Penerapan dan Analisis Metode Social Network Analysis untuk Menentukan Rekomendasi Diskon dengan Menggunakan Library NetworkX
Article Sidebar
Main Article Content
Abstract
Article Summary
At present technology has developed rapidly, especially in industrial technology. Business competition is getting tighter, making people have to find ways to maintain their business. One strategy that can be used is to provide discounts on goods or services sold. This discount can be made based on the company's sales data or other factors. In this case, the company has large sales data. Therefore, a way is needed to process the large sales data, and one efficient way to do this is to use the Social Network Analysis method. This study measures the degree of Information Centrality from the Social Network Analysis method to measure how much the item is purchased, this can be taken into consideration to determine discounts on goods or services sold. This research provides the results of discount recommendation applications that can process large sales data and provide recommendations based on the Social Network Analysis method.
Keywords
Article Keywords
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC-BY 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
License: All articles are licensed under 
Basalamah, M. R., & Millaningtyas, R. (2021). Pengaruh Diskon Dan Promo Gratis Ongkos Kirim Terhadap Keputusan Pembelian Pada E-Commerce Shopee. E-JRM: Elektronik Jurnal Riset Manajemen, 10(15).
Febrianti, I., Anam, M. K., Rahmiati, R., & Tashid, T. (2020). Tren Milenial Memilih Jurusan Di Perguruan Tinggi Menggunakan Metode Social Network Analysis. Techno. Com, 19(3), 216-226. DOI: https://doi.org/10.33633/tc.v19i3.3483.
Gunawan, S., Surniandari, A., & Rachmi, H. (2020). Penggunaan Metode Waterfall Dalam Pengembangan Perangkat Lunak Kasir Event Multi UMKM. Universitas Bina Sarana Informatika, Bogor.
Jain, V., Malviya, B. I. N. D. O. O., & Arya, S. A. T. Y. E. N. D. R. A. (2021). An overview of electronic commerce (e-Commerce). Journal of Contemporary Issues in Business and Government, 27(3), 665-670.
Majeed, S., Uzair, M., Qamar, U., & Farooq, A. (2020, November). Social Network Analysis Visualization Tools: A Comparative Review. In 2020 IEEE 23rd International Multitopic Conference (INMIC) (pp. 1-6). IEEE. DOI: 10.1109/INMIC50486.2020.9318162.
Prabowo, N. A., Pujiarto, B., Wijaya, F. S., Gita, L., & Alfandy, D. (2021). Social network analysis for user interaction analysis on social media regarding e-commerce business. International Journal of Informatics and Information Systems, 4(2), 95-102.
Rabbani, A. P., Alamsyah, A., & Widiyanesti, S. (2020). Analisa Interaksi User di Media Sosial Mengenai Industri Fintech Menggunakan Social Network Analysis (Studi Kasus: GoPay, OVO dan LinkAja). Jurnal Mitra Manajemen, 4(3), 341-351.
Santoso, L., & Veliyanti, R. (2021). Pemanfaatan Social Network Analysis (SNA) Untuk Menganalisis Kolaborasi Panitia Pengawas Pilkada Tahun 2020 di Kecamatan Gunungpati Kota Semarang. Elkom: Jurnal Elektronika dan Komputer, 14(2), 244-255. DOI: https://doi.org/10.51903/elkom.v14i2.537.
Senarath, U. S. (2021). Waterfall methodology, prototyping and agile development. Tech. Rep., 1-16.
Wu, Y., & Duan, Z. (2015). Social network analysis of international scientific collaboration on psychiatry research. International journal of mental health systems, 9, 1-10.