AbstrakPada penelitian sebelumnya dihasilkan sebuah media pembelajaran berbasis gamification, yaitu memadukan konsep game dalam sebuah elearning. Pada sistem tersebut untuk koreksi jawaban uraian pendek(esai) masih dilakukan secara manual. Bertambahnya jumlah pelajar dan banyaknya ujian mengakibatkan pengajar harus meluangkan waktu untuk menilai jawaban soal ujian, sehingga penggunaan e-learning dan tanpa e-learning dari sisi efisiensi waktu tidak ada perbedaan. Oleh karena itu diperlukan sistem penilaian otomatis untuk jawaban esai. Penelitian sebelumnya didapat algoritma cosine similarity yang sesuai dengan kebutuhan sistem elearning tersebut. Dari hasil penelitian tersebut dikembangkan sistem (automated essay scooring )AES dengan algorima cosine similarity dan dilakukan uji perfoma sistem berdasarkan penggunaan CPU, Memori dan page load time. Proses uji performa server dari dua jenis soal yang diujikan disimpulkan bahwa semakin besar pengguna yang mengakses sistem maka semakin besar juga CPU Usage yang dibutuhkan yaitu paling besar adalah 0,2556 %. Untuk pengujian page load time dan memory usage tidak ditemukan perbedaan yang cukup signifikan ketika sistem digunakan oleh satu pengguna maupun banyak pengguna yaitu antara 0,208392 detik sampai 0,406842 detik untuk page load time dan antara 1,49 % sampai 1,56 % untuk memory usage.Kata kunci: automated essay scooring, cosine similarity, elearningAbstractIn a previous research developed a elearning system based on gamification concept, which combines the concept of games in an elearning system. In that system for correction the answer of essay exam) is still done manually. Increasing the number of students and the number of exam makes teachers having to take time to assess the answers to the exam, so using elearning and without elearning in asessment there is no different esspisially in term time efficiency. Therefore we need an automatic scoring system for the essay. Previous research, said cosine similarity algorithm that fits the needs of the e-learning system. From the results of these studies was developed automated essay scooring system using cosine similarity and examine the performance of the system based on the use of CPU, memory and page load time. The test result shown server performance of the two types of questions that tested concluded that the users accessing the system, the greater the required CPU Usage is at most 0.2556%. For the test page load time and memory usage found no significant difference when the system is used by a single user or multiple users is between 0.208392 seconds to 0.406842 seconds to page load time and between 1.49% to 1.56% for memory usage.Kata kunci: automated essay scooring, cosine similarity, elearning
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University of Brawijaya
Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW
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