RADIANT: Journal of Applied, Social, and Education Studies

Shareloc: An Analysis of Isekai Elements Across Different Genre and Cinematic Cultures

Mon, 16 Jun 2025 00:00:00 +0000

The Isekai genre stories where characters are transported from their familiar world to a fantastical or parallel reality has gained significant popularity across various media. However, its presence in films from different cultural contexts has received less scholarly attention. The objective of this research is to explore the Isekai elements found in ‘Along with the Gods: The Two Worlds’, ‘Saranjana Kota Ghaib’, ‘Spirited Away’, and ‘Jumanji: Welcome to the Jungle’. This study aims to analyze how the movie genres aligned with the Isekai elements through the characters journey. This research employed a descriptive qualitative method to analyze both textual and visual elements derived from narrative components and scenes depicting character teleportation or Isekai transitions. The analysis followed (Spradley, 2016) method, which consists of four phases: domain, taxonomy, componential, and cultural theme. In the domain analysis phase, (Mendlesohn, 2014) theory of Isekai was applied. The analysis reveals that Isekai appears in various genres, including adventure, action, and horror, in the four selected films, featuring elements such as portal-quest, liminal, and intrusion. This research helps readers apply Isekai elements to diverse creative works, such as video games, novels, films, and poetry

Comparison of Naive Bayes and Support Vector Machine (SVM) Methods in Female Daily Skincare Sentiment Analysis

Rifqi Fauzi Rahmadzani, Riszki Wijayatun Pratiwi, Astrid Noviana Paradita — Mon, 16 Jun 2025 00:00:00 +0000

The development of the beauty industry in Indonesia has increased significantly, along with the high participation of consumers in providing online reviews, especially through the Female Daily platform. These reviews contain opinions that can be analyzed to determine consumer sentiment towards a product. This study seeks to perform sentiment analysis on beauty product reviews by applying two text classification techniques: Support Vector Machine (SVM) and Naive Bayes. The research stages include collecting review data from Female Daily, text preprocessing (such as tokenization, stemming, and stopword removal), and sentiment classification into two categories, namely Yes and No. The evaluation results indicate that the SVM method outperforms Naive Bayes, achieving a higher level of accuracy. SVM is able to capture more complex patterns in text data, while Naive Bayes tends to produce lower performance due to the assumption of independence between features. The evaluation results demonstrate that the SVM method performs better than Naive Bayes, achieving higher accuracy scores. SVM excels at recognizing more intricate patterns in textual data, whereas Naive Bayes often shows lower performance due to its assumption of feature independence. Overall, the majority of user reviews are positive, reflecting satisfaction with certain beauty products. This study shows that the SVM method is more recommended for text-based sentiment analysis of reviews in the beauty industry, especially in the context of diverse and unstructured consumer review data. As for the accuracy results of the Naive Bayes method is 80% and the accuracy results of the SVM method is 87%.

Development of a Digital Reference Book for the Audio Media Course

Hamda Kharisma Putra — Mon, 16 Jun 2025 00:00:00 +0000

The Audio Media course in the Educational Technology Study Program plays a significant role in enhancing the effectiveness of learning. Audio media such as podcasts, lecture recordings, and interactive materials offer variety in content delivery and enrich the learning experience through sensory exploration. The diversity of audio media formats also allows information to be delivered in ways that accommodate various student learning styles. With ongoing technological advancements, research and development activities are crucial to identify current trends, technologies, and teaching methods. As part of efforts to support the learning process, a reference book was developed in the form of an e-book accessible via Android devices. This development follows a Research and Development (R&D) approach, based on the perspective of Borg and Gall, who state that this approach is effective in designing and validating educational products. The e-book development went through several stages: analysis, design, and development. The analysis stage was conducted to identify student needs, while the design stage focused on creating an engaging product that enhances learning outcomes. The development stage involved product feasibility testing using a 100-point rating scale. Validation results showed that the e-book is highly feasible for use. From the content expert validation, a score of 87.1 was obtained across 8 assessed aspects. Meanwhile, the media expert validation yielded a score of 84.1 across 12 aspects. Field testing revealed that 90% of students found the module easy to understand, 85% stated that the material was presented clearly and systematically, and 80% appreciated the visual design and illustrations in the module. Based on these results, the Android-based e-book is expected to serve as an effective learning resource that supports the advancement of learning in the Audio Media course.