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Digital Natives and the Call for Innovation in Arabic Language Education Nashichuddin, Achmad; Taufiqurrochman, R.; Salam, Nur
Kitaba Vol 3, No 3 (2025): KITABA
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/kitaba.v3i3.36997

Abstract

Abstract: Today’s graduate students in Arabic language education are unmistakably digital natives—predominantly young women (70.6%) aged 21–25, graduates of Islamic higher education institutions across Indonesia, and deeply embedded in digital culture. This study explores their research interests, academic expectations, and aspirations through a structured survey of 51 newly enrolled master’s students at Maulana Malik Ibrahim State Islamic University (UIN Malang). Findings reveal a decisive shift in scholarly orientation: 37.3% identified “technology and media in Arabic language education” as their primary research interest, far surpassing traditional domains like linguistics or literature. Their call for innovation is not merely technological but pedagogical—they seek curricula that integrate digital tools, emphasize practical application, and align with 21st-century competencies. Simultaneously, a significant academic preparedness gap emerges: 72.5% requested intensive training in scholarly writing, and 64.7% demanded access to international journals, signalling a need for methodological scaffolding. Global aspirations are equally strong, with multiple students explicitly advocating for student exchange programs to Saudi Arabia, Malaysia, and Madinah. Thematic analysis of open-ended responses yielded five strategic priorities: (1) strengthening academic capacity, (2) advancing internationalization, (3) ensuring curriculum relevance in the digital era, (4) improving internal management, and (5) nurturing an Islamic scholarly vision that fuses linguistic mastery with civilizational mission. This study argues that the voices of digital-native students are not peripheral feedback but central diagnostic data for transforming Arabic language education into a dynamic, responsive, and globally engaged discipline in the Global South.
Analisis Regresi Panel terhadap Faktor-Faktor yang Mempengaruhi Tingkat Kemiskinan di Kalimantan Selatan Tahun 2018-2022 Irawan, Ade; Wati, Herlina; Salam, Nur; Asianingrum, Al Hujjah
RAGAM: Journal of Statistics & Its Application Vol 4, No 2 (2025): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v4i2.15871

Abstract

This study aims to analyze the effects of population growth rate, Human Development Index (HDI), and per capita expenditure on poverty levels in 13 regencies/cities of South Kalimantan Province during the period 2018–2022. The study uses secondary data obtained from the Central Bureau of Statistics and applies panel data regression using the Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Model selection was conducted using the Chow test, Breusch–Pagan Lagrange Multiplier test, and Hausman test, as well as considering variable significance and model explanatory power. The results indicate that the Fixed Effect Model with time effects (FEM-time) is the most appropriate model. Initial estimation results show that population growth rate and per capita expenditure have significant negative effects on poverty, while HDI has a significant positive effect. However, after applying robust standard errors to address autocorrelation and heteroskedasticity, only per capita expenditure remains statistically significant. These findings suggest that improvements in household purchasing power play a central role in reducing poverty in South Kalimantan, while the impacts of demographic and human development factors tend to vary over time. This study is expected to provide empirical evidence to support more adaptive and region-specific poverty alleviation policies.
How artificial intelligence shapes trust and visit decisions on digital tourism platforms in Indonesia Aris, Valentino; Salam, Nur; Sobirov, Bobur; Rahmatullah, Rahmatullah; Syam, Agus; Bakri, Rizal
Manajemen dan Bisnis Vol 25, No 1 (2026): March 2026
Publisher : Department of Management - Faculty of Business and Economics. Universitas Surabaya.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/mabis.v25i1.1059

Abstract

This study examines how personalization and interactivity on Indonesia’s digital tourism platforms shape consumer trust and visit decisions. Personalization captures how well a platform tailors content such as destination options, itineraries, and deals to a user preferences, budget, and travel context. Interactivity reflects how responsive and engaging the platform is when users search, compare, ask questions, and adjust plans. Using a cross-sectional survey of 415 users who had used platform features within the past six months. The data were analyzed with PLS-SEM in SmartPLS 4. The results show that both personalization and interactivity positively and significantly increase consumer trust, with personalization emerging as the strongest driver. For visit decisions, personalization and interactivity also have significant positive effects. However, consumer trust does not significantly predict visiting decisions and therefore does not mediate the effects of platform features on visit decision. This suggests a trust–behavior gap where users may feel confident in a platform, yet their final choice is still driven mainly by practical planning value. Tourism platforms should prioritize relevant, context-aware recommendations and responsive planning assistance, while reinforcing decision cues such as clear cost and time estimates and credible social proof to better convert interest into visit decision.