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International Journal of Artificial Intelligence Research
Published by STMIK Dharma Wacana
ISSN : -     EISSN : 25797298     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) majors areas of research that includes 1) Machine Learning and Soft Computing, 2) Data Mining & Big Data Analytics, 3) Computer Vision and Pattern Recognition, and 4) Automated reasoning. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : -
Articles 652 Documents
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Enterprise Resource Planning Implementation to Improve Business Efficiency: An Information Systems Perspective Using the Nursobah Model Akhira Akhira; Muhammad Syahrani; Ahmad Soni Adiffa
International Journal of Artificial Intelligence Research Vol 10, No 1 (2026)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v10i1.1755

Abstract

Enterprise Resource Planning (ERP) has emerged as one of the most significant technological innovations supporting organizational digital transformation by integrating various business functions into a unified information system. Despite the increasing adoption of ERP across different industries, many organizations continue to experience implementation challenges related not only to technological complexity but also to organizational communication, stakeholder engagement, and strategic management. Consequently, successful ERP implementation requires a comprehensive approach that integrates technological infrastructure with managerial and communication dimensions
Evaluation Of K3 Management And Risk Analysis In The Factory Environment Herotje Siwi; Jedithjah Naapia Tamedi Papia; Meike Negawati Kesek
International Journal of Artificial Intelligence Research Vol 10, No 1 (2026)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v10i1.1732

Abstract

This study aims to evaluate the implementation of K3 management and analyze the level of occupational risk in a manufacturing plant. The implementation of an K3 management system is a crucial aspect in maintaining worker safety, increasing productivity, and minimizing the potential for workplace accidents that could harm both the company and workers. The study used a descriptive quantitative approach, employing field observations, interviews, documentation, and questionnaires distributed to 150 respondents, including production operators, technical staff, and factory supervisors. Risk analysis was conducted using the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) method to identify potential hazards and determine the level of risk for each work activity.The results indicate that the implementation of K3 management in the factory environment has been quite successful. However, several weaknesses remain in the supervision of personal protective equipment (PPE) use, compliance with work procedures, and risk control of production machinery. Based on the hazard identification results, several dominant risks with high levels of risk were identified, namely noise exposure, accidents caused by production machinery, potential fires, and fatigue due to excessive workload. The evaluation revealed that the lack of regular training and low worker awareness were the main factors affecting the effectiveness of K3 implementation.This study also found that the implementation of administrative and technical risk controls can significantly reduce the potential for workplace accidents if implemented consistently. Furthermore, company management involvement in routine monitoring and evaluation is a crucial factor in improving occupational safety culture in industrial environments. This study recommends improving K3 training programs, strengthening monitoring systems, and optimizing the implementation of standard operating procedures (SOPs) to minimize occupational risks in the factory environment. With effective implementation of K3 management, companies can create a safe, healthy, and productive work environment for all workers.

Page 66 of 66 | Total Record : 652

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