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.
Abstract:This study analyzes the use of the BTN Properti for Developer application in the Home Ownership Credit (KPR) application process at Bank BTN Manado Branch using the Technology Acceptance Model (TAM) and User Experience (UX)…
UX) approaches. The study used a descriptive qualitative method through in-depth interviews with four developer users of the application. Data analysis was conducted using the Miles and Huberman model which includes data reduction, data presentation, and conclusion drawing. The results show that the BTN Properti for Developer application is generally well received by developers because it is considered easy to use, has a clear application flow, and is able to improve the efficiency of time, costs, and energy through a digital process. However, several obstacles were still found, such as limited document upload size, navigation that is not fully intuitive, and delays in status updates outside of operating hours. Support from BTN was considered quite responsive through training and direct communication, although improvements in the communication features in the application are needed. Based on the TAM analysis, application acceptance is influenced by perceptions of usefulness and ease of use, while from a UX perspective the application shows good usability and usefulness quality, but still requires development in the aspects of interactivity and accessibility. This study concludes that the BTN Properti for Developer application plays an important role in supporting the digital transformation of mortgage applications, with a note that continuous development is needed to optimize services and be user-oriented.
Abstract:This research aims to develop Indonesian learning tools based on the Deep Learning approach to improve critical thinking skills and mastery of language concepts of elementary school students. The research was carried out…
ut at SDN 16 Bangkala, Jeneponto Regency, in the odd semester of the 2025/2026 school year with 25 subjects in grade IV. The development model used is the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. Data collection techniques include observation, interviews, questionnaires, and learning outcome tests. The validation results of three experts showed that the teaching modules developed were classified as very valid with an average feasibility level of 89%. The implementation of learning using Deep Learning syntax (Engage, Explore, Explain, Elaborate, Evaluate) shows an increase in student activity and involvement in the learning process. Based on the results of the data analysis, the average value of critical thinking skills increased from 61.2 to 83.6 with an N-Gain of 0.58 (medium-high category), while the mastery of language concepts increased from 63.4 to 86.8 with an N-Gain of 0.63 (high category). The results of the t-test showed p < 0.05 which means that there was a significant increase after the implementation of Deep Learning-based learning. Thus, it can be concluded that the Indonesian teaching module based on the Deep Learning approach is effective in improving students' critical thinking skills and mastery of language concepts. This approach is able to create learning that is aware, meaningful, and fun, and in line with the principles of the Independent Curriculum which emphasizes differentiated and student-centered learning.
Abstract:This study aims to explore and analyze the role of law enforcement in upholding privacy regulations as an effort to strengthen national resilience in the digital era, with a particular focus on the implementation of Law…
Number 27 of 2022 on Personal Data Protection (PDP Law). Employing a descriptive qualitative method based on a literature review, the research examines structural, technical, and institutional challenges in the enforcement of the PDP Law, including low levels of public digital literacy, the absence of comprehensive implementing regulations, and the lack of inter-agency integration. The findings reveal that weak law enforcement increases the risk of cyberattacks on critical infrastructure, diminishes public trust in digital services, and poses the potential for digital economic isolation. The study further highlights the importance of synergy among the government, private sector, civil society, and the media in developing an effective data protection system, supported by capacity-building for law enforcement officers, regulatory harmonization, and the adoption of AI-based legal technologies. Conceptually, successful law enforcement in digital privacy protection not only safeguards individual rights but also serves as a strategic foundation for national resilience.
Abstract:Character building is a key focus of elementary education, aimed at developing students with noble character, independence, and responsibility. One approach is to implement the 7 Habits of Great Indonesian Children, encompassing…
mpassing religiousness, discipline, honesty, responsibility, caring, hard work, and love for the homeland. This study aims to analyze the role and implementation of the 7 Habits of Great Indonesian Children in strengthening the character of elementary school students. The method used was a qualitative descriptive approach, with data collection techniques through observation, interviews, and documentation. The results indicate that consistent and integrated implementation of the 7 Habits of Great Indonesian Children in learning activities, daily routines, and school culture can improve students' attitudes of discipline, responsibility, honesty, social awareness, and religiosity. Furthermore, teacher involvement and support from the school environment are crucial factors in the success of character building. Therefore, the 7 Habits of Great Indonesian Children can be an effective strategy for building positive character in students sustainably.