Identification of Social Media Addiction Levels on "TikTok" Among Students Using Mamdani Fuzzy Logic

  • Syauqi Syauqi Rahmatullah Computer Science Department, Universitas Islam Negeri Sumatera Utara
  • Sriani Computer Science Department, Universitas Islam Negeri Sumatera Utara
https://doi.org/10.25139/inform.v10i1.8447
Abstract views: 297 , PDF downloads: 217
Keywords: Social Media Addiction, TikTok, Fuzzy Mamdani Method, Mamdani Fuzzy Logic, MATLAB

Abstract

According to data from the Global Web Index in their early 2023 survey, advertising sources published by Byte Dance indicate that TikTok has 109.9 million users aged 18 and above in Indonesia alone. This highlights the inevitable trend of teenagers becoming addicted to social media, particularly the TikTok app. Related parties are starting to notice this addiction issue, along with a noticeable decline in academic performance, possibly as a result of students neglecting their time by spending it on social media (TikTok). Analyzing variables such as usage duration, productivity impact, and neglect of social interactions aims to measure TikTok addiction among students using the Mamdani fuzzy logic method. Of the 75 respondents surveyed, 17.33% were identified as "Not Addicted", 72% were identified as "Addicted", and the remaining 10.67% were identified as "Highly Addicted". The results show that most students are already identified as addicted to TikTok. The Mamdani fuzzy logic method is considered effective in handling uncertainties in human behaviour. By utilizing MATLAB’s Fuzzy Logic Toolbox, this research models and evaluates addiction levels, providing insights to reduce excessive TikTok usage. This study also provides a strong foundation for future research exploring social media addiction on other platforms or among different populations. It encourages using technologies like MATLAB’s Fuzzy Logic Toolbox in educational contexts to address other complex problems.

References

S. Hartinah, A. Sriati, and C. E. Kosasih, “Gambaran Tingkat Gejala Kecanduan Media Sosial pada Mahasiswa Keperawatan Universitas Padjadjaran,” J. Keperawatan BSI, vol. 7, no. 1, pp. 123–133, 2019.

Y. Nian, T. S. Krishna, A. S. Andik, and R. D. Lestari, “Sistem Pendukung Keputusan Pemilihan Kualitas Kayu Terbaik Untuk Kerajinan Meubel Menggunakan Metode Analytical Hierarchy Process (Ahp),” Comput. Sci., vol. 1, no. 1, pp. 1–11, 2020.

dr. F. R. Makarim, “Cek Fakta: Kecanduan TikTok Bisa Picu Penurunan Kognitif Otak,” halodoc, 2022. https://www.halodoc.com/artikel/cek-fakta-kecanduan-tiktok-bisa-picu-penurunan-kognitif-otak (accessed Nov. 05, 2023).

M. Marbun and N. Harefa, “Implementasi Logika Fuzzy Mamdani Untuk Mengidentifikasi Tingkat Kecanduan Pelajar Terhadap Game Online,” JOISIE J. Inf. Syst. Informatics Eng., vol. 4, no. 2, pp. 128–138, 2020.

R. Setiawan, A. Triayudi, and A. Gunawan, “Diagnosa Kecanduan Gadget Pada Anak Usia Dini dengan Metode Fuzzy Sugeno dan Fuzzy Mamdani,” J. Comput. Syst. Informatics, vol. 4, no. 2, pp. 315–325, 2023, doi: 10.47065/josyc.v4i2.3018.

V. M. Nasution and G. Prakarsa, "Optimasi Produksi Barang Menggunakan Logika Fuzzy Metode Mamdani," In Search, vol. 18, no. 2, pp. 180–189, 2019, doi: 10.37278/insearch.v18i2.222.

M. Dary Daffa Haque, “Penerapan Logika Fuzzy Mamdani Untuk Optimasi Persediaan Stok Makanan Hewan,” Media Online), vol. 4, no. 1, pp. 427–437, 2023, doi: 10.30865/klik.v4i1.1160.

M. Munawaroh, “Analisa dan Penerapan Fuzzy Inference System Metode Mamdani untuk Penentuan Penerima Beasiswa,” Int. J. Artif. Intell., vol. 6, no. 1, pp. 21–52, 2019, doi: 10.36079/lamintang.ijai-0601.31.

M. A. Mattos-Vela, "Optimization of National Rice Production with Fuzzy Logic using Mamdani Method," Br. Dent. J., vol. 231, no. 4, p. 207, 2021, doi: 10.1038/s41415-021-3384-2.

A. D. Putri and A. Maulana, “Penerapan Metode Mamdani Fuzzy Logic untuk Menentukan Pembelian Alat Berat dalam Proyek Migas di PT SMOE Indonesia,” J. Desain Dan Anal. Teknol., vol. 2, no. 2, pp. 138–149, 2023, doi: 10.58520/jddat.v2i2.32.

M. Khalil, “Perbandingan Logika Fuzzy Metode Mamdani Dan Sugeno Untuk Memprediksi Jumlah Produksi Roti,” pp. 822–832, 2022.

R. P. Profita, “Identifikasi Motif Menonton Tayangan Program Televisi ‘ Laptop Si Unyil ’ Trans 7,” Ilmu Komun., vol. 3, no. 4, pp. 29–43, 2015.

Flin, “Identification dan Authentication dalam Keamanan Komputer,” flinsetyadi.com, 2023. https://flinsetyadi.com/identification-dan-authentication/ (accessed Nov. 14, 2023).

R. Wulandari and N. Netrawati, “Analisis Tingkat Kecanduan Media Sosial Pada Remaja,” J. Ris. Tidankan Mhs., vol. 5, no. 2, pp. 1–15, 2020.

M. G. Shahnawaz and U. Rehman, "Social networking addiction scale," Cogent Psychol., vol. 7, no. 1, pp. 1–16, 2020, doi: 10.1080/23311908.2020.1832032.

M. Ilham Rofiqi and H. Hindarto, “Analisis Kecanduan Game Player Unknown’s Battlegrounds (PUBG) Mobile dengan Menggunakan Logika Fuzzy,” J. Inform. Polinema, vol. 7, no. 2, pp. 97–102, 2021, doi: 10.33795/jip.v7i2.327.

A. P. Indah and D. A. Maulana, “Model Dinamika Kecanduan Media Sosial : Studi Kasus Kecanduan Tiktok Pada Mahasiswa Fmipa Unesa,” MATHunesa J. Ilm. Mat., vol. 10, no. 1, pp. 131–139, 2022, doi: 10.26740/mathunesa.v10n1.p131-139.

L. Aisafitri and K. Yusriyah, “KECANDUAN MEDIA SOSIAL (FoMO) PADA GENERASI MILENIAL,” J. Audience, vol. 4, no. 01, pp. 86–106, 2021, doi: 10.33633/ja.v4i01.4249.

A. Atina, “Aplikasi Matlab pada Teknologi Pencitraan Medis,” J. Penelit. Fis. dan Ter., vol. 1, no. 1, p. 28, 2019, doi: 10.31851/jupiter.v1i1.3123.

A. Fitria Salsabella, B. Suprianto, and M. Syariffuddien Zuhrie, “Analisis Pengerukan Sampah Pada Sungai Kawasan Jakarta Pusat Dengan Sistem Inferensi Fuzzy Takagi-Sugeno Berbasis Matlab,” J. Tek. Elektro, vol. 11, no. 2, pp. 288–296, 2022.

V. H. Pranatawijaya, W. Widiatry, R. Priskila, and P. B. A. A. Putra, “Penerapan Skala Likert dan Skala Dikotomi Pada Kuesioner Online,” J. Sains dan Inform., vol. 5, no. 2, pp. 128–137, 2019, doi: 10.34128/jsi.v5i2.185.

M. Kolhar, R. N. A. Kazi, and A. Alameen, "Effect of social media use on learning, social interactions, and sleep duration among university students," Saudi J. Biol. Sci., vol. 28, no. 4, pp. 2216–2222, 2021, doi: 10.1016/j.sjbs.2021.01.010.

C. Priyadarshini, R. K. Dubey, Y. L. N. Kumar, and R. R. Jha, "Impact of social media addiction on employees' wellbeing and work productivity," Qual. Rep., vol. 25, no. 1, pp. 181–196, 2020, doi: 10.46743/2160-3715/2020.4099.

Published
2024-08-07
How to Cite
Syauqi Rahmatullah, S., & Sriani, S. (2024). Identification of Social Media Addiction Levels on "TikTok" Among Students Using Mamdani Fuzzy Logic. Inform : Jurnal Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 10(1), 8-15. https://doi.org/10.25139/inform.v10i1.8447
Issue
Vol. 10 No. 1 (2025)
Section
Articles

Copyright (c) 2024 Syauqi Syauqi Rahmatullah, Sriani Sriani

Creative Commons License

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

Authors who publish with Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal. 

  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.

  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.