Aplikasi Sistem Automated Essay Scoring untuk Jawaban Soal Ujian dengan Menerapkan Algoritma Jaro-Winkler
Abstract
ABSTRACK
In its development, the essay exam features become an obstacle, because the increase in the number of students and the number of examinations results in the teacher taking the time to assess the answers to the exam questions. In general, the answer correction system for essay answers is done manually, so the use of e-learning and without e-learning in terms of time efficiency there is no difference. Therefore, an automatic assessment system is needed on essay examinations to accelerate the process of evaluating student answers. Automated essay scooring is an automatic scoring system by comparing two answers and then calculating the results of a comparison using an existing algorithm. One algorithm used is the Jaro-Winkler Distance algorithm, which is to measure the similarity between two strings. In this research, an automated essay scoring system integration is based on the Jaro-Winkler Distance algorithm, so that with an automated scoring essay system, it can help the teacher in the essay answer correction process. The results of the system testing show, the assessment of the answers generated by the system is influenced by whether or not there is a key term in the answer sentence. The more different the number of words in a sentence between teacher and student, the smaller the resulting value. If a student's answer sentence has a key term distribution which is the same as the teacher's answer key then the resulting value is also higher.
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References
[2]. Ruslan, dkk, “Implementasi Generalized Latent Semantic Analysis Untuk Penilaian Otomatis Jawaban Esai Siswa Pada Tingkat Sekolah Menengah Atas (SMA)”, Seminar Nasional Teknologi Informasi dan Komunikasi, 2017.
[3]. E. S. Pramukantoro, “Sistem Penilaian Otomatis Jawaban Esai Pada Elearning Belajardisini.Com”, Jurnal Teknologi Informasi dan Ilmu Komputer, Vol. 3, No. 4, 2016.
[4]. N. H. Ariyani, dkk, “Aplikasi Pendeteksi Kemiripan Isi Teks Dokumen Menggunakan Metode Levenshtein Distance”, Jurnal semanTIK, Vol.2, No.1, 2016.
[5]. Y. L. Joane, dkk, “Rancang Bangun Aplikasi Deteksi Kemiripan Dokumen Teks Menggunakan Algoritma Ratcliff/Obershelp”, E-Journal Teknik Informatika Vol. 11, No. 1, 2017.
[6]. Tinaliah dan T. Elizabeth, “Perbandingan Hasil Deteksi Plagiarisme Dokumen dengan Metode Jaro-Winkler Distance dan Metode Latent Semantic Analysis”, Jurnal Teknologi dan Sistem Komputer, 2018.
[7]. G. Urva dan H. F. Siregar, “Pemodelan UML E-Marketing Minyak Goreng” Jurnal Teknologi Dan Sistem Informasi Vol. 1, No. 2, 2015.
[8]. Barakbah, dkk., “Logika Dan Algoritma”, E-book Program Studi Teknik Informatika dan Komputer Politeknik Elektronika Negeri Surabaya. 2013.
[9]. Minarni dan Susanti, “Sistem Informasi Inventory Obat Pada Rumah Sakit Umum Daerah (RSUD) Padang”, Jurnal Momentum, Vol. 16, No. 1, 2014.
[10]. Y. B. L. Hege, dkk, “Sistem Informasi Geografis (SIG) Pelayanan Kesehatan Di Kotamadya Yogyakarta Berbasis Web”, Jurnal SCRIPT, Vol. 1, No. 2, 2014.
[11]. A. Firman, dkk, “Sistem Informasi Perpustakaan Online Berbasis Web”, E-journal Teknik Elektro dan Komputer, Vol. 5, No. 2, 2016.
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Universitas Harapan Medan
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