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All Journal Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri
Johan Alfian Pradana
Institut Adhi Tama Surabaya
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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FUZZY SUGENO- BIOMEKANIKA-NIOSH-NBM: PENILAIAN RISIKO AKTIVITAS PENYARINGAN BUBUR KEDELAI Johan Alfian Pradana; Ilham Fauzul Fahmi; Erwin Putra Setya Indiarto; Sindy Nindia Maretha Haristanti
Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 2 No. 1 (2022): Jurnal Taguchi : Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.883 KB) | DOI: 10.46306/tgc.v2i1.21

Abstract

The purpose of this study was for risk assessment of soybean pulp filtration activities using Fuzzy Sugeno, NBM, Biomechanics, and NIOSH. Design this research with fuzzy integration – ergonomics. Research methods with observation stages and documentation of working postures, filling NBM questionnaires, assessing Fcompression and Fshear, designing fuzzy sugeno to assess job risks. The findings in this study were a 35% risk of fuzzy sugeno approaching pain. NBM pain points ≥ 80% with biomechanics value declared Fcompression and Fshear meet not at risk. An average Lifting Index assessment of 1.8 kg may be at risk for soy porridge filtering activities. Overall, soy porridge filtration activities still have risks. Therefore, it needs to be reviewed further. Improvements in the work environment and work facilities can also support in reducing the risk of muscle injury while working
KUALITAS SISTEM LAYANAN MENGGUNAKAN METODE FUZZY- SERVICE QUALITY Johan Alfian Pradana; Ni Luh Putu Hariastuti
Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 3 No. 1 (2023): 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.v3i1.46

Abstract

Improving the service quality system is an important role in universities. The purpose of the study was to determine the highest gap of each fuzzy- servqual dimension. Research procedures with statistical test steps, designing fuzzy methods, and designing fuzzy- servqual gaps. Determination of the highest level of expectation and expectation gaps from users of the administrative service system using fuzzy- service quality includes ASR3 codes of -2.25, RLB3 -2.2, RSP2 -2.17, EPT3 -1.99, TGB5 -1.85. The gap is the highest of each dimension.
Co-Authors Erwin Putra Setya Indiarto Ilham Fauzul Fahmi Ni Luh Putu Hariastuti Sindy Nindia Maretha Haristanti