Selection of Video on Demand Service Applications for Students Using TOPSIS

Wandhansari Sekar Jatiningrum, Setya Khusna Rossy Pertiwi, Mohamad Irvan Irianto, Yolanda Okta Ria

Abstract


Video on Demand service is getting popular for people to watch film or drama recently. Various streaming applications with different services and characteristics can be chosen by people. Students, as the largest consumers of film and drama industry, have various factors to be considered in choosing alternatives to these streaming services. This study aims to enable users, namely students, to choose the best alternative among various choices of streaming service applications by consider several factors at once. TOPSIS method (Technique for Others Reference by Similarity to Ideal Solution) is used in this research to rank streaming service applications according to user preferences. The criteria considered by users are subscription fees, variety of film and drama choices, application views, and services provided. Data collection was carried out by distributing questionnaires to 50 student respondents regarding the criteria and alternatives. The results of TOPSIS analysis showed that students prefer Viu application as the best choice for watching films and dramas. The second to forth rankings are iflix, Netflix, and WeTV, respectively.

Keywords


TOPSIS; decision analysis; MCDM; streaming service applications

References


Cheng, L. P. (2017). Effects of Brand Image, Perceived Price, Perceived Quality, and Perceived Value on the Purchase Intention towards Sports and Tourism Products of the 2016 Taichung International Travel Fair. The Journal of International Management Studies, 12(2), 97–107.

Eka, R. (2017). Video on Demand dan Penerimaannya oleh Masyarakat Indonesia. Retrieved October 3, 2020, from https://dailysocial.id/post/video-on-demand-dan-penerimaannya-oleh-masyarakat-indonesia

Feb, M., & Setyorini, R. (2019). PENGUKURAN KEPUASAAN PENGGUNA WEBSITE VIU.COM DENGAN MENGGUNAKAN PENDEKATAN WEBQUAL 4.0 DAN IMPORTANCE PERFORMANCE ANALYSIS. DINAMIKA EKONOMI Jurnal Ekonomi Dan Bisnis, 12(1), 33–50.

Hasan, V. A. (2017). ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI WILLINGNESS TO SUBSCRIBE: TELAAH PADA LAYANAN VIDEO ON DEMAND NETFLIX. Ultima Management, 9(1), 22–38.

Kaonang, G. (2020). Jumlah Pelanggan Netflix Naik Drastis Selama Pandemi. Retrieved October 3, 2020, from https://dailysocial.id/post/jumlah-pelanggan-netflix-naik-drastis-selama-pandemi

Krohling, R. A., & Pacheco, A. G. (2015). A-TOPSIS–an approach based on TOPSIS for ranking evolutionary algorithms. Procedia Computer Science, 55, 308–317.

Moon, Y. J. (2013). The tangibility and intangibility of e-service quality. International Journal of Smart Home, 7(5), 91–102.

Mulliner, E., Smallbone, K., & Maliene, V. (2013). An assessment of sustainable housing affordability using a multiple criteria decision making method. Omega-International Journal of Management Science, 41(2), 270–279.

Nabila, M. (2020a). Menengok Sederet Aplikasi Hiburan Terpopuler Selama Pandemi. Retrieved October 3, 2020, from https://dailysocial.id/post/menengok-sederet-aplikasi-hiburan-terpopuler-selama-pandemi

Nabila, M. (2020b). Viu dan Netflix Bersaing Jadi Platform “Video on Demand” Berbayar Terpopuler di Indonesia. Retrieved March 30, 2021, from https://dailysocial.id/post/viu-netflix-video-on-demand-berbayar-terpopuler-indonesia

Netflix. (2021). Netflix-Pusat Bantuan. Retrieved March 30, 2021, from https://help.netflix.com/en

Ramadhan, F., Virgono, A., & Wahidah, I. (2009). Desain Dan Implementasi Live Streaming Televisi Menggunakan Adaptive H264Encoding. Seminar Nasional Informatika 2009, 38–46. Yogya: UPN ”Veteran” Yogyakarta.

Widianta, M. M. D., Rizaldi, T., Setyohadi, D. P. S., & Riskiawan, H. Y. (2018). Comparison of Multi-Criteria Decision Support Methods (AHP, TOPSIS, SAW & PROMENTHEE) for Employee Placement. Journal of Physics: Conference Series, 953(1), 1–5.

Yoon, K. P., & Kim, W. K. (2017). The behavioral TOPSIS. Expert Systems with Applications, 89, 266–272.

Yusuf, N. A., & Indrawati. (2019). ANALISIS FAKTOR YANG MEMENGARUHI PEMBENTUKAN MINAT BERLANGGANAN DI INDUSTRI VIDEO-ON-DEMAND DI INDONESIA. Almana : Jurnal Manajemen Dan Bisnis, 3(1), 161–173.

Zavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. (2016). Development of TOPSIS Method to Solve Complicated Decision-Making Problems - An Overview on Developments from 2000 to 2015. In International Journal of Information Technology and Decision Making (Vol. 15).




DOI: https://doi.org/10.31315/opsi.v14i2.4846

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