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Digital Storytelling with Scratch as a Pedagogical Tool to Enhance Reading Comprehension
ETERNAL: English Teaching Journal
Vol 17
, No 1
(2026)
Reading comprehension is a foundational skill underpinning students’ success in language learning, critical thinking, and academic achievement. However, many EFL learners experience difficulties engaging with extended and complex texts when reading instruction lacks creative and multimodal elements. This classroom-based study explores undergraduate English Literature students’ perceptions of using Scratch-based digital storytelling in a reading course at the English Literature Department of the...
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A Graph-Augmented Isolation Forest Using Node2Vec and GraphSAGE for Mobile User Behavior Anomaly Detection
Amaka Patience Binitie
; Sunny Innocent Onyemenem
; Nneamaka Christiana Anujeonye
; Arnold Adimabua Ojugo
; Francesca Avwuru Egbokhare
; Tabitha Chukwudi Aghaunor
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
This study presents a Graph-Augmented Isolation Forest (GAIF), an unsupervised anomaly-detection framework for analyzing mobile user behavior. The proposed framework represents users and behavioral attributes as a user–feature bipartite graph, enabling the capture of relational dependencies that are not explicitly modeled in conventional vector-based approaches. Low-dimensional user representations are learned through Node2Vec and Graph Sample and Aggregate (GraphSAGE), and the resulting embeddi...
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APPLICATION OF FINE-TUNED MODELS IN SENTIMENT ANALYSIS OF NEWS: A SYSTEMATIC LITERATURE REVIEW
Habibi, Roni
; Roni Habibi
; Komaran, Raul Mahya
; Universitas Logistik dan Bisnis Internasional
; Watase UAKE Platform
; Universitas Logistik dan Bisnis Internasional, Department of Informatics Engineering
Telematika
Vol 18
, No 2
(2026)
This study aims to examine the application of fine-tuned models in news sentiment analysis through the Systematic Literature Review (SLR) approach. The main focus is directed at three aspects: improving accuracy (RQ1), implementation challenges (RQ2), and computational efficiency (RQ3). The problems identified include high computational requirements, limited annotated data, and difficulties in handling language and dialect diversity. As a solution, various optimization techniques have been explo...
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Pengaruh Program Pemberian Makanan Tambahan Pangan Lokal terhadap Kenaikan Status Gizi Balita di Wilayah Puskesmas Cibaregbeg Periode Juni-Agustus Tahun 2025
Vol 17
, No 01
(2026)
Latar Belakang: Pemberian makanan tambahan berbahan pangan lokal adalah upaya untuk memperbaiki masalah dan meningkatkan status gizi bagi balita bermasalah gizi. Tujuan Penelitian untuk menganalisis pengaruh pemberian makanan tambahan pangan lokal terhadap kenaikan status gizi balita di wilayah Puskesmas Cibaregbeg Kabupaten Cianjur Tahun 2025 periode Juni-Agustus tahun 2025. Metode Penelitian penelitian pre eksperimen desain One Group Pre Post test Design, dengan jenis purvosive sampling. Hasil...
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Indeks Pembangunan Gender Indonesia: Antara Peningkatan Angka dan Kesenjangan Substansial
Public Service And Governance Journal
Vol 7
, No 1
(2026)
The Gender Development Index (GDI) is a key indicator for assessing disparities in human development achievements between women and men. In recent years, Indonesia’s GDI has shown a consistent upward trend, reaching 91.85 in 2024. Nevertheless, this numerical improvement does not fully represent the achievement of substantive gender equality. This article aims to analyze the dynamics of Indonesia’s GDI by positioning it within a comparative Asian context and examining the substantive gaps that p...
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Systematic Review of Supervised Learning Models for Network Flood Detection (NFD): Trends, Performance Evaluation, and Implementation Insights
Habibi, Roni
; Universitas Logistik dan Bisnis Internasional
; Widana, Naufal Dekha
; Universitas Logistik dan Bisnis Internasional
Telematika
Vol 18
, No 2
(2026)
Due to the growing volume, speed, and sophistication of malicious traffic, Network Flood Detection (NFD), especially in the context of Distributed Denial of Service (DDoS) assaults, continues to be a crucial challenge in contemporary network security. Supervised machine learning has been widely used to enhance the precision, scalability, and real-time detection capabilities of NFD systems. However, current research reveals inconsistent results on the optimal supervised learning algorithm, most...
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Implementasi Kebijakan Publik Berbasis Gender Melalui Program Sekolah Ramah Anak
Public Service And Governance Journal
Vol 7
, No 1
(2026)
This study aims to analyze the implementation of gender-based public policy through the Child-Friendly School Program at SDN 01 Bendosari, Plantungan District, Kendal Regency. This research employed a descriptive qualitative approach using in-depth interviews, observation, and documentation as data collection techniques. Data analysis was conducted using the public policy implementation model proposed by George C. Edwards III, which emphasizes four key variables: communication, resources, implem...
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Pelatihan Pemetaan Lahan Pertanian dengan Penginderaan Jauh di Dinas Pertanian Kota Kupang
Ngana, Frederika Rambu
; Tanesib, Jehunias Leonidas
; Warsito, Ali
; Lapono, Laura Anastasi Seseragi
; Ngara, Zakarias Seba
; Pingak, Redi Kristian
Abdi Geomedisains
Vol 6
, No 2
(2026)
The Physics Study Program, Faculty of Science and Engineering, Nusa Cendana University, conducted a Community Service (PkM) activity at the Department of Agriculture in Kupang City on September 24, 2024. The partners in this community service activity were the Department of Agriculture in Kupang City, Nusa Tenggara Timur Province. The partners faced a challenge in manually measuring the area of agricultural land, particularly in remote areas. Therefore, the PkM team provided training in agricult...
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Prediksi Aritmia pada Lansia mengunakan Linear Regression berdasarkan Data Ekg
Dinamik
Vol 31
, No 1
(2026)
This study aims to develop a predictive model using linear regression to identify potential arrhythmias in the elderly based on electrocardiogram (ECG) data. Data were collected through observations at healthcare facilities from elderly patients with indications of arrhythmia, then preprocessed such as cleaning, normalization, feature selection, and outlier checking were carried out. The features used include PR interval, QRS duration, QT interval, and heart rate. The dataset was divided into tr...
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Implementasi Metode Vikor dalam Pengambilan Keputusan Supplier Terbaik pada Parfume Corner
Dinamik
Vol 31
, No 1
(2026)
Selecting the right supplier is a critical aspect of supply chain management, especially in a retail business like Parfume Corner, which relies on product quality, availability, and on-time delivery. This study aims to implement the VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) method as a multi-criteria decision-making approach to determine the best perfume supplier. The VIKOR method was chosen because of its ability to handle conflicts between criteria and produce optimal compro...
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