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Andi Bahtiar Semma
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INJECT Interdisciplinary Journal of Communication
ISSN : 25485857     EISSN : 25487124     DOI : https://doi.org/10.18326/inject
Focus and Scope INJECT journal focuses on the discussion of interdisciplinary communication, social-religious research that includes culture, Media Communication using quantitative or qualitative research methods. This journal is a media to accommodate the result of field research of students, lecturers, or practitioners. This journal encompasses original research articles, and short communications, including: Media Communication Political Communication Culture Communication New media and Communication Technologies Public Relations Cross-cultural Communication Organizational Communication Research Communication Social Communication Public Communication Dawah and Communication Religion Inject Journal, published twice a year (June and December) with deference topic. We receive communication articles from various countries that fit the focus and scope. The articles we received are the result of research and ideas and have not been published in other journals.
Articles 131 Documents
Understanding Multidimensional Patient Feedback as Healthcare Communication: An Interdisciplinary Computational Analysis Aris Ridky Setiya Bahari; Berlilana; Fandy Setyo Utomo
INJECT (Interdisciplinary Journal of Communication) Vol. 10 No. 2 (2025)
Publisher : FAKULTAS DAKWAH UIN SALATIGA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/inject.v10i2.6046

Abstract

Patient feedback represents an important form of healthcare communication through which patients articulate experiences, evaluations, and expectations toward healthcare services. In practice, this communication is often conveyed through unstructured, subjective, and multidimensional narratives, in which a single message may simultaneously address multiple service aspects. Such characteristics complicate the systematic interpretation of patient communication, particularly when sentimental expressions are unevenly distributed and dominated by positive evaluations. This study aims to examine patient feedback as a communicative practice in healthcare by analyzing multidimensional sentiment expressions from an interdisciplinary communication perspective. Computational methods are not positioned as the primary contribution of this study, but are employed as analytical tools to support the interpretation of large-scale patient communication data. An aspect-based sentiment analysis framework with a multilabel classification scheme is used to capture how sentiments are communicated toward predefined service aspects. The dataset consists of 1,131 anonymized patient feedback texts collected from JIH Purwokerto Hospital. To reduce interpretive bias caused by imbalanced sentiment distributions that may obscure less explicit communication expressions, label-based data balancing strategies are applied. Indonesian language modeling is used to accommodate the informal and context-dependent characteristics of patient narratives. The findings indicate that this approach enables a more structured reading of patient communication across service aspects, particularly in identifying explicit positive and negative sentiments. In contrast, neutral sentiment remains more difficult to identify due to its implicit and contextual nature, reflecting the complexity of patient communication strategies. Overall, this study demonstrates that computational analysis can function as a supportive instrument in healthcare communication research for systematically mapping multidimensional patient feedback, provided that the results are interpreted contextually rather than mechanically.