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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.
Penggunaan Media Quizizz untuk Meningkatkan Minat Belajar Peserta Didik Pada Materi Hubungan Pancasila dengan UUD 1945 di SMK Negeri 1 Bancak Velenita, Nandisa; Faridli, Efi Miftah; Priyanto, Eko
Jurnal Pendidikan, Sains Dan Teknologi Vol. 4 No. 3 (2025): Juli-September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpst.v4i3.3407

Abstract

The purpose of this study is to find out the Use of Quizizz Media  to Increase Students' Learning Interest in the Material on the Relationship between Pancasila and the 1945 Constitution at SMK Negeri 1 Bancak. One of the subjects in Indonesia is Pancasila Education. Topics that will be discussed in the Pancasila Education subject include Pancasila as the basis of the Indonesian state, the 1945 Constitution of the Republic of Indonesia as a source of law, and the Unitary State of the Republic of Indonesia which explains how Indonesia became a republic-shaped state. The purpose of this study is to effectively use Quizizz to increase students' interest in learning in the subject of the relationship between Pancasila and the 1945 Constitution at SMK Negeri 1 Bancak. The population in this study is 39 students in class X TKR A at SMK 1 Bancak. This study used a sample of 39 students of class X TKR A at SMK Negeri 1 Bancak. The data collection methods used include observation, interviews and documentation. The data analysis method uses data triangulation which includes data reduction, data presentation and drawing conclusions or data verification. The results of this study show that the Quizizz media  at SMK Negeri 1 Bancak can increase students' interest in learning in the material on the relationship between Pancasila and the 1945 Constitution because it presents interactive, fun, and competitive learning. The game feature and live feedback from Quizizz make students more enthusiastic, focused, and active in understanding the material, making the learning process more interesting and less monotonous. Given the importance of technology skills in the modern world, students are advised to continue honing their skills in using other learning technology platforms.
Enhancing Clustering Performance through Benchmarking of Dimensionality Reduction Techniques on Educational Data Priyanto, Eko; Berlilana, Berlilana; Tahyudin, Imam
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.4297

Abstract

This study evaluates the effectiveness of dimensionality reduction techniques in enhancing clustering performance using a tracer study dataset of 500 alumni from UMNU Kebumen, containing 58 variables. The objective was to identify the optimal combination of dimensionality reduction and clustering methods for uncovering patterns in alumni profiles, job search strategies, and employment outcomes. Principal Component Analysis (PCA), Non- Negative Matrix Factorization (NMF), t-Distributed Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation and Projection (UMAP) were applied, followed by clustering using K-Means, DBSCAN, and Hierarchical Clustering. The findings revealed that NMF achieved the highest clustering quality, particularly with K- Means and Hierarchical Clustering, outperforming PCA. NMF also demonstrated superior compactness with a Calinski-Harabasz Index of 287.96, compared to 125.88 for PCA. While t-SNE and UMAP delivered competitive results, their computational times of 245.8 and 76.5 seconds, respectively, made them less practical for large datasets. The novelty of this study lies in its comprehensive evaluation of dimensionality reduction techniques and the integration of diverse clustering algorithms to assess their interplay. The results provide actionable insights, recommending NMF for accuracy-critical tasks and PCA for time-sensitive applications. Given the increasing volume of high-dimensional educational data, this study highlights the critical need for efficient clustering strategies to extract meaningful insights, ultimately supporting data-driven decision-making in education and workforce planning. Addressing these challenges is essential to optimizing institutional strategies, improving student employability, and enhancing workforce alignment with industry demands.
PEMETAAN POTENSI KOMODITAS HORTIKULTURA UNGGULAN DI KOTA BATU Sika; Mubarokah, Mubarokah; Priyanto, Eko
JURNAL AGRIBISAINS Vol. 9 No. 1 (2023): Jurnal AgribiSains
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/jagi.v9i1.6627

Abstract

Horticulture is the agricultural subsector that is mostly occupied by farmers, this can be seen from the amount of land use for horticulture which is more dominant than other agricultural subsectors, according to the Department of Agriculture and food security, the horticulture sector has a planting area of ​​6449,758 hectares with a total area of ​​6449,758 hectares. As many as 71 horticultural commodities are cultivated, Batu City is one of the areas in East Java that relies on the agricultural sector for its economic development, but Batu City does not yet have a clear picture of the specifications for leading commodities, especially the horticulture sub-sector. The analytical tool that can be used to determine base and non-base commodities is Location Quotient (LQ) analysis, while the tool used to classify the growth of each commodity can use Shift Share Analysis (SSA), then the results of the two analyzes are combined with the Batu City geographic map using the technique Overlay so as to produce a map of Batu City's leading commodities. With the focus of research on every sub-district in Batu City, this is because the sub-district is an integral part of the city.
The Determinants of Transfer Pricing in Energy Sector Companies Listed on the Indonesian Stock Exchange Kusbandiyah, Ani; Fakhruddin, Iwan; Mudjiyanti, Rina; Priyanto, Eko
Indonesian Journal of Business Analytics Vol. 4 No. 1 (2024): February 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijba.v4i1.8135

Abstract

This study examines "Determinant Analysis of Transfer Pricing in Energy Sector Companies Listed on the Indonesia Stock Exchange in Energy Sector Companies". The formulation of the problem that will be studied in this research is: Does multinationality, tax haven and yhin capitalization have a positive effect on transfer pricing. And the research objective is to test and find empirical evidence of the effect of multinationality, tax havens, thin capitalization can affect transfer pricing. The sample in this study is the energy sector companies, the data that fits the sample criteria is 38 data. The analytical method used in processing the data uses multiple linear analysis. The results showed that multinationality and thin capitalization had a positive effect on transfer pricing, and tax heaven had no positive effect on transfer pricing. The results of this study are multinationality and thin capitalization have a positive effect on transfer pricing. This result is in accordance with Afifah & Prastiwi (2019) which states that multinational companies have easier access to external funding than domestic companies because funding can be obtained from various sources from the country where the company's affiliation is established.
Analyzing Genre Patterns in Virtual-Themed Animated Films Using Association Rule Mining Pratama, Satrya Fajri; Priyanto, Eko
International Journal Research on Metaverse Vol. 1 No. 3 (2024): Regular Issue December
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijrm.v1i3.15

Abstract

This study investigates patterns in virtual-themed animated films using association rule mining to explore the relationships between genre combinations, production companies, and their impact on both popularity and revenue. The dataset consists of films from various genres, with a focus on those exploring virtual worlds, alternate realities, and futuristic settings, aligning with metaverse concepts. The analysis revealed several significant findings. The association rule mining results identified that films combining Fantasy and Science Fiction genres are 1.8 times more likely to achieve high box office revenue, with a confidence level of 80%. Additionally, Pixar adventure films were found to have a 2.1 times higher likelihood of attaining high popularity. Films blending Fantasy and Adventure genres showed a strong correlation with high revenue, with a 70% confidence level and a lift value of 1.9. These patterns suggest that imaginative storytelling and virtual world elements are key drivers of success in animated films. Revenue analysis demonstrated that 30% of the virtual-themed films in the dataset generated more than 1 billion USD, while 50% earned between 0.5 and 1 billion USD. The popularity analysis further highlighted that Fantasy, Science Fiction, and Adventure genres consistently rank highest in audience engagement. These findings underscore the significant commercial potential of films exploring virtual and digital environments, particularly as audience demand for immersive experiences continues to grow. This study concludes that films featuring virtual world themes, particularly those combining Fantasy, Science Fiction, and Adventure genres, are well-positioned to succeed both financially and in terms of audience engagement. As AR, VR, and metaverse technologies advance, the demand for immersive cinematic experiences is likely to increase, offering filmmakers new opportunities to innovate and expand this genre.