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All Journal JSI: Jurnal Sistem Informasi (E-Journal)
Ardani, Vanya Terra
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Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Other

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Representasi Pengetahuan Ontologi untuk Klasifikasi Topik Penelitian pada Bidang Ilmu Informatika Rodiah, Desty; Miraswan, Kanda Januar; Kurniati, Junia; Irawan, Dellin; Ardani, Vanya Terra
JSI: Jurnal Sistem Informasi (E-Journal) Vol 17 No 1 (2025): Vol 17, No 1 (2025)
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/jsi.v17i1.244

Abstract

Research in informatics often involves multiple subdisciplines, making topic classification challenging. Typically, text classification in natural language processing requires training and testing. However, ontology-based classification eliminates the need for training data. Challenges in ontology-based classification include finding terms that lack similarity with ontology and ensuring accuracy in measuring data similarity with knowledge representation. To address this, the fastText method identifies term similarities between words and ontology, while the Wu-Palmer method measures semantic similarity and relationships within ontology. The research process includes preprocessing (Casefolding, Tokenizing, Stopword Removal, Lemmatization), Query Processing (Query Reduction, Duplicate Removal), Word Embedding with fastText, and Semantic Similarity measurement using Wu-Palmer. The dataset consists of 200 research studies from Fasilkom Unsri informatics students' final projects. The classification results show that 178 out of 200 topics were correctly classified, achieving an accuracy of 89.5%, demonstrating the system’s effectiveness.
Co-Authors Desty Rodiah Irawan, Dellin Junia Kurniati, Junia Kanda Januar Miraswan