Purwoko Ajie
Sebelas Maret University Surakarta

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Javanese Language Representation: A Dialogue and Expression ala Kethoprak in the Film Nyumbang Purwoko Ajie; Sri Kusumo Habsari; Deny Tri Ardianto; Kundharu Saddhono
Lingua Cultura Vol. 17 No. 1 (2023): Lingua Cultura
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/lc.v17i1.9586

Abstract

The research aimed to examine the usage of the Javanese language to represent the discourse of nyumbang (donation) in the film Nyumbang produced by Montase Film Independen Yogyakarta. It focused on analyzing the discourse semantics of the Javanese dialogues, which took the style expression ala Kethoprak. The primary data are the Javanese dialogues in the film Nyumbang. At the same time, the supporting data were taken from journals, books, newspapers, websites, and supporting media (audiovisuals, interview results, and other documentation). Data analysis techniques included reduction, presentation, and verification of conclusions related to the research object. The results indicate the utilization of a strong Javanese accent, mostly found in Kethoprak's performance, to represent the problematic discourse of nyumbang. The actors who are the members of the Sanggar Kethoprak Merbabu Budaya, Magelang, speaking in Javanese with the Mataram accent, highlight the problematization of the ideology behind the discourse of nyumbang. The Mataram accent, which is the language style of Kethoprak, added with the helpless facial expressions of the actors, provides the interpretation of the raising question of the nyumbang tradition, which has been embedded in Javanese culture. Through some word choices that are exaggerated to produce a sense of helplessness, the tradition of nyumbang, formerly developed to help each other, becomes a social burden. Thus, the research finds that the film Nyumbang provides an effort to maintain the Kethoprak tradition without abandoning the characteristics of its traditional performances, which contain criticisms of tradition in modern life.
AI Ethics in Indonesian Higher Education: A Systematic Review of Algorithmic Bias, Privacy, and Accountability Yomi Agung Susanto; Eko Hariadi; Lilik Anifah; Ratna Suhartini; Purwoko Ajie
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 12 No 1 (2026): January (In Progress)
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v12i1.6353

Abstract

Artificial Intelligence (AI) is increasingly integrated into higher education to enhance personalised learning, automate assessment, and improve institutional efficiency. However, its rapid adoption also raises ethical concerns related to algorithmic bias, data privacy, and accountability, particularly in Indonesia, where regulatory frameworks and digital infrastructure remain underdeveloped. Despite growing global discussions on AI ethics, limited studies have systematically examined these challenges within Indonesian higher education. This study analyses the ethical implications of AI integration by focusing on algorithmic fairness, data privacy, and governance accountability. Employing a narrative review approach supported by the PRISMA 2020 framework, this study systematically reviews 56 studies retrieved from the Scopus database between 2021 and 2025. Article screening was conducted using Covidence, while VOSviewer was utilised to identify research trends and thematic gaps. The findings reveal three major ethical concerns: (1) algorithmic bias in AI-driven assessment and admissions systems; (2) risks to data privacy and student surveillance associated with learning analytics; and (3) limited transparency and accountability in AI-based decision-making. The study further identifies significant gaps in Indonesia’s policy readiness and institutional governance. As its contribution, this study proposes a culturally grounded approach to AI governance and recommends the development of a National AI in Education Ethics Charter to support responsible and equitable AI integration in higher education.