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Iwan Santosa
Universitas Kristen Maranatha
Computer Science & IT

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Basis Pengetahuan Web Semantik pada Pemodelan Sistem Pendukung Rekomendasi Jurusan Kuliah Iwan Santosa; Panji Yudasetya Wiwaha; Bernard Renaldy Suteja
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6106

Abstract

Prospective students have wider choice of opportunities as opposed to many choices of study majors offered by higher education institution. On the other hand, it can also cause difficulties for students to make the right choice. How a student make decision regarding his or her choice of study major is influenced by several factors, including student interest, majors chosen at the previous school level, students’ aspirations, as well as entry requirements at a particular university. This research aims to design a model of an information system that can make it easier for a student to obtain information about the most appropriate study program, among the many study programs offered by the university. The information generated by this system can be used as a reference to support recommendations for prospective students in deciding which study program they will choose appropriately. The system is designed by utilizing semantic web technology, by building an ontology based on several knowledge-bases to represent new knowledge. The ontology model designed in OWL format succeeded in connecting several knowledge-bases into comprehensive and contextual knowledge as a source of information that can be used by a prospective student to choose a study program based on these recommendations. Protege is used for ontology modeling, while implementation on the web server is done using Apache Jena platform.
Pemonitoran Paparan Merek Terfokus Menggunakan Pemodelan Topik dan Formulasi Kueri Iwan Santosa; Bernard Renaldy Suteja; Setia Budi
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 1 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i1.8395

Abstract

Brand exposure monitoring is a specialized form of media monitoring that aims to monitor brand exposure and brand mentions in publicity media. This research proposes a framework model for monitoring brand exposure through analysis of publicity media utilizing query formulation and topic modeling, aimed at extracting important topics contained in external media or mass media, and comparing them with the institution's internal media. Topic extraction is performed using Latent Dirichlet Allocation (LDA) method on text data in the form of SERP (Search Engine Results Page) snippets. Subsequent processing utilizes Jaccard index and cosine similarity calculations. The output of the framework includes visualizations of topics representing themes of articles exposing the institution's brand, and measurement metrics that are useful for decision-making analysis related to media management and institutional communication. Testing the proposed framework using data samples resulted in expected output, namely the topic groups formed can represent dominant topics in both media categories in a given monitoring period, with the highest coverage rate reaching 82.69% and similarity of 33.97%. The use of LDA method in this study does have its limitations, specifically the formation of topic groups that do not purely contain a singular topic, but rather consist of several subtopics. However, this does not diminish the usefulness of the framework.
Co-Authors Bernard Renaldy Suteja Panji Yudasetya Wiwaha Setia Budi