PERBEDAAN GANGGUAN PENDENGARAN AKIBAT BISING ANTARA OPERATOR CCR PLTU DENGAN PLTGUDI PT PJB UP GRESIK

ABSTRACTThe role of central control room (CCR) operator in Steam Power Plant (PLTU) or Gas and Steam Power Plant (PLTGU) of a work environment has high noise intensity with range (62.2– 99.8 dBA). Noise resulting from the process of production of electrical energy by machinery such as power generation unit boiler/HRSG, turbine, generator, condenser and other supporting equipment can cause Noise Induced Hearing Loss (NIHL). Study with cross-sectional design aims to analyze the difference in Noise Induced Hearing Loss between shift operator CCR PLTU and PLTGU PT PJB UP Gresik. Research on samples taken with the technique of simple random sampling with the majority of respondents were ≥ 40 years old, have a working periode ≥ 4 years, have a work area with a level of intensity noise > 85 dBA, long exposure noise ≤ 1 hour and good level of compliance of the use of ear protection in both of units. There was a difference of NIHL shift operator CCR PLTU and PLTGU. The number ofoperator who have experienced hearing loss due to noise on the shift operator CCR PLTU greater than PLTGU. Shift operator CCR PLTU and PLTGU are advised to obey and comply with safe working hours in areas with particular noise intensity has been set and the use of ear protection with right, also have to perform regular an audiometry exam tests so that the function of hearing of shift operator CCR could in monitor continuously.Keywords: central control room operator, power plant, noise induced hearing loss

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Prevalensi dan Faktor Risiko Tuli Akibat Bising pada Operator Mesin Kapal Feri

Kesmas National Public Health Journal ◽

10.21109/kesmas.v7i12.328 ◽

2013 ◽

Vol 7 (12) ◽

pp. 545

Author(s):

Jumali Jumali ◽

Sumadi Sumadi ◽

Sylvia Andriani ◽

Misbahul Subhi ◽

Damianus Suprijanto ◽

...

Keyword(s):

Hearing Loss ◽

Pure Tone ◽

Noise Intensity ◽

Noise Exposure ◽

Noise Induced Hearing Loss ◽

Affecting Factors ◽

Cross Sectional ◽

Intensity Measurements ◽

Study Results ◽

Cross Sectional Design

Kebisingan ruang mesin dapat menyebabkan gangguan pendengaran. Tujuan penelitian ini adalah menganalisis prevalensi tuli akibat bising Noise Induced Hearing Loss (NIHL) dan faktor yang memengaruhi pada operator mesin kapal feri penyeberangan Ketapang-Gilimanuk. Penelitian observasional dengan pendekatan cross sectional ini menggunakan metode pengumpulan data dengan wawancara, pengukuran intensitas kebisingan ruang mesin dan pemeriksaan audiometri terhadap operator. Besar sampel adalah 66 operator dari 36 kapal feri yang memenuhi kriteria inklusi dipilih secara acak. Hasil studi menunjukkan 36% kapal memiliki intensitas kebisingan ² 85 dBA dan 64% > 85 dBA. Pemeriksaan audiometri dengan nada murni pada 66 operator didapatkan 34,85% responden mengalami NIHL. Hasil analisis regresi logistik menunjukkan faktor dominan yang memengaruhi NIHL adalah usia dan lama paparan (p < 0,05). Hasil uji kai kuadrat didapatkan intensitas kebisingan berpengaruh signifikan terhadap NIHL setelah dikoreksi dengan umur dan lama paparan (p < 0,05). Disarankan untuk mengurangi waktu paparan terhadap operator yang terpajan kebisingan tinggi dan menjaga jarak antara operator dengan sumber kebisingan untuk meminimalkan pajanan bising.Engine room noise can cause hearing loss. The objective of this research was to analyze the prevalence of Noise Induced Hearing Loss (NIHL) and its affecting factors on machinery ferry operators at Ketapang-Gilimanuk. This was an observational with cross sectional design, the techniques for collecting data were interviews, noise intensity measurements and audiometric examination.The sample was 66 operators who were selected randomly after inclusion. The study results showed that 36% of ferry have noise intensity ² 85 dBA and 64% have > 85 dBA. The audiometric examination with pure tone result of the 66 operators showed that 34.85% of respondent had NIHL. The age and length of exposure affected NIHL incidence (p < 0.05). While the noise intensity affected the incidence of NIHL (p > 0.05) together with age and lenght of exposure. It is important to reduce exposure time of noisy operations on workers, automation of activities and increase the distance between workers and noisy equipment to minimise the noise exposure.

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Psychological Capital Impacts on Safety Behavior of Contractor Workers using the SEM Method

The Indonesian Journal of Occupational Safety and Health ◽

10.20473/ijosh.v10i2.2021.180-187 ◽

2021 ◽

Vol 10 (2) ◽

pp. 180

Author(s):

Heppy Ridhatul Aula ◽

Dewi Kurniasih ◽

Farizi Rachman

Keyword(s):

Power Plant ◽

Production Process ◽

Self Efficacy ◽

Psychological Capital ◽

Electric Energy ◽

Safety Behavior ◽

Cross Sectional ◽

Steam Power ◽

Steam Power Plant ◽

Safety Compliance

Introduction: A steam power plant company is an electric energy production company, utilizing main energy sources such as coal, biomass, and other energies that are related to production process. This company is a big industry that operates 24 hours and have many various steps of production process. It is also supported by a variety of high-risk system equipment such as confined spaces, working at height, hot work, ergonomics, mechanics, and others. This type of work can lead to workers’ unsafe conditions and unsafe acts. One of the causes is the psychological aspects of workers, namely the lack of workers’ awareness and understanding in implementing occupational safety aspects. Workers’ psychology in this study is Psychological Capital (PsyCap) with self-efficacy, hope, optimism, and resilience dimensions. This study aims to analyze PsyCap impacts on safety behavior of contractor workers. Methods: this study was an observational analytic research using cross-sectional approach. The population was all workers in a steam power plant company in units 7&8, totalling 400 contractors. This study was conducted by distributing questionnaires to 101 respondents of contractor workers. The questionnaires consisted of items about self-efficacy, hope, optimism, and resilience dimension of PsyCap and safety compliance and safety participation dimension of safety behavior. The analysis used a Structural Equational Modeling (SEM) method and AMOS software. Results: PsyCap dimensions that impacted on safety behavior was optimism. Conclusion: optimism dimension was the factor that had the strongest impact on safety behavior especially workers’ safety compliance. Meanwhile, other PsyCap dimensions which did not have not impact on safety behavior were safety compliance and safety participation dimensions.Keywords: contractor worker, psychological capital, safety behavior, steam power plant company, structural equational modelling

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