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All Journal KOMPUTA : Jurnal Ilmiah Komputer dan Informatika
Syaifullah, Rindra
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Computer Science & IT

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Implementasi BERT dan SNA dalam Sistem Tanya Jawab untuk Survei Demam Berdarah Dengue Nadifah, Rofiatun; Syaifullah, Rindra; Almaasah Zatri, Nasywaa; Putri Permata, Regita
Komputa : Jurnal Ilmiah Komputer dan Informatika Vol 14 No 2 (2025): Komputa : Jurnal Ilmiah Komputer dan Informatika
Publisher : Program Studi Teknik Informatika - Universitas Komputer Indonesia (UNIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputa.v14i2.16488

Abstract

As a global public health challenge, Dengue Hemorrhagic Fever (DHF) necessitates an analysis of public understanding and perception. For controlling the spread of DHF, survey data is instrumental in uncovering these perceptions. This study was conducted to perform an in-depth analysis of the public's understanding of DHF by analyzing textual responses from surveys. The analyzed data consists of answers from 33 respondents to five key questions concerning the definition, symptoms, causes, transmission, and prevention of DHF. The methods used were semantic similarity analysis with a pre-trained BERT model, cosine similarity calculation, and Social Network Analysis (SNA) to identify key respondents as opinion leaders and to map the patterns of understanding dissemination. In this model, a highly consistent level of understanding was obtained, with an F1-Score for the "Very Similar" category reaching 0.94 and a highest cosine similarity value of 0.995.
Co-Authors Almaasah Zatri, Nasywaa Nadifah, Rofiatun Regita Putri Permata