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All Journal Lentera: Jurnal Ilmiah Kependidikan Ksatra: Jurnal Kajian Bahasa dan Sastra
Abdulloh Abdulloh
Bahasa Indonesia
Arts Humanities Education Languange, Linguistic, Communication & Media

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Kajian Stilistika pada Lagu-lagu Band Ungu Abdulloh Abdulloh; Fransisca S.O. Dedi; Ina Lusiana
Ksatra: Jurnal Kajian Bahasa dan Sastra Vol. 5 No. 1 (2023): Ksatra
Publisher : LPPM STKIP PGRI Bandar Lampung

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Abstract

This study aims to analyze the stylistic form of the lyrics of song describing Ungu with purple song entitled Ungu Melayang, Berikan Aku Cinta, Tercipta Untukku, and Kekasih Gelapku. The method use in this study is descritive of this kualitatif. This study clearly describe or illustrate the style of language and detail about the collection of songs Ungu. Sources of in this study is a song titled Ungu Melayang, Berikan Aku Cinta, Tercipta Untukku, and Kekasih Gelapku. The results of this study concluded that the song is not only dominated by Ungu style personification, hyperbole, and assonance but also redundancy, climax, inversion, and a pars pro toto sinekdoke. Writing songs more Ungu band using style as party of the expression of feelings and pored in poetry writing. The uniqueness of the lyrycs the songs that is Ungu in addition to using a lot of style, the lyrics are melancholy was also if sung by a singer.
Pemanfaatan Artificial Intelligence (AI) sebagai Asisten Literasi Akademik dalam Pembelajaran Bahasa Indonesia di Perguruan Tinggi Abdulloh Abdulloh; Sudarmaji Sudarmaji; Salamah Salamah
Lentera: Jurnal Ilmiah Kependidikan Vol. 18 No. 2 (2025): Lentera
Publisher : STKIP PGRI Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52217/1d12gd62

Abstract

The development of digital technology has influenced learning practices in higher education, including Indonesian language instruction. One emerging innovation is the use of Artificial Intelligence (AI) as an academic literacy assistant. This study aims to describe the use of AI in Indonesian language learning at the university level and examine its role in supporting students’ academic literacy. This research uses a descriptive qualitative approach involving students and Indonesian language lecturers. Data were collected through interviews, questionnaires, classroom observations, and analysis of students’ academic writing. The results show that AI helps students organize writing structures, improve linguistic accuracy, and increase confidence and learning autonomy. The integration of AI also enhances students’ interest and engagement in academic literacy activities. However, lecturer guidance and reinforcement of academic ethics are essential to prevent overreliance on AI. These findings indicate that AI can function effectively as an academic literacy assistant when integrated pedagogically and responsibly in higher education.
Analisis Kesiapan Mahasiswa Program Pendidikan Profesi Guru (PPG) Bahasa Indonesia dalam Menerapkan Pembelajaran Mendalam (Deep Learning) di Sekolah Abdulloh Abdulloh; Sudarmaji; Rohana
Lentera: Jurnal Ilmiah Kependidikan Vol. 19 No. 1 (2026): Lentera
Publisher : STKIP PGRI Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52217/tavj8m19

Abstract

Deep learning is a pedagogical approach that emphasizes the holistic cognitive, emotional, and social engagement of learners so that the understanding formed is meaningful and sustainable, in line with the direction of national curriculum policy that encourages learning oriented towards deep conceptual understanding rather than mere surface-level content mastery. This study aims to analyze the readiness level of Indonesian Language Teacher Professional Education (PPG) students in implementing deep learning in schools, covering conceptual knowledge, pedagogical readiness, and psychological readiness. The study employed a descriptive quantitative approach with a survey design involving PPG Indonesian Language students. Data were collected through a validated and reliable Likert-scale questionnaire, supported by semi-structured interviews. The results indicate that students' overall readiness level falls into the moderately ready category, with conceptual knowledge showing the highest achievement and differentiated learning practice readiness showing relatively lower achievement. Factors influencing readiness include teaching experience, training intensity, and support from supervising lecturers and partner schools. This study recommends strengthening field practice programs and continuous case-study-based training to improve PPG students' readiness in effectively implementing deep learning in the classroom.
Co-Authors Fransisca S.O. Dedi Ina Lusiana Rohana salamah salamah Sudarmaji Sudarmaji Sudarmaji