Smart city can be accomplished by merging all components to be smart system. One of significant components is transportation. Everybody moves, everybody need to reach other place safely, efficiency, and comfortably. In order to get smart, we have to analyze the best way to improve capability. One of the best ways is to make predictive model that one may conceive strategies attracting passengers. Using Bayesian dan SVM as comparison will produce best fit model for Trans Metro Bandung passenger data. Better strategy is an emergence needed to produce Trans Metro Bandung better performance because the model predicted there will be no significant growth for Trans Metro Bandung passenger

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The Internet of Things is a technology that will become an integral part of human life. At present, its use has begun to be widely applied in various scientific fields such as agriculture, health, industry, etc. so that it has a very good impact. In addition, the development of this device has also reached a point where collaboration with various scientific fields has occurred. However, in addition to the benefits offered by the Internet of Things, there are challenges such as the use of energy in data transfer, memory limitations and so on as well as threats that can arise such as loss of privacy, leakage of data and information, or use to commit crimes in the physical world.