Abstract:This study aims to develop a character building affirmation learning model based on a deep learning approach in the context of Indonesian language learning at the Junior High School (SMP) level. This approach emphasizes…
strengthening conceptual understanding and internalization of character values through reflective, collaborative, and meaningful learning activities. The study used the Design and Development Research (DDR) method with a 4D development model: Define, Design, Develop, and Disseminate. The research subjects consisted of grade VIII students and Indonesian language teachers at SMP. Data collection techniques included observation, interviews, documentation, expert validation, and questionnaires to students and teachers. The validation results by three experts—character education, educational technology, and Indonesian language teachers—showed that this model is very valid, with an average score of 90% in the content, construct, and technology aspects. A limited trial conducted on 30 grade VIII students showed that 87% of students felt that this model made it easier for them to understand character values in depth. In addition, teachers considered this model practical, interactive, and able to increase students' active involvement in the learning process. These findings indicate that the affirmation character building model based on deep learning is not only effective in building attitude competencies and understanding of values, but is also relevant to be applied in Indonesian language learning. This model has the potential to be an innovative approach in technology-based character education that supports pedagogical transformation at the junior high school level
Abstract:This study aims to analyze the effect of Financial Target, Financial Stability, and External Pressure on Financial Statement Fraud, with Market Capitalization as a moderating variable, in manufacturing companies listed on…
n the Indonesia Stock Exchange (IDX) during the period 2017–2019. The research employs a quantitative approach using panel data regression analysis with the Common Effect Model (CEM) and the Moderated Regression Analysis (MRA) technique. The data were obtained from the financial statements of manufacturing companies that met the sampling criteria over a three-year observation period. The results indicate that Financial Target (ROA) has a positive and significant effect on financial statement fraud. Financial Stability (INVSAL and CATA) also shows a significant effect but in different directions: INVSAL increases, while CATA decreases the likelihood of fraudulent financial reporting. External Pressure (FREEC) has a negative and significant effect on financial statement fraud. The moderating variable, Market Capitalization, was found to strengthen the effect of CATA and weaken the effect of INVSAL on financial statement fraud. The R² value of 17.52% indicates that the research model explains a moderate portion of the variation in financial statement fraud among manufacturing firms in Indonesia. These findings support Agency Theory and the Fraud Triangle Theory, suggesting that financial pressure, stability, and external conditions play a crucial role in influencing the occurrence of financial statement fraud.
Abstract:The development of digital payment systems has driven the increasing use of the Indonesian Standard Quick Response Code (QRIS) as a practical and integrated cashless transaction method. Although QRIS adoption continues to…
o increase, its continued use is still influenced by trust, perceived risk, and the prevalence of fraud in digital transactions. This study aims to analyze the influence of trust and risk on QRIS use, with fraud as a moderating variable, in the city of Bandung. This study used a quantitative approach with a survey of 200 QRIS user respondents. The data analysis technique used was Structural Equation Modeling based on Partial Least Squares (SEM-PLS). The results showed that trust had a positive and significant effect on QRIS use, while risk had a negative and significant effect. Furthermore, fraud moderated the relationship between trust and QRIS use by weakening the influence of trust, and moderated the relationship between risk and QRIS use by strengthening the influence of risk. These findings confirm that although QRIS offers convenience and efficiency, perceptions of risk and fraud remain crucial factors influencing usage behavior. This research is expected to provide theoretical contributions to the development of digital payment technology adoption models and provide practical implications for regulators, payment service providers, and MSMEs in strengthening security, improving digital literacy, and building user trust in the QRIS payment system.
Abstract:This best practice study aims to develop 21st-century soft skills in students at MAN 1 Banda Aceh through the implementation of an artificial intelligence-based collaborative learning model called KOTAK (Artificial Intelligence-Based…
ligence-Based Brain Collaboration). The study used a qualitative case study design with 39 students. Data collection was conducted through learning observations, interviews, and analysis of student activities and learning outcomes in the Integrated Economic Exploration material. The KOTAK model was designed by integrating various easily accessible AI tools, such as Google Lens, ChatGPT, and QuestionWell, to support interactive, collaborative, and problem-solving-based learning. The results showed that implementing the KOTAK model significantly improved students' critical thinking, communication, collaboration, and creativity (4C) skills. Analysis of learning outcomes indicated a 94.87% absorption rate and achievement of the curriculum objectives for the taught material. The use of the AI platform has proven to be an effective interactive medium for encouraging active student engagement, strengthening higher-order thinking, and fostering collaboration in problem-solving. This research makes an original contribution by offering and testing a contextual learning model that integrates collaborative pedagogy and AI technology in a madrasah environment, while also presenting a practical framework for developing 21st-century skills in integrated subjects such as Economics, in line with the implementation of the Merdeka Curriculum.
Abstract:Based on data from the HSE department at PT X, North Jakarta, from 2021 to 2024, the highest number of occupational accidents (KAK) occurred among grinding workers, totaling 12 cases. The types of accidents experienced by…
y workers included metal sparks in the eyes, cuts, lacerations, scratches, and first-aid injuries. The purpose of this study is to analyze the causes of occupational accidents among grinding workers at PT X using the Systematic Cause Analysis Technique (SCAT) method. This research is a descriptive-analytic study using observation, interviews, and documentation studies. The research was conducted between July and August 2025. The research population consisted of 32 people, including 30 grinding workers who had experienced accidents, 1 HSE manager, and 1 field coordinator. The sample for this study is the same as the population. Data analysis used univariate analysis and the SCAT method analysis. Based on the results, the most frequent accident experienced by grinding workers was metal sparks in the eyes, involving 30 respondents (100%). The direct causes of these accidents were the use of inadequate PPE by 15 respondents (50%) and the improper use of grinding tools by 11 respondents (36.7%). It is recommended that management commit to maximizing the implementation of established K3 (Occupational Health and Safety) programs and standards so that work-related accidents can be prevented and zero accidents can be achieved.
Abstract:Elementary education plays a strategic role in shaping students’ character, civic attitudes, and social-emotional development. Civic Education is a fundamental subject for instilling democratic values, responsibility, and…
and social awareness from an early age. Meanwhile, the advancement of digital technology, particularly Artificial Intelligence (AI)–based learning media, offers new opportunities to improve the quality of learning in elementary schools. This study aims to analyze the existence of Civic Education and the use of AI-based learning media in supporting students’ social-emotional development. This research employed a descriptive qualitative approach and was conducted at SD Negeri 0722 PTPN IV Lubuk Bunut. Data were collected through observation, interviews, and documentation. The findings indicate that Civic Education plays a significant role in fostering students’ social attitudes, empathy, and responsibility, while AI-based learning media enhance students’ learning motivation and engagement when implemented appropriately and in accordance with developmental stages. The integration of Civic Education, AI-based media, and developmental psychology perspectives contributes positively to students’ social-emotional development in elementary education.
Abstract:This study aims to analyze the role of perceived usefulness (PU) and perceived ease of use (PEOU) in mediating the relationship between financial behavioral biases—namely financial literacy (FL), overconfidence (OC), and…
nd risk tolerance (RT)—and Bitcoin investment decisions among Generation Z in Indonesia, using the Tokocrypto and Indodax platforms. Employing a quantitative approach with a survey of 360 active Generation Z investors, data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings indicate that financial literacy, risk tolerance, PU, and PEOU have a direct positive and significant effect on Bitcoin investment decisions. Overconfidence, however, showed no significant direct effect. Furthermore, PU and PEOU partially mediated the relationships between financial literacy and investment decisions, as well as between risk tolerance and investment decisions. Notably, PEOU emerged as the strongest mediating pathway, particularly for risk tolerance. Conversely, neither PU nor PEOU mediated the relationship between overconfidence and investment decisions. This research contributes theoretically by integrating Behavioral Finance theory with the Technology Acceptance Model (TAM) in the context of high-risk digital assets. Practically, it offers insights for platform developers to enhance user experience and design targeted financial education, and for regulators to formulate behaviorally-informed investor protection policies.
Abstract:Previous studies have shown that the Critical Path Method (CPM) and the Project Evaluation and Review Technique (PERT) are effective in optimizing project completion time. Based on observations, the construction of a single…
ingle housing unit typically requires 64 working days. This study aims to obtain an optimal scheduling result by applying CPM and PERT to the construction project of a subsidized house type-36 in Perumahan Malimbukan Permai III, North Minahasa Regency. The analysis results indicate that the project’s critical path consists of A – B – C – D – E – F – H – K – L – M – N – P – Q. Using the CPM method, the required completion time is 55 days, while the PERT method yields an estimated 55.68 days. With a deadline of 60 days, the probability of completing the project is 99.94%. This study highlights the importance of monitoring the critical path and utilizing time estimation in project planning to prevent delays and unforeseen obstacles.
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:Amidst a digitized business landscape, Digital Leadership (DL) has emerged as a crucial predictor of Team Performance. However, a fundamental question arises: which dimensions of digital leadership truly drive performance…
e technical skills (tech-savviness), strategic vision, or relational skills? This study uses a Systematic Literature Review (SLR) of 51 articles to deconstruct digital leadership into four main dimensions: (1) Technological, (2) Visionary-Strategic, (3) Relational-Emotional, and (4) Structural-Managerial. The findings reveal an unexpected pattern: the technological dimension only acts as a hygiene factor, while the structural-managerial and visionary-strategic dimensions show the most consistent impact on team performance. Furthermore, the effectiveness of the relational dimension is highly context-dependent, strong in small Agile teams but NOT significant in large bureaucratic organizations. These findings suggest a reframing of the conventional assumption that “digital leaders” must start with technical expertise, and instead suggest that organizations should train digital talent in soft skills and strategic vision, or train existing visionary leaders in basic digital literacy.