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All Journal Jurnal Ilmiah Profesi Pendidikan Advances in Management & Financial Reporting
Wirawan, Purna
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Economics, Econometrics & Finance Education

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Pengaruh Model Pembelajaran Kooperatif Tipe Team Games Tournament Terhadap Motivasi Dan Hasil Belajar Siswa SMA Plus Munirul Arifin NW Praya Tahun Pelajaran 2023/2024 Fahrurrozi, Ahmad; Fitriani, Iwan; Wirawan, Purna
Jurnal Ilmiah Profesi Pendidikan Vol. 9 No. 2 (2024): Mei
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v9i2.2154

Abstract

Motivasi yang tinggi dapat meningkatkan minat, semangat, dan keterlibatan siswa dalam proses belajar, sehingga berpotensi untuk meningkatkan hasil belajar mereka. Tujuan penelitian untuk mengetahui Pengaruh Model Pembelajaran Kooperatif Tipe Team Games Tournament Terhadap Motivasi Dan Hasil Belajar Siswa SMA Plus Munirul Arifin NW Praya Tahun Pelajaran 2023/2024. Metode penelelitian yang digunakan yaitu metode kuantitatif dengan desain penelitian eksperimen. Hasil penelitian ini menunjukkan bahwa terdapat 1) Ada pengaruh penerapan model pembelajaran kooperatif tipe team games tournament terhadap motivasi belajar Pendidikan Agama Islam, 2) Ada pengaruh penerapan model pembelajaran kooperatif tipe team games tournament terhadap hasil belajar Pendidikan Agama Islam, 3) Ada pengaruh penerapan model pembelajaran kooperatif Tipe Team Games Tournament terhadap motivasi dan hasil belajar Pendidikan agama Islam. Dapat disimpulkan bahwa model pembelajaran kooperatif Tipe Team Games Tournament secara simpultan memberikan pengaruh yang signifikan terhadap motivasi ataupun hasil belajar siswa/siswi.
Leveraging Predictive Analytics in Financing Decision-Making for Comparative Analysis and Optimization Wirawan, Purna
Advances in Management & Financial Reporting Vol. 1 No. 3 (2023): June - September
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/amfr.v1i3.209

Abstract

Purpose: This study explores the use of predictive analytics in financing decision-making, focusing on comparative analysis and optimization. The objective is to understand how predictive models enhance strategic planning and risk management in the financial sector. Research Design and Methodology: Employing a qualitative research approach, this study conducts a systematic literature review. Relevant scholarly articles, research papers, and reports from academic databases are analyzed to extract key findings and insights. Thematic analysis is utilized to identify recurring themes and trends. Findings and Discussion: The findings reveal that predictive analytics significantly improves credit risk assessment, investment management, customer segmentation, and fraud detection. By leveraging historical data and advanced algorithms, financial institutions can make more informed decisions, optimize asset allocation, and personalize customer interactions. However, challenges such as data quality, model interpretability, and regulatory compliance must be addressed to fully realize the benefits. Implications: The study highlights the need for robust data governance frameworks, ethical considerations, and interdisciplinary collaboration to ensure responsible use of predictive analytics in finance. Financial institutions are encouraged to invest in advanced analytics capabilities and foster a culture of data-driven decision-making. Future research should focus on emerging trends, real-world applications, and the development of ethical guidelines to support sustainable growth and innovation in the finance industry.
Co-Authors Ahmad Fahrurrozi, Ahmad Fitriani, Iwan