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Rizal Mahmud
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Institut Teknologi Adhi Tama Surabaya Jl. Arief Rahman Hakim No. 100, Surabaya, East Java, Indonesia 60117
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INDONESIA
Journal of Mechanical Engineering, Science, and Innovation
Published by Institut Teknologi Adhi Tama Surabaya
ISSN : 2776933X     EISSN : 27763536     DOI : https://doi.org/10.31284/j.jmesi
Core Subject : Science, Engineering,
Control & Systems Engineering Energy Engineering Mechanical Engineering
Journal of Mechanical Engineering, Science, and Innovation (JMESI) is a peer-reviewed journal in English published two issues per year (in April and October). JMESI dedicated to publishing quality and innovative research in the field of mechanical engineering and science, thereby promoting applications to engineering problem. It encompasses the engineering of energy, mechanical, materials, and manufacturing, but it is not limited to scopes. Those are allowed to discuss on the following scope: Energy: Energy Conversion, Energy Conservation, Renewable Energy, Energy Technology, Energy Management. Mechanical: Applied Mechanics, Automobiles and Automotive Engineering, Tribology, Biomechanics, Dynamic and Vibration, Mechanical System Design, Mechatronics. Material: Material Science, Composite and Smart Material, Micro and Nano Engineering, Powder Metallurgy. Manufacturing: Advanced Manufacturing Techniques, Automation in Manufacturing, Modelling, and Optimization of Manufacturing Processes.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 83 Documents
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A Comparative Study of the Effect of Water Level on a Performance of a Hemispherical Acrylic Solar Distiller for Seawater Desalination Bambang Raharjo; La Ode Mohammad Firman
Journal of Mechanical Engineering, Science, and Innovation Vol 6, No 1 (2026): (April)
Publisher : Institut Teknologi Adhi Tama Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jmesi.2026.v6i1.8756

Abstract

Solar energy is considered one of the most promising renewable energy sources because it has the most reliable application potential in energy conservation. The main objective in this study is to compare the performance of two hemispherical solar still models, namely the Hemispherical Solar Still Black Paint (HSSBP) and the Hemispherical Solar Still Internal Reflective Mirror (HSSIRM). Enhancing solar distiller productivity and cost efficiency is profoundly influenced by its material design. Previous literature did not utilize more efficient materials in the solar distiller. The method of the current article utilizes relatively efficient materials for the cover of the solar distiller, which is made of acrylic with a thickness of 2 mm. The cylindrical seawater basin is made of iron with a diameter of 40 cm. This comprehensive study aims to increase the clean water production of the solar distiller by using an experimental setup use water levels different starting from 1cm, 2cm, and 3cm. The experimental results revealed that the seawater basin with a depth of 3 cm in section III achieved the highest cumulative productivity. Freshwater produced from model HSSBP in section III is 955 mL/m², compared to the productivity of 1 cm and 2 cm, which yielded 557 mL/m² and 875 mL/m². Then model HSSIRM can only produce 557 mL/m². The conclusion is productivity of the HSSBP model is better than that of the HSSIRM model.
Comparison of Manual, AI Generative, and Hybrid Design on Structural Performance and Manufacturing Aspects of Truck Wheel Mounting Aid Frame using FEA in Fusion 360 Muhammad Najmul Aulia; Dony Satriyo Nugroho
Journal of Mechanical Engineering, Science, and Innovation Vol 6, No 1 (2026): (April)
Publisher : Institut Teknologi Adhi Tama Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jmesi.2026.v6i1.8749

Abstract

This study compares the structural performance of a truck wheel installation assist frame designed using three approaches: manual design, generative AI design, and hybrid design. The analysis was carried out using Finite Element Analysis (FEA) in Autodesk Fusion 360 with Stainless Steel AISI 304 as the material and a static load of 2,500 N. Performance evaluation was based on von Mises stress, total deformation, and safety factor relative to the material’s yield strength. The simulation results show that the manual design produces a maximum stress of 106.581 MPa, a deformation of 2.557 mm, and a safety factor of 2.017. The generative AI design shows a maximum stress of 1,818.205 MPa, a deformation of 65.634 mm, and a safety factor of 0.118, indicating structural failure. Meanwhile, the hybrid design demonstrates the best performance with a maximum stress of 101.904 MPa, a deformation of 1.664 mm, and a safety factor of 2.11. Therefore, the hybrid design is considered the most suitable option, as it achieves a balance between mass efficiency, structural stiffness, and manufacturability for practical workshop applications. 
Cover and Editorial Page Ahmad Anas Arifin
Journal of Mechanical Engineering, Science, and Innovation Vol 6, No 1 (2026): (April)
Publisher : Institut Teknologi Adhi Tama Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jmesi.2026.v6i1.9035

Abstract

Page 9 of 9 | Total Record : 83

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