The porpuse of this research is to know the impact of tax penalties and the quality of service on taxpayer’s obedience. The data that used in this research is primary data that obtained through the distribution of questionnaires to sample that represent the criteria of the population. The population of this research is taxpayer of KPP Pratama Cikarang Selatan. As for the sample of this reaserch is 100 respondents, that determined by the slovin formula. The methods of this research for validity data is used validity test and reability test. To perevent any bias of use regretion models on research, then used a classical assumption test. The analysis technique that used is multiple regression analysis. For hypothetical test in this research used the t-test that is a partial test and F-test that is a simultaneous test. The result of this research is 1. The tax penalties have a positive and significant impact on taxpayer’s obedience 2. The quality of servis have a positive and significant impact in taxpayer’s obedience. 3. The tax penalties and the quality of service have impact in taxpayer’s obedience.

The development of the times resulted in the development of technology to date. With the existence of technology, many people have used technology to help their daily activities. In this study, the author will discuss the technology that is often used by students to help them with their assignments, namely laptops. Laptop is a technology that has been widely used by students, teachers and the public. Having a laptop can make things easier. Until now, each laptop brand continues to develop their laptop production laptops with good specifications. Until now, almost all laptop brands have made gaming laptops that are actually intended for people-people who play games. But with good specifications, gaming laptops can also be used for daily activities. With an attractive design and good specifications, of course you can attract student and public interest in gaming laptops. Therefore the authors made a study of student interest in gaming laptops. With good design and specifications on gaming laptops, the author aims to classify the number of students who are interested and not interested in gaming laptops. The classification will be carried out using the Naïve Bayes method with the number of sample data used as many as 100 student data in data mining. The classification results obtained were 55 students (55% representation) interested in gaming laptops and 45 students (45% representation) had no interest in gaming laptops. The results show that not all students are interested in gaming laptops, even though they have laptops design and great specs.

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