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Herri Trilaksana, S.Si, M.Si, Ph.D
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Physics Department, Faculty of Science and Technology, Airlangga University, Kampus C Mulyorejo, Surabaya, 60115
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INDONESIA
Indonesian Applied Physics Letters
Published by Universitas Airlangga
ISSN : -     EISSN : 27453502     DOI : http://dx.doi.org/10.20473/iapl.v1i2.23444
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Electrical & Electronics Engineering Materials Science & Nanotechnology Physics
Indonesian Applied Physics Letter is an multi-disciplinary international journal which publishes high quality scientific and engineering papers on all aspects of research in the area of applied physics and wide practical application of achieved results. The field of IAPL, which can be described as encounter of material science, theoretical science, computational, instrumentation, biomedical, geophysics and applied physics, has become distinguishable integrated discipline of research-based endeavor.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 35 Documents
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PROTOTIPE PROTOTIPE OF AN ARDUINO-BASED WATER QUALITY MONITORING EQUIPMENT FOR OPTIMIZATION OF BIOFLOC SYSTEMS Mukhammad Fiyan Jatmiko
Indonesian Applied Physics Letters Vol. 3 No. 1 (2022): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i1.36890

Abstract

The disadvantage of this biofloc system cultivation is that it requires intense monitoring of water quality to maintain floc stability in the cultivation media. The solution to this problem is the creation of a prototype water quality monitoring tool in a biofloc system cultivation pond that is able to measure water quality consisting of DO, temperature, pH, and ammonia and is able to display measurement data into applications and is able to provide treatment suggestions. Create prototyping with a microcontroller system as well as designing applications and carrying out testing experiments on component units. The prototype accuracy test is carried out by comparing the results of water quality measurements with conventional tools. The results of the study explained the procedure for making a prototype of a tool consisting of the design of a water quality measuring device and the design of a viewer application of water quality measurement results. The accuracy of the tool components of the DO sensor is 98.5%, the temperature sensor is 99.89%, the pH sensor is 95.1%, and the ammonia sensor is 95.4%. This tool is able to take measurements well and is useful for the breeder.
ANALYSIS OF POTENTIAL PROFILE CHANGES IN THE BRAIN DUE TO NOISE IN HYPERTENSION PATIENTS Tri Anggono Prijo; Istiqomah Istiqomah; Welina Ratnayanti Kawitana
Indonesian Applied Physics Letters Vol. 3 No. 1 (2022): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i1.39180

Abstract

This study aims to determine the relationship of the potential profile of the brain to noise so that it can affect changes in blood pressure. This research is a type of observational research conducted by treating hypertension and normal blood pressure test. The treatment given was to record brain waves that were given various disturbances of sound intensity levels of 100 dB, 110 dB and 120 dB with a single frequency = 12,000 Hz which was obtained from mosquito noise sources. The recording was done for 60 seconds for each treatment and the data was taken every 2 seconds on the results of the Electroencephalogram (EEG). The analysis used is the FFT test which is generated from the Electroencephalogram (EEG) recording through the program work Labscribeand paired t-test using the SPSS program. The results showed that at varying levels of sound intensity and frequency 12,000 Hz produced theta (hypertension) and alpha (normal blood pressure) brain waves which produced serotonin hormones and caused dilation of blood vessels so that blood pressure decreased. The results of the t-test showed that there was an effect on normal tests on diastole and no effect on systole.
Theoretical Study of the Stability of Acetylcholine Based on Molecular Orbital Theory using Density Functional Theory Fitri Noor Febriana; Vera Khoirunisa; Wun Fui Mark-Lee; Febdian Rusydi
Indonesian Applied Physics Letters Vol. 3 No. 1 (2022): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i1.39777

Abstract

Some molecules in nature have a positive or negative charge. One such molecule is acetylcholine. Acetylcholine is a positively charged molecule that is responsible for Alzheimer's disease. This study evaluated acetylcholine through six simple molecules based on the ionization potential and the HOMO-LUMO gap obtained from the density functional theory calculation. The calculation results showed that the ionization potential and the HOMO-LUMO gap could explain the stability of acetylcholine and the six other molecules. As a result, acetylcholine has the same properties as five other simple molecules. Meanwhile, one other molecule has the opposite properties to acetylcholine.
Speech Synthesis Based on EEG Signal for Speech Impaired Patients by Using bLSTM Recurrent Neural Network Abdufattah Yurianta; Anaqi Syaddad Ihsan; Arijal Ibnu Jati; Osmalina Nur Rahma; Aji Sapta Pramulen
Indonesian Applied Physics Letters Vol. 3 No. 1 (2022): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i1.40257

Abstract

The disability rate in Indonesia is still relatively high and is one of the main health problems which reaches 30.38 million people or 14.2% of the Indonesian population. One of these types of disabilities is speech impairment. There are several possible causes for speech impairment, including the focal disturbance. This situation occurs because of disturbances in the vocal cords caused by injuries due to accidents and other conditions, such as throat cancer, which of course will reduce the productivity of the sufferer. Sign language can be used to communicate, but it still has limitations for normal individuals. In addition, speech synthesis using brain computer interface (BCI) based on electrocorticography (ECoG) has been developed. However, this method still has a weakness, namely invasive and allows the emergence of large enough scar tissue, so that it can reduce the quality of brain biopotential to be recorded. Therefore, a non-invasive EEG-based speech synthesis method was initiated. This method uses bLSTM as one of the components of the RNN model, so that it can construct syllables into words. This system consists of datasets, data filter programs, data segmentation programs, feature extraction programs, ANN and RNN deep learning model training programs, and text-to-speech programs. ANN and RNN form a 2-level deep learning. The testing accuracy and accuracy of the ANN are 26.04% and 20.83%, while the accuracy of the RNN is 81.25%. To improve these results, in the future, researchers can improve the data collection process and increase the number of the data, use the correct extraction feature, and compare several machine learning architectures, to produce optimal accuracy.
Ab Initio Molecular Dynamic Study of Structural and Electrical Properties of Gold Nanoparticle Abdullah Aufa Fuad; Andi Hamim Zaidan; Adri Supardi
Indonesian Applied Physics Letters Vol. 3 No. 1 (2022): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i1.40259

Abstract

The goal of this research is to know structural and electrical properties of gold nanoparticle (GNP) through ab initio molecular dynamic (AIMD) method. Structural properties are explained by the study of coordination number, bond angle distribution, and radial distribution function. Electrical properties are explained by the study of band structure and density of states. GNP samples used in this research are liquid, amorph, and icosahedral. The main software used for AIMD numerical calculation was SIESTA. Liquid GNP is dominated by coordination number of 9, amorf GNP 10, icosahedral GNP 18. Bond angle distribution of liquid GNP has 1 peak in 60o, amorph GNP has 4 peak in 60o, 90o, 120o, 175o, icosahedral GNP has complete all 6 peak. Internal spacing of liquid GNP is 2,7 Ã…, amorph is 2,8 Ã…, icosahedral is 1,9 Ã…. Study of band structure show that the width of liquid GNP bandgap is 0,040 eV, amorph is 0,071 eV, icosahedral is 0,200 eV. While the width of bandgap by density of state study for liquid GNP is 0,053 eV, amorph is 0,085 eV, icosahedral is 0,200 eV.
Effect of Nitrogen-Based Ion Implantation on The Characteristics of 316L Stainless Steel for Implant Materials Drs. Djony Izak Rudyardjo, M.Si.; Firman Maulana Ikhsan; Adri Supardi
Indonesian Applied Physics Letters Vol. 3 No. 2 (2022): December
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i2.40951

Abstract

The effect of nitrogen-based ion implantation on the characteristics of 316l stainless steel for implant materials has been performed. This study aims to determine the effect of variations in implantation energy on the characteristics of the surface mechanical properties, density, and corrosion resistance of 316L stainless steel. The 316L stainless steel plate was implanted with nitrogen ions with an optimum dose of 5 x 1016 ions/cm2 for various implantation energies of 70, 75, 80, 85, and 90 keV. The implanted samples were then characterized by density, hardness, corrosion resistance, and microstructure tests using SEM-EDX. The test results showed an increase in hardness and corrosion resistance in pieces implanted with nitrogen ions and reached the optimum point at an implantation energy of 80 keV. This was also supported by the results of the SEM-EDX analysis, which showed an addition of nitrogen content from the maximum limit of the ASTM 2000 standard for 316L stainless steel of 0.1% to 2.2%. Whereas in the density test, the density of the material tends to be constant at the energy variations carried out but has increased after implantation.
Image Contrast Enhancement in CT SCAN for Determining Cervical Cancer Area Dr. Khusnul Ain, S.T., M.Si.; Iis Purwanti; Bambang Haris
Indonesian Applied Physics Letters Vol. 3 No. 2 (2022): December
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i2.40952

Abstract

The quality of the contrast enhancement, which is deemed to be vague in contrast between one region and another, is a problem that many doctors face once identifying their patients with CT scan images. Image correction was used in this study to help doctors gain good CT scan images. In addition to reducing errors in the administering of radiation doses during treatment, accurate images are used to locate and assess the extent of cancer in patients. In this study, a computer application program to improve image contrast was created using the linear regression equation method. In this investigation, the cancer area is still being manually marked by doctors. Additionally, the proportion of the cancer area in the image that the doctor marked from the corrected image is calculated by comparing the ratio of cancer pixels to body pixels. The severity of the cancer is estimated using the proportion of the affected area. The error percentage for the average improvement in application performance is 0.15689%.
Parameters of Dental X-Ray Exposure in Dental Patient Absorbed Dosage Calculation Dr. Khusnul Ain, S.T., M.Si.; Dewi Masykuriyah; Betty Rahayuingsih
Indonesian Applied Physics Letters Vol. 3 No. 2 (2022): December
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i2.40953

Abstract

A dental x-ray is an x-ray used for checking teeth. During the inspection process, the patient will receive the dose resulting from the function of the formation of x-rays. To know the magnitude of the dose, the radiation measurement tool required, and any instances of the hospital do not have it. To see the magnitude of the dose, a radiation measurement tool was needed. In many cases, the hospital did not have it, so the hospital had to borrow instruments to measure the radiation. With these problems, the purpose of this research is to know the value exposed parameters and can calculate the weight of the absorbed dose without the use of tools to measure the radiation. Using the equation of exposure then, it can calculate exposed parameters and then know the absorbed dose received by the patients teeth. This research was conducted with fifteen tools and dental x-rays with various merk and types. The fifteen tools will have a value of expose parameters that is different because it depends on the voltage waveform, the filtration, and the beam size used. This research is done by placing the proper dose measurement tools under the CONUS cylinder. The radiation measurement tool will connect to the computer with ocean applications that read the dose number. In the process expose, wich in the set is expose time. The greater the time hence, the larger the dose also accepted. And obtained a value of expose parameters minimum of 2,109, while the value tells parameters maximum of 21,937.
Identification of Stroke with MRI Images Using the Learning Vector Quantization (LVQ) Method Based on Texture Features Endah Purwanti; Lellen Novia Hariono; Suryani Dyah Astuti
Indonesian Applied Physics Letters Vol. 3 No. 2 (2022): December
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i2.40958

Abstract

Research on the Identification of Stroke with MRI Imagery Using the Learning Vector Quantization (LVQ) Method Based on Texture Features has been carried out. This study aims to determine the program's best parameters and the highest accuracy level of the stroke identification program. This research was conducted at Haji Sukolilo Hospital - Surabaya by obtaining 57 images of stroke patients and 15 images of regular patients. The study used the intelligence of stroke, tumor, and standard images to determine each category's image characteristics. After knowing the differences in each class, the next process is digital image processing, followed by feature extraction used is the Gray-Level Co-occurrence matrix (GLCM) with four parameters: contrast, correlation, diversity, and homogeneity. These four parameters are the best input parameters with an intelligence rate of 0.100 with a decrease in intelligence rate of 0.100, so the best accuracy value for training is 74.97%, and test data is 78.60%. Regarding the program's ability to correctly identify 11 data from 14 data tested, the program is feasible to be used as a second opinion.
Design of a Fire Location Monitoring System Using Temperature and Smoke Detectors on Sea Ships Dr. Riries Rulaningtyas, S.T., M.T.; Indrawati Apriliyah; Winarno
Indonesian Applied Physics Letters Vol. 3 No. 2 (2022): December
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i2.40988

Abstract

A fire location monitoring system is designed in this study to determine the location of a fire on a ship. The inputs used are temperature detectors and smoke detectors. The fire location monitoring system is designed using raspberry pi as a mini pc, temperature detector, smoke detector, alarm and Lazarus as a user interface. The room used as the object of research consists of the control room, steering room, engine room and kitchen room. The type and number of detectors used vary depending on the design of the detector placement in each room. Based on the tests that have been carried out, the fire location monitoring system is able to detect a fire when the temperature or smoke detector is active. In addition, the system is able to show the location of detectors that actively detect fires accompanied by an alarm sound. The average performance of the system in detecting a fire is 93%.

Page 3 of 4 | Total Record : 35

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