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All Journal Jurnal Teknoin Journal of Industrial Engineering Management
Hartomo Hartomo
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Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering

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Validation of Ergonomics Model for Estimating Work Productivity and Quality in Manual Handling Activities Hartomo Hartomo; Azmi Hassan; C.Hassan Che Haron
Teknoin Vol. 10 No. 2 (2005)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/.v10i2.686

Abstract

Tujuan penelitian ini adalah melakukan uji validasi model ergonomi tentang waktu pergerakan kerja untuk mengukur produktivitas dan kualitas kerja. Model ini dikembangkan berdasarkan interaksi antara parameter-parameter postur kerja, masa beban dan dimensi tempat kerja. Ekseperimen dilakukan untuk mensimulasikan aktivitas pengangkatan beban dengan melibatkan pekerja yang berusia diantara 21 hingga 25 tahun. Pekerja tersebut diinstruksikan untuk mengangkat tiga masa beban yang berbeda yaitu 2 kilogram, 6 kilogram dan 10 kilogram ke atas meja kerja dengan tinggi masing-masing 55 cm dan 76 cm dengan menggunakan dua postur pengangkatan, postur membungkuk (Stooping) dan postur berjongkok (Squating). Aktivitas pengangkatan ini direkam dengan menggunakan handycam dan kalibrasi dilakukan untuk menentukan skala gambar terhadap benda nyata. Uji statistik t digunakan untuk menguji kesahihan model. Hasil uji ini menunjukkan bahwa tidak ada perbedaan yang siginifikan antara waktu pergerakan nyata dengan waktu pergerakan yang ditentukan dengan model. Dengan demikian model yang dikembangkan adalah valid pada tingkat signifikansi 1%, 5% dan 10% sehingga model dapat diaplikasikan. Kata kunci: produktivitas dan kualitas kerja, waktu pergerakan, postur kerja,  model ergonomi.
ANALISIS HUMAN REABILITY DAN PERBAIKAN PROSES PENGOLAHAN GULA RAFINASI Hartomo Hartomo; Asih Setyorini
Journal of Industrial Engineering Management Vol 4, No 2 (2019): Journal of Industrial Engineering Management Vol. 4 No. 2
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.264 KB) | DOI: 10.33536/jiem.v4i2.446

Abstract

In Indonesia sugar needs is very significant along with the population, food and beverage industries, so the sugar industry is required to provide quality products. Determination of standardization of sugar quality in processing is influecend by machine conditions and human reability. This studyaims to analyze human error inrefiend sugar processing and determine recommedations for improvements neede to improve human reability in refined sugar processing. The methodused in this study is the Human Error Assesment and Reduction Techiue (HEART) and Human Error Reduction and Prediction Approach (SHERPA)which can calculate and provide solutions to the probability of the occurrence of errors. The results of this study indicate that the total human reability value of refined sugar processing is 5,34891 and there are 4 improvenebt strategies, such as undertake briefing, make records by making checklist form and making display poster about cleanliness
PENGUKURAN BEBAN KERJA OPERATOR STACKER RECLAIMER PADA BAGIAN COAL HANDLING DI PLTU CILACAP Hartomo Hartomo; Sigit Suwarto; Ahmad Padhil
Journal of Industrial Engineering Management Vol 4, No 2 (2019): Journal of Industrial Engineering Management Vol. 4 No. 2
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (260.213 KB) | DOI: 10.33536/jiem.v4i2.448

Abstract

I Efforts to determine the level of workload provided to employees is by measuring and evaluating the extent of the workload felt by employees. The higher the workload borne by employees, the higher the pressure, responsibility and targets that must be met by employees. Therefore, this study aims to measure the level of workload on the reclamer stacker Operator in the coal handling section of the Cilacap power plant for 3 work shifts, night, morning and evening shifts. In the process of measuring workload using a set of research questionnaires, 4 variables from the Defense Research Agency Workload Scale (DRAWS) method become the approach or basis for this research. The 4 variables are Input Demand, Central Demand, Output Demand and Time Pressure. Each of these variables represents the work performed by the reclamer stacker Operator. The results showed that for the three work shifts included in the category of overload with the acquisition of an average value of 73% or greater than 60% ( 60%). The level of complexity of work and work activities under pressure can cause workloads to be high which can ultimately lead to work accidents. In addition, from the results of the workload assessment using the DRAWS method, the highest value is found in the Central Demand (CD) variable, which is 80.5%. This means that the Operator feels the work activity on the variable CD is greater when compared to the work activity on other variables
Co-Authors Ahmad Padhil Asih Setyorini Azmi Hassan C.Hassan Che Haron Sigit Suwarto