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 41–50 dari 8510 artikel
Analisis Pola Keterlibatan Belajar Berbasis Learning Analytics pada LMS
Journal of Informatics Education
Vol 9
, No 1
(2026)
Penelitian ini menganalisis pola keterlibatan mahasiswa dalam pembelajaran daring menggunakan data learning analytics yang terekam dalam Learning Management System. Penelitian menggunakan desain kuantitatif deskriptif dengan data sekunder empiris dari satu mata kuliah daring selama delapan minggu yang melibatkan 120 mahasiswa. Indikator yang dianalisis meliputi frekuensi login, akses materi, durasi penggunaan sistem, partisipasi forum, ketepatan pengumpulan tugas, penyelesaian aktivitas, dan sko...
Sumber Asli
Google Scholar
DOI
Analisis Sentimen Ulasan Pengguna Layanan Publik Menggunakan Algoritma Naïve Bayes
Journal of Informatics Education
Vol 9
, No 1
(2026)
This study aims to analyze the sentiment of user reviews of the Super App Polri application on the Google Play Store using the TF-IDF feature extraction method and the Multinomial Naïve Bayes classification algorithm. Super App Polri is a digital service of the Indonesian National Police providing SIM, STNK, SKCK renewals, and public complaint services. Data were collected via web scraping of 3,500 user reviews. Preprocessing stages—cleansing, case folding, tokenizing, stopword removal, and stem...
Sumber Asli
Google Scholar
DOI
Low-Dose Salinomycin Targets Multidrug Resistance via P-Glycoprotein and NF-κB in Osteosarcoma Cells
Ayu, Onarisa
; Rusda, Muhammad
; Sembiring, Rosita Juwita
; Nasution, Iqbal Pahlevi Adeputra
; Mahyudin, Ferdiansyah
; Amin, Mustafa Mahmud
; Pasaribu, Hotma Partogi
; Tobing, Tina Christina Lumban
Chemotherapy resistance in osteosarcoma remains a major clinical obstacle, largely driven by drug efflux mechanisms mediated by P-glycoprotein (ACBC1/ABCB1) and activation of NF-κB signaling (NFKB1). This study investigated the potential of Salinomycin to modulate these multidrug resistance–associated genes in U2OS osteosarcoma cells and explore its role in overcoming chemoresistance. A true experimental post-test-only control group design was used. U2OS cells were treated with varying concentra...
Google Scholar
DOI
Hubungan Karakteristik Individu, Kepribadian Hardiness, dan Dukungan Sosial terhadap Stres Kerja pada Pengendara Ojek Online
Journal of Occupational Health, Hygiene and Safety
Vol 3
, No 1
(2026)
Seiring dengan perkembangan ilmu pengetahuan, budaya, dan teknologi bersamaan dengan meningkatnya kebutuhan masyarakat, maka terjadi perubahan pada aktivitas sehari-hari dan pekerjaan di masyarakat yang menciptakan pekerjaan baru, salah satunya adalah ojek online yang merupakan perkembangan transportasi berbasis aplikasi. maraknya penggunaan transportasi online berpotensi menimbulkan permasalahan keselamatan dan kesehatan kerja bagi pengemudi ojek online yakni stres kerja. Tujuan penelitian ini...
Sumber Asli
Google Scholar
DOI
DETERMINASI TAX COMPLIANCE: PERAN DIGITAL TAXATION, FINANCIAL LITERACY, DAN TRUST IN AUTHORITY
Jurnal Akuntansi, Keuangan dan Auditing
Vol 7
, No 1
(2026)
ABSTRAK
Perkembangan sistem perpajakan digital secara pesat telah mengubah lanskap kepatuhan pajak, khususnya di kalangan Generasi Z yang melek teknologi. Penelitian ini secara empiris mengkaji pengaruh digital taxation, literasi keuangan, dan kepercayaan pada otoritas pajak terhadap kepatuhan pajak sukarela pada Generasi Z di Indonesia tahun 2024. Populasi penelitian adalah pekerja Generasi Z. Sampel penelitian berjumlah 123 sampel, dengan menggunakan purposive sampling. Pendekatan metode kuan...
Sumber Asli
Google Scholar
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
Metaheuristic Optimization Stacking Application for Rainfall Classification: A Comparative Study
Accurate rainfall classification plays a vital role in effective meteorological forecasting, agricultural planning, and also to avoid natural disasters. However, standard classification models often exhibit unstable performance. This study evaluates the effectiveness of an Ensemble Stacking framework enhanced with Optimized Swarm Based and Metaheuristic method such as Artificial Bee Colony (ABC) and Cuckoo Search (CS) optimization algorithms to improve prediction reliability. The proposed approa...
Google Scholar
DOI
ECCFD-GNN: A Novel Risk-Sensitive Graph Neural Network Model for Fraudulent Transaction Detection
The study presents the integration of machine learning techniques for detecting the credit card fraud. Its integration maintains a behavioral profile of cardholders and other parameters like location, frequency, amount etc. resulting in the timely detection of any anomaly from the normal behavior. A novel approach ECCFD-GNN (Enhanced Credit Card Fraud Detection based on Graph Neural networks) is proposed enhancing the performance of fraud detection. The various behavioral indicators taken into c...
Google Scholar
DOI
Inovasi Desalinasi Terpadu untuk Kemandirian Air Bersih dan Ketahanan Pangan di Desa Pesisir: KolaborasiPetani, BUMDes, dan Tempat Ibadah: Integrated Desalination Innovation for Clean Water Independence and Food Security in Coastal Villages: Collaboration Farmers, Village-Owned Enterprises, and Places of Worship
Irawansah, Opi
; Susanti, Susanti
; Ma’ruf, Anwar
; Nurwibowo, Fajar
; Hikmawati, Isna
; Sapundani, Rum
; Almahdi, Nuh
; Miftah, Rasyid
; Rizkya, Dayna
; Zaqia Alwi, Myra
; Putri Maulida, Nandita Vitarin
; Nurwibowo, Fajar
Ujung Alang Village, located in Kampung Laut Subdistrict, Cilacap Regency, is a coastal area facing critical challenges in freshwater availability due to seawater intrusion and limited access to clean water sources. This condition affects domestic needs, sanitation, and the productivity of local agriculture. The Kosabangsa 2025 Program was implemented as a strategic effort to enhance water self-sufficiency and food security through the application of solar-powered Reverse Osmosis (RO) desalinati...
Google Scholar
DOI
Evaluating Behavior-Driven Metrics in Gamified Hybrid Environments: A Structural Analysis Approach
Henka Bayu Seta
; Zatin Niqotaini
; Sarika Afrizal
; Theresiawati
; Artika Arista
; Rapolo Joshua Napitupulu
; Muhammad Ibrahim Al Farisi
Despite the widespread adoption of gamification in higher education, a significant research gap remains regarding the structural pathways through which specific game elements influence psychological drivers and academic success in hybrid settings. This study addresses this by evaluating the impact of badges, points, progress bars, and leaderboards on student motivation and outcomes using a quantitative approach with a sample of 437 university students in Indonesia. Data were analyzed using Parti...
Google Scholar
DOI