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Commonly, petrochemical industry is the type of industry with a high level of potential process accident hazards that can affect workers, the community and the surrounding environment. PT. XYZ as a producer of Urea Fertilizer (NH₂)₂CO is one of the petrochemical industry in Indonesia and their business processes cannot be separated from upstream process hazards (processing natural gas raw materials into semi-finished raw materials) to downstream process hazards (fertilizer production process). Therefore, a special management system is needed to identify, mitigate, control and respond to hazards from all products and processes activity in the workplace. Process Safety Management (PSM) is a proactive process-based safety management system in identifying, mitigating, controlling and responding to hazards from all activities or production processes in the workplace that are widely used by the petrochemical industry which is implemented by PT XYZ in one of its factories, it?s 2B plants. The purpose of this study is to analyze the maturity level of PSM implementation at PT XYZ's 2B plants which consists of 14 elements, namely Process Safety Information (PSI), Process Hazard Analysis (PHA), Operating Procedure (OP), Employee Participation (EP), Training (TRA). ), Contractor (CTR), Pre Startup Safety Review (PSSR), Mechanical Integrity (MI), Permit To Work (PTW), Management Of Change (MOC), Incident Investigation (II), Emergency Response and Planning (ERP), Compliance Audit (CA), and Trade Secret (TS) where the maturity level of PSM implementation is to be able to identify the advantages and disadvantages of each element implemented in order to identify and determine actions that can be taken to improve the implementation of PSM elements so as to reduce the potential for the accident process. In conducting research to assess PSM implementation maturity level, the research uses a mixed method of semi-qualitative descriptive analysis by approaching the sources of information obtained through questionnaires, interviews, and observations field and research company documents with a sample of 93 people. The results of the assessment research on 14 PSM elements at PT XYZ's 2B factory are committed to excellence where from these 14 elements there are only 4 elements at the compliant level.
Kata kunci : pengantongan pupuk, tingkat risiko ergonomi, keluhan musculoskeletaldisorders, RULA dan REBA.
This study about description of ergonomics risk level and musculoskeletaldisorders complaints from the job fertilizer packing at PT. Pupuk SriwidjajaPalembang 2016. The risk factors studied in this study is ergonomics risk factors(work posture, duration, frequency and load) with RULA and REBA methods andalso individual risk factors (age, working time, and smoking). This study isdescriptive with cross sectional study design. The sample study are 72 workerspacking fertilizers. Result of this study is high risk level is found in working processarranging of sack in pallet. Medium risk level are found in working process fillingurea and sewing sacks. While, low risk level are found working process folding innerbag and cutting the yarn. Musculoskeletal Disorders complaints is the most at waist(87,5%), right shoulder (86,1%), and left shoulder (86,1%). It is important to controlthe risk with engineering control and administrative control.
Keywords : fertilizers packing, ergonomic risk level, musculoskeletal disorderscomplaints, RULA and REBA.
High dust exposure in the workplace, particularly PM2.5 dust, can increase the risk of respiratory disorders among workers. PT X, as a fertilizer manufacturer, has a high potential for dust exposure, especially during several stages of the production process. This study aims to analyze the relationship between PM2.5 dust concentration and respiratory symptoms among workers at the NPK Granulation fertilizer plant. This research employed a cross-sectional design involving 96 respondents from three factories: NPK II, III, and IV. The independent variables included PM2.5 5 concentration, duration of exposure, age, length of employment, history of respiratory illness, smoking habits, and the use of personal protective equipment (PPE). The dependent variable was the presence of respiratory symptoms. Data collection was carried out using two methods: PM2.5 concentration was measured with a DustTrak device, while information on other variables including exposure duration, age, work history, respiratory illness history, smoking habits, PPE use, and respiratory symptoms was gathered through a questionnaire completed by the respondents. The results showed that PM2.5 concentrations in all three plants exceeded the Threshold Limit Value (TLV) set by the Indonesian Ministry of Health Regulation No. 70 of 2016. Furthermore, 59.4% of the respondents reported experiencing respiratory symptoms, indicating a potential health hazard for workers. However, among all the variables analyzed, only smoking habits showed a statistically significant association with respiratory symptoms (p = 0.003). Other variables, such as PM2.5 concentration, exposure duration, age, length of employment, history of respiratory illness, and use of PPE, did not demonstrate a significant statistical relationship. Based on these findings, it can be concluded that smoking habits are the primary risk factor associated with respiratory disorders among workers. Nevertheless, the fact that PM2.5 levels exceeded the TLV highlights that the work environment still poses a serious health risk. Therefore, PT X should strengthen its efforts in smoking control and education within the workplace. In addition, regular monitoring of PM2.5 dust exposure and strict supervision of PPE compliance must be consistently enforced to prevent other potential health risks.
Bising merupakan salah satu bahaya yang memajan pekerja di aktivitas pekerjaan. Salah satu dampak dari pajanan bising yang melebihi standar (> 85 dBA) di tempat kerja adalah dampak yang tidak berhubungan dengan fungsi pendengaran (non-auditori). Tiga sub-gangguan non-auditori, seperti gangguan fisiologi, psikologi, dan komunikasi berpengaruh terhadap kinerja dan ketidaknyamanan pekerja dalam bekerja. Berbeda dengan gangguan auditori, gangguan non-auditori dapat diobservasi meskipun tingkat bising di area kerja berada di bawah 85 dBA. Batas pajanan bising di dalam ruangan adalah 55 hingga 65 dBA menurut Peraturan Menteri Kesehatan Nomor 48 Tahun 2016.
PT X sebagai perusahaan manufaktur yang bergerak di sektor agroindustri berisiko terpajan bising, termasuk pekerja di ruang kendali. Hasil pengukuran bising di ruang kendali Pabrik NPK Granulasi dan Phonska PT X berada pada rentang 58,8 hingga 71,5 dBA. Tingkat bising tersebut berisiko menimbulkan gangguan non-auditori pada pekerja di ruangan, yakni operator. Oleh sebab itu, dilakukan penelitian untuk mengetahui gangguan non-auditori dan faktor yang mempengaruhinya pada operator di ruang kendali.
Penelitian ini dilakukan dengan metode cross-sectional pada 66 operator yang bekerja di ruang kendali Pabrik NPK Granulasi dan Phonska PT X pada bulan April hingga Mei 2025. Variabel dependen dan independen yang diteliti adalah gangguan non-auditori, faktor tingkat pajanan bising (tingkat bising dan durasi pajanan), faktor individu (usia, masa kerja, perilaku merokok, dan riwayat penyakit), serta faktor perilaku (penggunaan APT dan pajanan bising di luar pekerjaan).
Hasil penelitian menunjukkan 92,4% responden mengalami gangguan non-auditori dengan rincian 45,5% mengalami gangguan fisiologi, 86,4% psikologi, dan 83,3% komunikasi. Hasil analisis dengan metode Mann-Whitney dan Kruskal-Wallis memperlihatkan perbedaan yang signifikan terhadap skor gangguan non-auditori berdasarkan kelompok masa kerja (p = 0,047) dan riwayat penyakit (p = 0,009); skor gangguan fisiologi berdasarkan kelompok usia (p = 0,031), masa kerja (p = 0,012), dan riwayat penyakit (p = 0,014); skor gangguan psikologi berdasarkan kelompok masa kerja (p = 0,024), riwayat penyakit (p = 0,021), dan pajanan bising di luar aktivitas pekerjaan (p = 0,047); serta skor gangguan komunikasi berdasarkan kelompok riwayat penyakit (p = 0,011). Hasil penelitian ini sejalan dengan penelitian sebelumnya, dimana gangguan non-auditori tetap dapat dialami oleh responden meski bising di bawah 85 dBA. Oleh karena itu, perlu dilakukan pengendalian, seperti memastikan tingkat pajanan bising di ruang kendali memenuhi persyaratan perundangan dan menambah bahan peredam bising di dalam desain ruang kendali.
Noise is recognized as one of the occupational hazards to which workers are frequently exposed. When noise exposure goes above the standard limit (>85 dBA), it can lead to effects that are not related to hearing, known as non-auditory effects. These effects are usually divided into three types: physiological, psychological, and communication-related. Non-auditory effects can impair work performance and contribute to discomfort in the workplace. Unlike auditory effects, non-auditory effects can be observed even when the noise level in the work area is below the health threshold. According to Peraturan Menteri Kesehatan Nomor 48 Tahun 2016, the indoor noise exposure limit ranges from 55 to 65 dBA. PT X is a manufacturing company in the agroindustry sector which is at risk of noise exposure. Its workers, including those in the control rooms, are potentially exposed to indoor noise. The noise levels in the control room of the NPK Granulation and Phonska Plant at PT X are in the range from 58,8 to 71,5 dBA. Control room operators may be at risk of non-auditory effects due to indoor noise exposure that exceeds the standard. Therefore, this study aimed to examine the non-auditory effects, noise exposure levels, individual factors, and behavioral factors among control room operators at the NPK Granulation and Phonska Plant of PT X in 2025. This study was conducted using a cross-sectional method on 66 operators working in the control room of NPK Granulation and Phonska Plant at PT X from April to May 2025. Data collection was conducted from April to May 2025. The dependent and independent variables studied were non-auditory effects, noise-exposure levels (noise intensity and duration), individual factors (age, length of employment, smoking habits, medical history), and behavioral factors (use of HPD and noise exposure outside work). The results showed 92,4% of respodents experienced non-auditory effects, with 45,5% reporting physiological effects, 86,4% psychological effects, and 83,3% communication effects. The Mann-Whitney and Kruskal-Wallis tests showed significant differences in non-auditory effect scores based on length of employment (p = 0,047) and medical history (p = 0,009); in physiology effect scores based on age (p = 0,031), length of employment (p = 0,012), and medical history (p = 0,014); in psychological effect scores based on length of employment (p = 0,024), medical history (p = 0,021), and noise exposure outside of work (p = 0,047); in communication effect scores based on medical history (p = 0,011). Therefore, it is necessary to implement control measures, such as ensuring that the level of noise exposure in the control room within the regulatory limits and incorporating both sound-absorbing as well as sound-insulating materials into the control room design.
