OTOMATRIKS: Pengembangan Model Pembangkitan Bilangan Acak Dalam Pembuatan Soal Matriks Secara Otomatis


  • Meryance Viorentina Siagian * Mail Universitas Budi Darma, Medan, Indonesia
  • Abdul Karim Universitas Budi Darma, Medan, Indonesia
  • (*) Corresponding Author
Keywords: Random Number Generator; Linear Congruent Method; Problem; Automatic Question Generator; Matrix

Abstract

Matrices are generally used to represent linear transformations. Matrices are discussed in mathematics courses, and in universities, there are already courses that do discuss matrices, namely matrices and linear transformations. The problem experienced with this matrix is ​​the length of time it takes for teachers/lecturers to make matrix questions and not to mention making steps to solve them. Another problem is that students find it difficult to solve problems about matrices and it is difficult to understand the steps for solving them. From these problems, the solution is to build an application that can create questions about the matrix automatically along with the answers and is equipped with the steps for doing it. The purpose of this research is to make an application for making automatic matrix questions called OTOMATRIKS and the steps for solving them. In this OTOMATRIKS application, a random number generator is applied to generate random numbers which are later needed to be entered into the matrix that will be created. The result of this study is that the Linear Congruent Method can be used to generate random numbers, and to overcome the weakness of this method where the random numbers generated have a pattern and the OTOMATRIKS application can make it easier to make matrix questions that are equipped with the completion steps.

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References

S. D. Nasution, “Penerapan Metode Linier Kongruen dan Algoritma Vigenère Chiper Pada Aplikasi Sistem Ujian Berbasis Lan,” Pelita Inform., vol. 4, no. 1, pp. 94–102, 2013.

P. T. Wardani and Djuniadi, “Implementasi Linier Congruent Method Untuk Pengacakan Soal Ujian Pada Aplikasi Belajar Hiragana,” Edu Komputika J., vol. 2, no. 2, pp. 29–39, 2015, doi: 10.15294/edukomputika.v2i2.7856.

Y. J. C. Sitanggang and T. Limbong, “Aplikasi Pengacak Soal Ujian Berkategori Menggunakan Metode LCM (Linear Congruent Method),” MEANS (Media Inf. Anal. dan Sist., vol. 1, no. 2, 2016.

M. G. Arizqia and A. A. Widodo, “Rancang Bangun Aplikasi Dengan Linear Congruent Method (LCM) Sebagai Pengacakan Soal,” JOINTECS (Journal Inf. Technol. Comput. Sci., vol. 2, no. 1, pp. 1–6, 2017, doi: 10.31328/jointecs.v2i1.412.

A. Andilala and G. Gunawan, “Implementasi Linear Congruent Method Untuk Pengacakan Soal Pada Game Perhitungan Jarimatika Berbasis Android,” J. Technopreneursh. Inf. Syst., vol. 1, no. 1, pp. 13–18, 2018, doi: 10.36085/jtis.v1i1.38.

S. M. Dewi, K. Dobana, Wisnumurti, and A. Zacoeb, Keandalan Struktur dan Infrastruktur. Malang: UB Press, 2018.

O. Veza and A. Laurensius, Pemodelan Simulasi Monte Carlo. Batam: Yayasan Cendikia Mulia Mandiri, 2020.

W. Soetopo and L. Montarcih, Rekayasa Statistika untuk Teknik Pengairan. Malang: UB Press, 2017.

Thomas J. Kakiay, Pengantar Sistem Simulasi. Yogyakarta: Penerbit Andi, 2004.

T. Radillah and A. Sofiyan, “Simulasi Metode Linear Congruent Methods (LCM) Untuk Pengacakan Soal E-learning Ujian Nasional Berbasis Komputer (UNBK) (Studi Kasus : SMAN 5 Dumai),” Peranc. Apl. Antrian Pasien Di Rumah Sakit Menggunakan Metod. Fast, no. Lcm, pp. 270–276, 2019.


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Article History
Submitted: 2022-09-21
Published: 2022-10-29
Abstract View: 1686 times
PDF Download: 720 times
How to Cite
Siagian, M., & Karim, A. (2022). OTOMATRIKS: Pengembangan Model Pembangkitan Bilangan Acak Dalam Pembuatan Soal Matriks Secara Otomatis. Journal of Information System Research (JOSH), 4(1), 127-131. https://doi.org/10.47065/josh.v4i1.2280
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