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Joyful Learning for Enhancing Pedagogical Competence of Islamic Education Teachers in Building Meaningful and Character-Based Learning Khotimah, Husnul; Priyanto, Eko; Ahmad, Aghniawati
Jurnal Praktik Baik Pembelajaran Sekolah dan Pesantren Vol. 4 No. 03 (2025): Forthcoming Issue - Jurnal Praktik Baik Pembelajaran Sekolah dan Pesantren
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/pbpsp.v4i03.1147

Abstract

This literature review explores the role of joyful learning in enhancing the pedagogical competence of Islamic education teachers to promote meaningful and character-based learning. Drawing on various scholarly sources, the study identifies joyful learning strategies such as interactive discussions, educational games, storytelling, and multimedia as practical tools for improving instructional planning, classroom management, and student assessment. The review also emphasizes the relevance of Vygotsky’s social constructivist theory, especially scaffolding and social interaction, in supporting joyful and engaging learning experiences. Furthermore, it highlights challenges such as limited professional development and low digital literacy among teachers that may hinder the practical application of joyful learning. The study concludes that joyful learning contributes to pedagogical improvement and the formation of students' moral and spiritual character. Recommendations include the need for systematic training and institutional support to help Islamic education teachers implement joyful learning strategies more effectively in their classrooms.
Implementasi Projek Penguatan Profil Pelajar Pancasila Dalam Meningkatkan Kemampuan Berpikir Kreatif Peserta Didik Puspitasari, Winarni; Priyanto, Eko; Fajar, Wildan Nurul; Wati, Ratna Kartika
CIVICUS : Pendidikan-Penelitian-Pengabdian Pendidikan Pancasila dan Kewarganegaraan Vol 13, No 2 (2025): September 2025
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/civicus.v13i2.29714

Abstract

Penelitian ini berjudul “Implementasi Projek Penguatan Profil Pelajar Pancasila dalam Meningkatkan Kemampuan Berpikir Kreatif Peserta Didik di SMP Muhammadiyah Banyumas”. Latar belakang penelitian didasarkan pada fenomena rendahnya kemampuan berpikir kreatif peserta didik akibat kemajuan teknologi, keterbatasan sumber daya manusia, serta menurunnya sikap toleransi. Upaya untuk menumbuhkan nilai karakter, khususnya dimensi kreatif, direalisasikan melalui implementasi Projek Penguatan Profil Pelajar Pancasila (P5). Penelitian ini menggunakan metode kualitatif deskriptif dengan pendekatan studi kasus. Lokasi penelitian adalah SMP Muhammadiyah Banyumas, Kecamatan Banyumas, Kabupaten Banyumas. Subjek penelitian terdiri dari Kepala Sekolah, Koordinator P5, Guru Pendidikan Pancasila, dan peserta didik. Data dikumpulkan melalui wawancara mendalam, observasi partisipatif, dan dokumentasi. Hasil penelitian menunjukkan bahwa implementasi P5 dilakukan melalui beberapa tahapan yang terstruktur, mulai dari perencanaan, pelaksanaan, hingga evaluasi. Kegiatan P5 terbukti mendorong peserta didik untuk berpartisipasi aktif, menumbuhkan sikap kolaboratif, serta mengembangkan kreativitas melalui berbagai proyek berbasis nilai Pancasila. Kendati demikian, penelitian ini juga menemukan beberapa kendala, antara lain keterbatasan sarana prasarana, perbedaan karakter siswa, serta konsistensi guru dalam mengintegrasikan nilai Pancasila ke dalam proses pembelajaran. Penelitian ini memberikan kontribusi penting bagi pengembangan praktik pendidikan karakter di sekolah menengah serta menjadi rujukan dalam implementasi P5 untuk meningkatkan kreativitas peserta didik.This study is entitled “Implementation of the Pancasila Student Profile Strengthening Project to Enhance Students’ Creative Thinking Skills at SMP Muhammadiyah Banyumas.” The background of this research is the low level of students’ creative thinking skills, which are influenced by the rapid development of technology, limited human resources, and a decline in tolerance. One effort to foster character values, particularly the dimension of creativity, is realized through the implementation of the Pancasila Student Profile Strengthening Project (P5). This research employed a descriptive qualitative method with a case study approach. The study was conducted at SMP Muhammadiyah Banyumas, Banyumas District, Banyumas Regency. The research subjects included the school principal, P5 coordinator, civic education teacher, and students. Data were collected through in-depth interviews, participatory observation, and documentation. The findings revealed that the implementation of P5 was carried out through several structured stages, ranging from planning, implementation, to evaluation. The project activities successfully encouraged students to participate actively, develop collaborative attitudes, and enhance creativity through various projects based on Pancasila values. However, the study also identified several challenges, such as limited infrastructure, differences in students’ character, and teachers’ consistency in integrating Pancasila values into the learning process. This study contributes significantly to the development of character education practices in secondary schools and serves as a reference for implementing P5 to improve students’ creativity.
Implementasi Model Pembelajaran Value Clarification Technique untuk Menanamkan Nilai-Nilai Kemanusiaan di SMP Gunungjati 1 Purwokerto Fungkiana, Heni; Fajar, Wildan Nurul; Priyanto, Eko; Wati, Ratna Kartika; Sadeli, Elly Hasan
CIVICUS : Pendidikan-Penelitian-Pengabdian Pendidikan Pancasila dan Kewarganegaraan Vol 13, No 2 (2025): September 2025
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/civicus.v13i2.33809

Abstract

Penelitian ini bertujuan untuk mendeskripsikan implementasi model Value Clarification Technique (VCT) dalam menanamkan nilai kemanusiaan pada siswa SMP Gunungjati 1 Purwokerto. Pendekatan yang digunakan dalam penelitian ini adalah kualitatif deskriptif dengan teknik pengumpulan data melalui wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa model VCT diterapkan melalui perencanaan modul ajar berbasis studi kasus dan refleksi nilai, pelaksanaan diskusi klarifikasi, serta evaluasi sikap siswa. Model VCT efektif meningkatkan pemahaman dan pengamalan siswa tentang nilai sila kemanusiaan yang adil dan beradab dan membentuk sikap empati. Kendala yang dihadapi meliputi keterbatasan waktu dan adaptasi siswa terhadap pembelajaran reflektif. Model VCT direkomendasikan sebagai strategi alternatif dalam pembelajaran Pendidikan Pancasila untuk menanamkan nilai secara kontekstual dan bermakna.This study aims to describe the implementation of the Value Clarification Technique (VCT) model in instilling humanistic values among students at SMP Gunungjati 1 Purwokerto. The research employed a descriptive qualitative approach, with data collected through interviews, observations, and documentation. The findings indicate that the VCT model was implemented through three key stages development of case study-based teaching modules with value reflection, implementation of clarification discussions, and evaluation of students' attitudinal changes. The VCT model effectively enhanced students' understanding and practice of the principle of "A Just and Civilized Humanity" while fostering empathetic attitudes. Implementation challenges included time constraints and students' adaptation to reflective learning. The study recommends VCT as an alternative strategy for contextual and meaningful value internalization in Pancasila Education.
Enhancing Housing Price Prediction Accuracy Using Decision Tree Regression with Multivariate Real Estate Attributes Utomo, Ahmar Dwi; Hayadi, B Herawan; Priyanto, Eko
International Journal of Informatics and Information Systems Vol 7, No 4: December 2024
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v7i4.226

Abstract

The real estate sector functions as a critical barometer of a nation’s economic performance; however, its inherent volatility and intricate pricing mechanisms often hinder precise valuation—particularly in developing urban markets. In the context of Indonesia, where the property industry contributes substantially to national GDP, deriving fair and data-driven housing price estimates remains a persistent challenge. Traditional appraisal methods, which rely predominantly on subjective human judgment, frequently fall short in reflecting market dynamics accurately. This research seeks to construct an interpretable machine learning framework for predicting residential housing prices by employing a Decision Tree Regression (DTR) model. The DTR method was chosen for its transparent and hierarchical structure, allowing for a clear understanding of how individual property characteristics affect price outcomes. The study utilizes a public dataset from Kaggle containing key housing attributes, including land area, building size, number of rooms, and location variables. The methodological steps encompass data preprocessing (cleaning and encoding using One-Hot Encoding), data partitioning into training and testing sets with an 80:20 ratio, and model performance evaluation using standard regression metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and the Coefficient of Determination (R²). The model attained an R² value of 0.385, suggesting that the selected features explain approximately 38.5% of the variance in housing prices. While this indicates moderate predictive capability, the DTR model offers valuable interpretive insights—particularly in identifying land area as the most influential predictor of price. The findings highlight that interpretable machine learning approaches can serve as effective analytical tools for property valuation in emerging markets, balancing predictive accuracy with transparency. Moreover, this study lays the groundwork for the future development of ensemble and hybrid predictive models, as well as the integration of AI-based analytics into decision-support systems for property valuation, investment forecasting, and urban development planning in Indonesia’s evolving real estate landscape.