Digital learning applications like HeyJapan are increasingly popular. User reviews on platforms such as Google Play Store contain valuable information on user perceptions and experiences. To process this information systematically, this study employs a Natural Language Processing (NLP) approach to analyze sentiment toward the HeyJapan application. Data was collected using web scraping techniques with Python and the google play scraper library, resulting in 1,000 latest user reviews. The analysis included data collection, preprocessing, sentiment labeling using TextBlob, visualization, modeling with Logistic Regression, and evaluation. After preprocessing, 923 valid reviews were classified into three sentiment categories based on polarity which are positive, neutral, and negative. Results showed 71.4% of reviews positive, 26.1% neutral, and 2.5% negative. Visualizations in pie charts and word clouds provided an overview of user perceptions. Modeling with TF-IDF and Logistic Regression achieved 88% accuracy with the highest f1-score in the positive sentiment category. Evaluation indicates the model is fairly reliable in classifying sentiments, especially for positive and neutral categories, though negative sentiment classification needs improvement. This study shows the NLP approach can evaluate user perceptions of educational applications based on reviews and serve as a basis for improving foreign language learning app quality.

The rapid development of social media has changed the learning patterns of the digital generation, including in learning Japanese. This study examines the effectiveness of short videos based on social media such as YouTube Shorts, TikTok, and Instagram Reels as a medium for learning Japanese. The study used a quantitative approach through a descriptive survey with a Likert scale instrument, involving 61 respondents who had experience teaching Japanese using short videos. The findings showed that this media effectively improved vocabulary and phrase understanding, practised pronunciation, and built learning motivation. However, its effectiveness in developing productive skills such as speaking and writing is still limited. Most respondents also stated the need for longer content to deepen mastery of the material. These findings indicate that short videos have the potential to be an interesting, practical, and easily accessible learning medium. However, the development of learning content should be directed at combining the visual appeal of short videos and communication practice-oriented materials to achieve more optimal and sustainable learning outcomes.

This study aims to examine the effectiveness of the LingoDeer application as a learning medium for basic level Japanese language learners. A quantitative approach was employed using a One Group Pretest Posttest design involving 50 students from the Vocational School of IPB University. The research instrument consisted of pretest and posttest assessments focusing on three key areas: vocabulary, grammar, and reading skills. Based on the results of the paired sample t-test, a significant improvement was found in all aspects after the use of the application, with the average score increasing from 60.97% to 81.25%. The greatest improvement was observed in vocabulary, followed by reading and grammar. These findings suggest that LingoDeer, with its structured learning system, spaced repetition feature, and interactive exercises, can effectively support the development of Japanese language skills at the beginner level. This study is expected to serve as a reference for educators in selecting appropriate technology-based learning tools to enhance language acquisition.

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.

This research looks into how well Duolingo and YouTube help people learn Japanese. A quantitative approach was taken, gathering information from 35 individuals through an online questionnaire. Participants were chosen based on whether they used Duolingo, YouTube, or both platforms. The questionnaire explored their past learning experiences, how they use these platforms, their preferences, how effective they think these tools are, and what challenges they encountered while learning. The findings reveal that most of the participants already had some background in Japanese and preferred online resources due to their accessibility, no cost, and fun features. Duolingo was liked for its organized, game-like approach, whereas YouTube was appreciated for its authentic, visual materials. A lot of people enjoyed learning at their own pace, finding listening and pronunciation to be useful strategies. Some individuals struggled with staying motivated and dealing with complicated grammar rules. To sum up, both Duolingo and YouTube are good resources for learning basic Japanese, especially for those studying on their own. However, they work best when used alongside other resources. It is suggested to combine digital tools with guidance from teachers for the best outcomes.

This study aims to analyze the effectiveness of Drops app in improving Japanese vocabulary acquisition among beginners. Based on the theory of cognitivism, the study used a descriptive qualitative method with a sample of 21 subjects who answered 11 questions through a Google Form survey. Results showed that the use of Drops significantly increased the average vocabulary score by 43 % (from 28.5 to 40.7), which was influenced by the integration of gamification features and spaced repetition mechanism in the application. The majority of respondents (76 %) reported high satisfaction with ease of use, learning motivation, and effectiveness of visual illustrations, consistent with previous research on audiovisual and gamification-based mobile apps. However, about 24 % of respondents recorded medium to low scores on motivational aspects and interface appearance, indicating the need for UX/UI enhancements to expand adoption. Demographic statistics revealed the average age of respondents to be 18.38 years (Q1=17; median=18; Q3=20), confirming that teenagers and pre-adults are the main group of Drops users. The findings provide recommendations for both language education practitioners and app developers to optimize design and features to maximize vocabulary learning effectiveness.