Fuzzy Logic in Decision Support Systems Using Linear Equations in Construct 3 Game Engine

  • Sanriomi Sintaro Universitas Sam Ratulangi

Abstract

The current use of Construct 3 is not only used as a tool for developing games but can also be developed to create applications that can run on platforms that support HTML5. However, the superiority of construct 3, which only requires logic without using program code, sometimes its rather difficult to develop when we need construct 3 to calculate mathematical algorithms such as Dijkstra or fuzzy. The problem that I found in this study is how to make Construct 3 can do some calculations using logic without program code to produce the required mathematical algorithm. The main purpose of this research is to find out the best way to be able to run Non-Linear equations into game engine Construct 3. The conclusion in this study is by using linear equations we can calculate the formula into the logic board in Construct 3, so the development of applications that require algorithms can be done in construct 3 without using programming code. Another conclusion is, the application development time is getting faster and more effective. This is proven by the fact that there is no need for program codes which are usually long and have different forms from the formulas that have been prepared.

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References

D. Sebastian, K. A. Nugraha, L. K. P. Saputra, M. B. Nendya, and I. K. D. Senapartha, “PELATIHAN DARING GAME DEVELOPMENT BAGI SISWA-SISWI TINGKAT SMA MENGGUNAKAN CONSTRUCT 3.0,” INTEGRITAS J. Pengabdi., vol. 6, no. 1, pp. 23–33, 2022.

P. S. Dewi and S. Sintaro, “Mathematics Edutainment Dalam Bentuk Aplikasi Android,” Triple S (Journals Math. Educ., vol. 2, no. 1, pp. 1–11, 2019.

S. Permatasari, M. Asikin, and N. R. Dewi, “MaTriG: Game Edukasi Matematika dengan Construct 3,” Indones. J. Comput. Sci., vol. 11, no. 1, 2022.

R. D. Gunawan and F. Ariany, “Implementasi Metode SAW Dalam Sistem Pendukung Keputusan Pemilihan Plano Kertas,” J. Artif. Intell. Technol. Inf., vol. 1, no. 1, pp. 29–38, 2023.

A. F. Pasaribu, A. Surahman, A. T. Priandika, S. Sintaro, and Y. T. Utami, “Sistem Pendukung Keputusan Seleksi Penerimaan Guru Menggunakan SAW,” J. Artif. Intell. Technol. Inf., vol. 1, no. 1, pp. 13–19, 2023.

A. Surahman and N. Nursadi, “Sistem Pendukung Keputusan Kenaikan Gaji Karyawan Dengan Metode Topsis Berbasis Web,” JTKSI (Jurnal Teknol. Komput. Dan Sist. Informasi), vol. 2, no. 3, pp. 82–87, 2019.

D. P. Tarigan, A. Wantoro, and S. Setiawansyah, “Sistem Pendukung Keputusan Pemberian Kredit Mobil Dengan Fuzzy Tsukamoto (Studi Kasus: Pt Clipan Finance),” TELEFORTECH J. Telemat. Inf. Technol., vol. 1, no. 1, pp. 32–37, 2020.

S. M. Downs, N. S. Bauer, C. Saha, S. Ofner, and A. E. Carroll, “Effect of a computer-based decision support intervention on autism spectrum disorder screening in pediatric primary care clinics: a cluster randomized clinical trial,” JAMA Netw. Open, vol. 2, no. 12, pp. e1917676–e1917676, 2019.

D. Wahyuni, “PENERAPAN SISTEM PENDUKUNG KEPUTUSAN DALAM PEMILIHAN ANAK BERPRESTASI TINGKAT AUTIS DENGAN METODE ELECTRE,” J. Ilm. Edutic Pendidik. dan Inform., vol. 6, no. 2, pp. 85–94, 2020.

H. Nahumury, A. Mulyani, and H. Nurdin, “Sistem Pendukung Keputusan Mendiagnosa Penyakit Virus Corona (Covid-19) Menggunakan Metode Dempster-Shafer,” JISAMAR (Journal Inf. Syst. Applied, Manag. Account. Res., vol. 4, no. 4, pp. 207–214, 2020.

K. Govindan, H. Mina, and B. Alavi, “A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19),” Transp. Res. Part E Logist. Transp. Rev., vol. 138, p. 101967, 2020.

D. Tusima, “Sistem Pendukung Keputusan untuk Diagnosis Dini Gangguan Kesehatan pada Hewan Peliharaan Kucing Ras Persia,” 2020.

M. RASHEED, S. SHIHAB, T. RASHID, and Y. H. Ali, “Experimental Results for a Nonlinear Equation Using Improved Newton-Raphson Estimation Method,” J. Al-Qadisiyah Comput. Sci. Math., vol. 13, no. 1, p. Page-193, 2021.

W. Widada, D. Herawaty, M. H. Rahman, D. Yustika, E. P. Gusvarini, and A. F. D. Anggoro, “Overcoming the difficulty of understanding systems of linear equations through learning ethnomathematics,” in Journal of Physics: Conference Series, 2020, vol. 1470, no. 1, p. 12074.

K. Widjaja and H. Sutopo, “Multimedia-Based Global Warming Interactive Application for Elementary School Students,” in Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence, 2017, pp. 158–163.

Published
2023-06-01