Temu Kembali Informasi pada Soal Ujian dengan Rencana Pembelajaran Menggunakan Vector Space Model

  • Amalia Beladinna Arifa Institut Teknologi Telkom Purwokerto
  • Gita Fadila Fitriana Institut Teknologi Telkom Purwokerto
  • Ananda Rifkiy Hasan Institut Teknologi Telkom Purwokerto
Keywords: information retrieval, search engine, exam questions, learning plan document, vector space model.

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.

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Published
2021-02-20
How to Cite
Arifa, A. B., Gita Fadila Fitriana, & Ananda Rifkiy Hasan. (2021). Temu Kembali Informasi pada Soal Ujian dengan Rencana Pembelajaran Menggunakan Vector Space Model. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 5(1), 63 - 68. https://doi.org/10.29207/resti.v5i1.2739
Section
Artikel Rekayasa Sistem Informasi