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All Journal Paradigma Jurnal Ekonomi, Manajemen, Akuntansi INTERACTION: Jurnal Pendidikan Bahasa
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Universitas Bina Sarana Informatika
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Strategi Pengembangan Karir Dosen Dan Dampaknya Terhadap Peningkatan Kualitas Pembelajaran Fara Mutia
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 3 No. 3: Maret 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v3i3.3187

Abstract

Setiap dosen mempunyai hak untuk dapat mengembangkan karirnya diperguruan tinggi. Peningkatan karir dosen akan membawa kepuasan dosen sehingga akan berdampak pada peningkatan kualitas pembelajaran. Dosen sebagai pendidik profesional dan ilmuwan dengan tugas utama mentransformasikan, mengembangkan, dan menyebarluaskan ilmu pengetahuan dan teknologi melalui pendidikan, penelitian, dan pengabdian kepada Masyarakat. Kualitas pembelajaran tidak dapat dipisahkan dari kualitas dosennya. Demikian juga dengan kualitas dosen akan menetukan kualitas lulusan. Penelilitian ini bertujuan untuk menganalisa strategi pengembangan karir dosen dan dampaknya terhadap peningkatan kualitas pembelajaran. Penelitian ini menggunakan metode penelitian kualitatif berdasarkan kajian literatur atau riset kepustakaan. Hasil penelitian mengatakan bahwa bahwa dalam pengembangan dosen diperlukan strategi agar karir dosen dapat terus berkembang. yang menjadikan para dosen lebih termotivasi melaksankankan tridharma perguruan tinggi. Sehingga kualitas pembelajaran menjadi meningkat dan bermuara pada lulusan yang berkualitas. Adapun kompetensi yang harus dimiliki oleh dosen adalah: kompetensi pedagogik, kompetensi kepribadian, kompetensi sosial, dan kompetensi profesional yang diperoleh melalui pendidikan profesi, pelatihan, dan pengalaman profesional
Analysis of CSR Models in Improving English Recount Text Reading Skills in Karya Vocational High Schools Aprillia; Sinta Rukiastiandari; Fara Mutia; Luthfia Rohimah; Endang Sri Andayani
INTERACTION: Jurnal Pendidikan Bahasa Vol. 13 No. 1 (2026): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Program Studi Pendidikan Bahasa Inggris, Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/interactionjournal.v13i1.4892

Abstract

Reading comprehension is one of the essential skills in English language learning at the high school level at Pendidikan Karya Tangerang. Based on initial observations, it was found that reading comprehension skills, especially in recount texts, are still relatively low. This is characterized by difficulties in understanding the main ideas, detailed information, vocabulary, and the sequence of events in the text. This study aims to analyze the application of the Collaborative Strategic Reading (CSR) model in improving reading comprehension skills in English recount texts.This study used a pre-test and post-test control group design. The research sample consisted of 60 eleventh-grade students, divided into two groups: an experimental group (30 students) taught using the CSR model and a control group (30 students) taught using conventional learning methods. The results of the pre-test and post-test control showed a significant difference in reading comprehension ability between the experimental class (82,40) and the control class (72,10), indicating that the increase in scores in the experimental class was greater than in the control class. The N-Gain score for the experimental class was in the medium-high category (0,54), while the control class (0,28) was in the medium category.These findings indicate that the CSR model is effective in improving students' English recount text reading comprehension skills. This study is expected to serve as a reference for English teachers in implementing innovative and effective collaborative learning models
Predicting Graduation Outcomes: Decision Tree Model Enhanced with Genetic Algorithm Sinta Rukiastiandari; Luthfia Rohimah; Aprillia Aprillia; Fara Mutia
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3165

Abstract

This research aims to improve the accuracy of predicting student permit results in the digital era by utilizing machine learning techniques. The main focus is the use of a Decision Tree (DT) model optimized with a Genetic Algorithm (GA) to overcome the limitations of accuracy and testing of conventional methods. This research began with collecting student academic data, followed by preprocessing to eliminate incompleteness and organize the data format. The DT model is then built and optimized with GA, which is inspired by biological evolutionary processes to improve feature selection and parameter tuning. The results show a significant increase in prediction accuracy, from 86.19% to 87.68%, and an increase in the Area Under Curve (AUC) value from 0.755% to 0.788%. This research not only proves the effectiveness of GA integration in improving DT models, but also paves the way for the application of evolutionary techniques in educational data analysis and other fields. The main contributions of this research include the development of more accurate prediction models and practical applications in educational contexts, with the hope of assisting educational institutions in making more informed decisions for their students.
Co-Authors Aprillia Aprillia aprillia Endang Sri Andayani Rohimah, Luthfia Sinta Rukiastiandari