Abstract:The increasing threat of emerging and re-emerging infectious diseases necessitates the strengthening of the capacity of the Health Laboratory (Labkes) network, including Public Health Laboratories (Labkesmas), through the…
e availability of competent and standardized laboratory human resources (HR). Polymerase Chain Reaction (PCR) testing has become the primary diagnostic method for pathogen detection, both in routine services and in public health emergency situations. The development of a PCR training curriculum and modules by the Center for Health Biology Laboratory (BBLBK) represents a strategic step toward standardizing the competencies of laboratory personnel. This article aims to describe the urgency of implementing certified PCR training policies as part of a national system for enhancing the competence of health laboratory human resources. The writing method employs policy analysis based on document review and the framework of national health regulations. The analysis results indicate variations in laboratory personnel competencies, the absence of a national certification scheme, limited availability of trainers, and the need for continuous curriculum updating. Certified PCR training is therefore recommended as a national instrument for fulfilling competency standards in health laboratories. The integration of training into the health human resource development system, along with the strengthening of quality- and safety-based approaches, is key to the successful implementation of this policy.
Abstract:This study explores the role of brand image, price, promotion, and distribution channels in shaping consumer purchasing decisions for domestically produced industrial LED lighting products. A quantitative research approach…
ch was employed using a survey method, with data analyzed through multiple linear regression. The findings indicate that the proposed model is statistically significant, demonstrating that all marketing mix elements jointly influence purchasing decisions. Each variable also shows a positive and significant individual effect, with distribution channels emerging as the most influential factor in driving consumer decisions. This suggests that ease of access, product availability, and effective distribution play a critical role in the adoption of industrial LED products. The novelty of this research lies in empirically integrating marketing mix factors within the context of domestically manufactured LED products, an area that has received limited scholarly attention. The study offers practical implications for manufacturers, emphasizing the importance of strengthening distribution strategies and aligning pricing and promotional efforts to enhance consumer purchasing decisions
Abstract:This study examines the influence of social media marketing and brand image on purchase intention, with consumer boycott participation incorporated as a moderating variable, using Rosé All Day Cosmetics as the empirical…
context. Grounded in the Stimulus–Organism–Response (S-O-R) framework, a quantitative approach was employed by collecting survey data from 385 consumers in Jabodetabek and Bandung City areas, which were analyzed using PLS-SEM. The results reveal that both social media marketing and brand image have positive and significant effects on purchase intention. However, boycott participation does not moderate the relationship between social media marketing and purchase intention, while it exerts a significant negative moderating effect on the relationship between brand image and purchase intention. These findings suggest that although digital marketing and brand image remain key drivers of consumer purchase intention, moral and social considerations reflected in boycott participation can weaken the effectiveness of brand image in influencing consumer decisions. This study contributes to the literature by highlighting the contextual role of consumer boycotting in shaping marketing effectiveness within the digital beauty industry in emerging markets.
Abstract:The study of al-ʿawāmil al-naḥwiyyah (grammatical factors) serves as a primary foundation in Arabic grammar, examining the relationship between the ʿāmil (governing agent) and the maʿmūl (governed element) as the mechanism…
mechanism determining iʿrāb (inflection) within Arabic sentence structures. This article aims to comprehensively analyze the classical theory of the ʿāmil concept as formulated by early grammarians—notably al-Jurjānī in Al-ʿAwāmil al-Mi’ah—and examine the debates emerging between the Basra and Kufa schools regarding the source and authority of the ʿāmil. Utilizing a qualitative-descriptive analytical approach toward primary and secondary literature, this research explores the epistemological arguments underlying the construction of the ʿāmil theory and assesses its relevance to modern critiques in Arabic linguistics. The findings indicate that the ʿāmil concept is not merely a grammatical instrument but also possesses philosophical value in explaining the order and rationality of the Arabic language. However, modern critiques—particularly from structural and generative linguistic perspectives—question the metaphysical assumptions of the ʿāmil concept, which are deemed non-empirical. Nonetheless, the theory of ʿāmil maintains methodological significance in understanding Arabic syntactic relationships and the development of contemporary grammatical theories. This article emphasizes the necessity of a conceptual reinterpretation of al-ʿawāmil al-naḥwiyyah to remain relevant within modern linguistic paradigms without losing its classical essence.
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.
Abstract:This study investigates the influence of gender, family economic background, and entrepreneurship education on the entrepreneurial interest of vocational high school students in Depok. Using a quantitative explanatory design,…
sign, data were collected from 123 students via structured questionnaires and analyzed through t-tests, F-tests, and multiple linear regression. The results show that all three variables positively affect entrepreneurial interest, with entrepreneurship education emerging as the strongest predictor (β = 0.641, p < 0.001), followed by family background (β = 0.239, p = 0.006) and gender (β = 0.228, p = 0.012). These findings indicate that students’ entrepreneurial intention is primarily shaped by formal entrepreneurship education, supported by family influence and gender-related differences in confidence and risk orientation. The study emphasizes the importance of practical entrepreneurship education and a supportive family environment in fostering entrepreneurial interest among vocational students, contributing to a sustainable youth entrepreneurship ecosystem.
Abstract:Nurses, as the frontline of healthcare services, are expected to deliver optimal performance that frequently goes beyond their formal duties, thus requiring robust psychological capital to support voluntary work behaviors…
s known as Organizational Citizenship Behavior (OCB). This study aims to analyze the effect of Psychological Capital (PsyCap), which comprises hope, efficacy, resilience, and optimism, on nurses' OCB in regional hospitals and to identify the most dominant dimension influencing OCB. Employing a quantitative correlational approach, this research collected primary data through structured questionnaires distributed to nurses as respondents. The data were analyzed using descriptive statistics, multiple regression analysis, and moderated regression analysis to test variable relationships and the moderating effects of demographic factors. The results indicate that the levels of PsyCap and OCB among nurses are relatively high, with resilience emerging as the most significant predictor of OCB. These findings strengthen the position of PsyCap as an essential psychological resource that fosters prosocial behaviors among nurses, especially in regional hospitals often challenged by limited human resources. The implications suggest that hospital management should design PsyCap enhancement programs, focusing particularly on strengthening nurses' mental resilience to sustainably improve healthcare service quality. This study also contributes theoretically by enriching the literature on organizational behavior within the Indonesian healthcare sector.
Abstract:This study aims to analyze the influence of Environmental, Social, and Governance (ESG) on the company's financial performance, as well as test the role of operational efficiency as a moderation variable in this relationship.…
ship. The research object includes non-financial companies listed on the Indonesia Stock Exchange (IDX) during the period 2014–2023. ESG variables are measured using Bloomberg's ESG score which includes environmental, social, and governance dimensions, while operational efficiency is proxied by the Total Asset Turnover ratio. Financial performance is proxied by Return on Assets. The research method uses a quantitative approach with panel data regression analysis. The research sample consisted of 80 companies with a total of 711 observations. The results of the study show that ESG has a significant negative effect on financial performance. However, operational efficiency has been shown to play a role as a moderation variable that strengthens the relationship between ESG and financial performance. This research makes a theoretical contribution by enriching the literature on the relationship between ESG and financial performance, especially in the context of emerging markets. From a practical perspective, the results indicate that the implementation of ESG will only create financial value if integrated with internal efficiency strategies. Thus, companies are advised to not only focus on compliance with ESG aspects, but also ensure efficient management of resources to increase long-term profitability.
Abstract:The rapid growth of cryptocurrency transactions presents both opportunities for innovation and risks of cross-border financial crime, including tax evasion and money laundering, which challenge the effectiveness of traditional…
tional regulation. This study aims to analyze the effectiveness of platform-based law enforcement particularly the implementation of the Travel Rule, CARF, and KYC in the Indonesian context. The research employs a qualitative multi-site case study method with data triangulation from international literature (FATF, OECD, IMF, Chainalysis, Cambridge) and national regulations (OJK, PPATK, DJP). The findings indicate that cryptocurrency platforms serve as key actors in detection and enforcement; however, their effectiveness is constrained by the sunrise problem, the migration of illicit activities into DeFi and OTC ecosystems, and legal sovereignty tensions arising from the dominance of global platforms. This study introduces the concept of Platform-Embedded Enforcement as a novel theoretical framework, integrating monitoring and enforcement mechanisms directly into platform architectures, thereby enabling compliance to be enforced automatically, in real time, and across jurisdictions. These findings contribute to the development of more adaptive, holistic, and effective cryptocurrency regulation in emerging markets.
Abstract:Business activities are hard work to improve people's lives. Basically, the diverse needs of the community encourage people with various business activities which are then expected to be able to meet these needs. For economic…
nomic livelihoods, people need to identify potential and opportunities in the surrounding environment that will be used as business opportunities. The research method used is field research or using a qualitative approach. The results of the study are: a) The economic growth of business actors in Sungai Pauh Pusaka Village, West Langsa District, Langsa City with the many developments of business actors emerging in the village has an impact on the economic growth of the community, considering that the activities of micro, small and medium enterprises can change the economy for a community, but in 2020 economic growth experienced a decline of 87% caused by Covid-19, b) The main problem faced by business actors in Sungai Pauh Pusaka Village is the problem of decreasing turnover of their merchandise, this is caused by the Covid-19 Pandemic which has not ended.