Garuda - Garba Rujukan Digital

Simulating the Dynamics of Stock Price via PSO-Assisted Quantum Anharmonic Oscillator Model: Case of Jakarta Composite Index Tony Sumaryada; Anisah Rahajeng Kartika Sari; Agus Kartono
KONSTAN - JURNAL FISIKA DAN PENDIDIKAN FISIKA Vol 7 No 02 (2022): KONSTAN (Jurnal Fisika dan Pendidikan Fisika)
Publisher : Universitas Islam Negeri (UIN) Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/konstan.v7i02.203

The Jakarta Composite Index (JCI) stock price dynamics have been modeled by a quantum anharmonic oscillator and the PSO (Particle Swarm Optimization) Algorithm. Some of the constants that affect the probability density of return are the ability of the market makers to control the market (γ), the behaviour of contrarians and the trend followers to the price return (c), and the investor behaviour towards perceived volatility (k). The simulation results have produced the slightest error of the JCI at 8.36% for the opportunity density and 3.6% for the stock price returns. Forward prediction for the next three months using the exponential smoothing method resulted in a 17.77% error in the opportunity density of the stock price return and a 10.6% error in the stock price return. Based on those results, it can be concluded that the stock price dynamics can be modelled using an anharmonic quantum oscillator where the value of liquidity and volatility in the previous period affects the investor and the stock's price return in the next period.

Potential Indonesian Natural Compound as antiviral for COVID-19 targeting the RdRp: In silico Study Zahra Silmi Muscifa; Tony Sumaryada; Laksmi Ambarsari; Setyanto Tri Wahyudi
Molekul Vol 17 No 3 (2022)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jm.2022.17.3.7017

Research related to SARS-CoV-2 drugs is still ongoing. In this initial research, we perform a computational approach on SARS-CoV-2 inhibitors. RNA-dependent RNA polymerase (RdRp) is one of the functional proteins in SARS-CoV-2 that can be a target for drug development, which has an essential function in the viral replication process synthesizing the RNA genome of the virus. This study used the RdRp-Remdesivir complex structure from RCSB with ID PDB 7BV2, with a resolution of 2.5 Å. Currently, Remdesivir is under the clinical trial phase as a Covid-19 drug. In this study, we tested a thousand natural Indonesian compounds used as SARS-CoV-2 RdRp inhibitors obtained from the Indonesian natural compounds database (HerbalDB). The first stage of this computational analysis was pharmacophore modeling structure-based drug design. The natural compounds were analyzed based on their steric and electronic similarities to Remdesivir. A molecular docking simulation was then performed to obtain binding energy and bond stability to produce natural compounds that can inhibit RdRp SARS-CoV-2. The final stage was the molecular dynamics simulation that explored the conformational space of natural compounds and proteins. The ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) test was carried out on the five best compounds to obtain these natural compounds' computational pharmacology and pharmacokinetics. The simulation identified Sotetsuflavone (CID: 5494868) from Cycas revoluta, Grossamide (CID: 5322012) from Cannabis sativa, and 6-Hydroxyluteolin-6,7-disulfate (CID: 13845917) from Lippia nodiflora are the best compounds that can inhibit RdRp SARS-CoV-2. These potential compounds can then be tested in-vitro and in-vivo in the future.

Analysis of Secondary Particles Produced by 50-500 MeV Muon and Water Interaction using PHITS Monte Carlo Package Yani, Sitti; Hidayatuloh, Dadan; Sumaryada, Tony
Jurnal Ilmu Fisika Vol 16 No 1 (2024): March 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.1.63-70.2024

Secondary particles will always be generated in particle-to-matter interactions. The interaction of muons with matter produces various secondary particles. In this study, secondary particles produced by the interaction between muons with energies of 5, 50, 100, 200 and 500 MeV with water were analyzed using the PHITS Monte Carlo package. The muon source is placed on the surface of water that has a thickness of 1 km. The muography technique was applied by placed a detector at a depth of 1 km from the source. This detector records the secondary particles produced by the interaction. The results obtained show that this interaction produces secondary particles in the form of photons and neutrons in the detector. The number and energy of these photons and neutrons are strongly influenced by the initial energy of the muon. Muons with the lowest energy of 5 MeV produce more secondary particles than any other energy by a factor of 10. Low-energy muons travel slowly, allowing more interactions to occur and increasing the number of secondary particles in the detector. The energies of neutrons and photons in the detector are at most 3.76 MeV and 5.3 MeV, respectively.

Manchester system brachytherapy simulation using EGSnrc Monte Carlo simulation Octavia, Shella Salsa; Sumaryada, Tony; Yani, Sitti
Indonesian Physics Communication Vol 21, No 3 (2024)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.21.3.281-288

One type of cervical cancer treatment is brachytherapy using the Manchester system. In this study, isodose curves were analyzed on tissue phantoms irradiated using several types of radioactive sources with the Manchester system using Monte Carlo simulation, EGSnrc. This study used a homogeneous tissue phantom with dimension 10 × 10 × 10 m3. The Manchester system uses 2 ovoid and 3 tandem containing radioactive sources placed inside the phantom. The resulting isodose curves were combined and analyzed using MATLAB-based VDOSE GUI. The results showed that the dose distribution for each type of radioactive source at the reference point had different values, namely Cobalt-60 had a dose distribution at reference point A of 15.08% with a dose distribution at reference point B of 0%, Cesium-137 was 13.37% and 0%, Iridium-192 was 13.27% and 0%. The use of radioactive source types can be adjusted to the actual location of cervical cancer.

The effect of shielding material density in muon tomography Sitti Yani; Dadan Hidayatuloh; Tony Sumaryada
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 20, No 3 (2023): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v20i3.16809

In recent years, the use of high-penetrate cosmic-ray muons has been used in many applications to investigate the internal structure and composition of large material. The muon attenuation is based on multiple Coulomb scattering. This study was aimed to investigate the effect of massive shielding material composition in muon tomography. Muon with various energies between 1 MeV to 100 MeV was used as a source located directly above the shielding material with different density and composition. The output of scattered muon was scored in 2 and 5 km after the material. The simulation was performed using particle and heavy ion transport system (PHITS) software developed by Japan Atomic Energy Agency. The attenuation and scattering of the muon depends predominantly on the shielding material density. The muon energy and flux was decreased with increasing depth of the muon detector. This muon tomography can be applied in investigating the structure and internal composition of unknown materials such as volcanic structures in Indonesia.

Analysis of Secondary Particles Produced by 50-500 MeV Muon and Water Interaction using PHITS Monte Carlo Package Sitti Yani; Dadan Hidayatuloh; Tony Sumaryada
Jurnal Ilmu Fisika Vol 16 No 1 (2024): March 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.1.63-70.2024

Secondary particles will always be generated in particle-to-matter interactions. The interaction of muons with matter produces various secondary particles. In this study, secondary particles produced by the interaction between muons with energies of 5, 50, 100, 200 and 500 MeV with water were analyzed using the PHITS Monte Carlo package. The muon source is placed on the surface of water that has a thickness of 1 km. The muography technique was applied by placed a detector at a depth of 1 km from the source. This detector records the secondary particles produced by the interaction. The results obtained show that this interaction produces secondary particles in the form of photons and neutrons in the detector. The number and energy of these photons and neutrons are strongly influenced by the initial energy of the muon. Muons with the lowest energy of 5 MeV produce more secondary particles than any other energy by a factor of 10. Low-energy muons travel slowly, allowing more interactions to occur and increasing the number of secondary particles in the detector. The energies of neutrons and photons in the detector are at most 3.76 MeV and 5.3 MeV, respectively.

MONTE CARLO ANALYSIS OF FETAL DOSE DISTRIBUTION IN PREGNANCY FOR DIFFERENT FETAL AGES, BEAM LOCATION, BEAM ENERGY, AND FIELD SIZES Khusniatun Nikmah; Muhammad Vitro Ramadhan; Tony Sumaryada; Muhammad Fahdillah Rhani; Abd. Djamil Husin; Sitti Yani
Indonesian Physical Review Vol. 8 No. 1 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i1.406

Treatment with radiotherapy in pregnant women may occur due to some critical conditions. The dose given during the treatment process is not only received by the patient but can also be absorbed by the fetus which can affect its growth. Moreover, the radiation target is near the fetus such as the lung. This study aims to determine the dose distribution to the fetus with variations in fetal age (trimester 1, 2, and 3), beam energy, field size, and fetal distance to the target location (lung). The entire simulation utilized the Monte Carlo-based software EGSnrc-DOSXYZnrc which produced a 3-dimensional dose distribution on the virtual phantom. The simulated virtual phantom is a box with a size of 40×40×40 cm3 containing several materials, namely water, tissue, and lung. The size of the fetus is varied according to trimesters 1, 2, and 3. The beam is in the form of monoenergetic photons with energies of 3 MeV and 5 MeV emitted from above with a source to surface distance (SSD) of 48 cm. The field size was set at 5×5 cm2 and 8×8 cm2 on the phantom surface. The beam axis was located at a distance of 5 cm and 3 cm from the fetus. The results showed that the four variations performed affected the fetal dose, where the fetal dose increased considerably when the field size was enlarged and the beam axis was closer to the fetal position. The increase in fetal dose is also influenced by the increase in fetal age and beam energy. Meanwhile, the location of the beam below the lung causes an increased dose to the fetus due to the closer position of the beam to the fetus.

Title

Found 17 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 17 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 17 Documents
Search