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All Journal Jurnal Sistem Informasi dan Ilmu Komputer Blaze: Jurnal Bahasa dan Sastra dalam Pendidikan Linguistik dan Pengembangan
Amir Salim Khairul Rijal
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Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media

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Studi Literatur Sistem Penilaian Esai Otomatis Pada E-Learning Dengan Algoritma Winnowing Amir Salim Khairul Rijal; Billy Hendrik
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 3 (2023): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i3.1227

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.
Penerapan Metode Fuzzy Sugeno untuk Mengevaluasi Hasil Belajar Siswa Amir Salim Khairul Rijal
BLAZE : Jurnal Bahasa dan Sastra dalam Pendidikan Linguistik dan Pengembangan Vol. 3 No. 2 (2025): BLAZE : Jurnal Bahasa dan Sastra dalam Pendidikan Linguistik dan Pengembangan
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/blaze.v3i2.3046

Abstract

Student learning evaluation is a crucial aspect of measuring the level of understanding and achievement of competencies. Traditional assessments are often limited to quantitative scores, such as exams and assignments, which do not consider other aspects like creativity and deep comprehension. This study aims to develop and implement a Fuzzy Sugeno-based evaluation system for the Interactive Media Design course at the Vocational High School (SMK) level. This method integrates various factors, such as assignment and exam scores, using Fuzzy rules to produce a more comprehensive assessment.The research was conducted using MATLAB software for simulating and implementing the Fuzzy Inference System (FIS). The results demonstrated that the method is effective in providing recommendations and assisting teachers in categorizing student scores. Data analysis revealed that the majority of final student scores fall into the Highly Adequate category.The Fuzzy Sugeno method has proven to be flexible in handling uncertainties and offers a fair, transparent, and holistic solution for evaluations. Therefore, this method is recommended as a valuable tool to enhance the quality of student learning assessments in education.
Co-Authors Billy Hendrik