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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Sains Informatika Terapan (JSIT)
Sintia
Universitas Alifah Padang
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences

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Implementasi Algoritma Winnoming Untuk Penilaian Otomatis Jawaban Esai Pada Universitas Alifa Padang Berbasis Web Sintia; Diana Kemala Odang
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1170

Abstract

The development of information technology has driven a transformation in the learning evaluation system, particularly through the implementation of web-based online exams. However, the assessment of essay answers remains a challenge because it is generally done manually, which is time-consuming and potentially subjectivist. This study aims to implement the Winnowing Algorithm in a web-based automated essay answer assessment system at Alifa University, Padang. The Winnowing Algorithm is used to measure the level of text similarity between student answers and answer keys using document fingerprinting techniques. The research method used is an experiment with preprocessing stages, n-gram formation, hash calculation using rolling hash, window formation, and fingerprint selection. The data used are student essay answers and answer keys determined by the lecturer. The results show that the system is able to calculate the level of similarity automatically with similarity values ​​ranging from 50% to 90%. Examples of manual calculations produce hash values ​​of 3192 and 3262 for the two sets of texts tested. Thus, the Winnowing Algorithm can be an effective solution in the development of a web-based automated essay answer assessment system.
EVALUASI KINERJA DAN PENYEMPURNAAN MODEL SPK PEMILIHAN PEGAWAI TELADAN MENGGUNAKAN METODE TOPSIS Rahmah Dila; Sando Eka Putra; Davit Ariyanto; Fadil Aulia Rahman; Sintia
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.6769

Abstract

Penelitian ini bertujuan untuk mengevaluasi kinerja dan menyempurnakan model Sistem Pendukung Keputusan (SPK) dalam pemilihan pegawai teladan menggunakan metode TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). Penelitian dilakukan karena adanya keterbatasan pada sistem sebelumnya, terutama dalam pembobotan kriteria dan belum adanya evaluasi kinerja sistem secara menyeluruh. Metode yang digunakan adalah TOPSIS dengan tahapan normalisasi matriks keputusan, pembobotan kriteria, penentuan solusi ideal positif dan negatif, perhitungan jarak, serta penentuan nilai preferensi untuk perangkingan. Hasil penelitian menunjukkan bahwa sistem mampu menghasilkan peringkat pegawai secara objektif dan sistematis berdasarkan berbagai kriteria. Setelah dilakukan penyempurnaan melalui penyesuaian bobot dan validasi data, kinerja sistem mengalami peningkatan yang ditunjukkan dengan hasil yang lebih konsisten, akurat, dan sesuai dengan kondisi nyata. Model yang telah disempurnakan mampu mendukung pengambilan keputusan secara lebih efektif. Dengan demikian, evaluasi dan penyempurnaan model SPK berbasis TOPSIS berkontribusi dalam meningkatkan kualitas dan keandalan keputusan.
Co-Authors Davit Ariyanto Diana Kemala Odang Fadil Aulia Rahman Rahmah Dila Sando Eka Putra