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All Journal Jurnal Qua Teknika Asian Journal Science and Engineering
Suhudi
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

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ANALISIS PENENTUAN DEBIT BANJIR RANCANGAN DENGAN METODE HSS SNYDER DAN HSS SCS-CN UNTUK BANGUNAN PENGENDALI BANJIR DI SUNGAI SEMBAKUNG suhudi
Jurnal Qua Teknika Vol 14 No 02 (2024): September 2024
Publisher : Universitas Islam Balitar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/quateknika.v14i02.3946

Abstract

DAS Sungai Sembakung mempunyai luas aliran sungai 1.260 km2 dan panjang sungai primer 134 km, terletak di Desa Labang, Kecamatan Lumbis Pansiangan, Kabupaten Nunukan, Provinsi Kalimantan Utara. Salah satu lokasi rawan banjir di Kabupaten Nunukan adalah Sungai Sembakung. Di Kabupaten Sembakung, bencana banjir hampir selalu terjadi setiap tahunnya. kondisi geografis, dan kemungkinan terjadinya erosi tepian sungai menjadi beberapa faktor penyebab terjadinya banjir di Sungai Sembakung. Mendapatkan Hidrograf Satuan Sintetis yang cocok untuk struktur pengendalian banjir di Sungai Sembakung adalah tujuan dari proyek ini. memanfaatkan data curah hujan selama 15 tahun dari Stasiun Mansyalong yaitu pada tahun 2007 hingga tahun 2021. Prediksi curah hujan adalah
Occupational Safety, Health, and Awareness as Determinants of Productivity: A PLS-SEM Study of Construction Workers in Malang Fifi Damayanti; Suhudi; Sigit Febrianto, Redi
Asian Journal Science and Engineering Vol. 4 No. 1 (2025): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v4i1.1855

Abstract

This study investigates the influence of Occupational Safety and Health (OSH) practices—comprising Occupational Safety, Occupational Health, and OSH Awareness—on worker productivity within construction projects in Malang, Indonesia. Using a quantitative approach with survey data from 63 construction workers and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM), the findings reveal that all three OSH components have a significant and positive impact on productivity. Occupational Health emerged as the strongest predictor (β = 0.377), followed by Occupational Safety (β = 0.350) and OSH Awareness (β = 0.312). Collectively, these variables explain 81% of the variance in worker productivity (R² = 0.810), underscoring the central role of OSH implementation in project performance. The study highlights that tangible investments in worker health and safety are not only ethical imperatives but also strategic drivers of efficiency. It concludes by recommending that construction managers treat OSH not as a regulatory formality, but as a critical asset for enhancing workforce output.
Co-Authors Fifi Damayanti Redi Sigit Febrianto