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  3. Vol. 7, No. 4, November 2022
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Vol. 7, No. 4, November 2022

Issue Published : Nov 30, 2022
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Game Development "Kill Corona Virus" for Education About Vaccination Using Finite State Machine and Collision Detection

https://doi.org/10.22219/kinetik.v7i4.1470
Andi
Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) TIME
Juan Charles
Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) TIME
Octara Pribadi
Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) TIME
Carles Juliandy
Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) TIME
Robet
Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) TIME

Corresponding Author(s) : Andi

andi@stmik-time.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 7, No. 4, November 2022
Article Published : Nov 30, 2022

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Abstract

COVID-19 is a disease caused by the coronavirus and causes the main symptoms in the form of respiratory problems. One way to overcome the COVID-19 pandemic is through the vaccination process. However, in practice, the public is still not educated about the importance of vaccination in preventing coronavirus infection, so it is necessary to develop a game that provides education to the public to vaccinate. This study chose games as educational media because there are many game enthusiasts and the delivery of education through games is more memorable than on other platforms. This study uses the Game Development Life Cycle (GDLC) method in the game development stage. In addition, to create intelligent coronavirus enemy NPC characters in this study, Finite State Machine (FSM) and Collision Detection methods will be implemented to detect the accuracy of players' shots. The results were obtained in the form of a game "Kill Corona Virus" which is used as a medium of education for the public about the importance of vaccination. Based on the results of the tests carried out, it was found that the implementation of the Collision Detection method in the game in detecting collisions was appropriate and quite accurate and the Finite State Machine method succeeded in creating coronavirus enemy NPCs with appropriate states. In addition, based on the results of processing respondents' answers, it is known that the ”Kill Corona Virus” game that was built can convey vaccination education messages well and make people interested in vaccinating.

Keywords

Educational Game COVID-19 Kill Corona Virus Collision Detection Method Finite State Machine Method
Andi, Charles, J., Pribadi, O., Juliandy, C., & Robet. (2022). Game Development "Kill Corona Virus" for Education About Vaccination Using Finite State Machine and Collision Detection. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 7(4). https://doi.org/10.22219/kinetik.v7i4.1470
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References
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References


Y. F. Kurniawan, R. G. Isnanda, and A. Asroni, “The Development of 3D Survival Simulation Game for Identifying Safe Food and Water in Borneo Forest,” Emerg. Inf. Sci. Technol., vol. 1, no. 1, pp. 1–7, 2020. https://doi.org/10.18196/eist.111

G. Tilak and T. M. Vidyapeeth, “A Study of advantages of playing video games for people,” Pramana Res. J., vol. 9, no. 4, pp. 272–278, 2021.

B. T. Zahed, G. White, and J. Quarles, “Play it safe: An educational cyber safety game for children in elementary school,” 2019 11th Int. Conf. Virtual Worlds Games Serious Appl. VS-Games 2019 - Proc., p. 1DUUMY, 2019. https://doi.org/10.1109/VS-Games.2019.8864594

Andi, C. Juliandy, Robet, and O. Pribadi, “Securing Medical Records of COVID-19 Patients Using Elliptic Curve Digital Signature Algorithm (ECDSA) in Blockchain,” CommIT J., vol. 16, no. 1, pp. 87–96, 2022. https://doi.org/10.21512/commit.v16i1.7958

I. P. M. H. Purba, “Implementasi Undang-UndangNomor 6 Tahun 2018 Tentang Kekarantinaan Kesehatan di Jawa Timur Menghadapi Pandemi COVID-19,” J. Chem. Inf. Model., vol. 4, pp. 1–11, 2021. https://doi.org/10.31004/jp.v4i1.1361

G. Mertens, P. Lodder, T. Smeets, and S. Duijndam, “Fear of COVID-19 predicts vaccination willingness 14 months later,” J. Anxiety Disord., vol. 88, no. November, 2022. https://doi.org/10.1016/j.janxdis.2022.102574

F. Pan, H. Zhao, S. Nicholas, E. Maitland, R. Liu, and Q. Hou, “Parents’ decisions to vaccinate children against covid-19: A scoping review,” Vaccines, vol. 9, no. 12, 2021. https://doi.org/10.3390/vaccines9121476

A. Sulistyanto, W. Ode, S. Nurhaliza, S. Salbilah, and F. S. Aurellie, “Fear and Anxiety in Spreading Covid-19 Vaccine Hoaxes as Terror Communication,” Budapest Int. Res. Critics Institute-Journal, vol. 15, no. March, pp. 7077–7091, 2021. https://doi.org/10.33258/birci.v5i1.4436

M. Shahwan et al., “Prevalence, Knowledge and Potential Determinants of COVID-19 Vaccine Acceptability Among University Students in the United Arab Emirates: Findings and Implications,” J. Multidiscip. Healthc., vol. 15, no. January, pp. 81–92, 2022. https://doi.org/10.2147/JMDH.S341700

Z. Y. Liu, Z. A. Shaikh, and F. Gazizova, “Using the concept of game-based learning in education,” Int. J. Emerg. Technol. Learn., vol. 15, no. 14, pp. 53–64, 2020. https://doi.org/10.3991/ijet.v15i14.14675

E. W. Arif Nurdiyanto, “Penerapan Metode Collision Detection Pada Game Aksara Jawa.” pp. 978–979, 2018.

D. S. Hormansyah, A. R. T. H. Ririd, and D. T. Pribadi, “Implementasi Fsm (Finite State Machine) Pada Game Perjuangan Pangeran Diponegoro,” J. Inform. Polinema, vol. 4, no. 4, p. 290, 2018. https://doi.org/10.33795/jip.v4i4.222

T. Windi Kusuma Astuti and D. A. Dermawan, “Rancang Bangun Game Arcade Covid War Berbasis Android Menggunakan Construct-2,” J. Informatics Comput. Sci., vol. 2, no. 03, pp. 152–158, 2021. https://doi.org/10.26740/jinacs.v2n03.p152-158

M. F. Rahadian, A. Suyatno, and S. Maharani, “Penerapan Metode Finite State Machine Pada Game ‘The Relationship,’” Inform. Mulawarman J. Ilm. Ilmu Komput., vol. 11, no. 1, p. 14, 2016. http://dx.doi.org/10.30872/jim.v11i1.198

D. Jagdale, “Finite State Machine in Game Development,” Int. J. Adv. Res. Sci. Commun. Technol., no. October, pp. 384–390, 2021. http://dx.doi.org/10.48175/IJARSCT-2062

L. H. Fasha, F. Fauziah, and M. Gufroni, “Implementasi Algoritma Collision Detection pada Game Simulator Driving Car,” STRING (Satuan Tulisan Ris. dan Inov. Teknol., vol. 3, no. 1, p. 58, 2018. http://dx.doi.org/10.30998/string.v3i1.2586

H. M. Chandler, Game Production Handbook. Sudbury: Jones and Bartletts Publishers, 2010.

R. Roedavan, B. Pudjoatmodjo, Y. Siradj, S. Salam, and B. Q. D. Hardianti, “Serious Game Development Model Based on the Game-Based Learning Foundation,” J. ICT Res. Appl., vol. 15, no. 3, pp. 291–305, 2021. https://doi.org/10.5614/itbj.ict.res.appl.2021.15.3.6

L. Husniah, B. F. Pratama, and H. Wibowo, “Gamification And GDLC (Game Development Life Cycle) Application For Designing The Sumbawa Folklore Game ”The Legend Of Tanjung Menangis (Crying Cape)”,” Kinet. Game Technol. Inf. Syst. Comput. Network, Comput. Electron. Control, vol. 3, no. 4, pp. 351–358, 2018. https://doi.org/10.22219/kinetik.v3i4.721

R. Ramadan and Y. Widyani, “Game development life cycle guidelines,” 2013 Int. Conf. Adv. Comput. Sci. Inf. Syst. ICACSIS 2013, no. June, pp. 95–100, 2013. https://doi.org/10.1109/ICACSIS.2013.6761558

K. Aldriwish and S. Arabia, “Devise and Adopt a Technique to validate Digital Healthcare System using Finite State Machine,” J. Eng. Appl. Sci., vol. 9, no. 1, pp. 42–56, 2022. https://dx.doi.org/10.5455/jeas.2022050104

R. Andrea, S. Wijayanti, and Nursobah, “Finite State Machine Model in Jungle Adventure Game an Introduction to Survival Skills,” Int. J. Inf. Eng. Electron. Bus., vol. 13, no. 4, pp. 55–61, 2021. https://dx.doi.org/10.5815/ijieeb.2021.04.05

W. Hadikurniawati, E. Winarno, T. D. Cahyono, and D. Abdullah, “A Bounding Box Collision Detection Method Based on the Android System for Adventure Game,” J. Phys. Conf. Ser., vol. 1114, no. 1, 2018. https://doi.org/10.1088/1742-6596/1114/1/012099

L. TANG, W. guo SONG, T. cheng HOU, L. lei LIU, W. xing CAO, and Y. ZHU, “Collision detection of virtual plant based on bounding volume hierarchy: A case study on virtual wheat,” J. Integr. Agric., vol. 17, no. 2, pp. 306–314, 2018. https://doi.org/10.1016/S2095-3119(17)61769-6

Q. Wu, W. Xiang, R. Tang, and J. Zhu, “Bounding Box Projection for Regression Uncertainty in Oriented Object Detection,” IEEE Access, vol. 9, pp. 58768–58779, 2021. https://doi.org/10.1109/ACCESS.2021.3072402

E. Satria, L. Fitriani, Y. S. Muhsin, and D. Tresnawati, “Development of educational games for learning waste management,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1098, no. 3, p. 032064, 2021. https://doi.org/10.1088/1757-899X/1098/3/032064

E. W. Nugroho and T. B. Chandrawati, “Detection hand motion on virtual reality mathematics game with accelerometer and flex sensors,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 16, no. 5, pp. 2287–2292, 2018. http://doi.org/10.12928/telkomnika.v16i5.7594

S. Šošić, O. Ristic, and M. Milosevic, “Game-Based Learning of Software Testing,” in 8th International Scientific Conference Technics and Informatics in Education, 2020, pp. 151–155.

M. Y. Fachroni, H. Wibowo, and Syaifuddin, “Perancangan Game Physical Puzzle Rolling Kingdom,” J. Animat. Games Stud., vol. 4, no. 1, pp. 23–50, 2018. https://doi.org/10.24821/jags.v4i1.1873

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