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All Journal Journal Innovation of Civil Engineering (JICE) SLUMP TeS : Jurnal Teknik Sipil
mukti, hazin
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Civil Engineering, Building, Construction & Architecture Energy Engineering Environmental Science Materials Science & Nanotechnology Transportation

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ANALYSIS OF OCCUPATIONAL SAFETY AND HEALTH (K3) RISK IN THE CONSTRUCTION OF SAMPANG SOUTH RING ROAD (JLS) USING HAZID HIRA AND HAZOP METHODS mukti, hazin; Zabadi, Fairus
Journal Innovation of Civil Engineering (JICE) Vol 4 No 2 (2023)
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jice.v4i2.20553

Abstract

Occupational Health and Safety (K3) is all engineering activities to support construction work in realizing the fulfillment of security, safety, health, and sustainability standards that ensure construction engineering safety, workforce safety and health, public safety, and environmental safety. This research was conducted to determine the risks of work accidents, identify technical implementation risk factors, and determine responses to the most dominant risks. The method used is HIRA, HAZID, and HAZOP. In HIRA, 4 dominant risk variables may occur during the construction of the South Ring Road (JLS) Sampang, namely: (X4.4), (X5.3), (X6.1), and (X6.2). To determine whether or not the variable data used to use the HAZID method is to use a preliminary questionnaire which is distributed before the main questionnaire. the correlation value of each variable is obtained or it is called the r count, then the r count can be compared with r table. To determine the risk response and recommendations that may occur using the HAZOP method is to use literature studies from previous journals as well as occupational safety and health standards. Thus, 19 recommendations for controlling the 4 dominant risks that may occur in the South Ring Road (JLS) Sampang project are obtained. Keywords: Occupational Safety and Health (K3), HAZID Method, HIRA Method, and HAZOP Method
Alternatif Manajemen Kapasitas Proyek Peningkatan Struktur Jalan Labuhan Sreseh Kabupaten Sampang Mukti, Hazin; Zabadi, Fairus
SLUMP TeS : Jurnal Teknik Sipil Vol. 3 No. 1 (2024): SLUMP TeS : Jurnal Teknik Sipil
Publisher : Sekolah Tinggi Teknologi Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52072/slumptes.v3i1.848

Abstract

Capacity is a breakthrough or a number of units that a facility can storage, receive, or produce in a particular time period. Capacity often determines the need for capital and therefore large fixed costs. This research uses quantitative methods. There is an effect of capacity planning variables (x1) on capacity management (y) with gis value. 0.012 < 0.05 and t_calculated value 2.694 > 2.056. There is an influence of capacity implementation variables (x2) on capacity management (y) with sig value. 0.000 < 0.05 and t_calculated value 5.101 > 2.056. There is no influence of capacity monitoring variables (x3) on capacity management (y) with sig value. 0.659 > 0.05 and t_calculated value -.447 < 2.056. The variable or indicator that most dominantly influences capacity management is capacity implementation (x2) with a value of 5.101.  There is a similar influence of all variables on capacity management. With f value of 44.028 > 2.96 in gis. 0.000 < 0.05. R square results of 0.836, can mean that 83.6% of capacity management is influenced by all variables.
Alternatif Manajemen Kapasitas Proyek Peningkatan Struktur Jalan Labuhan Sreseh Kabupaten Sampang Mukti, Hazin; Zabadi, Fairus
SLUMP TeS : Jurnal Teknik Sipil Vol. 3 No. 1 (2024): SLUMP TeS : Jurnal Teknik Sipil
Publisher : Sekolah Tinggi Teknologi Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52072/slumptes.v3i1.848

Abstract

Capacity is a breakthrough or a number of units that a facility can storage, receive, or produce in a particular time period. Capacity often determines the need for capital and therefore large fixed costs. This research uses quantitative methods. There is an effect of capacity planning variables (x1) on capacity management (y) with gis value. 0.012 < 0.05 and t_calculated value 2.694 > 2.056. There is an influence of capacity implementation variables (x2) on capacity management (y) with sig value. 0.000 < 0.05 and t_calculated value 5.101 > 2.056. There is no influence of capacity monitoring variables (x3) on capacity management (y) with sig value. 0.659 > 0.05 and t_calculated value -.447 < 2.056. The variable or indicator that most dominantly influences capacity management is capacity implementation (x2) with a value of 5.101.  There is a similar influence of all variables on capacity management. With f value of 44.028 > 2.96 in gis. 0.000 < 0.05. R square results of 0.836, can mean that 83.6% of capacity management is influenced by all variables.
Co-Authors Zabadi, Fairus