Abstract:The implementation of examinations at SMA Negeri 7 Sarolangun previously encountered operational challenges due to an unintegrated workflow, where exam authoring was conducted via Google Forms and exam delivery relied on…
an Android-based third-party application paired with a custom keyboard. This workflow caused severe device incompatibility, system crashes, and manual score recapitulation delays lasting up to one week. This research aims to design and develop an integrated web-based examination application utilizing the Django framework under the Rapid Application Development (RAD) model to support Midterm (PTS) and Final (PAS) semester exams. The application features master data management, manual question authoring and bulk imports via Excel, token-protected scheduling, asynchronous AJAX auto-saving on computer-based test (CBT) sheets, live proctoring controls, auto-grading, score visibility authorization (Hide Score), and dynamic class-filtered report exports in Excel and PDF formats. System evaluation was conducted through Alpha testing (White Box and Black Box testing) and Beta testing (ISO/IEC 25010:2011 quality evaluation by system experts and End-User Computing Satisfaction/EUCS by end-users). Alpha testing verified that all 29 independent logic paths in White Box testing executed without branching errors and Black Box testing achieved 100% validity across 13 functional modules. Beta testing with 2 system experts yielded an average score of 98.25% (Very Good), and end-user testing involving 27 respondents achieved an average satisfaction score of 84.75% (Very Good). Thus, the developed system is highly feasible, reliable, and effective for school examination operations.
Abstract:External evidence can make retrieval-augmented generation (RAG) more informative, yet retrieved passages also provide a path for adversarial instructions to enter the model context. We examine that path in an English-Indonesian…
onesian RAG system and track cross-lingual indirect prompt injection separately at retrieval, reranking, and generation. The experiment starts from 75 semantic items and evaluates every item in eight query/body/payload language combinations, for 600 paired trials. Qwen3-Embedding-0.6B and BGE-M3 produce top-20 candidate sets, BGE-reranker-v2-m3 reduces each set to five documents, and Qwen3-0.6B answers from the resulting context with either a standard prompt or an explicit trust-boundary prompt. Statistical uncertainty is estimated by resampling semantic items, and paired binary outcomes are modeled with generalized estimating equations. Poison documents reached the top 20 in 80.50% of Qwen trials and 37.67% of BGE-M3 trials (odds ratio 6.94, 95% CI 4.53-10.63). Top-five exposure was 18.50% and 16.17%, respectively. Standard end-to-end attack success was 6.33% for Qwen and 6.00% for BGE-M3; boundary-aware prompting lowered both rates to 1.33%, with no canary false positives. The results indicate that multilingual RAG security depends on several linked stages rather than generation alone.
Abstract:Cigarette smoke exposure is a significant health threat that may trigger lipid metabolism disorders, particularly by increasing serum triglyceride levels through nicotine-stimulated production of Very Low-Density Lipoprotein…
tein (VLDL). This study aimed to analyze the correlation between cigarette smoke exposure levels and serum triglyceride levels in students to identify cardiovascular risks among the productive age group. This study employed an analytical observational design with a cross-sectional approach. A total of 83 participants were selected using a purposive sampling technique. Participants' levels of exposure to cigarette smoke were assessed, and their serum triglyceride levels were analyzed using the GPO-PAP enzymatic method. Statistical analysis was performed to determine the significance of the association between smoke exposure levels and serum triglyceride levels. The findings indicate no statistically significant correlation between the level of cigarette smoke exposure and serum triglyceride levels among the study participants (Spearman's rho, p = 0.882). Most participants were classified as having mild cigarette smoke exposure and exhibited serum triglyceride levels within the normal reference range. Furthermore, the relatively homogeneous exposure levels and the young age of the participants may have contributed to the limited variability observed in the study. In conclusion, mild cigarette smoke exposure was not significantly associated with serum triglyceride levels among young adults.
Abstract:Adolescents represent a high-risk group for HIV/AIDS infection due to limited knowledge of transmission mechanisms and appropriate prevention strategies. Health information exposure plays a critical role in shaping adequate…
ate knowledge as the foundation for preventive behavior. This study aims to determine the level of HIV/AIDS prevention knowledge among adolescent students and to analyze its association with health information exposure. A cross-sectional study was conducted among 189 students at Institut Ilmu Kesehatan Pelamonia in 2026, recruited via random sampling. Data were collected using a structured questionnaire and analyzed using the Chi-square test (α = 0.05). A total of 66% of respondents had sufficient knowledge of HIV/AIDS prevention; however, 48% had never been exposed to related health information. A significant association was found between health information exposure and knowledge level (p = 0.04; OR = 3.4; 95% CI: [complete]). Health information exposure is significantly associated with HIV/AIDS prevention knowledge among adolescent students. Health education institutions should strengthen structured and sustainable HIV/AIDS education programs to prepare students as future health professionals.
Abstract:Customer loyalty is essential for the sustainability of aesthetic clinics, particularly amid increasing competition and the growing use of digital promotional channels. This study examines the effects of service quality…
and online promotion on customer loyalty, with customer satisfaction as a mediating variable at F3B Beauty House. A quantitative explanatory design with a cross-sectional survey approach was employed. Data were collected through an online questionnaire from 361 customers selected using purposive sampling. Eligible respondents were at least 18 years old, had completed at least two visits or transactions within the previous 12 months, and had been exposed to the clinic’s online promotions. The data were analyzed using partial least squares structural equation modeling. The results show that service quality and online promotion positively and significantly affect customer satisfaction and customer loyalty. Customer satisfaction also has a positive and significant effect on customer loyalty and demonstrates the largest practical effect. Furthermore, customer satisfaction partially mediates the effects of service quality and online promotion on customer loyalty. The model explains 66.9% of the variance in customer satisfaction and 68.3% of the variance in customer loyalty. These findings emphasize the importance of integrating consistent service quality, interactive online promotion, and satisfactory customer experiences to strengthen sustainable customer loyalty.
Abstract:In carrying out its integrated regulatory and supervisory function in the financial services sector, the Financial Services Authority (OJK) receives various reports from Financial Services Institutions (LJK), Issuers, and…
d Public Companies regarding the receipt and distribution of funds. The complexity of funding and financing relationships between financial service actors creates concentration risks that have the potential to disrupt financial system stability. Experiences from the 1998 Indonesian crisis and the 2008 global financial crisis demonstrate that concentration of exposures and interconnectedness between entities can exacerbate systemic risk. This study aims to identify current supervisory data analysis practices and propose the development of a concentration risk analysis that integrates the loan exposures of large debtor groups with their funding sources. The study used a qualitative approach through interviews, observations, and document analysis. The results indicate that OJK supervisors need an integrated concentration risk analysis across various LJKs and customer groups. Currently, the analysis process is still carried out manually, resulting in inconsistent results and difficult to replicate. The implementation of Supervisory Technology (SupTech) can improve supervisory effectiveness while transforming supervisors' tacit knowledge into explicit knowledge that is documented, standardized, and easily shared. This research contributes to the development of technology-based risk monitoring and knowledge management models in the financial services sector.
Abstract:This study examines the influence of price perception and online promotion on brand awareness and its implication for purchase decision for KaiaMuslimWear kurta products. The issue addressed in this study is the need for…
KaiaMuslimWear to strengthen its competitive position in the Muslim fashion market, particularly in the men’s kurta category, where consumers are exposed to various product alternatives, competitive prices, and intensive digital promotion. This study used a quantitative approach with a descriptive and verificative design. Data were collected through an online questionnaire distributed to 200 KaiaMuslimWear consumers and analyzed using SPSS 27 and LISREL 8.80 with Structural Equation Modeling. The results show that price perception and online promotion have positive and significant effects on brand awareness and purchase decision. Brand awareness also has a positive and significant effect on purchase decision. Furthermore, brand awareness significantly mediates the effect of price perception and online promotion on purchase decision. These findings indicate that purchase decision is shaped through an integrated process involving perceived price fairness, online promotional effectiveness, and consumer awareness of the brand.
Abstract:The rapid integration of Artificial Intelligence (AI) into organizational systems has transformed workplace dynamics, employee responsibilities, and patterns of human labor. Although AI implementation improves operational…
l efficiency and productivity, it also creates psychological and professional challenges for employees adapting to technological change. This study aims to explore the lived experiences, emotional responses, and adaptation strategies of employees in South Sulawesi companies undergoing AI-driven digital transformation. This research employed a qualitative phenomenological approach. Data were collected through in-depth semi-structured interviews with 20 participants from the banking, manufacturing, retail, technology, and service sectors in South Sulawesi, Indonesia. Participants were selected using purposive sampling based on direct exposure to AI systems and a minimum of 1.5 years of work experience. The data were analyzed using thematic analysis to identify recurring patterns and meanings related to employee adaptation. The findings revealed six major themes: AI as a tool for improving efficiency and productivity, fear of job displacement and career uncertainty, the importance of continuous learning and digital skill development, the role of organizational support and leadership communication, the emergence of human–AI collaboration, and varied psychological responses to technological change. Employees who received organizational support and training demonstrated greater adaptability and confidence in responding to AI implementation. The study emphasizes the importance of human-centered change management strategies that prioritize psychological safety, transparent communication, and continuous digital training. This research contributes to the limited phenomenological literature on AI adaptation in Indonesia and provides practical implications for human resource management and organizational behavior in the era of digital transformation.
Abstract:The rapid development of digital financial technology has significantly transformed investment activities by providing easier access to financial markets through digital investment applications. This study aims to explore…
e the perceptions and experiences of beginner investors in making investment decisions in the digital era. Using a qualitative research approach with a phenomenological perspective, data were collected through semi-structured interviews with beginner investors who actively use digital investment applications. The collected data were analyzed using thematic analysis to identify patterns and themes related to investors’ experiences and decision-making processes. The findings reveal that investment decision-making among beginner investors is influenced by several interconnected factors, including the accessibility and usability of digital investment platforms, the influence of social media and online communities, the development of financial literacy, and psychological experiences related to investment gains and losses. Digital investment applications play a crucial role in lowering barriers to market participation by providing user-friendly interfaces and accessible financial information. However, reliance on social media as a source of investment information may also expose investors to misinformation and speculative investment behavior. In addition, emotional responses such as confidence, fear, and uncertainty often influence investment decisions among beginner investors. Overall, the study highlights that investment decision-making in the digital era is a multidimensional process shaped by technological accessibility, social influence, financial knowledge, and psychological factors. These findings contribute to a deeper understanding of investor behavior in digital financial environments and emphasize the importance of financial education and responsible investment practices.
Abstract:This study aims to analyze the influence of international prices, the rupiah–rupee exchange rate, non-tariff measures, and India’s import volume on the export value of Indonesian cloves to India. The research utilizes secondary…
s secondary data for the period 2015–2024. The analytical method employed is the Autoregressive Distributed Lag (ARDL) model to examine both short-run and long-run relationships, complemented by stationarity tests, cointegration tests, ECM estimation, and diagnostic and stability tests. The results show that international prices have a positive and significant effect on Indonesia’s clove export value, consistent with export-supply theory which states that higher global prices increase export incentives. The rupiah–rupee exchange rate displays a positive but insignificant relationship, indicating that exchange rate volatility is not sufficiently strong to influence changes in export value. Non-tariff measures, including SPS and TBT standards, are found to have a significant effect, reflecting the role of regulations in increasing compliance costs while simultaneously enhancing Indian consumer confidence in the quality of Indonesian cloves. India’s import volume also has a significant influence, showing that India’s domestic demand remains a major driver of Indonesia’s export value during the study period. This study is expected to provide insights for policymakers and industry players in strengthening trade strategies, particularly in enhancing the competitiveness of Indonesian clove exports through quality improvements, exchange rate stability, and compliance with non-tariff standards.