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Safety of Rivaroxaban For Prophylaxis Vein Thrombosis Post Total Hip and Knee Replacement Luthfiyanti, Niken; Jayak Pratama, Kharisma; Noviana, Noviana
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4193

Abstract

Orthopaedic surgery such as surgery on the pelvis and knee bones has a high risk of developing Deep Vein Thromoembolism (DVT), especially in patients with hypercoagulability. Venous thromboembolism is the main cause of morbidity and mortality in orthopedic patients that can be prevented using thromboprophylaxis, but on the other hand is related to the risk of bleeding side effects. The study aimed to evaluate the safety of oral Rivaroxaban prophylaxis in patients after Total Hip and Knee Replacement. This research applied cross sectional technique. Retrospective data were taken from the medical records of Dr. Moewardi Surakarta, period January 2023- July 2024. The data taken are secondary data from the patient's medical record by recording clinical symptoms that appear. Rivaroxaban safety evaluation includes the incidence rate of bleeding as well as the factors that influence the occurrence of bleeding. A total of 38 patients met the inclusion criteria of the study. Bleeding occurred in 4 cases (10.5%). Factors that affect the incidence of bleeding renal failure (p = 0.001). Monitoring of Rivaroxaban side effects is indispensable. Pharmaceuticals can play an important role in monitoring and preventing the occurrence of bleeding by paying attention to risk factors, especially kidney failure.
Performance Analysis of the IndoBERT–Prophet Hybrid Model for Logistics Applications Mulyati, Erna; Maniah, Maniah; Noviana, Noviana; Pardede, Nia
Spektrum Industri Vol. 23 No. 2 (2025): Spektrum Industri - October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i2.480

Abstract

The increasing competition in Indonesia’s logistics sector, particularly in digital courier applications, highlights the need for advanced analytical tools capable of understanding and predicting customer sentiment in real time. However, current sentiment analysis methods often lack contextual depth and predictive capability, limiting their practical value for decision-making. This study aims to develop and validate an integrated analytical framework that combines diagnostic and predictive analytics for logistics performance evaluation. The framework integrates a fine-tuned IndoBERT model for sentiment classification and a Prophet model for time-series forecasting, allowing the analysis of user reviews while accounting for external service disruptions. Empirical validation was conducted using 924 user reviews from the PosAja! application by PT Pos Indonesia. The IndoBERT model achieved an impressive 99.5% accuracy, effectively identifying two main complaint categories: application functionality issues and delivery delays. The Prophet forecasting component successfully modeled sentiment trends, revealing spikes in negative sentiment that strongly correlated with technical service disruptions, such as COD feature failures and server maintenance. The results confirm the framework’s robustness in both diagnosing and forecasting sentiment dynamics. User sentiment proved to be a sensitive real-time indicator of service stability and operational performance. The validated IndoBERT–Prophet hybrid framework provides a novel, data-driven approach for proactive decision-making and continuous service improvement in the logistics industry.