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Muhammad Amin Paris
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Mathematics

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Pengaruh Penguasaan Mahasiswa pada Mata Kuliah Prasyarat Terhadap Mata Kuliah Persamaan Diferensial Di Jurusan Pendidikan Matematika Tahun Akademik 2013/2014 Muhammad Amin Paris; Hasby Assidiqi
Jurnal Pendidikan Matematika VOLUME 1 NOMOR 1 DESEMBER 2013
Publisher : UIN Antasari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18592/jpm.v1i1.99

Abstract

Persamaan Diferensial adalah mata kuliah yang tersaji pada semester genap, yaitu semester IV (empat). Mata kuliah ini dapat diprogramkan jika mata kuliah prasyarat seperti mata kuliah Kalkulus A, Kalkulus B dan Kalkulus Lanjutan sudah terselesaikan.Oleh karena itu penelitian ini bertujuan untuk mengetahui pengaruh penguasaan mahasiswa pada mata kuliah prasyarat terhadap mata kuliah persamaan diferensial di Jurusan PMTK Tahun Akademik 2013/2014. Berdasarkan hasil penelitian menunjukkan bahwa: Kalkulus A berpengaruh nyata terhadap kalkulus B, Kalkulus A berpengaruh nyata terhadap kalkulus Lanjutan dan persamaan diferensial, Kalkulus B berpengaruh nyataterhadap kalkulus Lanjutan dan persamaan diferensial, dan Kalkulus Lanjutan tidak berpengruh nyata terhadap persamaan diferensial.Kata Kunci: Mata Kuliah Prasyarat, Persamaan Diferensial
PERBANDINGAN ANTARA UNWEIGHTED LEAST SQUARES (ULS) DAN PARTIAL LEAST SQUARES (PLS) DALAM PEMODELAN PERSAMAAN STRUKTURAL (STUDI KASUS MODEL ANALISIS PRESTASI BELAJAR MAHASISWA TAHUN PERTAMA PROGRAM STUDI S1 MATEMATIKA FMIPA-INSTUTUT PERTANIAN BOGOR) Muhammad Amin Paris
Jurnal Pendidikan Matematika VOLUME 2 NOMOR 1 DESEMBER 2014
Publisher : UIN Antasari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18592/jpm.v2i1.1165

Abstract

Structural Equation Modeling (SEM) is one of multivariate techniques  that can estimates a series of interrelated dependence relationships from a number of endogenous and exogenous variables, as well as latent (unobserved) variables simultaneously. Estimation of Parameter methods that is often applied in SEM are Maximum Likelihood (ML), Weighted Least Squares (WLS), Unweighted Least Squares (ULS), Generalized Least Squares (GLS) and Partial Least Squares (PLS). This research aims to compare ULS method and PLS method in estimating parameter model of achievement of student learning in first year undergraduate Mathematics students, FMIPA, Bogor  Agricultural University ( IPB). This research use secondary and primary data which amounts to 112. The result of this research indicates that ULS method is more accurate than PLS methods. The analysis done with ULS method shows that motivation, capability and environmental had an effect to achievement of student learning.
Co-Authors Hasby Assidiqi Hasby Assidiqi Lia Fauziah Raihatul Gina Umar Musadi