Article Per Year (5 Year)
p-Index From 2019 - 2024
1.376
P-Index
This Author published in this journals
All Journal Jurnal Rekayasa Teknologi dan Sains Terapan Jurnal Teknik Mesin Mechanical Xplore Journal of Actuarial, Finance, and Risk Managment
Hamzah, Dadang Amir
President University
Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search

 1 
ANALISIS GAYA PADA SILINDER UNTUK ALAT ANGKUT TIPE HYDRAULIC SCISSOR LIFT KAPASITAS 1.000 KG Ana Fitriani; Muchammad Chusnan Aprianto; Mochamad Abdul Muftinur; Dadang Amir Hamzah
Jurnal Teknik Mesin Mechanical Xplore Vol 1 No 2 (2021): Jurnal Teknik Mesin Mechanical Xplore
Publisher : Mechanical Engineering Department Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (694.605 KB) | DOI: 10.36805/jtmmx.v1i2.1390

Abstract

Penelitian ini bertujuan untuk menganalisis gaya yang bekerja pada bagian silider pada perancangan alat angkut dengan tipe scissor lift yang saat ini banyak digunakan di dunia industri. Alat yang dirancang mampu mengangkat beban 1000 kg berdasarkan perhitungan menggunakan standar ANSI MH29.1-2012. Selain dirancang secara perhitungan manual, simulasi model juga digunakan untuk mengkonfirmasi hasil perhitungan secara manual. Berdasarkan hasil perhitungan diperoleh gaya silider pada posisi terendah sebesar 23.641,74 N. Selain itu, beban gaya silider pada posisi tertinggi sebesar 74.473,03 N. Berdasarkan hasil perhitungan tegangan manual yang didapat dapat disimpulkan bahwa tegangan yang dihitung tidak melebihi tegangan normal yang diijinkan sehingga desain scissor lift kapasitas 1.000 kg berdasarkan standar ANSI MH29.1-2012 dinyatakan bisa dibuat untuk difabrikasi.
On The Decay Energy of Lotka-Volterra Reaction-Diffusion Competition Model Dadang Amir Hamzah
Jurnal Rekayasa Teknologi dan Sains Terapan Vol 1 No 2 (2018): Jurnal Rekayasa Teknologi dan Sains Terapan
Publisher : LPPM, Sekolah Tinggi Teknologi DR. KHEZ Muttaqien

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this paper we consider Lotka-Volterra system. It describes competition of two species. We explore conditions which guarantee the coexistence of two populations in the system. Energy method is employed to derive the conditions. Numerical example is presented to support the theory.
Numerical Properties of Explicit and Semi-implicit Finite Difference Scheme for Fisher's Equation Dadang Amir Hamzah; Bayu Robiyana
Jurnal Rekayasa Teknologi dan Sains Terapan Vol 2 No 1 (2019): Jurnal Rekayasa Teknologi dan Sains Terapan
Publisher : LPPM, Sekolah Tinggi Teknologi DR. KHEZ Muttaqien

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper is devoted to analize the numerical finite difference scheme for Fisher’s equations. Fisher’s equation is a parabolic type of partial differential equations for modelling the population growth in mathematical ecology. An explicit and semi-implicit finite difference schemes are constructed with the analysis of their numerical properties such as accuracy, stability and convergency respect to energy norm. An efficient algorithm is contructed to simulate the Fisher’s equation. Some numerical tests are shown in a good agreement with the numerical properties (i.e the stability scheme)
On explicit finite difference scheme for Korteweg de Vries equation Dadang Amir Hamzah
Jurnal Rekayasa Teknologi dan Sains Terapan Vol 2 No 2 (2019): Jurnal Rekayasa Teknologi dan Sains Terapan
Publisher : LPPM, Sekolah Tinggi Teknologi DR. KHEZ Muttaqien

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this paper we apply a finite difference method to approximate the solution of KdV equation. We implement the scheme to the benchmark problem and compare with the exact solution. The results shows that the numerical solution are agree with the exact solution.
On Energy Bound of Burgers Fisher Equation Under Dirichlet Boundary Condition Dadang Amir Hamzah
Jurnal Rekayasa Teknologi dan Sains Terapan Vol 3 No 2 (2021): Jurnal Rekayasa Teknologi dan Sains Terapan
Publisher : LPPM, Sekolah Tinggi Teknologi DR. KHEZ Muttaqien

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

.In this paper the energy bound for the Burgers-Fisher equation under Dirichlet Boundary condition is determined. The boundedness of the reaction term plays a significant role in determining the energy bound. A number of inequalities are employed in deriving of the bound.
Predicting Bank Loan Application Approval using Logistic Regression Method Dadang Amir Hamzah; Akbar Jabbarudin; Haura Nizar Nabila; Muhammad Alfarisi; Salwa Fayza Alkatraz; Zievan Ananta Pahlevi
Jurnal Rekayasa Teknologi dan Sains Terapan Vol 4 No 1 (2022): Jurnal Rekayasa Teknologi dan Sains Terapan
Publisher : LPPM, Sekolah Tinggi Teknologi DR. KHEZ Muttaqien

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper provides an overview of the analysis that affects a bank based on existing data records. By using logistic regression, the dependent variable is a defining feature that determines whether there is an investment or not investment. On the other hand, the independent variables are analyzed by using exploratory data analysis to identify which characteristic has the highest correlation with the dependent variable. Based on selected features, the logistic regression model is created and used to generate the prediction data. The predicted data will provide an excellent approximation for the actual data.
Solvability Conditions of Integro-Differential Equation on Classical Risk Models with Exponential Claims via Laplace Transform Dadang Amir Hamzah; Ranny Febrianti
Jurnal Rekayasa Teknologi dan Sains Terapan Vol 4 No 2 (2023): Jurnal Rekayasa Teknologi dan Sains Terapan Vol. 4 No. 2
Publisher : LPPM, Sekolah Tinggi Teknologi DR. KHEZ Muttaqien

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the classical risk models, ruin probability can be determined by solving the initial value problem of the integro-differential equation. This equation is determined by considering the process that arises from the amount of the first claim in a classical risk model. The Laplace transform is applied to solve the integro-differential equation. The parameters that appear in the model such as loading factor, claim amount distribution, and number of claim parameters can influence the successful application of this method, that is for some value of parameters in the model, the Laplace transform can return the analytical solution of the integro differential equation. In this paper, the lower bound of the loading factor is determined. The claims amount distribution is divided into three different forms of exponential functions. The bound will guarantee the successful application of Laplace transforms in solving the integro-differential equation.
Identifying Fraud in Automobile Insurance Using Naïve Bayes Classifier Dadang Amir Hamzah; Annisa Sentya Hermawan; Shintya Jasmine Pertiwi; Syarifah Intan Nabilah
Journal of Actuarial, Finance, and Risk Management Vol 1, No 2 (2022)
Publisher : Journal of Actuarial, Finance, and Risk Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jafrm.v1i2.3971

Abstract

In this article, the Naïve Bayes Classifier is employed to detect fraud in automobile insurance. The Naïve Bayes classier is a simple probabilistic method based on the Bayes theorem. The data used in this article is determined from databricks.com which consists of 40 attributes and 1000 entries. The target attribute that will be predicted consists of two categories,” yes" or "no", which inform whether there is a fraud or not. The Data is split into training and testing with suitable proportions. Based on training data, the Naïve Bayes Classifier is applied to the testing data and returns the predictions data. Then, the prediction data is compared with the actual data to see the performance of the method. The result shows that the Naïve Bayes Classifier gives a good result to predict the insurance fraud with 78% accuracy, 67% precision, 3% of recall,  and  6% of F1 score  for “Yes”
Co-Authors Akbar Jabbarudin Ana Fitriani Annisa Sentya Hermawan Bayu Robiyana Haura Nizar Nabila Mochamad Abdul Muftinur Muchammad Chusnan Aprianto Muhammad Alfarisi Ranny Febrianti Salwa Fayza Alkatraz Shintya Jasmine Pertiwi Syarifah Intan Nabilah Zievan Ananta Pahlevi