Determining Effective Subjects Online Learning (Study and Examination) with Multi-Attribute Utility Theory (MAUT) Method

Menentukan Matakuliah yang Efektif Belajar Daring (Belajar dan Ujian) dengan Metode Multi-Attribute Utility Theory (MAUT)

  • Tonni Limbong Universitas Katolik Santo Thomas Medan
  • Janner Simarmata Universitas Negeri Medan
Keywords: effectiveness of online learning, MAUT methods, decision support systems

Abstract

The Corona pandemic in Indonesia forced the learning system into a drastic change into online learning. Many campuses that were previously quite comfortable with face-to-face learning were forced to be helpless because they had never prepared a backup plan when something unexpected happened, one of which was when the campus was forced to not be able to face-to-face. If the learning system continues to be done online, it might cause the quality of learners to decrease dramatically compared to face-to-face learning. Moreover, the courses that must be filtered include theories and practice courses. Most assignments given to students are not seriously done because of a lack of significant evaluation and supervision. The Faculty of Computer Science, Santo Thomas Catholic University, Medan supports this government policy by implementing online learning using the Zoom application for face-to-face and Edmodo for supplementary lecture material  for online learning media. In one semester apart from studying there is a test period which is the Midterm Examination (UTS) and Final Examination Semester (UAS) where the current leadership must wisely determine the type and nature of the exams to be conducted online. To find out the effectiveness of the form of exam questions in online implementation, a Multi-Attribute Utility Theory (MAUT) method was conducted, the test results found that online learning with Zoom and Edmodo was very effective for theoretical courses with a value of 0.88, then the results of this calculation it is recommended that online tests be conducted in the form of theories such as multiple-choice, essay and analysis

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References

R. Mastuti et al., TEACHING FROM HOME: dari Belajar Merdeka menuju Merdeka Belajar. Medan: Yayasan Kita Menulis, 2020.

Dikti, Buku panduan kurikulum pendidikan tinggi. Jakarta: Direktorat Jenderal Pendidikan Tinggi Kementerian Pendidikan dan Kebudayaan, 2014.

M. Claude, M. Stahl, M. Alder, dan M. Müller, “Learning Effectiveness and Students’ Perceptions in A Flexible Learning Course,” Eur. J. Open, Distance E-Learning, vol. 21, hal. 44–52, Des 2018.

C. Watkins, E. Carnell, dan C. Lodge, Effective Learning in Classrooms. 2007.

A. Rohmawati, “Efektivitas Pembelajaran,” J. Pendidik. Usia Dini, vol. 9, no. 1, hal. 15–32, 2015.

T. Nguyen, “The Effectiveness of Online Learning: Beyond No Significant Difference and Future Horizons,” MERLOT J. Online Learn. Teach., vol. 11, no. 2, hal. 309–319, 2015.

B. Basori, “Efektifitas Komunikasi Pembelajaran Online Dengan Menggunakan Media E-Learning Pada Perkuliahan Body Otomotif,” J. Ilm. Pendidik. Tek. dan Kejuru., vol. 7, no. 2, hal. 39–45, 2017.

S. B. Djamarah, “Psikologi belajar.” Jakar, hal. Rineka Cipta, 2008.

S. Mahulae dan T. Limbong, “Implementasi Metode Simple Additive Weighting dalam Penentuan Guru untuk diusulkan Sertifikasi,” MEANS (Media Inf. Anal. dan Sist., vol. 4, no. 1, hal. 58–63, 2019.

R. Schäfer, “Rules for Using Multi-Attribute Utility Theory forEstimating a User’s Interests,” 2012. .

E. Satria, N. Atina, M. E. Simbolon, dan A. P. Windarto, “SPK: Algoritma Multi-Attribute Utility Theory (Maut) Pada Destinasi Tujuan Wisata Lokal Di Kota Sidamanik,” Comput. Eng. Sci. Syst. J., vol. 3, no. 2, hal. 168, 2018.

R. N. Sari dan R. S. Hayati, “Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Rumah Kost,” J-SAKTI (Jurnal Sains Komput. dan Inform., vol. 3, no. 2, hal. 243, 2019.

P. N. Sukaria, “Sistem Pendukung Pengambilan Keputusan Pemilihan Mobil Bekas Berbasis Web Menggunakan Metode Multi-Attribute Utility Theory (MAUT),” Universitas Sanata Dharma, 2017.

T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis, 2020.

Y. Liu, “MULTI-ATTRIBUTE UTILITY THEORY,” 2015. .

N. Nurjannah, Z. Arifin, dan D. M. Khairina, “Sistem Pendukung Keputusan Pembelian Sepeda Motor Dengan Metode Weighted Product,” Inform. Mulawarman J. Ilm. Ilmu Komput., vol. 10, no. 2, hal. 20, 2015.

Published
2020-04-20
How to Cite
Limbong, T., & Simarmata, J. (2020). Determining Effective Subjects Online Learning (Study and Examination) with Multi-Attribute Utility Theory (MAUT) Method. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 4(2), 370 - 376. https://doi.org/10.29207/resti.v4i2.1851
Section
Artikel Teknologi Informasi