes: Riyadh Arridha received the Bachelor’s degree in information engineering from Universitas Islam Negeri Alauddin Makassar, Indonesia, in 2011. He joined at Politeknik Negeri Fakfak, Indonesia, as a lecturer in 2013. He is now studying for his Master’s degree in information and computer engineering at Politeknik Elektronika Negeri Surabaya, Indonesia. His research interests include big data, Internet of Things and embedded system. Sritrusta Sukaridhoto received the B.E. degree in electrical engineering, computer science program from Sepuluh Nopember Institute of Technology, Indonesia, in 2002 and the Ph.D. degree in Communication Networks Engineering from Okayama University, Japan, in 2013. He joined at Politeknik Elektronika Negeri Surabaya, Indonesia, as a lecturer in 2002, and He became an Assistant Professor in 2011, respectively. He stayed at Tohoku University, Japan, in 2004, as a visiting researcher. His research interests include computer networks, embedded system, multimedia and Internet of Things. He has received several academic awards, best paper awards