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This project is motivated by the increasing rate of deforestation in Indonesia, which has led to ecosystem degradation and the threat of extinction for endemic species, as well as the relatively low environmental awareness among young people due to the abstract and systematic presentation of data. The main objective of this work is to produce a 5-minute 2D animation that effectively raises awareness among adolescents aged 14–24 about the threat of environmental extinction caused by deforestation in Indonesia. This is achieved through a three-act narrative approach using a first-person perspective of the Javan surili, positioned as a narrative “lens” and a representation of a victim of a damaged ecosystem, allowing abstract issues to be understood in a more personal, emotional, and empathetic way. The method includes pre-production (research, concept development, and scriptwriting), production (development of dialogue, monologue, and visual direction based on a three-act structure), and post-production (narrative evaluation and script refinement). The result is an educational animation script titled “Jaga Alam, Cegah Kepunahan,” which integrates scientific data, visual storytelling techniques, and multimedia learning principles to deliver messages in an informative and emotional manner. The three-act structure successfully constructs a systematic storyline from introduction, conflict, to resolution with a call to action. The conclusion shows that 2D animation with a personal narrative approach is effective in transforming environmental issues into accessible messages, increasing empathy, and encouraging audience awareness and participation in environmental conservation.

This study aims to examine the impact of academic burnout on students’ mental health in the context of hybrid learning through a literature review approach. The rapid transformation of learning systems in higher education, particularly the integration of online and offline methods, has increased academic demands and adaptation challenges for students. This condition potentially triggers academic burnout, which is characterized by emotional exhaustion, depersonalization, and decreased academic achievement. This research employs a literature review method by analyzing relevant scientific articles published between 2019-2025 obtained from indexed national journals and open-access sources. The findings indicate that academic burnout is still commonly experienced by students, generally at a moderate level, and has a significant impact on mental health, including increased stress, emotional fatigue, and decreased academic performance. The study also identifies several influencing factors, including internal factors such as self-efficacy and hardiness, as well as external factors such as social support, learning environment, and academic workload. Furthermore, technological developments, particularly Artificial Intelligence, have the potential to be utilized as an early detection and prevention tool for academic burnout. This study implies the importance of developing adaptive learning strategies and psychological interventions to support students’ well-being in hybrid learning environments.

Anak sebagai generasi penerus bangsa memiliki hak konstitusional untuk memperoleh perlindungan, termasuk ketika berhadapan dengan hukum. Sistem Peradilan Pidana Anak di Indonesia melalui Undang-Undang Nomor 11 Tahun 2012 menegaskan pendekatan keadilan restoratif dan diversi sebagai prinsip utama, serta menempatkan terpencil sebagai upaya paksa yang bersifat eksepsional dan ultimum remedium. Penelitian ini bertujuan untuk menganalisis prinsip perlindungan anak dalam SPPA, kedudukan tersingkir sebagai upaya paksa yang bersifat terbatas, serta syarat normatif tersingkirkan anak menurut ketentuan peraturan-undangan. Metode penelitian yang digunakan adalah penelitian hukum normatif dengan pendekatan peraturan-undangan dan pendekatan kontekstual, menggunakan bahan hukum primer, sekunder, dan tersier yang dianalisis secara kualitatif melalui penafsiran hukum. Hasil penelitian menunjukkan bahwa SPPA membangun konstruksi perlindungan anak melalui pengawasan ketat terhadap penggunaan terpencil, baik dari segi usia minimum, ancaman pidana, penilaian risiko, maupun kewajiban mempertimbangkan Laporan Penelitian Kemasyarakatan. Penahanan anak hanya dapat dilakukan apabila syarat terpenuhinya persyaratan dan tidak tersedia alternatif lain yang lebih melindungi kepentingan terbaik anak. Dengan demikian, kebijakan normatif tersingkir merupakan instrumen penting untuk menjaga konsistensi prinsip perlindungan anak, mencegah perlindungan upaya paksa, serta menjamin keadilan yang berorientasi pada rehabilitasi dan masa depan anak.

In the current digital era, public services are increasingly being transformed through technology, including tax administration systems. One of the major innovations implemented by the Indonesian government is the Core Tax System, an integrated tax administration system designed to improve service efficiency, data integration, and taxpayer compliance monitoring. This study aims to analyze the effect of Core Tax System implementation on taxpayer compliance in Indonesia. The research adopts a quantitative approach using primary data collected through questionnaires distributed to taxpayers. The collected data were tested using validity and reliability tests and analyzed through descriptive statistics and significance testing to examine the relationship between the research variables. The results indicate that the implementation of the Core Tax System has a positive and significant effect on taxpayer compliance, both partially and simultaneously. These findings suggest that tax system digitalization can serve as an important instrument in improving taxpayer compliance in Indonesia.

This study examines the role of Artificial Intelligence (AI) in enhancing student collaborative learning, with a particular emphasis on AI-driven feedback mechanisms and patterns of student interaction in developing effective collaborative skills. Unlike prior studies, this research highlights the mediating effect of AI-driven feedback on teamwork efficiency and overall learning outcomes in collaborative environments. An explanatory quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) to ensure robust data analysis. Data were collected from 112 university students who were actively engaged in AI-assisted collaborative learning activities, using a structured online survey instrument. The data were subsequently analyzed using SmartPLS software. The results reveal that AI significantly enhances student interaction (β = 0.534, p < 0.000) and improves problem-solving feedback (β = 0.620, p < 0.000), both of which contribute to significantly strengthening collaborative skills (β = 0.716, p < 0.000). However, the findings also indicate that AI alone does not directly improve collaboration without the support of structured pedagogical design and guidance. Therefore, universities should strategically integrate AI-driven feedback into Learning Management Systems (LMS) and strengthen digital literacy initiatives to optimize the effectiveness and sustainability of AI in collaborative learning contexts.

Sustainability issues encompassing economic, social and environmental aspects are driving reform in the global financial sector, including in Indonesia. Although the OJK has published a Sustainable Finance Roadmap since 2015, Indonesia does not yet have comprehensive green finance regulations in the banking sector. This study aims to analyse the state of green finance regulation in the Indonesian banking sector and compare it with China’s Green Credit Guidelines, in order to identify relevant aspects for adoption in strengthening national green finance policy. This study employs a normative legal methodology using a legislative and comparative law approach, alongside a qualitative descriptive-analytical analysis of secondary data. The author found that green finance regulations in Indonesia remain fragmented and scattered across various sectoral legal instruments without adequate integration, thereby creating loopholes for greenwashing practices and the adoption of green principles that are merely administrative in nature. The Sustainable Finance Committee mandated by the P2SK Act has not yet been established, exacerbating the lack of coordination between institutions. In contrast, China, through its 2012 Green Credit Guidelines and 2016 Guidelines for Establishing a Green Financial System, demonstrates a regulatory model that is hierarchical, standardised, and legally binding. A comparison of the two identifies four relevant aspects for Indonesia to adopt: an integrated regulatory approach, standardisation of environmental risk operations, strengthening of oversight mechanisms and due diligence, and cross-sectoral institutional coordination. Consequently, Indonesia requires comprehensive, dedicated green finance regulations and must promptly establish the Sustainable Finance Committee as the sole coordinating authority.

The implementation of civil justice in Indonesia is fundamentally guided by the principles of simplicity, speed, and low cost. However, in practice, the regulation concerning the time limits for summons and the determination of trial schedules remains inadequate, leading to legal uncertainty. This study aims to analyze the legal certainty of time limits in summons and trial scheduling within civil procedural law, as well as to examine its implications for the effectiveness of case resolution. This research employs a normative legal method with statutory and conceptual approaches, supported by a descriptive-analytical design. The findings indicate that existing regulations, particularly those derived from the Herzien Inlandsch Reglement (HIR) and Rechtsreglement voor de Buitengewesten (RBg), only provide minimum standards for summons but do not comprehensively regulate the timeframe for determining the first hearing or intervals between subsequent hearings. As a result, there is broad discretion in judicial practice, which leads to inconsistencies among courts, repeated trial delays, increased litigation costs, and reduced access to justice. Although recent reforms through electronic court systems have improved the mechanism of summons delivery, they have not sufficiently addressed the issue of time management in trial proceedings. This study concludes that the absence of clear and comprehensive regulations on trial timeframes weakens legal certainty and hinders the realization of efficient judicial processes. Therefore, strengthening normative regulations on trial scheduling is essential to support a more effective, predictable, and equitable civil justice system.

The rapid proliferation of learning analytics, business intelligence (BI), artificial intelligence (AI), and generative AI (GenAI) has significantly expanded universities’ ability to collect, integrate, analyze, and operationalize institutional data. However, despite advances in predictive analytics, dashboards, and AI-driven systems, the translation of analytical outputs into consistent and accountable institutional decision-making remains uneven. This systematic literature review synthesizes contemporary research on analytics-enabled decision-making in higher education with the aim of moving beyond dashboard-centric perspectives toward a socio-technical and computing-oriented understanding of how data are transformed into institutional actions and outcomes. Guided by the PRISMA framework, the review synthesizes evidence across four interconnected dimensions: data ecosystems and learning analytics foundations; analytics capability, BI adoption, and digital readiness; AI and advanced analytics for decision support; and human-in-the-loop (HITL) decision routines and institutional outcomes. The findings show that predictive performance and analytical sophistication alone do not guarantee decision value. Instead, effective analytics-enabled decision-making depends on interoperable data ecosystems, organizational analytics capability, governance mechanisms, explainability, and sustained human oversight. Based on these findings, this review contributes a computing-oriented decision-intelligence framework that conceptualizes analytics-enabled decision-making as an end-to-end socio-technical pipeline linking heterogeneous data acquisition, integration, feature construction, analytical modeling, explainability, human validation, governance, and feedback-based refinement. By integrating learning analytics, BI, AI, GenAI, and HITL mechanisms within a unified framework, the review clarifies how universities can move beyond dashboard-based reporting toward accountable, adaptive, and institutionally actionable decision-support infrastructures.

Digitalization has become a fundamental pillar in the transformation of global labor governance, including for Indonesian Migrant Workers (TKI) in Malaysia, whose numbers reach more than 1.4 million people. This article aims to conduct an in-depth analysis of the urgency of digitalization in improving welfare, legal protection, and access to financial services for TKI in Malaysia through a systematic literature review with a descriptive qualitative approach. The research results show that digitalization has a significant impact in three main domains: (1) legal protection through migtech that bridges the gap between policy and practice, (2) economic efficiency and financial inclusion through fintech and digital wallets, and (3) competency empowerment through digital literacy training. However, various studies also highlight challenges such as suboptimal system privatization, low digital literacy, limited internet access, and the risk of cyber exploitation. The research conclusion emphasizes that digitalization is not merely an additional option but a strategic necessity for migrant workers in Malaysia to build a more independent, protected, and competitive future, with the caveat that a holistic approach involving the government, financial institutions, communities, and the strengthening of bilateral policies is needed.

Mental health issues among university students have become a growing concern, driven by academic pressures, career uncertainties, and complex social transitions. However, a large proportion of students remains reluctant to seek professional psychological support due to social stigma and limited access to institutional counseling services. This study proposes the design and implementation of an Android-based chatbot application that integrates mood tracking and sentiment analysis to continuously monitor the emotional states of university students. The system employs a fine-tuned RoBERTa (Robustly Optimized BERT Pretraining Approach) model trained on the EmoContext conversational dataset (SemEval-2019 Task 3), comprising 30,160 labeled three-turn dialogue instances across four emotion classes: angry, happy, sad, and others. The model was fine-tuned for four epochs using the AdamW optimizer with a learning rate of 2e-5 and a maximum sequence length of 128 tokens. Evaluation on a held-out validation set of 6,032 samples yielded an overall accuracy of 88.28%, a macro-average F1-score of 0.87, and a weighted-average F1-score of 0.88. Per-class F1-scores were 0.89 (angry), 0.83 (happy), 0.91 (others), and 0.86 (sad). The classified emotion is transmitted in real time to the chatbot response logic, which generates empathetic replies and personalized relaxation recommendations based on the detected mood. Primary data collection through questionnaires and interviews with 62 and 19 university students respectively confirmed the need for accessible digital mental health support. The results demonstrate that RoBERTa-based fine-tuning on conversational data provides a reliable foundation for real-time emotion-aware mental health chatbot systems.

Background:Micro, small, and medium enterprises (MSMEs) in Indonesia, particularly in the food processing sector, frequently encounter challenges such as limited production capacity, conventional marketing practices, weak brand identity, and inadequate financial documentation, which hinder sustainable business growth. This community service activity aimed to provide comprehensive assistance to Rona Surya, a traditional snack MSME located in Wagir, Malang Regency, through the formulation of production standard operating procedures (SOPs), digital marketing capacity building, brand identity renewal, human resource development, and simple financial recording training. The activity applied a participatory action approach involving direct observation, structured problem identification, systematic mentoring programs, and reflective evaluation over a 16-week period from January to May 2026. The program resulted in the development of a production SOP, active Instagram and TikTok accounts containing at least five promotional content items, a renewed brand logo, a business banner, a simple organizational structure, a vision and mission document, and a basic cash book. In addition, the business owner demonstrated measurable improvements in digital marketing capabilities, brand awareness management, and understanding the importance of separating personal and business finances.

Organizations in the digital era face rapid and unpredictable changes characterized by volatility, uncertainty, complexity, and ambiguity, requiring strategic adaptation and effective change management. This study aims to synthesize empirical findings on the role of change management strategies, adaptive leadership, innovative organizational culture, and employees’ psychological readiness in supporting digital transformation and improving employee performance. The research employs a Systematic Literature Review (SLR) approach based on PRISMA 2020 guidelines, analyzing 23 selected peer-reviewed articles published between 2021 and 2026. The findings indicate that successful digital transformation is not solely determined by technological advancement but largely influenced by human-centered factors. Adaptive and transformational leadership plays a critical role in fostering trust, reducing resistance, and maintaining employees’ emotional stability during organizational change. Furthermore, an innovative organizational culture, transparent communication, and continuous training significantly enhance employee engagement, adaptability, and performance. Psychological factors such as stress and resistance can either hinder or support change outcomes depending on how they are managed. The study highlights the importance of integrating technological, structural, and human aspects to achieve sustainable organizational transformation. The implications suggest that organizations should prioritize human-centered change strategies, strengthen digital literacy, and promote adaptive leadership to remain competitive in the Society 5.0 era.

The development of Artificial Intelligence (AI) has transformed how business organizations manage operations, process information, and make strategic decisions, thereby creating a need for leadership patterns that are more adaptive, visionary, and responsive to digital transformation. This study aims to explain the concept of AI Leadership in the business context, identify why modern leadership must adapt to the advancement of AI, and analyze the leadership strategies that are relevant for navigating the era of AI-driven business. The study employs a Systematic Literature Review (SLR) approach with a narrative-thematic synthesis of relevant open-access scholarly literature on AI Leadership, digital leadership, human–AI collaboration, business transformation, and AI ethics. The findings show that AI Leadership represents a modern form of leadership that emphasizes not only technological understanding but also the ability of leaders to direct organizational change, foster data-driven decision making, manage collaboration between humans and technology, and implement responsible AI governance. The study also finds that the main strategies required by leaders in the AI era include strengthening digital literacy, developing adaptive managerial capabilities, enhancing human–AI collaboration, and integrating ethical principles into technology implementation. This article contributes conceptually by reinforcing AI Leadership as a leadership framework that is highly relevant to modern organizations and offers practical implications for the development of business leadership in the era of digital transformation.

Industrial hygiene management plays a critical role in protecting worker health by controlling exposure to hazardous factors in the workplace. However, many work environments still show suboptimal implementation, leading to increased risks of occupational diseases. This study aims to analyze the implementation of industrial hygiene management systems in improving worker health based on a literature review approach. The method used is a literature review by collecting and analyzing scientific articles from national databases published between 2021 and 2026. A total of ten relevant articles were selected through a systematic screening process based on predefined inclusion criteria. The findings indicate that workplace hazards such as physical, chemical, and ergonomic factors are significantly associated with various health problems, including respiratory disorders, musculoskeletal issues, and work-related fatigue. The implementation of industrial hygiene management systems, including hazard identification, risk control measures, use of personal protective equipment, and environmental monitoring, has been shown to reduce health risks among workers. However, the effectiveness of implementation is influenced by factors such as worker compliance, management commitment, and availability of facilities. These results highlight the importance of a comprehensive and systematic approach to industrial hygiene in maintaining worker health and preventing occupational diseases. Therefore, strengthening the implementation of industrial hygiene management systems is essential to create a safe and healthy working environment and to support sustainable occupational health practices.

Background: Recurrent Aphthous Stomatitis (RAS) is a common disorder characterized by recurrent ulcers limited to the oral mucosa. The etiology of RAS itself is not yet known for certain, but it is suspected that there are several predisposing factors, including hormonal changes, trauma, malnutrition, stress. Purpose: This study aims to determine the description of RAS in patients at the Oral Medicine Department of Dental Hospital University of Jember based on classification, general condition, suspected predisposing factors, and management. Method: This research is a descriptive observational study with a research population of 722 data from the Department of Oral Medicine, Dental Hospital of University of Jember. The number of samples that met the researchers' criteria was 171. Results: RAS patients is more common in women, 64.91% . RAS occurs in 69.60% of patients aged 21-30 years. RAS were mostly found in patients who did not experience symptoms of systemic factors, in 91.22%. The type of RAS that often occurs is the minor type in 78.37%. 68.42% RAS patients had no suspected predisposing factors. Based on RAS management, pharmacological therapy is divided into two parts, topical pharmacological therapy 59.07% and supportive pharmacological therapy 40.93%. Communication, information and education service was done for all 171 RAS patients. Conclusion: Based on the research conducted, that minor RAS is more prevalent in female 21-30 age group, with absence of underlying diseases, and the most frequently therapeutic modality is topical agents.

Background: Recurrent Aphthous Stomatitis (RAS) is a common disorder characterized by recurrent ulcers limited to the oral mucosa. The etiology of RAS itself is not yet known for certain, but it is suspected that there are several predisposing factors, including hormonal changes, trauma, malnutrition, stress. Purpose: This study aims to determine the description of RAS in patients at the Oral Medicine Department of Dental Hospital University of Jember based on classification, general condition, suspected predisposing factors, and management. Method: This research is a descriptive observational study with a research population of 722 data from the Department of Oral Medicine, Dental Hospital of University of Jember. The number of samples that met the researchers' criteria was 171. Results: RAS patients is more common in women, 64.91% . RAS occurs in 69.60% of patients aged 21-30 years. RAS were mostly found in patients who did not experience symptoms of systemic factors, in 91.22%. The type of RAS that often occurs is the minor type in 78.37%. 68.42% RAS patients had no suspected predisposing factors. Based on RAS management, pharmacological therapy is divided into two parts, topical pharmacological therapy 59.07% and supportive pharmacological therapy 40.93%. Communication, information and education service was done for all 171 RAS patients. Conclusion: Based on the research conducted, that minor RAS is more prevalent in female 21-30 age group, with absence of underlying diseases, and the most frequently therapeutic modality is topical agents.

Laparotomy is a major surgical procedure associated with a high risk of acute postoperative pain. According to Gan (2017), if pain is not properly managed, it can progress to chronic pain. (Toro et al., 2018) reported that severe pain on the first postoperative day is still commonly found in laparotomy patients, while (Small & Laycock, 2020) indicated that moderate to severe pain within the first 24 hours following major surgery remains a significant clinical issue. This study aims to evaluate the effectiveness of pharmacological pain management following laparotomy under general anesthesia, specifically to identify the types of opioid analgesics used, analyze their effectiveness in reducing pain intensity, identify side effects, and examine administration techniques and routes. This study employed a Systematic Literature Review (SLR) method following the PRISMA guidelines. Literature searches were conducted in the PubMed, ScienceDirect, and SpringerLink databases covering the years 2015–2026. The included studies comprised randomized controlled trials (RCTs), cohort studies, and retrospective studies addressing opioid pharmacological pain management in adult patients following laparotomy under general anesthesia. Study quality assessment was performed using the Joanna Briggs Institute (JBI) instrument. A total of 11 studies met the inclusion criteria. The results of the systematic literature review indicate that opioids are effective in reducing postoperative pain following laparotomy under general anesthesia. The most commonly used opioids are morphine, fentanyl, and oxycodone. Of all the opioids reviewed, oxycodone provided the best pain control, while intrathecal morphine was most effective in reducing the need for supplemental opioids during the early postoperative period. Other opioids, such as extended-release dinalbuphine sebacate and tegileridine, are also effective, but the number of studies is still limited. The most common side effects are nausea, vomiting, pruritus, sedation, and dizziness. Pharmacological pain management using opioids is effective in reducing the intensity of postoperative pain following laparotomy under general anesthesia. Morphine, fentanyl, and oxycodone are the most commonly used opioids. Oxycodone and intrathecal morphine have shown good results in improving pain control and reducing the need for supplemental opioids. The selection of opioid type, dosage, and administration technique must be tailored to the patient’s clinical condition to achieve optimal analgesia with minimal side effects.

Flood disasters have repeatedly affected Aceh Tamiang Regency for over fifteen years, causing significant material and socio-cultural losses. This study aims to examine the social response of the community through a literature review approach, using Jurgen Habermas's Communicative Action Theory as the analytical framework. Data were collected systematically from national journal articles, scientific proceedings, and academic reports related to flood mitigation and community social response in Aceh Tamiang. Data analysis was conducted using content analysis and thematic analysis techniques. The findings reveal that the community's response is primarily driven by local solidarity rooted in cultural values and local wisdom such as hadih maja. In Habermasian terms, this social response reflects the lifeworld domain, manifesting in voluntary collective action. However, a structural tension exists between the government's top-down system and the community's communicative rationality. Effective disaster mitigation requires the development of participatory public spaces that bridge the system and lifeworld, enabling the transformation from instrumental action to communicative action, thereby strengthening collective resilience against flood disasters.

The development of social media in the digital era has significantly changed children’s social interaction patterns. Besides providing benefits such as easier access to information and opportunities for creativity, social media also brings negative impacts on children’s psychological, social, and moral development. This study aims to analyze the restriction of social media use among children from the perspective of Jürgen Habermas, especially regarding the concepts of the public sphere, communicative rationality, and the colonization of the lifeworld. This research uses a literature study method with a qualitative descriptive approach through the collection and analysis of relevant scientific articles. Data validity was strengthened through inclusion and exclusion criteria as well as source triangulation. The findings indicate that social media use among children has an ambivalent impact. Positive effects can emerge when there is strong parental supervision, while weak supervision increases the risk of exposure to harmful content, psychological problems, and reduced quality of social interaction. Restricting social media use through time regulation, content control, and digital education is considered important for protecting children’s development. From Habermas’s perspective, children are vulnerable in the digital public sphere because of their limited communicative rationality. Therefore, restrictions are viewed as efforts to protect children’s values and rationality from distortion by the digital media system.

This study aims to analyze the impact of bullying on adolescents’ mental health through a literature review. The method used is a literature review, which involves the collection and analysis of various relevant scientific articles published in the last five years.  Data were obtained from journals and related scientific works, then systematically analyzed to identify patterns of association between bullying and adolescents’ mental health. The results of the review indicate that the majority of studies reveal a negative impact of bullying on mental health, such as the emergence of anxiety, depression, stress, low self-esteem, and difficulties in social interaction. However, some studies found that this relationship was not statistically significant, suggesting the role of other factors, such as social support, family circumstances, and an individual’s ability to cope with stress. In addition to affecting victims, bullying also impacts perpetrators and bystanders, making it a complex phenomenon. Therefore, comprehensive prevention and intervention efforts are needed through collaboration between schools, families, and the community.