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Jurnal Engine: Energi, Manufaktur, dan Material
Published by Universitas Proklamasi 45 Yogyakarta
ISSN : 25797433     EISSN : 25797433     DOI : http://dx.doi.org/10.30588/jeemm
Core Subject : Science, Engineering,
Control & Systems Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
Jurnal Engine: Energi, Manufaktur, dan Material is registered with ISSN 2579-7433 (online) on The Indonesian Institute of Sciences (LIPI). This journal is under publishment of the Mechanical Engineering Department, Universitas Proklamasi 45 Yogyakarta. It is a scientific journal focusing on Energy, Manufacturing, Material, Mechanical, and Software Simulation. It provides a publishing platform for scientists and academicians to share, publish, and discuss all aspects of the latest outstanding development in the field of Mechanical Engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 140 Documents
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Pengujian Kekuatan Retak Komposit Arang Tempurung yang Dihaluskan Sebagai Bahan Baku Penganti Kayu untuk Kapal Nelayan Nusyirwan, Nusyirwan; Rani, Mutya
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 1 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i1.1633

Abstract

Coconut shell charcoal is a by-product waste from coconut farming which is very abundant and its use has not been optimally applied other than being limited to burning it for boiler energy as a heater and other parts of it being used as a fuel source for cooking. As raw materials for making wooden boats for fishermen in Indonesia become increasingly scarce, efforts are needed to find replacement materials in the supply process. However, another very urgent factor is that it is absolutely necessary to develop environmentally friendly composites to replace synthetic composites which are difficult to decompose. However, composite materials made from natural fibers still have many weaknesses, including low mechanical strength, therefore applications in the engineering field are still under study and development. Some of the weaknesses of natural fiber composite materials, which need to be studied, include their brittle nature and easy cracking. One of the things carried out in this research is a synthetic material derived from unsaturated polyester reinforced with natural fibers from coconut shell charcoal particles which is used to reduce the percentage of synthetic material from polyester which can form a composite that is easily decomposed. From the research, the mechanical strength obtained with a polyester mixture matrix reinforced with coconut shell charcoal fibers obtained crack resistance values with a large critical stress intensity factor based on ASTM D 5405 by varying the composition of the shell charcoal fiber mixture from: 0%, 10%, 20%, to 30%. From the test results, the largest critical stress intensity factor at K_1c= 1.624 (MPa/m1/2) occurred in 20% coconut shell charcoal fiber.
Evaluasi Pemodelan Augmentasi Data Sifat Mekanik Aluminium Menggunakan Generative Adversarial Networks Leni, Desmarita; Berli, Ade Usra; Kesuma, Dytchia Septi; Haris, Haris; Sumiati, Ruzita
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 1 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i1.1645

Abstract

Materials informatics is a new approach in material science that integrates information technology and material science to optimize the discovery of new materials more efficiently and innovatively. In materials informatics, experimental and simulation data are combined with data-driven methods such as big data, data augmentation, and machine learning to gain a deeper understanding of material properties. However, limitations in the availability of samples with desired characteristics and the lack of accurate experimental data pose challenges in materials informatics. In this study, we attempt to address these challenges by modeling the augmentation of mechanical properties of aluminum using Generative Adversarial Networks (GAN). GAN is used to generate synthetic data of aluminum's mechanical properties that closely resemble experimental data. This modeling is trained using experimental testing data consisting of aluminum's mechanical properties and chemical elements in the alloy, obtained from the material database. The dataset comprises 9 chemical element variables in the aluminum alloy and 2 mechanical property variables. The synthetic data generated from the modeling is evaluated using descriptive statistics, Pearson correlation, and Kolmogorov-Smirnov (KS) test to assess the extent to which the synthetic data resembles the original data. The evaluation results indicate that the distribution of synthetic data is similar to the original data. The Pearson correlation results show that most variables of chemical elements and mechanical properties of aluminum in the synthetic data have a correlation that is quite similar to the original data. The KS test results also indicate that the distribution of synthetic data does not significantly differ from the distribution of the original data. This indicates that the synthetic data generated has a high resemblance to the experimental data, enabling its use in materials informatics research. Thus, modeling the augmentation of aluminum's mechanical property data using GAN provides a significant contribution to expanding data availability in material science.
Revolutionizing Agriculture: Electric Tractors for Indonesian Sustainable Farming Krisnaputra, Radhian; Aisyah, Nyayu; Hakim, Sinta Uri El; Pratiwi, Ilham Ayu Putri; Bahari, Galuh; Bahiuddin, Irfan; Sugiyanto, Sugiyanto; Hendaryanto, Ignatius Aris; Wicaksono, Dimas Aryo; Setyawan, Pendi
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 1 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i1.1652

Abstract

The global shift towards electrification has extended its reach to non-road mobile machinery, with a primary focus on agricultural applications. This growing trend reflects the larger shift towards sustainability and the minimization of environmental effects. Electric tractors and other farm machinery have gained popularity due to their environmental benefits, cost savings, and technological advancements. The electric non-road vehicles are not only quieter and more environmentally friendly but also offer the potential for reduced operational costs, making them a compelling choice for farmers looking to modernise their equipment while adhering to stringent environmental regulations. Thus, the concept of an electric tractor becomes an important topic to be discussed. This paper will discuss the development of tractors in Indonesia and proposed design for electric tractors that are suitable for Indonesia to support sustainable farming.
Pengaturan Kecepatan Spindle Mesin Bubut Retrofit Menggunakan VSD (Variable Speed Drive) Ismail, Andhi Akhmad; Hendaryanto, I. Aris
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 1 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i1.1672

Abstract

Retrofitted milling machines are usually not equipped with a gear box to control spindle rotation, so they will experience difficulties if varied spindle shaft rotation is desired. The commonly used way to adjust the rotation of the spindle shaft so that it can vary is by adjusting the rotation of the spindle drive induction motor using a Variable Speed Drive (VSD). The research started by removing the old single phase induction motor and replacing it with a three phase induction motor, then creating a control circuit so that the VSD could work automatically with commands from the breakout board. The rotation adjustment is carried out using a potentiometer installed on the VSD. Spindle shaft rotation is detected using a pulse meter which gets a signal from an inductive proximity sensor and is installed on the spindle shaft. Experiments during the research showed that the spindle rotation could be adjusted using VSD properly, starting from a speed of 0 rpm to 2000 rpm. The spindle experiences a decrease in speed when subjected to a load, most likely due to slippage that occurs from the drive pulley which is rotated by the drive induction motor to the spindle pulley because it uses a belt transmission.
Analisis Kadar Air dan Laju Pengeringan Bahan Baku Pembuatan Bubur Pedas Instan Suhendra, Suhendra; Nopriandy, Feby; Perdana, Daud; Maryam, Andi
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 1 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i1.1676

Abstract

Bubur pedas is a traditional food from Sambas Regency which is very popular in West Kalimantan. The development of bubur pedas was carried out by making instant bubur pedas so that this food can be enjoyed anytime and anywhere. The main problem found in the production process is in the drying process of raw materials. Based on these problems, it is necessary to develop a drying system to help the instant bubur pedas production process. Through this research, a performance test of a rotary drum type dryer was carried out to analyze the water content and drying rate of instant bubur pedas raw materials. The raw materials for dried instant bubur pedas are katuk leaves, singkil leaves and fern leaves. The rotary drum type dryer is operated at a rotational speed of 14.5 rpm. The drying process takes 2 hours with data collection every 20 minutes. Based on the measurement results, the initial water content of katuk leaves was 76.66%, singkil leaves were 72.72% and fern leaves were 88.06%. After drying for 2 hours, the water content of katuk leaves dropped to 38.40%, singkil leaves 43.91%, and fern leaves 64.64%. The material that experienced the highest decrease in water content was katuk leaves at 38.26%, followed by singkil leaves at 28.81% and fern leaves at 23.42%. The average drying rate for instant bubur pedas raw materials was fern leaves 0.1213 grams/second, katuk leaves 0.0613 grams/second and singkil leaves 0.0314 grams/second.
Pembuatan dan Analisa Performa Tekanan dan RPM Pada Komponen Swing Hidrolik Di Alat Peraga Mini Excavator Aji, Angga Prasetio; Prayoga, Benidiktus Tulung; Winarto, Felixtianus Eko Wismo; Prihadianto, Braam Delfian; Bahari, Galuh
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 1 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i1.1683

Abstract

The Vocational School Education is a university-level higher education program that places greater emphasis on practical fieldwork relevant to industry needs rather than academic theoretical knowledge. In Indonesia, vocational school programs or diplomas play a crucial role in the development and scientific research. The creation of a mini excavator model is a research and innovation project aimed at supporting students' practical training activities. The development of hydraulic swing components is used to enhance the components of the mini excavator model, which will later be expanded for educational purposes in the hydraulic drive system. The ultimate goal of this research is to manufacture hydraulic swing components that will be installed in the mini excavator model, with the final objective being to determine the pressure and rpm performance of these hydraulic swing components. Based on the conducted research, operating the mini excavator model requires a radius dimension or distance from the center point to the warning line of 3 m², and the maximum pressure for the mini excavator model is 150 kgf/cm², resulting in 11.17 rpm. Meanwhile, the allowable pressure for operating the hydraulic swing components in the mini excavator model is 100 kgf/cm², resulting in 8.54.
Perancangan dan Analisis Rangka Body Mobil Listrik Kompetisi Fakultas Vokasi “aurora" Nurcahyo, Yusuf Eko; Wisnu, Wisnu Yulianto Nugroho
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 2 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i2.1697

Abstract

The surge in demand for electric vehicles, including electric racing cars, has marked a significant pivot towards sustainable transportation, driven by the global imperative to reduce greenhouse gas emissions and urban air pollution. This study focuses on the structural design of a Formula Automotive Engineering (FAE) vehicle frame, which plays a crucial role in vehicle performance aspects like maneuverability, stability, and safety. With the objective of designing an efficient, lightweight, yet robust frame, this research utilizes Ansys, a leading finite element analysis software, to simulate structural static behavior and validate the frame design without the need for costly and time-consuming physical prototypes. Various simulations, including Torsion Test, Cornering Test, Aero+Cornering Test, and Frontal Impact Test, were conducted to assess the frame's response to different operational stress conditions. The results indicate that the frame withstands the imposed stresses while maintaining the necessary balance between strength and flexibility required for high-speed maneuvers and safety. This study concludes that, with advancements in engineering software, the iterative design process of electric vehicle frames can be significantly optimized, contributing to the development of competitive yet sustainable automotive technologies. Keywords: Electric Vehicles, Structural Design, Finite Element Analysis, Ansys, Stress Simulation, Sustainable Transportation
Perancangan Terowongan Angin Rangkaian Terbuka Dengan Sistem Piv (Particle Image Velocimetry) rendi, rendi; Firman, Muhammad; Hartadi, Budi; Arifin, Jainal; Irfansyah, Muhammad
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 1 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i1.1781

Abstract

This research aims to design an open circuit wind tunnel with a piv (particle image velocimetry) system. This particle image velocimetry system was chosen because this system has the advantage of being easy to make and the equipment used is not too complicated. The method used in this design is a mathematical calculation method with. This tunnel is designed to have dimensions of 8 meters long, 1.75 meters wide and 1.75 meters high. With a maximum planned wind speed of 30 m/s. The design results state that the head loss in the test section is 1.28 m, in the contraction chamber is 0.52 m and the head loss in the diffuser is 0.49 m so the total head is 2.29 m so a pump power of 11.94 hp is needed to be able to simulate a maximum wind flow of 30 m. /s
Studi Pengaruh Temperatur Aging terhadap Kekerasan Vickers, Ketahanan Impak, dan Korosi pada Aluminium Paduan Wartono, Wartono; Rakhadani, Ihrom; Sumpena, Sumpena
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 1 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i1.1794

Abstract

Aluminum is a chemical element with the symbol Al with atomic number 13. Aluminum belongs to the light types of metals. Its electrical conductivity is 60% more than that of copper, so it is also used for electrical appliances. Aluminum is a reactive metal, so it is easily oxidized with oxygen. Aluminum is lightweight, strong, rust-resistant and malleable, aluminum is also utilized in many ways, such as materials for making fuselages, used in high-voltage cables and much more. This study aims to find out how temperature aging affects vickers hardness, impact toughness and corrosion in aluminum alloys. The aluminum used is 6000 series aluminum and is cut into workpieces according to ASTM standards. The applied method is by heat treatment precipitation hardening or age hardening. From the results of microstructure photo testing, it was found that the higher the aging temperature, the more amount of precipitation is formed and the distribution of precipitation is more even. However, when the heat treatment solution is performed, the precipitation decreases because at the same time the atomic void in thermal equilibrium at high temperature remains in place or a precipitate or so-called super saturated solute solution occurs. In hardness testing, the hardness continues to increase as the aging temperature increases and the maximum hardness is found at a temperature of 200oC with an average value of 86.6 kg/mm2. Meanwhile, the impact strength decreases with the increase in aging temperature and the highest impact strength at 120o C with a value of 0.619 j/mm2. In the corrosion test, as the temperature of aging increases, the aluminum is more resistant to corrosion the maximum value is obtained at 0.00251 mill/year at a temperature of 200o C.
Aplikasi Machine Learning untuk Mendeteksi Kematangan Tomat menggunakan Metode Backpropagation Gustina, Sapriani
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 1 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i1.1815

Abstract

The rapid development of artificial intelligence has now been widely used in various industrial fields, with various benefits that make it easier, speed up work processes, automate and be efficient in resources to improve cyber security and can be implemented easily and of course will continue to be developed further, such as In the agricultural industry, artificial intelligence can be used to identify certain types of fruit or plant leaves and their level of maturity. This research will create a machine learning application to identify the level of ripeness of tomatoes with 3 types of tomatoes, old tomatoes, young tomatoes and rotten tomatoes. From each type of tomato there are 50 object images in the form of images in .jpg format, of which 15 object images are used as training data and 35 images as test data to detect tomato images using the Backpropagation method which will utilize image feature extraction in the form of RGB colors. The results obtained from testing images of young, old and rotten tomatoes obtained an accuracy rate of 83%.

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