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Sentiment Analysis of the 2022 Fuel Price Hike Using the Naïve Bayes Classifier Alia Lestari; Muhammad Hajarul Aswad; Subekti Masri
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i1.36473

Abstract

This study examines public opinion towards Indonesia’s 2022 fuel price hike using social media analytics and assesses the pace of a supervised machine learning classifier for policy-oriented sentiment analysis. The research aimed to answer the following two questions (1) What was the prevailing public sentiment articulated on Twitter after fuel pricing announcement? and (2) How well is a Naïve Bayes classifier able to classify sentiment polarity in this domain? We employed a quantitative cross-sectional design utilizing Twitter data obtained from 3–4 September 2022 via the hashtags #hargabbm and #bbmnaik. Ultimately, after preprocessing, there were 1,867 unique tweets out of the 2,003 retrieved ones. Training data consisted of a total of 489 manually labeled tweets, and 1,378 for testing. Tokenization and TF–IDF weighting were performed on text data, while the sentiment classification was done using Gaussian Naïve Bayes model and evaluated through confusion matrix metrics. The results suggest that public sentiment was overwhelmingly negative during the analysis period and that the classifier reached an accuracy of 94.89% with a precision of 73.40%, recall of 100%, and F1-score of 84.66. These findings show that probabilistic text classification offers newsworthy evidence about whether the public unanimously supports economically sensitive policies (or not), with voltage and salience meaningfully specified.
Monkey D. Luffy’s Leadership Character in the One Piece Anime: Semiotics Charles Sanders Peirce Khalizah Rezky; Andi Batara Indra; Fajrul Ilmy Darussalam; Subekti Masri; Norazimah Zakaria
Gurindam: Jurnal Bahasa dan Sastra Vol. 6 No. 1 (2026): JUNE
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/gurindam.v6i1.39527

Abstract

This study aims to analyze the leadership characteristics of Monkey D. Luffy in the anime One Piece based on Bernard M. Bass’s theory of transformational leadership. The method employed is library research using a semiotic analysis approach proposed by Charles Sanders Peirce, which consists of representamen, object, and interpretant. The data consist of selected episodes from the Arc Wano, specifically Episodes 983 and 1071. The results indicate that Luffy demonstrates transformational leadership through idealized influence and inspirational motivation. These findings affirm the relevance of leadership values in popular culture as a medium for character education among younger generations. Furthermore, Luffy’s transformational leadership can serve as an example of leadership concepts applicable to real-life contexts.
Representation of Psychological Experiences of Children from Broken Homes in Indonesian Song Lyrics: A Freudian Psychoanalytic Analysis Nur Fauziah; Subekti Masri; Andi Batara Indra
Social Sciences and Humanities Reviews Vol. 2 No. 2 (2026): Social Sciences and Humanities Reviews
Publisher : CV. DYOQU PUBLISHING MANAGEMENT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64780/sshr.v2i2.255

Abstract

Background:Broken homes can impact a child's emotional and psychological development, leading to experiences such as sadness, anxiety, trauma, and difficulty managing emotions. These experiences emerge not only in social life but are also represented through popular culture, including song lyrics. Therefore, song lyrics can be used as a resource to understand how the psychological experiences of children from broken homes are constructed and expressed. Aims:This study aims to identify the forms of psychological disorders of children from broken homes represented in Indonesian song lyrics and analyze these representations using Sigmund Freud's psychoanalytic theory, particularly the structures of the id, ego, and superego. Methods:The study employed a qualitative approach with a library research design and content analysis methods. The primary data consisted of three song lyrics: "Diary Depresiku" and "Sekuat Hatimu" by Last Child, and "Beautiful Tak Sempurna" by Stand Here Alone. The data were analyzed through the process of identifying, classifying, interpreting forms of psychological disorders, and mapping their representations based on the concepts of id, ego, and superego in Sigmund Freud's psychoanalytic theory. Result:The research results identified four forms of psychological disorders represented in the three songs: trauma, depression, anxiety, and emotional disturbance. Diary Depresiku represents trauma and depression; Indah Tak Sempurna represents depression, anxiety, and emotional disturbance; while Sekuat Hatimu represents depression, anxiety, and emotional disturbance. Depression is a category found in all songs. Based on psychoanalytic analysis, Diary Depresiku shows elements of id and ego, while Indah Tak Sempurna and Sekuat Hatimu show elements of ego and superego. Ego is the only personality structure found consistently in all three songs. Conclusion:Indonesian song lyrics about broken homes represent complex psychological experiences, particularly depression, anxiety, emotional disturbances, and trauma, which can be more deeply understood through the dynamics of the id, ego, and superego. These findings suggest that song lyrics can serve as a source of analysis for understanding the psychological experiences of children with broken homes, while also broadening the application of psychoanalytic approaches in psychology, counseling, and popular culture.