Sistem Penilaian terhadap Kinerja Guru Berbasis Web (Studi Kasus: SMP Negeri 2 Sukodono)
DOI:
https://doi.org/10.47134/pslse.v1i2.202Keywords:
Sistem Penilaian, Kinerja Guru, WebsiteAbstract
Salah satu program sekolah adalah peningkatan kualitas dalam bidang pendidikan siswa yang berupa rapor yang berfungsi untuk menilai kemampuan siswa. Sedangkan dalam penelitian ini siswa menilai kinerja guru saat proses belajar mengajar selesai. Tujuan penelitian ini adalah untuk memberikan kemudahan para bapak/ibu guru melihat kinerjanya selama mengajar dikelas pada website tersebut dan membantu kepala sekolah dalam melihat kualitas guru di SMP Negeri 2 Sukodono. Dalam penelitian ini, penulis mengambil sampel sebanyak 204 orang siswa kelas VII di SMP Negeri 2 Sukodono pada semester genap tahun pelajaran 2022/2023. Metode penelitian yang digunakan adalah metode kuantitatif. Untuk mengumpulkan informasi yang valid, penulis melakukan observasi, tinjauan pustaka dan wawancara di SMP Negeri 2 Sukodono. Untuk menghitung korelasi antara hasil jawaban dari respoden dengan skala likert yang tersedia, penulis melakukan perhitungan dengan rumus penilaian responden dengan skor maksimal disimbolkan huruf X dengan skor sebesar 4 dengan kategori sangat baik. Skor tersebut dikalikan dengan total pertanyaan yang diberikan yaitu X = 4 x 23 = 92. Berikutnya yaitu skor harapan yang disimbolkan huruf Y dengan menggunakan jumlah responden, lalu dapat dituliskan dengan Y = 92 x 204 = 18.768. Dengan begitu kesimpulan hasil analisis yang menunjukkan bahwa kinerja guru di SMP Negeri 2 Sukodono dengan nilai 82,43% yang mencakup kriteria sangat baik.
References
Adhiansyah, H. (2023). Perancangan Sistem Informasi Pada UMKM Ikan Hias Nusatic. 7(2), 83–95.
Adie, L. (2020). Fidelity of summative performance assessment in initial teacher education: The intersection of standardisation and authenticity. Asia-Pacific Journal of Teacher Education, 48(3), 267–286. https://doi.org/10.1080/1359866X.2019.1606892
Ahmed, K. S. (2023). Against the Script With edTPA: Preservice Teachers Utilize Performance Assessment to Teach Outside Scripted Curriculum. Urban Education, 58(4), 614–644. https://doi.org/10.1177/0042085919873689
Akbar, D. A., & Astutik, I. R. I. (2021). Website-Based Sales Information System at One Coffe Point Cafe. Procedia Eng. Life Sci., 1(2). https://doi.org/10.21070/pels.v1i2.1008
Auslander, S. S. (2020). A case study of elementary teacher candidates’ preparation for a high stakes teacher performance assessment. Journal of Mathematics Teacher Education, 23(3), 269–291. https://doi.org/10.1007/s10857-018-09422-z
Chien, S. P. (2020). Examining influences of science teachers’ practices and beliefs about technology-based assessment on students’ performances: A hierarchical linear modeling approach. Computers and Education, 157. https://doi.org/10.1016/j.compedu.2020.103986
Habeeb, K. (2019). Impact of e-portfolios on teacher assessment and student performance on learning science concepts in kindergarten. Education and Information Technologies, 24(2), 1661–1679. https://doi.org/10.1007/s10639-018-9846-8
Hayes, D. (2020). Teachers and schooling making a difference: Productive pedagogies, assessment and performance. Teachers and Schooling Making A Difference: Productive Pedagogies, Assessment and Performance, 1–256. https://doi.org/10.4324/9781003117643
Hoesny, M. U., & Darmayanti, R. (2021). Permasalahan dan Solusi Untuk Meningkatkan Kompetensi dan Kualitas Guru: Sebuah Kajian Pustaka. Sch. J. Pendidik. Dan Kebud., 11(2), 123–132. https://ejournal.uksw.edu/scholaria/article/view/3595
Jeong, J. S. (2020). Sustainable and flipped stem education: Formative assessment online interface for observing pre-service teachers’ performance and motivation. Education Sciences, 10(10), 1–14. https://doi.org/10.3390/educsci10100283
Jeschke, C. (2019). Performance assessment to investigate the domain specificity of instructional skills among pre-service and in-service teachers of mathematics and economics. British Journal of Educational Psychology, 89(3), 538–550. https://doi.org/10.1111/bjep.12277
Mansir, F., Yogyakarta, U. M., Guru, K., & Nasional, P. (2020). Kesejahteraan Dan Kualitas Guru Sebagai Ujung. 8(2), 293–303.
Max, A. L. (2022). The relationship between self-assessment and performance in learning TPACK: Are self-assessments a good way to support preservice teachers’ learning? Journal of Computer Assisted Learning, 38(4), 1160–1172. https://doi.org/10.1111/jcal.12674
McDowall, A. (2021). Data use as the heart of data literacy: An exploration of pre-service teachers’ data literacy practices in a teaching performance assessment. Asia-Pacific Journal of Teacher Education, 49(5), 487–502. https://doi.org/10.1080/1359866X.2020.1777529
Nur, H. M., & Fatonah, N. (2023). Paradigma Kompetensi Guru. J. PGSD UNIGA, 2(1), 12–16. https://journal.uniga.ac.id/index.php/JPGSDU/about
Patra, I. (2022). The effectiveness of teachers’ written and verbal corrective feedback (CF) during formative assessment (FA) on male language learners’ academic anxiety (AA), academic performance (AP), and attitude toward learning (ATL). Language Testing in Asia, 12(1). https://doi.org/10.1186/s40468-022-00169-2
Ramadhan, A. F., Putra, A. D., & Surahman, A. (2021). Aplikasi Pengenalan Perangkat Keras Komputer Berbasis Android Menggunakanaugmented Reality (Ar). J. Teknol. Dan Sist. Inf., 2(2), 24–31. http://jim.teknokrat.ac.id/index.php/JTSI
Reynolds, W. M. (2021). Examining the relationship between the Educative Teacher Performance Assessment and preservice teachers’ pedagogical content knowledge. Journal of Research in Science Teaching, 58(5), 721–748. https://doi.org/10.1002/tea.21676
Rochmawati, I. (2019). Iwearup.Com User Interface Analysis. Visualita, 7(2), 31–44. https://doi.org/10.33375/vslt.v7i2.1459
Romadhon, M., & MS, Z. (2021). Pengaruh Kepemimpinan Kepala Sekolah terhadap Kinerja Guru Sekolah Dasar. J. Basicedu, 5(2), 479–489. https://doi.org/10.31004/basicedu.v5i2.711
Ronaldo, M., & Pasha, D. (2021). Sistem Informasi Pengelolaan Data Santri Pondok Pesantren an-Ahl Berbasis Website. Telefortech, 2(1), 17–20.
Sareong, I. P., & Supartini, T. (2020). Hubungan Komunikasi Interpersonal Guru dan Siswa Terhadap Keaktifan Belajar Siswa di SMA Kristen Pelita Kasih Makassar. J. Ilmu Teol. Dan Pendidik. Agama Kristen, 1(1), 29. https://doi.org/10.25278/jitpk.v1i1.466
Sasmita, M. B., Taurusta, C., & Eviyanti, A. (2023). APLIKASI PENGENALAN VIRUS COVID 19 BERBASIS AUGMENTED REALITY. 12(1), 1–11. https://doi.org/10.31571/saintek.v9i1
Shin, J. (2022). Analyzing students’ performance in computerized formative assessments to optimize teachers’ test administration decisions using deep learning frameworks. Journal of Computers in Education, 9(1), 71–91. https://doi.org/10.1007/s40692-021-00196-7
Stacey, M. (2020). The development of an Australian teacher performance assessment: lessons from the international literature. Asia-Pacific Journal of Teacher Education, 48(5), 508–519. https://doi.org/10.1080/1359866X.2019.1669137
Suwardi, I., & Farnisa, R. (2018). Hubungan Peran Guru Dalam Proses Pembelajaran Terhadap Prestasi Belajar Siswa. J. Gentala Pendidik. Dasar, 3(2), 181–202. https://doi.org/10.22437/gentala.v3i2.6758
Syamsiah, D., & Yuniarsih, T. (2018). Meningkatkan Motivasi Berprestasi Guru Melalui Sistem Penilaian Kinerja. J. Pendidik. Manaj. Perkantoran, 3(2), 27. https://doi.org/10.17509/jpm.v3i2.11761
Wahyuni, F. I., Ariyasanti, D., & Mashudi, I. (2022). Analisis Model Sistem Penilaian Kinerja Guru Smp Negeri Se Kecamatan Limboto. J. Pendidik. Glas., 6(1), 37. https://doi.org/10.32529/glasser.v6i1.1221
Wang, S. (2020). Perceived teacher feedback and academic performance: the mediating effect of learning engagement and moderating effect of assessment characteristics. Assessment and Evaluation in Higher Education, 45(7), 973–987. https://doi.org/10.1080/02602938.2020.1718599
Wijaya, Y. D., & Astuti, M. W. (2021). Pengujian Blackbox Sistem Informasi Penilaian Kinerja Karyawan Pt Inka (Persero) Berbasis Equivalence Partitions Blackbox Testing of Pt Inka (Persero) Employee Performance Assessment Information System Based on Teknik Equivalence Partitions. J. Digit. Teknol. Inf., 4(1), 22–26.