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This research made for applying adaptive tutoring system for programming languages learning.Adaptive tutoring system that developed have ability to present learning material, providing quiz problem,test problem and pretest. System has ability to present learning material accords ably student materialmastery. Material representation bases prerequisite material probability that accounted by bayes'stheorem, meanwhile student material mastery is accounted bases time that is utilized to study material,assess quiz that is reached and student test point. Developed system gets web basis to be able to beaccessed by a lot of student on one time and learning get at call been done. In this research is concludedthat adaptive tutoring system can help student does navigation learning material, recommending learningaim and presents learning material thread.

Academic data increases every year in line with the increase of students. Abundant data store is alsoan abundance of information. Data mining technology is a tool for extracting information on largedatabases and has been widely used in many domains. Predicting student performance (study evaluation) isan activity to determine a future state based on existing data. Data in the field of academic research hasbeen done with various methods and algorithms, but the use of algorithm SLIQ (Supervised Learning InQuest) has not been done.SLIQ is an algorithm developed by the IBM's Quest project team in 1996 for mining large datasets.SLIQ algorithm classify and predict the students performance, beginning with the data cleaning, conductedelection training and testing data. By calculating gini index of each attribute and then selecting thesmallest gini index data table is split according to the criteria until find the same class. From the results ofthe calculation process can produce a set of rules that can be used to predict student performance.From the experiment it can be concluded that the algorithm SLIQ with decision tree technique canbe used as an alternative in designing a system datamining applications. Tests conducted system showedthat the constructed model can be used to predict the performance of new students. The resulting accuracyof the model system in fact has a lower score than the accuracy of other applications that are used as acomparison of Tanagra. Advantages of the proposed system is in its design does not need complexcalculations in obtaining the gini index attributes.

This study analyzes the effect of receive, tariffs and quality perceptions of the learning process and service to increase interest. The formulation of the questions examined in this study were 1). What impact will influence the perception of market acceptance for graduates of interest in selecting majors AN? 2). What impact do perceptions influence the rates of interest specified AN AN chose? and 3). What impact will influence the perception of the quality of the learning process and service in the AN of interests to choose majors AN? Furthermore, variables and indicators of research is also based on previous research.A model has been developed and three hypotheses have been formulated to address this research problem. The sampling technique was purposive sampling and quota sampling. Respondents from this study amounted to 100 respondents, where respondents were students of the Department AN Semarang State Polytechnic. Data analysis tool used is Structural Equation Modelling (SEM) in AMOS 16.0.The results of this study data analysis shows the model and research results were well received, and further research is proving the influence of perception on the market acceptance of graduates AN interest in the Department of the AN is positive an  significant. Effect of tariff AN Perception of interest in the Department of the AN is not significant. Then the influence of the effectiveness of advertising on consumer buying behavior is positive and significant. And the influence of the learning process and service quality in the AN of interest in the Department is positive and significant.

This article is based on the research that has just been conducted by the writer. It is proposed to  find out the correlation between students' motivation and English proficiency, further more this article will describe store about the students' motivation. Applying the Karl Pearson's product moment theory, the writer could find the positive correlation. The respondents of this research is the SI degree students of the Information Technology Faculty.