Risk Of Occupational Accidents Research Articles

Enhancing safety of construction workers in Korea: an integrated text mining and machine learning framework for predicting accident types

Construction workers face a high risk of various occupational accidents, many of which can result in fatalities. This study aims to develop a prediction model for nine prevalent types of construction accidents, utilizing construction tasks, activities, and tools/materials as input features, through the application of machine learning-based multi-class classification algorithms. 152,867 construction accident summary reports, composed of both structured (construction task, construction activity, accident type) and unstructured data (tools/materials) were used for the study. The study employed several data processing techniques, including keyword extraction through text mining, Boruta feature selection, and SMOTE data resampling enhance model accuracy. Three performance metrics (Multi-class area under the receiver operating characteristic curve (MAUC), Multi-class Matthews Correlation Coefficient (MMCC), Geometric-mean (G-mean)) were used to compare the predictive performance of four machine learning algorithms, including Decision tree, Random forest, Naïve bayes, and XGBoost. Of the four algorithms, XGBoost showed the highest performance in predicting accident type (MAUC: 0.8603, MMCC: 0.3523, G-mean: 0.5009). Furthermore, a Shapley additive explanation (SHAP) analysis was conducted to visualize feature importance. The findings of this study make a valuable contribution to improving construction safety by presenting a prediction model for accident types derived from real-world big data.

THE RELATIONSHIP OF DRIVER BEHAVIOR AND RISK OF ACCIDENTS IN COAL TRANSPORT TRUCK DRIVERS

The death rate caused by road traffic accidents in Indonesia is still quite high, where some of these accidents involve trucking vehicles. The aims of this research was to determine the relationship between behavior and the risk of accidents in coal transport truck drivers at PT. X. The type of research used is analytical descriptive with a cross sectional approach. The study population was coal hauling truck drivers working at PT. X with a total sampling of 44 respondents. Based on the results of the study, it was found that most (75.0%) drivers have good knowledge; More than half (54.4%) of drivers are supportive of driving behavior; More than half of drivers (63.6%) have good measures against the risk of workplace accidents in coal truck drivers; And more than half of drivers (59.1%) are at risk of workplace accidents. There was no significant relationship between driver behavior, knowledge, attitudes and actions towards occupational accident risk in coal truck drivers. Insignificant research results cannot reduce the importance of risk control in the company because accidents risk death. To reduce the accident rate among truck drivers, it is necessary to provide facilities to increase intensive education and safety training.

ANALISIS RISIKO KERJA PADA PROSES PEMBUBUTAN MENGGUNAKAN METODE HIRARC

Poor management of occupational safety and health (OSH) has an impact on occupational accidents. This results in losses for both the individual worker and the company. Therefore, the occupational hazard accident risk analysis was carried out using the HIRARC (Hazard Identification Risk Assessment and Risk Control) method. Data collection was conducted from the business owners of SSBC (Sanggar Sarana Baja Cakra) Welding and Turning Shop, located in Cakranegara, Mataram, West Nusa Tenggara. There are 3 work activities for risk identification, namely the clamping process, the engraving process and the drilling process. The results of the analysis show that the highest level of occupational risk occurs during clamping and engraving process. For drilling, it's in low level of risk. As for risk management, it is mainly done for high-risk level. Immediate improvement is needed by providing personal protective equipment (PPE) to workers to reduce these risks. Based on these results, business owners can do evaluation on his business so occupational accidents can be in the workplace.

The Dominant Factors of Occupational Accident Risk Potential in Jember Regency

<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p><em>The construction industry sectors have a significant risk of work accidents, making it one of the industries with a relatively high level of risk. According to the ILO, in 2018, 2,78 million workers died each year due to work accidents (13,7%) and diseases due to occupation (86,3%). This study aims to analyze the risk of work accidents among informal housing construction workers in Jember Regency. This type of research is quantitative descriptive research. The research was conducted in housing that is under construction which is located in Sumbersari District, Patrang District, and Kaliwates District, Jember Regency. The population in this study involved informal construction workers in Jember Regency. The population in this study included an unlimited population because easily entered by anyone and as the characteristics of informal construction do not require special skills. The sampling technique used non-probability sampling techniques, the sample calculation used quota sampling. The number of samples used was 97 respondents. The Accidental Sampling technique was used to select the samples. Risk analysis was through the Delphi method. Based on the calculation of all the risks that exist, it is indicated that there are three hazard risks with priority status, which means that they require immediate treatment. The risk identified was the risk of falling at the roof work stage (CPE 211,22), the risk of electric shock during the electrical installation work stage (CPE 197,85), and the use of PPE during the roof work stage (CPE 184,75). There needs to be risk control concerning the hierarchy of hazard control.</em></p><p><em> </em></p></td></tr></tbody></table></div><strong><em>Keyword: </em></strong><em> <strong>Construction, informal, work accident</strong></em>

Analisis Risiko Penyakit dan Kecelakaan Kerja Menggunakan Model Upaya Kesehatan Kerja pada Home Industry Batik Pekalongan

Batik is one of the cultural heritages which is experiencing very rapid development, especially in small, medium and even large scale industries. The home batik industry in Pekalongan city can directly cause safety and health problems for its workers caused by the main factors in the production and work environment. Therefore, it is necessary to carry out further analysis of the risk factors due to work and work accidents that can occur in batik workers. This type of research is a descriptive observational study with an analytical approach. The population in this study is UMKM located in the Pekalongan City Region. The results obtained are 70% of batik workers are women, 90% of respondents are > 48 years old, as many as 78 & respondents have a working period of > 10 years. Conditions in the environment and activities in the batik industry can pose a risk to work accidents, this can be caused by a dusty work environment, using hot wax, the process of applying written and stamped batik, using chemicals in the coloring process, removing starch (pelorodan process). use hot water. So it can be concluded that the risk of occupational disease in craftsmen due to work on batik includes respiratory problems, skin irritation, fatigue, while the highest risk of work accidents is burns. Therefore, it is recommended that workers be more aware of the risk of occupational diseases and work accidents as a result of one of the consequences of work and the work environment so that occupational health and safety for individual work can be achieved.

MIARforest Reproducibility and Reliability for Assessing Occupational Risks in the Rainforest

The Method for the Integrated Assessment of Risks for rainforest (MIARforest) is a specific methodology for assessing the risk of occupational accidents associated with working in native tropical forests. MIARforest was validated for the results’ reproducibility and the reliability of calculated risk levels through the Delphi approach. Two rounds of questionnaires illustrating ten scenarios of activities associated with the logging process in the Eastern Amazon’s native rainforest (Brazil) were presented to forestry and occupational health and safety (OHS) experts. In the first round, the questionnaire was answered anonymously by 55 experts, and in the second, by 46. A percentage of agreement of at least 80% in each question was considered to close the process. Questions that did not meet the criterion in the first round were reassessed in the second round. The obtained results lead to the conclusion that MIARforest, an occupational accident risk assessment tool, has been effectively validated, demonstrating inter-rater reproducibility and reliability in determining risk values. These results highlight the objectivity and reliability of MIARforest.

Awareness among Healthcare Workers regarding Physical Hazards in Dental and Oral Hospitals of Semarang, Indonesia

Background: The hospital is a workplace that holds a potential risk of occupational diseases and work accidents for its workers. Physical factors are one of the factors that need to be properly evaluated to control these hazards. Objective: This study aimed to analyze the factors related to knowledge and awareness of physical hazards in the workplace. Methods: In this study, correlation analysis has been conducted using chi-square, and a cross-sectional design has been employed involving a sample of 200 workers from oral and dental hospitals in Semarang. This study has used several samples. The instrument used in this study has been a modification of the Victorian Trades Hall Council and Workplace Safety and Health Risk Management. The independent variables included in this study were individual characteristics, and physical hazards were taken as the dependent variable. A computer program was used for inputting, scoring, and tabulating the data, while the correlation was tested using chi-square. Results: The respondents in this study had a good level of knowledge of physical hazards, with 67% of knowledge accounting for the hazard of noise, 50% for the physical hazard of electricity and equipment, 51% for fire hazards, 63.5% for the physical hazard of exposure to lighting, 71.5% for the physical hazard of exposure to heat, 65% for the physical hazard of exposure to radiation, and 41.5% for the physical hazard of vibration. The years of service of the respondents accounted for a p-value of 0.045. Conclusion: The level of awareness of safety against physical hazards among workers in the studied hospitals has been found to be at an optimal level.

Impact of Shift Work on Excessive Daytime Sleepiness among Healthcare Shift Workers

Background: The circadian rhythm can disturb caused by the shift work system, that effect leading to daily sleepiness, and a higher risk of serious health problems. Many healthcare workers are shift workers. Being drowsy condition when one is not expected to be drowsy is called Excessive daytime sleepiness (EDS). EDS is associated with poor sleep hygiene, workspace errors, a lack of productivity, and lack of concentration which are significant safety concerns and a higher risk of occupational accidents among nightshift workers. This study aims to review the original studies on the association of shift work with excessive daytime sleepiness among healthcare shift workers. Methods: This article is a literature review consisting of journal articles. Articles were searched in the following databases PubMed, Scientific Scholar, Google Scholar, and EBSCO. The search terms used were ‘shift work’. ‘Excessive daytime sleepiness’ and Limitations included ‘English language’, ‘published between 2013-2023’, and ‘shift workers’.Results: Based on eleven articles that were analyzed, shift work and excessive daytime sleepiness are directly related to each other among shift workers. There are factors that cause EDS including lack of sleep duration and sleep quality, as well as several comorbidities, and the impact of EDS.

Risk Analysis of Occupational Hazards Using HIRADC Approach in the Implementation of Occupational Safety and Health Management System

The high construction intensity can increase the risk of construction work accidents if not supported by good work method planning, risk management, and supervision. Indonesian National Social Security Agency for Employment (BPJS) noted that in 2017 the number of work accidents reported reached 123,041 cases, while throughout 2018, it reached 173,105 cases. Furthermore, in 2019 it was 114,000 cases and experienced an increase in claims by 55.2% to 177,000 cases in 2020. Then, from January to September 2021, there were 82,000 work accidents and 179 occupational diseases, 65 percent of which were caused by Covid-19 [1]. One approach to risk management is Hazard Identification, Risk Assessment, and Determining Control (HIRADC) to identify hazards, assess whether the risks on the job fall into the category of danger or very dangerous, and control the hazards that will happen. The study's objectives include identifying jobs at risk of occupational accidents during construction, analyzing the level of risk of occupational accidents to implement the occupational safety and health management system during construction, and providing control measures to reduce the risk of accidents. The results of the study stated that from a total of 49 hazard identification in the project construction work, there are 142 accident risks, with a percentage of 14% of the risks included in the high-level risk criteria, 86% included in the medium-level risk criteria, and there are no risks in the low-level risk criteria.

Does Having Insurance Beneficial for The Indonesian Fisher’s Welfare?

Fishing is one of the occupations with a significant risk of occupational accidents, which is compounded by the advent of health problems resulting from the Covid-19 pandemic. Both of these risks can lower fisher’s earnings and affect their welfare. This research aims to examine how insurance ownership affected the degree of welfare among Indonesian fishers during the Covid-19 Pandemic. The author uses two different datasets from the National Socioeconomic Survey (Susenas) and applies the Propensity Score Matching (PSM) approach to address the research questions. The PSM method, one of the quasi-experiments approaches, ensures a causal relationship between the dependent variable and the independent variable. The fisher’s household expenditures serve as a proxy for its revenue, hence the greater the value, the more prosperous the fisher’s household. According to the study’s findings, owning health and occupational accident insurance can raise household expenses for fishers, which indicates that insurance ownership may have an impact on the degree of the well-being of Indonesian fishers. Furthermore, it was discovered by this study that the advantages enjoyed by a fisher in Western Indonesia and Eastern Indonesia differed significantly. Another finding is that the percentage of fishers in Indonesia who were covered by insurance was still relatively low. On the other hand, the value of the benefits that come with insurance ownership in fisher’s households is relatively high. As a result, the best advice that can be provided to the government of Indonesia is to encourage insurance ownership on the part of the fishers.

IMPLEMENTASI JOB SAFETY ANALYSIS DALAM PENANGANAN PENCEGAHAN KECELAKAAN KERJA DI PT.DNP

DNP (Dinamika Nusantara Perkasa) is a business company involved in the field of distributor sales & Repair Services of industrial machinery. . The urgency in conducting research on this company is based on the results of observational activities on observed objects that during the process of activities in performing repair services workers are sometimes less vigilant and careful so that the work they do is at risk in the incidence of a number of accidents. In order to resolve the issues that arise,, conducted research actions aimed at minimizing the occurrence of accidents with the implementation of Job Safety Analysis. In this study was conducted using a semi-qualitative method with data analysis of occupational accident risk that resulted in the conclusion of occupational accident risk at low risk level occurred in the activities of machine component replacement, medium risk accident level in the activities of the installation of knife components and lubricant, high risk level in the activities of material removal , repair of components with welding machines, repair installation of control panels and electric motors. Suggestions intended for the company are expected to require the company to provide personal protective equipment facilities and first aid kit when there are injured workers and the need for the company to emphasize the application of work accident control efforts to workers to minimize the risk of work accidents.

Head-mounted display versus computer monitor for visual attention screening: A comparative study

Visual attention is crucial to many tasks during working. When it is impaired, the risk of occupational accidents is increased. A potential accident prevention would be the tracking of employees' attentional states to construct break regimes. There is a promising visual attention test administered on a computer monitor (CM) that has several advantages over widely used continuous performance tests in detecting inattentiveness in occupational environments. However, as the setup with a CM is impractical for the use in particular working environments (e.g., lack of space or disturbing exposure to light), the test was implemented into a head-mounted display (HMD). This study aimed to investigate whether the HMD version of the test is a suitable alternative to the CM version. For this purpose, participants (N = 30; 20–29 y) performed both tests. The performance on the HMD was significantly lower than on the CM. Moreover, the performances were compared with normative data recorded with a CM in a previous study. These data significantly differ from the data recorded with the CM in the present study. This emphasizes the importance of a standardized test environment, which could be provided by an HMD. Conclusively, this study revealed that the new VR tool, based on a previous test designed to assess visual skills in a complex visual environment, exhibited good psychometric property regarding the reliability. In additional, no problems were revealed regarding the functionality and usability of the HMD.

Identifying Risk Factors and Evaluating Occupational Safety in South Korean Forestry Sector

The forestry industry poses a higher risk of occupational accidents than other sectors, and understanding the occurrence and characteristics of injuries and fatalities is crucial for improving the safety and health of workers and establishing future strategies. In South Korea, although occupational injuries have declined since 2010, the number of occupational accidents in forestry remains higher than that in other sectors. Occupational injuries and fatalities present considerable challenges, and thus, our objective was to analyze and compare forestry accidents between 2010 and 2020. The results indicate that the highest average number of injuries occurred among workers older than 51 years and those with less than 6 months of experience. Timber harvesting and silviculture are among the most dangerous operations in forestry. Based on the analyzed dataset, amputation and laceration injuries, as well as slip and trip injuries, were the most common, accounting for 29.2% and 22.3% of total annual occupational accidents, respectively. These results may be explained by the labor-intensive, steep terrain operations in forestry. Our findings represent an essential resource for improving worker safety and health.

Investigating the Work-related Accidents in Iran: Analyzing and Comparing the Factors Associated With the Duration of Absence From Work

Objectives: Work-related accidents as one of the most prominent indicators of safety and health in the industry play an undeniable role in developing and improving the quality of industrial health management. Therefore, their accurate analysis on a large scale is essential. To provide controlling solutions, we aimed to investigate the causes of occupational accidents in Iran for 10 years (2007-2017). Methods: At first, the reports of 10-year work-related accidents were taken from the Social Security Organization, then classified, and entered into SPSS software, version 18.0. Analyses were performed in two stages. Descriptive analyses were initially performed and then multivariate Cox regression was implemented to determine the significance of the effects of the identified factors. Accordingly, six parameters including the cause of the occurrence, gender, type of insurance, time of the accident, marital status, and type of accident were extracted as the effective factors. Next, the effect of each parameter was examined using multivariate Cox regression with a 95% confidence interval. Results: The findings showed that falls and slips (18.3%) and physical strikes (14.6%) were the most common causes of accidents, and carelessness (61.9%) and equipment density (21.1%) had the strongest impact on accidents. Accidents had the highest incidence rate from 9 AM to noon (34.77%). The findings also showed that accident location (P<0.001), cause of the accident (P<0.001), type of insurance (P<0.001), and age (P<0.001) had significant effects on the duration of absence from work. Moreover, the findings demonstrated that the mental condition of workers and workplace design/layout had the strongest impacts on the rate of accidents. Discussion: to control and reduce the risk of occupational accidents, appropriate working situations should be provided.

The Effect of Occupational Safety and Health on Employee Productivity at PG Wringin Anom Situbondo

The use of machine and tools in productivity process is very important. The risk of occupational accidents increases when employees work using machine and tools, so it is essential for a company to apply occupational safety and health to prevent the accidents while working. This study was conducted at PG. Wringin Anom Situbondo especially in installation. Data collection methods used in this study were observation, questionnaire, interview, and literature studies. A number of respondents was 49 respondents. Analytical techniques used were multiple linear regression, coefficient of determination analysis, F test, and t test. Based on the result of test through using of SPSS 16.0 for windows, it can be concluded that (1) variable safety (X1) has significant effect on workforce productivity (Y) of the employees in installation of PG. Wringin Anom Situbondo; (2) Work health variable (X2) has no significant effect on workforce productivity (Y) of the employees in installation of PG. Wrimgin Anom Situbondo; (3) Both of work safety (X1) and work health (X2) have significant effect of workforce productivity (Y) of the employees in installation of PG. Wringin Anom Situbondo; (4) the dominant variable that has significant effect on workforce productivity (Y) of the employees in PG. Wringin Anom Situbondo is work safety (X1).

Relationship Between Level of Knowledge with Behavior Using Personal Protective Equipment among Laboratory Workers at Al-Ihsan Hospital, Bandung, West Java

Background: Personal protective equipment (PPE) is mandatory equipment for workers to use while working in accordance with the hazards and risks that are being faced. This behavior of using PPE itself aims to isolate the workers’ bodies from hazards and risks of occupational accidents. Based on the results of observations, laboratory workers of Al-Ihsan Hospital Bandung still often ignored the use of PPE which may inflict the risk of the occurrence of occupational accidents. This study aims to analyze the relationship between the level of knowledge and the behavior of using PPE among laboratory workers of Al-Ihsan Hospital Bandung, West Java. Subjects and Method: It was a quantitative study with a cross-sectional study design conducted at Al-Ihsan Regional General Hospital Bandung from June to September 2022. The sample used was 43 laboratory workers. The dependent variable was the behavior of using personal protective equipment (PPE). The independent variable was the level of knowledge. Data collection was carried out using an online questionnaire. The data were analyzed using the Chi-Square test. Results: The level of knowledge relates to the use of PPE. Well-informed workers increased the behavior of using PPE by 60.0 times compared to workers with a low level of knowledge and it was statistically significant (OR= 60.0; 95% CI= 8.98 to 400.8; p<0.001). Conclusion: The level of knowledge is significantly related to the behavior of using PPE. Keywords: behavior of using PPE, level of knowledge, and laboratory workers

Occupational Safety and Health Risk Assessment in an Electronic Manufacturing Company in Indonesia

The health and safety team at Sharp Electronics Indonesia Ltd identified two departments that urgently needed evaluation: Cabinet PU B Department and Total PU B Department, as they have the highest potential for accidents. Based on historical data from work accident reports from the Refrigerator Division between 2015 and the beginning of January 2020, two departments had a tendency to experience work accidents annually: the Door PU A Department and the Roll Forming B Department. The objective was to identify potential hazards in the production process, assess the risk that arises from the production process, and provide risk control recommendations for each department in the Refrigerator Division. The HIRARC approach was used to identify potential dangers by linking potential hazards between workers, tasks, work equipment, and the work environment in an orderly manner. Hazards were identified using the JSA method. Risk assessment was conducted using a semi-quantitative analysis, and risk control was done using a risk control hierarchy. Based on the risk assessment, the risks that needed to be addressed through risk control were head injury, being hit by a cabinet, decreased hearing function, lower back pain, being hit by a compressor, and having a hand clamped by a conveyor. The identification and assessment of occupational accident risks in the four departments revealed six potential occupational accident risks. The highest risk value was head injury and being hit by a cabinet, which were in the very high category in the Cabinet PU B and Total PU B departments.

Assess the effectiveness of structured teaching program on knowledge, attitude and practices regarding preventive measures among solid waste collectors

Solid waste collectors are exposed to occupational health and accident risks related to the content of the materials they handled, emissions from those materials, and the equipment‘s being used. Several studies have reported that Solid waste collectors have got the high risk of occupational health hazards. The important morbidity that has been commonly observed among workers is respiratory diseases, eye diseases, dermatological problems, nail infections, musculoskeletal morbidities and water-borne diseases. The most common health problem investigated among this working group includes respiratory symptoms, irritation of the skin, nose, and eyes, gastrointestinal problems, fatigue, headache, allergies, musculoskeletal and injury, risks such as strains to sprains, confusions, fractures, and lacerations. Methodology: Research approach used in this study was evaluatory approach. Pre experimental one group pre-test post-test research design was adapted. The sample was solid waste collectors who fulfilled inclusion criteria selected by using non probability convenient sampling technique. The study was conducted in selected Municipal Corporations. The researcher used semi structured questionnaire to assess knowledge, modified attitude scale to assess attitude and observational checklist to assess practices of solid waste collectors. The data was analysed in terms of the objective and hypothesis using SPSS format. Result: Wilcoxon Signed rank Test value for knowledge is 6.757 which is statistically significant at 5% level of significance. Wilcoxon Signed rank Test value for attitude is 6.597 which is statistically significant at 5% level of significance. Wilcoxon Signed rank Test value for practices is 6.897 which is statistically significant at 5% level of significance. The calculated value was statistically significant at 5% level of significance. Hence the null hypothesis is rejected which shows that structured teaching program is effective. Conclusion: This study emphasized on preventive measures. Structured teaching program on preventive measures found effective to increase the level of knowledge, change to favourable attitude and follow preventive practices of solid waste collectors. This study helps to improve their health status.

Awareness And Prevalence of Needle Stick Injury Among Nurses in the District Hospitals of La Union

Needle stick injuries (NSI) were recognized as one of the world's most common health risks. In the pursuit of their daily tasks in the health care setting, nurses were at high risk of occupational accidents and injury. The study was conducted to assess the needle stick injury among nurses in district hospitals in La Union. Specifically, it sought to evaluate the awareness of nurses regarding needle stick injury; to describe the prevalence of needle stick injury among nurses in La Union District Hospitals; and to review existing district hospital protocols on the management of needle stick injury. Frequency counts and percentage were used to analyze the data. Nurses were aware on needle stick injury. There was a high prevalence of needle stick injury due to recapping for the past five years. District hospitals had protocols guided by the World Health Organization and Department of Health on Needle Stick Injury.

Working hour patterns and risk of occupational accidents. An optimal matching analysis in a hospital employee cohort

BackgroundHypothesis-free studies applying advanced statistical analysis of objective working hour patterns and occupational accidents are lacking. This study aimed to identify patterns of working hours among hospital employees and to investigate the associations between the identified patterns and the risk of an occupational accident. MethodIn this cohort study of 4419 hospital employees, we collected electronic payroll-based working hour data (i.e., timing and duration) for each participant and linked them to records of occupational accident register between 2008 and 2018. We used optimal matching to assess similarity between individual working hour patterns for a period of 7 days preceding an accident or, for employees without an accident, a random pseudo-accident date. Using cluster analysis, we categorized employees into working hour pattern clusters. Log-binomial regression was used to examine risk ratios (RR) with 95 % confidence intervals (CI) of an occupational accident between cluster memberships. Results1626 participants experienced an occupational accident which took place either at the workplace (65 %) or while commuting (35 %). Six clusters of working hour patterns were identified. Compared to the cluster with the fewest accidents, clusters with a higher proportion of accidents were characterized by late work shifts and a high proportion of quick returns (<11-hour shift interval,) and long work shifts (>12-hour shift), RR 1.31, 95 %CI 1.13–1.52 for the cluster with the most accidents. ConclusionsThis data-driven study suggests that working late and long with insufficient rest is associated with increased probability of occupational accidents. Working hour arrangements in 24/7 care of hospital merit attention to regularity and sufficient rest to support occupational safety.