Implementasi Model Pembelajaran Cooperative Problem Solving Untuk Meningkatkan Kreativitas Dan Prestasi Belajar

Penelitian ini bertujuan untuk meningkatkan kreativitas dan prestasi belajar mahasiswa dengan menerapkan model pembelajaran Cooperative Problem Solving yang di dukung oleh Hierarki Konsep pada mata kuliah Pengantar Teknologi Informasi. Penelitian ini adalah Penelitian Tindakan Kelas yang dilakukan dalam dua siklus. Setiap siklus memiliki empat tahap: perencanaan, pelaksanaan, observasi, dan refleksi. Subjek penelitiannya adalah kelas Pendidikan Teknologi Informasi semester I FKIP Universitas Budidarma yang berjumlah 30 orang. Teknik pengumpulan data melalui pengamatan, wawancara, studi dokumen, kuesioner, dan tes. Teknik analisis yang digunakan dalam penelitian ini adalah deskriptif kualitatif. Berdasarkan hasil penelitian, dapat disimpulkan bahwa penerapan model pembelajaran cooperative problem solving yang di dukung oleh Hierarki Konsep dapat meningkatkan kreativitas dan prestasi pembelajaran mahasiswa pada mata kuliah Pengantar Teknologi Informasi pada mahasiswa Prodi Pendidikan Teknologi Informasi. Pada Siklus I, persentase kreativitas mahasiswa mencapai 60% dan meningkat menjadi 96, 67% pada Siklus II. Persentase penyelesaian aspek pembelajaran pengetahuan mahasiswa dalam Siklus I adalah 56, 67% dan meningkat menjadi 86, 67% pada Siklus II. Persentase penyelesaian aspek pembelajaran sikap mahasiswa pada Siklus I adalah 93, 33%, dan pada Siklus II meningkat menjadi 100%, dan penyelesaian aspek pembelajaran keterampilan mahasiswa meningkat dari 93, 33% menjadi 100%.

Space Spectral Time Fractional Finite Difference Method Along With Stability Analysis for Fractional Order Nonlinear Wave Equations

Space Spectral Time Fractional Finite Difference Method along with Stability Analysis for Fractional Order Nonlinear Wave Equations In this work, nonlinear partial differential equations governing the obscure phenomena of shallow water waves are discussed. Time fractional model is considered to understand the upcoming solutions on the basis of all historical states of the solution. A semi-analytic technique, Homotopy Perturbation Transform Method (HPTM) is used in conjunction with a numerical technique to validate the approximate solutions. With the aid of graphical interpretation, the favorable wave parameters, to avoid wave breaking are estimated. Afterwards, dynamical analysis of fractional order Schr dinger equation governing the optical wave propagation is reported in detail. The validity criteria for the application of the semi-analytic asymptotic methods are exploited. Comparison between the solutions obtained by the two asymptotic techniques, that is, the Fractional Homotopy Analysis Transform Method and the Optimal Homotopy Analysis Method is performed to select the most accurate technique for the stated problem. Space spectral analysis with integrating factor technique and time fraction finite difference method have been implemented to study the pressure waves propagating in bubbly fluids as well as nonlinear phenomena of plasma waves. Dynamical analysis of acoustic/pressure waves propagating in bubbly fluids is of great significance. Such flows arise in many engineering problems including sonochemistry, sonochemical reactors, cavitation around hydrofoils and ultrasonic propagation in medicine and biology. Fractional approach for modeling the propagation of the pressure waves in liquids containing a large number of tiny gas bubbles is proposed. Moreover, numerical solution of the fractional order Modified Korteweg-de Vries equation governing the dynamics is approximated using a novel space spectral time fractional finite difference tool. A spectral technique for space and a multi-step finite difference scheme for time are designed and implemented. The spatial spectral discretization error and the stability bounds are discussed. The nonlinear phenomena of plasma waves are well demonstrated with the aid of graphical analysis. Stability analysis of integer and fractional order KdV equations have been discussed quantitatively with the help of Evans function approximation.