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All Journal Populer: Jurnal Penelitian Mahasiswa Jurnal Sistem Informasi dan Ilmu Komputer Blaze: Jurnal Bahasa dan Sastra dalam Pendidikan Linguistik dan Pengembangan
Amir Salim Khairul Rijal
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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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.
Metode Fuzzy Untuk Mengidentifikasi Kepribadian Siswa Amir Salim Khairul Rijal; Billy Hendrik
Populer: Jurnal Penelitian Mahasiswa Vol. 2 No. 4 (2023): Desember : Jurnal Penelitian Mahasiswa
Publisher : Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/populer.v2i4.1456

Abstract

Personality recognition is one of the important things for recognizing oneself and other people. This identification is made based on a person's personality traits, based on Kant's personality theory. There are very few teachers who do not understand their students' personalities. During the teaching and learning process, some teachers do not clearly understand students' personalities, so it will be difficult for teachers to deliver learning material that arouses students' interest and thus influences the process of imparting knowledge. Consciousness is inhibited. Therefore, the FuzzyTsukamoto method is used to identify student personalities. The aim of this research is to help teachers group and identify students' personalities so that they can easily determine the right treatment method to develop their talents and interests. The system's input is taken from personality traits relevant to the student. The knowledge base is taken from child clinical psychologists and is built on the principle (IF-THEN). The results of the fuzzy calculation are that the student has a personality that is optimistic, quick-tempered, melancholic, or boring. The results of this method test by carrying out systematic calculations and tests, obtain personality results that are in accordance with the student's personality characteristics. and works fine. Therefore, it may be advisable to help teachers determine how to treat students.
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