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 31–40 dari 5069 artikel
Implementation of Superior Branding and Governance Strategies in Improving The Existence of Early Childhood Institutions (Study on Kb/Tk Ummahat Aisyiyah Cemani, Sukoharjo)
Suranto
; Narimo, Sabar
; Asmawan, Moc. Chairil
; Laksmi, Azarin Carissa Putri
; Maharani, Adelia Dinda
; Lestari, Andriyani Puji
Abdi Psikonomi
(2026)
This community service activity aims to increase the existence of KB/TK Ummahat Aisyiyah Cemani through the implementation of an integrated branding and superior governance strategy. The main problems of partners include weak school branding, limited promotion, conventional governance, and suboptimal community involvement and partnerships. The methods used are participatory, educational, and applicative approaches through the stages of socialization, training and workshops, mentoring, partnershi...
Google Scholar
DOI
Pengaruh Jam Belajar dan Kehadiran terhadap Nilai Ujian Siswa Menggunakan Logistic Regression dan Decision Tree
Journal of Informatics Education
Vol 9
, No 1
(2026)
Perkembangan teknologi data memberikan peluang dalam menganalisis faktor-faktor yang memengaruhi performa akademik siswa secara lebih objektif dan berbasis data. Penelitian ini bertujuan untuk menganalisis pengaruh jam belajar dan tingkat kehadiran terhadap nilai ujian siswa di SMP Negeri 3 Sokaraja menggunakan pendekatan pembelajaran mesin terawasi, yaitu algoritma Logistic Regression dan Decision Tree. Dataset yang digunakan terdiri dari data siswa yang mencakup variabel Study_Hours, Attendanc...
Sumber Asli
Google Scholar
DOI
Sistem Rekomendasi Multimodal Pada E-Commerce Menggunakan Transformer Integrasi Teks Deskripsi Dan Gambar Produk Untuk Mengatasi Item Cold-Start
Journal of Informatics Education
Vol 9
, No 1
(2026)
Penelitian ini mengembangkan sistem rekomendasi multimodal berbasis Transformer yang mengintegrasikan teks deskripsi dan gambar produk untuk mengatasi masalah cold-start pada e-commerce. Fokus utama penelitian adalah menguji efektivitas sistem rekomendasi multimodal dengan evaluasi Top-K (Recall, NDCG, MRR) pada dua domain: Overall dan Cold-start. Hasil eksperimen menunjukkan bahwa model berbasis konten tunggal (text-only dan image-only) lebih stabil dalam menghadapi item cold-start dibandingkan...
Sumber Asli
Google Scholar
DOI
DEVELOPMENT OF AN ULTRASOUND PHANTOM WITH MODIFIED VISCOSITY TO SIMULATE HUMAN SOFT TISSUE
Ulin Nuha ABA, M.Si, Muhammad
; Haris Kuspranoto, Abdul
; ., Mugiyanto
; Hadi, Syaikhul
; Satrio Anggono, Christopher Nicolaus
; Ahmad ilham, Gus
; Ulin Nuha ABA, M.Si, Muhammad
; Haris Kuspranoto, Abdul
; ., Mugiyanto
; Hadi, Syaikhul
; Satrio Anggono, Christopher Nicolaus
; Ahmad ilham, Gus
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
The diagnostic accuracy and success of ultrasound-based intervention procedures depend heavily on the quality of device calibration and the expertise of medical personnel. The development of ultrasound phantoms that can realistically replicate the acoustic and mechanical properties of human soft tissue is a crucial requirement in medical education and the standardisation of electromedical technology....
Sumber Asli
Google Scholar
DOI
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
Penerapan ROP Berbasis Business Intelligence untuk Efisiensi Persediaan Depot Barokah
Journal of Informatics Education
Vol 9
, No 1
(2026)
Pengelolaan persediaan bahan baku merupakan aspek penting dalam menjaga kelancaran operasional dan efisiensi biaya pada usaha kuliner. Depot Barokah masih melakukan pemesanan bahan baku secara manual berdasarkan perkiraan, sehingga berpotensi menimbulkan overstock maupun stock-out. Penelitian ini bertujuan menerapkan metode Reorder Point (ROP) berbasis Business Intelligence (BI) untuk menentukan waktu pemesanan ulang bahan baku secara lebih tepat dan efisien. Penelitian menggunakan pendekatan de...
Sumber Asli
Google Scholar
DOI
Analysis of Medical Records Staff Perceptions of RME Use at Indriati Solo Baru Hospital Using the TAM Model
AZZAHRA, EVA
; Ratri Sukmaningsih, Wahyu
; Ajika Pamungkas, Canggih
; Ratri Sukmaningsih, Wahyu
; Ajika Pamungkas, Canggih
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
Electronic Medical Records are a health information system whose implementation is mandatory in all healthcare facilities in Indonesia in accordance with Minister of Health Regulation No. 24 of 2022. The success of EMR implementation is determined not only by the technology used but also by user acceptance of the system. This study aims to analyze the influence of medical records staff acceptance on the use of EMR at Indriati Solo Baru Hospital based on the Technology Acceptance Model (TAM) appr...
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
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
FTFPOS-IDF: A Fuzzy Rule-Based Thematic Term Weighting Scheme for Bloom's Taxonomy Question Classification
The increasing adoption of Artificial Intelligence (AI) in education has created a growing demand for automated and reliable assessment systems. Existing Bloom’s Taxonomy (BT) question classification approaches commonly rely on TF-IDF-based weighting schemes, which assign static term weights and often fail to capture the varying thematic importance of terms across cognitive levels. To address this limitation, this study proposes a novel Fuzzy Thematic Feature and Part-of-Speech Inverse Document...
Google Scholar
DOI