One way to find out the quality of exam questions is by looking at the rules for writing exam questions made based on the subject or discussion contained in the learning plan document. Therefore, the exam questions that are arranged must be adjusted to the main material in each subject learning achievement. This study discusses the implementation of the concept in information retrieval systems using the Vector Space Model method. The Vector Space Model method has an advantage in query matching because it is able to match only part of the query with existing documents. In addition, the Vector Space Model method is also easy to adapt by adjusting parameters, including weighting parameters. The weighting calculation for each term that appears in the document uses TF-IDF. The purpose of this study is to design an information retrieval system to find the suitability of the exam question query with the subject contained in the learning plan document. The suitability is sorted based on the similarity value of the calculation results, from the largest value to the smallest value in the form of a percentage.
The Ma'arif NU Ajibarang Education Organizing Foundation (YYPMNU) is a foundation engaged in education in the Ajibarang area. There are 4 types of UPT operating under the auspices of the foundation, including SMK Ma'arif NU 1 Ajibarang, SMK Ma'arif NU 2 Ajibarang, STIKES Ibnu Sina Ajibarang, and Modern Islamic Boarding School Ibnu Sina Ajibarang. The management of the foundation's personnel attendance has been carried out by utilizing information technology but it is still not effective and efficient because the presence using fingerprints causes long queues when they come to work, so it is necessary to develop an employee attendance system that can be accessed online by all employees without having to queue. The employee attendance system has been successfully developed based on Responsive Web Apps (RWA) which features presence location coverage between employees and UPT locations using geolocation data available on employee smartphones. The results of the performance evaluation of the employee attendance system using google lighthouse resulted in an average performance of 41.5.
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