Usage of Machine Learning for Policy Projection of Bio Solar Consumption in Indonesia by Atiq Mujtaba, Komarudin

“…This paper explores the application of machine learning (ML) techniques to project the future consumption of bio solar energy in Indonesia, aiming to inform and guide policy decisions in the energy sector. …”
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Energy-Aware Machine Learning Models—A Review of Recent Techniques and Perspectives by Rafał Różycki, Dorota Agnieszka Solarska, Grzegorz Waligóra

“…The narrative reinforces the urgency of relentless advancements in energy efficiency across the IT sector, with machine learning and data science leading the charge. …”
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The role of leadership and organizational learning in fostering high performance of tourism firms in Vietnam by Ngoc Khuong Mai, Thanh Tung Do

“…Following quantitative approach, this study used survey questionnaire to collect data from leaders in the tourism sector. …”
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Decentralised machine learning in healthcare and life sciences: Applying the technology acceptance model by Katrin Förster, Tobias Strauss

“…Machine learning (ML) has significant potential for the healthcare sector. …”
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Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction by Jamal Abdulrazzaq Khalaf, Abeer A. Majeed, Mohammed Suleman Aldlemy, Zainab Hasan Ali, Ahmed W. Al Zand, S. Adarsh, Aissa Bouaissi, Mohammed Majeed Hameed, Zaher Mundher Yaseen

“…Accurate and reliable prediction of Perfobond Rib Shear Strength Connector (PRSC) is considered as a major issue in the structural engineering sector. Besides, selecting the most significant variables that have a major influence on PRSC in every important step for attaining economic and more accurate predictive models, this study investigates the capacity of deep learning neural network (DLNN) for shear strength prediction of PRSC. …”
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INTEGRATED MARKETING COMMUNICATION (IMC) PRACTICE IN TOURISM: LESSONS LEARNED FROM BUKITTINGGI, INDONESIA by Novia Amirah Azmi, Gusmira Wita, Desy Mardhiah

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Unleashing the Potential of Learning Agility: A Catalyst for Innovative Work Behavior and Employee Performance by Christian Wiradendi Wolor, Usep Suhud, Ahmad Nurkhin, Wong Chee Hoo, Mahmoud Ali Rababah

“… Background: In today’s rapidly evolving business environment, particularly in the information technology (IT) sector, learning agility has emerged as one of the most crucial competencies for workforce adaptability, ranking as the second most sought-after skill in recruitment after advanced cognitive abilities. …”
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Research on Effective Strategies of College Physical Education Interactive Teaching Based on Machine Learning by Zhe Zhang, Yinghui Zhang

“…This study is aimed at comparing and contrasting the differences between modern interactive learning and traditional teaching strategies. We collect qualitative and quantitative results about the impact of these studies on students’ communication skills and understanding of relevant topics. …”
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Sentiment Analysis of National Health Security Mobile Application Review Using Machine Learning by Deta Novian Anantika Putra

“…We can see many businesses, specifically in Indonesia's private and public sectors, leveraging technology to provide better service to their stakeholders. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Furthermore, the results demonstrate the strong predictive capability of machine learning algorithms in assessing operational risk, highlighting their potential as valuable decision-making tools for risk management in the banking sector.Keywords: Risk Prediction, Operational Risk, Risk Management, Machine Learning IntroductionOperational risk is defined as the risk arising from external factors or failures in internal controls or information systems, which may lead to both anticipated and unexpected losses (Crouchy et al., 1998). …”
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ENTREPRENEURIAL ORIENTATION AND SME PERFORMANCE: A SEQUENTIAL MEDIATION ANALYSIS OF MARKET AND LEARNING ORIENTATIONS by Yassin Allammari, Ahmed Taqi, Nadir El Morabit

“…This study adopts a quantitative approach, using convenience-based non-probability sampling to collect data from 113 managers of Moroccan SMEs operating across various sectors. …”
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Determinants of employee engagement and job satisfaction in a local municipality by Nkosinathi G. Masuku, Elriza Esterhuyzen, Mpolokeng G. Ramajoe

“…Orientation: Employee engagement and job satisfaction are crucial for the efficiency and sustainability of public-sector organisations. Research purpose: This study investigated the factors that influence employee engagement and job satisfaction among administrative employees in an eMalahleni local municipality. …”
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MOOC development with case studies method in strategic management course for students to improve learning quality by Lylys Endarwati, Eveline Siregar, Cecep Kustandi

“…This study attempts to help support the Sustainable Development Goals education sector so that the wider public can continue to learn throughout life through MOOCs and so that they can be a guide in developing learning MOOCs with case method studies.…”
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Deep Learning-Based Portfolio Management: Empirical Study of Listed Shares on the Indonesian Stock Exchange by Grace Citra Dewi, Patrick Villanueva, Sutanto Hidayat, Elysabeth Christy Diandra Selano

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Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent. by Alejandra de-la-Rica-Escudero, Eduardo C Garrido-Merchán, María Coronado-Vaca

“…Financial portfolio management investment policies computed quantitatively by modern portfolio theory techniques like the Markowitz model rely on a set of assumptions that are not supported by data in high volatility markets such as the technological sector or cryptocurrencies. …”
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Integration of multiple intelligence in the learning process of physical education in elementary school based on teacher gender by Ismail Gani, Tomoliyus Tomoliyus, Awan Hariono

“…The findings of this study can be used by the curriculum sector, school principals, and other related organizations to facilitate physical education teachers, especially male teachers, in training the integration of multiple intelligences in the learning process. …”
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Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

“…Adopting Machine Learning (ML) in manufacturing quality assurance (QA) has accelerated with Industry 4.0, enabling automated defect detection, predictive maintenance, and real-time process optimization. …”
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Postprocessing of convection permitting precipitation forecast using UNets by Marcos Esquivel-González, Albano González, Juan Carlos Pérez, Juan Pedro Díaz

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An exploration of the effects of synchronous and asynchronous learning activities on student nurse experience during the Covid-19 pandemic by Amanda Turner, Elizabeth Wheatley

“…Innovative remote teaching and learning approaches were urgently required to enable students to continue to achieve and succeed on professionally accredited courses, whilst learning remotely. …”
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Unveiling the role of innovation practices in organizational learning as a mediator for sustainable performance enhancement in Somali banks by Shafie Dahir Mohamed, Hassan Abdikadir Hussein

“…In this regard, this study aims to investigate the mediating role of organizational learning in the connection between innovation practices and sustainable performance in Somali banks, exploring how organizational learning acts as a catalyst that enhances the impact of these innovations on performance, The data was collected from individual employees within the banking sector, comprising 200 respondents occupying diverse roles across 10 leading commercial banks in Mogadishu Somalia. …”
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