IMPLEMENTASI MODEL STATE MACHINE DALAM PENILAIAN PENULISAN SOURCE CODE OTOMATIS PADA SISTEM ONLINE JUDGE

Albari Berki Pradhana, - (2022) IMPLEMENTASI MODEL STATE MACHINE DALAM PENILAIAN PENULISAN SOURCE CODE OTOMATIS PADA SISTEM ONLINE JUDGE. S1 thesis, Universitas Pendidikan Indonesia.

Abstract

Proses penilaian source code dapat menjadi pekerjaan yang cukup berat. Salah satu penyebabnya adalah banyaknya jumlah source code yang perlu dinilai ditambah lagi dengan sedikitnya waktu yang tersedia untuk menyelesaikan penilaian seluruh source code tersebut. Sehingga kehadiran modul penilaian source code otomatis akan sangat membantu. Pada penelitian ini model state machine akan diimplementasikan kedalam modul penilaian otomatis. Dengan mengimplementasikan model state machine yang sesuai dengan kriteria penilaian, diharapkan modul penilaian otomatis yang dibangun akan melakukan penilaian selayaknya penilai. Hasil dari penelitian ini menunjukan bahwa modul penilaian penulisan source code otomatis yang dibangun memiliki nilai koefisien korelasi yang cukup tinggi, yaitu 0,851 dengan skala 1. Namun, penelitian dan pengembangan lebih lanjut akan sangat diperlukan untuk membangun modul penilaian penulisan source code otomatis yang lebih baik. Source code assessment process can become a hard job. One of the reasons are the amount of source code they need to assessed are quiet a lot. More over, they won’t have that much of a time to assessed that much of source code. That is why an existence of automatic source code writing assessment module will helped a lot as lecturer assistant or as a lecturer. In this research, state machine model will be implemented to the automatic assessment module. With implementing the correct state machine model that refers to the lecturer assistant’s or lecturer’s assessment criteria, the automatic assessment module will assessed all the source code as good as how the lecturer assistant or lecturer would assessed. The result of this research show that the automatic source code writing assessment module have a correlation coefficient value of 0,851 in a scale of 1, which is quiet high. But a future development and research will be needed to get a better automatic source code writing assessment module.

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Item Type:	Thesis (S1)
Additional Information:	Link Google Scholar: Rosa Ariani Sukamto : https://scholar.google.com/citations?user=61vphZ0AAAAJ&hl=en Rasim : https://scholar.google.co.id/citations?user=noUN9GIAAAAJ&hl=en ID SINTA Dosen Pembimbing: Rosa Ariani Sukamto : 5974496 Rasim : 5990962
Uncontrolled Keywords:	State Machine, CSPC, Source Code, Assessment, Online Judge, Correlation Coefficient
Subjects:	L Education > L Education (General) L Education > LB Theory and practice of education > LB1603 Secondary Education. High schools Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Ilmu Komputer
Depositing User:	Albari Berki Pradhana
Date Deposited:	09 Sep 2022 07:05
Last Modified:	09 Sep 2022 07:05
URI:	http://repository.upi.edu/id/eprint/78403

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