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

We are dealing with a matrix of the size 136 (formerly 79) known as financial social accounting matrix (FSAM). Inside a financial SAM is a square matrix of 107 rows times 107 columns sub set known as SAM. We are augmenting a command line based software for more functionality. The addition from us includes: data base for the output, bar chart output, table generation, graphical presentation of path. Users want more versatile input not just single proprietaty plain text format. We take over preparing tedious input such as : moving exogenous rows to bottom side of matrix, error prone command line typing, filling blanks with zeroes, serial numbering of rows, separation of numbers and names. This is presented graphically with a model called use case.

Smart analytic nowadays was very popular because today big data is booming. Back several years ago, people were fascinating with statictics which surveys or cencus become a gun for describing or forecasting some issues as of decision making or planning. By migrating to big data, smart analytic is very needed to filter which data is useful and producing some worthy information.