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ANALISIS KETIGGIAN MEJA KERJA YANG IDEAL TERHADAP POSTUR PEKERJA DIVISI CUTTING INDUSTRI GARMEN DENGAN POSTURE EVALUATION (PEI) PADA VIRTUAL ENVIROMENT Nurtjahyo, Boy; Muslim, Erlinda; Hidayatno, Akhmad; Yogamaya, Nandyka; Zulkarnain, Zulkarnain
J@ti Undip : Jurnal Teknik Industri Volume 5, No.2, Mei 2010
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (240.393 KB) | DOI: 10.12777/jati.5.2.97-104

Abstract

Penelitian ini mencoba untuk mengimplementasikan suatu metodologi untuk mempelajari, dalam lingkungan virtual, aspek ergonomi dari suatu tempat kerja di industri garmen. Variabel tempat kerja yang diteliti dalam penelitian ini adalah ketinggian meja kerja. Tujuan penelitian ini adalah mendapatkan konfigurasi ketinggian meja yang ideal bagi pekerja divisi cutting industri garmen. Tool yang digunakan dalam menyelesaikan skripsi ini adalah Posture Evaluation Index yang mengintegrasikan skor Low Back Analysis (LBA), Ovako Working Posture (OWAS), dan Rapid Upper Limb Assessment (RULA). Penentuan konfigurasi yang ideal dilakukan dengan mempertimbangkan jenis pekerjaan dan posisi kerja ketika melakukan pekerjaan tersebut, apakah dalam posisi duduk atau berdiri. Analisis dilakukan dengan menggunakan model manusia digital yang disediakan software Jack pada virtual environment. Hasil penelitian dapat digunakan sebagai referensi dalam merancang tempat kerja yang lebih baik secara ergonomis. Kata kunci : Ergonomi, Virtual Environment, Divisi Cutting  Industri Garmen, Posture Evaluation Index   Abstract   The research deals with the implementation of a methodology in order to study, in a virtual environment, the ergonomics of a work cell in garment industry. The work cell’s variable studied in this research is table height. The goal of this research is to determine an ideal table height for the workers of cutting division in garment industry. The tool to conduct this research is called Posture Evaluation Index (PEI) which integrates the score of Low Back Analysis (LBA), Ovako Working Posture (OWAS), dan Rapid Upper Limb Assessment (RULA). The Determination of table height configuration is based on type of work and work position (standing or sitting). The research uses digital human model form Jack software in a virtual environment. The result from this research can be a reference for future work cell design. Keywords: Ergonomics, Virtual Environment, Cutting Division of Garment Industry, Posture Evaluation Index
Ergonomic Analysis of UI’s BicyclesUsing Posture Evaluation Index (PEI) Method in Virtual Environment Muslim, Erlinda; Nurtjahyo, Boy; Zulkarnain, Zulkarnain; Afrinotha, Liza
Makara Journal of Technology Vol. 14, No. 1
Publisher : UI Scholars Hub

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Abstract

Ergonomic Analysis of UI’s Bicycles Using Posture Evaluation Index (PEI) Method in Virtual Environment. This research was conducted to study the ergonomic aspect of University of Indonesia’s bicycles in virtual environment. Software Jack 6.0 was used to analyze it. PEI was used as an approach that integrated the results of three methods: lower back analysis (LBA), ovako working posture analysis (OWAS), and rapid upper limb assessment (RULA). The research objective is to evaluate the existing design of University of Indonesia’s bicycles and to determine the most ergonomic redesign which concerns handlebar height and saddle height modification. The result showed that the most ergonomic design of University of Indonesia’s bicycles is the one with the highest handlebar height (22 cm) and the lowest saddle height (11 cm).
Ergonomic Analysis of Garment Industry using Posture Evaluation Index (PEI) in Virtual Environment Muslim, Erlinda; Nurtjahyo, Boy; Ardi, Romadhani
Makara Journal of Technology Vol. 15, No. 1
Publisher : UI Scholars Hub

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Abstract

Ergonomic Analysis of Garment Industry using Posture Evaluation Index (PEI) in Virtual Environment. This research tried to study, in a virtual environment, the ergonomics of four divisions in garment industry: cutting division, sewing division, button division, and finishing division. Variables that influence the working conditions in each division are different; depend on the real situations that happened. The purpose is to assess the real working conditions based on ergonomics study using Posture Evaluation Index (PEI). PEI integrates the scores of low back analysis (LBA), ovako working posture (OWAS), and rapid upper limb assessment (RULA). Analysis phase was done using digital human model in virtual environment that available on Jack 6.0. The results show that the working conditions in garment industry had enough amount of risk that can injured the musculoskeletal system of the workers. This research enriches the body of ergonomics knowledge in Indonesia because it is the first research in Indonesia that applied virtual environment approach to ergonomics analysis in industry.