Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 21–30 dari 1146 artikel
The Effect of Digital Literacy and Technology Adaptation on the Performance Effectiveness of Cadres with Digital Competence as an Intervening Variable
Proceeding. of The International Conference on Business and Economics
Vol 4
, No 1
(2026)
Digital transformation in public health services requires cadres to possess adequate digital literacy and technology adaptation skills. This study aims to analyze the influence of digital literacy and technology adaptation on the effectiveness of cadre performance, with digital competence as an intervening variable in Pekalongan Regency. The study population was health cadres in Pekalongan Regency, with a sample of 90 respondents selected using a technique that was part of the total population o...
Sumber Asli
Google Scholar
DOI
A Clustering-Popularity-based Model for Cold-Start Recommendations using User Attributes and Item Ratings
Ifada, Noor
; University of Trunojoyo Madura
; Nikmat, Moh
; Universitas Trunojoyo Madura
; Suristiar, Weni Pratiwi
; Universitas Trunojoyo Madura
; Sophan, Mochammad Kautsar
; Universitas Trunojoyo Madura
Telematika
Vol 19
, No 1
(2026)
Recommendation systems face a major challenge known as the cold-start problem, which occurs when the system lacks sufficient user interaction data. Thus, there is no basis for a recommendation. Existing approaches, such as co-clustering methods and non-personalized popularity models, often struggle to effectively combine heterogeneous user and item data (categorical user attributes and numerical item ratings) or to capture latent group-level preferences. To bridge this gap, we propose a new clus...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
1 Sitasi
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...
Sumber Asli
Google Scholar
DOI