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Arwizet Karudin
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ijimce@ppj.unp.ac.id
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IJIMCE : International Journal of Innovation in Mechanical Construction and Energy
Published by Universitas Negeri Padang
ISSN : 30469112     EISSN : 30469104     DOI : https://doi.org/10.24036/ijimce
Core Subject : Science, Engineering,
Automotive Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
The journal scopes include (but not limited to) the followings: Innovations in Mechanical Energy Systems : Advanced technologies in energy conversion and power generation, Renewable energy sources and their integration into mechanical systems, Energy-efficient design and optimization in mechanical systems. Materials and Manufacturing Innovations : Novel materials for enhanced mechanical performance, Advanced manufacturing techniques and processes, Sandwich structures in energy absorbing applications, Additive manufacturing modalities (laser powder bed fusion, electron powder bed fusion, DED, material jetting, FDM) in energy absorbing applications, Sustainable and eco-friendly materials in mechanical engineering. Machine Construction and Design : Innovative designs and developments in mechanical components, Structural analysis and optimization of machine elements, Automation and control systems for efficient machine operation, Topology optimization and homogenization methods in aircraft structures to decrease energy usage. Thermal Systems and Heat Transfer : Innovative designs and developments in mechanical components, Structural analysis and optimization of machine elements, Automation and control systems for efficient machine operation, Additive heat exchanger applications. Renewable Energy Technologies in Mechanical Systems :Integration of solar and wind energy in mechanical applications, Development of efficient mechanical systems for harnessing renewable energy, Energy storage solutions for intermittent renewable sources. Material Strength and Durability : Research on material properties and their impact on mechanical strength, Durability analysis and improvement in mechanical components, Fracture mechanics and fatigue studies in mechanical materials. Construction and Maintenance of Mechanical Systems : Techniques and methodologies in machine construction, Maintenance strategies for prolonging the life of mechanical systems, Reliability engineering in mechanical system design. Smart Technologies in Mechanical Engineering : TIntegration of smart sensors and IoT in mechanical systems, Machine learning applications for predictive maintenance, Automation and robotics in mechanical engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 6 Documents
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Search results for , issue "Vol. 1 No. 1 (2024): IJIMCE : International Journal of Innovation in Mechanical Construction and Ene" : 6 Documents clear
Predictive Modeling For Low Alloy Steel Mechanical Properties: A Comparison Of Machine Learning Algorithms And Parameter Optimization Desmarita Leni; Lega Putri Utami; Ruzita Sumiati; Moh. Camim; Sharif Khan
IJIMCE : International Journal of Innovation in Mechanical Construction and Energy Vol. 1 No. 1 (2024): IJIMCE : International Journal of Innovation in Mechanical Construction and Ene
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ijimce.v1i1.7

Abstract

The development of machine learning in predicting the mechanical properties of alloy steel has become an important research subject in recent years. This is due to the ability of machine learning to extract complex patterns from large and intricate data, which can be used to understand the relationship between chemical composition, microstructure, and mechanical properties of alloy steel. This research aims to design a machine learning model to predict the mechanical properties of low alloy steel, such as Yield Strength (YS) and Ultimate Tensile Strength (UTS), based on the percentage composition of chemical elements in low alloy steel and the heat treatment applied. The machine learning model in this study consists of 10 input variables and 2 target variables. The research compares the performance of 3 machine learning algorithms, namely Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN). The research findings indicate that the ANN algorithm model performs best in predicting the mechanical properties of low alloy steel. This model has Mean Absolute Error (MAE) values of 16.5 and 19.593 for predicting YS and UTS, Root Mean Square Error (RMSE) values of 19.111 and 22.005, and coefficient of determination (R) values of 0.964 and 0.947 for YS and UTS respectively. The modeling uses the ANN algorithm with an 80% training data and 20% testing data split, and applies the K-Fold Cross Validation method with a value of K=5. The best parameters obtained are a learning rate of 0.001, momentum of 0.1, and a hidden layer neuron count of 9. These results indicate that ANN has great potential in addressing the complexity and variability in material data. The implications of these findings are that the implementation of ANN in manufacturing and material engineering industries can enhance the accuracy and efficiency in material strength prediction processes, which, in turn, can aid in designing and developing better and more durable products.
The Influence of External Cooling Load on the Distribution of Temperature and Humidity in Conditioned Spaces Arwizet Karudin; Jai Kumar Sharma; Desmarita Leni; Muhammad Rabiu Abbas; Adriansyah Adriansyah
IJIMCE : International Journal of Innovation in Mechanical Construction and Energy Vol. 1 No. 1 (2024): IJIMCE : International Journal of Innovation in Mechanical Construction and Ene
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ijimce.v1i1.8

Abstract

Air conditioning is not only important for the comfort of occupants in a building but also for various industrial processes. In the air conditioning process, a device called an Air Conditioner (AC) is required. The AC load can originate from inside the room and from outside the room. This study aims to determine the influence of increased cooling load from outside the room on the distribution of temperature and air humidity inside the conditioned room. The method used in this study involved conditioning four rooms. Two rooms of almost the same size were equipped with two AC units each, while the other two rooms used one AC unit each. Temperature and air humidity data inside the rooms were recorded every 20 minutes, as well as the outside air temperature. Dry bulb thermometer (Tdb) and wet bulb thermometer (Twb) were used to record temperature and humidity data, along with an environmeter. The research data were processed using available equations and with the assistance of a psychrometric chart. The research findings revealed that the average distribution of temperature and air humidity in the meeting room and office headroom of the Pertamina DP-LPG Office in Binjai was 20°C-23°C and 59%-65%. For the distribution office and sales service room of the Pertamina Fuel Filling Terminal in Kisaran, the distribution of temperature and air humidity was 25°C-29°C and 62%-66%. From the test results, it can be concluded that the distribution of temperature and air humidity is highly influenced by the capacity of the AC units and the cooling load entering the room.
Design And Construction Of Automatic Safety System Potato Stick Cutting Machine Aidil Zamri; Yuliarman Yuliarman; Zulhendri Zulhendri; Menhendri Menhendri; Nabilla Azzah Rosadi
IJIMCE : International Journal of Innovation in Mechanical Construction and Energy Vol. 1 No. 1 (2024): IJIMCE : International Journal of Innovation in Mechanical Construction and Ene
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ijimce.v1i1.9

Abstract

This research aims to develop a potato stick cutting machine with an automatic safety system, which is a crucial step in supporting the sustainable growth and development of the French fries industry. The methodology used includes a literature review, needs identification, conceptual design, machine fabrication, and testing. In determining the allowable tensile stress of the material, the value used is 120 N/mm², while for the torsional stress and bending stress of the shaft, the values are 96 N/mm² and 120 N/mm² respectively. Planning the pulley involves using a pulley with a diameter of 76.2 mm, while belt selection involves using a type A V-belt with a length of 48.50 inches. The shaft axis distance is also determined with a correction of 503 mm. Test results show that the machine is capable of achieving a production capacity of 84 kg/hour when equipped with an automatic safety system. This machine also facilitates further processing and opens opportunities for small and medium-sized enterprises (SMEs) to utilize it in potato stick production. This research contributes significantly to the development of the potato processing industry by providing a reliable and efficient solution for potato stick production. Thus, this study is crucial for advancing the overall French fries industry sector.
Design of a Rotary Table Hydroponic System for Agricultural Improvement in Limited Urban Land Predi Maulana Putra; Desmarita Leni; Muchlisinalahuddin Muchlisinalahuddin; Hendra Hendra; Yuda Perdana Kusuma
IJIMCE : International Journal of Innovation in Mechanical Construction and Energy Vol. 1 No. 1 (2024): IJIMCE : International Journal of Innovation in Mechanical Construction and Ene
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ijimce.v1i1.10

Abstract

This research focuses on the design of a rotary table hydroponic device for effective, efficient, and space-saving plant growth. With machine dimensions of 1570 x 600 x 2360 mm, a frame made of 2 mm thick 30 x 30 mm galvanized hollow steel, and a 1.5 HP electric motor, the machine is engineered to maximize land utilization in hydroponic methods. Stress analysis on the frame reveals maximum and minimum values of 3,631e+01 MPa and 2,064e-03 MPa, respectively, while the safety factor reaches 1,211e+05 and 6,886e+00, surpassing the safety factor range for static loads. The results of this experiment confirm the effectiveness and safety of the design, demonstrating that this rotary table hydroponic device can be optimally utilized in hydroponic plant cultivation.
Wear Analysis and Corrective Maintenance Worm Screw Press at PT. XYZ Muhammad Ihsan Hamdy; Rika Taslim; Nyvia Andhen Sury
IJIMCE : International Journal of Innovation in Mechanical Construction and Energy Vol. 1 No. 1 (2024): IJIMCE : International Journal of Innovation in Mechanical Construction and Ene
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ijimce.v1i1.18

Abstract

PT. XYZ is one of the palm oil processing companies located in the Riau area. The purpose of this study was to determine the right type of machine maintenance, especially for the worm screw press, because this part often experiences wear and tear which affects the results of pressing palm oil into oil. Wear and tear can partially reduce the surface of the machine and affect the performance of each machine. The service life of the worm screw press provided by the manufacturer is 1000 hours. However, usage at the Sebanga Multi Sawit factory reaches 1300-1500 hours. This proves that there is a need for further studies on good maintenance methods on screw press machines. The calculation of the wear rate and the depth of wear is used to determine the amount of wear that occurs. Solutions that can be done are welding, pack carburizing, and flame hardening on the worm screw press.
Influence of Holding Time and Quenching on the Hardness of Carbon Steel in Pack Carburizing Process with Mangrove Charcoal Media Gusrianti Gusrianti; Akmal Indra; Rahmat Fajrul
IJIMCE : International Journal of Innovation in Mechanical Construction and Energy Vol. 1 No. 1 (2024): IJIMCE : International Journal of Innovation in Mechanical Construction and Ene
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ijimce.v1i1.19

Abstract

The demand for metal materials in the industry is currently on the rise. However, existing metal materials often fail to meet the desired properties and characteristics. One such material is carbon steel, which is extensively utilized across various industrial sectors, particularly in small and medium-scale industries as a construction material. This study aims to investigate the impact of holding time and quenching variations on the pack carburizing process, as well as to determine the hardness value of carbon steel before and after undergoing pack carburizing. Experimental research was conducted using Rockwell hardness testing on 16 specimens, with 5 points tested on each specimen. The specimens were subjected to pack carburizing using mangrove wood charcoal at a temperature of 900°C, with holding time variations of 30 minutes, 60 minutes, 90 minutes, and 120 minutes. Different cooling media were utilized, including seawater, rainwater, well water, and mineral water. The results revealed that specimens treated with a holding time of 120 minutes and quenched with seawater exhibited the highest hardness of 83.94 HRA. Prior to the pack carburizing process, the hardness was 47.54 HRA, which increased to a range of 60.72 HRA to 83.94 HRA after the process.

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