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All Journal Jurnal Penelitian Inovatif Journal of Statistics and Data Science LingoLitera: Journal of Linguistics, Literature, and Culture
Salsabilla, Intan
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Mathematics Public Health Social Sciences Other

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Sentiment Analysis of Twitter User’s Perceptions of the Campus Merdeka Using Naïve Bayes Classifier and Support Vector Machine Methods Salsabilla, Intan; Alwansyah, Muhammad Arib; Nugroho, Sigit; Agwil, Winalia
Journal of Statistics and Data Science Vol. 2 No. 2 (2023)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v2i2.30577

Abstract

The Campus Merdeka program is being implemented by the government to realize autonomous and flexible learning in tertiary institutions to create a learning culture that is innovative, not restrictive, and the needs of students. The Campus Merdeka provides added value and is attractive and provides various responses from the public both directly and on different social media platforms. One of the social media platforms is Twitter. Therefore, research was conducted on the community's response to the Campus Merdeka program on Twitter social media. Twitter documents in the form of community response tweets to the Campus Merdeka program are classified into two categories, namely positive responses and negative responses. The method used in this study is the Naïve Bayes Classifier (NBC) and Support Vector Machine (SVM) with a Polynomial Degree 2 kernel. The highest level of accuracy resulting from this research is 73.5% with a parameter value of  of 0.5, a constant value  is 0.5, with training data of 309 documents for training data and 132 documents for test data. The accuracy results obtained for the Naïve Bayes Classifier method are 65.9% and for the Support Vector Machine method, an accuracy is 73.5%.
Analisis Literatur tentang Pengaruh Kepemimpinan Transformasional terhadap Mutu Pelayanan Keperawatan Nurjanah, Siti; Salsabilla, Intan; Ramadhan, Syahrul; Bella, Tiara Rizkika; Ananda, Zihan; Ridwan, Heri
Jurnal Penelitian Inovatif Vol 5 No 2 (2025): JUPIN Mei 2025
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jupin.1448

Abstract

Kepemimpinan dalam keperawatan memainkan peran penting dalam menentukan kualitas pelayanan kesehatan. Gaya kepemimpinan transformasional dianggap sebagai pendekatan yang efektif dalam memotivasi perawat, menciptakan lingkungan kerja yang positif, serta meningkatkan kepuasan dan kinerja tenaga keperawatan. Studi ini bertujuan untuk meninjau literatur terkait pengaruh kepemimpinan transformasional terhadap kualitas pelayanan keperawatan. Metode yang digunakan adalah tinjauan literatur dengan pendekatan pencarian sistematis di database PubMed dan Google Scholar, menggunakan kata kunci “transformational leadership” dan “nursing care quality.” Hasil tinjauan terhadap enam artikel yang memenuhi kriteria inklusi menunjukkan bahwa kepemimpinan transformasional berkorelasi positif dengan aspek-aspek penting seperti kepuasan kerja, motivasi, kolaborasi tim, dan hasil pasien. Studi ini memberikan kontribusi terhadap pengembangan ilmu keperawatan dengan menegaskan pentingnya kepemimpinan transformasional dalam menciptakan layanan kesehatan yang berkualitas dan berkelanjutan. Hasil tinjauan ini memberikan wawasan komprehensif tentang pentingnya pengembangan gaya kepemimpinan transformasional dalam praktik keperawatan sebagai strategi untuk meningkatkan mutu layanan kesehatan yang berkelanjutan.
Expressive Speech Acts of Taylor Swift in The Ellen Show Salsabilla, Intan; Suraiya, Lucy
LingoLitera Vol. 2 No. 2 (2026): In Progress
Publisher : Program Studi Sastra Inggris

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/lingolitera.v2.i2.2026.91-98

Abstract

This study analyzed Taylor Swift's expressive speech acts in The Ellen Show. This study aims to identify the categories of expressive speech and the adjectives manifested in the expressive speech acts to convey her emotions or feelings. The data were taken from three interview videos and analyzed using Ronan’s (2015) categories of expressive speech acts and Sinclair et al. (2017) for the types and functions of adjectives. This study employs a qualitative descriptive method. From a total of 62 data, seven categories of expressive speech were identified in Taylor Swift conversations with Ellen. They are agreement, disagreement, volition, thanking, non-directed complaints in exclamations, expressing sorrow, and greetings. The most frequently used category is agreement, with a percentage 29,04%. This reflects Taylor's humble, polite, and respectful personality. While qualitative adjectives are the most dominant type of adjectives used with a percentage of 65,71%. This shows that Taylor often conveys her personal feelings and experiences in new music promotion, her past viral moments, and personal revelations emotionally and deeply.
Co-Authors Agwil, Winalia Alwansyah, Muhammad Arib Ananda, Zihan Bella, Tiara Rizkika Ridwan, Heri Sigit Nugroho Siti Nurjanah Suraiya, Lucy Syahrul R, Syahrul