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Abstrak :
Cardiovasculer Diseases (CVD) adalah penyakit jantung yang meliputi empat hal yaitu (1) coronary arterial diseases (CAD) atau penyakit jantung koroner (PJK); (2) cerebrovaskular diseases termasuk stroke dan ischemic transient attack (TIA); (3) penyakit arteri yaitu perifer arterial diseases (PAD) dan (4) aterosklerosis aorta. CVD menjadi salah satu pembunuh nomor satu di dunia, karena banyak faktor risiko yang mempengaruhi baik yang dapat dimodifikasi dan yang tidak bisa dimodifikasi sehingga sulit ditangani. Tujuan penelitian ini adalah menganalisis berbagai faktor yang berhubungan dengan kejadian CVD di PT. X. Untuk saat ini di PT. X faktor risiko yang bepotensi menyumbang kejadian CVD 10 tahun mendatang sudah mulai muncul berdasarkan data kesehatan pemeriksaan kesehatan rutin tahunan pekerja tahun 2021. Berdasarkan hasil pemeriksaan kesehatan tahunan 2021 terdapat peningkatan faktor risiko CVD meliputi angka obesitas 65,5%; kolesterol total tinggi 50,13%; diabetes mellitus 4,3 % dan hipertensi 5,79%. Studi ini merupakan studi cross sectional dengan pendekatan kuantitatif dengan menganalisis data primer dan sekunder untuk menggambarkan faktor risiko CVD termasuk prediksi 10 tahun mendatang bagi para responden menggunakan metode Framingham Risk Score (FRS), Skor Kardiovasar Jakarta (SKJ) dan WHO Chart serta menganalisis risiko CVD di PT X tahun 2022. Penelitian ini menemukan bahwa dengan metode Framingham Risk Score (FRS); Skor Kardiovaskuler Jakarta (SKJ) dan WHO Chart diperoleh persentase responden dengan risiko tinggi terjadinya CVD masing-masing adalah (10,2%); (18,7%) dan (1,7 %) dengan (n=235). Hasil penelitian juga menunjukan dari beberapa faktor risiko didapatkan bahwa (46,0%) responden berusia dibawah 40 tahun dan (77,0%) responden berjenis kelamin laki-laki., sedang untuk faktor risiko CVD merokok didapatkan (26,8%); BMI dengan obesitas (26%); HDL poor (34,5%); kolesterol total tinggi (37,9%); diabetes militus (10,6 %); tekanan darah tinggi (11,9%) dan mempunyai aktivitas rendah (93,2%). Faktor risiko dominan berupa merokok dari hasil analisis diperoleh pula nilai (OR=13,7), artinya seseorang yang merokok mempunyai peluang 13,7 kali berisiko lebih tinggi mengalami CVD dibandingkan dengan seseorang yang tidak merokok. Selain merokok adalah diabetes mellitus, dengan nilai (OR=7,6) artinya seseorang yang mengalami diabetes mempunyai peluang 7,6 kali berisiko lebih tinggi mengalami CVD dibandingkan dengan seseorang yang tidak diabetes mellitus. Juga HDL, dari hasil analisis diperoleh nilai (OR=7,7), artinya seseorang yang memiliki HDL rendah mempunyai peluang 7,7 kali berisiko lebih tinggi mengalami CVD dibandingkan dengan seseorang yang HDL tinggi. Secara garis besar masukan terhadap perusahaan adalah program pencegahan CVD agar dibuat continues dan serentak di berbagai Region atau Unit, serta meningkatkan pengetahuan dan kesadaran pekerja akan pentingnya menjaga kesehatan dan menerapkan reward dan konsekuensi secara lebih konsisten. ......Cardiovascular Diseases (CVD) is heart disease which includes four major diseases, namely (1) coronary arterial diseases (CAD) or coronary heart disease (CHD); (2) cerebrovascular diseases including stroke and ischemic transient attack (TIA); (3) arterial disease, namely peripheral arterial diseases (PAD) and (4) aortic atherosclerosis. CVD is one of the number one killer diseases in the world, because there are many modifiable and non-modifiable risk factors that affect it and making it difficult to treat. The purpose of this study was to analyse various factors related to be CVD at PT. X. Currently at PT. X risk factors that have the potential to contribute to be CVD in the next 10 years have started to appear based on the health data for the 2021 annual routine medical examination of workers. Based on the results of the 2021 annual health examination, there is an increase in CVD risk factors including an obesity rate of 65.5%; high total cholesterol 50.13%; diabetes mellitus 4.3% and hypertension 5.79%. This study is a cross-sectional study with a quantitative approach by analysing primary and secondary data to describe CVD risk factors including predictions for the next 10 years for respondents using the Framingham Risk Score (FRS) method, Jakarta Cardiovascular Score (SKJ) and WHO Chart as well as analysing CVD risk at PT X in 2022. This study found that using the Framingham Risk Score (FRS) method; The Jakarta Cardiovascular Score (SKJ) and the WHO Chart obtained the percentage of respondents with a high risk of developing CVD, respectively (10.2%); (18.7%) and (1.7%) with (n=235). The results of the study also showed that from several risk factors it was found that (46.0%) of respondents were under 40 years old and (77.0%) of respondents were male, while for CVD risk factors smoking was obtained (26.8%); BMI with obesity (26%); poor HDL (34.5%); high total cholesterol (37.9%); diabetes mellitus (10.6%); high blood pressure (11.9%) and have low activity (93.2%). The dominant risk factor in this study is smoking. From the results of the smoking analysis also obtained a value (OR = 13.7, meaning that someone who smokes has a 13.7 times higher risk of getting CVD compared to someone who does not smoke. Other dominant risk factor is diabetes mellitus, with a value (OR = 7.6) meaning that someone who has diabetes has a 7.6 times higher risk of getting CVD compared to someone who does not have diabetes mellitus. Also, HDL with the results of the analysis obtained a value (OR = 7.7), meaning that someone who has low HDL has a 7.7 times higher risk of getting CVD compared to someone with high HDL. Main input to the company is a CVD prevention program to be made continuously and simultaneously in various Regions or Units, as well as increasing employee knowledge and awareness of the importance of maintaining health and implementing rewards and consequences more consistently.

Abstrak :
Benzene bersifat toksik dan karsinogenik yang ditemukan dalam proses operasional Kilang Paraxylene di PT. X. Dalam proses kerjanya, pekerja terpajan benzene sehingga dilakukan analisa pajanan benzene terhadap pekerja. Desain penelitian adalah analisa kuantitatif dengan metode potong lintang dari data sekunder perusahaan. Variabel penelitian meliputi konsentrasi personal benzene, kadar SpMA, usia, masa kerja, status gizi, kebiasaan merokok, konsumsi alkohol, shift kerja, durasi pajanan per hari dan penggunaan APP dari 64 pekerja. Konsentrasi personal benzene diukur pada breathing zone pekerja berkisar antara 0,02 sd 0,44 ppm. Sebanyak 28 pekerja (43,75%) memiliki kadar SpMA melebihi IPB ACGIH 2021 (25 µg/g kreatinin), UCL 1,95% di semua SEG melebihi IPB, berarti ada ketidakyakinan sebesar 95% bahwa kadar SpMA pekerja Kilang Paraxylene tidak melebihi IPB. Uji korelasi pearson menunjukkan tidak terdapat hubungan yang signifikan antara konsentrasi personal benzene dengan kadar SpMA, p=0,195. Hasil uji statistic menemukan adanya hubungan signifikan antara kadar SpMA dengan masa kerja, p=0,04. Kadar SpMA hanya menggambarkan metabolit di tubuh namun tidak dapat memberikan rute pajanan. Penelitian lanjutan diperlukan untuk menganalisa dampak pajanan benzene pada pekerja yang melebihi durasi aman pajanan benzene pada PT. X. ......Benzene is presence in routine operational activities of Paraxylene Refinery Unit in PT. X. The process exposed the worker to benzene. Hence, the need to analyze its exposure to the workers. The study design was quantitative analysis with cross sectional design by analyzing secondary data. The variables studied were personal benzene, SpMA level, age, length of work, BMI, smoking habit, alcohol consumption, shift/non shift, length of exposure per day, and use of PPE from the sampel of 64 workers. The result showed personal benzene concentrations measured in the breathing zone are below the recommended exposure limit (NAB Permenaker No 5/2018: 0,5 ppm), 28 respondents (43,75%) had SpMA level above the value of BEI ACGIH 2021 (25 µg/g kreatinin ), UCL 1,95% of all SEG is higher than BEI meaning there is 95% inconfident that benzene concentrations in the breathing zones are below the standard. There is no correlation between personal benzene concentrations and SpMA p=0,195. There is a significant correlation between length of work with SpMA level, p=0,04. SpMA is useful in determining benzene exposure even in low level exposure however it does not recognize where benzene is coming from. Implementation of work rotation and benzene awareness need to be improved. Further study should be conducted to analyze risk of cancer to worker who has been exposed to benzene longer than the safe duration of exposure in PT. X.