Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal JTAM (Jurnal Teori dan Aplikasi Matematika) Critical Medical and Surgical Nursing Journal
Sihotang, Raja Van Den Bosch
Unknown Affiliation
Health Professions Mathematics Nursing

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Monitoring PH of Shrimp Water using Progressive Max Chart Rosyadi, Niam; Syahzaqi, Idrus; Ibrahim, Auron Saka; Sihotang, Raja Van Den Bosch; Ahsan, Muhammad; Mashuri, Muhammad
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 4 (2025): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i4.30255

Abstract

Control charts aim to reduce variability in the process and monitor for out-of- control processes. So far, the process of monitoring quality is usually carried out partially, namely monitoring the mean process and process variability. This approach is less effective and time-consuming because two separate charts must be created simultaneously. One alternative is to analyze both parameters simultaneously, such as through the Progressive Max Chart method (Mixed-Methods Research: Quantitative and Applied). The Progressive Max Chart is a control chart designed for monitoring both the mean and variability by considering the case of subgroup observations. This study uses a quantitative approach, combining primary data collection and simulations to generate findings through statistical analysis and quantifiable measurements. The purpose of this research is to compare methods such as the Progressive Max Chart, EWMA-Max, and Max Chart. The analysis results show that the Progressive Max Chart method performs better than the Max Chart and EWMA- Max Chart, both in terms of mean, variance, and mean-variance detection, for small shifts and large shifts. The control chart performance results provide optimal outcomes for monitoring out-of-control signals at subgroup sizes of n = 2, 3, 5. This is characterized by ARL₁ values that approach 1 more quickly. This method is applied to pH data from vannamei shrimp pond water located in Madura. The Progressive Max Chart method provides optimal results by maximizing the detection of in-control signals. Additionally, it is tested on synthesized data and demonstrates optimal performance in detecting both small and large shifts in mean, variance, and mean-variance.
Analysis of Risk Factors for Length of Hospitalization in Patients With Type 2 Diabetes Mellitus Koesnadi, Grace Lucyana; Sihotang, Raja Van Den Bosch; Suwarno, Michelle Adelia; Ibrahim, Auron Saka; Ariyawan, Jovansha; Saifudin, Toha
Critical Medical and Surgical Nursing Journal Vol. 15 No. 1 (2026): APRIL 2026
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Introduction: Diabetes Mellitus (DM) is a chronic metabolic disorder characterized by persistent hyperglycemia due to impaired insulin secretion, insulin action, or both. This study aimed to analyze risk factors influencing the length of hospital stay (LOS) among patients with Type 2 Diabetes Mellitus (T2DM) at Universitas Airlangga Hospital in 2023.   Methods: A quantitative observational study with a cross-sectional design was conducted using secondary data from 75 inpatient medical records. Survival analysis methods, including Kaplan–Meier estimation and Cox proportional hazards regression, were applied to evaluate factors associated with LOS.   Results: The mean LOS was 3.89 ± 3.22 days, and the mean age was 58.37 ± 11.16 years. Patients aged >65 years had a longer LOS (5.64 days) compared to younger groups. Based on the Cox regression model, age was identified as the only variable that significantly influenced LOS (p < 0.05), with younger patients having a higher probability of earlier discharge.   Conclusion: In conclusion, age is a significant predictor of hospitalization duration in T2DM patients. These findings highlight the importance of age-specific management strategies to optimize hospital resource utilization and patient outcomes
Co-Authors Ahsan, Muhammad Ariyawan, Jovansha Ibrahim, Auron Saka Idrus Syahzaqi Koesnadi, Grace Lucyana muhammad mashuri Rosyadi, Niam Suwarno, Michelle Adelia Toha Saifudin