Abstrak: Tingkat kebisingan di Instalasi Pengolahan Air (IPA) cukup tinggi. Meningkatnya kebutuhan air bersih seiring dengan bertambahnya populasi penduduk, membuat Perusahaan Daerah Air Minum (PDAM) dituntut untuk meningkatkan kapasitas produksi. Terdapat alat-alat dan proses produksi yang memiliki karakteristik berbeda dibanding jenis industri lain. Terdapat 306 PDAM di seluruh Indonesia, potensi jumlah pekerja yang terpajan bising sangat besar, maka perlu diteliti lebih lanjut mengenai hubungan karakteristik bising serta faktor-faktor determinannya terhadap gangguan pendengaran pada pekerja di PDAM untuk memperoleh bentuk pengendalian yang paling tepat. Penelitian ini menggunakan desain studi potong lintang. Tahapan penelitian ini yaitu mengukur tingkat kebisingan serta memberikan kuesioner sebagai data primer, menganalisis hasil audiometri pekerja sebagai data sekunder dan menggunakan uji statistika Chi Square dan analisis multi determinan untuk mengetahui hubungan di antara variabel independen dan dependen. Hasil penelitian diperoleh bahwa sumber bising di instalasi pengolahan air adalah pompa, exhaust fan, kompresor, blower, vacuum dan terjunan air. Sebanyak 84.4% pekerja di area produksi terpajan bising > 85 dBA. Sebanyak 15.6% pekerja mengalami gangguan pendengaran. Diperoleh kesimpulan bahwa pekerja yang terpajan bising di atas 85 dBA yang memiliki frekuensi bising dominan > 2000 Hz dapat menyebabkan terjadinya gangguan fungsi pendengaran dan diperparah apabila pekerja berusia > 40 tahun dan memiliki masa kerja > 14 tahun. Kata kunci: Kebisingan, PDAM, Gangguan pendengaran, Frekuensi bising

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Noise level in Water Treatment Plant (WTP) is high enough. Increasing the need for clean water in line with the increasing population, making the Water Supply Company (PDAM) is required to increase production capacity. There are machines and production processes that have different characteristics than other types of industries. There are 306 PDAMs throughout Indonesia, the potential number of workers exposed to noise is very large, it is necessary to further investigate the relationship between noise characteristics and its determinants to hearing loss to PDAM workers to obtain the most appropriate form of control. This study used a cross sectional study design. The stages of this study are to measure the noise level and provide questionnaires as primary data, analyzing the worker audiometric results as secondary data and using Chi Square statistical test and multi determinant analysis to find out the relationship between independent and dependent variables. The results obtained that the source of noise in water treatment plants are pumps, exhaust fan, compressor, blower, vacuum and waterfall. About 84.4% of workers in the production area exposed to noise > 85 dBA. About 15.6% of workers have hearing loss. It is concluded that exposure workers over 85 dBA with dominant noise frequency > 2000 Hz can cause hearing impairment and aggravate if workers are > 40 years old and have a working life > 14 years. Key words: Noise, Water supply company, Hearing loss, Noise frequency

Abstrak: Pengukuran fatigue dilakukan sebagai data dasar untuk melihat profil fatigue sopir di sebuah perusahaan jasa ekspedisi. Sebanyak 52 sopir diukur selama 10 menit menggunakan Psychomotor Vigilance Task-192 (PVT-192). Dari hasil rata-rata waktu reaksi, responden memiliki profil fatigue normal dan signifikan sebesar 0,046 terhadap jarak berkendara yang berpola negatif. Ada 1 sopir yang fatigue dan 18 sopir merasakan kantuk setelah mengantar muatan. Kegiatan promosi dan preventif tetap perlu dilakukan berkala seperti edukasi dan pemeriksaan kesehatan berkala. Kegiatan kuratif dan rehabilitatif dilakukan bagi sopir yang fatigue. Kata kunci: Fatigue, KSS, PVT-192, Kantuk, Sopir, Truk

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Fatigue measurement was performed as baseline to see fatigue profile on drivers at an expedition service company. A total of 52 drivers were measured for 10 minutes using Psychomotor Vigilance Task-192 (PVT-192). From the mean reaction time, respondents had normal and significant fatigue profiles of 0.046 on the driving distance with the negative pattern. There was one fatigue driver and 18 sleepiness drivers after dropping off the load. Promotion and preventive activities need periodically (education and medical checks up). Curative and rehabilitative programs for drivers had fatigue. Key words: Fatigue, KSS, PVT-192, Sleepiness, Driver, Truck.