An Exploratory Study of Digital Traditional Folklore and Its Acceptance Among Generation Z in Indonesia

  • Putri Utami Fakultas Ilmu Komputer, Universitas Internasional Batam, Indonesia
  • Hendi Sama Fakultas Ilmu Komputer, Universitas Internasional Batam, Indonesia
Keywords: Folklore, Generation Z, Digital

Abstract

Indonesia is a country with diverse cultures, from Sabang to Merauke. Indonesia's cultural diversity is due to Indonesia being an archipelago with a diversity of ethnicities, cultures, languages, and natural resources. One of the cultures owned by each region is folklore. Folklore is part of the oral literature of folklore, which contains aspects of regional culture that will contribute to the nation's wealth. Folklore is expected to increase pedagogical understanding, especially for Generation Z, so that it can support the learning process both formally and informally and preserve the nation's culture as a provision for applying moral values and character. The use of online media is increasing in urban and rural communities. Communication patterns with online media seem familiar because they are believed to fulfill the need for information and data. Gen Z is a generation that has been interacting with technology since birth. Technology and the internet contributed to their growth. They were born between 1995 and 2012 and have never had the opportunity to live without technology and the internet. The existence of technology and the internet has become a crucial part of their daily lives. This research uses a mixed method with a causalistic quantitative basis, a research model very close to research in other sciences. This approach allows researchers to conduct tests or calculations that can be used in decision-making. With a quantitative approach, this research aims to deliver thorough and empirical results and information.

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References

I. S. Nova and A. Putra, “Eksplorasi Etnomatematika pada Cerita Rakyat,” Plusminus J. Pendidik. Mat., vol. 2, no. 1, pp. 67–76, 2022.

P. Amelia and H. Purwaningsih, “Desain Komik Digital Cerita Rakyat Desa Arjowilangun,” Brikolase J. Kaji. Teor. Prakt. dan Wacana Seni Budaya Rupa, vol. 13, no. 2, pp. 1–21, 2021, doi: 10.33153/brikolase.v13i2.3829.

R. Nasrullah, Teori dan riset media siber (cybermedia). Prenada Media, 2022.

Djoko Waluyo and Rosmawati, “Dinamika Seni Tradisional Pada Era Digital Dynamics of Traditional Art in the Digital Age,” Maj. Semi Ilm. Pop. Komun. Massa, vol. 2, no. 2, pp. 161–172, 2021.

H. Ukum and T. Eknologi, “Folklor Digital: Tantangan dan Strategi Penguatan Hak Atas Kekayaan Intelektual di Era Society 5.0,” vol. 2, no. 2015, 2021.

Republika.co.id, “cerita rakyat di indonesia mengalami krisis.”

E. F. Andalas, A. B. Wurianto, and A. Setiawan, “Menjadi Indonesia: Membangun Nasionalisme, Identitas Kultural, dan Religiositas Siswa Diaspora Indonesia di Singapura,” INTERNASIONALISASI Bhs. Indones. Perspekt. Lintas Negara, p. 128, 2021.

G. V. Setiadi, “Review : Perkembangan Ekonomi Digital di Indonesia,” 2019, doi: 10.31227/osf.io/d89jm.

databoks, “Ada 204,7 Juta Pengguna Internet di Indonesia Awal 2022,” katameidia networks, 2019.

R. Panggabean and N. A. Hasibuan, “Penerapan Preference Selection Index (PSI) Dalam Sistem Pendukung Keputusan Pengangkatan Supervisor Housekeeping,” Resolusi Rekayasa Tek. Inform. dan Inf., vol. 1, no. 2, pp. 85–93, 2020.

L. Y. Hastini, R. Fahmi, and H. Lukito, “Apakah Pembelajaran Menggunakan Teknologi dapat Meningkatkan Literasi Manusia pada Generasi Z di Indonesia?,” J. Manaj. Inform., vol. 10, no. 1, pp. 12–28, 2020, doi: 10.34010/jamika.v10i1.2678.

A. Savitri, Revolusi industri 4.0: mengubah tantangan menjadi peluang di era disrupsi 4.0. Penerbit Genesis, 2019.

Sugiyono, Metode penelitian: Pendekatan Kuantitatif, Kualitatif, dan R&D. Bandung : Alfabeta, 2015, 2017.

S. Hosseini, D. Ivanov, and A. Dolgui, “Review of quantitative methods for supply chain resilience analysis,” Transp. Res. Part E Logist. Transp. Rev., vol. 125, pp. 285–307, 2019, doi: 10.1016/j.tre.2019.03.001.

M. S. Priadana and D. Sunarsi, Metode Penelitian Kuantitatif. Pascal Books, 2021.

Hasugian, P. M. (2020). Village Status Grouping Analysis Using Agglomerative Hierarchical Clustering (AHC): Village Status Grouping Analysis Using Agglomerative Hierarchical Clustering (AHC). Jurnal Mantik, 4(1), 950-954. https://doi.org/10.35335/mantik.Vol4.2020.878.pp950-955

Published
2022-12-31
How to Cite
Utami, P., & Sama, H. (2022). An Exploratory Study of Digital Traditional Folklore and Its Acceptance Among Generation Z in Indonesia. INFOKUM, 10(5), 460-467. Retrieved from http://infor.seaninstitute.org/index.php/infokum/article/view/989