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Irza Sukmana
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Journal of Applied Science, Engineering and Technology (J. ASET)
Published by INSTEP Publishing
ISSN : 27228371     EISSN : 27228363     DOI : https://doi.org/10.47355/aset
Core Subject : Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering
J.ASET is published by INSTEP Publishing Indonesia and it focuses on all subjects in engineering, applied sciences, and vocational studies, they are including but not limited to: Mechanical and Manufacturing Industrial Engineering Chemical and Environmental Engineering Computer and Information Technology Electrical and Telecommunication Material and Mining Civil Engineering Architecture and Urban Planning Geophysics and Geodetic Engineering Vocational Engineering Studies Mathematics and Applied Sciences Medical Science and Biomedical Engineering Agricultural Engineering and Technology Interdisciplinary research
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 2 (2023): December 2023" : 5 Documents clear
EVALUATION OF SWELLING-SHRINKAGE IN LIME STABILIZED SOIL DUE TO THE ADDITION OF MATOS STABILIZER Novi Suprianti
Journal of Applied Science, Engineering and Technology Vol. 3 No. 2 (2023): December 2023
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v3i2.48

Abstract

Bad soil properties such as high plasticity index values, high potential for swelling and shrinkage, and low shear strength are the problems encountered. To find out the swelling and shrinkage value of the soil, 2 stages of testing were carried out, namely testing the physical and mechanical properties of the soil and stabilizing it with additives in the form of 4% lime and 2%, 4% and 8% Matos soil stabilizer. The results of research on Capkala soil with a specific gravity value of 2.568, a liquid limit value of 51.444%, a plastic limit value of 29.507%, and an IP value of 21.937%. Then, based on sieving analysis, it shows that according to the AASHTO classification, Capkala soil is included in A-7-6, namely clay soil, while according to the USCS classification, it is included in the MH group, namely inorganic silt or fine sand, and according to the USDA classification, it includes silty clay. From the results of the disturbed soil swelling pressure test of 2.427 Kg/cm2 and included in the swelling potential low, while the 40% bentonite mixture obtained a swelling pressure result of 4.133 Kg/cm2 which was included in the swelling potential high. Meanwhile, the effect of adding Matos soil stabilizer to disturbed soil modified with 40% bentonite and Matos in the swelling pressure test resulted in the soil being included in the swelling potential medium. From the results of the disturbed soil FSI a value of 26.667% was obtained which has a moderate degree of development category. The effect of adding 40% bentonite to disturbed soil resulted in an increase of 45.455% in the category of high degree of development. Meanwhile, the effect of adding Matos soil stabilizer to disturbed soil modified with 40% bentonite in the free swelling index test included in the category of moderate degree of development.
Analysis of Mutual Interaction Effect of Six-Individual Characteristic Factors of Safe Weight Lift Model Muyiwa, Omotunde; Akanbi, Olusegun
Journal of Applied Science, Engineering and Technology Vol. 3 No. 2 (2023): December 2023
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v3i2.53

Abstract

An ergonomic mathematical model to compute Safe Weight Lift (SWL) was formed with principle of strain energy to limit risk of low back pain amid construction employees in Nigeria. However, mutual interaction effect of the selected factors were not yet studied. Therefore, analysis of mutual interaction effect of compounded chosen male distinctive factors of biomechanical of body weight, spinal shrinkage, and spine length, with physiological of age, and gender also, psychophysical of surrounding temperature and lift frequency were done. The factors data were gotten using ZT-160 scale, tailor-tape rule, fly-back timing and RH/Temperature pen from fifty masculine manual construction workers selected using purposive sampling technique. The data were inputted into Ms Excel and SPSS for analyses using Multiple Linear Regression (MLR), Regression Curve Estimate (RCE), and ANOVA at alpha level 0.05. The MLR investigation shown that mutual interactions of the compounded factors were significant (p=0.00) and gave R2=0.94, while RCE predicted quadratic relationship with the SWL (p=0.00), and the ANOVA revealed that factors were significant (p=0.00) with F-test=404.53. The mutual interactions of the model selected factors were significant. Therefore, it can be used as a tool for decision-making for safety management of male labourers involve in manual load handling.
Three Wheeled Vehicle Dynamics : Static Stability Factor Improvement LAMHALLI, AYOUB
Journal of Applied Science, Engineering and Technology Vol. 3 No. 2 (2023): December 2023
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v3i2.60

Abstract

Three Wheeled Vehicles are gaining popularity across various Asian and African countries. They are characterized for their relatively low susceptibility to rollover when compared to Four Wheeled Vehicles. Establishing an analytical criterion based on architectural parameters such as wheelbase, rear track, masses, and center of gravity coordinates is crucial. This criterion assists manufacturers, particularly during the initial design stages, providing valuable guidance for optimizing vehicle stability. The Static Stability Factor serves as a prominent design criterion in the automotive sector, offering an assessment of a vehicle's resistance to rollover incidents. This paper aims to enhance the existing criterion initially proposed by Huston et al., particularly by addressing scenarios where a load is unevenly distributed on the vehicle's tray. The findings of this study underscore the high sensitivity of such vehicles to unsymmetrical loading configurations.
The effect of variations of V-seam root face on Shielded Metal Arc Welding (SMAW) on the mechanical properties of AISI 1045 medium carbon steel Sukmana, Irza
Journal of Applied Science, Engineering and Technology Vol. 3 No. 2 (2023): December 2023
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v3i2.62

Abstract

Steel is an alloy primarily composed of iron (Fe) with carbon (C) as its main alloying element. Medium carbon steel, a commonly used material in the automotive industry, is known for its strength and durability. The Shielded Metal Arc Welding (SMAW) process is widely employed to join metal parts by heating and pressing them together, using a coated electrode to protect the welding arc from oxidation. One key parameter in SMAW is the root face size, as it influences the amount of filler metal in the groove area, ultimately affecting the mechanical properties of the weld. This study investigates the impact of varying root face sizes on the mechanical properties of AISI 1045 medium carbon steel. Results from the impact test show a value of 0.772 Joules, indicating a notable correlation between root face size and mechanical performance. The tensile test results reveal that larger root face sizes reduce the filler metal qu Zulmiftahantity, resulting in higher tensile strength, as AISI 1045 steel exhibits greater tensile strength than the E7016 electrode. The highest average tensile strength, recorded at a 3 mm root face, was 559.05 MPa. Visual inspections revealed several welding defects, including spatter, porosity, start-stop marks, and pinholes.
Intelligent Eyes on the Battlefield: Developing an AI-Vision Based Military Vehicle and Infantry Detection System Wibowo, Pasha R A; Ummah , Khairul; Arifianto, Ony; Widagdo, Djarot; Riszal, Akhmad; Arif, Yanuar Zulardiansyah
Journal of Applied Science, Engineering and Technology Vol. 3 No. 2 (2023): December 2023
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v3i2.63

Abstract

The importance of accurate, real-time intelligence in modern warfare is crucial, especially in reconnaissance and surveillance operations. Currently, drones are widely used for reconnaissance, but generally rely only on the operator's ability to monitor operation targets. This research is aimed at developing an AI vision assistance system to enhance the ability to detect military vehicles and infantry. The method used is computer vision trained to recognize and differentiate several military objects. The YOLO model is used to detect and distinguish objects. To improve detection capabilities, the YOLO v8 model was retrained with an additional dataset sourced from battle recordings on the battlefield. The results show a detection accuracy rate of 95% in detecting vehicles and infantry under normal visual conditions. The model from this research can be used to enhance the capabilities of reconnaissance drones and the effectiveness of monitoring operations.

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