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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 7 Documents
 1 
Search results for , issue "Vol 13, No 1 (2023): April" : 7 Documents clear
Kajian Literatur Fase Adiabatik untuk mempercepat Dinamika Kuantum Adiabatik pada Osilator Harmonik Mayasari Hutagalung; Iwan Setiawan; Dedy Hamdani
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 1 (2023): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v12i2.65252

Abstract

This research is a theoretical research by reviewing the literature that discusses the method of accelerating quantum dynamics adiabatically. This method for accelerating quantum dynamics is so- called the fast-forward method. This method was proposed by Masuda and Nakamura in 2010. In this method, the ground state and first excited state wave function is modified by adding an additional term to the wave function which is called the adiabatic phase. This is done so that the time-dependent Schrodinger equation remains fulfilled. The accelerating process is carried out using an adiabatic parameter that goes to zero. Fast-forward method is applied first to get the adiabatic phase. Furthermore, by reviewing the wave function at the ground state and first excited state we get the adiabatic phase which ensures that the harmonic oscillator can move from the initial state to the final state in a shorter time.
FT-IR Spectral Model of Polyester-Cotton Fabrics with Corona Plasma Treatment using Artificial Neural Networks (ANNs) Irwan Irwan; Valentinus Galih Vidia utra; Juliany Ningsih Mohamad
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 1 (2023): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v13i1.67837

Abstract

Corona plasma technology has been studied as a surface modification for the adhesive bonding of polymers. Although corona plasma (C.P.) is becoming more popular in nanotechnology, the influence of corona plasma treatment parameters on the FT-IR spectra is a problem that has yet to be addressed. The purpose of this study is to use an artificial neural network to study the influence of corona plasma (C.P.) treatment parameters on textile polymer and evaluate the ability of this model to predict FT-IR spectral information from FT-IR measurements. In this study, polymers were modified under various corona plasma treatment conditions. We investigated FT-IR spectra information of polymers from FT-IR measurements by varying corona plasma treatment variables. We used three input parameters in this study: wavenumber, voltage, and exposure time—two output parameters: fabric roughness with SEM according to the degree of smoothness and percent transmission with FT-IR. The novel aspect of this study is that we used ANN to model the plasma treatment on polyester-cotton fabrics and the FT-IR spectra accurately enough for the first time. According to this study, the model that used four nodes (neurons) in the hidden layer, three input parameters (x1,x2,x3), and 20 iterations is appropriate for determining fabric surface roughness (S.R.) and percent transmission (T%). Based on this research, the values of R2 for determining fabric surface roughness (S.R.) and percent transmission (T%) were 99.79 percent and 67.18 percent, respectively. The results showed that the developed ANNs could accurately predict the experimental data in detail. This study is significant because it uses artificial intelligence to calculate and simulate the FT-IR spectra and fabric surface roughness of plasma treatment on textile fabrics. This study's scientific application is that it will help experts, researchers, and engineers understand the implications of plasma on the chemical structure of textile materials.
Functionalized Copper Phthalocyanine and Zinc Phthalocyanine as a Coating Layer on the Sensitivity of QCM-Based VOCs Sensor Masruroh Masruroh; Rachmat Triandi Tjahjanto; Gancang Saroja; Dionysius J. D. H. Santjojo
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 1 (2023): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v13i1.69418

Abstract

The sensitivity of a QCM-based VOCs sensor with two kinds of a metal phthalocyanine, i.e., copper phthalocyanine (CuPc) and zinc phthalocyanine (ZnPc) was examined for various VOCs. The sensitivity of the two metal phthalocyanine was determined by the compatibility of the overlapped metal orbitals (Cu(II) dan Zn(II)) and the corresponding VOCs. The CuPc and the ZnPc layer were deposited on the quartz crystal oscillator by a vacuum evaporation method. The frequency shift and the sensitivity of the sensors with the two functional layers were tested using 5 VOCs: formaldehyde, propanol, ethanol, toluene, and ketone. The CuPc sensor showed the highest sensitivity to formaldehyde. On the other hand, the ZnPc was highly sensitive to ethanol.
The Modified Glas-Mosel Formula for Numerical Investigation of the Fusion Cross-Sections of (O-16)+(Ge-70,72,73,74,76) - A Preliminary Study Yacobus Yulianto; Zaki Su'ud
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 1 (2023): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v13i1.41577

Abstract

Many intense experimental and theoretical studies have been performed to understand the behavior of fusion reactions, especially related to the barrier height of the interacting nuclei. This preliminary study would discuss a variation of the applicability of the Glas-Mosel formula with a little bit of modification applied to heavy systems. The modified Glas-Mosel formula has been utilized to calculate the fusion cross-sections of (O-16)+(Ge-70,72,73,74,76). To perform the differential and the optimization numerics, the Finite Difference and Nelder-Mead methods were applied to Fortran script-code respectively to assist the computational process. Referring to the obtained results, it can be indicated that the obtained results are in positive agreement with the experimental data. In addition, the modified Glas-Mosel formula proposed in this study has the capability to explain the experimental results or in predicting the fusion cross-section of nuclei. Further investigations are needed to get the crucial data to serve as a basic reference.
Analisis Produktivitas Padi berdasarkan Indeks Kekeringan (NDWI dan NDDI) Lahan Sawah menggunakan Data Citra Sentinel-2A di Kecamatan Ambulu Bowo Eko Cahyono; Rahmadin Rahagian; Agung Thahjo Nugroho
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 1 (2023): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v13i1.70682

Abstract

Rice is almost a staple food source for the world's population. The State of Indonesia contributes the largest amount of rice productivity, especially in the province of East Java. Ambulu District is part of the province of East Java, which has experienced a decline in rice productivity. The decline in rice productivity is thought to be the result of agricultural land drought. The purpose of this study was to determine the correlation value of the drought index (NDWI and NDDI) with rice productivity. This research was conducted using remote sensing methods using the Sentinel-2A satellite from 2016 to 2020 during the rainy season. Sentinel-2A satellite data is in the form of images, which are then cropped and digitized on agricultural land. Furthermore, the data was processed using Arcgis Software to obtain NDWI (Normalized Defense Water Index) and NDDI (Normalized Defense Drought Index) values as land dryness parameters, which were classified into 5 classes. The correlation results of the NDWI value on rice productivity have a directly proportional relationship with an effect of 61.96% and 38.04% influenced by other factors. The results of the correlation of NDDI values on rice productivity have an inverse relationship with an effect of 68.68% and 31.32% influenced by other factors
Identifikasi Struktur Bawah Permukaan berdasarkan Analisis Data Gayaberat di Daerah Palembang dan sekitarnya sebagai Cekungan Potensi Hidrokarbon Eddy Mirnanda; Alfalah Adam Saputra; Lukman Arifin
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 1 (2023): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v13i1.65447

Abstract

Research has been conducted in the Palembang and surroundings areas using gravity data with the aim of knowing the basin structure that has hydrocarbon potential based on 2D and 3D modeling. The Palembang and surroundings areas is one of the regions that has hydrocarbon potential which is characterized by several Sub-Basins namely the South Jambi Sub-Basin, the North Palembang Sub-Basin, and the West Palembang Sub-Basin. The study area has a Complete Bouguer Anomaly value (CBA) between +21 mGal to +55 mGal. Based on 2D modeling, rocks with a density value of around 2.35 gr/cm3 are identified as reservoir zones located in the Talang Akar Formation with depths of around 4000 meters to 5000 meters below the surface. Rocks with density values between 2.35 gr/cm3 to 2.40 gr/cm3 are identified assealsin the form of shale as cover rocks that are good at trapping hydrocarbons. In 2D modeling there are fault structures in the form of normal faults and reverse faults that are identified based on analysis Second Vertical Derivative (SVD). Based on 3D gravity inversion modeling, the reservoirzone was found to be at a depth of about 4000 meters to 5000 meters below the surface which has a density value between 2.31 gr/cm3 to 2.53 gr/cm3.
Sistem Pengukuran Detak Jantung Menggunakan Arduino Dan Android Berbasis Fotopletismogram Nuryani Nuryani; Muhammad Farrel Akshya; Nanang Wiyono
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 1 (2023): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v13i1.73636

Abstract

Penelitian mengenai perancangan sistem pengukuran detak jantung berhasil dilakukan. Pengukuran detak jantung mandiri dapat membantu dalam menjaga kesehatan. Fotopletismogram atau PPG merupakan metode yang mampu memberi kemudahan dalam pengukuran detak jantung. Sensor PPG Easy Pulse Plugin adalah salah satu sensor PPG dengan modul pengondisi sinyal. Sensor PPG dihubungkan dengan Arduino untuk membaca sinyal dan memberikan perintah pengiriman secara nirkabel ke Android smartphone melalui Bluetooth. Aplikasi pada Android akan menampilkan sinyal dan hasil pengukuran detak jantung. Hasil pengukuran akan disimpan pada penyimpanan internal Android. Perhitungan detak jantung dilakukan berdasarkan interval waktu antar puncak pada sinyal PPG. Algoritma penentuan puncak sinyal PPG asli dapat dilakukan dengan memberikan kombinasi antara threshold dan batas interval pada sinyal PPG. Threshold terbaik adalah 2,13 V dan batas interval terbaik adalah 0,45 detik. Nilai kombinasi ini memberikan error rendah, yaitu 4,26%. Nilai sensitivitas, prediktif positif sekaligus.

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