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October 20, 2025
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December 16, 2025
Published
December 16, 2025
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Abstract

This study aims to analyze the student essay assessment system in Islamic Religious Education, focusing on the use of conventional methods and web-based application support. A qualitative approach with a comparative study design was employed. Data were collected through interviews with Islamic Education teachers of Grade XI at SMKN Muhammadiyah 1 Yogyakarta, which utilizes the Broexam Unlock examination application. Teachers play a crucial role in enhancing assessment competencies, including preparing test materials, developing scoring rubrics, and conducting manual evaluations. The results indicate that the conventional essay assessment method presents weaknesses, such as requiring considerable time and effort due to manual corrections. Conversely, the use of web-based applications such as Exambro offers greater efficiency in time and workload, as the system automatically generates results after the exam. These findings highlight that technology utilization through web-based applications can serve as a strategic innovation to enhance the effectiveness of Islamic Religious Education assessment systems in the digital era.

Keywords

Islamic Education Essay Assessment Web-Based Application

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Supratama, R., Nashihin, H., Indahsari , H. N., Wahyuni, D. A., & Dewi Fadilah, H. (2025). Student Essay Assessment System in Islamic Education: The Use of Conventional Methods and Web-Based Application Assistance. Jurnal Progress: Wahana Kreativitas Dan Intelektualitas, 13(2), 159–174. Retrieved from https://publikasiilmiah.unwahas.ac.id/PROGRESS/article/view/14510
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References

  1. Abdussamad, Z. (2021). Metode penelitian kualitatif (P. Rapana, Ed.; 1st ed.). Syakir Media Press.
  2. Alfianika, N., & Sitohang, K. (2022). Validitas Pengembangan Rubrik Penilaian Menulis Paragraf Narasi Dan Deskripsi Dalam Pembelajaran Bahasa Indonesia. Fon: Jurnal Pendidikan Bahasa Dan Sastra Indonesia, 18(2), 223–235. https://doi.org/10.25134/fon.v18i2.5592
  3. Amalia, R. (2023). Authentic Assessment Dalam Pembelajaran Pendidikan Agama Islam. 9(4), 1467–1477.
  4. Ardiansyah, Risnita, & Jailani, M. S. (2023). Teknik Pengumpulan Data Dan Instrumen Penelitian Ilmiah Pendidikan Pada Pendekatan Kualitatif dan Kuantitatif. Jurnal IHSAN : Jurnal Pendidikan Islam, 1(2), 1–9. https://doi.org/10.61104/ihsan.v1i2.57
  5. Arifuddin, M. R., Ar Rafiq, I., Mubarok, R., & Susilo, P. H. (2023). Sistem Cerdas Penilaian Ujian Essay Menggunakan Metode Cosine Similarity. Generation Journal, 7(1), 31–38. https://doi.org/10.29407/gj.v7i1.18318
  6. Ayu Pradani, K., Hulliyyatus Suadaa, L., & Korespondensi, P. (2019). Automated Essay Scoring Menggunakan Semantic Textual Similarity Berbasis Transformer Untuk Penilaian Ujian Esai Automated Essay Scoring Using Transformer-Based Semantic Textual Similarity for Essay Assessment. Jurnal Teknologi Informasi Dan Ilmu Komputer (JTIIK), 10(6), 1177–1184. https://doi.org/10.25126/jtiik.2023107338
  7. Azis, A., Abou-Samra, R., & Aprilianto, A. (2022). Online Assessment of Islamic Religious Education Learning. Tafkir: Interdisciplinary Journal of Islamic Education, 3(1), 60–76. https://doi.org/10.31538/tijie.v3i1.114
  8. Cahyadi, M. R., Darmayanti, R., Muhammad, I., Sugianto, R., & Choirudin. (2023). Rubrik Penilaian Tes Esai dari Kemampuan Pemecahan Masalah Matematika. Jurnal Sains Dan Pembelajaran Matematika, 1(2), 37–43. https://doi.org/10.51806/jspm.v1i2.55
  9. Chamidah, N., Santoni, M. M., Irmanda, H. N., & Astriratma, R. (2021). Penilaian Esai Pendek Otomatis dengan Pencocokan Kata Kunci Frasa Nomina Short Essay Autoscoring using Noun Phrase-Keyword Matching. Techno.Com, 20(4), 489–498.
  10. Dwi, D., Hidayat, N., & Artikel, I. (2022). Pendidikan Agama Islam Tingkat Sekolah Dasar. 3(November), 23–29.
  11. Fatmawati, F., Ningsih, R., Andriyani, N., Sukenti, D., & Shomary, S. (2022). Pelatihan Penyusunan Rubrik Penilaian Keterampilan Menulis Puisi Untuk Tim MGMP Bahasa Indonesia Tingkat SMA Se-Pekanbaru. Jurnal Pemberdayaan Sosial Dan Teknologi Masyarakat, 1(2), 195. https://doi.org/10.54314/jpstm.v1i2.759
  12. Febriyanto, F. (2019). Sistem Penilaian Otomatis Jawaban Esai Dengan Menggunakan Metode Vector Space Model Pada Beberapa Perkuliahan Di Stmik Indonesia Banjarmasin. Respati, 14(1), 53–68. https://doi.org/10.35842/jtir.v14i1.272
  13. Hicke, Y., Tian, T., Jha, K., & Kim, C. H. (2023). Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant.
  14. Huang, J., Zhao, X., Che, C., Lin, Q., & Liu, B. (2023). Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific AttentionPooling. Proceedings - 2023 International Conference on Information Network and Computer Communications, INCC 2023, 8–12. https://doi.org/10.1109/INCC58754.2023.00009
  15. Ikbal, Muh. S., Permana, I., Lisna, L., Kadir, F., & Hasanah, A. U. (2023). Pengembangan Rubrik Penilaian Responsi Praktikum Elektronika Dasar Berbasis Google Spreadsheet. Karst : JURNAL PENDIDIKAN FISIKA DAN TERAPANNYA, 6(2), 49–62. https://doi.org/10.46918/karst.v6i2.1925
  16. Imam Mufiid, Lestanti, S., & Kholila, N. (2021). Aplikasi Penilaian Jawaban Esai Otomatis Menggunakan Metode Synonym Recognition Dan Cosine Similarity Berbasis Web. Jurnal Mnemonic, 4(2), 31–37. https://doi.org/10.36040/mnemonic.v4i2.4067
  17. Jiang, Z., Gao, T., Yin, Y., Liu, M., Yu, H., Cheng, Z., & Gu, Q. (2023). Improving Domain Generalization for Prompt-Aware Essay Scoring via Disentangled Representation Learning. Proceedings of the Annual Meeting of the Association for Computational Linguistics, 1, 12456–12470. https://doi.org/10.18653/v1/2023.acl-long.696
  18. Lahitani, A. R. (2022). Automated Essay Scoring menggunakan Cosine Similarity pada Penilaian Esai Multi Soal. Jurnal Kajian Ilmiah, 22(2), 107–118. https://doi.org/10.31599/jki.v22i2.1121
  19. Mariyani, U. D., Setiyaningsih, W., & Agustina, R. (2022). Pengembangan Sistem Koreksi Jawaban Esai Otomatis Menggunakan Naive Bayes Dan Pengujian Menggunakan User Acceptance Test (UAT). Rainstek Jurnal Terapan Sains Dan Teknologi, 4(1), 61–73. https://doi.org/10.21067/jtst.v4i1.6857
  20. Marwanti, K., Suherman, S., Wibowo, F. C., Darman, D. R., & Guntara, Y. (2020). Assessment Virtual Test (ASVITE): Assessment Virtual Based on Interactive Lecture Demonstration (ILD) to Support Employability Skills. Jurnal Penelitian & Pengembangan Pendidikan Fisika, 6(1), 1–8. https://doi.org/10.21009/1.06101
  21. Mengenal Exambrowser, Aplikasi Pelaksanaan ANBK. (2021). https://ditsmp.kemdikbud.go.id/mengenal-exambrowser-aplikasi-pelaksanaan-anbk/
  22. Ozfidan, B., & Mitchell, C. (2022). Assessment of Students’ Argumentative Writing: A Rubric Development. Journal of Ethnic and Cultural Studies, 9(2), 121–133. https://doi.org/10.29333/ejecs/1064
  23. P1. (n.d.). Wawancara dengan guru PAI.
  24. Palaloi, N. K., Fauziah, M. M., & Syamsiyah, N. (2023). Efektivitas Aplikasi Exam Browser dalam Evaluasi Pembelajaran di SMA Muhammadiyah 4 Cawang. Jurnal Sinestesia, 13(2), 1382–1388.
  25. Prihatin, R. P., & Hamami, T. (2022). Learning Assessment Model for Islamic Religious Education. Nusantara: Jurnal Pendidikan Indonesia, 2(2), 373–390. https://doi.org/10.14421/njpi.2022.v2i2-10
  26. Rahman, N. F., Masdar, M. I., Ilmiani, A. M., Habibie, F., & Samdouni, S. (2022). Transformation of Arabic Assessment in Indonesia: Conventional Assessment Toward Digital Assessment. Al-Ta’rib : Jurnal Ilmiah Program Studi Pendidikan Bahasa Arab IAIN Palangka Raya, 10(2), 199–212. https://doi.org/10.23971/altarib.v10i2.4510
  27. Saffanah, N. N., & Hamdu, G. (2022). Analisis Rubrik Penilaian Keterampilan Berpikir Kritis Berbasis ESD di Kelas Tinggi Sekolah Dasar. Judika (Jurnal Pendidikan Unsika), 10(1), 1–15. https://doi.org/10.35706/judika.v10i1.5344
  28. Salim, A., Rijal, K., & Hendrik, B. (2023). Studi Literatur Sistem Penilaian Esai Otomatis Pada E-Learning Dengan Algoritma Winnowing. Jurnal Sistem Informasi Dan Ilmu Komputer, 1(3), 163–172.
  29. Saputro, H., & Budiyanto, U. (2024). Model Penilaian Esai Otomatis Menggunakan Algoritma Rabin-Karp, Dice Coefficient Similarity dan Synonym Recognition Studi Kasus Pada Universitas Budi Luhur. 7(1), 1–11.
  30. Setiawan, A., & Pasha, D. (2020). Sistem Pengolahan Data Penilaian Berbasis Web Menggunakan Metode Piecies. Jurnal Teknologi Dan Sistem Informasi, 1(1), 97–104. https://doi.org/10.33365/jtsi.v1i1.225
  31. Supratama, R. (2024). The Influence of Parental Involvement on Academic Achievement: A Comparative Study Across Different Educational Systems. International Journal of Post Axial: Futuristic Teaching and Learning, 2(3).
  32. Supratama, R. (2025). MODEL PENDIDIKAN AGAMA ISLAM DI MADRASAH ALIYAH ISLAMIC CENTRE BIN BAZ YOGYAKARTA [Thesis]. UIN Sunan Kalijaga.
  33. Supratama, R., Kholifah, E. P., Ramadani, M. M., & helwiyah, W. (2024). Optimization of the Continuing Professional Development Program (PKB) as a Follow-up to Online Competency Mapping (PK) for Islamic Religious Education Teachers. International Journal of Post Axial: Futuristic Teaching and Learning, 2(2).
  34. Wang, Y., Wang, C., Li, R., & Lin, H. (2022). On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation. NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 3416–3425. https://doi.org/10.18653/v1/2022.naacl-main.249