GPH - International Journal Of Mechanical And Civil Engineering <p style="font-family: Comic Sans MS;">GPH Journal publishes original papers within the broad field of civil &amp; mechanical → engineering which include, but are not limited to: Coastal and Harbor Engineering, Architecture and Construction Engineering, Environmental Engineering, Materials Engineering, Structural Engineering, Water and Sanitary Engineering, Transportation Engineering, Surveying and Geodesy. Construction Management, Geo-technical Engineering, Highway Engineering, Information Technology, Nuclear Power Engineering, Railroad Engineering, Structural Engineering, Surveying and Geo-Spatial Engineering, Tunnel Engineering, Water Engineering.</p> en-US <p>Author(s) and co-author(s)&nbsp;jointly&nbsp;and severally represent and warrant that the Article is original with the author(s) and does not infringe any&nbsp;copyright or violate any other right of any third parties, and that the Article has not been published&nbsp;elsewhere.&nbsp;Author(s) agree to the terms that the <strong>GPH Journal</strong> will have the full right to remove the published article on any misconduct found in the published article.</p> (Dr. EKEKE, JOHN NDUBUEZE) (Fran) Thu, 22 Dec 2022 17:20:03 +0000 OJS 60 THE EFFECT OF RETURN PERIOD AND SEDIMENTATION ON THE CAPACITY OF RIVER DISCHARGE CAPACITY IN SAMARINDA CITY, EAST KALIMANTAN <p>Factors that affect flooding are due to the dense population that occupies the floodplain of the river, the city's drainage channel which has a relatively flat topography, the rapid development of housing in the floodplain area, the topography of the river in the upstream area has a steep slope so that if heavy rains and high erosion rates causes high peak flows resulting in flooding and erosion, siltation and reduction of river capacity can cause flooding caused by erosion of river beds and river banks due to the absence of vegetation cover, accumulation of sediment in the river sediment deposition causes elevation of the river bed and can reduce the capacity of river channels.Topography greatly influences flood inundation, the lower elevation of the area than the surrounding area often becomes an obstacle to the rate of surface runoff towards the river. Areas on the banks of the river are areas that are most prone to flooding in the event of a river overflow. Areas with a slope of &lt;8% are areas that are difficult to absorb water, such as residential areas with solid pavement, which are more prone to flooding.The aim of this research is to predict the carrying capacity of the river's discharge capacity and provide an overview of flood-prone areas. Design flood discharge, maximum flood discharge and actual river capacity in the KarangMumus sub-watershed return period (years) for the planned flood discharge (Q<sub>rcn</sub>) = 578.39m<sup>3</sup>/s, maximum flood discharge (Q<sub>mak</sub>) = 578.62 m<sup>3</sup>/s, actual river capacity Q = 404.62m<sup>3</sup>/s, recommended river capacity = 987.85m<sup>3</sup>/s. Less capacity = 173.77m<sup>3</sup>/s. So it is necessary to have a recommended river capacity of = 987.85 m<sup>3</sup>/s. Due to sedimentation of = 0.2198m<sup>3</sup>/s so that the maximum capacity of the river is =&nbsp; 988.0698m<sup>3</sup>/s.</p> Yayuk Sri Sundari ##submission.copyrightStatement## Thu, 22 Dec 2022 17:21:30 +0000 ANALYSIS OF OCCUPATIONAL SAFETY AND HEALTH RISK IN THE REHABILITATION OF BAPPEDA OFFICE BUILDING, TENGGARONG SUB-DISTRICT, KUTAI KARTANEGARA REGENCY <p>Construction activities have various risks, one of which is the risk of occupational safety and health (K3).In the Rehabilitation of the Bappeda Office Building, Tenggarong sub-district, Kutai Kartanegara Regency, this is a 4-storey construction work, requires a large workforce, involves heavy equipment, so it has a potential risk of work accident hazards.The research aims to identify OHS risks and measure the level of risk.Data collection techniques include observation, questionnaires, and literature study.The method used is a description of the OHS risk level calculation using the Pearson Product Moment and Matrix.The research results show that;(1) the results of identification of risk variables are 46 risk variables consisting of 28 valid risk variables and 18 invalid risk variables;and (2) 0 variables for very high and high risk levels, 3 variables classified as low risk, and 25 variables classified as very low risk.</p> Benny Mochtar, E.A, Achmad Jaya Adhi Nugraha, . Andriansyah ##submission.copyrightStatement## Sat, 24 Dec 2022 10:42:41 +0000