Assessment of Essay Quiz System in the LMS VidyaNusa Framework Using the Nazief and Adriani Stemming Algorithms

Authors

  • Ratih Kusuma Dewi Institut Teknologi Bandung

DOI:

https://doi.org/10.30818/jitu.2.1.1635

Abstract

Learning evaluation is very important for students to know the level of understanding of a material that has been given. Evaluation can be done by giving an exam or test. The type of exam can be multiple choice, matching, right or wrong, short answer, description answer. This study focuses on the essay quiz assessment system in the LMS VidyaNusa framework using Nazief and Adriani algorithms. The stemming algorithm is a word cutting process that makes use of basic words using certain rules. The stemming process is carried out for Indonesian-language texts which generally consist of a combination of prefixes, basic words and suffixes. This Nazief and Andriani algorithm will be processed in real time. This system will help the teacher in the assessment of answers to student essay quiz because this system is equipped with value weighting so that it reduces subjective assessors and increases accuracy in assessment.

References

Riyadi, Muklisin. 2014. Pengertian, Karakteristik dan Manfaat E-Learning. https://www.kajianpustaka.com/2014/06/pengertian-karaktiristik-dan-manfaat-elearning.html. Diakses pada tanggal 03 Juli 2018

Bab 2 - 04201244078. Pengertian Evaluasi Pendidikan. http://eprints.uny.ac.id/9672/3/bab%202%20-%20%2004201244078.pdf. Diakses pada tanggal 03 Juli 2018

Aji, Rizki Bayu. 2011. Automatic Essay Grading System Menggunakan Metode Latent Semantic Analysis. Seminar Nasional Aplikasi Teknologi Informasi 2011 (SNATI 2011). Yogyakarta 17-19 Juni 2011. http://jurnal.uii.ac.id. Diakses pada tanggal 03 juli 2018

Anwar, Syafri. 2009. Penilian Berbasis Kompetensi. UNP Press, Padang.

Nana Sudjana. 1991. Penilaian Hasil Proses Belajar Mengajar. Bandung: PT. Remaja Rosdakarya.

Anak Agung Putri Ratna, Bagio Budiardjo, and Djoko Hartanto, "SIMPLE: SISTIM PENILAI ESEI OTOMATIS UNTUK MENILAI UJIAN," in MAKARA, TEKNOLOGI, vol. 11, Depok, 2007, pp. 5- 11.

Turkish Online Journal of Distance Education-TOJDE. Automated Essay Scoring. Semire DIKLI. Florida State University Tallahassee, FL, USA. January 2006 ISSN 1302-6488 Volume: 7 Number: 1 Article: 5

A. A. P. Ratna, A. Henry, A. B. Anantasatya. GLSA Based Online Essay Grading System. In IEEE, Bali. TALE. 2013

Deerwester, S.C., Dumais, S.T., Landauer, T.K., Furnas, G.W., and Harshman R.A. , 1990, Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science & Landauer, T.K., Foltz, P.W., and Laham D. , 1998, An introduction to Latent Semantic Analysis. Discourse Processes

Burstein, J., et al., 1998, Enriching automated essay scoring using discourse marking. Proceedings of the Workshop on Discourse Relations and Discourse Marking, Annual Meeting of the Association of Computational Linguistics, Montreal, Canada

Perkasa, Dheru Alam. 2014. “Sistem Ujian Online Essay Dengan Penilaian Menggunakan Latent Semantic Analysis (LSA) Pada Jurusan Sistem Informasi Universitas Islam Negeri Sultan Syarik Kasim Riau”. Fakultas Sains dan Teknologi. UIN Suska Riau.

A. Atqia, K. Dewi, H. Nashrul.” Development of a Retrieval System for Al Hadith in Bahasa (Case Study: Hadith Bukhari)”. 2017 5th International Conference on Cyber and IT Service Management (CITSM), Denpasar, 2017, pp. 1-5.

S. Reina, K. Aditya, B. Widodo, K. I. Herwidiana, P. Harjanto. “Flexible Affix Classification for Stemming Indonesian Language”. Internasional Conference IEEE, 2016.

P. R. B. Setya. U. Ema. “Non-formal Affixed Word Stemming in Indonesian Language”. 2018 International Conference on Information and Communications Technology (ICOIACT), 2018.

Published

2019-08-21

How to Cite

Dewi, R. K. (2019). Assessment of Essay Quiz System in the LMS VidyaNusa Framework Using the Nazief and Adriani Stemming Algorithms. Journal of Information Technology and Its Utilization, 2(1), 12–17. https://doi.org/10.30818/jitu.2.1.1635

Issue

Section

Artikel