Penilaian Publik terhadap Aplikasi Peduli Lindungi (Analisis Komparasi terhadap Aspek Demografi)
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Abstrak
The Indonesian government has utilized an application, named Peduli Lindungi, to assist in controlling the spread of Covid-19. This study was aimed to uncover the public’s views on the Peduli Lindungi application. An online survey was conducted by distributing the questionnaire through social media applications to gather 266 participants around Indonesian inhabitants using a convenience sampling method. The data were analyzed by applying an independent sample t-test and ANOVA to detect the differences of participants’ usefulness and easiness perception, attitude, privacy anxiety, and trust between gender, age, educational level, and occupation groups. The analysis showed that oldsters, graduate degree completion, and public workers had a higher level of perceived usefulness, attitude, and trust. The study also found the role of educational level and occupation in affecting the public’s perception. However, more studies are encouraged by broadly observing other types of views to design the most effective strategy in promoting the application.
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Referensi
Ajzen, Icek. 2020. “The Theory of Planned Behavior: Frequently Asked Questions.” Human Behavior and Emerging Technologies 2 (4): 314–24. https://doi.org/10.1002/hbe2.195.
Akraman, Robbi, Candiwan Candiwan, and Yudi Priyadi. 2018. “Pengukuran Kesadaran Keamanan Informasi Dan Privasi Pada Pengguna Smartphone Android Di Indonesia.” JURNAL SISTEM INFORMASI BISNIS 8 (2): 115. https://doi.org/10.21456/vol8iss2pp115-122.
Al-Azawei, Ahmed, Patrick Parslow, and Karsten Lundqvist. 2017. “Investigating the Effect of Learning Styles in a Blended E-Learning System: An Extension of the Technology Acceptance Model (TAM).” Australasian Journal of Educational Technology 33 (2).
Albesher, Abdulaziz, and Laurence Brooks. 2014. “The Effects of Individual Differences on Trust in E-Government Services: An Empirical Evaluation.” In Electronic Government and Electronic Participation, 120–29. International Federation for Information Processing.
Altmann, Samuel, Luke Milsom, Hannah Zillessen, Raffaele Blasone, Frederic Gerdon, Ruben Bach, Frauke Kreuter, Daniele Nosenzo, Séverine Toussaert, and Johannes Abeler. 2020. “Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study.” JMIR MHealth and UHealth 8 (8): e19857. https://doi.org/10.2196/19857.
An, Min Ho, Seng Chan You, Rae Woong Park, and Seongwon Lee. 2021. “Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-Sectional Survey Study.” JMIR Medical Informatics 9 (1): e25435. https://doi.org/10.2196/25435.
Beldad, Ardion D., and Sabrina M. Hegner. 2018. “Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue Using a Fitness App: A Structural Equation Modeling Approach.” International Journal of Human–Computer Interaction 34 (9): 882–93. https://doi.org/10.1080/10447318.2017.1403220.
Bittner, Jenny V., and Jeffrey Shipper. 2014. “Motivational Effects and Age Differences of Gamification in Product Advertising.” Journal of Consumer Marketing 31 (5): 391–400. https://doi.org/10.1108/JCM-04-2014-0945.
Blackwell, Courtney K., Alexis R. Lauricella, Ellen Wartella, Michael Robb, and Roberta Schomburg. 2013. “Adoption and Use of Technology in Early Education.” Computers & Education 69 (November): 310–19. https://doi.org/10.1016/j.compedu.2013.07.024.
Blom, Annelies G, Alexander Wenz, Carina Cornesse, Tobias Rettig, Marina Fikel, Sabine Friedel, Katja Möhring, Elias Naumann, Maximiliane Reifenscheid, and Ulrich Krieger. 2021. “Barriers to the Large-Scale Adoption of a COVID-19 Contact Tracing App in Germany: Survey Study.” Journal of Medical Internet Research 23 (3): e23362. https://doi.org/10.2196/23362.
Broeck, Evert Van den, Karolien Poels, and Michel Walrave. 2015. “Older and Wiser? Facebook Use, Privacy Concern, and Privacy Protection in the Life Stages of Emerging, Young, and Middle Adulthood.” Social Media + Society, July. https://doi.org/10.1177/2056305115616149.
Brown, Susan A., Alan R. Dennis, and Viswanath Venkatesh. 2010. “Predicting Collaboration Technology Use: Integrating Technology Adoption and Collaboration Research.” Journal of Management Information Systems 27 (2): 9–54. https://doi.org/10.2753/MIS0742-1222270201.
Cai, Zhihui, Xitao Fan, and Jianxia Du. 2017. “Gender and attitudes toward technology use: A meta-analysis.” Computers & Education 105: 1-13. https://doi.org/10.1016/j.compedu.2016.11.003
Camacho-Rivera, Marlene, Jessica Yasmine Islam, Argelis Rivera, and Denise Christina Vidot. 2020. “Attitudes Toward Using COVID-19 MHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey.” JMIR MHealth and UHealth 8 (12): e24693. https://doi.org/10.2196/24693.
Chang, Joshua, Grant O’Neill, and Antonio Travaglione. 2016. “Demographic Influences on Employee Trust towards Managers.” International Journal of Organizational Analysis 24 (2): 246–60. https://doi.org/10.1108/IJOA-06-2014-0774.
Davis, Fred. D. 1989. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly 13 (3): 319–40.
Defianti, Ika. 2021. “Pengembangan Aplikasi Peduli Lindungi, ELSAM Minta Pemerintah Jamin Perlindungan Data Pribadi.” News Liputan6.Com. September 28, 2021. https://www.liputan6.com/news/read/4670480/pengembangan-aplikasi-Peduli Lindungi-elsam-minta-pemerintah-jamin-perlindungan-data-pribadi.
Dida, Susanne, Hanny Hafiar, Anissa Lestari Kadiyono, and Syauqy Lukman. 2021. “Gender, Education, and Digital Generations as Determinants of Attitudes toward Health Information for Health Workers in West Java, Indonesia.” Heliyon 7 (1): e05916. https://doi.org/10.1016/j.heliyon.2021.e05916.
Doulani, Abbas. 2019. “An Assessment of Effective Factors in Technology Acceptance Model: A Meta- Analysis Study.” Journal of Scientometric Research 7 (3): 153–66. https://doi.org/10.5530/jscires.7.3.26.
Dowthwaite, Liz, Joel Fischer, Elvira Perez Vallejos, Virginia Portillo, Elena Nichele, Murray Goulden, and Derek McAuley. 2021. “Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study.” Journal of Medical Internet Research 23 (9): e29085. https://doi.org/10.2196/29085.
Faqih, Khaled M. S. and Mohammed-Issa R. M. Jaradat. 2015. “Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective.” Journal of Retailing and Consumer Services 22: 37–52. http://dx.doi.org/10.1016/j.jretconser.2014.09.006
Haerani, Erna, and Alam Rahmatulloh. 2021. “Analisis User Experience Aplikasi Peduli Lindungi Untuk Menunjang Proses Bisnis Berkelanjutan.” SATIN - Sains Dan Teknologi Informasi 7 (2): 01–10. https://doi.org/10.33372/stn.v7i1.762.
Hanum, Apriliana Latifah, Tiara Karunia Miranti, Diah Fatmawati, Muhamad Frendi Diyon, and Cahyo Joyo Prawiro. 2022. “Analisis User Experience Aplikasi Mobile Peduli Lindungi Menggunakan Heart Metrics.” Jurnal Health Sains 3 (2): 362–72. https://doi.org/10.46799/jsa.v3i2.390.
Hinkin, Timothy R. 1998. “A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires.” Organizational Research Methods 1 (1): 104–21. https://doi.org/10.1177/109442819800100106.
Islam, S.M. Didar-Ul, Md. Bodrud-Doza, Rafid Mahmud Khan, Md. Abidul Haque, and Mohammed A. Mamun. 2020. “Exploring COVID-19 Stress and Its Factors in Bangladesh: A Perception-Based Study.” Heliyon 6 (7): e04399. https://doi.org/10.1016/j.heliyon.2020.e04399.
Joo, Jihyuk, and Yoonmo Sang. 2013. “Exploring Koreans’ Smartphone Usage: An Integrated Model of the Technology Acceptance Model and Uses and Gratifications Theory.” Computers in Human Behavior 29 (2013): 2512–2518. https://doi.org/http://dx.doi.org/10.1016/j.chb.2013.06.002.
Kamal, Syeda Ayesha, Muhammad Shafiq, and Priyanka Kakria. 2020. “Investigating Acceptance of Telemedicine Services through an Extended Technology Acceptance Model (TAM).” Technology in Society 60 (February): 101212. https://doi.org/10.1016/j.techsoc.2019.101212.
Kenny, Grace, and Regina Connolly. 2016. “Drivers of Health Information Privacy Concern: A Comparison Study.” In Healthcare Informatics and Information Technology (SIGHealth). Americas’ Conference on Information Systems.
Kim, Jeongeun, and Hyeoun-Ae Park. 2012. “Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention.” Journal of Medical Internet Research 14 (5): e133. https://doi.org/10.2196/jmir.2143.
Koglbauer, Ioana, Jürgen Holzinger, Arno Eichberger, and Cornelia Lex. 2018. “Autonomous Emergency Braking Systems Adapted to Snowy Road Conditions Improve Drivers’ Perceived Safety and Trust.” Traffic Injury Prevention 19 (3): 332–37. https://doi.org/10.1080/15389588.2017.1407411.
Koivisto, Jonna, and Juho Hamari. 2014. “Demographic Differences in Perceived Benefits from Gamification.” Computers in Human Behavior 35 (June): 179–88. https://doi.org/10.1016/j.chb.2014.03.007.
Kurniawati, M Khadapi, D Riana, A Arfian, E Rahmawati, and Heriyanto. 2020. “Public Acceptance Of Peduli Lindungi Application In The Acceleration Of Corona Virus (Covid-19) Handling.” Journal of Physics: Conference Series 1641 (November): 012026. https://doi.org/10.1088/1742-6596/1641/1/012026.
Kusyanti, Ari, Dita Rahma Puspitasari, Harin Puspa Ayu Catherina, and Yustiyana April Lia Sari. 2017. “Information Privacy Concerns on Teens as Facebook Users in Indonesia.” In Procedia Computer Science, 124:632–38. https://doi.org/10.1016/j.procs.2017.12.199.
Lee, Hwansoo, Siew Fan Wong, and Younghoon Chang. 2016. “CONFIRMING THE EFFECT OF DEMOGRAPHIC CHARACTERISTICS ON INFORMATION PRIVACY CONCERNS.” In The 20th Pacific Asia Conference on Information Systems, 70.
Lemmers-Jansen, Imke L.J., Lydia Krabbendam, Dick J. Veltman, and Anne-Kathrin J. Fett. 2017. “Boys vs. Girls: Gender Differences in the Neural Development of Trust and Reciprocity Depend on Social Context.” Developmental Cognitive Neuroscience 25 (June): 235–45. https://doi.org/10.1016/j.dcn.2017.02.001.
Li, T., and H. H. Fung. 2013. “Age Differences in Trust: An Investigation Across 38 Countries.” The Journals of Gerontology Series B: Psychological Sciences and Social Sciences 68 (3): 347–55. https://doi.org/10.1093/geronb/gbs072.
Lin, Pellaeon, Jeffrey Knockel, Irene Poetranto, Stephanie Tran, Justin Lau, and Adam Senf. 2020. “Unmasked II: An Analysis of Indonesia and the Philippines’ Governmentlaunched COVID-19 Apps.”
Malik, Aqdas, Kari Hiekkanen, and Marko Nieminen. 2016. “Privacy and Trust in Facebook Photo Sharing: Age and Gender Differences.” Program 50 (4): 462–80. https://doi.org/10.1108/PROG-02-2016-0012.
Mustopa, Ali, Hermanto, Anna, Eri Bayu Pratama, Ade Hendini, and Deni Risdiansyah. 2020. “Analysis of User Reviews for the Peduli Lindungi Application on Google Play Using the Support Vector Machine and Naive Bayes Algorithm Based on Particle Swarm Optimization.” In 2020 Fifth International Conference on Informatics and Computing (ICIC), 1–7. IEEE. https://doi.org/10.1109/ICIC50835.2020.9288655.
Niehaves, Björn, and Ralf Plattfaut. 2014. “Internet Adoption by the Elderly: Employing IS Technology Acceptance Theories for Understanding the Age-Related Digital Divide.” European Journal of Information Systems 23 (6): 708–26. https://doi.org/10.1057/ejis.2013.19.
Nugraha, Ricky Mohammad. 2020. “Kominfo Launches COVID-19 Tracking App - Sci En.Tempo.Co.” TEMPO.CO. April 14, 2020. https://en.tempo.co/read/1331513/kominfo-launches-covid-19-tracking-app.
Oldeweme, Andreas, Julian Märtins, Daniel Westmattelmann, and Gerhard Schewe. 2021. “The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing Apps.” Journal of Medical Internet Research 23 (2): e25893. https://doi.org/10.2196/25893.
Ong, Fon Sim, Norizan Mohd Kassim, Ooi Shal Peng, and Taranjeet Singh. 2014. “Purchase Behaviour of Consumers of Functional Foods in Malaysia: An Analysis of Selected Demographic Variables, Attitude and Health Status.” Asia Pacific Management Review 19 (1): 81–98. https://doi.org/10.6126/APMR.2014.19.1.05.
Pashaeypoor, Shahzad, Tahereh Ashktorab, Maryam Rassouli, and Hamid Alavi-Majd. 2016. “Predicting the Adoption of Evidence-Based Practice Using ‘Rogers Diffusion of Innovation Model.’” Contemporary Nurse 52 (1): 85–94. https://doi.org/10.1080/10376178.2016.1188019.
Phan, Thanh, and Daniela Damian, eds. 2022. Smart Cities in Asia. SpringerBriefs in Geography. Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-1701-1.
Rovira, Ericka, Anne Collins McLaughlin, Richard Pak, and Luke High. 2019. “Looking for Age Differences in Self-Driving Vehicles: Examining the Effects of Automation Reliability, Driving Risk, and Physical Impairment on Trust.” Frontiers in Psychology 10 (April). https://doi.org/10.3389/fpsyg.2019.00800.
Salloum, Said A., Ahmad Qasim Mohammad Alhamad, Mostafa Al-Emran, Azza Abdel Monem, and Khaled Shaalan. 2019. “Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model.” IEEE Access 7: 128445–62. https://doi.org/10.1109/ACCESS.2019.2939467.
Sandu, Nitirajsingh, and Ergun Gide. 2019. “Adoption of AI-Chatbots to Enhance Student Learning Experience in Higher Education in India.” In 2019 18th International Conference on Information Technology Based Higher Education and Training (ITHET), 1–5. IEEE. https://doi.org/10.1109/ITHET46829.2019.8937382.
Seto, Emily, Priyanka Challa, and Patrick Ware. 2021. “Adoption of COVID-19 Contact Tracing Apps:A Balance Between Privacy and Effectiveness.” Journal of Medical Internet Research 23 (3): e25726.
Sherissa, Laneisha, and Fikri Akbarsyah Anza. 2022. “Analisis E-Service Quality Pada Aplikasi Peduli Lindungi Selama Masa Pandemi Covid-19 Di DKI Jakarta.” Publisia: Jurnal Ilmu Administrasi Publik 7 (1): 26–36. https://doi.org/10.26905/pjiap.v7i1.7494.
Škrinjarić, Bruno, Jelena Budak, and Edo Rajh. 2019. “Perceived Quality of Privacy Protection Regulations and Online Privacy Concern.” Economic Research-Ekonomska Istraživanja 32 (1): 982–1000. https://doi.org/10.1080/1331677X.2019.1585272.
Steijn, Wouter M. P., Alexander P. Schouten, and Anton H. Vedder. 2016. “Why Concern Regarding Privacy Differs: The Influence of Age and (Non-)Participation on Facebook.” Cyberpsychology: Journal of Psychosocial Research on Cyberspace 10 (1): article3. https://doi.org/10.5817/CP2016-1-3.
Sudiarsa, I Wayan, and I Gusti Bagus Wiraditya. 2020. “Analisis Usability Pada Aplikasi Peduli Lindungi Sebagai Aplikasi Informasi Dan Tracking Covid-19 Dengan Heuristic Evaluation.” INTECOMS: Journal of Information Technology and Computer Science 3 (2): 354–64. https://doi.org/10.31539/intecoms.v3i2.1901.
Taipale, Sakari. 2013. “The Use of E-Government Services and the Internet: The Role of Socio-Demographic, Economic and Geographical Predictors.” Telecommunications Policy 37 (4–5): 413–22. https://doi.org/10.1016/j.telpol.2012.05.005.
Tomczyk, Samuel, Simon Barth, Silke Schmidt, and Holger Muehlan. 2021. “Utilizing Health Behavior Change and Technology Acceptance Models to Predict the Adoption of COVID-19 Contact Tracing Apps: Cross-Sectional Survey Study.” Journal of Medical Internet Research 23 (5): e25447. https://doi.org/10.2196/25447.
Trang, Simon, Manuel Trenz, Welf H. Weiger, Monideepa Tarafdar, and Christy M.K. Cheung. 2020. “One App to Trace Them All? Examining App Specifications for Mass Acceptance of Contact-Tracing Apps.” European Journal of Information Systems 29 (4): 415–28. https://doi.org/10.1080/0960085X.2020.1784046.
Venkatesh, Thong, and Xu. 2012. “Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology.” MIS Quarterly 36 (1): 157. https://doi.org/10.2307/41410412.
Verma, Jaya, and Amar Shankar Mishra. 2020. “COVID-19 Infection: Disease Detection and Mobile Technology.” PeerJ 8 (November): e10345. https://doi.org/10.7717/peerj.10345.
Verma, Nitin, Kenneth R. Fleischmann, and Kolina S. Koltai. 2018. “Demographic Factors and Trust in Different News Sources.” Proceedings of the Association for Information Science and Technology 55 (1): 524–33. https://doi.org/10.1002/pra2.2018.14505501057.
Vogels, Emily A. 2019. “Millennials Stand out for Their Technology Use | Pew Research Center.” Pew Research Center. September 9, 2019. https://www.pewresearch.org/fact-tank/2019/09/09/us-generations-technology-use/.
Walrave, Michel, Cato Waeterloos, and Koen Ponnet. 2021. “Ready or Not for Contact Tracing? Investigating the Adoption Intention of COVID-19 Contact-Tracing Technology Using an Extended Unified Theory of Acceptance and Use of Technology Model.” Cyberpsychology, Behavior, and Social Networking 24 (6): 377–83. https://doi.org/10.1089/cyber.2020.0483.
Wu, Kewen, Yuxiang Zhao, Qinghua Zhu, Xiaojie Tan, and Hua Zheng. 2011. “A Meta-Analysis of the Impact of Trust on Technology Acceptance Model: Investigation of Moderating Influence of Subject and Context Type.” International Journal of Information Management 31 (6): 572–81. https://doi.org/10.1016/j.ijinfomgt.2011.03.004.
Wyl, Viktor von, Marc Höglinger, Chloé Sieber, Marco Kaufmann, André Moser, Miquel Serra-Burriel, Tala Ballouz, Dominik Menges, Anja Frei, and Milo Alan Puhan. 2021. “Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis.” JMIR Public Health and Surveillance 7 (1): e25701. https://doi.org/10.2196/25701.
Yan, Shuxian, Feng Xu, Chunxue Yang, Fei Li, Jing Fan, Linggao Wang, Minqiang Cai, Jianfeng Zhu, Haidong Kan, and Jinhua Xu. 2015. “Demographic Differences in Sun Protection Beliefs and Behavior: A Community-Based Study in Shanghai, China.” International Journal of Environmental Research and Public Health 12 (3): 3232–45. https://doi.org/10.3390/ijerph120303232.
Ye, Jiancheng. 2020. “The Role of Health Technology and Informatics in a Global Public Health Emergency: Practices and Implications From the COVID-19 Pandemic.” JMIR Medical Informatics 8 (7): e19866. https://doi.org/10.2196/19866.
Zeffane, Rachid. 2018. “Do Age, Work Experience and Gender Affect Individuals’ Propensity to Trust Others? An Exploratory Study in the United Arab Emirates.” International Journal of Sociology and Social Policy 38 (3/4): 210–23. https://doi.org/10.1108/IJSSP-07-2017-0093.
Zeissig, Eva-Maria, Chantal Lidynia, Luisa Vervier, Andera Gadeib, and Martina Ziefle. 2017. “Online Privacy Perceptions of Older Adults.” In Human Aspects of IT for the Aged Population. Applications, Services and Contexts, 181–200. International Conference on Human Aspects of IT for the Aged Population. https://doi.org/10.1007/978-3-319-58536-9_16.