Perbandingan Integrasi Numerik Metode Simpson Tiga per Delapan dan Romberg Menggunakan Pemrograman Perl Hypertext Prepocessor

Difficult integral problems that cannot be solved analytically often require numerical approaches. PHP (Perl Hypertexr Prepocessor) programming has become one of the tools that can be used to solve numerical problems. This research aims to develop a numerical integration program using the Simpson 3/8 method and Romberg method on polynomial, exponential, and trigonometric functions with PHP programming, as well as to compare the efficiency of both methods based on relative error and execution time. Based on the implementation of the algorithms of both methods in PHP programming, the research results show that the average error for the Simpson 3/8 method and Romberg method are 0,013787% and 0,001356%, respectively. The comparison of errors between these two methods indicates that the Romberg method is 9,89% more accurate than the Simpson 3/8 method. However, in terms of program execution time, the Simpson 3/8 method requires less time compared to the Romberg method. The average execution time for the Simpson 3/8 method and Romberg method are 0,00117 seconds and 1,77811 seconds, respectively, and the comparison of execution time between these two methods shows that the Simpson 3/8 method is shorter than the Romberg method when using the same number of iterations.

Authors

Institutions

Publication Details

Journal
MAJAMATH Jurnal Matematika dan Pendidikan Matematika
Published
2024-10-21
DOI
https://doi.org/10.36815/majamath.v7i2.3470
Primary Topic
Decision Support System Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perbandingan Integrasi Numerik Metode Simpson Tiga per Delapan dan Romberg Menggunakan Pemrograman Perl Hypertext Prepocessor

Sudi Prayitno, Amrullah Amrullah, Ni Made Intan Kertiyani, Riska Rahmawati Hasan
MAJAMATH Jurnal Matematika dan Pendidikan Matematika
Decision Support System Applications
article

Perbandingan Integrasi Numerik Metode Simpson Tiga per Delapan dan Romberg Menggunakan Pemrograman Perl Hypertext Prepocessor

Sudi Prayitno, Amrullah Amrullah, Ni Made Intan Kertiyani, Riska Rahmawati Hasan
article en

Abstract

Difficult integral problems that cannot be solved analytically often require numerical approaches. PHP (Perl Hypertexr Prepocessor) programming has become one of the tools that can be used to solve numerical problems. This research aims to develop a numerical integration program using the Simpson 3/8 method and Romberg method on polynomial, exponential, and trigonometric functions with PHP programming, as well as to compare the efficiency of both methods based on relative error and execution time. Based on the implementation of the algorithms of both methods in PHP programming, the research results show that the average error for the Simpson 3/8 method and Romberg method are 0,013787% and 0,001356%, respectively. The comparison of errors between these two methods indicates that the Romberg method is 9,89% more accurate than the Simpson 3/8 method. However, in terms of program execution time, the Simpson 3/8 method requires less time compared to the Romberg method. The average execution time for the Simpson 3/8 method and Romberg method are 0,00117 seconds and 1,77811 seconds, respectively, and the comparison of execution time between these two methods shows that the Simpson 3/8 method is shorter than the Romberg method when using the same number of iterations.

MAJAMATH Jurnal Matematika dan Pendidikan MatematikaVol. 7(2)
University of Mataram (ID)
Openalex Percentile: Top 72%
Decision Support System Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.