Journal
Aesthetic Study on Sakucing's Instagram Channel as an Educational Media for Teenagers
Catharsis · Vol. 13 No. 2 (2024) · pp. 121–130
- ISSN
- 2502-4531, 2252-6900
- Published
- 2024-11-30
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
Cats are one of the most desirable animals to keep because of their cuteness. To get them, people usually buy them from pet shops, animal breeders, or adoption. However, not everyone who keeps them pays attention to the responsibilities and risks involved in keeping them. Many abandoned cats posted on social media show the lack of awareness and information on animal welfare. Instagram provides an opportunity to deliver these messages effectively and creatively as it is one of the most popular social media platforms in Indonesia. The discussion of visual aesthetics studies is used to deepen the understanding of how visual elements affect perception and interpretation. In this digital age, where visuals play an important role in communication, understanding aesthetics becomes relevant as it is able to make information more attractive and easy to understand. This research aims to explain the aesthetics and messages contained in Sakucing.id's Instagram content. This research uses descriptive qualitative methods. Data collection techniques were obtained by documenting literature data, artwork data, and content information data. Data analysis is done by analyzing the visual and content analysis of the content, then studying it using Fledman's aesthetic theory. The results show that the visualization of Sakucing content illustrations interprets the invitation to care more about cats by expressing it using a cartoon style as a visual appeal aimed at teenagers.
Keywords
Collaboration network of the authors
40 authors · 103 co-authorship links · 1 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- State University of Semarang
- Sebelas Maret University
- IPB University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Syakir Syakir | Affiliation unknown | 7 |
| Wandah Wibawanto | Affiliation unknown | 5 |
| Agus Cahyono | Affiliation unknown | 3 |
| Kemal Budi Mulyono | Affiliation unknown | 2 |
| Muh Fakhrihun Naam | Affiliation unknown | 2 |
| Achmad Zairin | Affiliation unknown | 2 |
| Retnoningrum Hidayah | Affiliation unknown | 2 |
| Arif Fiyanto | Affiliation unknown | 2 |
| Rahina Nugrahani | State University of Semarang | 2 |
| Dwi Wahyuni Kurniawati | Affiliation unknown | 1 |
| Muhammad Zulmi | Affiliation unknown | 1 |
| Reza Khatami | Affiliation unknown | 1 |
| Abdul Aziz | Sebelas Maret University | 1 |
| Adhytia Rizkyhimawan | Affiliation unknown | 1 |
| Pratama Widagdo | Affiliation unknown | 1 |
| Vika Afriliyani | Affiliation unknown | 1 |
| Syahrul Syah Sinaga | Affiliation unknown | 1 |
| Udi Utomo | Affiliation unknown | 1 |
| Prima Suci Lestari | Affiliation unknown | 1 |
| Suharto S | Affiliation unknown | 1 |
| Widodo Widodo | IPB University | 1 |
| Slamet Haryono | Affiliation unknown | 1 |
| Malarsih Malarsih | Affiliation unknown | 1 |
| Frizia Nuary Novalia Frizia Nuary Novalia | Affiliation unknown | 1 |
| Mardina Rahayu | Affiliation unknown | 1 |
| Bangkit Sanjaya | Affiliation unknown | 1 |
| Annisa' Ayu Firmadhani | Affiliation unknown | 1 |
| Anindya Saskia Hanifaratri | Affiliation unknown | 1 |
| Anung Gunarto | Affiliation unknown | 1 |
| Muhammad Rijalul Azka Arifin | Affiliation unknown | 1 |
| Sarpani Sarpani | Affiliation unknown | 1 |
| Adinda Surya Adi | Affiliation unknown | 1 |
| Triyanto Triyanto | Affiliation unknown | 1 |
| Ita Yulaida | Affiliation unknown | 1 |
| Yuli Tri Astuti | Affiliation unknown | 1 |
| Imran - Imran | Affiliation unknown | 1 |
| Deva Marsiana | Affiliation unknown | 1 |
| Nengah Widiasari | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.