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All Journal BAHASTRA
Afnita Afnita
State University of Padang
Arts Humanities Education Languange, Linguistic, Communication & Media

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Prototype design of AR-based flipbook with local wisdom for reading media Afnita Afnita; Amril Amir; Farel Olva Zuve; Marzni Mohamed Mokhtar; Al Khansa Humaira Fadil; Iflah Li’idaini
BAHASTRA Vol. 46 No. 1 (2026): BAHASTRA
Publisher : Universitas Ahmad Dahlan

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This research is motivated by a critical educational paradox in West Sumatra, where high public reading interest indexes contradict the low functional reading competence among secondary school students. This cognitive discrepancy is primarily caused by the reliance on nationally standardized teaching materials that alienate students from their socio-cultural environment. To address theoretical and practical gaps in digital ethnopedagogy, this research aims to systematically design a conceptual blueprint of an interactive flipbook prototype that utilizes Augmented Reality (AR) to materialize abstract Minangkabau cultural concepts. The methodology employed in this research is a descriptive-analytical approach focused specifically on a preliminary study and conceptual design. The scope of this research is deliberately delimited to comprehensive needs analysis and structural product design. Empirical data were gathered from eighth-grade students and teachers at SMP Negeri 7 Padang through questionnaires, interviews, and document analysis, utilizing ethnopedagogy as an analytical tool and cognitive multimedia theories as a reference framework. The findings of this research empirically confirmed a critical demand for interactive visual media rooted in the socio-cultural environment. Based on these needs, the design phase in this research successfully formulated a pedagogically sound blueprint integrating the 5M scientific approach with immersive 3D AR features, wherein local cultural icons are represented as analytical case studies for popular scientific texts. In conclusion, this research establishes a novel pedagogical framework synergizing immersive technology and local wisdom. For future academic endeavors, transitioning from the structural blueprint of this research to empirical technological development is highly recommended to quantitatively evaluate its effectiveness in improving reading literacy.
The contribution of reading comprehension skills and learning motivation to junior high school students’ news writing skills Dina Adila; Afnita Afnita; Syahrul Ramadhan; Amril Amir
BAHASTRA Vol. 46 No. 2 (2026): BAHASTRA
Publisher : Universitas Ahmad Dahlan

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This study aims to describe and measure the extent to which reading comprehension skills and learning motivation contribute to news writing skills. This study employs a quantitative approach with a correlational design. The study population consisted of 136 seventh-grade students at SMP Negeri 30 Batang Hari, Jambi Province. A sample of 82 respondents was selected using proportionate random sampling. The data collection instruments consisted of an objective test to measure reading comprehension, a Likert scale questionnaire for learning motivation, and a performance test to assess news text writing skills. The data were statistically analyzed using the Pearson Product Moment correlation test, partial and multiple linear regression, the t-test, and the F-test. The results of the analysis confirmed the following three points. First, reading comprehension skills significantly contribute to news text writing skills by 56.10%. Second, learning motivation contributes significantly by 40.45%. Third, reading comprehension skills and learning motivation simultaneously contribute 56.25% to news text writing skills. Based on these research results, it is concluded that mastery of text comprehension and the level of learning motivation are key predictors of the quality of students’ news articles. Improving students’ ability to produce functional texts requires schools to integrate analytical reading exercises with the cultivation of a supportive learning environment in the classroom.
Co-Authors Al Khansa Humaira Fadil Amril Amir Dina Adila Farel Olva Zuve Iflah Li’idaini Marzni Mohamed Mokhtar Syahrul Ramadhan