Agus Kartono
Department Of Physics, Faculty Of Mathematical And Natural Sciences, IPB University (Bogor Agricultural University), Jalan Meranti, Building Wing S, 2nd Floor, Kampus IPB Dramaga, Bogor 16680

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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

Abstract

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.
Screening and Optimization Consortium Technique of the Bacillus megatherium and Saccharomyces cerevisiae Microbial Consortium for Ethanol Detection Nurdiani Nurdiani; Dyah Iswantini; Novik Nurhidayat; Wulan Tri Wahyuni; Agus Kartono
Jurnal Kimia Valensi Jurnal Kimia VALENSI Volume 9, No. 1, May 2023
Publisher : Syarif Hidayatullah State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jkv.v9i1.31506

Abstract

Determination of alcohol content is very important in the food and beverage industry. Biosensor is an alternative to measuring ethanol content. Alcohol biosensors with a single microbe still have a narrow measurement area at ethanol concentrations, so a microbial consortium is needed to widen the range of measured ethanol concentrations. Therefore, it is necessary to screen the microbes from Bacillus sp and S. cerevisiae which have the potential to produce alcohol dehydrogenase (ADH) enzymes and optimize the consortium technique that can provide the best response to oxidation currents. In the yeast microbial screening of 14 S. cerevisiae isolates and 5 Bacillus sp isolates, it can be concluded that for the 14 yeast S. cerevisiae isolates that have the potential to produce ADH enzymes, there is one isolate with the SCRF code. For the 5 bacterial isolates of Bacillus sp that have the potential to produce ADH enzymes, all Bacillus isolates with the code Bacillus megatherium 29/9/14, Bacillus megatherium 23/6/22, Bacillus 6, Bacillus 53, and Bacillus 55. Based on the oxidation current data, Bacillus megatherium 23 /6/22 produces the highest current compared to other Bacillus isolates. The consortium technique that provides the highest current is the method of mixing 1:1 (µL) microbial suspension in an Eppendorf container. Optimization of the consortium's biofilms using the Response Surface Method was produced at 10 days of age, pH 7.5, and 75 µL of microbial suspension dripping volume.
An Analysis of the Schrodinger Equation Model for the Distribution Rate of Stock Returns Agus Kartono; Hilda Meiranita Prastika Dewi; Irmansyah Irmansyah
Jurnal Ilmu Fisika Vol 15 No 2 (2023): September 2023
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.15.2.166-174.2023

Abstract

Quantum mechanics is a theory that describes the behavior of particles in the microscopic world. If the stock index can be considered an object on a macro scale, then every stock of a stock index is an object on a micro-scale. The stock price can be analogous to being a particle. This study aimed to obtain the density distribution of stock returns. Modeling stock returns distribution using a Schrodinger equation model with the assumption that stock is a particle in the good delta potential function so that stock returns as analogous to particles can be known. The Schrodinger equation can calculate stock returns expressed as an exponential distribution. The stock return density distribution using Schrodinger equation model has a higher kurtosis value than the kurtosis value in the normal distribution. The kurtosis value is the degree of the peak height of a distribution. The stock price data used is the stock price data of PT. United Tractors Tbk. and PT. Unilever Indonesia Tbk. during 2013-2018. This study shows the stock price of PT. Unilever Indonesia Tbk. has a more stable average stock price return with a more negligible risk of loss than the stock price of PT. United Tractors Tbk.
Pharmacokinetic-Pharmacodynamic Study of Metformin Using Oral Glucose Tolerance Test for the Treatment of Type 2 Diabetes Mellitus Agus Kartono; Yandra Yuantoro; Setyanto Tri Wahyudi; Ardian Arif Setiawan
Kappa Journal Vol 7 No 3 (2023): Desember
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v7i3.23953

Abstract

In this study, a pharmacokinetic-pharmacodynamic simulation will describe a system of glucose and insulin in the human body based on an oral glucose tolerance test with Metformin treatment. This is presented using the oral glucose tolerance test process by adding glucose absorbed function, insulin secretion in the pancreas, and metformin dose. This model can describe the rate of glucose concentration at the same time as Metformin administration. This model applies to subjects with impaired glucose tolerance (pre-diabetes) and type 2 diabetes mellitus. Experimental data are referenced from research that Møller and co-workers have carried out. This model can describe the reduction rate of glucose. This process reduces hepatic glucose production caused by the glucose absorption rate in peripheral tissues. This model also showed that adding a metformin dose could reduce the glucose concentration. The results of the present model show that the value of the deterministic coefficient (R2) has reached above 95%, which means that the results of the present model are good.
Pengembangan Model Neuron Berbasis Konduktansi untuk Deteksi Penyakit Parkinson Wanda Zagita; Erus Rustami; Agus Kartono
Kappa Journal Vol 7 No 3 (2023): Desember
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v7i3.23954

Abstract

Penyakit parkinson merupakan salah satu penyakit yang mengalami gangguan neurodegeneratif. Gangguan tersebut merupakan suatu kondisi patologis sel saraf di mana sel saraf akan terus kehilangan struktur atau fungsinya. Menghadapi semakin banyaknya penderita penyakit parkinson dan jumlah ahli yang sedikit, maka diperlukan suatu metode yaitu sistem yang profesional untuk mendukung pendeteksian awal pada penyakit tersebut. Pada penelitian ini, model direpresentasikan sebagai persamaan diferensial biasa yang digabungkan sehingga dapat menggambarkan tegangan aktifitas pada neuron Subtalamic Nuckleus (STN). Penelitian ini bertujuan untuk membandingkan hasil simulasi menggunakan model dasar Hodgin-Huxley (HH) dengan penambahan arus tambahan untuk mendeteksi adanya penyakit parkinson. Perhitungan model simulasi dilakukan dengan menggunakan metode Runge-Kutta orde keempat. Hasil simulasi deteksi menunjukkan bahwa efek dari penambahan arus sinaptik dan arus stimulasi otak dalam secara signifikan terdapat tegangan respons yang berbeda dengan model asli persamaan HH pada aktifitas neuron. Hal ini disebabkan oleh reseptor terletak pada neuron glutamatergik, sehingga neuron-neuron ini akan dihambat oleh peningkatan aktivitas arus sinaptik dan stimulasi otak dalam
DESIGN OF AN AUTOMATIC PENDULUM VELOCITY MEASURING DEVICE USING LIGHT SENSORS Rima Fitria Adiati; Astridea Salwa Haniyah; Agus Kartono; Heriyanto Syafutra
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.v8i1.404

Abstract

The instantaneous velocity of an object is the rate of change of its position over an infinitesimally small-time interval, making direct measurement with tools like stopwatches impractical. Using two LDR sensors paired with an Arduino, it is possible to measure such small-time intervals effectively. Understanding the maximum velocity of a mathematical pendulum is critical for distinguishing between harmonic and non-harmonic oscillations. To validate the accuracy of the sensor-Arduino system, several experiments were conducted, including comparisons between Arduino measurements and those obtained from a movie tracker, as well as variations in sensor separation distances, initial oscillation angles, and pendulum rope lengths. Results showed a high level of agreement between Arduino and movie tracker measurements for pendulum crossing times. Additionally, the sensor-Arduino system successfully differentiated the effects of varying each parameter while holding others constant. The system demonstrated an accuracy of 97.86% for velocity measurements at a release angle of 5°, with an average recorded velocity of 23.350 m/s. These findings confirm the sensor-Arduino system's capability to reliably measure the velocity of a mathematical pendulum.
Memaknai Penguasaan Diri, Sebuah Analisa Teori Kompleksitas Identitas Sosial dalam Gal 5:23 Kartono, Agustinus
Fides et Ratio : Jurnal Teologi Kontekstual Seminari Tinggi St. Fransiskus Xaverius Ambon Vol 7, No 1 (2022): JUNI
Publisher : Seminari Tinggi St. Fransiskus Xaverius Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.601 KB) | DOI: 10.47025/fer.v7i1.76

Abstract

Hidup bersama tidak pernah lepas dari penguasaan diri. Sikap ini dapat dimaknai melalui berbagai cara, salah satunya dalam terang Kitab Suci. Rasul Paulus dalam Gal 5:23 memberikan pemahaman baru terkait penguasaan diri dalam hidup manusia. Ia mengajarkan bahwa penguasaan diri tidak melulu berfokus pada kekuatan pribadi masing-masing orang tetapi penguasaan diri merupakan buah dari kehadiran Roh Kudus dalam diri orang tersebut. Dengan penguasaan diri yang seimbang, Rasul Paulus mampu mewartakan Kristus bagi banyak orang, tak terkecuali bagi jemaat non Yahudi. Artikel ini menunjukkan penguasaan diri rasul Paulus dengan analisa Teori Kompleksitas Identitas Sosial-Social Identity Complexity Theory (SICT) yang belum pernah diulas dalam publikasi ilmiah sebelumnya. Penguasaan diri rasul Paulus tampak dalam pilihan sikapnya sebagai pewarta yakni merger. Ia berhasil menggabungkan dua identitas, baik Yahudi maupun non Yahudi dan menanamkan pemaknaan baru di antara jemaat seperti 'ciptaan baru, saudara-saudari dan kamu semua adalah satu’ (Gal 3:28).
Model Kinetik Amyloid-Beta (Aβ) pada Penyakit Alzheimer Menggunakan Metode Euler dan Runge-Kutta Order ke-4 Cindyawati, Cindyawati; Ahmad, Faozan; Hardhienata, Hendradi; Kartono, Agus
Jurnal Ilmu Fisika Vol 17 No 2 (2025): September 2025
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.17.2.125-134.2025

Abstract

Alzheimer's disease (AD) is a neurological disease that causes decreased brain function. It is known that the accumulation of amyloid-beta (Aβ) plaques in the brain is one of the causes of AD. The accumulation of Aβ plaques in the brain is a dynamic process; it begins with the growth of amyloid-beta monomers (M1). Furthermore, amyloid-beta dimers (M2) and so on, so that this collected into oligomers (O), fibrils (P), and plaques in the brain. This disrupts the communication pathways between nerve cells. In this study, each process of amyloid-beta plaque accumulation is presented with a mathematical model in the form of an ordinary differential equation. Therefore, the coupled ordinary differential equations are given for the entire process of Aβ plaque accumulation. In this study, this coupled model is calculated using numerical methods, such as the Euler and fourth-order Runge-Kutta methods. The Euler methods is simple and efficient, but its accuracy is low and can accumulate errors with larger step sizes. The fourth-order Runge-Kutta methods offers higher accuracy, better numerical stability, and greater control over the accuracy of the solution. These two numerical methods have never been compared for estimating numerical solutions of coupled ordinary differential equations.