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PERBANDINGAN METODE ADAPTIVE SIMPSON, TRAPESIUM, GAUSS-LEGENDRE DAN INTEGRASI BOOLE MENYELESAIKAN INTEGRAL BERDASARKAN NILAI GALAT

DONI CANRA ROFIKAR H, - (2022) PERBANDINGAN METODE ADAPTIVE SIMPSON, TRAPESIUM, GAUSS-LEGENDRE DAN INTEGRASI BOOLE MENYELESAIKAN INTEGRAL BERDASARKAN NILAI GALAT. Skripsi thesis, UNIVERSITAS ISLAM NEGERI SULTAN SYARIF KASIM RIAU.

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Abstract

Integral problems are often difficult to work out analytically. Solving this integral can be done with the help of computers with existing methods. Here we use the Adaptive Simpson method, the Trapezoidal method, the Gauss-Legendre method and the Boolean numerical integration method. From the research results obtained the right approach to solve these equations to get efficient and precise results obtained by the Trapezoid, Gauss-Legendre, and Boole methods cannot get numerical integral results which have a small error rate in a few iterations. While the Adaptive Simpson method results in a numerical integral which has a small error rate in a few iterations. Keywords: Numerical integration, numerical analysis, numerical methods, Boolean Rule, Adaptive Simpson method, Gauss-Legendre method, Trapezoid method.

Item Type: Thesis (Skripsi)
Subjects: 500 Ilmu-ilmu Alam dan Matematika > 510 Matematika
000 Karya Umum
Divisions: Fakultas Sains dan Teknologi > Matematika
Depositing User: fsains -
Date Deposited: 28 Jan 2022 01:42
Last Modified: 28 Jan 2022 01:43
URI: http://repository.uin-suska.ac.id/id/eprint/58728

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