Seminar Nasional Sistem Informasi (SENASIF) Fakultas Teknologi Informasi Universitas Merdeka Malang
ANALISIS KESENJANGAN ANTARA TOPIK SKRIPSI MAHASISWA DAN TOPIK RISET DI PUBLIKASI ILMIAH
Senasif
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Keywords

association rule, data mining, thesis topics, scientific publication topics.

How to Cite

Sufyan, F., Akhriza, T., & Sophia, E. (2017). ANALISIS KESENJANGAN ANTARA TOPIK SKRIPSI MAHASISWA DAN TOPIK RISET DI PUBLIKASI ILMIAH. Seminar Nasional Sistem Informasi (SENASIF), 1(1), 490 - 498. Retrieved from https://jurnalfti.unmer.ac.id/index.php/senasif/article/view/23

Abstract

The level of student absorption on technological developments can be observed through their choice on their thesis topics. The problems commonly faced by universities are how to effectively and efficiently measure the gap between students' thesis topics and the latest technological development. This research proposes a method to measure the gap by comparing the students’ research topics with the scientific publication topics both nationally and internationally. The method used is association rule mining, where the most frequent words (frequent termset) in abstracts of the thesis and abstracts of scientific publications are exploited. From the frequent termset collected, the relationship between one word and the others is found, to then, the difference between the topics discussed in the thesis with those raised by the scientific publications is analyzed and summarized. The result of the analysis will show the topics usually found in thesis but rarely found in published researches and vice versa.

PDF (Bahasa Indonesia)

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