Background: The Minister of Manpower stated that the construction sector contributed to the highest number of work accidents. The cause of construction-sector work-accidents as much as 40% came from unsafe behavior from workers. Unsafe behavior is described as the possibility of individuals not following safety standards, procedures, instructions, and criteria specific to the work that the organization applies to. According to a preliminary study, 6 out of 10 workers (60%) have unsafe behavior while working. Purpose: To find out the risk factors of unsafe behavior in construction workers at the Cartenz apartment construction project in Tower D, PT. Nusa Raya Cipta, Tangerang in 2021. Method: A cross-sectional design was used in this present study. The population and sample included 42 workers that were used as total sampling technique. The primary data were collected by questionnaire, whereas the analysis was done with the Chi-square test in bivariate analysis. Result: The analysis showed that 40.5% workers had unsafe behavior, 45.2% had poor knowledge, 31% showed bad attitudes, 52.4% had new work period, and 42.9% had poor supervision. Bivariate analysis indicated that knowledge (p-value 0.016), attitude (p-value 0.028), work period (p-value 0.004), and supervision (p-value 0.041) are associated with unsafe behavior. Conclusion: The risk factors of unsafe behavior in construction workers in Tangerang include knowledge, work period, attitudes, and supervision.

Background: Eye fatigue is a symptom caused by excessive efforts of the visual system, which is in less than perfect condition to obtain visual acuity. This is influenced by gender, duration, and distance of viewing the monitor. Purpose: Analyze the factors and images related to eye fatigue in customer service employees at PT X in 2021. Method: Descriptive study with cross-sectional design with the total sampling method. The sample in this study was 50 people. The population in this study was 50. This research was conducted on December 27 – January 5, 2022. Data collection was obtained by collecting primary data and secondary data. Data were analyzed by univariate and bivariate using the Chi-square test. Result: That the highest proportion is found in employees who experience eye fatigue complaints as many as 44 people (88%), in employees aged ≤40 years as many as 42 people (84%), employees who have female sex as many as 32 people (64% ), employees who have a working period of >3 years as many as 45 people (90%), had computer use >8 hours a day as many as 46 people (92%), saw a monitor distance of 50 cm as many as 38 people (76%), and there was a relationship between gender (p-value = 0.001), duration of computer use (p-value = 0.004), monitor viewing distance (p-value = 0.002) with the incidence of eye fatigue in customer service employees at PT X in 2022. Conclusion: The results show that eye fatigue does not get worse by placing the computer in such a way that there is no light reflection, conducting periodic medical check-up, and educating employees to intersperse computer use time.