The exoplanet research program was initiated in Bosscha Observatory since 2006 using the transit method. However, it was only since 2015 that the research program has been carried out more systematically and automatically. With the operation of the new telescope in 2014 and the implementation of the observation automation system, we have begun a new journey of exoplanets detection research. After spending the first few years learning, we can then concentrate on developing data servers and computing . The research now carries out transit photometry observation to produce a database of light curve set that will be identified of exoplanets. The MCMC fitting method is used to look for physical parameters afterwards. Other exoplanet detection research is conducted using surveys on stellar clusters. With the same observational data, we learn to apply machine learning to classified variable stars.