scholarly journals Perancangan Fasilitas Kerja pada Operator Pemasangan Accesories di CV. X untuk Mengurangi Risiko Musculoskeletal Disorders (MSDs)

2021 ◽  
Vol 1 (1) ◽  
pp. 28-35
Author(s):  
Shifa Salimatusadiah ◽  
Nur Rahman As’ad ◽  
Puti Renosori
Keyword(s):  
Musculoskeletal Disorders ◽  
Muscle Injury ◽  
Sitting Position ◽  
Order Process ◽  
Lower Back ◽  
Make To Order ◽  
Body Map ◽  
Analysis System ◽  
A Company

Abstract. CV. X is a company engaged in the convection of women's bags and mini backpacks. CV. X uses the make to order process. In the process of making a mini backpack, the activities are carried out in a sitting position according to the standard, namely the sewing process, while for the process of the pattern, the cutting process, and the process of installing the accessories are done in a sitting position on the floor without a base. Based on the results of interviews with operators, it was found that the most complaints with the working conditions of the neck bowed, back bent, sat barefooted with legs crossed occurred in the operator mounting accessories. The method used is the OWAS method and the Nordic Body Map Questionnaire. Based on the results of interviews and the Nordic Body Map questionnaire, complaints were felt that consisted of neck, lower back and lower legs, knees, buttocks, and ankles. The following conditions cause muscle injury, musculoskeletal disorders. The results of the determination of work risk using the Ovako Working Analysis System (OWAS) method obtained all work elements in the process of installing accessories with the second level category, namely the process of gluing spots, cutting relief materials, linking relief and hurdles, linking spots, uniting all elements, and installing accessories. Abstrak. CV. X merupakan perusahaan yang bergerak dibidang konveksi tas wanita dan mini backpack. CV. X menggunakan proses make to order. Pada proses pembuatan tas mini backpack yang aktivitasnya dikerjakan dengan posisi duduk sesuai standar yaitu proses penjahitan, sedangkan untuk proses pola, proses potong, dan proses pemasangan accesories dikerjakan dengan posisi duduk dilantai tanpa alas dilakukan secara berulang-ulang dan dalam jangka waktu yang lama. Berdasarkan hasil wawancara dengan operator didapatkan bahwa keluhan terbanyak dengan kondisi kerja leher menunduk, punggung membungkuk, duduk tanpa alas dengan kaki menyilang terjadi pada operator pemasangan accesories. Metode yang digunakan yaitu metode OWAS dan Kuisioner Nordic Body Map. Berdasarkan hasil dari wawancara dan kuisioner Nordic Body Map diperoleh keluhan yang dirasakan terdiri dari bagian leher, punggung atas dan bawah, lutut, bokong/paha, dan pergelangan kaki.. Hasil dari penentuan risiko kerja menggunakan metode Ovako Working Analysis System (OWAS) didapat seluruh elemen kerja pada proses pemasangan accesories dengan kategori level dua yaitu proses merekatkan bintik, menggunting bahan lega, mengaitkan lega dan gawang, mengaitkan bintik, menyatukan semua elemen, dan pemasangan accesories.

Posture Analysis Using Nordic Body Map and Rapid Office Strain Assessment Methods to Improve Work Posture

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Melia Agustin ◽  
Hendy Tannady ◽  
Octa Ferdian ◽  
Samuel Imanuel Gunawan Alamsjah
Keyword(s):  
Musculoskeletal Disorders ◽  
Severe Pain ◽  
Service Sector ◽  
The Body ◽  
Educational Services ◽  
Posture Analysis ◽  
Risk Of Injury ◽  
Work Posture ◽  
Body Map ◽  
A Company

<p><em>Jaya Launch Pad is a company engaged in educational services. It is undeniable that service sector companies such as Jaya Launch Pad also have a workforce whose work posture may be less ergonomic, which can lead to musculoskeletal disorders. Musculoskeletal disorders can be experienced by people of all ages. Therefore, this study focuses on work posture. This research occurred because of complaints experienced by staff. The number of samples used in this study was 1 person. This was influenced by the Covid-19 pandemic situation so that there was only 1 staff when the observation was made. The research method used was the nordic body map (NBM) to determine which parts of the body are experiencing complaints, and the rapid office strain assessment (ROSA) to measure the risk of injury due to the posture of sitting at a computer for 8 hours. The result is that the complaint assessment using the NBM questionnaire has a score of 52 (needs improvement at a later date) with 4 categories of severe pain, namely back, waist, buttocks, and buttocks. Meanwhile, the score from the ROSA table is 6 which means it is risky / dangerous so that it needs improvement. Therefore, a proposed condition is given in the form of a replacement of work facilities in the form of a work chair with adjustable height and adjustable armrests. This improvement is assumed to be able to reduce the level of staff complaints, and the calculation result of the rapid office strain assessment (ROSA) is 4 which means no risk so that this improvement is accepted and can solve the work posture problem of staff at Jaya Launch Pad.</em></p><p><em> </em></p><p> </p>

scholarly journals Analisis Risiko Postur Kerja pada Pengoperasian Mesin Pengolah Sampah Plastik Creatics

Jurnal METRIS ◽  
2021 ◽  
Vol 22 (01) ◽  
pp. 21-26
Author(s):  
Aprilia Tri Purwandari
Keyword(s):  
Musculoskeletal Disorders ◽  
Working Postures ◽  
Body Map ◽  
Analysis System

Ketidaknyamanan dalam postur kerja dapat mengakibatkan berbagai permasalahan dalam bekerja. Musculoskeletal Disorders (MSDs) atau gangguan pada otot, sendi dan sistem syaraf merupakan permasalahan yang paling banyak terjadi akibat bekerja. Hal tersebut dapat mendatangkan kerugian, baik bagi pekerja maupun perusahaan. Salah satu penyebab musculoskeletal disorders adalah postur kerja yang tidak ergonomis yang dapat membahayakan keselamatan dan kesehatan pekerja. Tujuan penelitian ini adalah menganalisis postur kerja dalam mengoperasikan mesin pengolah sampah terintegrasi Creatics. Metode yang digunakan adalah adalah penyeberan kuesioner Nordic Body Map (NBM) untuk mendeteksi keluhan sakit pada bagian tubuh pekerja dan metode observasi Ovako Working Postures Analysis System (OWAS) untuk mendukung hasil kusioner NBM untuk menentukan risiko bahaya dari postur kerja. Hasil yang diperoleh adalah responden mengalami keluhan sakit pada kaki, lutut, paha, lengan, pinggang, lengan atas kanan, lengan bawah kanan, bahu kanan dan pinggang. Hal ini didukung oleh hasil penilaian dengan OWAS yang menunjukkan postur kerja masuk dalam kategori dua, yaitu berbahaya dan perlu perbaikan pada rancangan mesin Creatics di masa yang akan datang.

scholarly journals Prevalensi Dan Faktor-Faktor Penyebab Musculoskeletal Disorders Pada Operator Gudang Industri Ban PT X Tangerang Indonesia

2019 ◽  
Vol 5 (1) ◽  
pp. 10
Author(s):  
Chindy Elsanna Revadi ◽  
Cahya Surya Gunawan ◽  
Galih Jaler Rakasiwi
Keyword(s):  
Skeletal Muscle ◽  
Work Environment ◽  
Musculoskeletal Disorders ◽  
Musculoskeletal System ◽  
Educational Background ◽  
Tire Industry ◽  
Lower Back ◽  
Work Posture ◽  
Body Map ◽  
Warehouse Workers

Musculoskeletal disorders which are an injury or pain in the human musculoskeletal system can reduce productivity especially the warehouse workers at a tire industry.  This research aims to observe the prevalence and the factors which increase the musculoskeletal disorders among the warehouse workers at a tire industry.  Thirty warehouse workers of a tire warehouse participated in this study by filling out a Nordic Body Map questionnaire or skeletal muscle complaints instrument. The result of this study showed that the highest prevalence of the musculoskeletal disorders at the warehouse workers at a tire industry occurred at the lower back area. The factors which influence the risk of musculoskeletal disorders of the warehouse workers at the tire industry are age, weight, educational background, and the duration of working by using the lower back, knees, and ankles. To reduce the risk of musculoskeletal disorders, it is necessary to supervise the work posture and design a work environment which involves all members of the company.

scholarly journals Prevalence of Musculoskeletal Problems among Cobblers in Footwear Repairing Work

2020 ◽  
pp. 68-72
Author(s):  
Deepika Pandey ◽  
Aditi Vats
Keyword(s):  
Musculoskeletal Disorders ◽  
Lower Leg ◽  
Sitting Position ◽  
Body Regions ◽  
Lower Back ◽  
Workstation Design ◽  
Musculoskeletal Problems ◽  
Continuous Bending ◽  
Nordic Musculoskeletal Questionnaire ◽  
Unorganized Sector

Cobbling or shoe-repairing is one of the aged old occupations belonging to unorganized sector. Majority of workers are dependent on this occupation for livelihood. The cobblers work in sitting position mainly on the busy routes with congested surroundings. The present study was conducted among 100 cobblers working in Uttarakhand State, India with an objective to find out the musculoskeletal pain or discomfort faced by them during their work. The data was collected using Standardized Nordic Musculoskeletal Questionnaire. Results revealed that the cobblers suffered from pain or discomforts in different body regions especially lower back, neck and lower leg. Sitting with folded legs and continuous bending of neck during work were the major reasons of pain/discomfort. Various muscle relaxing exercises can help the cobblers to overcome the risk of developing musculoskeletal disorders. Further, an ergonomic workstation design will help in improving their workplace wellbeing.

A Low Cost Motion Analysis System Based on RGB Cameras to Support Ergonomic Risk Assessment in Real Workplaces

2020 ◽  
Author(s):  
Alex Altieri ◽  
Silvia Ceccacci ◽  
Abudukaiyoumu Talipu ◽  
Maura Mengoni
Keyword(s):  
Risk Assessment ◽  
Musculoskeletal Disorders ◽  
Motion Analysis ◽  
Low Cost ◽  
Motion Analysis System ◽  
Industrial Case Study ◽  
Postural Assessment ◽  
Analysis System

Abstract This paper introduces a motion analysis system based on a network of common RGB cameras, which provides the measurement of various angles considered for postural assessment, in order to facilitate the evaluation of the ergonomic indices commonly used for the determination of risk of musculoskeletal disorders of operators in manufacturing workplaces. To enable the tracking of operator postures during the performed tasks, the system exploits the multi person keypoints detection library “OpenPose”. The proposed system has been validated with a real industrial case study regarding a washing machine assembly line. Results suggest how the proposed system supports ergonomists in risk assessment of musculoskeletal disorders through the OCRA index.

scholarly journals Mendesain Meja Dan Kursi Ergonomi Dengan Mengacu Pada Nilai Antropometri Untuk Bagian Checking Rubber (Outsole) Di PT. Victory Chingluh Indonesia

2021 ◽  
Vol 6 (2) ◽  
pp. 123
Author(s):  
Tri Widodo ◽  
Ismail Fardiansyah ◽  
Ali Gufron
Keyword(s):  
Musculoskeletal Disorders ◽  
High Intensity ◽  
High Category ◽  
Map Design ◽  
Body Map ◽  
Chair Design ◽  
A Company ◽  
Keywords Ergonomics ◽  
Very High ◽  
Sports Shoes

PT. Victory Chingluh Indonesia is a company engaged in the manufacture of sports shoes in collaboration with an American brand, namely Nike. From the results of the Nordic Body Map Questionnaire at the PPIC RH department of the checking ruber section, many workers have complaints in the muscles (musculoskeletal disorders) due to non-ergonomic workplaces as many as 20 workers or 64.5% feel pain in the high category, as many as 8 workers or 25, 8% felt pain in the moderate category, for the category of pain with very high intensity as many as 2 workers or 6.4% and 1 worker or 3.2% felt pain in the low category. From these results, it is necessary to take further action by making ergonomic designs of Working Furnitures (tables and chairs) with reference to anthropometric values. With this reference, we get a table design with a length of 133.6 cm using the 5th percentile, a table width of 66.8 cm with a 5th percentile and a table height of 63.2 and a chair design with a chair height of 41.2 cm with a 50th percentile. -, the width of the seat base is 40.5 cm with the 95th percentile, it is expected that workers who have a maximum hip width can use the chair, the length of the seat base is 37.8 cm with the 5th percentile, the height of the seat back is 54.5 cm with the 50th percentile th and the width of the seat backrest is 48.9 cm with the 95th percentile. Keywords: Ergonomics, Anthropometry, musculoskeletal disorders. Nordic body map, design

scholarly journals FAKTOR RISIKO ERGONOMI DENGAN TERJADINYA KELUHAN MUSCULOSKELETAL DISORDERS PADA PEKERJA OVERHAUL

2018 ◽  
Vol 7 (1) ◽  
pp. 42
Author(s):  
Iin Viradiani
Keyword(s):  
Musculoskeletal Disorders ◽  
Total Population ◽  
Assessment Method ◽  
Entire Body ◽  
Descriptive Research ◽  
Strong Relation ◽  
Body Map ◽  
Cross Tabulation ◽  
Rapid Entire Body Assessment ◽  
A Company

PT PJB UPHT is a company that runs a service in maintaining a unit of power station. The job description includes overhaul that is done manually by its workers. This work that is done manually has a risk of suffering musculoskeletal. The aim of this study is to examine the relation between the risk of ergonomic’s factor with musculoskeletal disorders on overhaul workers in mechanical turbine department. This study is an observational descriptive research. The tool used to measure musculoskeletal disorders was Nordic Body Map (NBM) checklist sheet. In order to measure the work postures of workers, REBA (Rapid Entire Body Assessment) method was employed. Meanwhile, questionnaires were used to know types of work. The total population of this research was 17 workers in mechanical turbine. The data was analyzed using cross tabulation to see the relation strength. The result of this study shows that all overhaul workers in mechanical turbine suffer from musculoskeletal. It can be concluded that the risk of ergonomic’s factor in this case is type of work have strong relation to the suffering of musculoskeletal on workers.Keywords: mechanical turbine workers, musculoskeletal disorders, the risk of ergonomic’s factor

Comparison of SVM, RF and SGD Methods for Determination of Programmer's Performance Classification Model in Social Media Activities

2020 ◽  
Vol 4 (2) ◽  
pp. 329-335
Author(s):  
Rusydi Umar ◽  
Imam Riadi ◽  
Purwono
Keyword(s):  
Social Media ◽  
Gradient Descent ◽  
Classification Model ◽  
Stochastic Gradient Descent ◽  
Support Vector ◽  
Svm Algorithm ◽  
Vector Machines ◽  
Performance Patterns ◽  
A Company

The failure of most startups in Indonesia is caused by team performance that is not solid and competent. Programmers are an integral profession in a startup team. The development of social media can be used as a strategic tool for recruiting the best programmer candidates in a company. This strategic tool is in the form of an automatic classification system of social media posting from prospective programmers. The classification results are expected to be able to predict the performance patterns of each candidate with a predicate of good or bad performance. The classification method with the best accuracy needs to be chosen in order to get an effective strategic tool so that a comparison of several methods is needed. This study compares classification methods including the Support Vector Machines (SVM) algorithm, Random Forest (RF) and Stochastic Gradient Descent (SGD). The classification results show the percentage of accuracy with k = 10 cross validation for the SVM algorithm reaches 81.3%, RF at 74.4%, and SGD at 80.1% so that the SVM method is chosen as a model of programmer performance classification on social media activities.

Work-related musculoskeletal disorders in highway sanitary workers

2015 ◽  
Author(s):  
Happiness Anulika Aweto ◽  
Oluwatoyosi Babatunde Owoeye ◽  
Korede Sunday Adegbite
Keyword(s):  
Musculoskeletal Disorders ◽  
Body Part ◽  
Sudden Onset ◽  
Work Related ◽  
Significant Relationships ◽  
Lower Back ◽  
Gradual Onset ◽  
Work Related Musculoskeletal Disorders ◽  
The Mean ◽  
Low Prevalence

Background: Highway sanitary workers are exposed to various health hazards in the course of duty. This study investigated the prevalence of work-related musculoskeletal disorders (WMSDs) among highway sanitary workers in Lagos Waste Management Authority (LAWMA), Lagos, Nigeria.Method: Two hundred fifty highway sanitary workers (46 males and 204 females) of LAWMA selected from four Local Government Areas of Lagos State, Nigeria completed a 26-item questionnaire that collected information on WMSDs.Results: The 12-month prevalence of WMSDs among the workers was 24.8%. The most commonly affected body part was the lower back (22.0%). Thirty-seven (59.7%) of the respondents reported gradual onset of musculoskeletal disorders (MSDs) while 25 (40.3%) reported sudden onset. The mean years of working experience was 3.22 + 0.23 years with 111 (44.4%) of the respondents having worked for 4 years and 7 (2.8%) having worked for 1year. The three major job risk factors identified were: continuing to work when injured (87.2%), working in the same position for long periods (53.6%) and lifting heavy materials (52.4%). Pearson’s Product Moment Correlation Coefficient analysis showed that there were significant relationships between prevalence of WMSDs and age (r = 0.42, p = 0.001*) and years on the job (r = 0.17, p = 0.01*).Conclusion: There was a low prevalence of WMSDs among highway sanitary workers of LAWMA. The most commonly affected body part was the lower back. Increasing age and years of working experience are significant factors that can contribute to the development of WMSDs among these workers.

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