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This study aims to describe the intrinsic structure and analyze the psychological aspects of the main characters in the three short stories based on Sigmund Freud's psychoanalytic theory. The research uses a qualitative approach with descriptive methods. Data sources are texts from three satua cutet in the Nimbang Rasa anthology: I Kucil by I Komang Tri Nanda Defhayana, Idup Lara by Ni Wayan Esa Juliantini, and Pajalan Keneh by Ni Putu Ayu Ari Astiti. Results show that the intrinsic structure of all three stories employs a linear plot, with themes of diligence, perseverance, and courage. Psychological analysis based on Freud's id, ego, and superego theory reveals that I Kucil is dominated by id impulses in the form of aggressive emotion due to injustice; Ani demonstrates a strong ego in withstanding social pressure and a firm superego in upholding moral values; while Gékyu shows a balance between ego and superego when facing abuse from a teacher. This research is expected to serve as a reference in Balinese literary studies, particularly in the field of literary psychology.

This research critically investigates the circulation of disinformation concerning the instability of fuel prices on the digital platform X and its subsequent implications for the polarization of modern society. In an era where unverified economic news frequently dictates public reaction, fake news often acts as a potent catalyst for mass anxiety. By implementing a quantitative framework driven by lexicon-based computational sentiment analysis, this study effectively processed a dataset of 500 public opinion samples extracted via Google Colab spanning from April 2024 to April 2026. To ensure computational accuracy and eliminate textual noise, the data underwent a rigorous preprocessing phase encompassing case folding, alongside the systematic removal of URLs, account mentions, numbers, hashtags, and punctuation marks. The statistical outcomes revealed a highly disproportionate emotional landscape, overwhelmingly dominated by 451 negative reviews. In stark contrast, neutral observations and positive affirmations were nearly absent, recording only 40 and 9 instances, respectively. The data compellingly illustrates that the relentless influx of pessimistic narratives regarding economic instability directly induces financial panic, undermines rational discourse, and severely fragments cyberspace into deeply polarized factions.

This study aims to develop a sentiment classification method for YouTube user comments related to the game Love and Deepspace using the Naïve Bayes algorithm, focusing on improving the text data processing and understanding user perceptions. Comment data were collected through scraping from YouTube videos, followed by preprocessing including text cleaning, normalization, stopword removal, stemming, and translation into English. Initial labeling was conducted using TextBlob, then the data were randomly sampled for training the Naïve Bayes model. Evaluation involved comparing sentiment distributions and visualization using Word Cloud and bar charts. The Naïve Bayes model achieved an accuracy of 77.36% in sentiment classification. The sentiment distribution shows differences between TextBlob (positive: 1,011, neutral: 1,312, negative: 575) and Naïve Bayes (positive: 901, neutral: 1,627, negative: 370), with Naïve Bayes being more conservative. The Word Cloud visualization identifies dominant words such as "bang," "game," and "main," while the bar chart shows the largest proportion of neutral sentiment. Naïve Bayes is effective for sentiment classification on informal comment data, with significant differences from rule-based methods like TextBlob. This research contributes to the development of text data processing techniques and user perception analysis, as well as opening up optimization opportunities with other algorithms like SVM for better accuracy.

 This study aims to analyze the use of Google Translate in the process of learning English, highlighting its benefits, limitations, and impact on students’ learning quality. This research employs a qualitative approach using a library research method, where data are obtained from various literature sources such as books, scholarly articles, and relevant online publications. The findings indicate that Google Translate is widely used by students as a tool to quickly and practically understand English texts. However, this high level of usage also leads to several issues, including the inaccuracy of translations in certain contexts, increased dependency on technology, and a limited understanding of language structure. Nevertheless, Google Translate still provides advantages in improving learning efficiency and access to global knowledge resources. Therefore, the use of this technology needs to be guided wisely so that it supports the learning process without reducing students’ cognitive engagement. This study is expected to contribute to a better understanding of the role of technology in language learning in the digital era and to serve as a reference for educators and students in utilizing technology more effectively.  

Social media has evolved into a significant platform where consumers freely express their opinions, experiences, and levels of satisfaction regarding various products, including those offered by Micro, Small, and Medium Enterprises (MSMEs). The comments and reviews shared by customers on these platforms contain diverse sentiments that can serve as valuable indicators of how consumers perceive product quality. Understanding these sentiments is crucial for MSME owners, as it allows them to evaluate their products and adapt to market expectations more effectively. This study aims to analyze customer sentiment toward MSME products on social media by utilizing the Naïve Bayes algorithm, a widely used classification method in text mining. The data used in this research consist of customer comments collected from various social media platforms. The research process involves several stages, including data collection, manual labeling of sentiments, text preprocessing (such as tokenization, case folding, and stopword removal), and splitting the dataset into training and testing subsets. Subsequently, the classification process is carried out using the Naïve Bayes algorithm to categorize sentiments into positive, negative, and neutral classes. The results of this study demonstrate that the Naïve Bayes method is effective in classifying customer sentiments with a satisfactory level of accuracy. These findings provide a comprehensive overview of consumer perceptions regarding the quality of MSME products. Furthermore, this research is expected to assist MSME business owners in understanding customer feedback more systematically and using it as a basis for improving product quality and enhancing customer satisfaction in a competitive digital marketplace.

Artificial intelligence has the potential to support radiology workflows by assisting in the identification of cases that may require additional clinical attention. However, alert-oriented medical AI systems should provide not only classification outputs but also interpretable evidence that can be reviewed and audited by clinicians. This study develops and evaluates an explainable multimodal framework for binary chest X-ray alert classification using paired radiology reports and chest X-ray images. The text branch employs TF-IDF n-gram features with a class-balanced Logistic Regression classifier, while the image branch fine-tunes a pretrained ResNet18 model. The two branches are integrated through probability-level late fusion using a validation-selected fusion weight. Explainability is implemented in a modality-specific manner: global coefficient analysis is used to identify influential textual cues, while Grad-CAM heatmaps are used to visualize salient image regions. Experiments were conducted on paired samples from the Open-i/IU X-Ray dataset using text-only, image-only, and fusion-based evaluation settings. Additional analyses include case-level complementarity analysis, bootstrap confidence intervals for ROC-AUC, shortcut-feature inspection, and qualitative Grad-CAM auditing. The results indicate that the text modality provides the dominant predictive signal under the current proxy-label setting. Late fusion produced a small descriptive improvement on the test set, increasing accuracy from 0.8533 to 0.8667, F1-score from 0.8817 to 0.8936, and ROC-AUC from 0.8936 to 0.9025 compared with the text-only baseline. However, the observed ROC-AUC improvement was not statistically conclusive based on bootstrap analysis. These findings suggest that the proposed framework is useful as a reproducible and auditable multimodal prototype, while also highlighting important limitations, including proxy-label ambiguity, potential label leakage from radiology reports, limited image-branch contribution, lack of external validation, and the need for stronger explanation and calibration assessment.

Immigrant children often face challenges in adjusting and adapting to new environments. This study analyses the adaptation process of the main character, Unhei, as an Asian American immigrant child in Yangsook Choi’s picture book The Name Jar. This study examines the challenges Unhei faces in The Name Jar as she attempts to adapt and maintain her identity in a new environment in America, including language barriers, cultural differences, and social interactions with peers. This study employs a qualitative method using text and illustration analysis based on the adaptation theory proposed by Lamme et al. (2004), which consists of three stages: making transitions, making connections, and becoming American. The findings show that Unhei experiences various challenges in adapting to her new environment, including language barriers, cultural differences, and difficulties in social interaction. Unhei undergoes three stages of adaptation; making transitions, making connections, and becoming American. In the making transitions stage, Unhei experiences confusion, insecurity, and difficulty adjusting to a new cultural and social environment. In the making connections stage, she maintains connections with her Korean identity through her family, language, traditional objects, and Korean food while gradually building relationships in her new environment. In the becoming American stage, Unhei begins to adapt to American society and develops confidence in accepting her Korean identity without abandoning her cultural background. Furthermore, Unhei’s experience reflects that adaptation does not always occur smoothly, but involves a process of self-negotiation in dealing with cultural differences. The adaptation process is dynamic and influenced by both internal and external factors, and positive social interactions can help accelerate successful adaptation in a new environment.

Culture shock is a phenomenon commonly experienced by individuals who encounter unfamiliar cultural environments, including children. This phenomenon is represented in the picture book The Way We Do It in Japan through the experiences of Gregory, an Asian-American child who moves from America to Japan and faces cultural differences in daily life. This study aims to analyze the representation of cultural differences between Japan and America and to examine the stages of culture shock experienced by Gregory throughout the story. This study employs a descriptive qualitative method using textual and visual analysis of the picture book. The analysis applies Oberg’s (1960) concept of culture shock and Pedersen’s (1995) stages of culture shock, including the honeymoon, disintegration, reintegration, autonomy, and interdependence stages. The findings reveal that differences in language, social norms, daily habits, and school practices become the main triggers of Gregory’s culture shock. His experiences develop dynamically from curiosity and confusion to gradual adaptation and cultural acceptance. These experiences also contribute to Gregory’s emotional growth, adaptability, and ability to understand cultural differences more objectively. Therefore, this study highlights the important role of children’s literature in promoting intercultural understanding, empathy, and awareness of cultural diversity among young readers.

This study examines the concept of God’s holiness in Leviticus 10:1–7 through an exegetical approach to the event of the “strange fire” offered by Nadab and Abihu. The background of this research lies in the need to rediscover the true meaning of God’s holiness, which is often misunderstood in contemporary worship practices. The purpose of this study is to explore the theological meaning of the passage and its implications for faith and worship. The research uses a qualitative method based on literature study, focusing on historical, literary, and thematic analysis of the biblical text. The findings reveal that God’s holiness in this passage is absolute and cannot be violated without serious consequences. The action of Nadab and Abihu in offering unauthorized fire shows that worship is not only about sincere intention but also about obedience to God’s commands. The immediate divine judgment highlights that God’s holiness demands total reverence. Furthermore, this event serves as a warning for the community to maintain holiness in worship. In conclusion, God’s holiness in Leviticus 10:1–7 is radical and requires complete obedience from humanity. The implication of this study is the importance of cultivating reverence, discipline, and obedience in worship, ensuring that faith practices are aligned with God’s will rather than human preference.

Indonesian culinary comments on social media platforms such as Instagram are characterized by informal spelling, regional language mixing, slang expressions, and emojis, posing substantial challenges for automated sentiment classification. While IndoBERT has demonstrated strong performance across Indonesian natural language processing tasks, the contribution of individual preprocessing components to fine-tuning performance on informal text remains underexplored, particularly in the culinary domain. This study addresses this gap by conducting a systematic preprocessing ablation study on IndoBERT-Base fine-tuning for Indonesian culinary sentiment classification, accompanied by a comparative evaluation against Naive Bayes with TF-IDF, SVM with TF-IDF, and BiLSTM as representative baselines. A dataset of 3,500 manually labeled Instagram culinary comments across three sentiment classes was used, with a stratified 80/10/10 split. Six preprocessing variants were evaluated under identical experimental conditions to isolate the contribution of each component. The results show that slang normalization is the most impactful single preprocessing step, yielding a macro F1-score gain of +0.0609 over the no-preprocessing baseline, while the full pipeline achieves an accuracy of 0.8800 and a macro F1-score of 0.8465. IndoBERT-Base with the full pipeline outperforms all baselines across all evaluation metrics. Per-class analysis reveals that the negative class achieves the lowest F1-score of 0.7600, with sarcastic expressions and Banjar regional vocabulary identified as primary sources of misclassification. These findings indicate that preprocessing decisions have a measurable and non-uniform effect on IndoBERT fine-tuning performance. In this study, slang normalization provides the most substantial individual contribution in bridging the vocabulary gap between informal user-generated text and the model’s pre-training distribution.

This study aims to analyze intersubjectivity, love, and hope in the anime The Fragrant Flower Blooms With Dignity through the perspective of the existentialist philosophy of Gabriel Marcel. The research employs a qualitative method using a literature review and content analysis approach. Data were collected from relevant philosophical texts on Marcel’s thought and from the analysis of scenes, dialogues, and character development in the anime. The findings reveal that the relationship between Kouruko Waguri and Rintaro Tsumugi reflects the concept of intersubjectivity as an authentic encounter between “I” and “Thou,” where both individuals recognize each other as subjects. The concepts of being and presence are manifested through genuine presence and relational openness, while having functions as a supporting element that does not lead to possessiveness. Furthermore, fidelity, love, and hope emerge as central dimensions in the fulfillment of the characters’ existence, as these aspects enable their relationship to develop in a meaningful and profound way. This study demonstrates that popular cultural works such as anime can serve as relevant media for philosophical reflection in understanding human existence as inherently relational.

Social change in the context of liquid modernity has significantly influenced how people understand interpersonal relationships, love, and commitment. Contemporary relationships tend to be flexible, temporary, and oriented towards the fulfillment of subjective needs, making loyalty and long-term commitment often viewed as a threat to personal autonomy. Based on Zygmunt Bauman's analysis of liquid modernity and liquid love, this study examines the crisis of modern relationships as an anthropological and theological crisis of meaning. Specifically, the study focuses on the Nota Doktrinal Una Caro as the Catholic Church's theological response to these relational dynamics. Using a library research method with a qualitative and analytical-hermeneutical approach, this study interprets magisterial texts in critical dialogue with the sociological theory of liquid modernity. The research findings show that the Nota Doktrinal Una Caro offers an integrated anthropological-theological vision by affirming Catholic marriage as a permanent, monogamous, and indissoluble communion of life and love. Fidelity is understood as the highest actualization of freedom, while sexuality is seen as an expression of total self-giving, offering an alternative to the fragmentation of modern relationships. The study also emphasizes the importance of a dialogical and formative approach in family counseling.

This study aims to analyze the influence of Qirâat (variant Qur’anic readings) on the interpretation of legal verses in Adhwâ’ al-Bayân by Muhammad al-Amîn al-Syinqîthi. Employing a qualitative library research approach, this study examines how both mutawâtir and syâdz Qirâat contribute to the process of Islamic legal deduction (istinbâth). The findings reveal that Qirâat function not merely as linguistic variations but also have significant implications for expanding, reinforcing, and providing flexibility in legal meanings across various domains, including worship (ibadah), family law (munâkahât), transactions (mu‘âmalah), and jihad. Al-Syinqîthi integrates linguistic analysis, textual evidence, and the objectives of Islamic law (maqâṣid al-syarî‘ah) in a comprehensive manner, enabling him to accommodate different Qirâat without generating legal contradictions. Mutawâtir Qirâat serve as the primary foundation for legal rulings, while syâdz Qirâat function as complementary and supportive arguments. This study concludes that the diversity of Qirâat constitutes an integral component of Qur’anic exegesis and Islamic jurisprudence, contributing to the development of a flexible, contextual, and relevant Islamic legal framework.

The study of Islamic manuscripts contributes to understanding the development of thought, values, and social practices in Muslim communities, especially when texts are viewed as cultural artifacts. This research examines the Eid al-Adha sermon manuscript from the private collection of Mgs. Muhammad Jufri using a philological approach combined with value and da'wah analysis. The method is qualitative, applying philological stages such as inventory, description, transliteration, and textual criticism to produce a reliable text edition close to the original form. The analysis is strengthened by hermeneutics and da'wah studies to interpret meanings, values, and messages contextually. The findings show that the manuscript has a structured sermon format consisting of opening, main content, and closing, with strong rhetorical and religious functions. The text contains core values such as tawhid, obedience, sacrifice, social solidarity, and morality, as well as da'wah messages emphasizing piety, qurban practice, ukhuwah, and social awareness. Although limited by the absence of data regarding authorship and transcription time, the manuscript remains relevant as a source of Islamic values. This study shows that combining philology with interpretive approaches can enrich textual meaning and support Islamic studies development in contemporary society and strengthening cultural understanding among modern Muslim communities today worldwide context.

This research is motivated by the reality of human life that is inseparable from suffering and a crisis of hope, particularly within the context of faith experiences. Lamentations 3:1–24 was chosen as the object of study because it contains a profound expression of suffering that transforms into hope through an awareness of God's steadfast love. The purpose of this study is to theologically examine the meaning of hope amid suffering and to explore how this text provides spiritual strength for believers in the contemporary era. The research employs a qualitative method with a library research approach and theological-biblical hermeneutical analysis of the text of Lamentations 3:1–24. The novelty of this research lies in its integrative interpretation, which emphasizes existential honesty, faith reflection, and spiritual refinement as a path to forming spiritual character through suffering. The findings indicate that suffering is not the end but a divine means to direct believers toward true hope in God’s steadfast love. Thus, honest faith, prayer, and waiting become tangible expressions of a spirituality that endures and grows amid darkness.

This study analyzes the news text on the online mass media detik.com titled "Jule's Infidelity Issue, Na Daehoon: I am strong for the sake of the children" using Sara Mills' Critical Discourse Analysis model. This research aims to reveal how the discourse of infidelity is constructed in media texts thru subject and object positioning, how character representation is displayed, how the reader's position is directed, the use of narrative structure, and the social context and gender ideology underlying the construction of this discourse. The research method used is a qualitative descriptive method with the data source being a news text published on detik.com. Data collection techniques were carried out thru document study by carefully reading and recording linguistic units relevant to the research focus, while data analysis techniques used Sara Mills' Critical Discourse Analysis model. The research findings indicate that Na Daehoon is positioned as the dominant subject, possesses voice legitimacy, and is positively represented as a strong and responsible male figure. Conversely, Jule is positioned as the object of news coverage, receiving no opportunity for clarification and being implicitly represented as the problematic party. Additionally, the narrative structure and language choices used in the news text also guide readers to build sympathy toward the male subject. The findings indicate that the analyzed news coverage is not neutral, but rather tends to reproduce patriarchal gender ideologies that could potentially influence society's perception of women in cases of infidelity.

This study aims to analyze the novel Laskar Pelangi by Andrea Hirata using a critical hermeneutic approach developed by Jürgen Habermas. The focus of this research is to uncover the critical meaning contained in the novel as a reflection of social reality, especially in the field of education. The method used is descriptive qualitative research with data collection techniques through literature studies and text analysis in the form of excerpts in novels. The results of the study show that the novel Laskar Pelangi not only presents an inspiring story, but also contains criticism of the education system in Indonesia which is still colored by inequality and injustice. In the aspect of communicative action, it was found that there was a dialogical interaction between teachers and students as well as the value of solidarity and strong struggle. However, in the aspect of communication distortion, there is injustice in access to education and a lack of space for poor groups to voice their interests. In addition, the analysis also reveals the existence of ideology and domination, especially economic dominance over education and social systems that oppress the lower groups. On the other hand, the emancipatory interest in this novel is reflected through education as a tool of liberation and the struggle of its characters in fighting against limitations. Thus, this study concludes that the novel Laskar Pelangi has an important role as a social criticism medium that is able to build readers' critical awareness of the reality of education and social inequality that occurs in society.

This study aims to analyze the short story “Siapakah Keluarga dari Tubuh yang Kacau Itu?” by Radja Sinaga using structural and moral approaches in order to obtain a comprehensive understanding of its content and meaning. The structural approach is employed to examine intrinsic elements, including theme, characters and characterization, plot, setting, point of view, language style, and message. Meanwhile, the moral approach is used to reveal the ethical values and life lessons contained in the short story. This study applies a descriptive qualitative method, with data collected through library research by means of intensive reading and systematic note-taking of the text. The results show that the short story demonstrates a strong structural unity, with the main theme focusing on human suffering caused by war and the loss of family. In addition, several moral values are identified, such as humanity, familial love, criticism of violence, loss of identity, and resilience in facing suffering. The use of the second-person point of view also strengthens the reader’s emotional engagement with the story. Therefore, the combination of structural and moral approaches provides a deeper understanding of the meaning of the short story and its relevance to real-life contexts. This study is expected to enrich literary studies and enhance readers’ appreciation of literary works.

Puja Semadi and Shalat Istikharah are common religious practices. Puja Semadi is performed by Buddhists, while Shalat Istikharah is performed by Muslims. Both are done to ask for guidance from God. However, a few people do not understand correctly how to do it and as a result some people experience confusion and still doubt in obtaining the desired guidance. This research aims to find out how Puja Semadi in the lokapala fiber, and how the meaning of shalat istikharah as a request for guidance. This research uses qualitative methods and in-depth interviews with religious experts who understand shalat istikharah. Data were collected through text analysis and interviews, and analyzed using qualitative analysis with its procedures. The data on Puja Semadi was taken from the transliteration of ancient manuscripts. Initially, the Javanese script was transliterated into Latin and then translated into Indonesian. Based on the results of the research, Puja Semadi in the lokapala fiber is done through meditation in a place called pemujaan. While shakat istikharah is done anytime and anywhere as long as the place is clean and pure. The results of this study can help readers to understand how the explanation of Puja Semadi and Shalat Istikharah.

The steady increase in divorce cases in Indonesia suggests that many couples begin married life without adequate emotional, financial, or intellectual readiness. In response, the government encourages premarital education as a preventive initiative designed to equip future spouses with the skills needed to manage potential domestic difficulties. Viewed through the lens of maqāṣid al-sharī‘ah, this initiative supports the essential goals of Islamic law, namely the promotion of well-being at the personal, family, community, and national levels. This study argues that premarital education reflects the core principles of Islamic legal ethics and functions as a normative expression of the sharī‘ah. Using a normative-theoretical legal framework combined with a maqāṣid al-sharī‘ah analysis, the research engages Qur’anic and Hadith texts, classical and modern fiqh discussions, uṣūl al-fiqh, Indonesian regulatory provisions on premarital counseling, and scholarly works on Islamic Family Law. The results show that major triggers of marital breakdown emotional instability, financial pressure, recurring disputes, and limited understanding of marital responsibilities can be reduced through structured premarital education. These programs strengthen spiritual awareness, emotional resilience, communication skills, conflict-resolution abilities, and economic management. Consequently, premarital education becomes a strategic mechanism for nurturing harmonious households and reinforcing the framework of Islamic Family Law in Indonesia, positioning it as a sharī‘ah oriented tool vital for contemporary social welfare.