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Digital Authentic Media Exposure and Listening Development in Arabic as a Foreign Language: A Corpus-Informed Approach Rosyad, Muh. Sabilar; Nuruddin, Ahmad; Makinuddin, Mohammad; Rozaq, Muhammad Abdur; Hafidz, Muhammad
Borneo Journal of Language and Education Vol 6 No 2 (2026): Borneo Journal of Language and Education, Vol.6 (No.2), Agustus 2026
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan, Universitas Islam Negeru Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/benjole.v6i2.12811

Abstract

The integration of authentic materials in language education has increasingly emphasized the importance of exposing learners to natural language input that reflects real-world communication. However, the pedagogical use of digital authentic media in Arabic as a foreign language (AFL) listening instruction remains limited, and corpus-informed approaches to analyzing such materials are still underexplored. This study investigates the impact of digital authentic media exposure on AFL learners’ listening development while examining the linguistic characteristics of Arabic digital media through corpus analysis. A mixed-method design was employed involving 30 intermediate-level learners at UIN Sunan Kalijaga Yogyakarta. The study combined corpus-informed analysis of Arabic news broadcasts and podcasts with a quasi-experimental classroom intervention using pre-test and post-test listening assessments. The results revealed that authentic Arabic media contain high lexical density and recurrent discourse markers, providing linguistically rich listening input. Learners exposed to digital authentic media demonstrated significantly greater improvement in listening comprehension and vocabulary recognition than those using textbook-based materials. The findings highlight the pedagogical potential of corpus-informed authentic media for enhancing listening development in Arabic language learning.
Integration of Regression Analysis and Spatial Interpolation in Multi-Sensor Soil Calibration Optimization Based on RS485 to Support Precision Agriculture Priyonggo, Budi; Hafidz, Muhammad; Azadi, Athoillah; Wirawan, Adi; Nucholis, Jati; Muharfiza, Muharfiza; Jahari, Mahirah
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 14 No. 1 (2026): April 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2026.014.01.13

Abstract

Technological developments provide significant opportunities to utilise measurement equipment to enhance the effectiveness and efficiency of agricultural production. Accurate soil content measurement is very important for evaluating soil quality, helping farmers understand soil conditions and take appropriate steps to improve or maintain it. Calibration is required to ensure that the measuring instruments used provide accurate readings. The objective of this research was to calibrate the soil comprehensive sensor type RS485. The parameters tested are WET sensor, pH sensor, and temperature sensor. Data analysis was conducted using spatial interpolation, linear regression, and multiple linear regression. The calibration results obtained the calibration function  (R2 0.9566) for the WET sensor, (R2 0.9845) for the pH sensor, and  (R2 0.9963) for T sensor. The results of the spatial interpolation analysis using the calibration function indicate an improvement in the accuracy between the tested sensor and the calibrator compared to before calibration. The improvement in the accuracy of the parameter values was obtained by performing multiple linear regression analysis involving all sensors. The equations WETe4, pHe4, and Te4 were chosen as the best estimated equations that can improve the accuracy of sensor readings. The results of spatial interpolation analysis of the functions WETe4, pHe4, and Te4 showed a better improvement in accuracy compared to the calibration function. The equations WETe4, pHe4, and Te4 can be used as alternative functions to approximate the correct values in the use of soil comprehensive sensor type RS485. The spatial interpolation analysis conducted can provide an illustration of values based on color distribution to understand of the distribution of those values.
Co-Authors . Zulfan Ade, Ahmad Adi Wirawan Adityo Raynaldo Agus Efendi Ahmad Nuruddin, Ahmad Akbar, Afif Al Anshori, Ahmad Zakariya Al-Fikri, Shihab Hidayat Alfikri, Shihab Hidayat Ali Sandy Mulya, Ali Sandy Annisa, Maryam Nur Arfah, Muh. Arosid, Ruslan Arrya Anandika Asfihani, Muhammad Lutfi Atfaliyah, Khodikotul AULIYA RAHMAH, AULIYA Bayu, Hikkal Ahmad Budi Priyonggo Dedi Mulyanto Delamontano, Eldo Deri Ciciria Dodi, Dodi Eriyandha, Alivia Etha Marista Fahlevi, Ihsam Fahrudin, Danil Eka Fauzan, Muhammad Ali Firjatullah, Zahra Fitri, Wanda Julianti Fuadi, Abdul Hafizh Nur Halim, Sadri Hendi Santoso Heri Azwansyah Hermanto, Ayub Ibnu Phonna Nurdin, Ibnu Phonna Istifaiyyah, Salma Jahari, Mahirah Jarwinda JAYANI, FARADILA MEI Juliono, Fransiskus Kamilah, Fanni Rahmah Kelana, Intan Khoryfatul Munawaroh Lastari, Intan Erda Lestari, Fikanti Putri Marluwi, Marluwi MASRIYAH Misroh Sulaswari, Misroh Mohammad Makinuddin Molieh, Candra Irawan Peto Muflihah, Asriani Muh. Sabilar Rosyad Muhammad Rifki Muharfiza, Muharfiza MUNAWAROH, HIFDHOTUL Muqimah Liwais Sunnah Muzammil, Sa'dulloh Ni’matussa’adah Nucholis, Jati Nur Asmar Salikunna Nur Hadi Nurazijah, Ajeng Nuriyah, Shinta Nurul Izzah Paldi, Rizky Tri Rachman, Annisa Ramadanu, Anjas Putra Asnur Ramadhan, Naufal Ramadhani, Hendri Ridwan Rifki Suwandi, Rifki Rizq, Razan Rizqan Khairan Munandar Roviin, Roviin Rozaq, Muhammad Abdur Saputra, Yodhi Anugrah Damar Septinus, Erik Siti Mayuni Soviana Ulfa, Pira Sugiman, Zam Afuw Imama Tri Setyawati Tubagus Ali Rachman Puja Kesuma, Tubagus Ali Rachman Puja Yaqin, Muhammad Nurul Yoga Sahria Yulianasari, Nila Yumna Fatin Inayah Yusuf Al Manaanu Zanah, Anisah Miftahul Zibar, Zan Zulfikar , Imam