Article Per Year (5 Year)
p-Index From 2020 - 2025
1.116
P-Index
This Author published in this journals
All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Zeta - Math Journal Journal of Fundamental Mathematics and Applications (JFMA) MANGGALI
Tafrikan, Mohamad
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Transportation

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
ANALYSIS OF THE EFFECT OF STUART NUMBER AND RADIATION ON VISCOUS FLUID FLOW Anggriani, Indira; Norasia, Yolanda; Tafrikan, Mohamad; Ghani, Mohammad; Widodo, Basuki
Journal of Fundamental Mathematics and Applications (JFMA) Vol 7, No 1 (2024)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jfma.v7i1.22481

Abstract

Computational fluid dynamics (CFD) is a numerical solution of fluid flow problems built from applied mathematical modeling. The problem of the flow of a viscous fluid which is influenced by a magnetic field gives rise to a boundary layer, from this boundary layer a dimensional building equation is formed. The governing equation is obtained from the continuity equation, momentum equation, and energy equation, then transformed into a non-dimensional equation by substituting non-dimensional variables and transformed into a similarity equation. The numerical solution to this problem uses the Keller Box method. The numerical simulation results show that the Stuart Number increases the velocity profile, while the temperature profile decreases. The effect of radiation parameters on the velocity profile did not change significantly, but the temperature profile decreased.
Extreme Learning Machine and Multilayer Perceptron Methods for Predicting COVID-19 Yustisio, Dheva; Siswanah, Emy; Tafrikan, Mohamad
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.14029

Abstract

The number of positive COVID-19 cases in Semarang City has increased over the last year. In anticipating and preparing proper health facilities, the government must predict the number of cases. This research applies Extreme Learning Machine (ELM) and Multilayer Perceptron (MLP) to indicate the number of positive COVID-19 cases. These newly developed methods are part of Artificial Neural Network (ANN). The type of data used in the study is secondary data. Covid-19 patient data was taken from the Semarang City Health Office. The data on the number of positive Covid-19 cases used is data from April 9, 2020 to December 15, 2022. The prediction results of the ELM and MLP methods were then compared to determine which method was more effective in predicting the number of positive Covid-19 cases. The results of the study showed that both methods had an error of less than 10%, meaning that both methods were feasible for predicting the number of positive Covid-19 cases. However, based on the Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE) values, the MLP method had a smaller error rate than the ELM method. In predicting the number of COVID-19 positive cases, ELM has 93.436331% accuracy, and MLP has 97.055838% accuracy. The best method for predicting the number of COVID-19 positive cases in Semarang City is Multilayer Perceptron (MLP).
ANALYSIS OF THE MAGNETOHYDRODYNAMICS NANOVISCOUS FLUID BASED ON VOLUME FRACTION AND THERMOPHYSICAL PROPERTIES Norasia, Yolanda; Tafrikan, Mohamad; Kamaluddin, Bhamakerti Hafiz
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (472.593 KB) | DOI: 10.30598/barekengvol17iss1pp0331-0340

Abstract

Fluid flow control is applied in engineering and industry using computational fluid dynamics. Based on density, fluids are divided into two parts, namely non-viscous fluids and viscous fluids. Nanofluid is a fluid that has non-viscous and viscous characteristics. Nanoviscos fluid flow is interesting to study by considering the effect of volume fraction and thermophysical properties. Nanoviscous fluid flow models form dimensional equations that are then simplified into dimensionless equations. Dimensionless equations are converted into non-similar equations using flow functions and non-similar variables. Nanoviscous fluids with Cu particles and water-based fluids have higher temperatures and faster velocity. Based on the effect of volume fraction, the velocity of the nanoviscous fluid moves slower, while the temperature of the nanoviscous fluid increases.
Deteksi Kartu Tanda Mahasiswa (KTM) Universitas Islam Negeri (UIN) Walisongo dengan Feature Matching Zulaikha, Zulaikha; Alfarabi, Aries Cahya; Aprilianto, Arief Rezky; Fuadi, Maulana Misbahul; Tafrikan, Mohamad; Hardiansyah, Bagus
Zeta - Math Journal Vol 8 No 1 (2023): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2023.8.1.1-6

Abstract

UIN Walisongo's student identity card (KTM) does not have much function other than just for student identification. Even if the function is increased, it can be used for absenteeism at lectures, borrowing books, or double as an automated teller card (ATM). Doing absences using KTM requires a feature matching method for matching the intended KTM image with the KTM that is searched for in the student database. The feature matching process is based on feature detection in images using various methods such as ORB and Scale Invariant Feature Transform (SIFT). We can perform the feature matching method using the Brute-Force method and the Fast Library Approximated Nearest Neighbor (FLANN) on Google Colab with Python. The results of feature matching on the FLANN method are more than the Brute-Force method. The validation of the two image feature matching was carried out using the Root Mean Square Error (RMSE) method, resulting in an average value of 10.424. The purpose of this article is to detect student ID cards with matching features in the image. The FLANN and Brute-Force feature matching methods can be used to detect KTM UIN in images. Keywords: feature matching, SIFT, FLANN, Brute-Force, RMSE
Meningkatkan Prestasi Olimpiade Sains Nasional (OSN), Kompetisi Sains Madrasah (KSM) 2022 Kota dan Kabupaten Semarang melalui Pembinaan Kepada Guru dan Siswa Habiburrohman, Muhammad; Oktaviani, Dinni Rahma; Tafrikan, Mohamad; Kurniawan, Prihadi
Manggali Vol 3 No 1 (2023): Manggali
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/manggali.v3i1.2529

Abstract

OSN (Olimpiade Sains Nasional) merupakan ajang lomba/kompetisi yang diselenggarakan oleh Kementrian Pendidikan dan Kebudayaan, kemudian KSM (Kompetisi Sains Madrasah) merupakan ajang lomba/kompetisi yang diselenggarakan oleh Kementrian Agama. Kedua kegiatan ini merupakan kegiatan tahunan yang bertujuan untuk menumbuhkembangkan suasana kompetitif yang sehat di kalangan siswa SD/MI, SMP/MTs, dan SMA/MA serta meningkatkan wawasan pengetahuan, kemampuan, kreatifitas serta menanamkan sikap disiplin serta kerja keras untuk menguasai ilmu pengetahuaan dan teknologi. Sebagai dosen yang peduli dengan penyelenggaran program pendidikan di tingkat dasar, ketua maupun anggota menyelenggarakan kegiatan pengabdian yakni berupa pembimbingan berkala dengan tujuan; 1) meningkatkan kemampuan guru sebagai pembimbing pertama di masing-masing sekolah; 2) meningkatkan kemampuan siswa yang mewakili sekolah agar mendapatkan hasil yang lebih baik dari tahun sebelumnya.
Laminar Viscous Fluid Flow with Micro-rotation Capabilities through Cylindrical Surface Norasia, Yolanda; Tafrikan, Mohamad; Ghani, Mohammad
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 4 (2022): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i4.9158

Abstract

Viscous fluid can micro-rotate due to collisions between particles that affect viscous fluid's velocity and temperature.This study aims to determine the effect of viscosity parameters, micro-rotation materials, and heat sources on fluid velocity and temperature. The model of the laminar flow equation for viscous fluid in this study uses the laws of physics, namely, the law of conservation of mass, Newton II, and Thermodynamics I. The formed dimensional equations are converted into non-dimensional equations by using non-dimensional variables. Then, the non-dimensional equations are converted into similarity equations using stream function and similarity variables. The formed similarity equation was solved numerically by using the Gauss-Seidel method. The results of this study indicate that the velocity and temperature of the viscous fluid flow can be influenced by the parameters of viscosity, micro-rotation material, and heat source. The presence of collisions between particles causes heat to cause an increase in the variance of viscosity parameters, micro-rotation materials, and heat sources. Therefore, the viscous fluid's velocity decreases and its temperature increases. 
Co-Authors Alfarabi, Aries Cahya Anggriani, Indira Aprilianto, Arief Rezky Basuki Widodo emy siswanah, emy Fuadi, Maulana Misbahul Ghani, Mohammad Habiburrohman, Muhammad hardiansyah, bagus Kamaluddin, Bhamakerti Hafiz Kurniawan, Prihadi Mohammad Ghani Norasia, Yolanda Oktaviani, Dinni Rahma Yustisio, Dheva Zulaikha Zulaikha