Project-based learning model with real object in vocational school learning

Abstract

Learning in vocational schools is not enough just teacher-centered because the material presented does not only cover cognitive aspects, but also the affective and psychomotor aspects. In fact, there are still many teachers who use conventional modes, including learning technical drawings, so that student learning outcomes are low. The purpose of this research was to determine the learning outcomes of the PjBL model using real object media better than conventional methods in technical drawing subjects. A quasi-experiment was used in research with a nonequivalent control group design. The study population was 42 students of class X TP. The sampling technique uses cluster sampling. Class X TP1 as a control class with 23 students and Class X TP2 as an experimental class with 19 students. Data collection techniques using test techniques. The research instrument was a test sheet. The data analysis used t-test analysis with prerequisite tests, namely the normality test and homogeneity test. Based on testing the hypothesis test, it was concluded that the PjBL model with real objects gives better learning outcomes compared to conventional methods of learning outcomes of technical drawings.

Penerapan Model Pembelajaran Konstruktivis Berbasis Proyek Untuk Meningkatkan Keterampilan Literasi Siswa Kelas v Sekolah Dasar

“…Model PjBL dapat diterapkan pada pembelajaran abad 21 sebagai model pembelajaran aktif berorientasi siswa dengan tujuan pembelajaran berorientasi proyek. (Handoyono et al, 2020). Selain itu, pembelajaran PjBL berpengaruh positif terhadap pembelajaran siswa di sekolah.…”

How to perform a simultaneous optimization with several response variables

“…Composite or three-level factorial designs, and are generally second-order equations characterize these models and state that the Composite Central Design (CCD) model is the most widely used (Arifin Handoyono et al, 2020;Rajesh Ruban et al, 2020;Wang et al, 2020).…”

Scientific research trends about metaheuristics in process optimization and case study using the desirability function

“…In processes with multiple responses, you should model each of the responses you wish to optimize by a function which describes the so-called Response Surface, i.e., which allows you to estimate the value of the response within the range of variation defined by the variables involved in the study. These functions (multiple regression equations) are usually obtained from the analysis of the results of experiments designed by Box-Behnken, Central Composite Design or three-level factorial designs, and are usually second-order equations which characterize these models and state that the Central Composite Design (CCD) model is the most widely used (Handoyono et al, 2020;Rajesh Ruban et al, 2020;Wang et al, 2020).…”