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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Teknik ITS Jurnal Sains dan Seni ITS JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Communications in Science and Technology SISFO ILKOMNIKA: Journal of Computer Science and Applied Informatics Journal of Advanced in Information and Industrial Technology (JAIIT) Sewagati
Faizal Mahananto
Departemen Sistem Informasi Institut Teknologi Sepuluh Nopember Surabaya
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Journal : JOIV : International Journal on Informatics Visualization

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Text-Based Content Analysis on Social Media Using Topic Modelling to Support Digital Marketing Buana, Gandhi Surya; Tyasnurita, Raras; Puspita, Nindita Cahya; Vinarti, Retno Aulia; Mahananto, Faizal
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1636

Abstract

This study aims to create Social Media Analytics (SMA) tools to help Digital Marketers or Content Creators create content topics for creating text-based Instagram content and support digital marketing strategy. Since no SMA tools can provide topic discovery for text-based Instagram content, this research aims to make an SMA tool. The data requirements to make an SMA tool include content text, content caption text, likes, comments, upload time, and content category obtained through the Instascrapper. The method used in this study is the Topic Modelling method using the Latent Dirichlet Allocation (LDA) approach to find the most dominant topic in the content. Optical Character Recognition (OCR) performs an image transformation process to extract text from text-based Instagram content images. The results of SMA tool creation are tested on three expert users, which shows that 93% of test participants could use the SMA to find topic references, and 85% can still be used by users even though they find it difficult. Since the test result shows that SMA tools still need development, for further research, SMA tools can focus on developing the user experience to increase the value of user acceptance by paying attention to the ease of the SMA tools. Also, SMA tools can focus on target users such as Data Analysts, Business Intelligence Analysts, or others within a company to support decision-making for the marketing department.
Co-Authors Ahmad Muklason Algracevian Andrea Gibran Syahrial Alvin Sahroni Amalia Utamima Amalinda Jayanty Andhika Prasandy Rachman Arif Djunaidi Arif Djunaidy Arif Wibisono Buana, Gandhi Surya Diah Risqiwati Dio Afriansyah Putra Pradana Erma Suryani Hanif Mitsal Mahatta Hardhika Propitadewa Hendra Setiawan Humaira Nur Pradani Ika Nurkasanah Jeremy Diaz Prasetyo Jessica Patricia Halim Jihaan Harvi Habibah Kartika Zahretta Wijaya Kusumawardhani, Renny Pradina Laura Wilhelmina Theresia Lulu'ul Watef M. Fiqri Ananda M. Yusuf Sulaiman Meilani, Maulidiya Mochamad Zidan Aqila Kamil Muhammad Ali Fikri Muhammad Arif Nuriman Muhammad Daffa Maulana Muhammad David Rahman Muhammad Hisyam Muhammad Nasrullah Muhammad Reza Pahlawan Nabihah Hanun Atikah Naufal Rafiawan Basara Nazriyah Deni Tsaniyah Nisa Dwi Angresti Nova Eka Budiyanta Nur Khofifah Nur Laila Nur Nindya Risnina Purnama, I Putu Adhitya Pratama Mangku Puspita, Nindita Cahya Raffly Andico Devara Rahma Fauzia Raras Tyas Nurita Raras Tyasnurita Retno A. Vinarti Retno Aulia Vinarti Rikasakomara, Edwin Riksakomara, Edwin Rizka Wakhiddatus Sholikah Rully Agus Hendrawan Sayekti Harits Suryawan, Sayekti Harits Septica Tiara Indah Permatasari Sidharta, Hanugra Aulia Sugiyanto - Tri Achmadi Wiwik Anggraeni Wiwik Anggraeni Wiwik Anggraeni Zakaria, Hasballah