ANALISIS JARINGAN SOSIAL PENGGUNA TWITTER DALAM SKEMA PENYEDIAAN LAPTOP BAGI TOKO KOMPUTER

Authors

  • Rama Tri Budi Ardianto Universitas Kristen Satya Wacana
  • Yessica Nataliani Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

DOI:

https://doi.org/10.24246/itexplore.v2i3.2023.pp208-218

Keywords:

Twitter, Social Network Analysis, User Generated Content, laptop

Abstract

Twitter is a social media that provides information for its users. Interactions on Twitter may increase the amount of data from its users. Business development cannot be separated from product competition between business actors. One way for companies to win the competition is to know the purchasing power of customers. A product's selling power can be known one way or another through user interaction on Twitter. User-generated content (UGC) results from data on Twitter. UGC data can be used to determine the product supply scheme taken by laptop products in this study. The method used to analyze the interaction is Social Network Analysis (SNA) by comparing the properties of the network. Social network modeling on UGC data was carried out on three laptops: Lenovo v14, Asus ZenBook S, and Acer Swift 3. From the graph visualization, it was found that Acer excels in two properties, namely "Size" and "Average Degree." Meanwhile, the Asus ZenBook S dominates the "Modularity" property.

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References

C. A. D. Simbolon and C. Siahaan, “Penggunaan Komunikasi Media Sosial Twitter di Kalangan Remaja di Kecamatan Cibinong, Kabupaten Bogor,” JISIP J. Ilmu Sos. dan Ilmu Polit., vol. 10, no. 3, pp. 219–226, 2021, doi: 10.33366/jisip.v10i3.2356.

A. D. Riyanto, “Hootsuite (We are Social): Indonesian Digital Report 2022,” Digital 2022 Indonesia, 2022. https://andi.link/hootsuite-we-are-social-indonesian-digital-report-2022/ (accessed Jan. 26, 2023).

K. Fadhli and N. D. Pratiwi, “Pengaruh Digital Marketing, Kualitas Produk, dan Emosional terhadap Kepuasan Konsumen Poskopi ZIO Jombang,” J. Inov. Penelit., vol. 2, no. 2, pp. 603–612, 2021, [Online]. Available: https://stp-mataram.e-journal.id/JIP/article/view/684

M. K. Fikri, A. Filzah, and M. F. Imani, “Pengaruh Kreatif, Inovasi Dan Strategi Pemasaran Terhadap Peningkatan Daya Beli Konsumen,” J. Ilmu Manajemen, Ekon. Dan Kewirahusaan, vol. 2, no. 1, pp. 118–139, 2022.

N. Sari, “Perencanaan Dan Pengendalian Persediaan Barang Dalam Upaya Meningkatkan Efektivitas Gudang,” J. Bisnis, Logistik dan Supply Chain, vol. 2, no. 2, pp. 85–91, Nov. 2022, doi: 10.55122/blogchain.v2i2.542.

Selina, A. Sunoto, and Hendrawan, “Perancangan Sistem Informasi Persediaan Barang Pada Minimarket Richard Mandala Jambi,” J. Manaj. Teknol. dan Sist. Inf., vol. 2, no. 2, pp. 275–284, 2022, [Online]. Available: http://ejournal.unama.ac.id/index.php/jms

D. Bayu, “APJII: Pengguna Internet Indonesia Tembus 210 Juta pada 2022,” DataIndonesia.id, 2022. https://dataindonesia.id/digital/detail/apjii-pengguna-internet-indonesia-tembus-210-juta-pada-2022 (accessed Jan. 26, 2023).

M. A. Rizaty, “Pengguna Twitter di Indonesia Capai 18,45 Juta pada 2022,” DataIndonesia.id, 2022. https://dataindonesia.id/digital/detail/pengguna-twitter-di-indonesia-capai-1845-juta-pada-2022 (accessed Jan. 27, 2023).

A. F. Josyaf, E. Fatkhiyah, and J. Triyono, “Rancangan Prototype Sistem Informasi Peminjaman Laptop Berbasis Web Pada Laboratorium Komputer,” J. Scr., vol. 9, no. 2, pp. 94–103, 2021.

N. A. Azmi, A. T. Fathani, D. P. Sadayi, I. Fitriani, and M. R. Adiyaksa, “Social Media Network Analysis (SNA): Identifikasi Komunikasi dan Penyebaran Informasi Melalui Media Sosial Twitter,” J. Media Inform. Budidarma, vol. 5, no. 4, p. 1422, 2021, doi: 10.30865/mib.v5i4.3257.

E. Nurhazizah, R. Nur Ichsan, and S. Widiyanesti, “Analisis Sentimen Dan Jaringan Sosial Pada Penyebaran Informasi Vaksinasi Di Twitter,” J. Swabumi, vol. 10, no. 1, pp. 24–35, 2022.

R. G. Nisrina, “User generated content sebagai strategi komunikasi pemasaran digital: studi kasus fenomena #shopeehaul,” J. Komun. Prof., vol. 5, no. 6, pp. 558–571, 2021, [Online]. Available: http://ejournal.unitomo.ac.id/index.php/jkp

D. Kurniawan, A. Iriani, and D. Manongga, “Pemanfaatan Social Network Analysis (SNA) Untuk Menganalisis Kolaborasi Karyawan Pada PT. Arum Mandiri Group,” J. Transform., vol. 17, no. 2, pp. 149–159, 2020, doi: 10.26623/transformatika.v17i2.1646.

D. Y. Sihombing and Y. Nataliani, “Analisis Interaksi Pengguna Twitter pada Strategi Pengadaan Barang Menggunakan Social Network Analysis,” Sist. J. Sist. Inf., vol. 10, no. 2, pp. 434–444, 2021, [Online]. Available: http://sistemasi.ftik.unisi.ac.id

I. E. Yanti, O. N. Pratiwi, and R. Y. Fa’rifah, “Analisis Respon Masyarakat Terhadap Pandemi COVID-19 Pada Media Sosial Twitter Menggunakan Metode Social Network Analysis,” e-Proceeding Eng., vol. 8, no. 5, pp. 8988–8999, 2021.

C. F. Arifianto and V. Veritia, “Social Network Analysis: A Competition In Indonesia’s Fastest Growing Fintech,” J. Manaj. dan Kewirausahaan, vol. 24, no. 1, pp. 73–80, Mar. 2022, doi: 10.9744/jmk.24.1.73-80.

M. R. Nahjan, N. Heryana, and A. Voutama, “Implementasi Rapidminer Dengan Metode Clustering K-Means Untuk Analisa Penjualan Pada Toko OJ Cell,” J. Mhs. Tek. Inform., vol. 7, no. 1, pp. 101–104, 2023.

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Published

2023-10-24

How to Cite

Ardianto, R. T. B., & Nataliani, Y. (2023). ANALISIS JARINGAN SOSIAL PENGGUNA TWITTER DALAM SKEMA PENYEDIAAN LAPTOP BAGI TOKO KOMPUTER. IT-Explore: Jurnal Penerapan Teknologi Informasi Dan Komunikasi, 2(3), 208–218. https://doi.org/10.24246/itexplore.v2i3.2023.pp208-218