DANIEL ALEXANDER, . (2022) ANALISIS KESTABILAN PEMODELAN MATEMATIKA PENYEBARAN WORD OF MOUTH BERBASIS BRAND COMMUNITY. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.
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Abstract
Pemasaran word of mouth berbasis brand community membuat perusahaan menargetkan komunitas-komunitas yang sesuai dengan karakteristik produk yang membuat pemasaran word of mouth menjadi lebih efektif. Penelitian ini berfokus pada pemodelan dan analisis pemasaran word of mouth berbasis brand community. Model terdiri dari lima variabel yaitu Susceptible, Infected, Community, Positive, dan Negative. Model dianalisis dengan menentukan titik kesetimbangan yang menghasilkan dua titik kesetimbangan yaitu titik kesetimbangan yang didapatkan saat tidak ada individu terinfeksi dan titik kesetimbangan yang didapatkan saat terdapat individu terinfeksi. Simulasi menggunakan data yang telah diperoleh dari salah satu perusahaan di Indonesia, dengan nilai bilangan reproduksi dasar sebesar 950,1458877. ******************************************************* Word of mouth marketing based on community brands makes companies target communities that are in accordance with product characteristics so that word of mouth marketing becomes more effective. This thesis focuses on modeling and analyzing word of mouth marketing based on brand community. Model consists of five variables, namely Susceptible, Infected, Community, Positive, and Negative. The model is analyzed by determining the equilibrium point which produces two equilibrium points, namely the equilibrium point obtained when there are no infected individuals and the equilibrium point obtained when there are infected individuals. The simulation uses data that has been obtained from one of the companies in Indonesia, with the basic reproduksi number is 950,1458877.
| Item Type: | Thesis (Sarjana) |
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| Additional Information: | 1). Dr. Eti Dwi W., S.Pd., M.Si.; 2). Dr. Lukita Ambarwati, S.Pd., M.Si. |
| Subjects: | Sains > Matematika |
| Divisions: | FMIPA > S1 Matematika |
| Depositing User: | sawung yudo |
| Date Deposited: | 30 Oct 2024 04:38 |
| Last Modified: | 30 Oct 2024 04:38 |
| URI: | http://repository.unj.ac.id/id/eprint/51820 |
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