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All Journal Information Technology and Telematics Dinamik Jurnal Ilmiah Dinamika Teknik Proceeding SENDI_U Jurnal Informatika Upgris Journal of Information Technology and Computer Science (JOINTECS) INTECOMS: Journal of Information Technology and Computer Science J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informasi dan Komputer JURNAL MAHAJANA INFORMASI Jurnal Informatika dan Rekayasa Elektronik Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Sistem Komputer dan Informatika (JSON) Journal of Tropical Ethnobiology Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Duta Abdimas: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Pada Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Fundamentum: Jurnal Pengabdian Multidisiplin International Journal of Information Technology and Business
Widiyanto Tri Handoko
Universitas Stikubank
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Journal : Jurnal Sistem Komputer dan Informatika (JSON)

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Kontruksi Sosial Network Analysis Untuk Menilai Kepopuleran Brand Sepatu di Twitter Prayoga, Setyo Hendro; Handoko, Widiyanto Tri
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.7046

Abstract

Shoes are one of the most popular products to buy. Therefore, many well-known shoe brands such as Adidas, Converse, New Balance, Nike, Reebok and Skechers are competing to create the latest shoe models. Many shoe brand users share their experiences on the Twitter platform. The aim of this research is to assess the level of popularity of the Adidas, Converse, New Balance, Nike, Reebok, Skechers shoe brands on the Twitter platform. This research will analyze the social network patterns of Twitter users in the period January - March 2023 which discusses the shoe brands Adidas, Converse, New Balance, Nike, Reebok, Skechers and will be analyzed using Social Network Analysis (SNA). SNA is a method that can be used to analyze interactions between individuals that occur on the Twitter platform by looking at network properties. This research will also use the Weighted Aggregated Sum Product Assessment (WASPAS) method which is used to support decision making about which shoe brands are the most popular in the period January – March 2023. The results of this research show that New Balance obtained rank 1 with a value of 0.985172467, Adidas was ranked 2nd with a value of 0.946380309, Nike was ranked 3rd with a value of 0.851347847, Reebok was ranked 4th with a value of 0.83674501, Converse was ranked 5th with a value of 0.831588591, and Skechers was ranked 6th with a value of 0.759538181.
Co-Authors Aldri Frinaldi Amin , Imam Husni Al Antoni Yohanes Antono Adhi Bambang T Sudiono Cahyani, Bella Garin Dwi Catur Septiawan, Catur Dedi, Widiarto Dwi Agus Diartono DWI SUSILO, ANDI Edy Supriyanto Edy Supriyanto Edy Supriyanto Eka Ardhianto Eko Nur Wahyudi Endang Lestariningsih Felix Andreas Sutanto Firman Ardiansyah Ekoanindiyo Fitika Andraini Hari Murti Hari Murti Hersatoto Listiyono Kartiko Haryanto Mardi Siswo Utomo Muhammad Akbar Anugrah Illahi Muhammad Iqbal Zakasih Muhammad, Adianzah Murti, Hari Nadila, Latifia Prayoga, Setyo Hendro Purwadi, Dimas Indra R. Soelistijadi Rara Sri Artati Redjeki Rezky Febriani, Rezky Riko Dwi Jaya S.Pd. M Kes I Ketut Sudiana . SATRIA PRAKOSO, DICKY SEFI RENANDO, FARERA Sitorus P, Forlediska Amelia Sutrasno Andre Wibowo* Theresia Dwiati Wismarini Veronica Lusiana Vidya Indanvati Wibowo*, Sutrasno Andre Wismarini, Th Dwiati Y. Purwanto Yohanes Suhari Zuly Budiarso