Abstract:Community Service (Pengabdian Kepada Masyarakat-PKM) is a fundamental implementation of the Tri Dharma of Higher Education. This activity aims to address the need for strong motivation and discipline among Vocational High…
h School (Sekolah Menengah Kejuruan - SMK) students, particularly those majoring in Accounting, as crucial preparation for entering the workforce or continuing their education. This PKM was conducted through an interactive socialization session involving 12th-grade Accounting students at SMKN 3 Karawang, using presentation, discussion, and Question & Answer methods. The results indicate a significant increase in participants' enthusiasm and understanding of accounting principles, career prospects, and professional ethics. Furthermore, the activity successfully fostered a collaborative partnership between the university and the school, while also enhancing the social skills of the implementing student team. In conclusion, this socialization proved to be an effective medium for knowledge and motivation transfer. It is recommended that similar initiatives be developed sustainably and expanded in scope to maximize their positive impact.
Abstract:This study aims to investigate the integration of Artificial Intelligence (AI)-based learning media to enhance reading literacy among elementary school students. Using a descriptive qualitative approach through case study…
y and literature analysis, the research was conducted at SDN No. 100311 Palsabolas, involving teachers and students who utilized adaptive reading applications, text-to-speech tools, and intelligent learning platforms. Data were collected through observation, semi-structured interviews, and document analysis, and validated by triangulation techniques. The findings reveal that AI-assisted media significantly improve students’ reading motivation, comprehension, and fluency. Quantitative comparison between pretest and posttest results showed notable progress, with the average literacy score increasing by 16–27 points across different indicators. Students demonstrated greater engagement and independence, while teachers benefited from automated performance analytics and personalized feedback tools. However, challenges emerged related to device limitations, technical competence, and overreliance on automated features. The study concludes that AI-based learning media serve not only as technological tools but also as pedagogical instruments that personalize instruction, foster digital literacy, and transform reading classrooms into more adaptive, interactive, and student-centered environments.
Abstract:Appendicitis is an acute inflammatory condition of the appendix that requires prompt surgical intervention and comprehensive perioperative nursing care to prevent complications. This study aims to describe the application…
n of perioperative pain management in a patient with appendicitis at UPT RSUD Labuang Baji Makassar. A descriptive case study design is employed using a perioperative nursing care approach covering preoperative, intraoperative, and postoperative phases. The subject is a 44-year-old male patient diagnosed with appendicitis who undergoes appendectomy. Data are collected through interviews, observation, physical examination, and documentation, with pain assessed using the Numeric Rating Scale. Nursing interventions focus on non-pharmacological pain management, including deep breathing relaxation in the preoperative phase and Benson relaxation therapy in the postoperative phase. The results show a decrease in pain intensity and anxiety before surgery, effective control of intraoperative bleeding, and gradual reduction of postoperative pain accompanied by improved tissue integrity and patient knowledge. This case study demonstrates that appropriate non-pharmacological nursing interventions effectively support perioperative pain management and enhance patient recovery in appendicitis cases.
Abstract: Abstract Patient safety incidents remain a critical healthcare problem in Indonesia, particularly within hospital settings. Patient safety goals are an essential priority for healthcare providers, especially nurses, who…
ses, who serve as the frontline workforce delivering continuous care. Optimal implementation of patient safety goals requires adequate knowledge, supportive attitudes, and strong professional performance from nurses. Effective adherence to these goals plays a key role in preventing adverse events that may harm or endanger patients. This study aimed to examine the relationship between nurses’ knowledge and attitudes with the implementation of Patient Safety Goals in a private hospital in West Sumatra, Indonesia. A descriptive quantitative method with a cross-sectional design was used. A total of 35 nurses were selected through total sampling. Data were collected using validated questionnaires (KPSQ, APSQ, IPSG I–VI). Statistical analysis employed the Chi-Square test with a significance level of p < 0.05. Results showed that more than half of the nurses demonstrated good knowledge (51.4%), positive attitudes (57.1%), and good implementation of patient safety goals (54.3%). Chi-Square analysis revealed significant associations between knowledge and patient safety goal implementation (p=0.044<0.05), as well as between attitudes and patient safety goal implementation (p=0.012). The study concludes that nurses’ knowledge and attitudes are significantly related to the implementation of patient safety goals. Continuous training and regular dissemination regarding patient safety standards are recommended to strengthen nurses’ adherence to SOPs and to enhance the overall patient safety culture within the hospital.
Keywords : Knowledge; Attitudes; Patient Safety Goals; Nurses; Hospital
Abstract:Adolescents are a vulnerable group to the risks of sexual violence and HIV transmission due to limited sexual literacy, insufficient access to accurate reproductive health information, and strong socio-cultural taboos surrounding…
rrounding sexuality. Comprehensive interventions are needed to equip adolescents with adequate knowledge, attitudes, and gender-sensitive decision-making skills. This study aimed to analyze the effectiveness of a PLISSIT-based Comprehensive Sexual Education intervention in improving adolescents’ attitudes toward HIV transmission prevention from a gender equality perspective. This quasi-experimental study involved 100 students selected through simple random sampling and divided into experimental and control groups. The experimental group received four PLISSIT-based educational sessions integrating gender equality principles, while the control group received conventional sexual education. Data were collected using pre- and post-test questionnaires and analyzed using the Wilcoxon signed-rank test. The results showed a substantial improvement in adolescents’ attitudes after the intervention. Prior to the intervention, only 18% of students demonstrated good attitudes toward HIV prevention, while 82% were categorized as poor. After the intervention, 90% of students in the experimental group showed good attitudes, and only 10% remained in the poor category, with a statistically significant difference (p = 0.001). These findings indicate that the PLISSIT-based comprehensive sexual education model is effective in shaping positive attitudes by providing a safe space for discussion, relevant information, and gender-responsive guidance. In conclusion, the PLISSIT-based intervention significantly enhances adolescents’ attitudes toward HIV prevention and can serve as a strategic approach in school-based reproductive health education.
Abstract:This study aims to analyze the influence of multi-stakeholder collaboration on the resilience of tourism activities and to examine the mediating role of sustainable tourism management within a community-based tourism village…
lage context. A quantitative explanatory research design was employed, using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research was conducted in Nglanggeran Tourism Village, Special Region of Yogyakarta, Indonesia, with data collection carried out in 2025. A total of 90 respondents were selected through purposive sampling based on their active involvement in village tourism activities. The three main constructs, namely multi-stakeholder collaboration, sustainable tourism management, and tourism activity resilience, were measured using a 5-point Likert scale instrument. PLS-SEM analysis was employed to evaluate the measurement and structural models, encompassing assessments of validity, reliability, R², Q², and hypothesis testing via bootstrapping. Findings indicate that multi-stakeholder collaboration has a positive and significant effect on both sustainable tourism management and tourism activity resilience. Sustainable tourism management also shows a positive and considerable influence on tourism activity resilience. Furthermore, a partial mediation effect was identified, wherein sustainable tourism management strengthens the impact of multi-stakeholder collaboration on the strength of tourism activities. Structured and inclusive multi-stakeholder collaboration, when integrated with sustainable tourism management practices, enhances the resilience of tourism activities in community-based destinations. These results underscore the crucial importance of collaborative governance and sustainable management practices in fostering destination sustainability and resilience.
Abstract:This research examines how decentralization policy in Indonesia shapes public administration strategies in tourism destination development across two major cities in West Sumatera: Padang City and Bukittinggi City, which…
possess distinct geographical characteristics, governmental structures, and fiscal capacities. Through a comparative literature study finds that Padang City adopts a coastal modernization strategy oriented toward infrastructure and MICE (Meetings, Incentives, Conventions, and Exhibitions), whereas Bukittinggi City develops a heritage conservation and community based governance approach. Decentralizations demonstrates a characteristics of asymmetrical governance, where fiscal capacity and geographical context significantly determine the local government’s ability to formulate tourism strategies. This study contributes to the theory of destination governance and decentralizations by ooffering the perspective that regional autonomy does not automatically enhance policy effectiveness: rather, it must be supported by institutional capacity, collaboration, and policy fit with the unique characteristics of the tourist destination.
Abstract:The CCTV industry continues to grow rapidly and is projected to reach a global market value of USD 75 billion by 2025. Amid strong competition from international players such as Hikvision and Dahua, PT Telkom Indonesia seeks…
eeks to strengthen the position of its Antares Eazy CCTV product in the B2B market. This study analyzes the determinants of Purchase Intention toward Antares Eazy using the PLS-SEM approach, focusing on Service Quality, product quality, Pricing, Trust, and Brand Awareness as a moderating variable. Data were collected from 47 companies that use or potentially use CCTV solutions. The findings demonstrate that Service Quality, product quality, and Pricing exert significant effects on Trust, which subsequently influences Purchase Intention. Brand Awareness reinforces this relationship. The findings highlight the need for improved after-sales service, product enhancement, and more competitive Pricing strategies to strengthen Antares Eazy’s competitiveness in the B2B CCTV market.
Abstract:Corruption, as an organized and transnational crime, demands a more effective asset recovery mechanism than the conventional criminal approach currently applied in Indonesia. The limitations of criminal law instruments in…
n tracing, confiscating, and repatriating assets that have been transferred, concealed, or placed outside national jurisdiction form the central background for the urgency of the Asset Forfeiture Bill. This study aims to analyze the concept of asset forfeiture for corruption cases through the non-conviction based forfeiture mechanism and assess the alignment of the Asset Forfeiture Bill with international standards, particularly the UNCAC. The research employs a normative legal method through an examination of legislation, academic literature, international documents, and comparative best practices. The findings indicate that the Bill introduces a new enforcement paradigm through in rem procedures, an integrated asset-tracing system, civil judicial control, and transparent asset management. The discussion reveals that although the Bill has significant potential to enhance state asset recovery, its implementation requires strengthened evidentiary standards, protection of property rights, and improved inter-agency coordination. The study concludes that the Asset Forfeiture Bill represents a strategic instrument for improving the effectiveness of anti-corruption efforts, yet its success depends on procedural safeguards, transparency in asset administration, and the institutional capacity of law enforcement bodies.
Abstract:This study explores how incorporating artificial intelligence improves institutional resilience and overcomes the rigidity of conventional, data-based methods to alter financial risk management. To find patterns in AI applications,…
applications, resilience theory, and integration pathways, a qualitative systematic literature review was carried out utilizing theme synthesis in accordance with PRISMA peer-reviewed protocols. Findings show that AI techniques, machine learning for tail-risk detection, deep learning for high-frequency forecasting, and explainable AI for transparent decisions, yield up to 28% reductions in forecasting errors and halve recovery times during crises. The hybrid CNN Transformer architectures and transformer-based NLP models significantly enhance predictive accuracy and forward-looking insights. The study suggests financial institutions adopt integrated AI frameworks, invest in data quality and human–AI collaboration, and implement principle-based governance to balance innovation with fairness and stability. Limitations include reliance on published literature and limited representation of emerging AI models, warranting future longitudinal and context-specific empirical research.