Understanding of data mining in computer science learning from PILKADA DKI Jakarta 2017

DKI Jakarta gubernatorial election 2017 was phenomenal event which draws attention worldwide, where one of the defeated candidate Ahok or recognized as Basuki Tjahaja Purnama was charged with blasphemy, has double minority background in Indonesia as descendants of China and Christian and he was titled “Man of the Year” 2015 by Globe Asia magazine. However, in this paper we do not interested with political conversation, how one candidate couples can win or how one candidate couples could lose. We are interested to learn based on our science knowledge in Computer Science perspective particularly with the term of Data Mining with this 5 years DKI Jakarta event program. Hopefully, by reading this paper the students of Computer Science can understand their Computer Science knowledge in their surrounding life events. Obviously, voters' decisions are influenced by human nature characteristic which like to similarity preferences, where human like to choose someone who have full or frequent similarity in profile and/or program. Beforehand, voters should do learning by doing the characterization of their and candidate couples' profile and program. Afterwards, based on candidate couples' profile and program, the voters will do discrimination between candidate couples, classification, clustering or association among candidate couples. Admittedly, the voters will fill their ballot based on their preference similarity.