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All Journal JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Agiharta, Kafka Febianto
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Computer Science & IT

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Pemanfaatan SPARQL Dalam Pencarian Data Alih Kredit Merdeka Belajar Kampus Merdeka Agiharta, Kafka Febianto; Suteja, Bernard Renaldy
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 3 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i3.6742

Abstract

The Merdeka Belajar Kampus Merdeka (MBKM) program provides facilities for students to transfer credits from work activities to specific courses. To support this process, this research utilizes Semantic Web technology by integrating an ontology built using the Protégé tool. Through the use of SPARQL query language, Semantic Web technology enables efficient and accurate searching between activity descriptions and courses based on the context and semantic meaning of the data. The research results show that this research can retrieve the required information efficiently and accurately from the ontology that has been developed.  
Penerapan Sentence BERT Untuk Similaritas Kompetensi Pekerjaan dan Mata Kuliah Agiharta, Kafka Febianto; Suteja, Bernard Renaldy; Ayub, Mewati
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 3 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i3.9411

Abstract

This research focuses on the application of the Sentence BERT (S-BERT) model, a specialization of the BERT model and an adaptation of the Transformer architecture specifically designed for the Indonesian language, in exploring the concept of course credit transfer consolidation in accordance with the Merdeka Belajar – Kampus Merdeka program. The aim of this exploration is to develop an Indonesian-language S-BERT model and apply it to search and analyze the similarity between activity sequence descriptions and course syllabus (RPS) descriptions. The results of this similarity analysis are the identification of relevant courses based on the given query. The developed model has shown effective capabilities in searching and determining the similarity between activity sequence descriptions and course syllabus descriptions. Courses identified as relevant to the query demonstrate high similarity and compatibility, indicating that the S-BERT model can be relied upon in the process of course credit transfer consolidation within the context of Merdeka Belajar – Kampus Merdeka.
Co-Authors Bernard Renaldy Suteja Mewati Ayub