PENGARUH PEMELIHARAAN SARANA PRASARANA DAN KOMPETENSI PEDAGOGIK GURU TERHADAP KUALITAS PROSES PEMBELAJARAN BERBASIS TEACHING FACTORY DI SMK MUHAMMADIYAH 1 MOYUDAN SLEMAN

Vivi Anita Purwanti, NIM.: 22104090025 (2026) PENGARUH PEMELIHARAAN SARANA PRASARANA DAN KOMPETENSI PEDAGOGIK GURU TERHADAP KUALITAS PROSES PEMBELAJARAN BERBASIS TEACHING FACTORY DI SMK MUHAMMADIYAH 1 MOYUDAN SLEMAN. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

	Text (PENGARUH PEMELIHARAAN SARANA PRASARANA DAN KOMPETENSI PEDAGOGIK GURU TERHADAP KUALITAS PROSES PEMBELAJARAN BERBASIS TEACHING FACTORY DI SMK MUHAMMADIYAH 1 MOYUDAN SLEMAN) 22104090025_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf - Published Version Download (1MB)
	Text (PENGARUH PEMELIHARAAN SARANA PRASARANA DAN KOMPETENSI PEDAGOGIK GURU TERHADAP KUALITAS PROSES PEMBELAJARAN BERBASIS TEACHING FACTORY DI SMK MUHAMMADIYAH 1 MOYUDAN SLEMAN) 22104090025_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf - Published Version Restricted to Registered users only Download (1MB) | Request a copy

Abstract

This research was motivated by several issues regarding the implementation of "teaching factory"-based learning at SMK Muhammadiyah 1 Moyudan Sleman, including suboptimal preventive maintenance of facilities and infrastructure, as well as challenges related to educator competence and staffing ratios across certain specialization programs. This study aims to determine the partial and simultaneous effects of infrastructure maintenance and teacher pedagogical competence on the quality of teaching factory based learning processes at SMK Muhammadiyah 1 Moyudan Sleman. This quantitative research was conducted at SMK Muhammadiyah 1 Moyudan, with a sample of 143 students from a total population of 223 grade eleven students. Sampling was conducted using a stratified random sampling technique with the help of Microsoft Excel's randbetween function based on student ID numbers. The independent variables were infrastructure maintenance (X1) and teacher pedagogical competence (X2), while the dependent variable was the quality of the learning process (Y). The data collection instruments used questionnaires and documentation. Meanwhile, the data analysis technique used descriptive and parametric statistics with the help of SPSS 26 and SPSS 27(Statistical Product and Social Sciences) software. The results of the F-test analysis showed that infrastructure maintenance (X1) and teacher pedagogical competence (X2) simultaneously had a positive and significant effect on the quality of the learning process (Y), as evidenced by the calculated F-value of 119.179 with a significance level of 0.000 < 0.05. Furthermore, the results of the partial t-test indicated that teacher pedagogical competence (X2) provided a more dominant contribution to driving the quality of the learning process than infrastructure maintenance (X1), with regression coefficients of 1.481 and 0.126, respectively. The validity of the t-test significance was established by applying Robust Standard Errors to eliminate the impact of heteroskedasticity without altering the regression coefficient values or R². The relationship between these variables is formulated in a multiple linear regression equation, namely Y = 18.979 + (0.126)X1 + (1.481)X2 + e. The coefficient of determination (

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