IMPLEMENTATION OF THE TWO STAY TWO STRAY LEARNING MODEL IN IMPROVING STUDENTS' LEARNING OUTCOMES IN THE PAI SUBJECT (CLASSROOM ACTION RESEARCH AT SDS BUDI HARAPAN EAST JAKARTA)

Putri Eka Sari; Syahrullah Syahrullah; Uswatun Khasanah

doi:10.55849/alhijr.v5i6.1352

Authors

Putri Eka Sari
eka29863@gmail.com
Universitas Islam Jakarta, Indonesia
Syahrullah Syahrullah Universitas Islam Jakarta, Indonesia
Uswatun Khasanah Universitas Islam Jakarta, Indonesia

Vol. 5 No. 6 (2026)

Articles

Accepted October 11, 2026

Published October 20, 2026

Downloads

PDF

Abstract
How to Cite
Metrics
References
License

Islamic Religious Education (PAI) learning on the element of Islamic Cultural History in elementary schools is often faced with low learning outcomes due to the use of monotonous conventional methods. This study aims to analyze the application of the Two Stay Two Stray learning model in improving PAI learning outcomes and measuring the effectiveness of its performance at SDS Budi Harapan East Jakarta. The methodology used is Classroom Action Research (CAR) model Kemmis and McTaggart which was implemented in three cycles on 19 students in grade 5. Data were collected through observation, interviews, evaluation tests, and documentation, then analyzed qualitatively and quantitatively descriptively. The results showed an increase in the average class value from 71.42 in the pre-action to 77.32 in cycle I, 81.95 in cycle II, and 89.32 in cycle III, with the percentage of classical completeness jumping from 31.58% to 95.00%. The conclusion of the study states that the application of the Two Stay Two Stray model is very effective in improving learning outcomes and student activeness. The novelty of this research lies in the modification of the Two Stay Two Stray structure which combines interaction between groups with intensive scaffolding assistance from the teacher to explain complex material concepts.

Sari, P. E., Syahrullah, S., & Khasanah, U. (2026). IMPLEMENTATION OF THE TWO STAY TWO STRAY LEARNING MODEL IN IMPROVING STUDENTS’ LEARNING OUTCOMES IN THE PAI SUBJECT (CLASSROOM ACTION RESEARCH AT SDS BUDI HARAPAN EAST JAKARTA). Al-Hijr: Journal of Adulearn World, 5(6), 297–308. https://doi.org/10.55849/alhijr.v5i6.1352

Download Citation

Astuti, RF (2024). How Much is Character Education Correlated with Learning Outcomes of Islamic Religious Education Students in Indonesia: Meta-Analysis Study. Bio Web of Conferences, 146(Query date: 2026-09-10 22:51:59). https://doi.org/10.1051/bioconf/202414601087

Bardowska, K. (2025). Evaluation of six novel biomarkers for predicting recurrence of non-muscle invasive bladder cancer after endoscopic resection– a prospective observational study. World Journal of Urology, 43(1). https://doi.org/10.1007/s00345-025-05485-9

Bremer, S. (2023). Predicting optimal treatment outcomes in phase-based treatment and direct trauma-focused treatment among patients with posttraumatic stress disorder stemming from childhood abuse. Journal of Traumatic Stress, 36(6), 1044–1055. https://doi.org/10.1002/jts.22980

Bruijniks, S. J. E. (2022). Individual Differences in Response to Once Versus Twice Weekly Sessions of CBT and IPT for Depression. Journal of Consulting and Clinical Psychology, 90(1), 5–17. https://doi.org/10.1037/ccp0000658

Cacaj, D.M. (2025). Artificial Intelligence in the Management of Low Back Pai. International Journal of Biomedicine, 15(3), 452–456. https://doi.org/10.21103/Article15(3)_RA3

Coales, E.M. (2022). Application of Machine Learning to Assess Interindividual Variability in Rapid-Acting Insulin Responses After Subcutaneous Injection in People With Type 1 Diabetes. Canadian Journal of Diabetes, 46(3), 225–232. https://doi.org/10.1016/j.jcjd.2021.09.002

Frost, K. (2025). Predicting treatment outcome for complex posttraumatic stress disorder using the personalized advantage index. European Journal of Psychotraumatology, 16(1). https://doi.org/10.1080/20008066.2025.2484060

Ganguly, P. (2026). Digital Transformation in Education Building an Inclusive and Accessible Learning Ecosystem. Building Resilient Digital Ecosystems Security Governance and Transformation, (Query date: 2026-09-10 22:51:59), 125–158. https://doi.org/10.4018/979-8-3373-9968-3.ch005

Hasanah, IF (2024). Connecting with Nature: Tadabur Alam and its Effect on Islamic Value Learning. E3s Web of Conferences, 482(Query date: 2026-09-10 22:51:59). https://doi.org/10.1051/e3sconf/202448204020

Herbst, C.S. (2022). Association between patient-, tooth- and treatment-level factors and root canal treatment failure: A retrospective longitudinal and machine learning study. Journal of Dentistry, 117(Query date: 2026-09-10 22:51:59). https://doi.org/10.1016/j.jdent.2021.103937

Hossain, M.I. (2026). Deep Multimodal Fusion Network for Ovarian Tumor Classification Using Ultrasound and Photoacoustic Image. Proceedings of SPIE the International Society for Optical Engineering, 13851(Query date: 2026-09-10 22:51:59). https://doi.org/10.1117/12.3089116

Ismail, F. (2022). Assessment Model of Islamic Religious Education in the Psychomotor Domain during the COVID-19 Pandemic in Indonesia. Eurasian Journal of Educational Research, 2022(101), 190–203. https://doi.org/10.14689/ejer.2022.101.011

Khanif, A. (2023). Islamic Religious Education Learning Strategy for Alpha Generation: A Case Study at Darul Qur'an School Elementary School Semarang City. Ascarya Journal of Islamic Science Culture and Social Studies, 3(1), 36–45. https://doi.org/10.53754/iscs.v3i1.461

Latipah, E. (2023). Curriculum Reconstruction: Alignment of Profile, Body of Knowledge, and Learning Outcomes of the Indonesian Islamic Education Study Program. Journal of Islamic Religious Education, 20(1), 1–19. https://doi.org/10.14421/jpai.v20i1.7756

Lee, C. C. (2025). Longitudinal Changes in Peritoneal Transport and Their Impact on Dialysis Outcomes: A Machine Learning Approach Integrating Clinical and Biomarker Data. American Journal of Nephrology, 56(6), 688–701. https://doi.org/10.1159/000545943

Manik, E. (2023). Analysis of Teacher Pedagogical Competence in the Learning Process. Munaddhomah, 4(3), 659–668. https://doi.org/10.31538/munaddhomah.v4i3.464

Martindale, S. L. (2022). Symptom burden, validity, and cognitive performance in Iraq and Afghanistan veterans. Applied Adult Neuropsychology, 29(5), 1068–1077. https://doi.org/10.1080/23279095.2020.1847111

Miller, W. (2025). Comparison of Sarcopenia Assessment in Liver Transplant Recipients by Computed Tomography Freehand Region-of-Interest versus an Automated Deep Learning System. Clinical Transplantation, 39(6). https://doi.org/10.1111/ctr.70201

Myers, C.E. (2024). Initial evaluation of a personalized advantage index to determine which individuals may benefit from mindfulness-based cognitive therapy for suicide prevention. Behavior Research and Therapy, 183(Query date: 2026-09-10 22:51:59). https://doi.org/10.1016/j.brat.2024.104637

Paul, A. (2025). Facilitating real-time LED-based photoacoustic imaging with DenP2P: An optimized conditional generative adversarial deep learning solution. Aip Advances, 15(5). https://doi.org/10.1063/5.0259072

Saber, S. (2025). Automated assessment of periapical health based on the radiographic periapical index using YOLOv8, YOLOv11, and YOLOv12 one-stage object detection algorithms. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-21761-5

Samrin. (2026). Family Responsibility for Islamic Religious Education: A Socio-Legal Analysis of Emotional Intelligence and Student Achievement in North Buton, Southeast Sulawesi. El Usrah, 9(1), 310–328. https://doi.org/10.22373/ujhk.v9i1.34198

Senger, K. (2022). Predicting optimal treatment outcomes using the Personalized Advantage Index for patients with persistent somatic symptoms. Psychotherapy Research, 32(2), 165–178. https://doi.org/10.1080/10503307.2021.1916120

Sholeh, MI (2024). The Role of Teachers in Increasing Students' Learning Motivation in Islamic Religious Education. Journal of Islamic Religious Education, 21(2), 421–441. https://doi.org/10.14421/jpai.v21i2.8846

Tait, J. (2025). Individual treatment selection for patients with post-traumatic stress disorder: External validation of a personalized advantage index. Psychotherapy Research, 35(5), 838–851. https://doi.org/10.1080/10503307.2024.2360449

Tun, N. N. (2025). Nanomedicine Revolution: Tiny Tech With Big Impact on Health Care. IEEE Pulse, 16(6), 39–49. https://doi.org/10.1109/MPULS.2025.3640874

Webb, C. A. (2022). Personalized Prediction of Response to Smartphone-Delivered Meditation Training: Randomized Controlled Trial. Journal of Medical Internet Research, 24(11). https://doi.org/10.2196/41566

Yang, H. (2025). Estimation of Above-Ground Biomass for Dendrocalamus Giganteus Utilizing Spaceborne LiDAR GEDI Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18(Query date: 2026-09-10 22:51:59), 5271–5286. https://doi.org/10.1109/JSTARS.2025.3527631

Yanto, DTP (2023). EXAMINING THE PRACTICALITY OF MOBILE-BASED GAMIFICATION ASSESSMENT IN ELECTRICAL MACHINE COURSE: A STUDY IN INDUSTRIAL ELECTRICAL ENGINEERING. Journal of Applied Engineering and Technological Science, 5(1), 349–360. https://doi.org/10.37385/jaets.v5i1.2803

Zainal, NH (2025). Digital positive affect intervention (PAI) versus self-monitoring placebo in the treatment of anxiety and depression: A two-arm randomized controlled trial (RCT). BMC Psychiatry, 25(1). https://doi.org/10.1186/s12888-025-07372-4

Zainuddin, M. (2023). Development of Game-Based Learning Media on Islamic Religious Education Materials. Nazhruna Journal of Islamic Education, 6(1), 13–24. https://doi.org/10.31538/nzh.v6i1.2824

Zhang, Y. (2026). New Progress in Photoacoustic Imaging of Collagen in Biological Tissues. Zhongguo Jiguang Chinese Journal of Lasers, 53(3). https://doi.org/10.3788/CJL251311