Driving Towards Digitalization and Industry 4.0 in the Coal Mining Sector
Abstract
This research provides an in-depth analysis of the impact of digitalization on the coal mining sector, with a special focus on PT X. The study employs a combination of content analysis, narrative analysis, and business solution mapping to extract insights from interviews conducted with five key stakeholders at PT. X. The objective is to assess how technological advancements can elevate operational efficiency and competitiveness in the era of Industry 4.0, and to identify strategies for effectively reducing reliance on human resources in site monitoring, while ensuring employee satisfaction and smooth transition. Through the methodological triangulation of content and narrative analysis, the study distils crucial themes and perspectives from the interviews. It identifies that the integration of advanced technologies like IoT, data analytics, and automation is vital for enhancing operational efficiency and reducing operational downtime. The research highlights the importance of transitioning from manual to automated site monitoring, emphasizing the adoption of drones and automated systems to bolster operational accuracy and efficiency. A key finding of the study is the identification of potential obstacles in digital technology investment, such as cost, system integration challenges, and employee resistance to new technologies. The study suggests that overcoming these barriers requires effective communication strategies and comprehensive training programs for employees. Drawing on the successful digital transformation strategies of companies like Adaro, the research recommends that PT. X should adapt similar strategies, customized to its unique challenges and context. The study contributes valuable insights into the digital transformation process in the coal mining sector, offering practical recommendations for companies like PT. X navigating the complex landscape of Industry 4.0.
Keywords
Full Text:
PDFReferences
Ashima, R., Haleem, A., Bahl, S., Javaid, M., Mahla, S. K., & Singh, S. (2021). Automation and manufacturing of smart materials in additive manufacturing technologies using Internet of Things towards the adoption of industry 4.0. Materials Today: Proceedings, 45, 5081–5088. https://doi.org/10.1016/J.MATPR.2021.01.583|
Asuman, M., Francis, K., & Sam, M. (2018). Employer branding and talent retention: perceptions of employees in higher education institutions in Uganda. Industrial and Commercial Training, 50(5), 217–233. https://doi.org/10.1108/ICT-03-2018-0031
Bhattacharyya, S. S., & Shah, Y. (2022). Emerging technologies in Indian mining industry: an exploratory empirical investigation regarding the adoption challenges. Journal of Science and Technology Policy Management, 13(2), 352–375. https://doi.org/10.1108/JSTPM-03-2021-0048/FULL/PDF
Bibri, S. E. (2018). The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability. Sustainable Cities and Society, 38, 230–253. https://doi.org/10.1016/J.SCS.2017.12.034
Communications, C. (2021, April 15). Digital Transformation in the Mining Sector. Retrieved from ABM Investama Tbk: https://abm-investama.com/page-detail/325/209/digital-transformation-in-the-mining-sector
Das, K., Gryseels, M., Sudhir, P., & Tan, K. (2016). Unlocking Indonesia's digital opportunity. McKinsey & Company.
Guan, X., & Frenkel, S. (2019). How perceptions of training impact employee performance. Personnel Review.
ITU. (2017). Measuring the Information Society Report 2017. Retrieved from Geneva: International Telecommunication Union:
https://www.itu.int/en/ITU-D/Statistics/Pages/publications/mis2017.aspx
Kelly, S. (2010). Qualitative interviewing techniques and styles. Sage Publications.
Kim, H., Sefcik, J., & Bradway, C. (2016). Characteristics of Qualitative Descriptive Studies: A Systematic Review. https://doi.org/10.1002/nur.21768.
Lambert, V., & Lambert, C. (2012). Qualitative Descriptive Research: An Acceptable Design. Pacific Rim International Journal of Nursing Research, 16(4), 255-256.
Lath, V., & Peacocke, G. (2020). How digital innovation will transform Indonesia's mining industry. McKinsey & Company.
Lee, S., & Choi, Y. (2016). Reviews of unmanned aerial vehicle (drone) technology trends and its applications in the mining industry. Geosystem Engineering, 19(4), 197–204. https://doi.org/10.1080/12269328.2016.1162115
Leong, C., Tan, F. T. C., Tan, B., & Faisal, F. (2022). The emancipatory potential of digital entrepreneurship: A study of financial technology-driven inclusive growth. Information & Management, 59(3), 103384. https://doi.org/10.1016/J.IM.2020.103384
Lesonsky, R. (2022, April 25). What’s Your Excuse for Not Having a Business Website? Retrieved from SCORE - For the Life of Your Business: https://www.score.org/resource/blog-post/what%E2%80%99s-your-excuse-not-having-a-business-website
Lööw, J., Abrahamsson, L., & Johansson, J. (2019). Mining 4.0—the Impact of New Technology from a Work Place Perspective. Mining, Metallurgy and Exploration, 36(4), 701–707. https://doi.org/10.1007/S42461-019-00104-9/METRICS
Mansell, R., & Silverstone, R. (1998). Communication by Design: The Politics of Information and Communication Technologies. In Communication by Design: The Politics of Information and Communication Technologies. (pp. 1-14). Oxford: Oxford University Press.
More, K. S., Wolkersdorfer, C., Kang, N., & Elmaghraby, A. S. (2020). Automated measurement systems in mine water management and mine workings – A review of potential methods. Water Resources and Industry, 24, 100136. https://doi.org/10.1016/J.WRI.2020.100136
Pavlikhina, A., Shishkin, S., & Shishkina, T. (2021). Digital Transformation in the Mining Sector: Exploring Global Technology Trends and Managerial Issues. E3S Web of Conferences.
Ranjan, J., Goyal, D. P., & Ahson, S. I. (2008). Data mining techniques for better decisions in human resource management systems. International Journal of Business Information Systems, 3(5), 464–481. https://doi.org/10.1504/IJBIS.2008.018597
Ritchie, J., & Lewis, J. (2003). Qualitative research practice: A guide for social science students and researchers. SAGE Publications.
Salam, A. (2020). Internet of things for sustainable mining. Internet of Things, 243–271. https://doi.org/10.1007/978-3-030-35291-2_8/COVER
Sugiyono. (2010). Metode penelitian pendidikan: pendekatan kuantitatif, kualitatif, dan R&D. Kaliabang, Kalimalang, Bogor A: ALFABETA.
Tejado-Ramos, J. J., Chocarro-León, M., Barrero-Béjar, I., Valverde-Calvo, A., Ferreras-Moreno, M., Giraldo-Pavón, F., & Tarragona-Pérez, C. (2021). Enhancement of the sustainability of wolfram mining using drone remote sensing technology. Remote Sensing Applications: Society and Environment, 23, 100542. https://doi.org/10.1016/J.RSASE.2021.100542
Wu, S. R., Shirkey, G., Celik, I., Shao, C., & Chen, J. (2022). A Review on the Adoption of AI, BC, and IoT in Sustainability Research. Sustainability (Switzerland), 14(13), 7851. https://doi.org/10.3390/SU14137851/S1
Yilmaz, K. (2013). Comparison of Quantitative and Qualitative Research Traditions: epistemological, theoretical, and methodological differences. European Journal of Education, 48(2), 311-325.
Zhang, Y., Li, R., Ding, G., Wang, J., & Wang, C. (2020). Industry Technology Dynamic Acquisition of Complex Products from Patent Networks. IFAC-PapersOnLine, 53(5), 875–880. https://doi.org/https://doi.org/10.1016/j.ifacol.2021.05.002
DOI: http://dx.doi.org/10.22441/jimb.v10i1.24864
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Jurnal Ilmiah Manajemen dan Bisnis
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Jurnal Ilmiah Manajemen dan Bisnis
Fakultas Ekonomi dan Bisnis Universitas Mercu Buana
Jl. Raya Meruya Selatan, Kembangan, Jakarta 11650
Tlp./Fax: +62215871335
ISSN: 2460-8424
E-ISSN: 2655-7274
http://publikasi.mercubuana.ac.id/index.php/jimb
This journal is indexed by:
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.