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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. 4 No. 1 (2024): June 2024" : 5 Documents clear
Dr. DETERMINATION AND MODELING OF ULTIMATE TENSILE STRENGTH OF BREADFRUIT PEEL-LOW DENSITY POLYETHYLENE (BRFP-LDPE) COMPOSITE APPLYING BIGG’S EQUATION Rabboni, Dr. Government; Ayuba, Dr. Solomon
Journal of Applied Science, Engineering and Technology Vol. 4 No. 1 (2024): June 2024
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v4i1.61

Abstract

(LDPE) for breadfruit peel-low density polyethylene composite using statistical means to model ultimate tensile strength of the BRFP-LDPE composite using Bigg’s model. The breadfruit peel at fraction of 0.5-.0.25 wt when it was not modified was blended with LDPE matrix (UNT). The BRFP was later modified with NaOH (NST), NaOH+CH3COOH (AAT),, NaOH+CH3COOH+MAPE (MPT) impregnated in LDPE matrix to manufactured BRFP-LDPE composite by injection molding machine, respectively. After production, BRFP-LDPE composite was tested for the ultimate tensile strength. The results show that the Bigg’s model was able to give the prediction of the maximum tensile strength of BRFP-LDPE composite with coefficient of correlation (R2M) for the model =0.994 for UNT, NST, AAT and MPT, respectively. Also, in the same vein, the coefficient of correlation as derived from the experiments (R2) were 0.975, 0.978, 0.8 and 0.955 for the tensile strength of BRFP-LDPE composite which coincided for UNT, NST, AAT and MPT, respectively.. Finally, the relative percentage deviation modulus between experiment and Bigg’s equation (µ) <10. These statistical data seen confirmed highly prediction of ultimate tensile strength of experimental values using the Bigg”s model.
Aircraft Detection in Low Visibility Condition Using Artificial Intelligence Sembiring, Javensius; Ummah , Khairul; Widyosekti, M. Dhiku; Arif, Yanuar Zulardiansyah; Huda, Zulmiftah
Journal of Applied Science, Engineering and Technology Vol. 4 No. 1 (2024): June 2024
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v4i1.64

Abstract

Bad weather often interferes with the functioning of the air transport system. One example is the frequent flight delays for commercial aircraft, resulting in losses for both the airline and passengers. Artificial Intelligence (AI) technology can now minimize delays caused by bad weather, especially in low visibility conditions. This paper discusses AI modeling that can detect aircraft in a low visibility weather condition, especially in the airport area. The employed method is the deep learning approach with the YOLOv4 algorithm (single-stage detection), which is regarded as one of the optimal platforms in this field. There are 600 images used in this work to create and train three different models. Image Dehazing filter is employed on the training data before it is trained to produce the detection model. The result shows that the model has a good performance in terms of performance metrices. Thus, this model is suitable to be used to detect aircraft in low visibility conditions.
Activation of Natural Zeolite Mixture and Coal Flyash Using Microwave as Air Filter for the Improvement of Gasoline Four-Stroke Motorcycle Engine Acceleration Risano, A Yudi Eka; Wardono, Herry; Renardy, B Niko; Susila, M Dyan; Sugiri, Agus; Haviz, Muhammad
Journal of Applied Science, Engineering and Technology Vol. 4 No. 1 (2024): June 2024
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v4i1.70

Abstract

Combustion is a chemical process between fuel and oxygen utilizing heat. Ambient air contains a variety of gases such as nitrogen, oxygen, and other gases, causing incomplete combustion in the combustion chamber of a 4-stroke petrol engine. The use of artificial air filters with zeolite-flyash composition activated by microwave can adsorb the air that enters the combustion chamber. So that it can improve the quality of combustion. Zeolite is a mineral that is found in limestone mountainous areas, while coal flyash is material from coal combustion at PLTU. Both of these materials have the ability to adsorb molecular sized particles such as nitrogen, CO and water vapor in the air, so the use of both materials is able to produce air with rich oxygen. The performance of the 4-stroke petrol engine is influenced by a decrease in fuel consumption, able to increase acceleration, and reduce exhaust emissions containing CO and HC. To find out the effect of the use of activated zeolite-flyash filters on engine performance, an acceleration test of 0-60 kph was performed. Filter being activated by Microwave with 80% power, 6 minutes activation time, and density (variation in the number of pellets in the filter) 50%, 75%, 100%, and use the Z0: F100, Z25: F75, Z50: F50, Z75: F25, Z100: F0. The best filter is the composition of Z100:F0 with a compactness of 50% able to increase acceleration by 7.17%, followed by filter with composition of Z25:F75 with a compactness of 50% able to increase acceleration by 4,04%.
Effect of Variation of Quenching Process Cooling Media on Hardness and Microstructure of AISI 1020 Steel Subjected to The Pack Carburizing Process Using Graphite and Eggshell Carbon Media Zulhanif, Zulhanif; Supriadi, Harnowo; Prihastomo, Sigiet; Hanif, Muhammad; Ummah, Khairul
Journal of Applied Science, Engineering and Technology Vol. 4 No. 1 (2024): June 2024
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v4i1.73

Abstract

AISI 1020 steel is a low carbon steel which has a low selling price compared to medium carbon steel, high carbon steel, and alloy steel. This material is used as a construction material. in general, it is widely used and applied to machine components and construction components such as gears and shafts with relatively small loads. The purpose of this research is to increase the value of hardness. The pack carburizing process is carried out using graphite carbon media and egg shells at a temperature of 850 ºC. This process can increase the hardness of a material. The highest hardness value was obtained with the brine cooling medium of 457,111 BHN, then the water-cooling medium of 319,345 BHN, and finally the oil cooling medium of 248,204 BHN.
Design and Calculation of NACA 4412 Horizontal Wind Turbine Blades with Variations in Angle of Attack Using BEM Simulation Sugiri, Agus; Su'udi, Ahmad; Ignatius, Gian Roni; Ghurri, Ainul; Saputra, Rizal Ada
Journal of Applied Science, Engineering and Technology Vol. 4 No. 1 (2024): June 2024
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v4i1.74

Abstract

The need for electricity in Indonesia becoming increasingly part of people's needs. Fossil fuels such as oil and coal used as the main material for producing electrical energy the more limited availability, especially in its use of fossil fuels that pollute the environment. Wind energy is a renewable energy source that could potentially be developed. Wind energy is clean and does not pollute the environment in utilization into mechanical or electrical energy. The conversion of wind energy into electrical energy by converting this energy into mechanical rotation. In the wind energy utilization process made a tool to convert wind energy into electrical energy, that is wind turbines.Wind turbine or windmill is a tool for converting wind energy. Wind turbines transform kinetic energy into mechanical energy in the form of a round shaft. Shaft speed is then used to rotate the dynamo or a generator which produces electricity. The research was carried out on a horizontal axis wind turbine NACA 4412, diameter 1 m, the number of blades 3 pieces and variations in wind speed 2-8 m / s. Results showed the greatest lift (CL) at 14o angle of attack with a value of 1.583. The driving force of the smallest (CD) at an angle of attack -4o to 2o with a value of 0.008. Value CL / CD was found in the angle of attack of 6o with a value of 93.057. The maximum power generated by 484.63 Watt. Wind speed, the number of blades, angle of attack and the election of the airfoil effect on the generated power.

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