Abstract:This study aims to analyze the digitalization strategy of school management in improving the quality of education at SMK Negeri 2 Gunungsitoli. This research is motivated by the importance of digital transformation in the…
e world of education, particularly in efficient, adaptive, and technology-based school management. The research method used is descriptive qualitative with data collection techniques through interviews, observation, and documentation. The research informants consisted of the principal, vice principal, teachers, and administrative staff. The results of the study indicate that the digitalization strategy has begun to be implemented through the use of technology in the learning process, the development of teachers' digital skills, and the integration of technology-based educational platforms. However, in its implementation, the school faces various obstacles, such as limited school internet (Wi-Fi) quota and low digital competence of some teachers. To overcome these obstacles, the school conducts internal training, utilizes offline learning media, and improves digital infrastructure. The conclusion of this study shows that the digitalization of school management contributes significantly to improving the quality of education, especially in terms of learning effectiveness, administrative efficiency, and strengthening teacher and student competence in the digital era
Abstract:In the digital era, entrepreneurship has undergone significant transformation, particularly in human capital management. This study explores strategies for human capital development within digital entrepreneurial environments,…
ments, focusing on digital skills training, collaborative learning, and flexible work arrangements. Using a qualitative approach, data were collected through semi-structured interviews, focus group discussions (FGDs), and document analysis. The findings indicate that entrepreneurs who adopt digital-based human capital development strategies experience improvements in workforce skills, innovation, and business productivity. However, challenges such as limited resources, resistance to change, and digital literacy gaps remain significant barriers, particularly for small and medium enterprises (SMEs). This study highlights the role of leadership and digital platforms as solutions to overcome these obstacles. The findings provide valuable insights for business practitioners and policymakers in designing more effective and sustainable human capital development strategies in the digital age.
Abstract:The digitalization of Human Resource Management (HRM) at PT. Semen Indonesia Unit Tonasa has significantly transformed the company’s HR operations, improving efficiency and effectiveness across various HR functions. Located…
cated in Makassar, PT. Semen Indonesia Unit Tonasa, a major player in the cement manufacturing industry, faced challenges in managing its large and diverse workforce, including slow recruitment processes, inconsistent performance evaluations, and inefficient data management. To address these challenges, the company adopted cloud-based HR management systems, automated recruitment tools, and performance management software, allowing for real-time monitoring and data-driven decision-making. The results of this digital transformation were notable: recruitment time was reduced by 30%, performance evaluations became more transparent and objective, and employee engagement increased through self-service portals and online learning platforms. The integration of real-time data analytics enabled HR managers to make more informed decisions, aligning HR practices with organizational goals. Despite facing resistance to change and technical challenges related to system integration, the company effectively managed the transition through comprehensive training and ongoing support. This study demonstrates how digital tools can optimize HR processes, enhance employee satisfaction, and improve organizational performance. The success of PT. Semen Indonesia Unit Tonasa’s digital HR implementation provides valuable insights for other organizations seeking to modernize their HR functions in an increasingly digital and competitive environment
Abstract:In the Industry 4.0 era, achieving sustainable business success requires organizations to harness unique, rare, and inimitable resources. These resources demand a long learning curve within the organization and are critical…
cal for sustaining competitive advantage. This study explores the Era 4.0 Organizational Sustainability Model, a hybrid framework that demonstrates the interrelation of key organizational elements, including core competencies, business outcomes, and strategic objectives essential for long-term operational sustainability. In a landscape of intense competition, survival and growth are imperative goals for organizations. Central to this endeavor is the management of human resources, particularly the Millennial workforce, known for its unique challenges in turning weaknesses into opportunities for development. This research highlights the critical role of tailored talent management strategies in addressing generational characteristics, fostering employee growth, and aligning workforce capabilities with organizational needs. By employing an innovative and holistic HR strategy, organizations can enhance their ability to compete sustainably while driving long-term profitability and resilience in the face of rapid technological and market changes.
Abstract:Implementation of financial accounting systems is a complex process involving various factors, including organizational behavior. Organizational behavior factors play an important role in determining the success or failure…
re of system implementation. This abstract discusses the background of the problem regarding organizational behavior factors in the implementation of financial accounting systems. Problems that often arise related to organizational behavior factors in the implementation of financial accounting systems include resistance to change, lack of management support, lack of skills and knowledge, lack of communication and involvement, and an organizational culture that does not support change. Resistance to change can arise from discomfort with changes in usual work routines or uncertainty about the success of the new system. Inadequate management support can hinder employee participation and motivation in adopting the new system. Lack of skills and knowledge needed to operate the new system can hinder effective acceptance and use. Ineffective communication and lack of employee involvement in the implementation process can lead to ambiguity and resistance. An organizational culture that does not support change and innovation can be a serious obstacle to the implementation of financial accounting systems. In addressing organizational behavior factors, it is important to pay attention to employee attitudes and perceptions, management support, effective communication, training and learning, and an organizational culture that supports change. Involving employees in the planning and decision-making stages, providing adequate training, and creating a culture that is open to change can increase the success of implementing a financial accounting system.
Abstract:This study aims to analyze how entrepreneurship education and training affect entrepreneurial motives in vocational school students in Mojokerto City. Using a qualitative approach with a case study method, this study explores…
lores students' experiences, perceptions, and views regarding the learning process and entrepreneurship training they receive. Data were obtained through in-depth interviews, participatory observations, and document analysis from several vocational schools that were the subject of the research. The results of the study show that entrepreneurship education has a significant influence on students' mindset and attitude towards entrepreneurship, especially in building confidence and courage to start a business. Meanwhile, entrepreneurship training provides students with hands-on experience in developing practical skills relevant to the business world. Supporting factors such as teacher involvement, training facilities, and school support play an important role in maximizing the impact of education and training. This study concludes that integrated entrepreneurship education and training can encourage students to have a stronger entrepreneurial motive. As a recommendation, it is necessary to develop a more applicable and local potential-based entrepreneurship learning model to increase its relevance and effectiveness.
Abstract:This study aims to, 1) analyze the differences in problem-solving skills between students who are given treatment in the form of applying the Project Based Learning model with students who are given a conventional model…
in Economic Learning at MAN Jeneponto, 2) to analyze the effect of applying Project Based Learning on the problem-solving skills of class X students in economic learning at MAN Jeneponto. The research method used is quasi-experiment with Nonequivalent (Pretest and Posttest) Control Group Design. Data collection methods are through tests (pretest and posttest), questionnaires, and documentation. The number of samples in this study were 76 students, where in the experimental class there were 38 students and in the control class 38 students. The data analysis used is the N-Gain of the experimental class and control class, as well as the experimental class Hypothesis test. The results of this study indicate that the N-Gain of the experimental class is in the high and effective category, while the control class is in the low and less effective category. This means that the application of Project Based Learning is effective on the problem solving skills of class solving ability of class X students in economic learning at MAN Jeneponto
Abstract:This research aims to find out how student learning outcomes differ in the Accounting Laboratory course based on previous educational background. The population in this sample is all 91 students who filled out the Googleform…
form provided. The sample size was obtained using the Yamane formula for the two independent variables, namely SMK with 40 students and SMA with 20 students. The type of research in this research is quantitative comparative using the independent sample t-test analysis technique, with the test carried out being a difference test of one group of samples (pairs). The results of this research are that there is no statistically significant difference between the learning outcomes of students with vocational/MAK backgrounds and the learning outcomes of students with high school/MA backgrounds. Keywords: Learning Outcomes, Educational Background
Abstract:Artificial Intelligence has become a transformative technology in the field of financial technology, leveraging advanced algorithms and machine learning to identify risks and make informed decisions. However, its widespread…
ead adoption presents new challenges related to ethical use, data privacy, security concerns, potential bias, and discrimination. This study aims to explore the benefits of AI-based risk management in Fintech while highlighting associated challenges and providing recommendations. This research utilises the systematic review methodology to analyse existing literature and identify important patterns, gaps, and areas for further investigation. The study utilised data gathered from the Scopus database to obtain credible scholarly materials. Research data was collected from a variety of countries including the United States, China, European nations, and other Asian countries in order to develop a comprehensive understanding of AI-based risk management on a global scale. The findings highlight the crucial role of ethical considerations in implementing AI-based risk management systems to ensure fairness, transparency, and accountability. Moreover, the fintech industry needs to establish strong data protection measures and address issues related to bias and discrimination in order to instil trust and uphold public confidence in AI-based risk management. Future research should emphasise assessing the effectiveness of different algorithms and approaches while also examining potential regulatory frameworks and legal implications associated with AI-based risk management strategies.
Abstract:Penggunaan dompet digital yang terus meningkat menghasilkan banyak ulasan pengguna yang dapat dimanfaatkan untuk mengevaluasi kualitas layanan. Penelitian ini bertujuan meningkatkan akurasi klasifikasi sentimen pengguna…
dompet digital menggunakan metode Stacking Ensemble Machine Learning yang mengombinasikan Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), dan AdaBoost dengan Logistic Regression sebagai meta-learner. Data ulasan diproses melalui tahapan text preprocessing meliputi case folding, cleaning, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan TF-IDF. Penyeimbangan data dilakukan dengan SMOTE, sedangkan evaluasi model menggunakan 5-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa model Stacking Ensemble memperoleh akurasi rata-rata 80,55%, lebih tinggi dibandingkan algoritma dasar. Evaluasi menggunakan Confusion Matrix, Classification Report, dan ROC Curve juga menunjukkan peningkatan nilai precision, recall, F1-score, dan kemampuan diskriminasi model. Hasil ini menunjukkan bahwa pendekatan Stacking Ensemble Machine Learning efektif untuk meningkatkan akurasi klasifikasi sentimen pengguna dompet digital serta mendukung evaluasi kualitas layanan berbasis opini pengguna.
The rapid growth of digital wallet usage has generated a large volume of user reviews that can be utilized to evaluate service quality. This study aims to improve the accuracy of digital wallet user sentiment classification using a Stacking Ensemble Machine Learning approach that combines Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), and AdaBoost with Logistic Regression as the meta-learner. User reviews were processed through text preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, stemming, and TF-IDF feature weighting. Synthetic Minority Over-sampling Technique (SMOTE) was employed to address class imbalance, while model performance was evaluated using 5-Fold Cross-Validation. The experimental results show that the proposed Stacking Ensemble model achieved an average accuracy of 80.55%, outperforming the individual base learners. Furthermore, evaluations based on the Confusion Matrix, Classification Report, and Receiver Operating Characteristic (ROC) Curve demonstrated improvements in precision, recall, F1-score, and the model's discriminative capability. These findings indicate that the proposed Stacking Ensemble Machine Learning approach is effective in improving the accuracy of digital wallet user sentiment classification and can serve as a reliable tool for supporting service quality evaluation based on user opinions.