Analysis Of Factors Affecting Internet Consumption Among Upper Secondary Students

Authors

  • Lustawi Limbong Universitas Negeri Jakarta
  • Usep Suhud
  • Agus Wibowo

DOI:

https://doi.org/10.21009/ISC-BEAM.013.133

Keywords:

Internet Usage, Academic needs, Learning, Data Package costs, Technological infrastructure

Abstract

This research wants to identify the factors influencing the use of the internet data package for students of the Senior High School level, particularly students with an age range of 14 to 18 years. The result of the research, through a survey of 115 respondents, shows that the use of the data package is on account of academic need, with the greater share being online learning and learning materials. This is evidenced by the fact that 80% of the respondents use the internet for academic-related issues, such as doing homework and holding online classes. While 60% use the consumed quota for entertainment purposes—social media, video streaming, online games, and the like—the remaining ones, 45%, choose a price that fits their budget, based on either offered promos or rates and services. Next, a 40% social influence follows a recommendation from the social environment. Up to 55% of the respondents base their selection and consumption of package data on the technological infrastructure, to mean the availability of digital gadgets and quality network. In such a way, content analysis has been used in this study to discern consumption patterns. Of the test results from this research, it is believed that it will further improve the understanding of trends in using package data for high school students and their associates to improve the availability and quality of Internet services for academic purposes.

 

References

Abuhassna, H., Al-Rahmi, W. M., Yahya, N., Zakaria, M. A. Z. M., Kosnin, A. B. M., & Darwish, M. (2020). Development of a new model on utilizing online learning platforms to improve students’ academic achievements and satisfaction. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-020-00216-z

Akpan, I. J., & Akpan, A. A. (2017). the Impact of Internet Use on Students’ Learning Outcomes in Higher Education in Developing Countries. International Journal of Education Research, 12(1), 45–55.

Alshanqiti, A., Alharbi, O. A., Ismaeel, D. M., & Abuanq, L. (2023). Social Media Usage and Academic Performance Among Medical Students in Medina, Saudi Arabia. Advances in Medical Education and Practice, 14, 1401–1412. https://doi.org/10.2147/AMEP.S434150

Ansari, J. A. N., & Khan, N. A. (2020). Exploring the role of social media in collaborative learning the new domain of learning. Smart Learning Environments, 7(1). https://doi.org/10.1186/s40561-020-00118-7

Bernard R. McCoy. (2020). Gen Z and Digital Distractions in the Classroom: Student Classroom Use of Digital Devices for Non-Class Related Purposes. Journalism and Mass Communications, 1–34.

Camilleri, M. A., & Falzon, L. (2021). Understanding motivations to use online streaming services: integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT). Spanish Journal of Marketing - ESIC, 25(2), 217–238. https://doi.org/10.1108/SJME-04-2020-0074

Chin, J., Callaghan, V., & Ben Allouch, S. (2019). The Internet-of-Things: Reflections on the past, present and future from a user-centered and smart environment perspective. Journal of Ambient Intelligence and Smart Environments, 11(1), 45–69. https://doi.org/10.3233/AIS-180506

Dong, H., Yang, F., Lu, X., & Hao, W. (2020). Internet Addiction and Related Psychological Factors Among Children and Adolescents in China During the Coronavirus Disease 2019 (COVID-19) Epidemic. Frontiers in Psychiatry, 11(September), 1–9. https://doi.org/10.3389/fpsyt.2020.00751

Ganong, P., & Noel, P. (2019). Consumer spending during unemployment: Positive and normative implications. American Economic Review, 109(7), 2383–2424. https://doi.org/10.1257/aer.20170537

Gómez-Galán, J., Martínez-López, J. Á., Lázaro-Pérez, C., & Sánchez-Serrano, J. L. S. (2020). Social networks consumption and addiction in college students during the COVID-19 pandemic: Educational approach to responsible use. Sustainability (Switzerland), 12(18), 1–17. https://doi.org/10.3390/su12187737

Guerna, A., Bitam, S., & Calafate, C. T. (2022). Roadside Unit Deployment in Internet of Vehicles Systems: A Survey. Sensors, 22(9), 1–31. https://doi.org/10.3390/s22093190

Jayadev H. Kadli; Kumba, B.D. and Kanamadi, S. (2010). Students Perspectives on Internet Usage: A Case Study. Information Studies, 16(2), 121–130.

Kırcaburun, K., Kokkinos, C. M., Demetrovics, Z., Király, O., Griffiths, M. D., & Çolak, T. S. (2019). Problematic Online Behaviors among Adolescents and Emerging Adults: Associations between Cyberbullying Perpetration, Problematic Social Media Use, and Psychosocial Factors. International Journal of Mental Health and Addiction, 17(4), 891–908. https://doi.org/10.1007/s11469-018-9894-8

Kochhar, S., Singh, K., Pani, P., & Kansal, S. (2013). Knowledge and Usage of Internet among different professional students in India. Journal of Education and General Studies, 2(7), 233–238.

Kusumaningati, I. D. (2024). ANALYSIS OF NETWORK RATES ACCESSED TO CASH. In … Sustainable Development Journal. journal.shantibhuana.ac.id. https://journal.shantibhuana.ac.id/index.php/msd/article/download/844/370

Logeshwaran, J., Ramkumar, M., Kiruthiga, T., & Ravi, S. P. (2022). the Role of Integrated Structured Cabling System (Iscs) for Reliable Bandwidth Optimization in High Speed Communication Network. ICTACT Journal on Communication Technology, 13(1), 2635–2639. https://doi.org/10.21917/ijct.2022.0389

Lombardi, M., Pascale, F., & Santaniello, D. (2021). Internet of things: A general overview between architectures, protocols and applications. Information (Switzerland), 12(2), 1–21. https://doi.org/10.3390/info12020087

Mandasari, B. (2020). The Impact of Online Learning toward Students’ Academic Performance on Business Correspondence Course. EDUTEC : Journal of Education And Technology, 4(1), 98–110. https://doi.org/10.29062/edu.v4i1.74

Martínez-Domínguez, M., & Mora-Rivera, J. (2020). Internet adoption and usage patterns in rural Mexico. Technology in Society, 60(June 2019). https://doi.org/10.1016/j.techsoc.2019.101226

Mitsis, G., Apostolopoulos, P. A., Tsiropoulou, E. E., & Papavassiliou, S. (2019). Intelligent dynamic data offloading in a competitive Mobile Edge Computing market. Future Internet, 11(5), 1–19. https://doi.org/10.3390/fi11050118

Nguyen, H. V, & Byeon, H. (2022). Analysis of the Elderly’s Internet Accessed Time using XGB Machine Learning Model for Solving the Level of the Information Gap of the Elderly. In … Journal of Advanced Computer Science …. researchgate.net. https://www.researchgate.net/profile/Haewon-Byeon/publication/359583018_Analysis_of_the_Elderly’s_Internet_Accessed_Time_using_XGB_Machine_Learning_Model_for_Solving_the_Level_of_the_Information_Gap_of_the_Elderly/links/624459835e2f8c7a034ab437/Analysis-o

Oh, H., Park, S., Lee, G. M., Heo, H., & Choi, J. K. (2019). Personal Data Trading Scheme for Data Brokers in IoT Data Marketplaces. IEEE Access, 7, 40120–40132. https://doi.org/10.1109/ACCESS.2019.2904248

Özad, B. E., & Kutoǧlu, Ü. (2010). The use of the internet in media education. Turkish Online Journal of Educational Technology, 9(2), 245–255.

Ramón-Arbués, E., Granada-López, J. M., Martínez-Abadía, B., Echániz-Serrano, E., Antón-Solanas, I., & Nash, M. (2021). Prevalence and factors associated with problematic internet use in a population of spanish university students. International Journal of Environmental Research and Public Health, 18(14). https://doi.org/10.3390/ijerph18147620

Sha, P., Sariyska, R., Riedl, R., Lachmann, B., & Montag, C. (2019). Linking Internet Communication and Smartphone Use Disorder by taking a closer look at the Facebook and WhatsApp applications. Addictive Behaviors Reports, 9(September 2018). https://doi.org/10.1016/j.abrep.2018.100148

Sharov, S., Vorovka, M., Sharova, T., & Zemlianska, A. (2021). The impact of social networks on the development of students’ social competence. International Journal of Engineering Pedagogy, 11(3), 84–98. https://doi.org/10.3991/IJEP.V11I3.20491

Spirin, O., Oleksiuk, V., Balyk, N., Lytvynova, S., & Sydorenko, S. (2019). The blended methodology of learning computer networks: Cloud-based approach. CEUR Workshop Proceedings, 2393, 68–80.

Srinidhi, N. N., Dilip Kumar, S. M., & Venugopal, K. R. (2019). Network optimizations in the Internet of Things: A review. Engineering Science and Technology, an International Journal, 22(1), 1–21. https://doi.org/10.1016/j.jestch.2018.09.003

Storck, C. R., & Duarte-Figueiredo, F. (2020). A Survey of 5G Technology Evolution, Standards, and Infrastructure Associated with Vehicle-to-Everything Communications by Internet of Vehicles. IEEE Access, 8, 117593–117614. https://doi.org/10.1109/ACCESS.2020.3004779

Suana, W., Riyanda, A. R., & Putri, N. M. A. A. (2019). Internet Access and Internet Self-efficacy of High School Students. Journal of Educational Science and Technology (EST), 5(2), 110–117. https://doi.org/10.26858/est.v5i2.8397

Sugaya, N., Shirasaka, T., Takahashi, K., & Kanda, H. (2019). Bio-psychosocial factors of children and adolescents with internet gaming disorder: A systematic review. BioPsychoSocial Medicine, 13(1), 1–16. https://doi.org/10.1186/s13030-019-0144-5

Sundari, H. (2022). ANALYZING NEEDS OF ONLINE-BASED EFL ACADEMIC WRITING COURSE: STUDENTS’VOICES IN COURSE DESIGN. In Research and Development Journal of Education. academia.edu. https://www.academia.edu/download/98409570/11215-34330-1-PB.pdf

Supiyanti, Iriyadi, F. (2022). Journal of Technology and Science Education. Journal of Technology and Science Education, 4(4), 215–227. http://www.jotse.org/index.php/jotse/article/view/110/142

van Deursen, A. J. A. M., & van Dijk, J. A. G. M. (2019). The first-level digital divide shifts from inequalities in physical access to inequalities in material access. New Media and Society, 21(2), 354–375. https://doi.org/10.1177/1461444818797082

Wang, G., Feng, G., Qin, S., Wen, R., & Sun, S. (2019). Optimizing Network Slice Dimensioning via Resource Pricing. IEEE Access, 7, 30331–30343. https://doi.org/10.1109/ACCESS.2019.2902432

We, A. T. E., Accounting, M., Gorodnichenko, Y., Heidhues, P., Kamdar, R., Kaufmann, M., Laibson, D., Shleifer, A., & Strack, P. (2020). Oszegi and. 1153–1207. https://doi.org/10.1093/qje/qjz043.Advance

Wiradhany, W., & Baumgartner, S. E. (2019). Exploring the variability of media multitasking choice behaviour using a network approach. Behaviour and Information Technology, 38(12), 1355–1368. https://doi.org/10.1080/0144929X.2019.1589575

Khairinal, K., Syuhada, S., & Sitinjak, R. S. (2022). Pengaruh Media Sosial, Konformitas, dan Pendidikan Ekonomi keluarga, terhadap perilaku Konsumtif Siswa Kelas XI Smk 1 Kota Jambi Tahun Pelajaran 2021/2022. Jurnal Manajemen Pendidikan Dan Ilmu Sosial, 3(2), 923–938.

Krisnawati, E. (2016). Perilaku Konsumsi Media Oleh Kalangan Remaja Dalam Pencarian Informasi. In Komunikatif (Vol. 5, Issue 1, pp. 43–69).

Noviyarto, H. (2017). Pengaruh Perilaku Konsumen Mobile Internet Terhadap Keputusan Pembelian Paket Layanan Data Unlimited Internet CDMA di DKI Jakarta. Jurnal Telekomunikasi Dan Komputer, 1(2), 107. https://doi.org/10.22441/incomtech.v1i2.1099

Nur Rahma, A. (2018). PENGARUH INTENSITAS MENGAKSES INSTAGRAM TERHADAP PERILAKU KONSUMTIF SISWA-SISWI SMA MUHAMMADIYAH 1 KOTA MAGELANG SKRIPSI Diajukan kepada Fakultas Dakwah dan Komunikasi Universitas Islam Negeri Sunan Kalijaga Yogyakarta untuk Memenuhi Sebagian Syarat-syara. 1–65.

Santoso, A. K., & Prasetyo, A. R. (2021). Hubungan Self Monitoring Dengan Perilaku Konsumtif Pembelian Gadget Pada Siswa Sma Islam Al Azhar 14 Semarang. Jurnal EMPATI, 9(6), 482–489. https://doi.org/10.14710/empati.2020.30068

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Published

2025-04-25

How to Cite

Limbong, L., Suhud, U., & Wibowo, A. (2025). Analysis Of Factors Affecting Internet Consumption Among Upper Secondary Students . International Student Conference on Business, Education, Economics, Accounting, and Management (ISC-BEAM), 3(1), 1737–1754. https://doi.org/10.21009/ISC-BEAM.013.133

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