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Stunting is a health issue that remains a concern for the government, particularly in supporting the achievement of the Sustainable Development Goals (SDGs), namely the nutritional status of children under five. Stunting, or chronic malnutrition, causes children to fail to grow, which is influenced by mothers' knowledge of nutritional fulfillment in children, especially from the first 1,000 days of birth until the child is 2 years old. The purpose of this study was to determine the effect of health education on parents in preventing stunting in Sumeith Pasinaro Village. The targets of this study were pregnant and breastfeeding mothers and parents who had children aged 1-5 years. This study used a One Group Pre-test-Post-test design with paired sample t-test analysis. There were 12 participants in the activity. Data were collected through a multiple-choice questionnaire administered before and after the socialization with the material “Prevent Stunting from the Heart.” The average pre-test score of the participants was 6.75 and then increased to 9.33 on the post-test, with a difference of 2.58. The paired sample t-test results showed a Sig. (2-tailed) value of 0.014 (< 0.05), indicating a significant increase in participants' knowledge after receiving education. Therefore, health education through socialization activities is effective in increasing mothers' knowledge about stunting prevention. Activities like this are important to continue as an effort to reduce the incidence of stunting in the community.

Background: Sexually Transmitted Infections (STIs) represent a global public health challenge. The increasing number of Sexually Transmitted Infection (STI) cases is a serious concern worldwide. A lack of education or minimal knowledge, along with risky behavior, contributes significantly to the high STI rates, particularly among the young age group. Purposes: The objective of this study is to conduct a comprehensive analysis of the major types of Sexually Transmitted Infections (STIs)—namely Gonorrhea, Hepatitis B, HIV/AIDS, Syphilis, and HPV—by identifying their risk factors and determining the most effective prevention strategies. Method:The researchers employed a literature review method. The data search process was conducted systematically on Google Scholar, limiting sources only to articles available in full text and having open access. Results: The literature review concludes that the factors of knowledge, attitude, behavior, and age significantly influence an individual's risk of contracting Sexually Transmitted Infections (STIs). Therefore, prevention efforts must be carried out comprehensively, encompassing promotive (awareness enhancement), preventive (prevention), curative (treatment), and rehabilitative (recovery) activities. Practically, this prevention must include sexual health education, adoption of safe sexual behavior, implementation of routine health checks (screening), and vaccination (specifically for Hepatitis B and HPV). Conclusion: Overall, controlling the spread of STIs requires active and collaborative roles from all parties—including the government, health workers, and the community. The main key to suppressing the spread and burden of STI diseases in the community is through improving appropriate sexual health education, improving access to health services, and periodic health screening.  

The development of Artificial Intelligence (AI) has significantly influenced the formation of contracts in civil law, particularly through the automation of clause drafting, risk analysis, and the standardization of contractual documents. The use of AI in contract drafting raises complex legal issues, especially concerning the validity of agreements and the attribution of legal liability in the event of default. This study aims to analyze the validity of contracts created through Artificial Intelligence from the perspective of Indonesian civil law and to examine models of legal liability in AI-based contracts. This research employs a normative legal method with statutory and conceptual approaches, examining the provisions of the Indonesian Civil Code, particularly Article 1320, as well as legal doctrines and scholarly perspectives on digital contracts and AI. The findings indicate that AI-based contracts are, in principle, legally valid as long as they fulfill the requirements of a valid agreement, namely the consent of the parties, legal capacity, a specific object, and a lawful cause. Artificial Intelligence cannot be positioned as a legal subject because it lacks intent, consciousness, and the capacity to bear rights and obligations, and therefore functions solely as a technological tool. Consequently, legal intent and liability remain attached to the human or legal entity that uses, controls, or benefits from AI. This study also emphasizes that the primary challenge of AI-based contracts lies in the absence of specific legal regulations governing the allocation of liability among AI users, system providers, and developers, particularly when default occurs due to algorithmic errors or system failures. Therefore, clearer, adaptive, and comprehensive regulations are required to ensure legal certainty, protect the parties involved, and maintain a balance between technological innovation and the principles of justice in AI-based contractual practices in Indonesia.

Acute pain is a complex phenomenon frequently experienced by post-surgical patients. If not properly managed, it can hinder the recovery process and increase the risk of chronic complications. This study aims to conduct an in-depth analysis of the concept of acute pain in surgical patients from a nursing perspective to improve the quality of care. The method used was a narrative literature review, analyzing various research articles and clinical protocols related to surgical pain management. The study findings indicate that acute post-surgical pain involves sensory and emotional dimensions influenced by the type of surgical procedure, individual pain threshold, and the effectiveness of pharmacological and non-pharmacological interventions. Furthermore, the role of nurses in conducting accurate pain assessments and patient education is a key factor in successful pain management. The implications of this study emphasize the importance of implementing integrated multimodality pain management protocols and improving nurses' competency in conducting intensive monitoring. Optimizing pain management is expected to accelerate patient mobilization, shorten hospital stays, and increase patient satisfaction with nursing services.

This study examines the implementation of the Manak Salah tradition in Padang Bulia Customary Village from the perspectives of legal certainty and human rights protection. Manak Salah is a customary practice associated with the birth of opposite-sex twins, which in Balinese Hindu cosmology is considered a sacred event that may disrupt the balance between the sekala and niskala realms, thereby requiring purification rituals. Although the contemporary practice of this tradition has become more humane and no longer involves social exclusion, its regulation remains unwritten and has not been formally codified in the village’s Awig-awig (customary law). This condition creates the risk of multiple interpretations, legal uncertainty, and insufficient protection of the rights of children and affected families. This research employs an empirical juridical method with a qualitative approach, using interviews with customary leaders, field observations, and document analysis of statutory regulations and customary legal sources. The findings reveal that the absence of written norms causes the implementation of Manak Salah to rely heavily on the discretion of customary authorities, leading to potential inconsistency and normative vulnerability. This study emphasizes the urgency of codifying the Manak Salah tradition into the Awig-awig as a form of customary law reform aimed at ensuring legal certainty, strengthening institutional accountability within customary villages, and harmonizing customary law with Bali Provincial Regulation No. 4 of 2019 and fundamental human rights principles.

The informal trading of Mobile Legends: Bang Bang game accounts through social networking platforms has expanded rapidly alongside the acceleration of digital technology and the growing integration of online gaming into contemporary lifestyles, particularly among younger demographics. Game accounts characterized by high competitive rankings, exclusive virtual assets, and accumulated in-game achievements have increasingly been commodified and exchanged through social media channels such as Facebook, Instagram, and TikTok, predominantly utilizing electronic payment instruments, including digital wallets. Despite its widespread practice, this form of transaction frequently generates legal complications, most notably in relation to consumer protection. Buyers are often exposed to substantial risks, including fraudulent representations, discrepancies between promised and actual account specifications, unauthorized resale, and the revocation of account access after payment completion. This study seeks to critically examine the legal framework governing the trading of Mobile Legends accounts and to assess the extent to which consumer protection mechanisms are afforded under Law Number 11 of 2008 concerning Electronic Information and Transactions and Law Number 8 of 1999 concerning Consumer Protection. Employing a normative juridical research design, this study applies statutory and conceptual approaches supported by the analysis of primary, secondary, and tertiary legal materials. The findings indicate that consumer protection within online game account transactions remains structurally insufficient, primarily due to the absence of explicit legal recognition of digital game accounts as legally protected objects. Consequently, the study underscores the necessity of adopting progressive legal interpretation and formulating specific regulatory instruments to enhance legal certainty and ensure more effective consumer protection within the evolving landscape of digital transactions.

This research investigates the development of IT-based Automatic Identification System (AIS) data surveillance models supporting maritime safety through integration of advanced information technology, maritime engineering principles, and human factors optimization. AIS technology generates vast real-time vessel movement data creating unprecedented opportunities for safety enhancement through systematic surveillance, collision risk detection, traffic pattern analysis, and incident prevention, yet effectiveness depends critically on intelligent data processing algorithms, reliable IT infrastructure, and competent personnel capable of interpreting surveillance outputs and taking appropriate actions. Through qualitative analysis involving maritime safety authorities, vessel traffic service (VTS) operators, port authorities, marine engineers, IT specialists, data scientists, and maritime training institutions, this study examines how IT-based surveillance models incorporating pattern recognition, anomaly detection, predictive analytics, and crew-centered interfaces can transform maritime safety management from reactive incident response toward proactive risk prevention. Results demonstrate that intelligent AIS surveillance can identify 75-90% of high-risk situations 15-45 minutes before critical events, reduce collision risks by 60-80%, improve traffic management efficiency by 35-55%, and enhance crew situational awareness by 45-65% when integrated with appropriate training programs developing personnel competencies in data interpretation, system operation, and coordinated response. Key implementation challenges include data quality and completeness issues, computational infrastructure requirements, algorithm development complexity, personnel competency gaps requiring substantial training investments, organizational coordination barriers, and privacy/security concerns. Findings reveal that successful AIS surveillance implementation requires holistic sociotechnical approaches integrating IT systems engineering, maritime domain expertise, and human capability development through coordinated design, deployment, and training strategies. This research contributes to maritime safety literature by providing integrated frameworks for IT-based surveillance systems incorporating technical capabilities, operational requirements, and human factors supporting evidence-based safety management.

This study aims to evaluate the level of heavy metal pollution and the potential ecological and human health risks in the waters of Selangan, Bontang City. The research focuses on analyzing the concentrations of iron (Fe) and mercury (Hg) in sediment, considering that both elements are toxic, persistent, and capable of bioaccumulating within the food chain. The study was conducted over six months, from January to June 2023, at four sampling stations representing the environmental conditions of Selangan waters. The methodology included sediment sampling, sample preparation through drying and grinding, and laboratory analysis using Inductively Coupled Plasma–Optical Emission Spectrometry (ICP-OES) to determine Fe concentrations. The results were then compared with quality standards established by the Washington Annotated Code 173-204-320 and Indonesia’s National Agency of Drug and Food Control (BPOM) Regulation No. 5 of 2018. The findings indicate the presence of heavy metal contamination across all sampling stations. Fe concentrations ranged from 2.35 mg to 6.308 mg, significantly exceeding the permissible limit of 0.3 mg/L. Meanwhile, Hg concentrations ranged from 0.015 mg to 0.028 mg, also surpassing the standard threshold of 0.001 mg/L. These results clearly demonstrate heavy metal pollution in the Selangan waters, posing potential threats to marine ecosystem health and coastal communities. Regular monitoring and mitigation measures are urgently recommended to prevent further environmental degradation.

This study examines the relationship between risk disclosure levels and profitability in transportation companies listed on the Indonesia Stock Exchange (IDX) during the 2022–2024 period. The transportation industry is characterized by high exposure to operational, financial, regulatory, and market-related risks, which necessitates transparent and comprehensive communication regarding potential threats to business sustainability and long-term performance. Using a quantitative correlational approach, this study measures the level of risk disclosure through systematic content analysis of companies’ annual reports, while profitability is evaluated using the Return on Assets (ROA) indicator. The analysis is conducted to identify the extent to which transparent risk reporting contributes to improved financial outcomes. The findings indicate a significant positive relationship between risk disclosure and profitability, suggesting that companies providing more comprehensive and detailed risk information tend to achieve higher financial performance. Furthermore, the results demonstrate that transparency plays a crucial role in enhancing investor confidence, strengthening corporate governance, and supporting sustainable business practices, particularly in high-risk sectors such as transportation.

Micro, Small, and Medium Enterprises (MSMEs) are a vital pillar of the Indonesian economy, contributing 61% to GDP and employing 97% of the workforce. Despite their importance, MSMEs face a high failure rate of 78–80%, with financial management problems accounting for 82% of failures. This study aims to analyze and prove the influence of risk management on the success of entrepreneurial efforts in MSMEs, while also measuring its contribution in explaining variations in business success. Using a quantitative approach with a survey method, the research involved 100 purposively selected respondents who met criteria of operating for at least two years and employing at least one worker. Data analysis included validity and reliability tests, classical assumption tests, simple linear regression, t-test, and coefficient of determination (R²). Results confirmed that all instruments were valid and reliable, with data meeting normality and heteroscedasticity assumptions. Regression analysis produced the equation Y = 5.428 + 0.724X, showing that risk management positively influences business success. The t-test confirmed significance, while R² = 0.403 indicated that risk management explains 40.3% of success variation. The findings conclude that effective risk management significantly enhances MSME sustainability and entrepreneurial success.

Bullying remains a critical issue in elementary school environments and significantly affects students’ social-emotional development. The lack of confidence among students to report negative experiences often results in bullying cases remaining undetected. This study aims to describe the implementation of Padlet as a reflective digital tool to encourage students’ self-expression and to analyze students’ reflections as indicators of a safe and supportive learning climate. This research employed a descriptive qualitative approach involving 14 sixth-grade students at SD Negeri 3 Demulih. Data were collected through reflective Padlet posts, activity documentation, and thematic deductive analysis based on the Aggression Continuum Theory. The findings reveal three categories of social interaction: (1) high-risk behaviors related to dominance and indicators of bullying, (2) medium-risk interactions involving verbal teasing normalization and ambiguous conflicts, and (3) low-risk interactions indicating positive peer relations and social needs. Padlet proved effective as a safe digital space for students to express emotional experiences anonymously and facilitated early identification of potential bullying. These results highlight the importance of utilizing reflective digital platforms to foster preventive, inclusive, and psychologically secure classroom environments.

This research aims to compare modern international trade theories from conventional and Islamic economic perspectives. The technique used is a literature review through the analysis of sources from journals, books, and related research. The findings of this research indicate that international trade theory in the conventional perspective prioritizes efficiency, specialization, and increased profits through free market mechanisms, such as the theory of absolute advantage, comparative advantage, the H-O factor proportion, and the theory of large-scale economies. However, this approach often overlooks moral aspects, distributional justice, and the risk of exploitation. On the other hand, the Islamic perspective views trade as a muamalah activity based on justice, trustworthiness (amanah), the prohibition of riba (interest), gharar (uncertainty), and maisir (gambling), as well as the objectives of maqasid sharia (the objectives of Sharia). Both views recognize the importance of trade for economic growth but differ in their basic values and ethics. In today's era of globalization and digitalization, the importance of integrating Islamic values into international trade is increasingly understood. This aims to build a more just, sustainable, and inclusive trading system. This research emphasizes the need to apply Sharia principles in contemporary trade practices, including the application of Islamic financial instruments, the development of halal e-commerce platforms, and ethical oversight within global supply chains. In this way, it is hoped that international trade can provide broader benefits to all of humanity, in accordance with the principles of justice and welfare in Islam. The interconnectedness of both approaches in the digital context demonstrates the need to unite Islamic moral values with changes in today's global trade.

Cryptocurrency has become a rapidly developing digital asset class that attracts widespread investor interest due to its decentralized, anonymous, and highly volatile nature. Such volatility creates uncertainty in market movements, making it important to understand the factors that drive fluctuations in returns. This research aims to examine how fundamental indicators namely price, trading volume, and market capitalization affect return volatility, as well as to determine which cryptocurrency demonstrates the highest market efficiency based on risk assessment. The study uses panel data covering the five largest cryptocurrencies by market capitalization (Bitcoin, Ethereum, Tether, USD Coin, and Binance Coin) over the period 2019–2023. The analytical methods applied include panel data regression to identify the determinants of volatility and Value at Risk (VaR) to measure asset risk and efficiency. The findings show that price and trading volume positively and significantly increase return volatility, whereas market capitalization exerts a negative and significant effect, indicating its stabilizing role. Based on VaR analysis, Binance Coin (BNB) emerges as the asset with the highest market efficiency. The study concludes that fundamental indicators play a crucial role in shaping volatility and that BNB offers relatively better risk performance compared to its peers.

Advances in in vitro fertilization (IVF) technology have expanded the scope of reproductive interventions, from simply addressing infertility to enabling genetic selection of embryos through preimplantation genetic testing (PGT). This advancement not only enables the detection and prevention of severe genetic diseases, but also opens up opportunities for the selection of non-medical traits such as intelligence potential, physical characteristics, or specific polygenic scores, giving rise to the phenomenon of “designer babies.” This development presents complex bioethical issues related to human dignity, social justice, biological safety, and the right of children to have an open future. This paper aims to analyze the ethical issues of selecting non-medical characteristics of embryos in modern IVF through a literature review using a biomedical ethics framework, including the principles of autonomy, beneficence, non-maleficence, and justice. The findings show that the application of technology for non-medical purposes is still fraught with scientific risks, biological uncertainties, the potential for commercialization of humans, and the threat of socio-biological inequality. This analysis emphasizes the need to restrict the use of technology to clear medical indications, increase regulation and governance, and involve the public in policy formulation. Thus, advances in reproductive technology must be accompanied by strict ethical considerations so as not to sacrifice individual dignity and the value of justice in society.

This study examines community capacity building for flood mitigation in flood-prone regions of Central Kalimantan through disaster education, technical training, and the construction of an amphibious house prototype. Using a community-based disaster risk reduction (CBDRR) framework, the program integrates participatory training, field surveys, and adaptive structural innovation. Findings indicate a 40% increase in community knowledge based on  Community Empowerment Level Analysis results, active engagement of 35 participants in disaster education, and significant improvement in technical skills among 22 trainees involved in amphibious foundation construction. The prototype achieved 100% completion within four effective working days, demonstrating the feasibility of amphibious technology using locally available materials. Strengthening youth organization structures further enhances community readiness and institutional resilience. Overall, the integration of participatory learning and adaptive technology effectively builds community self-efficacy and disaster preparedness in flood-prone environments.

Adolescent girls' adherence to taking iron tablets is still lacking, iron intake is very important to prevent anemia. Based on the 2018 Riskesdas, the coverage rate of iron tablets is 76.2%, but the awareness of adolescent girls of the importance of preventing anemia by consuming iron tablets is still low. One way to increase compliance with taking blood supplement tablets is by utilizing peer group education. This study aims to determine the effect of peer group education in an effort to increase adherence to taking blood tablets for adolescent girls. This is a quantitative pre-experimental study using One-Group Pretest-Posttest Design. The population was all students of class XI SMAN 1 Godean. Simple random sampling technique with a sample size of 58 female students. Education time was 40 minutes with peer educators in each group. Data analysis using the Wilcoxon test with the results of compliance with iron tablet consumption before education in adolescent girls at SMA Negeri 1 Godean in the category of non-compliant as many as 51 people (87.9%) and compliant as many as 7 people (12.1%), compliance with iron tablet consumption after education has increased in the category of compliant as many as 16 people (27.6%) and non-compliant as many as 42 people (72.4%). In the Wilcoxon Test, the results obtained p = 0.013, therefore it was concluded that there was an effect of peer group education on increasing compliance with blood supplementation tablet consumption in adolescent girls of SMA Negeri 1 Godean.

RFID (Radio Frequency Identification)-based biohacking has evolved as a body modification practice that integrates technology directly into human biology. While the practice has historical roots dating back to World War II when RFID was used to identify aircraft, its development toward human implantation began in the late 20th century and has become more widespread with society's increasing reliance on digital technology. Analysis of the principle of beneficence reveals that although RFID implantation can increase user convenience, comfort and security, these benefits are not yet fully supported by adequate scientific evidence regarding long-term safety. Meanwhile, the principle of non-maleficence highlights the risks of infection, tissue damage, interference with radiological examinations, and publications regarding other medical complications resulting from implantation, which is generally performed by non-medical personnel. Through historical, technical, and ethical reviews, this research emphasizes the need for a clearer regulatory framework, increased bioethical literacy, and the involvement of healthcare professionals in implantation to ensure that technological developments do not compromise human safety and well-being

The use of Large Language Models (LLMs) in scientific research is becoming increasingly widespread, but presents epistemic risks that are not yet fully understood. This article discusses how the probabilistic mechanisms of LLM can produce outputs that appear correct and justified but are actually dependent on epistemic luck, thus resembling the Gettier case pattern. Through a conceptual study approach, this research clarifies concepts, analytically reconstructs the generative structure of LLM, and conducts a normative analysis of its implications for scientific accountability and authorship. The results of the analysis show that Algorithmic Gettier Cases (AGCs) occur when linguistic coherence deceives users and creates the impression of justification, even though the truth that emerges is statistical coincidence and is not supported by valid causal relationships. This condition poses a serious challenge to the attribution of knowledge and author responsibility in the production of academic texts. To address this issue, this article proposes the principle of Hyper-Justification Obligation, which is the ethical obligation for researchers to actively verify and causally reason every AI output before using it in scientific works. This research provides a theoretical contribution to understanding the epistemic risks of LLM and offers an ethical foundation for academic practice in the era of generative AI.

Website security is an important aspect of designing a website and managing web systems. However, many developers still pay little attention to security aspects from the early stages of development. In fact, the website that has been built will be the target of attacks by hackers at any time. Therefore, this research aims to analyze the vulnerability of the SMAN 1 Banjar Agung website based on the OWASP Top 10 standard. The research method was conducted through vulnerability assessment using OWASP ZAP tools with the stages of spidering, passive scanning, and active scanning. This test allows identification of vulnerabilities such as SQL Injection, Cross-Site Scripting (XSS), and security configuration weaknesses. The scan results showed eight vulnerabilities, consisting of two medium, three low, and three informational vulnerabilities. Although the risk level is low, the website still requires mitigation through the application of security headers, dependency updates, and removal of sensitive information to make the system more secure and stable.

Guaranteeing the geotechnical stability of slopes is an absolute prerequisite for the sustainability of open pit mining operations, considering the potential for multidimensional losses due to slope failure. The specific geological conditions at PIT B1 PT. Pancaran Surya Abadi, which is composed of sedimentary rocks (coal, sandstone, and claystone), are susceptible to degradation and softening, especially due to high rainfall that causes an increase in pore water pressure and a decrease in rock shear strength. This study aims to analyze the stability of highwall slopes using the Morgenstern-Price Method to determine the Safety Factor (SFF) value according to Ministerial Decree number 1827 K/30/MEM/2018, and continued with a semi-quantitative risk analysis. The analysis results show that the initial slope has a static SFF of 0.77 (Not Safe). After redesign, the recommended optimal single slope geometry is: sandstone (Height 5 m, Angle 20°, Berm 5 m) and claystone (Height 10 m, Angle 60°, Berm 5 m). This redesign resulted in a FK of 1.34 (Safe). Sensitivity analysis to groundwater level rise (GTL) showed that the GTL value remained safe (GTL ≥1.30) up to a 30% increase in GTL. However, a 40% to 80% increase in GTL caused the GTL to decrease (1.28–1.21), classified as Medium Risk. A 100% increase in GTL drastically reduced the GTL to 1.05, classified as High Risk. This study emphasizes the need for close monitoring and additional drainage to maintain the long-term stability of slopes under the influence of rainfall.