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Performance Analysis of Ensemble Learning Models in Heart Failure Prediction: Random Forest, AdaBoost, and XGBoost
Beny, Beny
; Dinamika Bangsa University
; Yani, Herti
; Satya Wacana Christian University
; Yupu, Gangga Ramadhan Putra
; Dinamika Bangsa University
Telematika
Vol 19
, No 1
(2026)
Heart failure remains a major global health challenge, and early prediction is essential for improving patient outcomes. This study evaluates three ensemble learning methods, namely Random Forest, AdaBoost, and XGBoost, using the Heart Failure Prediction dataset containing 918 patient records from Kaggle. A quantitative experimental design was applied, including preprocessing with KNN imputation, model development, and evaluation using 10-Fold Cross Validation. Performance was assessed through a...
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Discourse Analysis of Students’ Writing: The Interplay Between Critical Thinking and Academic Vocabulary Use in Two Indonesian EFL Universities
ETERNAL: English Teaching Journal
Vol 17
, No 1
(2026)
This study examines how critical thinking and academic vocabulary (breadth and depth) influence the discourse features of undergraduate essays at Universitas PGRI Semarang and Universitas PGRI Madiun. Using a comparative qualitative design with quantitative indicators, the research analyzed student texts, vocabulary assessments, and interviews to evaluate coherence, cohesion, and argumentative clarity. Findings indicate that higher critical engagement correlates with more stable rhetorical seque...
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PENGARUH EDUKASI MP-ASI BERBASIS VIDEO TERHADAP PENGETAHUAN IBU BAYI USIA 6–24 BULAN
Jurnal Ilmiah Kesehatan Ar-Rum
Vol 10
, No 2
(2026)
Pemberian Makanan Pendamping ASI (MP-ASI) yang tidak tepat masih menjadi salah satu faktor penyebab terjadinya gizi kurang dan stunting pada bayi dan balita. Rendahnya pengetahuan ibu mengenai waktu, jenis, tekstur, dan kandungan gizi MP-ASI berkontribusi terhadap praktik pemberian MP-ASI yang tidak sesuai dengan rekomendasi. Salah satu upaya untuk meningkatkan pengetahuan ibu adalah melalui edukasi kesehatan menggunakan media video yang menggabungkan unsur audio dan visual sehingga lebih mudah...
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Integrated Transportation Model to Improve the Efficiency of Urban Public Transportation Management (Case Study: BRT Trans Jatim Porong–Sidoarjo–Surabaya)
Media Komunikasi Dunia Ilmu Sipil
Vol 7
, No 2
(2026)
This study aims to design an integrated transportation model to improve the efficiency of urban public transportation governance, with a case study on the Bus Rapid Transit (BRT) Trans Jatim corridor Porong–Sidoarjo–Surabaya. The study uses a quantitative approach with a simple linear regression method. Data were collected through questionnaires distributed to BRT users and analyzed using SPSS software. The analysis showed that mode integration has a significant influence on the efficiency of pu...
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PENINGKATAN LITERASI AI DAN EFISIENSI ADMINISTRASI GURU MELALUI MODEL POWERPROMPT GURU DI SMAN 1 SUSUKAN
Saefurrohman, Saefurrohman
; Soelistijadi, R
; Santosa, Dwi Budi
; Noor S, Rina Candra
; Sutanto, Felix Andreas
Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Vol 6
, No 1
(2026)
This community service program aims to improve teachers’ skills in utilizing artificial intelligence through prompt engineering at SMAN 1 Susukan, Semarang Regency. The activity was motivated by the high administrative workload and the inconsistent quality of teaching materials in implementing the Merdeka Curriculum. The Powerprompt Guru training emphasized hands-on practice in designing effective prompts using ChatGPT, enabling teachers to produce learning artifacts and school documents more qu...
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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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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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