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All Journal INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS (IJEFE)
Dhiraj Kelly Sawlani
Sekolah Tinggi Kepemerintahan dan Kebijakan Publik, Indonesia
Religion Humanities Economics, Econometrics & Finance Social Sciences

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DESIGN OF AN AI-POWERED PREDICTIVE MAINTENANCE SYSTEM FOR INDUSTRIAL IOT NETWORKS Dhiraj Kelly Sawlani; Sukril Rahman Zega; M. Ridho
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2025): INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Publisher : Adisam Publisher

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The Industrial Revolution 4.0 presents new challenges in industrial asset management, particularly regarding equipment maintenance. Traditional maintenance approaches, both reactive and preventive, have proven to be less efficient because they cause downtime and waste costs. Therefore, predictive maintenance emerges as a promising solution through the utilization of the Internet of Things (IoT) for real-time data collection and Artificial Intelligence (AI) for failure pattern analysis. This article presents a literature review on the design of an AI-based predictive maintenance system integrated with an industrial IoT network. The study was conducted by searching literature from reputable databases such as IEEE Xplore, ScienceDirect, ACM, and Springer, using the keywords "Predictive Maintenance", "AI", "IoT", "Industrial IoT", and "Machine Learning". The review results show that classic machine learning algorithms (e.g., Random Forest, SVM, and Decision Tree) are capable of making predictions with structured data, while deep learning approaches (LSTM, CNN, Autoencoder) are superior in processing complex and time-series data. Nevertheless, challenges still exist in the aspects of IoT device interoperability, data security, limitations of failure datasets, and the need for energy efficiency for real-time processing. This literature review contributes to summarizing the trends, advantages, and limitations of AI methods used in industrial IoT predictive maintenance. Future development potential includes the application of Edge AI for efficient computing, Federated Learning for data privacy, and Digital Twin integration to improve the accuracy of predictive simulations. By addressing these challenges, AI-powered predictive maintenance systems are expected to become a key pillar in supporting reliable, efficient, and highly competitive industrial performance in the digital age.
THE INFLUENCE OF ORGANIZATIONAL COMMUNICATION ON EMPLOYEE ENGAGEMENT Riani Prihatini Ishak; Made Ayu Anggreni; Dhiraj Kelly Sawlani
INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS Vol. 2 No. 9 (2025): INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS (IJEFE)
Publisher : CV. Adiba Aisha Amira

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This study aims to examine the influence of organizational communication on employe engagement thru a literature review approach. Employe engagement has become one of the important factors in improving organizational performance because it is related to the emotional, cognitive, and behavioral involvement of employes with their work and the organization. Organizational communication serves as the main tool in building trust, transparency, and effective working relationships between leaders and employes. The research method used is a literature review by analyzing various reputable national and international journal articles relevant to the research topic. Data analysis was conducted using a thematic analysis approach and literature synthesis to identify patterns of relationships between organizational communication and employe engagement. The study results show that organizational communication has a significant impact on employe engagement thru several key mechanisms, namely increased job satisfaction, communicative leadership, and the creation of a positive communication environment. Open, transparent, and two-way communication has proven to enhance employes' sense of appreciation, trust, and work motivation. Additionally, the quality of internal communication, which includes clarity of task information, feedback provision, and supportive communication, becomes an important determinant in building employe engagement. Theoretically, this research reinforces the role of organizational communication from the perspective of organizational behavior and human resource management. Practically, the research findings provide implications for organizations to develop effective internal communication strategies to sustainably enhance employe engagement.
Co-Authors M. Ridho Made Ayu Anggreni Riani Prihatini Ishak Sukril Rahman Zega