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Languages on Display: Multilingual Signage at Pererenan Beach Yunanfathur Rahman; Ketut Artawa; Audrey Gabriella Titaley; Ajeng Dianing Kartika; Hasbulloh Nadaraning
International Journal of Pedagogical Language, Literature, and Cultural Studies (i-Plural) Vol. 2 No. 1 (2025): International Journal of Pedagogical Language, Literature, and Cultural Studies
Publisher : Nexus Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63011/ip.v2i1.29

Abstract

This study describes the language phenomenon that occurs at Pererenan Beach, Badung Regency, Bali. A variety of outdoor signage were found at this beach, such as banners, information boards, signboards, etc. Data was obtained through observation and photographic documentation. The data were then analyzed qualitatively. In these public signs there are interesting language phenomenon, namely the phenomenon we know as multilingualism. Multilingualism that appears in the form of code mixing, bilingualism, and interference. A comparison of data collected from two years shows that outdoor signs at Pererenan Beach need to be made better in the context of aggregate. Aggregate signs at Pererenan Beach are still dominated by non-permanent aggregate signs. A better long-lasting aggregate signs could be made of stone or ceramic components. Although these code mixing, bilingualism, and interference do not lead to misunderstandings in interpreting the information contained in the outdoor signs, but it is still an interesting phenomenon to be discussed.
Socioeconomic Development Strategy for Remote Pulau Maringkik Village, East Lombok Regency: A SWOT Analysis Tati Atmayanti; Muhammad Malthuf; Hasbulloh Nadaraning; Baiq Dewi Lita Andiana
Jurnal Economia Vol. 22 No. 2 (2026): June 2026
Publisher : Faculty of Economics and Business, Universitas Negeri Yogyakarta in collaboration with the Institute for

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/economia.v22i2.94675

Abstract

This study aims to examine financial distress studies based on Scopus and SINTA databases. Based on the PRISMA method, 87 articles were determined. Trends in studies increased every period, except in 2018. A total of 20 financial variables and 22 non-financial variables were identified. The non-financial sector was the most sampled in the studies. The Z-Score model is the best model for predicting financial distress while the most popular theory is agency theory. The most-cited articles entitled The Effects of Ownership Structure on Likelihood of Financial Distress: An Empirical Evidence and The Effect of Leverage, Sales Growth, Cash Flow on Financial Distress with Corporate Governance as a Moderating Variable. Global studies are dominated by non-financial variables with nine author clusters, whereas Indonesian studies are dominated by financial variables with six author clusters. This study identifies research gaps in financial distress literature and informs early warning systems for stakeholders.