Leveraging Social Network Analysis for Enhancing Safety Reporting in the Workplace:
A Case Study of the IZAT Application
Keywords:
Reporting, Safety Culture, Unsafe Condition, Occupational Health and Safety, Social Network AnalysisAbstract
Unsafe Condition Reporting is an important source of information for companies to determine whether the reporting can be identified effectively as the key to reducing work accidents. This research aims to ascertain the Social Network Analysis visualization network in the context of reporting unsafe conditions in the IZAT application and categorizing data processing outcomes. The findings revealed that the data collection process yielded 26,658 data items. The Unsafe Condition content comprised 79,667 words, with 2,388 unique words identified. The average number of occurrences per word was 33.36139. Certain network property calculations can be inferred from these results. Then, the word mapping with five related topics was carried out. The results of the categorization of the unsafe condition word mapping can be used as evaluation material for companies to prevent work accidents. In particular, the network visualization results can identify the most discussed topics and social network relationships of reporting in the IZAT application.
References
M. Hoeft and C. Trask, “Safety built right in: Exploring the occupational health and safety potential of bim-based platforms throughout the building lifecycle,” Sustainability, vol. 14, no. 10, 2022, doi: 10.3390/su14106104.
J. M. Kim, K. Son, S. G. Yum, and S. Ahn, “Analyzing the risk of safety accidents: The relative risks of migrant workers in construction industry,” Sustainability, vol. 12, no. 13, pp. 1–11, 2020, doi: 10.3390/ su12135430.
G. Baldissone, L. Comberti, S. Bosca, and S. Murè, “The analysis and management of unsafe acts and unsafe conditions. Data collection and analysis,” Safety Science, vol. 119, no. September 2017, pp. 240–251, 2019, doi: 10.1016/j.ssci.2018.10.006.
M. Rantala, M. Lindholm, and S. Tappura, “Supporting occupational health and safety risk assessment skills: A case study of five companies,” International Journal of Environmental Research and Public Health, vol. 19, no. 3, 2022, doi: 10.3390/ijerph19031720.
N. R. Nayak, S. Kumar, D. Gupta, A. Suri, M. Naved, and M. Soni, “Network mining techniques to analyze the risk of the occupational accident via bayesian network,” International Journal of System Assurance Engineering and Management, vol. 13, no. January, pp. 633–641, 2022, doi: 10.1007/s13198-021-01574-1.
G. Hrenov, “Conceptual model for the development of OHS management in SMEs,” Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), pp. 2718–2725, 2023, doi: 10.3850/978-981-18-5183-4_s18-05-625-cd.
R. N. Dewi, “Occupational health and safety risk analysis using AS/NZS standard 4360:2004 in a fish meatball industry,” Journal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 25, no. 1, pp. 31–42, 2023, doi: 10.9744/jti.25.1.31-42.
M. K. Buniya, I. Othman, R. Y. Sunindijo, A. F. Kineber, E. Mussi, and H. Ahmad, “Barriers to safety program implementation in the construction industry,” Ain Shams Engineering Journal, vol. 12, no. 1, pp. 65–72, 2021, doi: 10.1016/j.asej.2020.08.002.
A. Asgarian, P. Mahjour, H. Heidari, N. Khademi, K. Ghassami, and A. Mohammadbeigi, “Barriers and facilities in reporting medical errors: A systematic review study,” Adv. Hum. Biol., vol. 11, no. 1, p. 17, 2021, doi: 10.4103/aihb.aihb_80_20.
K. Najihah, C. S. Salmira, S. Ramadhani, N. Apriani, and S. S. Hasibuan, “Identify potential dangers of unsafe action and unsafe conditions with work accidents,” Journal of Asian Multicultural Research for Medical and Health Science Study, vol. 1, no. 2, pp. 1–23, 2020, doi: https://doi.org/10.47616/jamrmhss. v1i2.39.
Z. F. Olcay, S. Temur, and A. E. Sakalli, “A research on the knowledge level and safety culture of students taking occupational health and safety course,” Cypriot Journal of Educational Sciences, vol. 16, no. 1, pp. 187–200, 2021, doi: 10.18844/cjes.v16i1.5519.
M. Duryan, H. Smyth, A. Roberts, S. Rowlinson, and F. Sherratt, “Knowledge transfer for occupational health and safety: Cultivating health and safety learning culture in construction firms,” Accident Analysis & Prevention, vol. 139, no. January, p. 105496, 2020, doi: 10.1016/j.aap.2020.105496.
T. Diah and A. P. Pratiwi, “Hubungan unsafe action dan unsafe condition terhadap kecelakaan kerja pada perawat RSUD Haji Makassar,” Jurnal Dinamika Kesehatan Masyarakat, pp. 1–8, 2023.
A. S. Sinaga et al., “Unsafe condition and unsafe action risk control efforts for medical equipment repair workers at the haji general hospital Medan,” Contagion Scientific Periodical Journal of Public Health and Coastal Health, vol. 4, no. 2, pp. 205–212, 2022.
A. Rafindadi et al., “Analysis of the causes and preventive measures of fatal fall-related accidents in the construction industry,” Ain Shams Engineering Journal, vol. 13, no. 4, 2022.
P. K. Marhavilas and D. E. Koulouriotis, “Risk-acceptance criteria in occupational health and safety risk-assessment—the state-of-the-art through a systematic literature review,” Safety, vol. 7, no. 4, 2021, doi: 10.3390/safety7040077.
H. Mohammadi, H. Rabiei, and S. F. Dehghan, “Editorial: Emerging technologies in occupational health and safety,” Front. Public Health, vol. 11, 2023, doi: 10.3389/fpubh.2023.1117396.
M. Abeje and F. Luo, “The Influence of safety culture and climate on safety performance: Mediating role of employee engagement in manufacturing enterprises in Ethiopia,” Sustainability, vol. 15, no. 14, 2023, doi: 10.3390/su151411274.
E. J. Tetzlaff, K. A. Goggins, A. L. Pegoraro, S. C. Dorman, V. Pakalnis, and T. R. Eger, “Safety culture: A retrospective analysis of occupational health and safety mining reports,” Safety Health Work, vol. 12, no. 2, pp. 201–208, 2021, doi: 10.1016/j.shaw.2020.12.001.
L. Yuliana and D. Ardhyaksa, “Analysis of unsafe action and unsafe condition based on occupational health and safety reporting programs,” Journal of Global Research in Public Health, vol. 4, no. 2, pp. 78–86, 2019.
L. Hou, S. Wu, G. K. Zhang, Y. Tan, and X. Wang, “Literature review of digital twins applications in constructionworkforce safety,” Appled Sciences, vol. 11, no. 1, pp. 1–21, 2021, doi: 10.3390/app11010339.
A. Kumari, R. K. Behera, K. S. Sahoo, A. Nayyar, A. Kumar Luhach, and S. Prakash Sahoo, “Supervised link prediction using structured-based feature extraction in social network,” Concurrency and Computation: Practice and Experience, vol. 34, no. 13, 2022, doi: 10.1002/cpe.5839.
G. F. Khan, M. Sarstedt, W. L. Shiau, J. F. Hair, C. M. Ringle, and M. P. Fritze, “Methodological research on partial least squares structural equation modeling (PLS-SEM): An analysis based on social network approaches,” Internet Research, vol. 29, no. 3, pp. 407–429, 2019, doi: 10.1108/IntR-12-2017-0509.
T. M. Marshall, “Risk perception and safety culture: Tools for improving the implementation of disaster risk reduction strategies,” International Journal of Disaster Risk Reduction, vol. 47, no. February, p. 101557, 2020, doi: 10.1016/j.ijdrr.2020.101557.
Y. Feng and M. T. Trinh, “Developing resilient safety culture for construction projects,” Journal of Construction Engineering and Management, vol. 145, no. 11, 2019, doi: 10.1061/(asce)co.1943-7862.0001720.
E. J. Tetzlaff, K. A. Goggins, A. L. Pegoraro, S. C. Dorman, V. Pakalnis, and T. R. Eger, “Safety culture: A retrospective analysis of occupational health and safety mining reports,” Safety and Health at Work, vol. 12, no. 2, pp. 201–208, 2021, doi: 10.1016/j.shaw.2020.12.001.
J. Zhang, J. Fu, H. Hao, G. Fu, F. Nie, and W. Zhang, “Root causes of coal mine accidents: Characteristics of safety culture deficiencies based on accident statistics,” Process Safety and Environmental Protection, vol. 136, pp. 78–91, 2020, doi: 10.1016/j.psep.2020.01.024.
K. Jilcha and D. Kitaw, “Industrial occupational safety and health innovation for sustainable development,” Engineering Science and Technology an International Journal, vol. 20, no. 1, pp. 372–380, 2017, doi: 10.1016/j.jestch.2016.10.011.
C. Tartaglia Reis, S. G. Paiva, and P. Sousa, “The patient safety culture: A systematic review by characteristics of Hospital survey on patient safety culture dimensions,” International Journal for Quality in Health Care, vol. 30, no. 9, pp. 660–677, 2018, doi: 10.1093/intqhc/mzy080.
L. Petitta, T. M. Probst, C. Barbaranelli, and V. Ghezzi, “Disentangling the roles of safety climate and safety culture: Multi-level effects on the relationship between supervisor enforcement and safety compliance,” Accident Analysis & Prevention, vol. 99, pp. 77–89, 2017, doi: 10.1016/j.aap.2016.11.012.
M. Mambwe, E. M. Mwanaumo, W. D. Thwala, and C. O. Aigbavboa, “Evaluating occupational health and safety management strategy success factors for small-scale contractors in zambia,” Sustainability, vol. 13, no. 9, 2021, doi: 10.3390/su13094696.
A. J. Al-Bayati, “Impact of construction safety culture and construction safety climate on safety behavior and safety motivation,” Safety, vol. 7, no. 2, 2021, doi: 10.3390/SAFETY7020041.
X. Zhen, J. E. Vinnem, and S. Næss, “Building safety in the offshore petroleum industry: Development of risk-based major hazard risk indicators at a national level,” Process Safety and Environmental Protection, vol. 128, pp. 295–306, 2019, doi: 10.1016/j.psep.2019.06.006.
L. Ding, F. Khan, and J. Ji, “Risk-based safety measure allocation to prevent and mitigate storage fire hazards,” Process Safety and Environmental Protection, vol. 135, pp. 282–293, 2020, doi: 10.1016/j.psep. 2020.01.008.
N. Jadidi and A. A. Bazdar, “Safety risk management in production process: A case study in the automotive supplier industry,” International Journal of Reliability, Risk & Safety Theory and Application, vol. 3, no. 1, pp. 85–95, 2020, doi: 10.30699/ijrrs.3.1.10.
Y. Jin, J. Zhang, and L. Sun, “Safety risk assessment of prefabricated building construction based on bayesian network,” IOP Conference Series: Earth and Environmental Science, vol. 371, no. 3, 2019, doi: 10.1088/1755-1315/371/3/032052.
V. D. Tran and N. M. T. Le, “Impact of service quality and perceived value on customer satisfaction and behavioral intentions: Evidence from convenience stores in Vietnam,” The Journal of Asian Finance, Economics and Business, vol. 7, no. 9, pp. 517–526, 2020, doi: 10.13106/JAFEB.2020.VOL7.NO9.517.
D. Kashmiri, F. Taherpour, M. Namian, and E. Ghiasvand, “Construction research congress 2020 809,” Constr. Res. Congr., vol. 007, no. 1994, pp. 809–818, 2020.
Sunaryo and M. A. Hamka, “Safety risks assessment on container terminal using hazard identification and risk assessment and fault tree analysis methods,” Procedia Engineering, vol. 194, pp. 307–314, 2017, doi: 10.1016/j.proeng.2017.08.150.
E. Ilbahar, A. Karaşan, S. Cebi, and C. Kahraman, “A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system,” Safety Science, vol. 103, no. October 2017, pp. 124–136, 2018, doi: 10.1016/j.ssci.2017.10.025.
Z. Z. Wang and C. Chen, “Fuzzy comprehensive Bayesian network-based safety risk assessment for metro construction projects,” Tunnelling and Underground Space Technology, vol. 70, no. August, pp. 330–342, 2017, doi: 10.1016/j.tust.2017.09.012.
E. R. Kabul, S. N. Ramadhan, S. Sukiman, and H. Madiistriyatno, “Analysis of safety management system implementation and occupational health based on PP No 50 Year 2012,” Eduvest - Journal of Universal Studies, vol. 2, no. 2, pp. 196–206, 2022, doi: 10.36418/edv.v2i2.359.
O. S. Tashia and J. Jamaluddin, “Evaluation of occupational health and safety management system at haji hospital Medan,” Jurnal Perilaku Kesehatan Terpadu, vol. 2, no. 1, pp. 62–68, 2023, doi: 10.61963/jpkt.v2i1.60.
R. H. Mayangkara, A. A. Subiyanto, and D. G. Tamtomo, “Implementation of hospital occupational health and safety regulations to minimize occupational accidents at the Sultan Agung Islamic Hospital, Semarang,” Journal of Health Policy and Management, vol. 6, no. 3, pp. 160–167, 2021, doi: 10.26911/ thejhpm.2021.06.03.01.
A. Soltanzadeh, H. Heidari, M. Mahdinia, H. Mohammadi, A. Mohammadbeigi, and I. Mohammadfam, “Path analysis of occupational injuries based on the structural equation modeling approach: A retrospective study in the construction industry,” Iran Occup. Heal., vol. 16, no. 3, pp. 47–57, 2019.
N. Hasanspahić, V. Frančić, S. Vujičić, and L. Maglić, “Reporting as a key element of an effective near-miss management system in shipping,” Safety, vol. 6, no. 4, pp. 1–15, 2020, doi: 10.3390/safety6040053.
J. Park, K. Kim, and Y. K. Cho, “Framework of automated construction-safety monitoring using cloud-enabled BIM and BLE mobile tracking sensors,” Journal of Construction Engineering and Management, vol. 143, no. 2, 2017, doi: 10.1061/(asce)co.1943-7862.0001223.
M. G. Gnoni and J. H. Saleh, “Near-miss management systems and observability-in-depth: Handling safety incidents and accident precursors in light of safety principles,” Safety Science, vol. 91, pp. 154–167, 2017, doi: 10.1016/j.ssci.2016.08.012.
J. Farokhzadian, N. Dehghan Nayeri, and F. Borhani, “The long way ahead to achieve an effective patient safety culture: Challenges perceived by nurses,” BMC Health Services Research, vol. 18, no. 1, pp. 1–13, 2018, doi: 10.1186/s12913-018-3467-1.
A. S. Rachma, R. Ambarwati, and M. Yani, “Comparison of Twitter users’ perception of content marketing effectiveness and service quality in two online transportation,” Almana Jurnal Manajemen dan Bisnis, vol. 7, no. 1, pp. 134–146, 2023, doi: 10.36555/almana.v7i1.2132.
A. Wajahat et al., “Interactively visualize and analyze social network Gephi,” 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies iCoMET 2020, no. January 2021, 2020, doi: 10.1109/iCoMET48670.2020.9073812.
P. Svec, L. Benko, M. Kadlecik, J. Kratochvil, and M. Munk, “Web usage mining: Data pre-processing impact on found knowledge in predictive modelling,” Procedia Computer Science, vol. 171, no. 2019, pp. 168–178, 2020, doi: 10.1016/j.procs.2020.04.018.
G. Yunanda, D. Nurjanah, and S. Meliana, “Recommendation system from microsoft news data using tf-idf and cosine similarity methods,” Building of Informatics, Technology and Science, vol. 4, no. 1, pp. 277–284, 2022, doi: 10.47065/bits.v4i1.1670.
S. Sakthi Vel, “Pre-Processing techniques of text mining using computational linguistics and python libraries,” Proceedings International Conference on Artificial Intelligence Smart Systems ICAIS 2021, no. March, pp. 879–884, 2021, doi: 10.1109/ICAIS50930.2021.9395924.
N. Shelke, S. Chaudhury, S. Chakrabarti, S. L. Bangare, G. Yogapriya, and P. Pandey, “An efficient way of text-based emotion analysis from social media using LRA-DNN,” Neuroscience Informatics, vol. 2, no. 3, p. 100048, 2022, doi: 10.1016/j.neuri.2022.100048.
J. R. Saura, D. Palacios-Marqués, and D. Ribeiro-Soriano, “Using data mining techniques to explore security issues in smart living environments in Twitter,” Computer Communications, vol. 179, no. July, pp. 285–295, 2021, doi: 10.1016/j.comcom.2021.08.021.
Z. Hou, F. Cui, Y. Meng, T. Lian, and C. Yu, “Opinion mining from online travel reviews: A comparative analysis of Chinese major OTAs using semantic association analysis,” Tourism Management, vol. 74, no. January, pp. 276–289, 2019, doi: 10.1016/j.tourman.2019.03.009.
M. Jacomy, T. Venturini, S. Heymann, and M. Bastian, “ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software,” PLoS One, vol. 9, no. 6, pp. 1–12, 2014, doi: 10.1371/journal.pone.0098679.
H. S. Lee and W. S. Lee, “Network connectedness among Northeast Asian financial markets,” Emerging Markets Finance and Trade, vol. 56, no. 13, pp. 2945–2962, 2020, doi: 10.1080/1540496X.2019.1668267.
A. K. Shaikh, M. Al-Shamli, and A. Nazir, “Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA),” Journal of Big Data, vol. 8, no. 1, 2021, doi: 10.1186/s40537-021-00411-3.
J. Vassey et al., “E-cigarette brands and social media influencers on Instagram: a social network analysis,” Tobacco Control, 2022, doi: 10.1136/tobaccocontrol-2021-057053.
M. Valeri and R. Baggio, “Social network analysis: Organizational implications in tourism management,” International Journal of Organizational Analysis, vol. 29, no. 2, pp. 342–353, 2021, doi: 10.1108/IJOA-12-2019-1971.
X. Kong, Y. Shi, S. Yu, J. Liu, and F. Xia, “Academic social networks: Modeling, analysis, mining and applications,” Journal of Network and Computer Applications, vol. 132, no. February, pp. 86–103, 2019, doi: 10.1016/j.jnca.2019.01.029.
F. A. Nurjanah, R. Ambarwati, and H. M. K. Sari, “Analysis of cashback promotion in the fintech industry among user interaction,” Jurnal Fokus Manajemen Bisnis, vol. 13, no. 2, pp. 152–163, 2023, doi: 10.12928/fokus.v13i2.8515.
M. P. Ramadani, R. Ambarwati, and M. Hariasih, “Online travel agent marketing strategy through social interaction during the pandemic COVID-19,” Jurnal Sisfokom (Sistem Informasi dan Komputer), vol. 12, no. 2, pp. 169–177, 2023, doi: 10.32736/sisfokom.v12i2.1553.
S. P. Anjania and R. Ambarwati, “Analysis of the credibility of utilizing brand ambassador to compete between shopee and Tokopedia using social network analysis on Twitter,” Jurnal Manajemen (Edisi Elektronik), vol. 14, no. 3, pp. 391–404, 2023, doi: 10.32832/jm-uika.v14i3.13777.
A. Ghahramani and A. Amirbahmani, “A qualitative investigation to discover causes of occupational injuries and preventive countermeasures in manufacturing companies,” Heliyon, vol. 8, no. 9, p. e10501, 2022, doi: 10.1016/j.heliyon.2022.e10501.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Paramitha Puspa , Rita Ambarwati, Dedy, Mashhura Toirхonovna Alimova
This work is licensed under a Creative Commons Attribution 4.0 International License.
Articles published in the Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY).
This work is licensed under a Creative Commons Attribution License (CC BY).
