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All Journal AUSTENIT Rekayasa Mesin Enthalpy : Jurnal Ilmiah Mahasiswa Teknik Mesin Sawala : Jurnal pengabdian Masyarakat Pembangunan Sosial, Desa dan Masyarakat Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Hamzah, Fais
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Religion Arts Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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CAD-BASED 3D PRINTING EDUCATION TO ENHANCE THE COMPETENCE OF VOCATIONAL STUDENTS OF SMK BABAT LAMONGAN Juniani, Anda Iviana; Wibisono, Fipka; Kurniawan, Bayu W.; Indrawan, Rizal; Hamzah, Fais; Sidi, Pranowo; Purnomo, Dhika A.; Rachman, Farizi; Ardliana, Thina
Sawala : Jurnal pengabdian Masyarakat Pembangunan Sosial, Desa dan Masyarakat Vol 5, No 1 (2024): Sawala : Jurnal pengabdian Masyarakat Pembangunan Sosial, Desa dan Masyarakat
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/sawala.v5i1.51152

Abstract

Printing in three dimensions is becoming increasingly vital for vocational students. Incorporating 3D printing into vocational training courses and educational programs provides students with numerous benefits and prepares them for technical professions in various industries. This article aims to develop 3D printing training that is CAD-based for SMK Babat Lamongan. Students can experience real-world models of complex mathematical equations, graphs, and arrangements through 3D printing. It enables students with difficulty visualizing these concepts to comprehend them more readily. By learning 3D printing now, vocational students are preparing for the changing job market and global economy of the twenty-first century. This article shows that skills in 3D printing are precious for vocational students. They provide students with hands-on experience, foster creativity, and prepare them for technical vocations. Incorporating 3D printing into vocational education programs can give students the necessary skills for the future workforce.
Design of Bearing Housing JIG and Fixture for Machining Process in Vertical CNC Turning Machine Indrawan, Rizal; Uhaque, Salsabila Diya; Purnomo, Dhika Aditya; Hamzah, Fais; Karuniawan, Bayu Wiro
Enthalpy : Jurnal Ilmiah Mahasiswa Teknik Mesin Vol 9, No 3 (2024): Enthalpy: Jurnal Ilmiah Mahasiswa Teknik Mesin
Publisher : Teknik Mesin Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/enthalpy.v9i3.49007

Abstract

Bearing housing merupakan salah satu produk yang diproduksi di PT. X, yang memiliki target produksi sebesar 150 pcs/bulan. PT. X adalah salah satu perusahaan manufaktur terbesar di indonesia yang bergerak di bidang pengecoran pengecoran investasi dan permesinan canggih. Proses pembubutan untuk rumah bearing memiliki beberapa kelemahan, yaitu membutuhkan lebih banyak mesin bubut CNC untuk memproses setiap bagian rumah bearing. Hal ini menyebabkan proses bongkar muat yang memakan waktu. Selain itu, ada kelemahan lain yang menyebabkan diameter yang tidak konsentris yang akan dianggap sebagai produk yang tidak baik atau ditolak. Mesin ini menggunakan fixture dan penjepit sebagai penghenti untuk membantu dalam pemrosesan produk pengecoran secara massal. Untuk membantu proses finishing produksi rumah bearing dengan cepat, maka dibuatlah alat bantu seperti jig dan fixture, sehingga dapat mempercepat proses pengerjaan produk dan mengurangi waktu pengerjaan. Desain jig dan fixture bearing housing menggunakan Autodesk Fusion 360. Penelitian ini menggunakan metode Ulrich untuk membantu proses perancangan dan pengembangan produk dengan membandingkan 3 konsep yang berbeda. ketiga konsep tersebut dipilih karena sesuai dengan kebutuhan biaya yang murah, perawatan yang mudah, pengoperasian yang mudah, dan produksi yang mudah. Kata kunci: Jig, Fixture, Jig dan Fixture, Bearing Housing, CNC Bubut Vertikal, Bubut, Metode Ulrich
ANALISIS PARAMETER MESIN LASER TUBE CUTTING TERHADAP SURFACE ROUGHNESS PADA SQUARE PIPE ST 37 MENGGUNAKAN TAGUCHI METHOD Rachman, Farizi; Wardani, Lintang Aditya; Sidi, Pranoto; Setiawan, Tri Andi; Hamzah, Fais; Maulana, Danis
AUSTENIT Vol. 16 No. 2 (2024): AUSTENIT: October 2024
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/austenit.v16i2.9160

Abstract

Parameter optimization is a technique used in the manufacturing process to create products with optimal quality. The research aims to find the optimal settings in the laser tube cutting machine so that the surface of the square pipe ST 37 becomes smoother and flatter. The settings to be changed are laser focal point, gas pressure, nozzle distance and laser power. This research uses Taguchi method with L9 (34) orthogonal matrix to analyze the experimental results. With each parameter having 3 levels according to the orthogonal matrix, the experiment was conducted 9 times with 3 replications to make the results more valid. In the research results obtained the most optimal combination of parameters on the laser tube cutting machine on the response of the cutting rate is with a combination of focus point parameters at level 1 of 0 mm, gas pressure at level 1 of 0.6 bar, and laser power parameters at level 1 of 1800 W.  
Optimasi Parameter Operasional Mini Pembangkit Listrik Tenaga Angin Berbasis Machine Learning untuk Meningkatkan Output Daya Parman, Parman; Hamzah, Fais; Basya Shahrys Tsany, Rahmat; Brian, Thomas; Nizar Zulfika, Dicki
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7578

Abstract

The utilization of renewable energy is experiencing significant growth, with wind turbines emerging as a key solution for generating environmentally friendly electricity. However, the efficiency of wind turbines is highly dependent on their operational parameters, such as wind speed, blade size, angular velocity, and torque. This research aims to optimize the operational parameters of small-scale wind turbines using an XGBoost-based Machine Learning model and an L-BFGS-B algorithm-based optimization method. A simulation dataset was generated based on the physical equations of wind turbine power and a MATLAB Simulink model, incorporating added noise to approximate real-world conditions. The XGBoost model was trained to predict the turbine's output power based on its operational parameters. Subsequently, an optimization method was employed to identify the parameter combination that yields maximum power. The experimental results demonstrate that the model exhibits strong performance, characterized by a low Mean Squared Error (MSE) and a high R-squared score. The optimization process successfully achieved a significant increase in power output compared to the initial configuration. Through this approach, wind turbine systems can operate more efficiently and generate optimal electrical power. This study contributes to the advancement of artificial intelligence-based optimization strategies for renewable energy systems.
LOAD ANALYSIS ON VERTICAL LIFTING OVERHEAD CONVEYOR STRUCTURES Hakam, Muhamad; Wahidah, Hera Zulvi Fahriyatul; Hamzah, Fais
Jurnal Rekayasa Mesin Vol. 16 No. 2 (2025)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Overhead conveyors are designed to facilitate the transfer of material from one location to another. One aspect that needs to be planned is the vertical lifting structure, which is the initial loading process the material is attached to the trolley at a higher level of overhead conveyor. By design this tool can facilitate material loading work, as it reduces the possibility of product damage, reduces risk of worker exhaustion and smoothest the production flow. Loading analysis is carried out using FEM-based software to determine the strength of structures on design concepts. Structural strength analysis recorded minimum safety factor is 3,928 at the end of the hoist profile, a maximum von misses stress value of 63,188 MPa at the target frame point of the long profile hoist and a limits displacement value of 0,238 mm on the loading rail. The results of the structural buckling analysis with a limit of 1 load on the design concept were 350,589 times the load.
Co-Authors Anda Iviana Juniani Brian, Thomas Dhika Aditya Purnomo Farizi Rachman Fipka Bisono Hakam, Muhamad Karuniawan, Bayu Wiro Kurniawan, Bayu W. Nizar Zulfika, Dicki parman parman Pranowo Sidi Purnomo, Dhika A. Rizal Indrawan Sidi, Pranoto Thina Ardliana, Thina Tri Andi Setiawan Tsany, Rahmat Basya Shahrys Uhaque, Salsabila Diya Wahidah, Hera Zulvi Fahriyatul Wardani, Lintang Aditya