Pengembangan learning management system di SMK N 1 Bulakamba

Wigiyanto (2015) Pengembangan learning management system di SMK N 1 Bulakamba. Other thesis, Universitas Komputer Indonesia.

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Abstract

SMK Negeri 1 Bulakamba merupakan sekolah menengah kejuruan negeri yang menjadi salah satu subsistem pendidikan nasional dan bertanggung jawab dalam membangun bangsa melalui pendidikan teknologi dan kejuruan. Salah satu penerapan pembangunan bangsa melalui pendidikan teknologi yang dilakukan SMK N 1 Bulakamba adalah dengan mulai menerapkan sistem pembelajaran jarak jauh dengan menggunakan Learning Management System.Sistem yang saat ini sedang dikembangkan di SMK N 1 Bulakamba sudah memiliki beberapa fungsionalitas standar e-learning seperti penyampaian materi, quiz (ulangan), diskusi, chat dan lain sebagainya. Namun untuk quiz yang ada dalam sistem saat ini belum dapat melakukan koreksi otomatis pada jenis quiz esai. Sehingga meski guru mampu untuk mengadakan quiz esai melalui LMS ini harus melakukan koreksi secara manual yang tentunya membutuhkan waktu tidak sedikit. Hal inilah yang mendasari lahirnya sebuah pemikiran untuk pengembangan koreksi otomatis bentuk esai. Metode yang dapat digunakan dalam bidang koreksi esai otomatis cukup beragam, salah satunya adalah Latent Semantyc Analysis (LSA) yang hanya mementingkan kata kunci didalam sebuah kalimat tanpa memperhatikan karakteristik linguistiknya. Kata-kata tersebut direpresentasikan kedalam sebuah matriks yang kemudian diolah dengan teknik aljabar linier Singular Value Decomposition yang kemudian dilakukan proses perhitungan nilai Cosine Similarity untuk menentukan nilai kemiripan antar jawaban dan kunci jawaban. Berdasarkan hasil data penelitian alpha dan betha dapat diambil sebuah kesimpulan bahwa pengembangan fungsionalitas koreksi esai di LMS SMK N 1 Bulakamba cukup dapat membantu proses koreksi hasil quiz esai yang telah dikerjakan oleh siswa dalam waktu yang cukup singkat.

SMK Negeri 1 Bulakamba vocational high school is the land that became one of the subsystems of the national education and responsible in developing nations through technology and vocational education. One of the nation's development through the application of technology education conducted SMK N 1 Bulakamba is to begin applying the system of distance learning by using Learning Management System. the System currently being evolved in SMK N 1 Bulakamba already has some of the functionality of e-learning standards such as the delivery of the material, quiz (Deuteronomy), discussion, chat and more. But for the quiz you have in the current system has not been able to do corrections automatically on this type of quiz essay. So even though the teacher is able to hold this essay quiz through the LMS must make corrections manually which obviously takes a bit. This was the birth of an underlying thought for development of automatic correction form essays. Methods that can be used in the field of automated essay correction is quite diverse, one of which is the Latent Semantyc Analysis (LSA) which is only concerned with the keywords in a sentence without regard to the characteristics of its linguistic connection. The words are represented in a matrix, which is then processed by linear algebra techniques in Singular Value Decomposition which then carried out the calculation of the value of the Cosine Similarity to determine the value of the similarity between the answers and answer keys. Based on the results of the research data and alpha betha to be drawn a conclusion that correction functionality development essay in LMS SMK N 1 Bulakamba enough can help the process of correction of the essay quiz results has been done by students in a fairly short time.

Item Type: Thesis (Other)
Additional Information: Migrasi dari GDL. Identifier: jbptunikompp-gdl-wigiyanton-32751. Folder: S1-Final_Project / Fakultas_Teknik_dan_Ilmu_Komputer / Teknik_Informatika / 2015
Uncontrolled Keywords: LSA, Latent Semantyc Analysis, Singular Value Decomposition (SVD) , Cosine Similarity, koreksi esai otomatis.
Divisions: S1 Skripsi > Teknik Informatika
Depositing User: Robot Migration
Date Deposited: 05 Nov 2026 11:42
Last Modified: 05 Nov 2026 11:42
URI: https://elibrary.unikom.ac.id/id/eprint/45324

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