ANALISIS DINAMIKA ULASAN PENGGUNAAN APLIKASI VIDIO DAN VIU BERDASARKAN MODEL EVALUASI TAM, EMA, DAN PACMAD

Azzahra Qubais Suprapto; Irwansyah Irwansyah; Muhammad Edi Irfandianto

doi:10.52423/jikuho.v10i1.462

Authors

Azzahra Qubais Suprapto Universitas Indonesia
Irwansyah Irwansyah Universitas Indonesia
Muhammad Edi Irfandianto Universitas Indonesia

DOI:

https://doi.org/10.52423/jikuho.v10i1.462

Keywords:

Aplikasi OTT, EMA, PACMAD, Pengalaman Pengguna, TAM

Abstract

Penelitian ini membandingkan ulasan pengguna terhadap dua aplikasi over-the-top (OTT), Vidio dan VIU, untuk mengevaluasi kinerja mereka berdasarkan Technology Acceptance Model (TAM), Extended Mobile Applications (EMA), dan People at the Center for Mobile Application Development (PACMAD). Penelitian kami bertujuan untuk menyelidiki bagaimana model-model ini dapat menginformasikan pengembangan aplikasi OTT di Indonesia. Peneliti mengumpulkan 100 ulasan pengguna dari setiap aplikasi selama Q4 2023 dan menganalisisnya menggunakan pendekatan analisis konten. Dua orang coder terlatih mengevaluasi ulasan berdasarkan indikator dari ketiga model tersebut, dan keandalannya diuji dengan menggunakan rumus Holsti. Temuan kami menunjukkan bahwa Vidio mengungguli VIU dalam hal kualitas fungsional, objektivitas, dan akurasi, sementara VIU unggul dalam hal kemudahan penggunaan. Hasil penelitian juga menunjukkan bahwa pengguna menghargai variasi konten dan kualitas di Vidio, sementara pengguna VIU mengkhawatirkan iklan dan masalah teknis. Studi ini berkontribusi pada pemahaman pengalaman pengguna dalam aplikasi OTT dan memberikan wawasan bagi para pengembang untuk meningkatkan kepuasan dan loyalitas pengguna.

References

Aliyu, A., Abdullah, A. H., Budiyono, A., Raja Mohd Radzi, R. Z., & Mohammed Joda, U. (2018). VANETs Multipath Video Data Streaming Considering Road Features. International Journal of Integrated Engineering, 10(6). https://doi.org/10.30880/ijie.2018.10.06.012

Amiri Aghdaie, S. F., Sanayei, A., & Etebari, M. (2012). Evaluation of the Consumers’ Trust Effect on Viral Marketing Acceptance Based on the Technology Acceptance Model. International Journal of Marketing Studies, 4(6). https://doi.org/10.5539/ijms.v4n6p79

Andriani, R., Herdi, H., & Kasriyati, D. (2023). Multimedia in Translation Class: A Technology Acceptance Model. Journal of English Culture, Language, Literature and Education, 11(2), 338–355. https://doi.org/10.53682/eclue.v11i2.7735

Archana. (2022). Modelling Barriers for Smart Grid Technology Acceptance in India. Process Integration and Optimization for Sustainability, 6(4), 989–1010. https://doi.org/10.1007/s41660-022-00255-1

Asis, M. A., Purnawansyah, P., & Manga, A. R. (2020). Penerapan System Development Life Cycle pada Sistem Validasi Metode Analisis Sediaan Farmasi. Buletin Sistem Informasi Dan Teknologi Islam, 1(3), 145–149. https://doi.org/10.33096/busiti.v1i3.883

Asselbergs, J., Ruwaard, J., Ejdys, M., Schrader, N., Sijbrandij, M., & Riper, H. (2016). Mobile Phone-Based Unobtrusive Ecological Momentary Assessment of Day-to-Day Mood: An Explorative Study. Journal of Medical Internet Research, 18(3), e72. https://doi.org/10.2196/jmir.5505

Bell, I. H., Eisner, E., Allan, S., Cartner, S., Torous, J., Bucci, S., & Thomas, N. (2024). Methodological Characteristics and Feasibility of Ecological Momentary Assessment Studies in Psychosis: a Systematic Review and Meta-Analysis. Schizophrenia Bulletin, 50(2), 238–265. https://doi.org/10.1093/schbul/sbad127

Bothma, M., & Mostert, L. (2023). Adopting the Technology Acceptance Model: A Namibian Perspective. SA Journal of Information Management, 25(1). https://doi.org/10.4102/sajim.v25i1.1624

Christanto, M. H. (2023). User Acceptance of Online Examination System Using the Unified Theory of Acceptance and Use of Technology (UTAUT) Model. Letters in Information Technology Education (LITE), 6(1), 30. https://doi.org/10.17977/um010v6i12023p30-37

Connelly, K., Stein, K. F., Chaudry, B., & Trabold, N. (2016). Development of an Ecological Momentary Assessment Mobile App for a Low-Literacy, Mexican American Population to Collect Disordered Eating Behaviors. JMIR Public Health and Surveillance, 2(2), e31. https://doi.org/10.2196/publichealth.5511

Dai, J., Liu, F., Li, B., Li, B., & Liu, J. (2012). Collaborative Caching in Wireless Video Streaming Through Resource Auctions. IEEE Journal on Selected Areas in Communications, 30(2), 458–466. https://doi.org/10.1109/JSAC.2012.120226

de Andrés-Sánchez, J., & Gené-Albesa, J. (2023). Explaining Policyholders’ Chatbot Acceptance with an Unified Technology Acceptance and Use of Technology-Based Model. Journal of Theoretical and Applied Electronic Commerce Research, 18(3), 1217–1237. https://doi.org/10.3390/jtaer18030062

Diqi, M., Sahal, A., & Nur Aini, F. (2023). Multi-Step Vector Output Prediction of Time Series Using EMA LSTM. Jurnal Online Informatika, 8(1), 107–114. https://doi.org/10.15575/join.v8i1.1037

Erasmus, E., Rothmann, S., & Van Eeden, C. (2015). A Structural Model of Technology Acceptance. SA Journal of Industrial Psychology, 41(1). https://doi.org/10.4102/sajip.v41i1.1222

Farisi, M. N., & Zuraidah, E. (2022). Analisa Kualitas Aplikasi Performance Simanis dengan Metode End User Computing Satisfaction (EUCS). Journal of Informatics Management and Information Technology, 2(3), 109–121. https://doi.org/10.47065/jimat.v2i3.169

Ichsan, M., Hasnah, R., Faiz, M., & Musi, S. (2024). Analisis Konvergensi Media: Studi Transformasi dari Media Analog ke Media Digital. Triwikrama: Jurnal Ilmu Sosial, 4(4), 19–30. https://doi.org/https://doi.org/10.6578/triwikrama.v4i4.4422

Irwansyah, I. (2019). Users’ Review on Converged News: Indonesia News Apps Case. Jurnal Komunikasi Indonesia, 8(3), 179–186. https://doi.org/10.7454/jki.v8i3.11368

Istiqomah, N., & Nuryana, I. K. D. (2023). Analisis Kepuasan Pengguna Pada Aplikasi Vidio Menggunakan Kombinasi Metode Technology Acceptance Model (TAM) dan Pieces Framework. Journal of Emerging Information Systems and Business Intelligence, 4(4), 200–207. https://ejournal.unesa.ac.id/index.php/JEISBI/article/download/57517/45173/

Johannes, J., Nanda Billy Amero, & M Hutagaol. (2024). Faktor Faktor Yang Mempengaruhi Customer Loyalty Pengguna Layanan Netflix di Indonesia. Jurnal Ekonomi Manajemen Sistem Informasi, 6(1), 256–272. https://doi.org/10.38035/jemsi.v6i1.2918

Khan, K. (2023). A Video Streaming in WLANs Taxonomy (ViSWAT). International Journal of Latest Engineering Research and Applications (IJLERA), 8(11), 62–83. https://doi.org/10.56581/IJLERA.8.11.62-83

Koralesky, K. E., Sirovica, L. V., Hendricks, J., Mills, K. E., von Keyserlingk, M. A. G., & Weary, D. M. (2023). Social Acceptance of Genetic Engineering Technology. PLOS ONE, 18(8), e0290070. https://doi.org/10.1371/journal.pone.0290070

Kumar, N., Zeadally, S., & Rodrigues, J. J. P. C. (2015). QoS-Aware Hierarchical Web Caching Scheme for Online Video Streaming Applications in Internet-Based Vehicular Ad Hoc Networks. IEEE Transactions on Industrial Electronics, 62(12), 7892–7900. https://doi.org/10.1109/TIE.2015.2425364

Marwanta, Y. Y., Badiyanto, B., & Irianto, O. (2023). Implementasi Metode Analysis Goms Pada User Interface dan User Experience Aplikasi Gojek dan Grab. Juti (Jurnal Teknologi Informasi), 1(2), 87. https://doi.org/10.26798/juti.v1i2.842

Mimma Maripatul Uula, & Sherrindra Avedta. (2023). Technology Acceptance Model (TAM) on Banking. Islamic Marketing Review, 2(1). https://doi.org/10.58968/imr.v2i1.238

Mohammadi, F., & Mahmoodi, F. (2019). Factors Affecting Acceptance and Use of Educational Wikis: Using Technology Acceptance Model (3). Interdisciplinary Journal of Virtual Learning in Medical Sciences, 3(4), 1–9. https://doi.org/10.5812/ijvlms.87484

Nabila, M. (2023). Rangkuman OTT 2022: Disney+ dan Netflix Kuasai Pangsa Pasar Indonesia. DailySocial.Id. https://dailysocial.id/post/tren-ott-indonesia-2022#google_vignette

Natalia, J., & Br Ginting, D. (2018). Analisis Pengaruh Kelengkapan Fitur, Persepsi Kemudahan Penggunaan, Kualitas Informasi, Kualitas Sistem, Persepsi Manfaat terhadap Kepuasan Penggunaan serta Dampaknya terhadap Loyalitas Pengguna Aplikasi Viu. Media Informatika, 17(3), 148–164. https://doi.org/10.37595/mediainfo.v17i3.19

Neuman. (2014). Social research methods: Qualitative and quantitative approaches (7th ed.). Pearson Education International.

Nurkholis, N., & Anggraini, R. Y. (2020). Determinants of E-Government Implementation Based on Technology Acceptance Model. Jurnal Dinamika Manajemen, 11(2), 184–197. https://doi.org/10.15294/jdm.v11i2.23853

Rahimi, B., Nadri, H., Lotfnezhad Afshar, H., & Timpka, T. (2018). A Systematic Review of the Technology Acceptance Model in Health Informatics. Applied Clinical Informatics, 9(3), 604–634. https://doi.org/10.1055/s-0038-1668091

Ramadhan, H. A., Purwaamijaya, B. M., & Guntara, R. G. (2023). Pengaruh User Experience terhadap Customer Satisfaction pada Aplikasi Seluler Streaming Vidio. JTIM (Jurnal Teknologi Informasi Dan Multimedia), 5(2), 122–133. https://doi.org/10.35746/jtim.v5i2.367

Salmassi, A. R. N., Kazemi, M., Mehraeen, M., & Malekzadeh, G. (2022). A Review of Most Applicable Theories and Models of Technology Acceptance. International Journal of Health Sciences, 9(1), 6022–6032. https://doi.org/10.53730/ijhs.v6nS7.13419

Sari, N., & Ramli, M. R. (2024). Transformasi Net TV: Penggunaan Netverse dalam Era Konvergensi Media. Jurnal Ilmu Komunikasi UHO: Jurnal Penelitian Kajian Ilmu Sosial Dan Informasi, 9(4), 894–908.

Septiani, A., & Budi, I. (2022). Klasifikasi Ulasan Pengguna Aplikasi: Studi Kasus Aplikasi Ipusnas Perpustakaan Nasional Republik Indonesia (PNRI). JIPI (Jurnal Ilmiah Penelitian Dan Pembelajaran Informatika), 7(4), 1110–1120. https://doi.org/10.29100/jipi.v7i4.3216

Soedewa, J. L., Febry, T., & Soetedja, V. (2021). Hubungan Tam Factors Terhadap Attitude Towards Mobile App Use. PERFORMA: Jurnal Manajemen Dan Start-Up Bisnis, 6(6).

Susanto, L. A. (2024). Komparasi Model Support Vector Machine dan K-Nearest Neighbor Pada Analisis Sentimen Aplikasi Polri Super App. Jurnal Informatika Dan Teknik Elektro Terapan, 12(2), 1180–1190. https://doi.org/10.23960/jitet.v12i2.4152

Sutinen, T., & Rivas, H. (2011). Multi-interface Extension to a Scalable Video Streaming Architecture. Journal of Communications, 6(9). https://doi.org/10.4304/jcm.6.9.700-710

Svendsen, G. B., Johnsen, J.-A. K., Almås-Sørensen, L., & Vittersø, J. (2013). Personality and Technology Acceptance: The Influence of Personality Factors on The Core Constructs of The Technology Acceptance Model. Behaviour & Information Technology, 32(4), 323–334. https://doi.org/10.1080/0144929X.2011.553740

Tahir, R., Harto, B., Rukmana, A. Y., Subekti, R., Waty, E., Situru, A. C., & Sepriano. (2023). Transformasi Bisnis di Era Digital (Teknologi Informasi dalam Mendukung Transformasi Bisnis di Era Digital). In Sonpedia Publishing (Issue August).

Tanggraeni, A. I., & Sitokdana, M. N. N. (2022). Analisis Sentimen Aplikasi E-Government pada Google Play Menggunakan Algoritma Naïve Bayes. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 9(2), 785–795. https://doi.org/10.35957/jatisi.v9i2.1835

Teo, T., & Jarupunphol, P. (2015). Dhammic Technology Acceptance Model (DTAM). Journal of Educational Computing Research, 52(1), 136–151. https://doi.org/10.1177/0735633114568859

Thunnissen, M. R., aan het Rot, M., van den Hoofdakker, B. J., & Nauta, M. H. (2022). Youth Psychopathology in Daily Life: Systematically Reviewed Characteristics and Potentials of Ecological Momentary Assessment Applications. Child Psychiatry & Human Development, 53(6), 1129–1147. https://doi.org/10.1007/s10578-021-01177-8

Vuković, M., Pivac, S., & Kundid, D. (2019). Technology Acceptance Model for the Internet Banking Acceptance in Split. Business Systems Research Journal, 10(2), 124–140. https://doi.org/10.2478/bsrj-2019-022

Wedari, L. K., Fatihah, A. N., & Rusmanto, T. (2022). Zoom Application Acceptance in Online Learning: An Analysis with the Technology Acceptance Model. International Journal of Information and Education Technology, 12(9), 821–830. https://doi.org/10.18178/ijiet.2022.12.9.1690

Xiong, X. Y., Wang, B., & Wang, D. X. (2012). Study on Adaptive QoS Solution of Real-Time Video Stream in Wireless Network. Advanced Materials Research, 532–533, 1124–1129. https://doi.org/10.4028/www.scientific.net/AMR.532-533.1124

Yusuf Rismanda Gaja, M., Maulana, I., & Komarudin, O. (2024). Analisis Sentimen Opini Pengguna Aplikasi Vidio Pada Ulasan Playstore Menggunakan Algoritma Naive Bayes. JATI (Jurnal Mahasiswa Teknik Informatika), 7(4), 2767–2774. https://doi.org/10.36040/jati.v7i4.7197