Development of public service advertisement about environmental cleanliness using after effect based on motion graphic animation

Dandi Rajki Nurpadilah; Amir Hamzah Pohan; Charmiyanti Nurkentjana Aju; Mochamad Sanwasih; Khadijah Khadijah

doi:10.55942/pssj.v5i5.346

Authors

Dandi Rajki Nurpadilah Boash Digital Polytechnic of Indonesia https://orcid.org/0009-0002-3791-0764
Amir Hamzah Pohan Boash Digital Polytechnic of Indonesia https://orcid.org/0000-0003-0039-521X
Charmiyanti Nurkentjana Aju Boash Digital Polytechnic of Indonesia https://orcid.org/0009-0002-3032-1094
Mochamad Sanwasih Boash Digital Polytechnic of Indonesia https://orcid.org/0009-0000-6221-8396
Khadijah Khadijah Boash Digital Polytechnic of Indonesia

DOI:

https://doi.org/10.55942/pssj.v5i5.346

Keywords:

Public Service Announcement, Motion Graphic Animation, Environmental Behavior, Urban Communication, Bogor Indonesia

Abstract

Advertising is one of the most powerful promotional ways to convey a message or promote something, public service advertisements are one type of advertisement that contains a message to be conveyed to the public. Conventional public service advertisements are usually less interesting because they are not very creative so that people who watch are not interested in the advertisement and the content of the message of the public service advertisement is not conveyed. In making this Motion Graphic Animation mutimedia-based public service advertisement, the author uses the literature study method for data collection and the author uses multimedia-based software such as Adobe After Effect and Adobe Illustrator as support in working on this public service advertisement. This research aims to make people more interested in watching public service advertisements and can understand and apply the useful messages in these public service advertisements.

Author Biographies

Dandi Rajki Nurpadilah, Boash Digital Polytechnic of Indonesia

Dandi Rajki Nurpadilah is an undergraduate student in the Multimedia Engineering Technology Study Program at Boash Digital Polytechnic of Indonesia. His academic interests include digital media design, motion graphics, and the application of augmented reality for public communication. He has participated in several multimedia-based social campaigns and academic research focused on civic engagement through creative digital content. Dandi is also actively involved in the development of augmented reality applications that aim to promote local culture and environmental awareness.

Amir Hamzah Pohan, Boash Digital Polytechnic of Indonesia

Amir Hamzah Pohan is a lecturer with twenty years of experience working alongside executive teams in research. He specializes in AI technology and is responsible for educating students on the use of advanced systems and applications, including AI software, mass communication procedures, and organizational tools. Amir Pohan is a strong presence in the workplace, known for his positive attitude and tireless energy, which he uses to motivate others to work hard and succeed. He is inspired daily by his wife and their daughter. In his free time, Amir Pohan enjoys hiking, crocheting, and playing video games with his grandson.

Charmiyanti Nurkentjana Aju, Boash Digital Polytechnic of Indonesia

Charmiyanti Nurkentjana Aju is a lecturer in the Multimedia Engineering Technology Department at Politeknik Digital Boash Indonesia. She has professional experience as an IT practitioner and has built a strong background in academia and teaching. She has also participated in various research projects across the fields of Information Technology and Multimedia.

Mochamad Sanwasih, Boash Digital Polytechnic of Indonesia

Mohammad Sanwasih is a dedicated academic currently serving as a Lecturer in the Multimedia Program. His main areas of expertise include statistics, probability, and computer networks. He has collaborated with students on research projects, including a study focused on computer network systems.

Khadijah Khadijah, Boash Digital Polytechnic of Indonesia

Khadijah is a dedicated academic currently serving as a Lecturer in the Multimedia Program. Her research interests include Graphic Design, UI/UX, Augmented Reality, and 2D/3D Animation. She has collaborated with students on a project exploring the use of Augmented Reality for indoor campus navigation, which received BIMA research funding in 2024.

References

Abbott, M. L. (2016). Using statistics in the social and health sciences with SPSS and excel. John Wiley & Sons. https://www.amazon.com/Using-Statistics-Social-Health-Sciences/dp/1119121043 DOI: https://doi.org/10.1002/9781119121077

Albarrak, A. I., Mohammed, R., Almarshoud, N., Almujalli, L., Aljaeed, R., Altuwaijiri, S., & Albohairy, T. (2021). Assessment of physician’s knowledge, perception and willingness of telemedicine in Riyadh region, Saudi Arabia. Journal of Infection and Public Health, 14(1), 97–102. https://doi.org/10.1016/j.jiph.2019.04.006 DOI: https://doi.org/10.1016/j.jiph.2019.04.006

Alghamdi, S. M., Aldhahir, A. M., Alqahtani, J. S., Siraj, R. A., Alsulayyim, A. S., Almojaibel, A. A., Alhotye, M., Alanazi, A. M., & Alqarni, A. A. (2022). Healthcare Providers’ Perception and Barriers Concerning the Use of Telehealth Applications in Saudi Arabia: A Cross-Sectional Study. Healthcare, 10(8), Article 8. https://doi.org/10.3390/healthcare10081527 DOI: https://doi.org/10.3390/healthcare10081527

Alharbi, N. S., AlGhanmi, A. S., & Fahlevi, M. (2022). Adoption of Health Mobile Apps during the COVID-19 Lockdown: A Health Belief Model Approach. International Journal of Environmental Research and Public Health, 19(7), 4179. https://doi.org/10.3390/ijerph19074179

Alharbi, N. S., Alghanmi, A. S., & Fahlevi, M. (2022). Public Awareness, Uses, And Acceptance Towards Government Health Mobile Apps During The Covid-19 Lockdown: The Case Of Saudi Arabia. ICIC Express Letters, Part B: Applications, 13(9), 887–895. Scopus. https://doi.org/10.24507/icicelb.13.09.887 DOI: https://doi.org/10.3390/ijerph19074179

Alharbi, N. S., Alsubki, N., Altamimi, S. R., Alonazi, W., & Fahlevi, M. (2022). COVID-19 Mobile Apps in Saudi Arabia: Systematic Identification, Evaluation, and Features Assessment. Frontiers in Public Health, 10. https://www.frontiersin.org/article/10.3389/fpubh.2022.803677 DOI: https://doi.org/10.3389/fpubh.2022.803677

Alhashmi, S. F. S., Salloum, S. A., & Abdallah, S. (2020). Critical Success Factors for Implementing Artificial Intelligence (AI) Projects in Dubai Government United Arab Emirates (UAE) Health Sector: Applying the Extended Technology Acceptance Model (TAM). In A. E. Hassanien, K. Shaalan, & M. F. Tolba (Eds.), Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 (pp. 393–405). Springer International Publishing. https://doi.org/10.1007/978-3-030-31129-2_36

Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: The impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International, 5(3), 258-274. https://doi-org/10.1108/NBRI-01-2014-0005 DOI: https://doi.org/10.1108/NBRI-01-2014-0005

Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020). I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54, 101473. https://doi.org/10.1016/j.tele.2020.101473 DOI: https://doi.org/10.1016/j.tele.2020.101473

Ayat, Z., & Sami, A.-H. (2022). Infection prevention and control practices among primary healthcare nurses regarding COVID-19 in Saudi Arabia: A cross-sectional study. Annals of Medicine and Surgery, 77, 103298. https://doi.org/10.1016/j.amsu.2022.103298 DOI: https://doi.org/10.1016/j.amsu.2022.103298

Baskin, R. G., & Bartlett, R. (2021). Healthcare worker resilience during the COVID-19 pandemic: An integrative review. Journal of Nursing Management, 29(8), 2329–2342. https://doi.org/10.1111/jonm.13395 DOI: https://doi.org/10.1111/jonm.13395

Blandford, A., Wesson, J., Amalberti, R., AlHazme, R., & Allwihan, R. (2020). Opportunities and challenges for telehealth within, and beyond, a pandemic. The Lancet Global Health, 8(11), e1364–e1365. https://doi.org/10.1016/S2214-109X(20)30362-4 DOI: https://doi.org/10.1016/S2214-109X(20)30362-4

Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates Publishers. https://psycnet.apa.org/record/1998-07269-010

Chirico, F., Nucera, G., & Magnavita, N. (2020). COVID-19: Protecting healthcare workers is a priority. Infection Control & Hospital Epidemiology, 41(9), 1117–1117. https://doi.org/10.1017/ice.2020.148 DOI: https://doi.org/10.1017/ice.2020.148

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 DOI: https://doi.org/10.2307/249008

Donelan, K., Barreto, E. A., Sossong, S., Michael, C., Estrada, J. J., Cohen, A. B., Wozniak, J., & Schwamm, L. H. (2019). Patient and clinician experiences with telehealth for patient follow-up care. Am J Manag Care, 25(1), 40–44. https://www.ajmc.com/view/patient-and-clinician-experiences-with-telehealth-for-patient-followup-care

Fahlevi, M. (2025). Experiential quality and satisfaction in marine tourism: A gendered analysis of post-visit behavior and frequency of visits in Lampung, Indonesia. Cogent Social Sciences. 10.1080/23311886.2025.2460811 DOI: https://doi.org/10.1080/23311886.2025.2460811

Fahlevi, M., Zuhri, S., Parashakti, R., & Ekhsan, M. (2019). Leadership Styles of Food Truck Businesses. Journal of Research in Business, Economics and Management, 13(2), 2437–2442. https://www.researchgate.net/publication/334441144_leadership_styles_of_food_truck_businesses

Garfan, S., Alamoodi, A. H., Zaidan, B. B., Al-Zobbi, M., Hamid, R. A., Alwan, J. K., Ahmaro, I. Y. Y., Khalid, E. T., Jumaah, F. M., Albahri, O. S., Zaidan, A. A., Albahri, A. S., Al-qaysi, Z. T., Ahmed, M. A., Shuwandy, M. L., Salih, M. M., Zughoul, O., Mohammed, K. I., & Momani, F. (2021). Telehealth utilization during the Covid-19 pandemic: A systematic review. Computers in Biology and Medicine, 138, 104878. https://doi.org/10.1016/j.compbiomed.2021.104878 DOI: https://doi.org/10.1016/j.compbiomed.2021.104878

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd Edition, Sage Publications Inc., Thousand Oaks, CA. https://www.scirp.org/reference/referencespapers?referenceid=2297757

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8 DOI: https://doi.org/10.1007/s11747-014-0403-8

Hinton, P. R., & McMurray, I. (2017). Presenting your data with SPSS explained. Taylor & Francis, Routledge, London. https://doi.org/10.4324/9781315689524 DOI: https://doi.org/10.4324/9781315689524

James, S., Ashley, C., Williams, A., Desborough, J., Mcinnes, S., Calma, K., Mursa, R., Stephen, C., & Halcomb, E. J. (2021). Experiences of Australian primary healthcare nurses in using telehealth during COVID-19: A qualitative study. BMJ Open, 11(8), e049095. https://doi.org/10.1136/bmjopen-2021-049095 DOI: https://doi.org/10.1136/bmjopen-2021-049095

Joshi, A. U., Randolph, F. T., Chang, A. M., Slovis, B. H., Rising, K. L., Sabonjian, M., Sites, F. D., & Hollander, J. E. (2020). Impact of Emergency Department Tele-intake on Left Without Being Seen and Throughput Metrics. Academic Emergency Medicine, 27(2), 139–147. https://doi.org/10.1111/acem.13890 DOI: https://doi.org/10.1111/acem.13890

Kock, N. (2015). Common Method Bias in PLS-SEM: A Full Collinearity Assessment Approach. International Journal of E-Collaboration (IJeC), 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101 DOI: https://doi.org/10.4018/ijec.2015100101

Kruse, C. S., Krowski, N., Rodriguez, B., Tran, L., Vela, J., & Brooks, M. (2017). Telehealth and patient satisfaction: A systematic review and narrative analysis. BMJ Open, 7(8), e016242. https://doi.org/10.1136/bmjopen-2017-016242 DOI: https://doi.org/10.1136/bmjopen-2017-016242

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2018). Statistical Techniques in Business & Economics (17th ed., p. 897). 978-1-259-66636-0. McGraw Hill Education, New York, United States. https://opaclib.inaba.ac.id/index.php?p=show_detail&id=1574&keywords=

Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44–65. http://dx.doi.org/10.1504/IJECRM.2017.086751 DOI: https://doi.org/10.1504/IJECRM.2017.086751

Reddy, M. V. (2019). Statistical methods in psychiatry research and SPSS. 2nd Edition, CRC Press. New York. https://www.taylorfrancis.com/books/mono/10.1201/9780429023309/statistical-methods-psychiatry-research-spss-venkataswamy-reddy DOI: https://doi.org/10.1201/9780429023309

Rouidi, M., Elouadi, A. E., Hamdoune, A., Choujtani, K., & Chati, A. (2022). TAM-UTAUT and the acceptance of remote healthcare technologies by healthcare professionals: A systematic review. Informatics in Medicine Unlocked, 32, 101008. https://doi.org/10.1016/j.imu.2022.101008 DOI: https://doi.org/10.1016/j.imu.2022.101008

Satin, A. M., & Lieberman, I. H. (2021). The Virtual Spine Examination: Telemedicine in the Era of COVID-19 and Beyond. Global Spine Journal, 11(6), 966–974. https://doi.org/10.1177/2192568220947744 DOI: https://doi.org/10.1177/2192568220947744

Saunders, M., Lewis, P., & Thornhill, A. (2009). Research Methods for Business Students (5th ed.). Prentice Hall. https://www.scirp.org/reference/referencespapers?referenceid=1903646

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons, West Sussex. https://www.scirp.org/reference/referencespapers?referenceid=2371540

Shachak, A., Kuziemsky, C., & Petersen, C. (2019). Beyond TAM and UTAUT: Future directions for HIT implementation research. Journal of Biomedical Informatics, 100, 103315. https://doi.org/10.1016/j.jbi.2019.103315 DOI: https://doi.org/10.1016/j.jbi.2019.103315

Simpson, S., Kay, F. U., Abbara, S., Bhalla, S., Chung, J. H., Chung, M., Henry, T. S., Kanne, J. P., Kligerman, S., Ko, J. P., & Litt, H. (2020). Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - Secondary Publication. Journal of Thoracic Imaging, 35(4), 219. https://doi.org/10.1097/RTI.0000000000000524 DOI: https://doi.org/10.1097/RTI.0000000000000524

Smith, A. C., Thomas, E., Snoswell, C. L., Haydon, H., Mehrotra, A., Clemensen, J., & Caffery, L. J. (2020). Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19). Journal of Telemedicine and Telecare, 26(5), 309–313. https://doi.org/10.1177/1357633X20916567 DOI: https://doi.org/10.1177/1357633X20916567

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2002388 DOI: https://doi.org/10.2307/41410412

Wang, L., Didelot, X., Yang, J., Wong, G., Shi, Y., Liu, W., Gao, G. F., & Bi, Y. (2020). Inference of person-to-person transmission of COVID-19 reveals hidden super-spreading events during the early outbreak phase. Nature Communications, 11(1), Article 1. https://doi.org/10.1038/s41467-020-18836-4 DOI: https://doi.org/10.1038/s41467-020-18836-4