Studi Komparatif Efektivitas Pembelajaran Bahasa Jepang melalui LuvLingua dan YouTube di Era Belajar Mandiri Digital

The rapid advancement of digital technology has transformed the landscape of language learning, particularly in the post-pandemic era where self-directed learning through mobile applications and online platforms is increasingly common. This study explores the effectiveness of two popular digital tools LuvLingua and YouTube in supporting independent Japanese language learning among Indonesian university students. LuvLingua offers a structured, gamified approach suitable for beginners, while YouTube provides authentic and contextual exposure through real-life content. Using a descriptive quantitative method, this research involved twelve students from non-language majors who actively use both platforms to study Japanese. The findings reveal that each platform has distinct advantages: LuvLingua excels in foundational vocabulary and pronunciation, whereas YouTube significantly enhances listening skills and cultural understanding. The combination of both platforms yields optimal learning outcomes, although success heavily depends on learners’ motivation, discipline, and time management. This study contributes to the growing body of research on technology-assisted language learning and provides practical recommendations for learners, educators, and content developers.

Authors

Publication Details

Journal
Pragmatik Jurnal Rumpun Ilmu Bahasa dan Pendidikan 
Published
2025-05-19
DOI
https://doi.org/10.61132/pragmatik.v3i3.1707
Primary Topic
Educational Methods and Media Use
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Studi Komparatif Efektivitas Pembelajaran Bahasa Jepang melalui LuvLingua dan YouTube di Era Belajar Mandiri Digital

Kayla Attya Ramadhani, Fikri Saputra, Muhammad Yordi Septian, Fadhlan Zaki Darmansyah et al.
Pragmatik Jurnal Rumpun Ilmu Bahasa dan Pendidikan 
Educational Methods and Media Use
article

Studi Komparatif Efektivitas Pembelajaran Bahasa Jepang melalui LuvLingua dan YouTube di Era Belajar Mandiri Digital

Kayla Attya Ramadhani, Fikri Saputra, Muhammad Yordi Septian, Fadhlan Zaki Darmansyah, Humannisa Rubina Lestari
article en

Abstract

The rapid advancement of digital technology has transformed the landscape of language learning, particularly in the post-pandemic era where self-directed learning through mobile applications and online platforms is increasingly common. This study explores the effectiveness of two popular digital tools LuvLingua and YouTube in supporting independent Japanese language learning among Indonesian university students. LuvLingua offers a structured, gamified approach suitable for beginners, while YouTube provides authentic and contextual exposure through real-life content. Using a descriptive quantitative method, this research involved twelve students from non-language majors who actively use both platforms to study Japanese. The findings reveal that each platform has distinct advantages: LuvLingua excels in foundational vocabulary and pronunciation, whereas YouTube significantly enhances listening skills and cultural understanding. The combination of both platforms yields optimal learning outcomes, although success heavily depends on learners’ motivation, discipline, and time management. This study contributes to the growing body of research on technology-assisted language learning and provides practical recommendations for learners, educators, and content developers.

Pragmatik Jurnal Rumpun Ilmu Bahasa dan Pendidikan Vol. 3(3)
Openalex Percentile: Top 85%
Educational Methods and Media Use
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.