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Showing 923 articles found for "Earning"

Data Driven Marketing in Real Estate: Forecasting House Prices and Uncovering Influential Factors

Prabadianti, Intania, Samidi
Abstract: In recent years, the housing market has faced significant challenges, including fluctuating prices and declining sales. To solve this issue, there was an increasing need for more sophisticated methods to predict housing… prices accurately. This study aimed to provide real estate marketers with a tool to enhance their pricing tactics and mitigate the decline in home sales by predicting house prices using machine learning techniques. Several parameters were considered in this study, such as location, number of bedrooms, number of bathrooms, land area, building area, and number of carports. Linear regression and neural network methods were used to develop predictive models. The findings showed that the neural network method was more accurate than linear regression, which made it a better tool for real estate pricing strategies, with land area and number of carports being the most influential aspects in house price prediction.

The Relationship Between Learning Styles and Learning Motivation Towards Academic Achievement of Students of The Faculty Of Economics and Business, State University of Makassar

Rahman, Abdul
Abstract: This study aims to determine the effect of learning styles on academic achievement, the effect of learning motivation on academic achievement, and the effect of learning styles and learning motivation on academic achievement.… ment. Sampling was carried out using a simple purposive sampling technique so that 44 students were obtained. Data collection used an online questionnaire. Data analysis used multiple linear regression analysis. The results of the study showed that the partial test (t-test) concluded that learning styles had a significant effect on academic achievement and learning motivation had a significant effect on academic achievement. Based on the F test, it was concluded that learning styles and learning motivation jointly influenced the learning achievement of FEB students at Makassar State University. Therefore, teachers are advised to analyze student learning styles in determining teaching methods and always motivate students to increase the intensity of their learning efforts.

Analysis of Human Resource Planning in Facing Challenges in The Digital Era at State Vocational School 2 Gunungsitoli, Gunungsitoli City

Mendrofa, Jepi Masa, Zega, Yamolala, Gulo, Heniwati, Waruwu, Robin Markus Putra
Abstract: This study aims to analyze human resource (HR) management planning, identify obstacles, and formulate efforts to support the digitalization of school management. The study used a qualitative descriptive approach with in-depth… depth interviews, observation, and documentation techniques with the principal, vice principal, teachers, and administrative staff. The results showed that HR planning at SMK Negeri 2 Gunungsitoli was carried out through three main steps: (1) needs analysis and preparation of technology-based teacher formation, (2) competency mapping and identification of information and communication technology (ICT) training needs, and (3) empowerment of teachers and staff through workshops, mentoring, and discussion forums. Obstacles faced included limited digital literacy among teachers and staff, unequal network access, and resistance to changes in technology-based learning methods. Efforts made by the school included providing digital literacy training, optimizing available devices and networks, utilizing offline learning applications, and creating a work culture that is adaptive to innovation. This study concluded that targeted HR planning, infrastructure support, and continuous competency development are important factors in realizing effective digital transformation in schools. These findings are expected to be useful for SMK Negeri 2 Gunungsitoli, other educational institutions, and further researchers in developing digitalization strategies for school management.

Bridging The Digital-Physical Divide: Transfer Learning For Unified Threat Correlation in Converged IT/OT/IOT Ecosystems

Dzreke, Simon Suwanzy
Abstract: The increased integration of operational technology (OT), Internet of Things (IoT), and business IT systems has allowed sophisticated attackers to circumvent isolated security features and launch cross-platform assaults.… Current fragmented techniques, with discrete detectors monitoring Modbus, Kubernetes, MQTT, or other domain-specific protocols, cannot handle cross-system risks. These methodologies overlook 68% of multi-vector marketing that uses both physical and digital channels. This study introduces a transfer learning architecture to integrate detection capabilities by correlating threats across protocols, devices, and settings. The architecture generates a unified feature space that extracts behavioral semantics from industrial control system logs, cloud telemetry, network traffic, and device-level signals to produce protocol-agnostic threat representations. Adversarial domain adaptation and semantic graph embeddings enable cross-domain knowledge transfer with minimum retraining. Security teams may now discover kill chains like infected cloud containers preceding illegal PLC command execution every 23 minutes. Validated against real-world attack datasets from water treatment facilities (OT) and cloud infrastructure (IT), the system achieved 93.4% cross-platform attack recall, a 41.3 percentage point improvement over prior methodologies. It reduced OT data labeling by 89% and false positives by 93.5%. This paradigm shift transforms threat correlation from a reactive, domain-specific process to adaptive intelligence, boosting resilience for critical infrastructure, industrial ecosystems, and smart environments facing cyber-physical hazards. The framework's practical validation in energy, industry, and vital infrastructure shows its importance in protecting an increasingly linked world.

The Influence of Knowledge Management on Employee Competencies at PT. Semen Indonesia Unit Tonasa

Muhammad, A Fadel, Joeliaty, Muizu, Wa Ode Zusnita
Abstract: This study examines the influence of knowledge management on employee competencies at PT. Semen Indonesia Unit Tonasa. Knowledge management, encompassing knowledge creation, storage, sharing, and application, plays a crucial… cial role in enhancing employee knowledge, skills, and attitudes. Employing a quantitative approach, data were collected through structured questionnaires and analyzed using Structural Equation Modeling (SEM). The findings reveal a significant positive relationship between knowledge management and employee competencies, with a path coefficient of 0.512 and a t-statistic of 7.245. Among the dimensions, knowledge sharing emerged as the strongest contributor to competency development, fostering collaboration and collective learning. Employees reported significant improvements in technical expertise, problem-solving skills, and adaptability. However, challenges such as resistance to change, uneven participation, and resource constraints were identified as barriers to the full implementation of knowledge management initiatives. This study underscores the importance of structured knowledge management practices in developing a skilled and adaptable workforce. Practical recommendations include fostering a knowledge-sharing culture, addressing resistance to change, promoting inclusive participation, and investing in knowledge management systems. These insights are expected to contribute to the academic literature and provide actionable strategies for organizational development

The Influence of Organizational Learning on Employee Competencies at PT. Semen Indonesia Unit Tonasa

Muhammad, A Fadel, Joeliaty, Muizu, Wa Ode Zusnita
Abstract: This study examines the influence of organizational learning on employee competencies at PT. Semen Indonesia Unit Tonasa. In the context of intense market competition and rapid technological change, fostering continuous… learning has become critical for organizations to enhance workforce adaptability and innovation. Organizational learning dimensions—such as personal mastery, shared vision, team learning, mental models, and systems thinking—were analyzed for their contribution to employee competencies, including knowledge, skills, and attitudes. A quantitative approach using Structural Equation Modeling (SEM) revealed a significant positive relationship between organizational learning and competencies, with a path coefficient of 0.465 and a t-statistic of 6.434. The findings underscore the role of organizational learning in improving employee collaboration, problem-solving, and strategic thinking. However, challenges like resistance to change, unequal participation, and resource limitations were identified as barriers. Addressing these issues through leadership commitment, inclusive participation, and resource optimization can amplify the impact of learning initiatives.

Evolution of Technology Management in Human Resource Development: a Qualitative Perspective on Start-Up Companies

Sukiman, Pering, I Gede Arya, Muhammad, A Fadel, Razak, Annisa Zhalila, Rostini
Abstract: This study investigates the role of technology management in human resource management (HRM) within start-up companies in Indonesia. Focusing on start-ups that have been operating for at least three years and employ a minimum… nimum of 20 personnel, the research utilizes a qualitative descriptive approach. Primary data was collected through in-depth interviews with HR managers, company executives, and employees, while secondary data was sourced from company documents and participatory observation. The findings show that the adoption of technology, particularly Human Resource Management Systems (HRMS) and Learning Management Systems (LMS), has improved HR processes, including recruitment, training, and performance management. However, challenges remain, such as digital literacy issues, cost constraints, and the misalignment of technology with organizational culture. While technology enhances operational efficiency, it cannot replace essential face-to-face interactions that contribute to a strong organizational culture. The study suggests that start-ups must customize technology solutions to better align with their specific needs and culture. This research provides valuable insights into the integration of technology in HRM and offers recommendations for overcoming the challenges start-ups face in leveraging technology effectively

School Management Digitalization Strategy To Improve Education Quality at State Vocational School 2 Gunungsitoli

Telaumbanua, Fajar Otolius, Telaumbanua, Eliagus, Waruwu, Suka’aro, Mendrofa, Syah Abadi
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

Strategy for Human Capital Development in The Entrepreneurial Environment in The Digital Era

Rostini, Arimbawa, I Gede Arya Pering, Goeliling, Ardhie, Vianti, Nela Nur, A Rahman, Fatmawati
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.

The Influence of Financial Performance on Stock Prices in Banking Companies Listed on The Indonesia Stock Exchange

Harisda, Yusuf , Syarifuddin, Syukri, Fitriyani
Abstract: Stock price fluctuations in banking companies listed on the Indonesia Stock Exchange (IDX) reflect the financial condition of the company and are a major concern for both companies and investors. One of the factors that… influences stock prices is the company's financial performance. This study aims to examine the effect of ROA and EPS on stock prices, both partially and simultaneously. This study uses a quantitative approach with secondary data in the form of annual financial reports of the population of all banking companies listed on the IDX for the period 2020–2023. The research sample was selected using a purposive sampling technique, resulting in 13 companies with a total of 52 data. Data analysis used multiple linear regression after going through the classical assumption test to ensure the feasibility of the model. The results of the study showed that partially, Return on Assets (ROA) did not have a significant effect on stock prices. This is thought to be due to the instability of external factors and market expectations that are not fully focused on the efficiency of asset use. Conversely, Earnings Per Share (EPS) has a positive and significant effect on stock prices, indicating that investors tend to prioritize earnings per share as the main indicator in assessing a company's prospects. This finding confirms that in the context of banking companies in Indonesia, EPS is more important than ROA in making investment decisions