Perancangan Aplikasi Media Sosial TeiTei

Diofavian Rafif Chairulsyah, Claudio Nehemia Panggabean, Aditya Dwi Wibowo, Umniy Salamah

Abstract


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.

Keywords


digital transformation, social media, search algorithm, web-based social media

Full Text:

PDF

References


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




DOI: http://dx.doi.org/10.22441/format.2025.v14.i2.003

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Format : Jurnal Ilmiah Teknik Informatika

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Format : Jurnal Ilmiah Teknik Informatika
Fakultas Ilmu Komputer Universitas Mercu Buana
Jl. Raya Meruya Selatan, Kembangan, Jakarta 11650
Tlp./Fax: +62215840816
http://publikasi.mercubuana.ac.id/index.php/format

p-ISSN: 2089-5615
e-ISSN:2722-7162

Lisensi Creative Commons
Ciptaan disebarluaskan di bawah Lisensi Creative Commons Atribusi-NonKomersial 4.0 Internasional.

View My Stats