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STUDI PENYEDIAAN AIR BERSIH DI DESA SULAMU MENGGUNAKAN TEKNOLOGI PHOTOVOLTAIC- SEA WATER REVERSE OSMOSIS Arbye S; Achmad Aziizudin; Agung Purnomo; Cahyo Wibi Yogiswara; Dimas Ardiansyah Halim; Setya Drana Harry Putra
Scientific Journal of Mechanical Engineering Kinematika Vol 9 No 2 (2024): SJME Kinematika Desember 2024
Publisher : Mechanical Engineering Department, Faculty of Engineering, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/sjmekinematika.v9i2.520

Abstract

The scarcity of clean water is predicted to become a serious threat for Indonesia in the future, particularly in regions with low rainfall, and coastal regions with limited freshwater resources. This study examined clean water provision using seawater desalination technology in Sulamu Village, Kupang, East Nusa Tenggara, projected until 2032. The technology used was seawater desalination powered by Photovoltaic (PV) systems, which drive the Sea Water Reverse Osmosis (SWRO) process. This technology was proposed as a sustainable solution to meet the clean water needs of the region. The research included an analysis of water demand, adjusted for projected population growth, and an estimation of energy consumption from the PV-SWRO system. A geometric method was applied to project the population up to 2032, estimating approximately 8.210 residents. Based on this projection, the clean water demand was expected to reach 215.769 m³ per year, with energy consumption estimated between 496 and 1.554 MWh per year. Given the abundant solar energy potential in Sulamu Village, this technology is anticipated to provide a stable and environmentally friendly supply of clean water. The estimated data on water and energy needs is intended to serve as a reference for stakeholders in developing strategies that support the sustainability of renewable energy-based desalination programs in the future.
ANALISIS NILAI KEKERASAN DAN STRUKTUR MIKRO PADA PENGECORAN LIMBAH PISTON BEKAS DENGAN PENAMBAHAN MATERIAL SILIKON KARBIDA (SiC) Achmad Aziizudin; Agung Purnomo; Arbye S; Cahyo Wibi Yogiswara; Dimas Ardiansyah Halim; Setya Drana Harry Putra
Scientific Journal of Mechanical Engineering Kinematika Vol 10 No 1 (2025): SJME Kinematika Juni 2025
Publisher : Mechanical Engineering Department, Faculty of Engineering, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/sjmekinematika.v10i1.646

Abstract

Piston is one of the most crucial components of an engine. The primary raw material used in piston manufacturing is aluminum alloy, with silicon being the dominant element in the composition. As aluminum metal is increasingly used in modern times, its price has risen, leading to higher costs for piston components, given that aluminum is the main raw material for pistons. To address this issue, a method is needed to minimize the use of aluminum in piston manufacturing, which can be achieved by recycling used pistons and incorporating other materials, such as silicon carbide (SiC). The addition of silicon carbide (SiC) was varied at 15%, 20%, and 25%. Hardness testing results showed that the higher the SiC content, the greater the hardness value obtained. As the hardness value increases, the wear resistance of the material improves. Based on this study, the addition of 15% SiC is optimum to achieve performance equivalent to that of a new piston of brand X.
Data-Driven Analysis of Machining Parameters Affecting Surface Roughness (Ra) in CNC Turning of Al6061 Using OLS Method Dimas Ardiansyah Halim; Arbey, S; Rio Evandi; Tosa Susilo; Joko Suparno
Jurnal Vokasi Mekanika (VoMek) Vol 8 No 2 (2026): Jurnal Vokasi Mekanika
Publisher : Unversitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/e9fjmj14

Abstract

This study aims to analyze the effect of machining parameters on surface roughness (Ra) in the CNC turning process of Aluminum 6061 using the Ordinary Least Squares (OLS) approach. The investigated parameters include cutting speed (v), feed rate (f), nose radius (r), and spindle speed (n). The experimental design was developed using a Central Composite Design (CCD) with five coded levels (+2, +1, 0, ?1, ?2). The machining process was carried out on a CNC GSK 980TDi lathe using CCMT inserts with nose radii of 0.2 mm, 0.4 mm, and 0.8 mm, while the surface roughness was measured using a Mahr Marsurf M300 tester with an accuracy of 0.076 µm. Experimental data were analyzed using the OLS method to determine the most dominant parameters affecting Ra. The results show a coefficient of determination (R²) of 0.932 and an adjusted R² of 0.868, indicating that the regression model provides an excellent level of fit. The nose radius (r) and spindle speed (n) were found to be the most significant factors influencing surface roughness, exhibiting opposite effects. This data-driven approach demonstrates the effectiveness of the OLS method in identifying critical machining parameters in CNC turning processes.