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Sistem Pendukung Keputusan Penentuan Prioritas Tenaga Kesehatan di Kota Yogyakarta menggunakan Integrasi AHP, SAW, dan WP
Journal of Informatics Education
Vol 9
, No 1
(2026)
Distribusi tenaga kesehatan yang tidak merata seringkali tidak mencerminkan kebutuhan riil populasi, sehingga diperlukan alat bantu keputusan yang objektif. Penelitian ini bertujuan merancang dan membangun sistem pendukung keputusan (SPK) berbasis web untuk menentukan prioritas kecamatan yang membutuhkan penambahan tenaga kesehatan di Kota Yogyakarta. Metode Analytical Hierarchy Process (AHP) digunakan untuk menentukan bobot kriteria berdasarkan penilaian pakar, yang hasilnya menunjukkan konsist...
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Analysis of the Influence Service Quality on Outpatient Satisfaction at Mojosongo Boyolali Community Health Center Moderated by Payment Type
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
Service quality is a factor that can influence the level of patient satisfaction in obtaining health services. This study aims to determine how service quality can influence outpatient satisfaction with the type of payment as a moderating variable at the Mojosongo Boyolali Community Health Center. This study used a quantitative analytical method with a cross-sectional approach. The number of samples in this study was 355 respondents selected using a simple random sampling technique. Data were co...
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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...
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Analisis Penerapan K3 Laboratorium Berdsarkan Permenkes No 43 Tahun 2013 Di Laboratorium RS X. Di Kota Batam Tahun 2024
Journal of Occupational Health, Hygiene and Safety
Vol 3
, No 1
(2026)
Keselamatan dan kesehatan kerja (K3) Laboratorium ialah Segala kegiatan yang dilakukan untuk menjamin dan melindungi sumber daya manusia di fasilitas pelayanan kesehatan, termasuk pasien, pendamping pasien, karyawan, dan pengunjung rumah sakit. Penelitian ini dilakukan untuk mengetahui standar penerapan K3 di Laboratorium Rumah Sakit X Kota Batam. Jenis penelitian ini menggunakan metode deskriptif kualitatif (wawancara mendalam) dan tringulasi data . Informan dalam penelitian ini berjumlah 10 or...
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Analisis Implementasi Keselamatan,Kesehatan Kerja, dan Lingkungan (K3L) dalam Pelaksanaan Praktik Di Workshop Politeknik Gajah Tunggal
Journal of Occupational Health, Hygiene and Safety
Vol 3
, No 1
(2026)
Research conducted at the Gajah Tunggal Polytechnic aims to explore the implementation of safety, health, security and environmental (K3L) practices in mechanical engineering workshops. The results show that students have a good understanding of work safety, with 96.8% of them aware of the potential dangers that exist in the workshop environment. Even though the majority of students, namely 82.25%, use personal protective equipment (PPE) during practicum, there are still 17.75% who do not use it...
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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...
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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...
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Design and Evaluation of Hazard Analysis Procedures in Mining Occupational Safety Programs
Workplace accidents in the mining industry remain high, highlighting the need for systematic hazard analysis to strengthen Occupational Health and Safety (OHS) programs. This study aims to design and evaluate a Hazard Analysis Procedure (HAP) model for PT. XYZ. Using quantitative methods, the research applied the Fuzzy Delphi technique to validate OHS parameters and the Fuzzy Analytic Hierarchy Process (FAHP) to determine their relative weights. Data were obtained from ten certified OHS experts...
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Optimization of Tracking Algorithm on Mouse Movement Monitoring Platform in Medical Testing
Ibrahim, Sutrisno
; Rohmani, Rahmat
; Hariyono, Joko
; Rahutomo, Faisal
; Wiyono, Nanang
; Yudhani, Ratih
Accurate monitoring of mouse behavior in the Elevated Plus Maze (EPM) is essential for anxiety-related biomedical research, yet manual observation is time-consuming, subjective, and prone to human error. This study proposes an optimized automated tracking framework that integrates YOLOv8 detection with tracking methods including an adaptive Kalman Filter and DeepSORT, and compares them with conventional trackers such as CSRT and GOTURN. System performance was evaluated using Intersection over Un...
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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...
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