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This research was conducted at the SDN Pengaradan 03 Kecamatan Tanjung, Kabupaten Brebes. The purpose of this study is 1) To determine the learning achievement of students. 2) To determine the factors that influence student learning achievement. 3) To find out efforts to minimize online game play on learning achievement. This study uses a qualitative approach, while the data collection uses the interview method, observation method and documentation method. The results of this study are 1) Learning achievement in Pengaradan 03 Kecamatan Tanjung, Kabupaten Brebes elementary school is quite good, where the velue is taken based on the attitude of the students themselves, daily by the teacher, mid – semester exam score and end of semester scores ehere the score is used as reference in knowing achievement learn students. 2) Factors that affect student learning achievement come from the family environment. Where family is the main and most important factor in shaping the character of students and a supportive social environment will affect the growth and development of students well by directing positive things that will affect the achievement og learning achievement in school. 3) Efforts that must be made in minimizing online game play are to to provide direction and understanding of the impact that is caused in online games that are done excessively, making the game on of the alternative rewards for student who get good ahievements so that they can motivate students to keep learning.

This study aims to improve the activeness and learning achievement of students by applying simulation methods in Strategy and Planning of Studying courses. This research is a class action research. The research setting was regular semester VI students, totaling 50 students who took Strategy and Planning of Studying courses. The research design involves the lecturer as the main researcher and at the same time the perpetrators of the action, the observer lecturer and students as the subject of the students. The way the research is carried out through: 1. planning, 2. implementation of class actions, 3. monitoring and evaluation, 4. analysis and reflection, 5. summarizing results. Data collection uses observation, interviews, documentation and questionnaires: Test the validity of the data using triangulation of          methods and sources.Research this action by applying simulation methods in Strategy and Planning of Studying courses. The results of this action research are 1) The application of simulation learning methods can increase student activities. An increase in learning activities from cycle I to cycle II, and from cycle II to cycle III. 2) Application of simulation learning  methods can optimize student learning achievement. Student learning achievement has increased from learning achievement cycle I to cycle II, and from cycle II to cycle III.  

This research is motivated by the performance achievements of the employees of the Tanjung Emas Middle Type Customs and Excise Office of Supervision and Service Office which have not been achieved. The purpose of this study was to analyze the influence of Motivation (X1) and Competence (X2) on Employee Performance (Y) in the Customs and Excise Supervision and Service Office of the Middle Type of Customs Tanjung Emas. Descriptive analysis in this study uses the index number method. Determining the number of samples was calculated based on the slovin formula and obtained a sample of 71 employees from a total population of 248 employees. The sampling method uses simple random sampling technique. The results of the analysis show that motivation has no significant positive effect on employee performance. This is indicated by the calculated t value which is smaller than t table, namely 0.481 <1.667 (df = 68), with a significance value of 0.632 which is greater than α = 0.05. Motivation (β1) is positive at 0.042 which means that there is no effect of motivation on performance (not significant). The results of the analysis show that competence has a significant positive effect on employee performance. This is indicated by the calculated t value that is greater than t table, namely 8.028 > 1.667 (df = 68), with a significance value of 0.000 which is smaller than α = 0.05. Competence (β2) has a positive sign of 0.705 which means that the higher the competency, the higher the employee's performance (significant).