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This study aims to analyze the inner conflict experienced by the female protagonist, Alina Suhita, in the novel Hati Suhita by Khilma Anis using Karen Horney’s psychological perspective. The study is motivated by the complexity of the psychological struggles faced by the main character in dealing with marital pressures, family expectations, and socio-cultural demands within a pesantren environment. This research employed a descriptive qualitative approach using content analysis. The data source was the novel Hati Suhita by Khilma Anis, while the research data consisted of textual excerpts depicting the protagonist’s inner conflicts. Data were collected through reading and note-taking techniques and subsequently analyzed based on Karen Horney’s theory of neurotic tendencies. The findings reveal that Suhita’s inner conflict is influenced by marital pressures, family demands, social expectations, as well as cultural and religious values that shape her personality. These conflicts are manifested through three neurotic tendencies: moving toward people, moving against people, and moving away from people. The tendency of moving toward people is reflected in her obedience, self-sacrifice, and need for acceptance. The tendency of moving against people appears in her efforts to maintain self-respect, assertiveness, and courage in confronting pressure. Meanwhile, the tendency of moving away from people is shown through emotional withdrawal, solitude, and the pursuit of inner peace. The findings indicate that the protagonist’s inner conflict is dynamic and functions as a form of psychological adjustment to basic anxiety and socio-cultural pressures throughout the narrative.

The tourism industry faced hyper-competition wherevisual identity became a vital asset, particularly ondigital platforms. Mbarep Tour and Travel struggledwith disintegrated visual management, resulting in alow engagement rate of 1.34 percent and significantinconsistencies in typography (70 percent). Thisresearch aimed to design an Integrated VisualIdentity System as a strategic solution for branddifferentiation. The Research and Developmentmethod was employed using a hybrid workflow thatintegrated CorelDRAW for vector precision, Geminiartificial intelligence for mascot three-dimensionalenhancement, and Canva for operational templates.The outcome was a comprehensive identity system,including refined logos, standardized typography,and a brand mascot, all codified in a GraphicStandard Manual. Post-implementation resultsshowed 100 percent effectiveness in resolving visualinconsistencies and increased the engagement rate to1.79 percent. This system successfully transformedthe brand into a more professional and competitiveentity.

This study discusses the leadership values reflected in the folklore of Panglima Wangkang in Marabahan as a representation of the local wisdom of the Banjar-Bakumpai community. Panglima Wangkang is recognized as a prominent figure who played a significant role in resisting Dutch colonialism in the Barito region. This research aims to examine Panglima Wangkang not only as a war hero but also as a symbol of cultural unity, religious values, and traditional leadership that still lives in the collective memory of society today. The study employs a qualitative historical method with a postcolonial approach. The data were collected through library research involving historical archives, scientific journals, books, and documented folklore. The research stages included heuristics, source criticism, interpretation, and historiography. The findings reveal that Panglima Wangkang’s leadership reflects the values of courage, strategic intelligence, loyalty, religiosity, and social concern. His well-known military strategy, referred to as the “Trojan Horse” technique, demonstrates his tactical ability in confronting colonial forces. In addition, religious values are reflected in his message to always maintain ablution and in the belief regarding martyrdom. The story of the golden bullet also symbolizes the community’s respect for the struggle and honor of local heroes. Panglima Wangkang’s cross-ethnic identity as both Banjar and Bakumpai further strengthened community unity in facing colonialism. This study shows that folklore functions not only as a cultural heritage but also as a medium for transmitting leadership values and local identity that remain relevant in the social life of the Marabahan community today.

This study explores the role of artificial intelligence in strengthening cybersecurity threat detection frameworks for next-generation network environments. The rapid expansion of cloud computing, Internet of Things ecosystems, and distributed digital infrastructures has significantly increased cybersecurity risks and operational vulnerabilities. Traditional cybersecurity systems often struggle to detect sophisticated and evolving threats due to their dependence on static detection mechanisms. Using a qualitative research approach and content analysis method, this study examines recent developments in artificial intelligence, machine learning algorithms, and intelligent cybersecurity frameworks. The findings indicate that AI-driven cybersecurity systems improve real-time threat detection, anomaly identification, automated monitoring, and predictive security analysis. Machine learning technologies such as Random Forest, Support Vector Machine, and deep learning models demonstrate strong potential for enhancing intrusion detection accuracy and reducing false positive rates. The study also identifies critical challenges related to ethical governance, privacy protection, computational complexity, and adversarial attacks in AI-based cybersecurity systems

Python programming has become a fundamental competence in the digital era, yet students often struggle to transform algorithmic logic into functional code. This gap between conceptual understanding and practical implementation skills requires a thorough investigation into learning challenges within the Industrial Informatics Engineering Technology (TRIN) program at Politeknik Manufaktur Bandung. Grounded in Bloom's Revised Taxonomy and Cognitive Load Theory, this descriptive quantitative study utilized a Likert-scale questionnaire and an objective comprehension test administered to 87 third-year students. Data were analyzed using descriptive statistics to map performance across three aspects: conceptual understanding, syntactic comprehension, and implementation ability. Results indicate the conceptual aspect achieved the highest average of 4.15, followed by syntax at 3.56 and implementation at 3.54, with objective test accuracy rates of 76.09%, 65.52%, and 67.36%, respectively. Major obstacles identified include difficulties with looping, debugging, and comparison operators. Therefore, enhanced structured practice and Project-Based Learning approaches are recommended to strengthen students' implementation competencies.

Bangka Belitung Islands Province as the largest tin producer faces legality dilemmas and criminalization of artisanal miners due to permit centralization through Law Number 3 of 2020. This study aims to analyze the impact of centralization on artisanal miners' legal access, criminalization practices under Article 158 of the Mineral and Coal Law, and the form of Bangka Artisanal Miners Alliance (ATRB) struggle demanding legal certainty. The research employs qualitative case study approach with data collection techniques through literature study and document analysis of regulations, court decisions, and media reports. Findings show centralization narrows legal access causing slow and bureaucratic process for Artisanal Mining Area (WPR) designation and Artisanal Mining Permit (IPR) issuance. Criminalization practices more frequently affect small-scale miners major actors, creating injustice perceptions and worsening socio-economic conditions of mining households. ATRB emerges as a social movement demanding legal recognition through accelerated WPR and IPR plus economic redistribution through fair tin trade governance. Non-transparent royalty management reaching Rp1.7 trillion worsens community vulnerability. This research contributes to social movement and natural resource politics studies by emphasizing the importance of participatory legalization and governance reform to reduce social conflict.

This community service activity aims to boost the self-confidence of seventh-grade students at SMP Negeri 2 Taniwel Timur, West Seram Regency, many of whom struggle with speaking in public. The activity was conducted through an arts performance as part of the University of Pattimura’s Community Service Program (KKN). The process was divided into three simple stages: preparation (meetings with the school and selecting competitions such as public speaking, poetry reading, or solo singing), implementation (students performed for 2 hours while receiving praise and positive feedback), and evaluation (observing changes such as more confident eye contact and a louder voice). As a result, the students participated actively, and their hesitation decreased significantly due to hands-on practice and support from teachers and peers. The arts performance proved to be an easy and comprehensive way to help students become more confident and sociable.

Abstract: Detecting chili leaf diseases remains challenging due to the non-uniform manifestation of symptoms, local discoloration, small lesion regions, and visual similarity between disease patterns and natural leaf background variations. Although YOLO-based detectors provide favorable computational efficiency, lightweight variants often struggle to distinguish subtle lesion characteristics, while conventional attention mechanisms such as CBAM primarily rely on global feature aggregation and may overlook regional activation variability. To address these limitations, this study proposes a YOLOv9s-based detection framework integrated with a Region-Dispersion Channel Spatial Attention (RDCSA) module. The proposed module incorporates regional dispersion statistics, namely mean, standard deviation, and range, as channel descriptors to capture inter-region feature variability before applying spatial attention refinement. Experiments were conducted on the COLD dataset containing 532 original images from five chili leaf condition categories using a split-before-augmentation protocol to ensure objective evaluation. RDCSA was integrated at the P5 feature level and evaluated through attention placement analysis, component-wise ablation, sensitivity analysis, stability assessment, and comparison with modern attention mechanisms. The proposed YOLOv9s + RDCSA model achieved an mAP@50 of 0.894, mAP@50–95 of 0.773, precision of 0.858, recall of 0.861, and an F1-score of 0.859 with only a marginal increase in model parameters. The results suggest that regional dispersion-based attention improves feature discrimination while preserving computational efficiency, particularly for disease symptoms characterized by heterogeneous spatial patterns. Nevertheless, performance remains influenced by visually ambiguous symptom categories, indicating that further validation across multiple datasets and field conditions is required. Overall, the proposed RDCSA module enhances detection capability without substantially increasing computational overhead, making it a promising attention mechanism for lightweight plant disease detection systems.

The digital transformation of Indonesia's political landscape has created space for the emergence of a new populist narrative based on vertical social mobility. This study aims to analyze the construction of the "Anak Kampung" identity used by Bahlil Lahadalia as an instrument of political branding on social media. Using netnography and a four-level Cyber ​​Media Analysis (AMS) tool, this study explores how past marginalized experiences—such as being a cake seller, a conductor, and a public transportation driver—are reconstructed into symbolic capital in the digital space. The results show that Bahlil carried out effective "impression management" through visual performativity and narratives of struggle, which succeeded in building affective loyalty among constituents across generations. However, this branding also faces challenges in the form of digital skepticism regarding academic integrity and controversial public policies. This study concludes that the success of political branding in the digital era depends heavily on actors' ability to navigate the logic of platform algorithms while maintaining a sense of authenticity.

This study aims to analyze the dynamics of adolescent love conflict in the film One Fine Day (2018), directed by Asep Kusdinar, through the lens of Sigmund Freud's psychoanalysis. The main focus of the study is the interaction of the three personality structures: the Id, Ego, and Superego, which shape the main characters' decision-making and behavior when facing romantic dilemmas. Using qualitative research methods with A content analysis approach, this study highlights how the characters Mahesa and Alana experience tension between impulsive drives (Id), demands of reality (Ego), and internalized moral norms (Superego). The results of this analysis indicate that the adolescent love conflict in this film is not merely a matter of superficial emotions, but rather a reflection of psychological struggles in the process of searching for identity. The film effectively visualizes how its characters negotiate desires, social rules, and moral principles, ultimately leading to character growth and emotional maturity. This study confirms the relevance of Freud's theory in understanding the psychological complexity of young people, especially as represented through cinema. 

The ability to describe graphs accurately in English is an essential academic skill for EFL learners, particularly in higher education contexts where students are required to interpret and communicate visual data. However, many learners still experience difficulties in producing grammatically accurate graph descriptions. This study aims to investigate the level of grammatical accuracy demonstrated by EFL learners in graph description tasks and identify the grammatical aspects that require further improvement. Employing a descriptive qualitative approach, the research analyzed 30 samples of students’ written graph descriptions produced by undergraduate learners. The analysis focused on several grammatical aspects, including subject–verb agreement, tense consistency, article usage, sentence structure, prepositions, and punctuation. The findings reveal that students frequently struggle with subject–verb agreement and article usage, while punctuation errors occurred less frequently. The study highlights that grammatical accuracy remains an important challenge for EFL learners in academic writing tasks involving data interpretation. Therefore, it is recommended that grammar instruction be integrated more intensively into graph description activities in English classes. The findings are expected to contribute to the development of more effective teaching strategies in academic writing instruction for EFL learners.

This study aims to investigate the professional development needs of Islamic Education teachers in enhancing their pedagogical competence in the digital age. Employing a qualitative approach with a case study design, data were collected through in-depth interviews and classroom observations of Islamic Education teachers in various urban schools. Thematic analysis revealed four major themes: the dual struggle of technological adaptation and value preservation, the gap between digital access and meaningful pedagogical integration, the transformative potential of collaborative learning communities such as the Subject Teacher Discussion Group (MGMP), and the emergence of a new professional identity as spiritual-digital facilitators. The findings indicate that Islamic Education teachers are not resistant to technology but are actively reflecting on how to integrate digital tools in ways that serve the holistic goals of Islamic education, including spiritual and character formation. The primary gap lies not in technical skills, but in the pedagogical wisdom to use technology contextually and in alignment with Islamic values. The study concludes that effective professional development must be sustained, collaborative, and specifically address the intersection of Islamic pedagogy and digital technology, recognizing teachers as the primary agents of educational transformation.

Suspicious urban sound recognition is a critical component of intelligent public safety and urban monitoring systems, enabling the automated identification of anomalous acoustic events such as gunshots, sirens, and other security-sensitive sounds. However, existing deep learning approaches often struggle to simultaneously capture long-range temporal dependencies and global contextual relationships, particularly under noisy and acoustically complex urban conditions. This limitation can reduce reliability in safety-critical scenarios where missed detections carry significant risk. To address these challenges, this study proposes a Multi-Branch Bidirectional Long Short-Term Memory (BiLSTM) framework with Multi-Head Self-Attention (MHSA) for enhanced sequential and contextual feature modeling. Mel-frequency cepstral coefficients (MFCCs) are extracted from a curated subset of the UrbanSound8K dataset, comprising five suspicious sound classes, and used as input to the proposed architecture. The multi-branch design enables complementary temporal representations, while the self-attention mechanism provides lightweight contextual weighting of BiLSTM outputs. Experimental results demonstrate that the proposed model achieves a test accuracy of 95.59%, outperforming conventional Dense and LSTM-based baseline models under identical experimental settings. An ablation study further confirms the contribution of multi-branch integration and attention-based enhancement to overall performance. Class-wise evaluation reveals consistently high recall across all sound categories, particularly for safety-critical classes such as gunshots and sirens. These findings indicate that the proposed framework provides robust and reliable performance, making it suitable for real-time smart city surveillance and public safety applications.

Young people often respond to stress through maladaptive patterns such as self-blame, avoidance, emotional withdrawal, and catastrophic thinking. These responses may provide temporary psychological protection, but they can also weaken emotional regulation, resilience, and interpersonal functioning over time. This study examines how Plato’s concept of eudaimonia and Jung’s analytical psychology can be integrated to interpret and address maladaptive responses in youth. Using a qualitative conceptual design supported by exploratory survey data, the study develops an interpretive framework that connects Jungian self-awareness with Platonic virtue-based self-regulation. The survey findings indicate that self-critical and avoidant tendencies were common among respondents, suggesting that many participants struggled to manage stress in reflective and constructive ways. In response, the article argues that Jung’s emphasis on recognizing hidden emotions and inner conflict can deepen psychological insight, while Plato’s emphasis on reason, virtue, and moral formation can guide individuals toward more balanced coping. The study contributes a humanistic framework for youth stress management that links emotional awareness, ethical self-governance, and personal flourishing. It also offers practical implications for educators, counselors, and families seeking more integrative approaches to youth well-being.

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 reflective autoethnographic study explores the lived experience of being an only child caring for an elderly mother with Parkinson's disease while working as a full-time lecturer. The research aims to understand how this dual role affects the caregiver's mental health, work productivity, and relationship with the mother. Using a reflective autoethnographic approach based on Ellis, data were collected through three techniques: autobiographical narratives and memos, analysis of personal artifacts (work schedules, medical records, photographs), and an integrated self-interview. Thematic-reflective analysis revealed three main themes. First, structural loneliness describes the profound isolation resulting from having no sibling to share physical, emotional, and decisional responsibilities, which informal support cannot easily remedy. Second, stealth strategies at work refer to hidden tactics such as leaving early without disclosure, using breaks to check on the mother, and concealing caregiving struggles to avoid being perceived as less committed or losing professional opportunities. Third, fought for bonds shows that despite exhaustion and initial frustration, the caregiver’s relationship with her mother deepened through daily effort, patience, and reframing caregiving as meaningful devotion, a process aligned with filial maturity. The findings highlight the unique pressures faced by only-child working caregivers, including invisible productivity loss and the inadequacy of general social support. Practical implications for employers, social workers, and policymakers are discussed. This study contributes a rich first-person account to the underexplored area of only-child caregiving and offers recommendations for workplace cultural change, targeted support groups, and subsidized respite services.

Heating, Ventilating, and Air Conditioning (HVAC) systems often suffer from significant energy wastage due to their inability to adapt to real-time environmental changes, leading to high operational costs. Although Proportional-Integral-Derivative (PID) controllers are widely used for their simplicity and reliability, they struggle to handle the complex dynamics of modern environments, requiring advanced optimization to enhance efficiency. This study aims to optimize PID controllers by integrating the Queen Honey Bee Migration (QHBM) algorithm to improve HVAC performance, energy efficiency, and adaptability. The research method employs an experimental approach that compares the performance of conventional PID controllers with PID controllers optimized using the QHBM algorithm under dynamic environmental conditions. The results show that the PID-QHBM system significantly outperforms the conventional PID system, achieving a rise time of 0.2649 seconds and a settling time of 1.6874 seconds with an almost negligible steady-state error of 9.4991e-08. Although it experiences a slight overshoot of 16.3810%, the system stabilizes quickly and maintains the target temperature efficiently. In contrast, the conventional PID controller exhibits slower response characteristics, with a rise time of 1.3730 seconds, a settling time of 2.5144 seconds, and a larger steady-state error of 0.0361. This study demonstrates that integrating the QHBM algorithm into PID controllers provides a more effective solution for real-time temperature control, offering substantial improvements in energy efficiency and system performance. The findings contribute to advancing intelligent HVAC control systems that can better adapt to environmental variations while minimizing operational costs.

This study, entitled "Developing Emotional Control Skills in Early Childhood Education (PAUD) Duyun in Bungabali Village, Pantar Timur District," found that children still struggle to manage their emotions, such as irritability, excessive crying, and difficulty interacting positively with peers. Therefore, effective and enjoyable efforts are needed to help children control their emotions, one of which is through storytelling. This study aims to develop children's emotional control through the application of storytelling to early childhood education at PAUD Duyun. The research method used is a descriptive (exploratory) approach, based on objective observation of a social phenomenon. In this case, the research compiles or creates a clearer picture while data is collected and parts are tested. The results are expected to demonstrate that the application of storytelling can improve children's ability to recognize, express, and control emotions more positively. Furthermore, storytelling activities can also create a fun and interactive learning environment, making it easier for children to understand the emotional values ​​conveyed.

This study aims to examine the contributions of A.M. Sangaji to the field of education during the period of 1922–1949 within the broader context of anti-colonial struggle. This research employs a qualitative method with a historical approach, involving the stages of heuristics, verification, interpretation, and historiography. Data sources are derived from library research, including books, scholarly articles, and relevant historical documents. The findings reveal that A.M. Sangaji’s contributions to education were closely intertwined with his political and social activism within Sarekat Islam. He actively established Qur’anic teaching centers and educational institutions, particularly in East Kalimantan, aimed at enhancing intellectual and religious awareness among indigenous communities. Furthermore, his role as a writer and orator significantly influenced the development of national consciousness and resistance against colonial rule. His integrity, ideas, and commitment to education highlight his substantial role in the history of Indonesian education. This study concludes that A.M. Sangaji’s contributions extended beyond formal education to encompass social, political, and religious education oriented toward the liberation of society from colonial oppression. Therefore, A.M. Sangaji deserves recognition as both an educational figure and a national hero, with enduring relevance for contemporary educational development.

Speaking is a critical skill in language learning and is essential for effective communication and social interaction. However, students often struggle with speaking due to various factors such as lack of confidence, motivation, and exposure to the language. Mingle games, which involve active interaction and problem solving in a fun context, were introduced as a teaching method to address these challenges. This study investigates the impact of implementing mingle games to enhance the speaking skills of elementary school students in Loei Province, Thailand. A quantitative research approach was employed, with pre tests and post tests administered to a sample of 22 students from Ban Nonkokkha School. The findings indicate that the use of mingle games have positive impact for students' speaking skills, as evidenced by higher post test scores. This study concludes that Mingle Game has a significant impact in developing students' speaking skills. The suggestion from the researcher is to develop and explore more learning media so that students are motivated to speak English more.