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All Journal OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Sistem Teknik Industri
Nugroho, Bayu Hari
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Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Analysis of Social Distancing Variables to Prevention of Positive Cases of Covid-19 Using Path Analysis Method Atikno, Welly; Kurnia, Hibarkah; Indra Setiawan; Setiawan, Bambang; Nugroho, Bayu Hari; Wahid, Muhammad
Jurnal Sistem Teknik Industri Vol. 24 No. 2 (2022): JSTI Volume 24 Number 2 July 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i2.8499

Abstract

Prevention of Covid-19 is important for research in order to reduce positive cases that occur in Indonesia. One of the popular research is using analytical method. The purpose of this study was to determine the relationship between work activity behavior, government and community regulations and social distancing as a mediator in preventing an increase in Covid-19 cases in West Java. This research method uses path analysis model. Social distancing variables directly have a positive and significant impact on preventing positive cases of Covid-19, meaning that with social distancing the spread of the Covid-19 virus can be reduced. The effect of social distancing on the prevention of positive cases of Covid-19 is 87% and the remaining 13% is due to the influence of other factors. Based on the four variables used as predictors of the prevention of Covid-19 cases, the social distance variable is the strongest variable that affects the prevention of positive cases of Covid-19 compared to the other three variables. Social distancing is very important to reduce the spread of Covid-19 cases. The implication of this research shows that awareness of people's behavior by keeping a distance is very important to prevent the Covid-19 virus.
Sigma level choice examination in executing incline Lean Six Sigma (LSS) within the material and item material industry Kurnia, Hibarkah; Wiyatno, Tri Ngudi; Nugroho, Bayu Hari; Nuryono, Arif
Operations Excellence: Journal of Applied Industrial Engineering Vol. 17 No. 1 March 2025
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2025.v17.i1.134

Abstract

Many manufacturing industries in the world use the Lean Six Sigma (LSS) approach in analyzing and improving waste activities and reducing production defects. The Textile and Product Textile (TPT) industry can also be easily implemented because this industry is a labor-intensive industry. However, in its development, no one has analyzed the sigma level in the TPT industry by reviewing studies. The sigma level obtained from various sources and various types of TPT industries cannot yet be concluded about the sigma level value for each type of industry. This research points to look at writing articles related to LSS, particularly within the TPT industry. This inquire about employments the clustering strategy, specifically a refinement research strategy taken within the TPT industry within the writing review. This ask around found dispersions of 55 articles that were effectively studied inside the composing with the Six Sigma technique being the preeminent broadly utilized and more explore objects based on the tall quality of 41 articles. Gathering by industry section is the piece of clothing industry with 14 articles that reinforce the LSS. In the interim, based on nation groupings, the biggest number is Indonesia with 19 articles. It is trusted that this inquire about commitment can ended up a reference for anybody who will utilize LSS within the fabricating industry.
Co-Authors Arif Nuryono, Arif Atikno, Welly Bambang Setiawan Indra Setiawan Tri Ngudi Wiyatno Wahid, Muhammad