Abstract
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.
Highlights
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
the exam questions that are arranged must be adjusted to the main material in each subject learning achievement
Summary
Pendidikan di setiap jenjang diselenggarakan berdasarkan kurikulum yang ditetapkan dalam standar isi pendidikan nasional. Dosen menunjukkan bahwa sistem temu kembali informasi diharuskan untuk menyusun dokumen RPS sebelum menggunakan metode Vector Space Retrieval Model memulai proses pembelajaran untuk setiap mata kuliah dapat memberikan solusi pada mesin pencarian berupa yang diampunya. Metode Vector kemampuan dan hasil belajar mahasiswa sesuai dengan Space Model dapat dihasilkan tingkat kemiripan antar capaian pembelajaran mata kuliah. Kemampuan Vector Space Model, dimana beberapa penelitian dosen dalam mengembangkan soal ujian dapat sebelumnya telah berhasil menerapkan metode tersebut mempengaruhi kualitas belajar mahasiswa. Text mining adalah proses menggali adalah nilai kemiripan antara materi pokok pada informasi dimana user berinteraksi dengan beberapa dokumen RPS yang telah diurutkan dari yang paling dokumen menggunakan suatu tools analysis, yang tinggi nilainya berdasarkan query butir soal ujian yang merupakan komponen-komponen dalam penambangan dimasukkan. Salah satu penelitian tentang text mining ini ditunjukkan pada Gambar 1
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