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Polutan udara dalam ruangan, khususnya PM2.5 memberikan dampak buruk bagi kesehatan penghuni ruangan. Salah satu pengendalian untuk menurunkan konsentrasi PM2.5 adalah dengan menggunakan filter HEPA. Filter HEPA memiliki desain bahan filter yang dilipat-lipat untuk memperbesar luas permukaan filter. Penelitian ini dilakukan untuk meneliti pengaruh jumlah lipatan pada filter HEPA berbahan meltblown nonwoven polypropylene terhadap efektivitas filter dalam menurunkan konsentrasi PM2.5 di dalam ruangan. Penelitian dilakukan dalam bentuk eksperimen yang dilakukan di laboratorium Keselamatan dan Kesehatan Kerja Fakultas Kesehatan Masyarakat Universitas Indonesia. Larutan KCl 5% disebarkan dalam bentuk partikulat ke dalam ruang uji dan digunakan berbagai variasi filter HEPA dengan jumlah lipatan berbeda untuk dilihat efektivitasnya menurunkan konsentrasi PM2.5. Variasi jumlah lipatan pada filter HEPA yang dilakukan pengujian adalah kepadatan lipatan 1 lipatan/cm, 2 lipatan/cm, dan 3 lipatan/cm. Data PM2.5 dikumpulkan secara langsung dengan CEM Air Particle Counter DT-9881. Hasil penelitian menunjukkan bahwa antara tiga kelompok pengujian, tidak terdapat pengaruh signifikan terhadap efektivitas filter HEPA jika dilakukan uji statistik terhadap rata-rata efektivitas filter. Sementara secara praktis, filter 2 lipatan/cm memiliki rata-rata efektivitas paling baik antara ketiga variasi jumlah lipatan, yaitu sebesar 95,28% dan memasuki kategori filter E11.
Indoor air pollution, especially PM2.5, adversely affects its occupants. One of the solutions to reduce PM2.5 concentration is using HEPA Filters. HEPA Filters are designed with pleats to broaden the filter’s surface area. This study aims to research the influence of different pleat count on melt-blown nonwoven polypropylene HEPA Filter on the effectiveness of reducing PM2.5. This research was an experimental study in the occupational and health laboratory, faculty of public health, Universitas Indonesia. A mixture of potassium chloride was dispersed in the form of particulate to the experimentation room and various HEPA filters with different pleat counts were used to see their effectivity in reducing PM2.5 concentration. Variations of pleat count that were used in these experiments were HEPA filters with pleat density of 1 pleat/cm, 2 pleats/cm, and 3 pleats/cm. Data of PM2.5 are directly read and stored with CEM Air Particle Counter DT-9881. Research finds between three variations of pleat count; there were no statistical significance between the average effectiveness percentage of each pleat count variants. Although not statistically significant, filter with pleat density of 2 pleats/cm has the highest effectiveness average between three variations, which is 95,28%, where it’s classified as E11 filter category.
Kata kunci: ix Universitas Indonesia Kelelahan, faktor risiko fisik, faktor risiko psikososial, masinis
Fatigue is a common occurrence in many industries, including the transportation industry in this case particularly in electric train drivers. Activities performed by commuter train drivers have the potential to cause fatigue due to job characteristics of train drivers are at risk of exposure to physical factor (awkward posture), psychosocial factores (effort, reward, overcommitment, monotonous work, social support from co-workers, supervisor and family, work related stress and shift), and individual factors (age, body mass index, smoking status). This research was carried out on the train drivers of UPT Crew Depok PT. KCI. The design of this research is quantitative observational with cross sectional approach. Previous studies have linked the incidence of work fatigue to psychosocial risk factors while only few studies have examined physical risk factors. In addition, the study related to work fatigue in general used questionnaire instrument while in this study in addition to using the questionnaire instrument also made an objective measurement through Salivary Alpha Amylase (SAA) using cocorometer as one of the indicators to measure stress levels and using sleep-2-peak applications to measure work related fatigue.This is the the background to conduct research related to the overview of work related fatigue as well as to analyze the relationship of physical factors, psychosocial, and individual factors to work related fatigue in train drivers of PT. KCI 2018.
Key word: Fatigue, physical risk factors, psychosocial risk factors, train drivers
