Studi Literatur Sistem Penilaian Esai Otomatis Pada E-Learning Dengan Algoritma Winnowing

Authors

  • Amir Salim Khairul Rijal Univesrsitas Putra Indonesia YPTK, Padang
  • Billy Hendrik Univesrsitas Putra Indonesia YPTK, Padang

DOI:

https://doi.org/10.59581/jusiik-widyakarya.v1i3.1227

Keywords:

Algoritmh winnowing, essay, e-learning

Abstract

Such quick change in information technology and computers have required changes in the educational paradigm, particularly in teaching and learning methods. Computer applications are software services that use computers as the medium. Programming language is the language used in computing to create programs. An algorithm, a systematic sequence of steps, is used to solve a problem, and an example of one of these is the Winnowing algorithm. The Winnowing algorithm is a document fingerprinting method that utilizes hashing to detect text similarities. In an essay exam, an instructor must carry out a manual assessment by checking and correcting each participant's answers. Currently, automatic assessment is still generally limited to multiple choice questions. The purpose of this study is to investigate the extent to which previous studies have examined the assessment of essay questions using the Winnowing algorithm. The results of the study indicate that the application of the Winnowing algorithm in automatic evaluation of essay responses on online learning platforms (e-learning) provides good and stable results, and has a high degree of accuracy.

References

Billhaqqi, Titan Tawang Ilal, Dkk. “Analisis Perbandingan Algoritma Rabin-Karp Dan Winnowing Dalam Penilaian Jawaban Otomatis”. Seminar Nasional Teknologi dan Rekayasa (SENTRA).2020. eISSN 2527-6050.

Ismail, Yunus Oktavianto, dkk. “Penilaian Jawaban Essay Otomatis Menggunakan Algoritma Winnowing Pada Aplikasi E-Learning Sma Hang Tuah 4 Surabaya”. Prosiding Seminar Nasional Teknologi dan Sistem Informasi (SITASI). 2022. ISSN 2828-786X.

Kinanti, Nur Lujeng dan Qoiriah, Anita. “Sistem Penilaian Otomatis Jawaban Esai Bahasa Indonesia Berdasarkan Kemiripan Kalimat Menggunakan Syntactic-Semantic Similarity”. JINACS (Journal of Informatics and Computer Science). Volume 02 Nomor 02. 2020. ISSN 2686-2220.

Kurniawati, Febrilia Enda, Pradnya dan Windha Mega. “Implementasi Algoritma Winnowing Pada Sistem Penilaian Otomatis Jawaban Esai Pada Ujian Online Berbasis Web”. Jurnal Teknik Komputer AMIK BSI. Volume VI, No.2. E-ISSN: 2550-0120.

Maulida, Nur Hikmah. 2022. “Studi Literatur Penerapan Metode Prototaype Dan Waterfall Dalam Pembuatan Sebuah Aplikasi/Website”. Universitas Palangka Raya.

Nugraha, Bagus, dkk. “Sistem Koreksi Jawaban Uraian Singkat Otomatis Menggunakan Metode Winnowing”. Seminar Nasional Inovasi Teknologi. 2022. e-ISSN: 2549-7952.

Rohayati, dkk. “Implementasi Sistem Ujian Berbasis Online Pada Ujian Esai Bahasa Indonesia”. Jurnal Teknologi Informasi dan Komunikasi. Volume 8. Nomor 2. 2018. P-ISSN : 2088-6705.

Tsaqif, Hilmi. 2021. “Sistem Koreksi Jawaban Uraian Singkat Otomatis Menggunakan Metode Winnowing Algorithm Dan Synonym Recognition”. Universitas Islam Negeri Maulana Malik Ibrahim Malang.

Downloads

Published

2023-08-31

How to Cite

Amir Salim Khairul Rijal, & Billy Hendrik. (2023). Studi Literatur Sistem Penilaian Esai Otomatis Pada E-Learning Dengan Algoritma Winnowing. Jurnal Sistem Informasi Dan Ilmu Komputer, 1(3), 163–172. https://doi.org/10.59581/jusiik-widyakarya.v1i3.1227