Perancangan Aplikasi Media Sosial TeiTei
DOI:
https://doi.org/10.22441/format.2025.v14.i2.003Kata Kunci:
digital transformation, social media, search algorithm, web-based social mediaAbstrak
Digital transformation has driven the need for social media platforms that can provide simple, personal, and effective interactions. However, many existing applications tend to offer complex features that are less relevant to user needs. This research aims to design and develop TeiTei, a web-based social media application that emphasizes ease of use, convenience, and interactivity. This research includes identifying user needs, designing a user-friendly interface using the CSS Bootstrap framework, developing a PHP-based system with the Laravel framework, and managing the database using MySQL. In addition, a search algorithm was implemented to improve the efficiency of finding other users on the platform. The results of this research produced a web-based social media application prototype that can meet user needs through an intuitive interface design and relevant features. The implementation of search algorithms also adds value by expanding users' social networks. This research is expected to make a significant academic contribution to the development of social media applications, as well as serve as a reference for similar studies aimed at enhancing digital social interaction experiences.Unduhan
Referensi
Ridwansyah, T., Subartini, B., & Sylviani, S. (2024). Penerapan metode content-based filtering pada sistem rekomendasi. Mathematical Sciences and Applications Journal, 4(2), 70-77. https://doi.org/10.22437/msa.v4i2.32136
Halim, R. C., & Sugiarto, S. (2018). Penerapan algoritma AES dalam perancangan aplikasi media sosial berbasis Android. Jurnal ENTER, 1, 368-373. http://www.sisfotenika.stmikpontianak.ac.id/index.php/enter/article/view/821
Hamzah, M. H. J., Tulenan, V., & Najoan, X. B. N. (2016). Analisa dan perancangan website media sosial (Studi kasus Program Studi Informatika Universitas Sam Ratulangi). E-Journal Teknik Informatika, 9(1), 1-3. https://ejournal.unsrat.ac.id/index.php/informatika/article/view/13751
Rosiana, P. S., Nurhidayat, A. R., Mohsa, A. A., & Ridha, A. A. (2023). Analisis aplikasi TikTok berdasarkan prinsip dan paradigma interaksi manusia dan komputer menggunakan evaluasi heuristic. JITET (Jurnal Informatika dan Teknik Elektro Terapan), 11(3), 686-690. http://journal.eng.unila.ac.id/index.php/jitet/article/view/3271/1461
Arjuna, B., Mulyadi, B. S., Asardan, M. H., Adristina, N., Sekarwangi, N., Ardana, R. A. Z., Hanafi, R., & Khaerani, S. (2024). Pengaruh algoritma rekomendasi terhadap personalisasi konten digital di TikTok pada mahasiswa sistem informasi UNNES. Jurnal Potensial, 3(1), 117-127. http://jurnalilmiah.org/journal/index.php/potensial
Andini, A. T., & Yahfizham. (2024). Analisis algoritma pemrograman dalam media sosial terhadap pola konsumsi konten. Jurnal Arjuna: Publikasi Ilmu Pendidikan, Bahasa dan Matematika, 2(1), 286-296. https://doi.org/10.61132/arjuna.v2i1.523
Malik, R., & Nurhadi, J. (2021). Meningkatkan keterampilan berbahasa pada anak dengan memanfaatkan algoritma aplikasi Tiktok, Instagram Reels, dan Youtube Shorts. Disastra: Jurnal Pendidikan Bahasa dan Sastra Indonesia, 3(2). http://dx.doi.org/10.29300/disastra.v5i1.3224
Agustina, N., Adrian, A., & Hermawati, M. (2022). Implementasi Algoritma Naïve Bayes Classifier untuk Mendeteksi Berita Palsu pada Sosial Media. Faktor Exacta, 14(4), 206-213.
Fajar, M., Kambodji, A. B., & Musdar, I. A. (2023). Implementasi Algoritma Advanced Encryption Standard untuk Pengamanan Data Pengguna Aplikasi Media Sosial VirCle. Jurnal Algoritma, 20(2), 398-409
Ma'arif, M. I., Fakhruroji, M., & Fathoni, U. (2021). Pemanfaatan Aplikasi Tiktok Untuk Berita Online (Studi Kasus Pada Akun Tiktok@ Suaradotcom). Annaba: Jurnal Ilmu Jurnalistik, 6(4), 443-460.
Wolff, J. (2021). Piercing the veil: Designs to support information literacy on social platforms. CHI’21 Workshop on Technologies to Support Critical Thinking in an Age of Misinformation (CTAM21). ACM. https://arxiv.org/abs/2106.01627
Kanoje, S., Powar, V., & Mukhopadhyay, D. (2015). Using MongoDB for social networking website: Deciphering the pros and cons. IEEE Sponsored 2nd International Conference on Innovations in Information Embedded and Communication Systems (ICIIECS’15). https://arxiv.org/abs/1503.06548
Covington, P., Adams, J., & Sargin, E. (2016). Deep neural networks for YouTube recommendations. Proceedings of the 10th ACM Conference on Recommender Systems (RecSys '16), Boston, MA, USA. ACM. https://doi.org/10.1145/2959100.2959190
Singh, A., Hosanagar, K., & Nevo, A. (2021). Network externalities and cross-platform app development in mobile platforms. The Wharton School, University of Pennsylvania. Retrieved from https://marketing.wharton.upenn.edu/wp-content/uploads/2021/09/09.29.2021-Singh-Amandeep-PAPER1-appmarket.pdf
Gong, X., Feng, Q., Zhang, Y., Qin, J., Ding, W., Li, B., Jiang, P., & Gai, K. (2022). Real-time short video recommendation on mobile devices. arXiv preprint arXiv:2208.09577. Cornell University. https://doi.org/10.48550/arXiv.2208.09577
Eg, R., Tønnesen, Ö. D., & Tennfjord, M. K. (2023). A scoping review of personalized user experiences on social media: The interplay between algorithms and human factors. Computers in Human Behavior Reports, 9, 100253. Elsevier. https://doi.org/10.1016/j.chbr.2022.100253
Kwak, D., Bae, H., & Lim, Y. (2023). Design considerations for supporting social interaction in algorithmic social media feed. Proceedings of the International Association of Societies of Design Research Congress 2023. Politecnico di Milano, 9-13 October 2023. https://doi.org/10.21606/iasdr.2023.536
Chen, X. Investigation on the Self-Improving Algorithm of TikTok Based on Extensive User Interactions. SCITEPRESS.
Schwartz, R., Naaman, M., & Teodoro, R. (2015). Editorial algorithms: Using social media to discover and report local news. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 9, No. 1, pp. 407-415).
Liu, W., Wan, H., & Yan, B. (2023). Short video recommendation algorithm incorporating temporal contextual information and user context. Cmes-Computer Modeling in Engineering & Sciences, 135(1), 239-258. https://doi.org/10.32604/cmes.2022.022827
Sudarya Triana, Y., Adrianti, F. F., & Maharani, F. A. (2020). Implementasi metode content based filtering pada aplikasi pencarian taman penitipan anak. Resti: Rekayasa Sistem dan Teknologi Informasi, 3(2), 95-104. https://doi.org/10.29207/resti.v3i2.921
Unduhan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
The copyright to this article is transferred to Universitas Mercu Buana (UMB) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to UMB. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment.
We declare that this paper has not been published in the same form elsewhere.
Furthermore, I/We hereby transfer the unlimited rights of publication of the above-mentioned paper as a whole to UMB. The copyright transfer covers the right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.
The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. This agreement is to be signed by at least one of the authors who have obtained the assent of the co-author(s) where applicable. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.
Retained Rights/Terms and Conditions
Although authors are permitted to re-use all or portions of the Work in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.
Our Articles are licensed under CC BY-NC
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
