Application of TOPSIS Method in Assessment of the Best Learning Comunication Media for Elementary School Students

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Pricilia Intan Pramesti
Julian Rienaldi Prasetya
Tiffany Ovilia Dwi Lestari
Miftakhul Gina Khoirunnisa

Abstract

The spread of the Covid-19 virus that occurred so quickly and occurred almost all over the world caused the implementation of activities to be carried out online, including learning activities. The main thing that can help the online learning process is technology, especially communication technology. Commonly used communication media to assist the online learning process include Whatsapp, school e-learning Web, Youtube, Zoom, and Google Meet. Of course, every communication media used has advantages and disadvantages. This study aims to determine the best learning communication media using the TOPSIS method to assist users in choosing the best communication media for elementary school students based on the criteria for easy use and maintenance, completeness of features, quota requirements, understanding obtained, and the ability to re-access information. The results of this study indicate that the best communication media for elementary school student learning is the Whatsapp application. In addition, this research also produces a simple excel-based TOPSIS program that can be used by educators to determine what application is right for use in the learning process because many criteria are considered by an educator to determine the application

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How to Cite
[1]
P. I. Pramesti, J. R. Prasetya, T. O. Dwi Lestari, and M. G. Khoirunnisa, “Application of TOPSIS Method in Assessment of the Best Learning Comunication Media for Elementary School Students”, J. Soft Comput. Explor., vol. 3, no. 1, pp. 44-54, Mar. 2022.
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References

R. S. Al-Maroof, S. A. Salloum, A. E. Hassanien, and K. Shaalan, “Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic,” Interact. Learn. Environ., vol. 0, no. 0, pp. 1–16, 2020, doi: 10.1080/10494820.2020.1830121.

C. Anglano, M. Canonico, and M. Guazzone, “Forensic analysis of Telegram Messenger on Android smartphones,” Digit. Investig., vol. 23, pp. 31–49, 2017, doi: 10.1016/j.diin.2017.09.002.

W. Wuryandani, “Integrating Local Wisdom in Natural Science Learning,” in In Proceedings of the National Seminar on UNY research institutes, 2010, pp. 1–10, doi: 10.2991/icoie-18.2019.42.

M. Aparicio, F. Bacao, and T. Oliveira, “An e-Learning Theoritical Framework,” Int. Forum Educ. Technol. Soc., vol. 19, no. 1, pp. 292–307, 2016.

W. Hartanto, “Penggunaan E-Learning sebagai Media Pembelajaran,” J. Pendidik. Ekon., vol. 10, no. 1, pp. 1–18, 2016.

T. Govindasamy, “Successful implementation of e-Learning Pedagogical considerations,” Internet High. Educ., vol. 4, no. 2002, pp. 287–299, 2002, doi: 10.4018/978-1-60960-048-8.ch013.

A. Ibrahim and R. A. Surya, “The Implementation of Simple Additive Weighting (SAW) Method in Decision Support System for the Best School Selection in Jambi,” J. Phys. Conf. Ser., vol. 1338, no. 1, 2019, doi: 10.1088/1742-6596/1338/1/012054.

I. R. Rahadjeng, “Decision Making In Determining CV . Sinar Siantar With The TOPSIS Technique,” Int. J. Inf. Syst. Technol., vol. 4, no. 36, pp. 489–495, 2020.

S. Sutarti, A. T. Putra, and E. Sugiharti, “Comparison of PCA and 2DPCA Accuracy with K-Nearest Neighbor Classification in Face Image Recognition,” Sci. J. Informatics, vol. 6, no. 1, pp. 64–72, 2019, doi: 10.15294/sji.v6i1.18553.

J. J. Tejada, J. Raymond, and B. Punzalan, “On the Misuse of Slovin’s Formula,” Philipp. Stat., vol. 61, no. 1, p. 8, 2012.

A. D. Sari, M. R. Suryoputro, Y. A. Rochman, S. Ulandari, and E. H. Puspawardhani, “Usability Analysis of Laboratory Website Design to Improve Learning Process,” Procedia Manuf., vol. 3, no. Ahfe, pp. 5504–5511, 2015, doi: 10.1016/j.promfg.2015.07.703.

C. P. S. Heru Supriyono, “Pemilihan Rumah Tinggal Menggunakan Metode Weighted Product,” Khazanah Inform. J. Ilmu Komput. dan Inform., vol. 1, no. 1, pp. 23–28, 2015, [Online]. Available: http://journals.ums.ac.id/index.php/khif/article/view/1178/1027.

I. Laengge, H. Wowor, and M. Putro, “Decision Support System for Determining Thesis Supervisor using A Weighted Product (WP) Method,” J. Informatics Eng., vol. 9, no. 1, 2016, doi: 10.15575/join.v3i2.230.

A. Topadang and D. Nurcahyono, “Keputusan Penentuan Guru Berprestasi Pada Sekolah Menengah Pertama Negeri 8 Samarinda,” Just TI (Jurnal Sains Terap. Teknol. Informasi), vol. 11, no. 2, pp. 7–11, 2019.

K. Church and R. De Oliveira, “What’s up with WhatsApp? Comparing mobile instant messaging behaviors with traditional SMS,” in MobileHCI 2013 - Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2013, pp. 352–361, doi: 10.1145/2493190.2493225.

P. Bocciarelli, A. D’Ambrogio, A. Giglio, E. Paglia, and D. Gianni, “A transformation approach to enact the design-time simulation of BPMN models,” Proc. Work. Enabling Technol. Infrastruct. Collab. Enterp. WETICE, no. October, pp. 199–204, 2014, doi: 10.1109/WETICE.2014.27.

P. Rambe and A. Bere, “Using mobile instant messaging to leverage learner participation and transform pedagogy at a South African University of Technology,” Br. J. Educ. Technol., vol. 44, no. 4, pp. 544–561, 2013, doi: 10.1111/bjet.12057.

H. Soeroso, A. Zuhri Arfianto, N. Eka Mayangsari, and M. Taali, “Penggunaan Bot Telegram Sebagai Announcement System pada Intansi Pendidikan,” Semin. Master PPNS, vol. 2, no. 1, pp. 45–48, 2017.

N. Septia, “Application of Telegram (Tele-Education) in Learning IPA in Madrasah Ibtidaiyah,” J. Islam. Elem. Educ., vol. 1, no. 1, pp. 37–48, 2019.

B. K. Wiederhold, “Connecting through Technology during the Coronavirus Disease 2019 Pandemic: Avoiding ‘zoom Fatigue,’” Cyberpsychology, Behav. Soc. Netw., vol. 23, no. 7, pp. 437–438, 2020, doi: 10.1089/cyber.2020.29188.bkw.

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