Students' Level of Agreement on the Effectiveness of Work from Home (WFH) as a Modern Working System: A Hypothesis Test Using the Binomial Distribution
DOI:
https://doi.org/10.63643/jges.v3i2.361Kata Kunci:
WFH, Efektivitas, Uji Binomial, Sistem Kerja ModernAbstrak
Work From Home (WFH) has become an increasingly popular modern working system due to its flexibility and ability to reduce commuting time. This study aims to examine students’ level of agreement regarding the effectiveness of WFH as a modern working system using the Binomial Test. A quantitative approach was employed, and data were collected through a questionnaire distributed using a voluntary response sampling technique. The study involved 50 student respondents whose responses were categorized into two groups: agree and disagree with the effectiveness of WFH. The data were analyzed using the Binomial Test with a hypothesized proportion of 60% and a significance level of 5%. The results showed that 31 respondents (62%) agreed that WFH is an effective working system, while 19 respondents (38%) disagreed. The Binomial Test yielded a p-value of 0.4465, which is greater than the significance level of 0.05. Therefore, the null hypothesis failed to be rejected, indicating that there is insufficient statistical evidence to conclude that the proportion of students who agree with the effectiveness of WFH exceeds 60%. Despite this result, the descriptive findings suggest that most students perceive WFH positively, particularly because it offers greater flexibility in time management and eliminates commuting time. However, several challenges were also identified, including difficulties in team coordination, distractions at home, limited work facilities, and reduced self-discipline. WFH is generally accepted by students as a modern working system, although its level of acceptance does not significantly exceed the proposed benchmark.
Referensi
L. A. Onnis, K. L. Tan, D. Morgan, and S. Sekhar, “Creating supportive technology-enhanced remote work environments: a review of the literature,” 2025, Emerald Publishing. doi: 10.1108/PR-05-2025-0547.
P. M. L. Ng, K. K. Lit, and C. T. Y. Cheung, “Remote work as a new normal? The technology-organization-environment (TOE) context,” Technol. Soc., vol. 70, Aug. 2022, doi: 10.1016/j.techsoc.2022.102022.
A. A. Alam and E. R. Dewi, “The Mediating Role of Technological Support in Enhancing Employee Productivity and Job Satisfaction through Remote Work Policies in Indonesia,” Jurnal Manajemen Bisnis, vol. 15, no. 2, pp. 347–365, Oct. 2024, doi: 10.18196/mb.v15i2.23050.
C. Ipsen, M. van Veldhoven, K. Kirchner, and J. P. Hansen, “Six key advantages and disadvantages of working from home in europe during covid-19,” Int. J. Environ. Res. Public Health, vol. 18, no. 4, pp. 1–19, Feb. 2021, doi: 10.3390/ijerph18041826.
F. Toscano and S. Zappalà, “Social isolation and stress as predictors of productivity perception and remote work satisfaction during the COVID-19 pandemic: The role of concern about the virus in a moderated double mediation,” Sustainability (Switzerland), vol. 12, no. 23, pp. 1–14, Dec. 2020, doi: 10.3390/su12239804.
L. Waizenegger, B. McKenna, W. Cai, and T. Bendz, “An affordance perspective of team collaboration and enforced working from home during COVID-19,” European Journal of Information Systems, vol. 29, no. 4, pp. 429–442, Jul. 2020, doi: 10.1080/0960085X.2020.1800417.
J. J. Maria Barrero Nicholas Bloom Steven Davis, J. Maria Barrero, N. Bloom, and S. J. Davis, “Why Working from Home Will Stick,” 2021. [Online]. Available: www.WFHresearch.com.
R. Nanthapodej, C. H. Liu, K. Nitisiri, and S. Pattanapairoj, “Hybrid differential evolution algorithm and adaptive large neighborhood search to solve parallel machine scheduling to minimize energy consumption in consideration of machine-load balance problems,” Sustainability (Switzerland), vol. 13, no. 10, May 2021, doi: 10.3390/su13105470.
A. A. Alam and E. R. Dewi, “The Mediating Role of Technological Support in Enhancing Employee Productivity and Job Satisfaction through Remote Work Policies in Indonesia,” Jurnal Manajemen Bisnis, vol. 15, no. 2, pp. 347–365, Oct. 2024, doi: 10.18196/mb.v15i2.23050.
F. Kirstein et al., “Patient-Reported Outcomes of Liposuction for Lipedema Treatment,” Healthcare (Switzerland), vol. 11, no. 14, Jul. 2023, doi: 10.3390/healthcare11142020.
P. Jurníčková, N. Matulayová, I. Olecká, H. Šlechtová, L. Zatloukal, and L. Jurníček, “Home-Office Managers Should Get Ready for the ‘New Normal,’” Adm. Sci., vol. 14, no. 2, Feb. 2024, doi: 10.3390/admsci14020034.
C. V. Kifor, R. F. Săvescu, and R. Dănuț, “Work from Home during the COVID-19 Pandemic—The Impact on Employees’ Self-Assessed Job Performance,” Int. J. Environ. Res. Public Health, vol. 19, no. 17, Sep. 2022, doi: 10.3390/ijerph191710935.
T. J. George, L. E. Atwater, D. Maneethai, and J. M. Madera, “Supporting the productivity and wellbeing of remote workers: Lessons from COVID-19,” Organ. Dyn., vol. 51, no. 2, Apr. 2022, doi: 10.1016/j.orgdyn.2021.100869.
H. Williamson, “An Evaluation of the Impacts of Remote Working Harry Williamson-Labour Market and Skills Unit IGEES Irish Government Economic and Evaluation Service,” 2022.
N. Farah, A. B. Azmi, U. Tun, and A. Razak, “The Impact of Work from Home (WFH) on Employee’s Satisfaction and Work Performance during Pandemic in Mining Organization,” 2022.
S. Toivonen, I. Blind, and R. Kyrö, “Perceived productivity when working from home: Insights into the global experience,” International Journal of Organizational Analysis, vol. 33, no. 12, pp. 56–74, 2025, doi: 10.1108/IJOA-10-2024-4945.
S. J. Stratton, “Population Sampling: Probability and Non-Probability Techniques,” Apr. 01, 2023, Cambridge University Press. doi: 10.1017/S1049023X23000304.
A. Purna singh, S. Vadakedath, and V. Kandi, “Clinical Research: A Review of Study Designs, Hypotheses, Errors, Sampling Types, Ethics, and Informed Consent,” Cureus, Jan. 2023, doi: 10.7759/cureus.33374.
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2025 Raymand Tan, Gimton Sinaga, Elvyra Danotti

Artikel ini berlisensiCreative Commons Attribution-ShareAlike 4.0 International License.










