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Analisis Postur Tubuh Petani Pada Aktivitas Penanaman Padi Menggunakan Metode Rapid Entire Body Assessment (REBA) Maharani Nusara Ardhi; Agung Kristanto; Widodo Hariyono
JURNAL TEKNIK INDUSTRI Vol. 13 No. 1 (2023): VOLUME 13 NO 1 MARET 2023
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v13i1.17513

Abstract

Intisari— Penanaman padi merupakan pekerjaan fisik petani yang menyebabkan risiko cedera pada otot, sendi, dan tulang atau disebut muskuloskeletal disorders (MSDs). Hasil observasi dan wawancara ditemukan bahwa kebanyakan petani mengalami keluhan pada punggung, lutut, leher, dan bahu. Hal ini disebabkan penanaman padi dilakukan dengan posisi postur tubuh yang canggung seperti punggung yang membungkuk, leher yang menunduk, lengan yang terlalu menjauhi tubuh, pergelangan tangan dan lutut yang terlalu menekuk sehingga dapat menimbulkan cedera MSDs. Penelitian ini bertujuan untuk menganalisis postur tubuh pada petani menggunakan metode Rapid Entire Body Assessment (REBA) untuk mengetahui risiko cedera selama proses penenaman padi dan memberikan usulan perbaikan. Objek penelitian ini adalah populasi keseluruhan petani padi di Kelurahan Napal yaitu sebanyak 51 orang yang memiliki pengalaman di bidang pertanian padi minimal satu tahun. Variabel bebas dalam penelitian adalah postur kerja. Sedangkan variabel terikat dalam penelitian ini adalah keluhan MSDs. Tools yang digunakan yaitu kamera, kuesioner demografi, worksheet REBA, SolidWorks, dan 3DSSPP. Analisis awal menggunakan REBA untuk mengevaluasi postur tubuh kemudian memberi usulan perbaikan dengan bantuan 3DSSPP dan menggunakan uji Paired T-Test untuk melihat perbedaan signifikan antara sudut-sudut alat gerak bawah dan atas petani padi sebelum dan sesudah perbaikan. Berdasarkan hasil akhir REBA sebelum perbaikan sisi sebelah kanan dan kiri yaitu sebanyak 38 petani (75%) berisiko tinggi untuk cedera dan 13 petani (25%) berisiko sangat tinggi untuk cedera yang akhirnya setelah perbaikan sudut sisi sebelah kanan dan kiri dengan bantuan aplikasi 3DSSPP diperoleh hasil semua 51 orang petani (100%) hanya berisiko sedang untuk cedera. Hasil uji Paired T-Test menunjukkan bahwa terdapat perbedaan yang signifikan antara sudut alat gerak tubuh bagian atas dan bawah petani sebelum dan setelah perbaikan dimana semua sudutnya mengalami penurunan. Abstract— Rice planting is a physical work that causes the risk of injury to muscles, joints, and bones or called musculoskeletal disorders (MSDs). Observations and interviews found that most farmers experience complaints in the back, knees, neck, and shoulders. This is because rice planting is done with awkward postures such as a hunched back, a bowed neck, arms that are too far away from the body, wrists and knees that bend too much so that it can cause MSDs injuries. This study aims to analyze the posture of farmers using the Rapid Entire Body Assessment (REBA) method to determine the risk of injury during the rice planting process and provide suggestions for improvement. The object of this study is the total population of rice farmers in Napal Village, namely 51 people who have experience in rice farming for at least one year. The independent variable in the study is work posture. While the dependent variable in this study is MSDs complaints. The tools used are cameras, demographic questionnaires, REBA worksheets, SolidWorks, and 3DSSPP. The initial analysis used REBA to evaluate the posture then gave suggestions for improvement with the help of 3DSSPP and used the Paired T-Test test to see significant differences between the angles of the lower and upper limbs of rice farmers before and after improvement. Based on the final results of REBA before repairing the right and left sides, 38 farmers (75%) were at high risk of injury and 13 farmers (25%) were at very high risk of injury which finally after repairing the right and left side angles with the help of the 3DSSPP application obtained the results of all 51 farmers (100%) only moderate risk of injury. Paired T-Test results showed that there was a significant difference between the angles of the upper and lower limbs of the farmers before and after the repair where all angles decreased.
The Effect of Noise and Lighting on the Output of Work Production in Small and Medium-Sized Foundry Enterprises Nurmaningsih Nurmaningsih; Widodo Hariyono; Agung Kristanto; Muhammad Syamsu Hidayat; Muhammad Syapril
PROMOTOR Vol. 6 No. 6 (2023): DESEMBER
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/pro.v6i6.465

Abstract

The main work environment factors which include temperature, lighting, noise, and air circulation are factors that affect the physical, mental, and psychological burden of employees. High physical, mental, and psychological burdens can affect the non-achievement of production output. This is found in Metal Casting SMEs TS Aluminum. The noise level at the TS Aluminum SMEs at the scraping workstation exceeded the normal threshold of 92.42 dB and the lighting at the scraping workstation was below the threshold of 49.8 Lux. This study was conducted to determine the effect of noise and lighting simultaneously or partially on production output at the processing workstation at SMEs TS Aluminum. This study used the multiple linear regression method, with 5 respondents. The equipment used for noise data collection is the Lutron SL-400 Sound Level Meter and lighting is measured using the Lux MeterLX101 A measuring instrument. Based on the results of statistical tests, show that simultaneous and partial noise and lighting variables have a significant positive effect on production output at the processing workstation at SMEs TS Aluminum (p-value < 0.05). Testing the value of multiple coefficients of determination obtained a percentage of 47% of the influence of noise and lighting on productivity variables, while the remaining percentage of 53% was influenced by other variables that were not studied. Suggestions for noise are that SMEs pay more attention to room capacity, pay attention to the layout of employees in filing, installation of room silencers, and workers required to use personal protective equipment (PPE). The lighting suggestion is that SMEs must add lights in every corner of the room so that the lighting is evenly distributed to all rooms.
The Influence of Individual Factors and Work Conditions with Nurse's Mental Workload Using Method Nasa-TLX Banggai District Health Center Aldi Busura; Surahma Asti Mulasari; Agung Kristanto
J-Kesmas: Jurnal Fakultas Kesehatan Masyarakat (The Indonesian Journal of Public Health) Vol 10, No 2 (2023): October 2023
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/j-kesmas.v10i2.8134

Abstract

Workload is the interaction between individuals and things that can burden someone in completing work. The workload is divided into physical and mental, where the workload is influenced by individual characteristics and external factors, task demands, and work environment. The prevalence of workload in the province of Central Sulawesi (50.9%) experienced work stress caused by excessive workload. Banggai Regency is one of the regions in the province of Central Sulawesi. The purpose of this study was to find out how individual characteristics and working conditions can affect the mental workload of nurses at the Banggai District Health Center. this study uses the chi-square method. The sample used in this study is a nurse who is actively working at the Banggai District Health Center. The number of samples used is 225 nurses. The sampling technique is the Slovin technique. The measuring tool used is a research questionnaire from NASA TLX. This questionnaire is used to measure the mental workload of nurses at the Banggai District Health Center. Data were analyzed by univariate and bivariate. The results of this study indicate that the mental workload of nurses in Banggai Regency is in the high category (70.2%). The results of the bivariate analysis found that there was a relationship between age, task demands, work environment and the mental workload of nurses at the Banggai District Health Center (p-value 0.000). There is no relationship between gender and the mental workload of nurses at the Banggai District Health Center. The results of the multivariate analysis of age and task demands have a positive effect on workload, while the work environment has a negative effect on workload. The work environment is the most dominant factor affecting the mental workload of nurses at the Banggai District Health Center