Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri
Nurcahya, Fauziah
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
PENGARUH KEBISINGAN PRODUKTIFITAS KERJA PADA DIVISI POWER HOUSE DI PT ABC Juliansyah, Juliansyah; Finarsita, Laesya Syifa; Nurcahya, Fauziah; Suyono, Annisa Maharani
Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 4 No. 1 (2024): Jurnal Taguchi : Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/tgc.v4i1.161

Abstract

Ergonomics is essential for work efficiency and productivity, and workplace noise significantly impacts health and comfort. To reduce interference, noise sources should be eliminated. According to PMK RI No.5 of 2018 concerning Occupational Safety and Health, control of the Work Environment can be carried out in five ways, namely elimination control, and noise sources. Power House PT ABC, an important part of the pharmaceutical company, provides electrical energy to support operational activities. Field studies show workers in the power house experience emotional disturbances, impaired concentration, and ringing in the ears due to noise. This study was conducted to determine the effect of noise on work productivity at Power House PT ABC.  The data collection technique carried out in this study is using primary data by making direct observations at the Power House of PT ABC. Noise data collection was carried out using a sound level meter (SLM) tool and using questionnaires to measure work productivity at the Power House PT ABC. The data analysis technique carried out in this study used a simple linear regression test. Data processing is carried out using IBM SPSS Statistics 26 Software. The results of this study stated that there was an influence of noise on productivity as much as 93.3% with a strong relationship in the correlation between variables used in the study. The results of the linear regression equation state that noise can reduce work productivity by a constant value of -0.235 and the regression coesient number obtained can be interpreted that any increase in noise can affect work productivity by 0.046
Co-Authors Finarsita, Laesya Syifa Juliansyah Juliansyah Suyono, Annisa Maharani