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The purpose of this study was to evaluate whether the recognition and measurement principles for the financing transaction with the results in the concept of Sharia banking accounting is applied in Semarang Branch of Muamalat Indonesia Bank has been in accordance with PSAK No. 59 or not. Qualitative analysis methods used in this study carried out by analyzing the recognition and measurement results in a financing transaction for theaccounting concept of Sharia in Semarang Branch of Muamalat Indonesia Tbk and perform the implementation of comparative evaluation in practice with financial reporting standards in this regard to PSAK no.59 about sharia banking accounting. Treatment for the execution of financing transactions between existing implementations on Muamalat Indonesia Tbk in Semarang Branch with PSAK number 59 of shariah banking accounting was appropriate

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 paper discusses the performance of software, the measurement of software engineering are evaluated by comparative evaluation and analytic evaluation. In this case, the author introduces about quantitative data analysis for measurement of performances software. The tool of measurement of this statistic software e.g. SPSS