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 951 artikel
Dynamic Chaotic–Adversarial Framework for High-Capacity and Imperceptible Image Steganography
Sari, Wellia Shinta
; Sari, Christy Atika
; Setiyani, Safira Hasna
; Triyono, Agus
; Ali, Rabei Raad
The rapid growth of digital communication has intensified concerns regarding data confidentiality as sensitive information transmitted through multimedia images is increasingly vulnerable to interception and unauthorized analysis. Conventional image steganography methods often struggle to simultaneously achieve high embedding capacity, strong imperceptibility, and resistance to modern steganalysis. To address this challenge, this study proposes a steganographic framework that integrates dynamic...
Google Scholar
DOI
A Sustainable Computational Framework for Breast Cancer Screening: Optimizing High-Dimensional Feature Spaces via MVP-PCA for Resource-Constrained Environments
The rapid integration of Electronic Health Records (EHR) demands the efficient processing of high-resolution medical images. However, deep learning architectures applied to mammography classification often produce massive, high-dimensional feature spaces susceptible to the curse of dimensionality and anatomical noise. Furthermore, conventional dimensionality reduction approaches tend to cause over-reduction, which destroys crucial microcalcification textures. To address these challenges, this st...
Google Scholar
DOI
Model Pendampingan Rebranding UMKM Berbasis Partisipatif dalam Penguatan Citra dan Daya Saing Produk Lokal di Desa Somosari, Kabupaten Jepara
Mahfudlah Fajrie
; Fajrie, Mahfudlah
; Putri Aprilia, Ika
; Fathiya Izzatullah, Hani
; Hisyam Maulana, Muhammad
; Afandi Setiadi, Muhammad
Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran strategis dalam mendorong pertumbuhan ekonomi desa, namun masih menghadapi berbagai kendala dalam aspek branding dan pemasaran produk. UMKM “2 Saudara” di Desa Somosari, Kabupaten Jepara, merupakan salah satu pelaku usaha makanan ringan yang mengalami keterbatasan pada identitas visual, desain kemasan, dan strategi promosi sehingga berdampak pada rendahnya daya saing produk. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasika...
Google Scholar
DOI
Financial Assistance for MSMEs in PRM Blagung in Increasing Resilience and Sustainability Business
Akbar, Ashar Mukhammad
; Putri, Eskasari
; Ramadhan, Abid
; Royani, Qodri
; Ar-Ridho, Kholid Jundi
; Setiawati, Erma
Abdi Psikonomi
(2026)
Micro, Small, and Medium Enterprises (MSMEs) play an important role in supporting economic growth and improving community welfare. However, many MSMEs still face challenges in financial management, such as inadequate bookkeeping practices, mixing personal and business finances, and a limited understanding of financial reports. These conditions affect the sustainability and resilience of businesses in facing economic uncertainty and market competition. This community service program aimed to impr...
Google Scholar
DOI
Application of LSTM and MODIS Satellite Imagery for Forecasting Oceanographic Dynamics and Identifying Potential Fishing Zones in the Sunda Strait
Khalifa, Muta Ali
; Yudono, Muchtar Ali Setyo
; Prabowo, Nico Wantona
; Santoso, Prakas
; Rachmanto, Farhan
; Prasetia, Aditya Teguh
This study integrates AQUA-MODIS satellite imagery with the Long Short-Term Memory (LSTM) model to forecast oceanographic dynamics and identify Potential Fishing Zones (PFZ) in the Sunda Strait. The dataset spanning from January 2014 to December 2024 was used for model training, while forecasts for January–August 2025 were validated using in-situ observations from six sampling stations. The model predicted sea surface temperature (SST), chlorophyll-a concentration, and ocean current speed, with...
Google Scholar
DOI
Analysis of Cardiac Arrhythmia Detection Using Spectrograms and Convolutional Neural Networks (CNN) for Nursing Care
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
Cardiac arrhythmia is a leading cause of sudden death, requiring rapid detection in emergency department nursing care. Manual interpretation of electrocardiograms (ECGs) is often time-consuming and prone to human error. This study aims to develop a lightweight and accurate automated arrhythmia classification system using a deep learning approach. The proposed method transforms one-dimensional ECG signals into two-dimensional visual representations in the form of spectrograms using the Short-Time...
Sumber Asli
Google Scholar
DOI
A CIA-based Sustainable Security Risk Mitigation Model for E-Certificate Systems
Suharsono, Teguh Nurhadi
; Choi , John
; Agusiady , Raden Ricky
; Saepudin, Didin
; Sukadwilinda
; Purwanto, Heri
; Savitri , Peti
; Munastha, Ketut Abimanyu
E-certificates are increasingly adopted across sectors, yet existing studies have not developed an integrated risk mitigation model that combines CIA-based sustainable security with operational and stakeholder perspectives. Current frameworks primarily address isolated technical risks or focus on general PKI security, leaving a gap in holistic modeling tailored to end-to-end e-certificate implementation. This study addresses this gap by proposing a Sustainable Security Risk Mitigation Model for...
Google Scholar
DOI
Integrated Sustainable Manufacturing and Waste Management Framework for Medium-Density Fiberboard (MDF): Finite Element Methods-Based Structural Optimization for Bookshelf Applications
Medium-density fiberboard (MDF) is commonly used in furniture manufacture because of its consistent qualities, low cost, and ease of processing. However, its relatively short lifespan and rising market demand have resulted in substantial waste generation, posing serious environmental and disposal concerns. This study provides an integrated sustainable manufacturing and waste management framework for MDF that incorporates artificial intelligence technology and finite element method (FEM)-based st...
Google Scholar
DOI
CFD-Based Thermohydrodynamic Analysis of Vegetable Oil Lubricants in Journal Bearings
This study investigates the thermohydrodynamic performance of journal bearings lubricated with palm trimethylolpropane (TMP) ester as a biolubricant, compared to conventional engine oil, using computational fluid dynamics (CFD) in ANSYS Fluent. The objective is to evaluate the influence of lubricant type on pressure distribution, load carrying capacity, friction force, and cavitation behavior. The results show that palm TMP ester generates higher hydrodynamic pressure while maintaining a similar...
Google Scholar
DOI
Collaborative leadership between principals and school counselors as a predictor of students' PERMA well-being in wetland-based senior high schools
Student well-being is increasingly recognized as a core indicator of educational quality, yet its structural and leadership determinants remain underexplored in wetland-based school systems. This study critically examines whether collaborative leadership between principals and school counselors predicts students’ PERMA well-being in public senior high schools in Provinsi Kalimantan Selatan, Indonesia. Using a multisite quantitative survey, data were collected online from 12 randomly selec...
Google Scholar
DOI