English standardization is needed by a college to ensure the quality of knowledge and skills of their students before they join the international learning and research culture there. As a campus that has an international vision, Institut Teknologi PLN (ITPLN) created two English tests in for the students which are implemented at the beginning and at the end of their study time. The standardization test is meant to know the English knowledge of the students and map their weakness in English so that the lecturers can organize a more precise English learning system. The research based on the English standardization test, which was already done in two different forms, the offline paper-based and the multimodalonline-based. The article is aimed to present the comparison between those forms, the arrangement of the online test, the methods to overcome the proctoring problems, and the results. The result shows that the online test decreases the usage of time, human and other resources by 70% and with a multimodal system, increase the questions variations and types by 50%, thus they increase the effectivity of the test by 75%.
The Language Development Center (LDC) is a language laboratory that annually serves more than 1000 participants in activities such as standardized tests and language courses for students and lecturers. This activity generates a lot of data which is still managed ineffectively and causes several problems in data retrieval, archiving, and monitoring. Therefore, this research was made with the aim of creating a system so that data management in LDC becomes more effective. In designing and building this system, the writers uses the Waterfall method and also implements the Boyer Moore algorithm in the data search process. Boyer moore algorithm helps the data search process more effectively and can search for words in several text-based files at once. The result of this research is a web-based data management information system that makes the data management process becomes more effective and efficient. Keywords: information system, data management, data retrieval, Boyer Moore algorithm
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