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 1–10 dari 92 artikel
Development of Canva-Based Mathematics Learning Media to Improve Conceptual Understanding of the System of Linear Equations in Two Variables for Grade VIII Students
Journal of Emerging Technology in Teaching and Learning
Vol 2
, No 1
(2026)
This study aims to develop Canva-based learning media that are valid, practical, and effective in improving students’ conceptual understanding of the System of Linear Equations in Two Variables (SLETV) among eighth-grade students at SMP Negeri 1 Padang Bolak Julu. The research employed a Research and Development (R&D) method using the ADDIE model, which includes the stages of Analysis, Design, Development, Implementation, and Evaluation. The research instruments consisted of questionnaires a...
Sumber Asli
Google Scholar
DOI
Investigating Security Enhancement in Hybrid Clouds via a Blockchain-Fused Privacy Preservation Strategy: Pilot Study
Tabitha Chukwudi Aghaunor
; Eferhire Valentine Ugbotu
; Emeke Ugboh
; Paul Avwerosuoghene Onoma
; Frances Uchechukwu Emordi
; Arnold Adimabua Ojugo
; Victor Ochuko Geteloma
; Rebecca Okeoghene Idama
; Peace Oguguo Ezzeh
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
The proliferation of cloud infrastructures has intensified concerns regarding data security, integrity, identity and access management, and user privacy. Despite recent advances, existing solutions often lack comprehensive integration of privacy-preserving mechanisms, dynamic trust management, and cross-provider interoperability. This study proposes an AI-enabled, zero-trust, blockchain-fused identity management framework for secure, privacy-preserving multi-cloud environments. The framework int...
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
Implementation of Machine Learning for Credit Card Fraud Detection using Logistic Regression and Gradient Boosting
Dinamik
Vol 31
, No 1
(2026)
Credit card fraud is a critical issue in digital financial transactions. This study aims to develop and evaluate fraud detection models using Logistic Regression and Gradient Boosting on an imbalanced dataset, where fraudulent transactions constitute only a small portion of the data. To address this imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied during preprocessing. Logistic Regression, used as a baseline model, achieved 95% accuracy, 78.6% precision, 55.9% recall...
Sumber Asli
Google Scholar
DOI
Perilaku Manajemen Risiko Dalam Penggunaan Layanan Pinjaman Online
KOMPAK : Jurnal Ilmiah Komputerisasi Akuntansi
Vol 18
, No 2
(2025)
Fenomena meningkatnya penggunaan layanan pinjaman online di kalangan mahasiswa menimbulkan kekhawatiran terhadap potensi risiko finansial yang dapat mengganggu kesejahteraan dan performa akademik mereka. Penelitian ini bertujuan untuk mengeksplorasi dan menganalisis perilaku manajemen risiko mahasiswa STIEPARI Semarang dalam penggunaan layanan pinjaman online, mengidentifikasi faktor-faktor yang memengaruhi pembentukan perilaku tersebut, serta memahami implikasinya terhadap kesejahteraan finansi...
Sumber Asli
Google Scholar
DOI
Reconstruction Strategies for Mental Health Services in Post-Conflict Middle Eastern Regions: (A Policy Synthesis)
Helsa Nasution
; M. Agung Rahmadi
; Nazwa Aqela Saragih
; Isnaini Fajarwati
; Riska Wahyuni Hasibuan
; Luthfiah Mawar
; Nurzahara Sihombing
; Annisa Ardianti Br Tarigan
Jurnal Ventilator: Jurnal riset ilmu kesehatan dan Keperawatan
Vol 3
, No 4
(2025)
This study presents a comprehensive analysis of reconstruction strategies for mental health services in post-conflict regions of the Middle East, based on a meta-synthesis of 87 policies and intervention programs issued between 2010 and 2023. The findings indicate that 73.4 percent of initiatives did not meet their intended targets due to infrastructural limitations, resulting in a service dropout rate of 62.8 percent. The implementation of the Stepped Care Model shows a 47.2 percent improvement...
Sumber Asli
Google Scholar
DOI
The Role of Community-Based Rehabilitation in the Mental Recovery of Populations in Middle Eastern Conflict Zones: An Outcome Analysis
Luthfiah Mawar
; M. Agung Rahmadi
; Rasil Hakim Hasibuan
; Zahra Aliyah Verisah
; Dwi Keisya Kurnia
; Helsa Nasution
; Nurzahara Sihombing
; Andieni Pratiwi
Jurnal Ventilator: Jurnal riset ilmu kesehatan dan Keperawatan
Vol 3
, No 4
(2025)
This meta-analysis evaluates the effectiveness of Community-Based Rehabilitation (CBR) programs in promoting mental health recovery in communities affected by long-term conflict in the Middle East. Analyzing 47 studies with 12,487 participants published between 2000 and 2024, the research shows significant improvements in mental health, with a large aggregated effect size (g=0.83, 95% CI [0.76, 0.90]). Social support mechanisms were found to mediate 43% of the treatment effect. This study also h...
Sumber Asli
Google Scholar
DOI
Penggunaan Metode Drill dalam Mengembangkan Kemandirian Anak Usia 5-6 Tahun di PAUD Dermawan Desa Hasahatan Julu Kab. Padang Lawas
Inspirasi Dunia: Jurnal Riset Pendidikan dan Bahasa
Vol 4
, No 4
(2025)
This study aims to determine and describe the use of the drill method in developing the independence of children aged 5-6 years in PAUD Dermawan, Hasahatan Julu Village. In obtaining data in the study, the author applies qualitative research through data obtained through observation, interviews, and documentation. The data analysis used is data reduction, data presentation, and drawing conclusions. The results of the study show that: 1.) the independence of children in PAUD Dermawan has generall...
Sumber Asli
Google Scholar
DOI
PENGGUNAAN JASA PERBANKAN SYARIAH SEBAGAI UPAYA MENINGKATKAN SHARIAH FINANCIAL INCLUSION (STUDI PADA MAHASISWA UNIVERSITAS MUHAMMADIYAH MAKASSAR): Studi Pada Mahasiswa Universitas Muhammadiyah Makassar
EBISNIS : JURNAL ILMIAH EKONOMI DAN BISNIS
Vol 18
, No 2
(2025)
This study aims to describe how the use of Islamic banking services contributes to enhancing shariah financial inclusion among students of Universitas Muhammadiyah Makassar. The research employed a qualitative descriptive approach involving eight student informants from various faculties selected through purposive sampling. Data were collected through in-depth interviews, non-participant observations, and documentation during May-July 2025. Data analysis followed the stages of reduction, present...
Sumber Asli
Google Scholar
DOI
Sistem Peramalan Jumlah Mahasiswa Menggunakan Metode Time Series ARIMA dan Regresi Linear
Hasibuan, Muhammad Alby Savana
; Indra, Zulfahmi
; Lubis, Fauzan Azima
; Farezi, Nazwar
; Hasibuan, Muhammad Alby Savana
; Indra, Zulfahmi
; Lubis, Fauzan Azima
; Farezi, Nazwar
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 3
(2025)
Penelitian ini bertujuan untuk membuat sistem yang bisa memprediksi jumlah mahasiswa menggunakan pendekatan machine learning dengan Python dan antarmuka Streamlit sebagai alat interaktif. Masalah utama yang dibahas adalah kebutuhan lembaga pendidikan tinggi dalam meramalkan jumlah mahasiswa di masa depan agar bisa membantu dalam merencanakan kapasitas dan mengalokasikan sumber daya secara tepat. Solusi yang ditawarkan adalah dengan menggabungkan dua metode prediksi, yaitu Regresi Linear dan ARIM...
Sumber Asli
Google Scholar
DOI
1 Sitasi