Analisis Brand Switching dan Strategi Pemasaran Menggunakan Markov Chain dan Game Theory di Kota Medan
DOI:
https://doi.org/10.55606/jurrimipa.v3i1.2548Keywords:
E-commerce, Optimal Strategy, Customer Transition, Game Theory, Markov ChainAbstract
This research analyzes the competitive strategies among Shopee, Lazada, and Tokopedia using Game Theory and Markov Chain, focusing on the marketing mix: price, promotion, security, service, and product availability. The results reveal varied optimal strategies. For instance, in the Shopee vs. Lazada competition, Shopee excels in price (0.66), security (0.124), and product availability (0.208). In the Shopee vs. Tokopedia competition, Shopee prioritizes price (0.129), security (0.375), and product availability (0.33315), while Tokopedia emphasizes price (0.5) and service (0.5). In the Lazada vs. Tokopedia scenario, Lazada stands out in security (0.5826) and product availability (0.4174), whereas Tokopedia focuses on price (0.749) and service (0.251). Regarding customer transition using the Markov Chain, the brand transition probabilities are Shopee (0.469), Lazada (0.306), and Tokopedia (0.223). In conclusion, optimal E-commerce strategies involve 5 different approaches, with variations depending on the competitive pair. The probability of customer transition can be measured through the Markov Chain approach.
References
Alwendi (2020): Penerapan E-Commerce Dalam Meningkatkan Daya Saing Usaha, Jurnal Manajemen Bisnis, 17(3), 317–325. https://journal.undiknas.ac.id/index.php/magister-manajemen/article/view/2486/732)
Apriando Joni Putra. (2019). Pengaruh Kualitas Produk dan Ketersediaan Produk Terhadap Keputusan Pembelian dengan Citra Merek Sebagai Variabel Intervening (Studi Pada Konsumen Minuman Energi M-150 di Kota Semarang). " Jurnal Sains Pemasaran Indonesia (Indonesian Journal of Marketing Science)”, 18(2), 166-183. https://ejournal.undip.ac.id/index.php/jspi/article/view/27660
Aprilia, C. (2022) .Analisis Strategi Persaingan Layanan Jasa Pesan-Antar Makanan. MATHunesa:Jurnal Ilmiah Matematika,10(1),190-198. https://doi.org/10.26740/mathunesa.v10n1.p190-198
Audina, E. (2019). Analisis Strategi Optimasi Menggunakan Program Linear dan Teori Permainan (Studi Kasus: Penggunaan Laptop Oleh Mahasiswa Jurusan Matematika FMIPA UNTAN), Buletin Ilmiah Mat. Stat. dan Terapannya (Bimaster),8(1),125-132. https://123dok.com/document/ynplr6jz-analisis-strategi-optimasi-menggunakan-program-linear-teori-permainan.html
Huda,Ella Nurul. (2022). Analisis Strategi Optimasi Menggunakan Teori Permainan dan Markov Chain terhadap Persaingan E-Wallet di Kota Medan, Jurnal MIPA, Journal Of Comprhensive Science, 2(7), 2161-2171. https://jcs.greenpublisher.id/index.php/jcs/article/download/449/437/1726
J,Okoro.(2018) .The Game Theory And Simulation With Finite Mixed Strategy Of Two-Players Zero Sum Game.
Kaplak, H..(2015).A Two Person Zero Sum Game Oriented to Integration of Objectives, Journal of Military Studies, 5(2), 1–21. https://www.researchgate.net/publication/283620797_A_Two_Person_Zero_SumGame_Oriented_to_Integration_of_Objectives
Kotler, P., dan Keller, K. L. (2016). Marketing Management, 15, Pearson Education, Inc.
Lumantobing (2018): Strategi Kompetisi Antar Gojek dan Grab dengan Menggunakan Game Theory, Universitas Sumatera Utara, https://repository.its.ac.id/73016/1/06111540000111_Undergraduate_Thesis.pdf
Oktaviyani (2018): Optimasi Penjadwalan Produksi dan Perencanaan Persediaan Bahan Baku Menggunakan Rantai Markov (Studi Kasus Kinken Cake & Bakery Kutoarjo), UNNES Journal of Mathematics, 7(2), 165-180. https://journal.unnes.ac.id/sju/index.php/ujm/article/view/13894/12252
S,Syafruddin . (2018).Aplikasi Analisis Rantai Markov untuk Memprediksi Status Pasien Rumah Sakit Umum Daerah Kabupaten Barru, Online Journal of Natural Science, 3(3), 313–321. https://www.researchgate.net/publication/338188083_Aplikasi_Analisis_Rantai_Markov_untuk_Memprediksi_Status_Pasien_Rumah_Sakit_Umum_Daerah_Kabupaten_Barru
Siregar, Z. H., dan Ningsih, M. S., (2019).Metode-Metode Praktis Riset, Qiara Media, Medan.
T.Ferguson .(2020).Game Theory, University New Jersey, New Jersey.
Tawa, S., (2019).Strategi Pemasaran Dalam Meningkatkan Jumlah Kunjungan Wisatawan Pada Pemandian Serayu Lestari Di Kota Samarinda, Jurnal Administrasi Bisnis, 3(2), 228–236. https://ocs.unmul.ac.id/index.php/jadbis/article/view/9854/pdf
Tjiptono, F. (2014). Pemasaran Jasa: Prinsip, Penerapan, dan Penelitian, C.V Andi Offset.
Sugeng.(2018).E-COMMERCE SEBAGAI PENDUKUNG PEMASARAN,JURNAL UNIVERSITAS SURYA DARMA. Jurnal Ecodemica: Jurnal Ekonomi Manajemen dan Bisnis, 4(1) 143–156. https://journal.universitassuryadarma.ac.id/index.php/jsi/article/view/81/79
W,PurbohastutiArum.(2021).Efektivitas Bauran Pemasaran pada Keputusan Pembelian Konsumen Indomaret, Jurnal Sains Manajemen, 7(1), 1–17. https://e-jurnal.lppmunsera.org/index.php/SM/article/download/2707/1734
Windasari, W., dan Zakiyah, T., (2020). Analisis Game Theory pada Strategi Bersaing Grab dan Gojek di Kabupaten Kebumen, PRISMA: Prosiding Seminar Nasional Matematika, 3(2), 194–198. https://journal.stieputrabangsa.ac.id/index.php/fokbis/article/view/329
Wulandari.(2020).Penerapan E-Commerce Dalam Meningkatkan Daya Saing Usaha, Jurnal Manejemen Bisnis, 7(3), 1–14. https://journal.undiknas.ac.id/index.php/magister-manajemen/article/view/2486/732
Yohanes, A., (2021): Penentuan Klasifikasi State pada Rantai Markov dengan Menggunakan Nilai Eigen dari Matriks Peluang Transisi, Jurnal Ilmiah Sains, 11(1), 124–130. https://ejournal.unsrat.ac.id/v3/index.php/JIS/article/view/54
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