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Journal of Novel Engineering Science and Technology
Published by Indonesian Institute of Science and Technology Research
ISSN : 29618916     EISSN : 29618738     DOI : https://doi.org/10.56741/jnest.v1i02
Core Subject : Science, Social, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Environmental Science Mechanical Engineering
Journal of Novel Engineering Science and Technology is a multi-disciplinary international open-access journal dedicated to natural science, technology, and engineering, as well as its derived applications in various fields. JNEST publishes high-quality original research articles and reviews in all of the disciplines mentioned above. All papers submitted will go through a rapid peer-review process to ensure their quality. Submissions must contain original research and contributions to their field. The manuscript must adhere to the author’s guidelines and have never been published before. All accepted manuscripts will be indexed in DOAJ, EBSCO, and Google Scholar. The indexation in SINTA, Scopus, and WoS will be provided in the future to provide maximum exposure to the articles.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 57 Documents
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Analysis of Electromyography (EMG) Signal Processing with Filtering Techniques Oo, Nandar; Aye, Mya Mya; Oo, Thandar; Win, Lei Lei Yin; Tun, Hla; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 3 No. 02 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i02.524

Abstract

The paper presents the Analysis of Electromyography (EMG) Signal Processing with Filtering Techniques. The problem in this study is how to consider the filtering techniques for fundamental EMG signal processing with high-level accuracy. The research method for designing the simulation codes for observing the EMG signal modeling and digital filtering techniques with mathematical approaches from the signals and systems concepts. The results confirm that the outcomes of this study met the performance target for noise removal techniques of EMG signals in real-world applications.
Analysis of Third-Generation Solar Cell Design with Physics of Semiconductor Tin Swe, Hsu Myat; Ei Khin, Ei; Soe, Khaing Thandar; Win, Lei Lei Yin; Tun, Hla Myo; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 3 No. 02 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i02.525

Abstract

The paper presents the Analysis of Generation Solar Cell Design with Physics of Semiconductor. The research problem in this study is how to design a high-performance solar cell with novel semiconductor compounds that are fabricated in the laboratory based on the physical parameters. The approach to solving the proposed research problem is based on experimental studies through theoretical research in recent works. The first one is to develop the effective structure for solar cell design and the other is to develop the energy band structure of III-V compound-based third-generation solar cell. The simulation analyses were carried out with the help of MATLAB language. There are many steps to designing high-performance semiconductor devices for real-world applications. The results confirm that the numerical analyses of these two developments could be supported to estimate the outcomes of experimental studies without using real equipment in the laboratory. 
Effect of Micronised Pumice Powder Addition on Shore-D Hardness Values of Medium Density Fiber Epoxy Composite Ulay, Göksel; Koyuncu, Menderes
Journal of Novel Engineering Science and Technology Vol. 3 No. 02 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i02.531

Abstract

The present study explores the effect of MDF powder-reinforced filled pumice powder epoxy composites on their Shore - D properties, produced by using different weight percentage. The composites samples containing 10, 20, 30, 40, and 50wt% of pumice powder were fabricated by using hand lay-up technique. The specimens prepared were tested for hardness as per the ASTMD2240 standards. The outcomes of the study revealed that pumice powder amount in the composite increasing with an increased in Shore-D hardness values. It is noted that the weight percentage of 50% of pumice powder and 50% of MDF powder composite was produce the maximum hardness values.
Quality Analysis of Fresh Milk Based on Specific Gravity Parameters at CV Cita Nasional in Central Java, Indonesia Rahmawati, Farida Dwi; Juwitaningtyas, Titisari
Journal of Novel Engineering Science and Technology Vol. 3 No. 02 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i02.533

Abstract

In maintaining the quality of milk produced, it is necessary to supervise and control quality. One important aspect is controlling the specific gravity value of fresh milk. The specific gravity parameter of fresh milk is one of the determinants of whether the milk can be accepted or rejected as raw material. In addition, it is also a determining factor in determining the selling price of milk. To determine the quality control of the specific gravity of fresh milk, the control chart analysis method is used. The results of the analysis that have been carried out from various KUDs obtained the average specific gravity of fresh milk from Capita Farm KUD which is 1.0295 g / mL; the average specific gravity of fresh milk from KUD Cepogo is 1.0265 g/mL; the average specific gravity of fresh milk from Andini KUD is 1.0266 g/mL; the average specific gravity of fresh milk from Getasan KUD is 1.0268 g/mL, and the average specific gravity of fresh milk from Boyolali Kota KUD is 1.0292 g/mL. The specific gravity value of fresh milk supplied from various KUD can be concluded that the specific gravity value meet the company's quality standards, SNI, and existing literature so it is said that the specific gravity of fresh milk in CV Cita Nasional is in control, and can be accepted as raw material for making pasteurized milk.
Suspension Bridge Estimation Method using the Fokker-Planck Model Jufriansah, Adi; Lazwardi, Ahmad; Pramudya, Yudhiakto; Nurrahman, Arip; Khusnani, Azmi; Yohakim, Yoman Ribeta Ratu
Journal of Novel Engineering Science and Technology Vol. 3 No. 02 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i02.536

Abstract

The failure of the suspension bridge has been known since the beginning of the bridge collapse. Most of these failures form the basis of current engineering knowledge. One of the factors of failure is human-made factors related to the calculation of the bridge estimate. This paper presents an indirect estimation method using numerical simulation using finite elements by analyzing the Fokker-Planck model when dynamic excitation is associated with bridge loads. The results show that the Fokker-Planck model's homogeneous form can take into account the solution for the bridge analysis approach. It leads to a stable state when giving mass variations to the model. The indirect estimation method using finite elements can estimate the cable tension with controllable weak damping. It can be concluded that the method in this study is more accurate and convenient for the application technique.
Developing New PVT Correlations for Libyan Crude Oil Using Samples from Different Reservoirs Burgan, Taha A.; Moammer, Saleh F.; Aghanaya, Mahfoud Z.; Khair, Ali A.
Journal of Novel Engineering Science and Technology Vol. 3 No. 03 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i03.541

Abstract

Five PVT correlations including bubble point pressure, solution gas-oil ratio, oil formation volume factor, dead oil viscosity, and oil density were used to analyze a total of 102 data sets from the Libyan crude oil reservoirs representing Sirte, Ghdames, Murzug, and offshore Tripolitania basins, to find a new more accurate correlation. Linear & nonlinear regression and statistical software packages (Excel, Minitab, and Mat lab software) were applied to the above-mentioned crude samples. The application of multilinear regression and statically software on the solution gas, oil ratio, temperature, and API gravity, exhibit a direct proportionality with the bubble point, whereas in the case of gas gravity, the correlation shows inversely proportionality with the bubble point. The relationships between the solution gas oil and other properties show that the distribution of the tested points in these investigations are located very close to the 45° trend line fourth solution gas oil ratio, indicating that the correlations have higher accuracy with our newly developed PVT equations for the analyzed Libyan crude oil samples. The cross plots between measured vs. calculated oil formation factor, dead oil viscosity, and oil density play a very good reliable correlation compared with previously published correlations done by other researchers as well as in the statistical calculation, in addition, the AARE and R2 results were calculated for previous published correlation in different locations over the world. Based on the obtained results in this research, the proposed correlations are more accurate than all the other previously published correlations, exclusively for Libyan crude oil.
Advanced Exergy Analysis on the Turbofan Engine Indriyati, Feni; Mahandari, Cokorda Prapti; Yamin, Mohamad
Journal of Novel Engineering Science and Technology Vol. 3 No. 03 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i03.543

Abstract

Studies on energy utilization underscore the paramount importance of energy, as evidenced by numerous researchers. This research encompasses both conventional and advanced exergy analyses. Advanced exergy analysis aims to ascertain the extent of energy loss in each component, influenced by irreversibility, and to account for component interactions within the system. Furthermore, advanced exergy analysis seeks to enhance the operational efficiency of each engine component. The findings reveal that the combustion chamber exhibits the highest level of energy loss, amounting to 32.817 MW. This energy loss primarily stems from irreversibility triggered by chemical reactions leading to heat transfer. Overall, the study results indicate that the exergy influx from external sources surpasses that generated internally in each component system.
Analysis of Physics of Novel Light-Emitting Diode for Holographic Imaging Wah, Thae Nu; Win, Thanda; Win, Lei Lei Yin; Hla Myo Tun; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 3 No. 02 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i02.566

Abstract

The paper focuses on the analysis of the physics of a novel light-emitting diode for holographic imaging. The research problems in this study are based on the specific challenges that were discussed in the introduction. The solution for this research problem is accomplished with two approaches such as (i) device modeling, physics of LEDs, and characteristics of LEDs under the theoretical analysis and (ii) fabrication of LEDs, PL and FTIR measurement, performance check, and performance comparison under the experimental studies. The specific objectives of this research are to advance the LED design for optical transmission in 5G communication systems, to recognize the semiconductor material for LED structure, and to approach theoretical and numerical calculations for LED. In these analyses, there are two main approaches for solving the performance of the novel light-emitting diodes. The first one is to develop the effective structure for light emitting diode and the other is to develop the energy diagram design of III-V and II-VI compound-based LED. The simulation analyses were carried out with the help of MATLAB language. The results confirm that the numerical analyses of these two developments could be supported to estimate the outcomes of experimental studies without using real equipment in the laboratory.
Performance Optimization of Brain Tumor Detection and Classification Based MRI by Using Batch Normalization Algorithms in Deep Convolution Neural Network Tin, Thein Aung; Aye, Mya Mya; Khin, Ei Ei; Oo, Thandar; Tun, Hla Myo; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 3 No. 03 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i03.567

Abstract

Brain tumor is represented as an essential part of critical cancers around the world. These cells multiply and accumulate uncontrolled, forming a mass or lump that can interfere with normal brain function. Primer detection systems not only took too must time in analyzing and setting error, but also extended more datasets to become overfitting, more computation time, and lack accuracy. Supervised ML and traditional CNN are not convenient for estimating the vita feature engineering in larger datasets and they need to be modified using normalization techniques in deep convolutional Neural Networks (CNNs) architectures. The proposed of the research MRI image datasets were evaluated and combined with two popular benchmark data sets, Kaggle, and BRATS. This main objective is to reduce the computational cost avoid overfitting and underfitting and then improve the classification accuracy. In addition, this paper follows the concept of the CNN model and evaluates the modified DCNN with six normalization layers benefits acceptable results with batch normalization techniques and the average number of epochs in a limited time. In this regard, we exploited to extend inside the layer DCNN for the problem of brain tumor classification. This model achieved the best result for the enhanced dataset, with a training accuracy of 99.9%, 98.9% in validation accuracy, 0.0074 in training loss, and a validation loss of 0.0566 in validation loss.
Transparent Film Profiling and Analysis by White Light Scanning Interferometry Hlaing, Nway Nway; Win, Lei Lei Yin; Tun, Hla Myo; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 3 No. 03 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i03.569

Abstract

This paper describes the use of white light scanning interferometry with a Super luminescent diode (SLD) for thin film surface measurement. The technique provides 3D top surface and thickness profiles of transparent films, as well as detailed properties of multilayer film stacks, including material optical properties. The setup involves splitting a laser beam with a beam splitter, generating interference signals detected by a photodetector, and then converting analog signals to digital using an A/D converter for further analysis with LabView and MATLAB software. In this paper, the theoretical analysis and simulation study of white light scanning interferometry for transparent film measurement is discussed. This approach offers a flexible tool for both engineering and structured surface measurements.

Page 4 of 6 | Total Record : 57

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