Design of Monitoring Dashboard for Mining Pump with Design Thinking and Acceptance Analysis with Technology Acceptance Model
Abstract
PT SBS is a pump manufacturing company that conducts Factory Acceptance Tests (FAT) prior to field deployment. Current FAT procedures require personnel to physically enter hazardous zones generating three fundamental problems: high occupational safety risks, low data validity from human and parallax error, and limited information transparency for customers. This research designs a SCADA-based monitoring system using Design Thinking as the design methodology and the Technology Acceptance Model extended with TAM3 external variables as the technology acceptance evaluation framework. Design Thinking was applied through five stages (Empathize, Define, Ideate, Prototype, Test) using Node-RED, while acceptance evaluation utilized questionnaires from 60 PT SBS workshop employees analyzed via PLS-SEM using SmartPLS 4. Design Thinking produced a SCADA dashboard eliminating the requirement for operators to enter hazardous zones during testing. TAM evaluation confirmed all 26 indicators are valid (AVE > 0.50) and reliable (α > 0.80). The model explains 72.1% of Actual Usage variance. Attitude Toward Using is the sole direct predictor of Actual Usage (β = 0.849; f² = 0.882, large effect), fully mediated by PU (β = 0.454; p = 0.000) and PEOU (p = 0.005). Technology Self-Efficacy is the strongest predictor of PEOU among external variables (β = 0.494; p = 0.000), followed by Perceived Enjoyment (β = 0.270; p = 0.004). Perception of External Control and Technology Anxiety were not significant. This research concludes that integrating Design Thinking and TAM produces a system well-accepted across all user levels, with occupational safety motivation
as the primary driver of actual usage.
References
Benharkat, N. E. H., Bentaalla Kaced, S., Chakhrit, A., & Chergui, A. (2026). Automatic real-time ergonomic posture assessment using digital models: a case study of manual handling tasks. The International Journal of Advanced Manufacturing Technology, 142(1), 963-980. https://doi.org/10.1007/s00170-025-17232-w
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588
Brown, S. A., Massey, A. P., Montoya-Weiss, M. M., & Burkman, J. R. (2002). Do I really have to? User acceptance of mandatory technology. European Journal of Information Systems, 11(4), 283–295. https://doi.org/10.1057/palgrave.ejis.3000438
Cacciuttolo, C., & Atencio, E. (2023). In-pit disposal of mine tailings for a sustainable mine closure: A responsible alternative to develop long-term green mining solutions. Sustainability, 15(8), 6481. https://doi.org/10.3390/su15086481
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Deros, B. M., Daruis, D. D. I., Rosly, A. L., Abd Aziz, I., Hishamuddin, N. S., Abd Hamid, N. H., & Roslin, S. M. (2017). Ergonomic risk assessment of manual material handling at an automotive manufacturing company. PressAcademia Procedia, 5(1), 317–324. https://doi.org/10.17261/Pressacademia.2017.606
Devrath, S. C., Nag, A., & Pareek, S. (2025). Transforming Mining Regions through Sustainable Redevelopment with Urban Voids and Underground Housing. Journal of Mining and Environment, 16(4), 1319-1342. https://doi.org/10.22044/jme.2025.15649.3005
Enam, M. M. R., Joarder, M. M. I., Taimun, M. T. Y., & Sharan, S. M. I. (2025). Framework for smart SCADA systems: Integrating cloud computing, IIoT, and cybersecurity for enhanced industrial automation. Saudi Journal of Engineering and Technology, 10(4), 152-158. https://doi.org/10.36348/sjet.2025.v10i04.005
Enam, M. M. R., Joarder, M. M. I., Taimun, M. T. Y., & Sharan, S. M. I. (2025). Framework for smart SCADA systems: Integrating cloud computing, IIoT, and cybersecurity for enhanced industrial automation. Saudi Journal of Engineering and Technology, 10(4), 152-158. https://doi.org/10.36348/sjet.2025.v10i04.005
Eso, A., & Eseosa, O. (2022). Real-time effective monitoring and control in oil and gas industry using SCADA technology as a management tool. Journal of Alternative and Renewable Energy Sources, 8(2), 22-38. https://doi.org/10.46610/JOARES.2022.v08i02.004
Gu, H., Feng, F., & Zhao, Y. (2025). Water-Induced Geological Disaster Prevention and Sustainable Water Resource Utilization in Mines. Water, 18(1), 86. https://doi.org/10.3390/w18010086
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Hasso, E. A. (2025). The Evolution and Integration of SCADA and HMI Systems in Industrial Automation. In Advances in Communication, Signal and Image Processing (pp. 27-45). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-95-0401-5_2
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424
Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal, 28(1), 227–261. https://doi.org/10.1111/isj.12131
Kurniawan, T. A. (2020). User interface design for IoT monitoring dashboard using design thinking approach. International Journal of Advanced Computer Science and Applications, 11(6), 1–7.
Mardonova, M., & Han, Y. S. (2023). Environmental, hydrological, and social impacts of coal and nonmetal minerals mining operations. Journal of Environmental Management, 332, 117387. https://doi.org/10.1016/j.jenvman.2023.117387
Mhlongo, S. E. (2023). Evaluating the post-mining land uses of former mine sites for sustainable purposes in South Africa. Journal of Sustainable Mining, 22. https://doi.org/10.46873/2300-3960.1381
Mohammad, R., Verhappen, I., & Vali, R. (2025). SCADA: Supervisory Control and Data Acquisition. Oil and Gas Pipelines: Integrity, Safety, and Security Handbook, 1, 115-138. https://doi.org/10.1002/978111990966
Morton, J. (2025). Proverbs of Dewatering: Suppliers deliver solutions that align with the simple, universal truths of pit dewatering. Engineering and Mining Journal, 226(8), 26-31.
Nigatu, S. T., Asemahagn, M. A., & Endaza, B. (2024). Health professionals’ technology readiness on the acceptance of teleradiology in Amhara, Ethiopia. BMC Medical Informatics and Decision Making, 24(1), 1–12. https://doi.org/10.1371/journal.pone.0301021
Nuruzzaman, M. (2025). IoT-enabled condition monitoring in power distribution systems: a review of scada-based automation, real-time data analytics, and cyber-physical security challenges. Journal of Sustainable Development and Policy. https://doi.org/10.63125/pyd1x841
Odebiyi, D. O., & Okafor, U. A. C. (2023). Musculoskeletal disorders, workplace ergonomics and injury prevention. In Ergonomics-new insights. IntechOpen. https://doi.org/10.5772/intechopen.106031
Ogedengbe, T. S., Abiola, O. A., Ikumapayi, O. M., Afolalu, S. A., Musa, A. I., Ajayeoba, A. O., & Adeyi, T. A. (2023). Ergonomics postural risk assessment and observational techniques in the 21st century. Procedia Computer Science, 217, 1335-1344. https://doi.org/10.1016/j.procs.2022.12.331
Pirouzi, A., Asrami, M. R., & Sabzehmeidani, M. M. (2025). Advancement factors in sludge dewatering technology for wastewater treatment from engineering and economic perspectives: A review. Environmental Functional Materials. https://doi.org/10.1016/j.efmat.2025.10.002
Rodríguez, J. E., Razo, I., & Lázaro, I. (2023). Water footprint for mining process: A proposed method to improve water management in mining operations. Cleaner and Responsible Consumption, 8, 100094. https://doi.org/10.1016/j.clrc.2022.100094
Said, A., Othman, S., Elgendy, M., Wassem, R., Mushtaha, A., & Lamay, M. (2026). Dewatering in Construction: An Integrated Evaluation of Conventional and Advanced Techniques in Egypt and the Gulf Region. Advanced Sciences and Technology Journal, 4(1), 1-23.
Said, N. I., & Yudo, S. (2021). Status kualitas air di kolam bekas tambang batubara di Tambang Satui, Kabupaten Tanah Laut, Kalimantan Selatan. Jurnal Teknologi Lingkungan, 22(1), 48–57. https://doi.org/10.29122/jtl.v22i1.3900
Setiawan, A. (2020). Analisis penerimaan sistem SCADA menggunakan metode TAM pada PT. PLN. Jurnal Teknik Elektro, 12(2), 45–52.
Sharma, R. (2024). Enhancing industrial automation and safety through real-time monitoring and control systems. International Journal on Smart & Sustainable Intelligent Computing, 1(2), 1-20. https://doi.org/10.63503/j.ijssic.2024.30
Sverko, M., Grbac, T. G., & Mikuc, M. (2022). Scada systems with focus on continuous manufacturing and steel industry: A survey on architectures, standards, challenges and industry 5.0. IEEE access, 10, 109395-109430. https://doi.org/10.1109/ACCESS.2022.3211288
Vasnier, J. M., Maranzana, N., Messaadia, M., & Aoussat, A. (2020). Preliminary design and evaluation of strategic dashboards through the technology acceptance model. In Proceedings of the Design Society: DESIGN Conference. https://doi.org/10.1017/dsd.2020.18
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Werbinska-Wojciechowska, S., & Rogowski, R. (2025). Proactive maintenance of pump systems operating in the mining industry—A systematic review. Sensors, 25(8), 2365. https://doi.org/10.3390/s25082365
Widajati, N. (2025). Workplace hazards and their impacts on worker health and safety across multiple industries: A comprehensive review. The Indonesian Journal of Occupational Safety and Health, 14(1), 1–3. https://doi.org/10.20473/ijosh.v14i1.2025.1-3
Yulius, R., & Pratama, A. R. (2022). Perancangan UI/UX design pada dashboard monitoring proyek menggunakan metode design thinking. e-Proceeding of Engineering, 9(3), 1540–1548. https://doi.org/10.34818/eoe.v8i5.16007
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