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THE INFLUENCE OF PRACTICE FIELD EXPERIENCE (PPL) AND INTEREST IN BECOMING A TEACHER ON TEACHER READINESS IN STUDENTS OF MUHAMMADIYAH UNIVERSITY PROF. Dr. HAMKA Aryani, Yenni; Purwana, Dedi; Marsofiyati
Jurnal Pendidikan Ekonomi, Perkantoran, dan Akuntansi Vol. 4 No. 1 (2023): Jurnal Pendidikan Ekonomi, Perkantoran, dan Akuntansi
Publisher : Faculty of Economics and Business, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jpepa.0401.21

Abstract

This study aims to determine the effect of Field Experience Practice (PPL) and interest in becoming a teacher on readiness to become a teacher for students of the 2017 English Education Study Program, Muhammadiyah University Prof. Dr. Hamka. This research was conducted for 4 months starting from September 2021 to December 2021. The method used in this research is a survey method. The respondent selection technique used Proportional Stratified Random Sampling so that a sample of 147 respondents was obtained from students of the 2017 English Education Study Program, Universitas Muhammadiyah Prof. Dr. Hamka. Data collection was carried out through distributing questionnaires using a Likert scale and also using secondary data in the form of student PPL results. Based on the results of the research conducted, it was found that Field Experience Practice (PPL) had a positive and significant effect on Readiness to Become a Teacher. Interest in becoming a teacher has a positive and significant effect on readiness to become a teacher. In accordance with the research hypothesis.
Peran Program Linear dalam Pengambilan Keputusan di Tengah Keterbatasan harahap, Amin; Nuraisya, Nuraisya; Aryani, Yenni; Rambe, Muthia Yusuf
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.7377

Abstract

Linear programming (LP) plays a significant role as an analytical tool in environments where decision-making must be conducted under resource constraints. As an optimization method, LP models problems by defining decision variables, objective functions, and constraints to identify the most efficient solutions within given limits. In managerial and operational contexts, LP assists in allocating scarce resources effectively to maximize outcomes such as profit or operational efficiency, enabling stakeholders to make objective, data-driven choices. Recent applications of LP span from business planning to decision support systems that optimize promotional strategies, demonstrating how structured mathematical models can guide complex decision processes. Moreover, LP is integrated into educational contexts to strengthen analytical reasoning, helping learners link theoretical formulations with practical economic choices. This article synthesizes findings from recent literature to illustrate how LP fosters systematic decision-making, enhances clarity in trade-offs between alternatives, and supports rational choices in constrained environments. The reviewed studies confirm that LP not only serves as a computational optimization technique but also reinforces structured thinking essential for decision quality when resources are limited. Hence, LP remains a valuable method for both practitioners and scholars in decision sciences.