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Undergraduate Students’ English Self-Efficacy and Technology-Assisted Self-Regulated Learning
ETERNAL: English Teaching Journal
Vol 17
, No 1
(2026)
Greater access to learning sources resulting from the advancement of the Internet and information technology helps students regulate their learning habits and achieve specific learning targets, including English language learning. This study analyzed English self-efficacy and technology-assisted self-regulated learning strategies among undergraduate students and how the two variables correlate. A total of 510 undergraduate students at Sam Ratulangi University, Indonesia, participated in the stud...
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Bridging Languages: How EMI Teachers Use Language-related Teaching Strategies in their Classrooms
ETERNAL: English Teaching Journal
Vol 17
, No 1
(2026)
The rapid expansion of English-medium Instruction (EMI) in higher education worldwide presents opportunities and challenges, particularly in non-English-s contexts. While EMI aims to enhance global competitiveness, academic quality, and intercultural awareness, its implementation often faces language-related barriers affecting both students and instructors. This study investigated the language-related teaching strategies international EMI teachers employed to facilitate content delivery and enha...
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Pre-Service EFL Teachers’ Perceptions of Formative Assessment Literacy in Indonesian
ETERNAL: English Teaching Journal
Vol 17
, No 1
(2026)
The current study investigates the formative assessment literacy of Indonesian pre-service English teachers by adopting a sequential mixed-method approach. The survey data revealed that participants had a moderate level of formative assessment literacy (M = 3.02), with varying scores across three components. The conceptual domain scored the highest (M = 3.12), followed by the socio-emotional domain (M = 2.98) and the practical domain (M = 2.96). The second finding gained from the second part of...
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EFL Teacher’s Perspectives on Integrating AI into Reading Comprehension Teaching in Papua
ETERNAL: English Teaching Journal
Vol 17
, No 1
(2026)
This study explores EFL teachers’ perspectives on integrating Artificial Intelligence (AI) technologies into reading comprehension instruction in Papua, Indonesia. This study employed a quantitative descriptive survey, conducted with 17 teachers from elementary, junior high, and senior high schools. Data were collected through an online questionnaire and analyzed using descriptive statistics. Findings showed that teachers were generally familiar with AI and express confidence in its use, particu...
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Analisis Etika Bisnis dan Tanggung Jawab Sosial Perusahaan dalam Menghadapi Tantangan Internal
Eka Safutri
; Marzuti Isra
; Suhendri Suhendri
; Purjianto Purjianto
; Muhammad Ghufran
; Okto Romario Tarigan
; Riski Andreansyah Nasution
; Dimas Setiawan Damanik
Profit: Jurnal Manajemen, Bisnis dan Akuntansi
Vol 5
, No 1
(2026)
Business ethics and Corporate Social Responsibility (CSR) are crucial in addressing internal challenges faced by companies, such as organizational culture resistance, human resource (HR) limitations, and the gap between company values and daily practices. This study aims to analyze strategies to overcome these issues using a qualitative-descriptive approach through an in-depth literature review. The findings show that clear and consistent leadership communication, the implementation of a reward...
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Development of STEM-Based Interactive Learning Media for Critical Thinking Skills in Renewable Energy: Solar Power Plants
Lontar Physics Today
Vol 5
, No 1
(2026)
This study aims to develop an interactive STEM-based learning media on renewable energy-Solar Power Plant, to train high school students' critical thinking skills. The development of learning media in this study is development research that focuses on the stages of media design, media development, expert validation, and implementation through limited trials. Data collection was conducted through questionnaires. The validity of the learning media was assessed by experts at the development stage a...
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Keanekaragaman arthropoda dan perannya pada agroekosistem padi sawah tadah hujan: Keanekaragaman arthropoda dan perannya pada agroekosistem padi sawah tadah hujan
Perwira Journal of Science & Engineering (PJSE)
Vol 6
, No 1
(2026)
Agroekosistem sawah tadah hujan memberikan pengaruh terhadap keanekaragaman dan dinamika populasi arthropoda. Metode dengan memasang perangkap (sweep net dan yellow trap) yang dilakukan pada fase vegetatif, reproduktif, dan pematangan tanaman padi dengan interval satu minggu sekali pada 3 petak yang berbeda yang dilakukan pada . 25 Januari 2025 – 19 April 2025 di Kelurahan Palapa, Kota Bandar Lampung. Keanekaragaman arthropoda pada agroekosistem padi sawah tadah hujan dengan perangkap sweep net...
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ANALYSIS OF THE ROLE OF CHARACTERISTIC INFLUENCERS ON PURCHASE INTENTION MEDIATED BY CONSUMER WELL-BEING
Stability: Journal of Management and Business
Vol 8
, No 2
(2026)
The rapid growth of social media users in Indonesia has made influencer marketing a dominant digital strategy, yet the psychological mechanisms through which influencer attributes affect consumer purchase decisions remain underexplored. This study investigates how influencer physical attractiveness, trustworthiness, and expertise influence purchase intention, with consumer well-being as a mediating variable. A quantitative approach was employed using purposive sampling of 161 Indonesian social m...
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ANALISIS AKURASI METODE FUZZY TSUKAMOTO PADA SISTEM REKOMENDASI PEMILIHAN KAMERA
Jurnal Ilmiah Sinus
Vol 24
, No 1
(2026)
Photography is one of the fields of visual communication that has many enthusiasts in Indonesia. The development of cameras has undergone many changes over time, making a variety of camera options and components available, which creates confusion for consumers who are buying the camera that best suits their needs. Tsukamoto’s fuzzy method is a component of soft computing. In the Tsukamoto method, each consequence of an IF-THEN rule must be represented by a fuzzy set with a monotonous membership...
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Perkembangan dan Efektivitas Early Warning System Berbasis Artificial Intelligence dalam Prediksi Financial Distress Perusahaan: Systematic Literature Review
DHARMA EKONOMI
Vol 33
, No 1
(2026)
Financial distress is a condition of declining financial health of a company that can develop gradually and lead to business failure if not detected early. With the increasing complexity of the business environment and the limitations of conventional statistical methods, Artificial Intelligence/AI is increasingly being adopted in the development of early warning systems (EWS) to predict financial distress. This study aims to examine the development of AI-based EWS research, identify the most wid...
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