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INDONESIA
INDONESIAN JOURNAL OF APPLIED PHYSICS
Published by Universitas Sebelas Maret
ISSN : 20890133     EISSN : 24776416     DOI : -
Core Subject : Science,
Astronomy Energy Materials Science & Nanotechnology Physics
Indonesia Journal of Apllied Physics provides rapid publication of short reports and important research in all fields of physics. Indonesia Journal of Apllied Physics publishes articles that are of significance in their respective fields whilst also contributing to the disclipline of physics as a whole. Articles should be submitted to the Editorial Office of Indonesia Journal of Apllied Physics through this site. Further information on submission is also available at this site
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Articles 267 Documents
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Determining The Crystallite Size of TiO2/EG-Water XRD Data Using the Scherrer Equation Muhamad Taufik Ulhakim; Sukarman Sukarman; Khoirudin Khoirudin; Nazar Fazrin; Tomas Irfani; Afif Hakim
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 1 (2024): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i1.79195

Abstract

X-ray diffraction (XRD) data and the Scherrer equation were utilized to analyze the crystallite Size of titanium dioxide (TiO2) in a solution of ethylene glycol (EG) and distilled water. The XRD analysis was conducted using a Rigaku Miniflex 600 instrument with an X-ray wavelength of approximately 0.15046 nm. The examination yielded the full-width half maximum (FWHM), which was subsequently examined using the Scherrer equation. This experiment employed TiO2 with a purity level of 99.8% and a crystal Size of 30 nm. The analysis revealed that the average crystallite Size of TiO2 in the sample is 19.45 nm, with the highest measurement at about 30.38 nm. The Spearman correlation equation was employed to validate the outcomes. The Spearman's correlation coefficient between the FWHM variable and the crystallite Size of TiO2 nanoparticles is -0.958. These findings shed light on the crystal structure of TiO2 under these conditions. These findings lend support to the use of TiO2 in a variety of nanotechnology applications. However, more research is needed to understand fully how crystallite-Size TiO2 nanoparticles work in different settings and to find the best ways to prepare samples, including understanding the specific phase and how it affects the stability of fluids. This research contributes significantly to the understanding of the properties of TiO2 in a solution of distilled water and EG, as well as to the characterization of nanomaterials, with particular emphasis on issue 9 of the SDGS Goal concerning industry, innovation, and infrastructure.
Polyvinylidene fluoride (PVDF) Nanofiber Modified Current Collector in Anode-Free Lithium Battery Hendri Widiyandari; Adama DinaPanuntun; Hanaiyah Parasdila; Iqbal Firdaus; Agus Purwanto
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 1 (2024): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i1.78679

Abstract

In order to coat the layer of the Cu for an anode-free lithium battery (AFLB) and examine AFLB performance, PVDF nanofiber with electrospinning is used. The fabrication time and molecular weight of the nanofiber can be modified. In comparison to conventional models, the AFLB is one of the new model options that provides great energy density at the same battery size. The disadvantages of this new model battery include its limited electrochemical performance and the fact that it is still in its initial stages of manufacturing. Low Coulombic efficiency and uncontrolled dendritic growth are challenges in the growth of AFLB. For the fabrication of nanofiber membranes were synthesized with different types of PVDF Mw 1.300.000 and 534.000, PVDF Nanofibers were made using electrospinning with time variations of 5 hours, 7 hours, and 9 hours, and their thermal, mechanical, and porosity properties were examined. The PVDF Mw 1.300.000 sample had the greatest porosity percentage value which is 47.031% during a 9-hour time. The PVDF Mw 534.000 sample had the highest tensile strength results, with a variation of 2.33 MPa during a 9-hour time. The PVDF Mw 1.300.000 sample had the highest percentage elongation results, 39.7%. The average nanofiber size varies with processing time, with the PVDF Mw 1.300.000 sample having the smallest size at 167.9 nm.
Estimation Model Peak Ground Acceleration at Bedrock and Surface of The Pasaman Barat Earthquake on February 25, 2022 M_w 6.1 Furqon Dawam Raharjo; Syafriani Syafriani; Suaidi Ahadi
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 1 (2024): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i1.72221

Abstract

The earthquake occured on february 25, 2022 in West Pasaman, Province West Sumatera with momen magnitude Mw6.1, produced strong ground motion so that many several buildings were damaged.  The peak ground  acceleration (PGA) represents its level ground acceleration in bedrock and peak surface acceleration (PGAm) describes the acceleration value on the surface which depends on the amplification factor and the type of soil classification. Information  peak ground acceleration (PGA) and peak surface acceleration (PGAm) values plays an important role in describing the level of damage due to earthquake events. The purpose this study for determine the peak ground  acceleration (PGA) and  peak surface acceleration (PGAm) for West Pasaman earthquake Mw6.1 using boore (1997) attenuation model. In this study using parameter data main earthquake and then peak ground acceleration (PGA) value calculated each grid points and  then analysis peak surface acceleration (PGAm) value is based on the effect of site class from information Vs30 USGS model on peak ground acceleration (PGA) at bedrock from SNI 1726 : 2012. The result in this study showed peak ground acceleration and  peak surface acceleration value  in due West Pasaman earthquake  ranged  between 0.066 - 0.345 g and 0.223 - 0.627 g. The areas affected by heavy damage occured  in Kajai, Rimbo Panti, Malampah and Tigo Nagari Subdistrict with peak ground acceleration and peak surface acceleration value around 0.115 - 0,345 g and 0.423 - 0.627 g respectively and was dominated with type site class moderate soil (SD) based on Vs30 data form USGS model.
The Effect of Tetraethil OrthoCilicate (TEOS) on Fe3O4 Nanoparticles Addition in Electrical Indri Dayana; Habib Satria; Martha Rianna
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 1 (2024): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i1.74558

Abstract

Magnetite Nanoparticles of pure (Fe3O4) and Fe3O4 with TEOS addition have been successfully synthesized from natural iron sand using the coprecipitation method. The purpose of this study is to provide information on the effect of TEOS to Fe3O4 on the electrical properties. The effect of TEOS addition to Fe3O4 indicates that the increase in true density results is 4.95 gr/cm3. The stability of nanolubricant on Fe3O4 nanoparticles with the addition of TEOS 1.2 ml was dispersed homogeneously. The value of thermal conductivity also increases due to TEOS addition on Fe3O4 nanoparticles in a volume fraction of 0.8% of 1,631 W/m.K and the heat of the type produced was 718.44 J/kg.K. The effect of TEOS addition on Fe3O4 nanoparticles produces good electrical properties of stability in the nano-lubricant.
Density Functional Theory (DFT) and Quasi Harmonic Approximation (QHA) on Isotope effect of Methane Absorbed on Ag(111) Surface Septia Eka Marsha Putra; Indah Gumala Andirasdini
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 1 (2024): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i1.71754

Abstract

We investigated the isotope effect of methane (CH4) on Ag(111) using van der Waals density functional and the quasi-harmonic approximation.In this study, we combined two methods to investigate the nuclear quantum effect in methane adsorption on an Ag(111) surface. We obtained that the adsorption potential energies of CD4on fcc Ag(111) surfaces are shallower than those of CH4, whereas the equilibrium distances from the surface are larger.The similiar finding also observed in our previous study, however, Ag(111) gives smaller energies.It is found that the similar softening of the C-H bond pointing toward the surface is the cause of the isotope effect. This softening leading to lowering the vibrational frequency and large zero-point energy difference between CH4and CD4. 
Design of Resistivity Meter Data Storage System Based on Arduino Mega 2560 Laboratory Scale Measurement Results Dewa Gede Eka Setiawan; Rizky Prayatman; Salmawaty Tansa
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 1 (2024): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i1.64901

Abstract

A resistivity meter can find out resistivity depth of rock structure, sediment layer, or the depth of water surface. However, the resistivity meter that is often used requires manually recording of the measurement results before inputting them into the processing data software, and this creates many steps in the geoelectric survey. This is because acquiring a resistivity meter with a data storage system entails additional costs, due to its expensive price. Consequently, many of the resistivity meters currently found in laboratories or used in the field are not equipped with a data storage system. This research aims to design a resistivity meter with a data storage system for measurement results, based on Arduino Mega 2560, for laboratory scale. The used sensors were INA219 currents sensor and voltage sensor. In addition, the tests were carried out to determine the level of accuracy of each sensor and testing for data storage system of measurement result. This research employed Schlumberger configuration in the development of resistivity meter. This research has successfully developed a resistivity meter device with a current sensor accuracy level of 97.28% using the INA219 sensor, and a voltage sensor accuracy level of 97.44%. It is noteworthy that the accuracy level is high, and the device is capable of performing readings effectively. This research has successfully designed a resistivity meter which has a measurement data storage.
A Comparison of CNN-based Image Feature Extractors for Weld Defects Classification Tito Wahyu Purnomo; Harun Al Rasyid Ramadhany; Hapsara Hadi Carita Jati; Djati Handoko
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 14, No 1 (2024): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v14i1.72509

Abstract

Classification of the types of weld defects is one of the stages of evaluating radiographic images, which is an essential step in controlling the quality of welded joints in materials. By automating the weld defects classification based on deep learning and the CNN architecture, it is possible to overcome the limitations of visually or manually evaluating radiographic images. Good accuracy in classification models for weld defects requires the availability of sufficient datasets. In reality, however, the radiographic image dataset accessible to the public is limited and imbalanced between classes. Consequently, simple image cropping and augmentation techniques are implemented during the data preparation stage. To construct a weld defect classification model, we proposed to utilize the transfer learning method by employing a pre-trained CNN architecture as a feature extractor, including DenseNet201, InceptionV3, MobileNetV2, NASNetMobile, ResNet50V2, VGG16, VGG19, and Xception, which are linked to a simple classification model based on multilayer perceptron. The test results indicate that the three best classification models were obtained by using the DenseNet201 feature extractor with a test accuracy value of 100%, followed by ResNet50V2 and InceptionV3 with an accuracy of 99.17%. These outcomes are better compared to state-of-the-art classification models with a maximum of six classes of defects. The research findings may assist radiography experts in evaluating radiographic images more accurately and efficiently.

Page 27 of 27 | Total Record : 267

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