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Alumni’s success in getting jobs that are suitable with their competence and with appropriateincome soon after graduation is an indicator of success of a study program. Therefore, it isnecessary to develop a system that can help track the alumni data easily. The development of theinformation system of web-based alumni data tracking can be an alternative solution taking intoconsideration that the alumni can report the development of their career wherever and wheneverthey would like to. However, for the purpose of the completeness of the alumni data, it isnecessary to develop a variety of attributes to track alumni data more completely

There has been a significant increase in the number of cyberattacks. This is not only happening in Indonesia, but also in many countries.  Thus, the issue of cyber attacks should receive attention and be interesting to study.  Regarding the explored security vulnerabilities, the Open Web Application Security Project has published the Top-10 website vulnerabilities. SQL Injection is still become one of the website vulnerabiliteis which is often exploited by attacker. This research has implemented and tested five algorithms. They are Naïve Bayes, Logistic Regression, Gradient Boosting, K-Nearest Neighbor, and Support Vector Machine. In addition, this study also uses natural language processing to increase the level of detection accuracy, as a part of text processing. Therefore, the main dataset was converted to corpus to make it easier to be analyzed. This process was carried out on feature enginering stage. This study used two datasets of SQL Injection. The first dataset was used to train the classifier, and the second dataset was used to test the performance of classifier. Based on the tests that have been carried out, the Support Vector Machine get the highest level of accuracy detection. The accuracy of detection is 0.9977 with 0,00100 micro seconds per query time of process. In performance testing, Support Vector Machine classifier can detect 99,37% of second dataset. Not only Support Vector Machine, the study have also revealed the detection accuracy level of further tested algorithms: K-Nearest Neighbor (0,9970), Logistic Refression (0,9960), Gradient Boosting (0,99477), and Naïve Bayes (0,9754).

Staf of sales are the main supporters of a company engaged in distribution. One way company leaders to motivate sales salespeople who have the high ability and morale to do their jobs in the form of annual bonuses to sales staff that are in accordance with the work performance produced. Bonuses can be a driver for companies to show better performance. CV Anugerah Jaya Sentosa Lampung still looks inaccurate because it was not used criteria that should be determinant of decision making. For this reason, researchers agree on a support system that is able to be able to solve the agreed problem. The design of this decision support system was made using the PHP and Java Netbeans programming languages, and the method used was the TOPSIS method. TOPSIS will help the calculation in decision making of alternatives based on distance to positive solutions and distance to negative solutions by taking relative proximity to ideal  solution. Using the TOPSIS method can provide companies in determining who are the recipients of annual prizes to sales staff. Keywords: Decision Support System, TOPSIS, Rewards

The financial services system is one that is important in the provision of education in college or also in school. Although education managers' understanding and awareness of the importance of an IT-based financial services system is increasing, there are still many educational institutions that do not yet have the capability to develop and implement IT-based financial services systems due to limited resources and funds. The development of cloud computing-based systems is a new paradigm in the IT world in delivering IT services that enable schools to implement IT-based service systems without having to invest in too large IT equipment. This study discusses the design of system architecture and the development of prototype software supporting school financial services. The results of this study are computer software that can be used to improve school financial services so as to help schools with limited resources and funds in the effort of developing the systemKeywords: Financial Service; Cloud Computing; IT Services.