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PENGGUNAAN CONSINE SIMILARITY DALAM PENILAIAN JAWABAN UJIAN ESAI OTOMATIS

Authors: Mochamad Iqbal Mardiana; Slamet Risnanto;

PENGGUNAAN CONSINE SIMILARITY DALAM PENILAIAN JAWABAN UJIAN ESAI OTOMATIS

Abstract

Evaluasi pembelajaran dengan metode uraian atau esai merupakan salah satu cara untuk mengetahui sampai mana kemampuan siswa menguasai materi pembelajaran. Evaluasi pembelajaran menggunakan esai merupakan ujian yang mengharuskan siswa untuk menulis jawaban mereka dan dinilai secara manual oleh guru dan mengharuskan guru menilai ujian tersebut dengan cara manual. Akan memakan waktu yang cukup banyak jika ujian tersebut dilaksanakan secara serentak oleh siswa, belum lagi tulisan siswa yang sulit untuk dibaca, penilaian yang kurang konsisten dan hal tersebut dapat mempengaruhi kualitas menilaian dari ujian itu sendiri. Untuk mengatasi masalah-masalah tersebut, sistem penilaian jawaban ujian esai otomatis dibuat sebagai pilihan untuk melakukan menilaian esai. Penilaian yang dilakukan melalui metode pemrosesan teks lalu pembobotan term frequency - inverse document frequency (TF-IDF) dan algoritma consine similarity. Berdasar hasil penelitian bahwa sistem penilaian jawaban ujian esai otomatis dengan menggunakan metode consine similarity berjalan dengan baik dengan nilai rata-rata yang diberikan oleh pengajar sebesar 88,89%.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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