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Clinical and Laboratory Characterization of Hemodialysis Patients in Relation to Survival Outcomes at a Tertiary Referral Hospital in Indonesia Sipayung, Elisabeth; Nariata, I Wayan; Yassir; Satyawati, Rumaisah; Wijaya, Surya Oto; Budi, Gesang Setia; Anitha; Rivaldiansyah; Maemun, Siti; Widiantari, Aninda Dinar
Current Internal Medicine Research and Practice Surabaya Journal Vol. 6 No. 2 (2025): CURRENT INTERNAL MEDICINE RESEARCH AND PRACTICE SURABAYA JOURNAL
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/cimrj.v6i2.70810

Abstract

Introduction: Despite advancements in hemodialysis care, disease progression and outcomes in adults with various comorbidities, particularly in Indonesia’s overburdened tertiary hospitals, remain poorly characterized, limiting tailored care strategies. This study analyzed clinical characteristics and laboratory parameters among hemodialysis patients at Sulianti Saroso Infectious Disease Hospital, Jakarta, Indonesia, with stratification by survival outcomes. Methods: We conducted a retrospective cohort study of adults (>18 years) undergoing hemodialysis at Sulianti Saroso Infectious Disease Hospital between March and July 2024. Using purposive sampling, we analyzed 27 cases with documented laboratory parameters (i.e., blood urea nitrogen (BUN), serum creatinine, and estimated glomerular filtration rate (eGFR)) and clinical outcomes. Associations between outcomes and laboratory/clinical variables were assessed using Fisher’s exact test and logistic regression (p<0.05). Results: Mortality was reported in 25.9% of patients, including one who passed away due to complications related to coronavirus disease 2019 (COVID-19) shortly after being discharged. The leading indication for hemodialysis was hyperuricemia (85.2%), followed by chronic kidney disease. Nearly half of the patients (48.1%) had comorbid diabetes mellitus. Diabetic nephropathy was a key contributor to elevated urea levels. Prevalent complications reported among the patients included sepsis (70.4%) and glomerular disease (40.7%). Conclusion: This study found an association between diabetes mellitus and mortality in chronic kidney disease patients who underwent hemodialysis. Severe uremia, marked by elevated BUN levels, and symptomatic complications such as shortness of breath were observed, indicative of advanced disease progression. Earlier detection and optimized management are necessary to mitigate preventable morbidity in high-risk populations.   Highlights: 1. This study examined undercharacterized hemodialysis patients at an Indonesian tertiary hospital, focusing on high comorbidity burdens and outcomes. 2. Severe kidney disease and high mortality were observed, driven by comorbidities such as diabetes mellitus, hypertension, coronavirus disease 2019 (COVID-19), and infectious diseases (drug-resistant tuberculosis and hepatitis B/C). 3. The findings underscore the importance of optimized risk stratification and early intervention for end-stage renal failure in patients with both communicable and non-communicable disease comorbidities.
Customer Buying Interest: Advertising Attractiveness Yassir
Journal of Management Vol. 3 No. 1 (2024): January - June
Publisher : Yayasan Pendidikan Belajar Berdikari

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Abstract

This study seeks to examine the impact of advertising viewpoint on the attractiveness of Makassar advertising. This study employs the quantitative PLS approach. The results show that the variable advertising views has a significant influence on advertising credibility, advertising attractiveness has a significant influence on advertising credibility, purchasing interest, advertising attractiveness has a significant influence on purchasing interest, and simultaneously advertising views and advertising attractiveness. The findings reveal that managers must leverage other advertising stars from diverse circles such as businesspeople, sportsmen, and community leaders to capture visitors' attention
Consumer Sentiment Analysis of Sustainable Branding in Modern Marketing: Perspectives from the Food and Beverage Industry Yassir; Rafikah, Syarifah
Journal of Management Vol. 3 No. 2 (2024): July - December
Publisher : Yayasan Pendidikan Belajar Berdikari

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Abstract

This study aims to evaluate the impact of digital marketing strategies on consumer purchasing decisions in the retail industry in Bandung City, focusing on consumer sentiment towards sustainable branding. The results of linear regression analysis show that SCBB has a coefficient of 0.710, which means that every one unit increase in SCBB will increase the value of KP by 0.710 units. The t test shows that SCBB has a significant effect on KP (t = 8.875, p = 0.000). The F test shows that the overall regression model is significant (F = 78.75, p = 0.000). The coefficient of determination (R Square) of 0.562 indicates that 56.2% of the variation in KP can be explained by SCBB, with an Adjusted R Square of 0.557.The conclusion of this study is that Consumer Sentiment towards Sustainable Branding (SCBB) has a positive and significant influence on consumer purchasing decisions (KP) in the retail industry in Bandung City. Digital marketing strategies that focus on sustainable branding are proven to be an important factor influencing consumer purchasing decisions. The results of this study provide insight for retail industry players in designing effective digital marketing strategies to increase consumer purchasing decisions through a sustainable branding approach.
Grey Wolf Optimization-Based Global MPPT for Solar-Assisted Hybrid Energy Systems in Oil and Gas Production Facilities Zulfadli, Teuku; Muliadi; Yassir; Zamzami; Salahuddin
Scientific Contributions Oil and Gas Vol 49 No 1 (2026)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v49i1.2056

Abstract

Partial shading in photovoltaic (PV) modules produces multiple power peaks that reduce system efficiency if the global maximum power point is not properly tracked. This condition commonly occurs in oil and gas production facilities due to shadows from industrial structures, requiring MPPT methods with reliable global tracking capability. This study evaluates the Grey Wolf Optimization (GWO) algorithm for global MPPT under eight partial shading scenarios (12.5%–100%) using MATLAB/Simulink simulation. The results show that GWO successfully tracks the global maximum power point under single-, double-, and triple-peak conditions. Under 12.5% shading, the system produces 277.0 W with an efficiency of 99.78%; under 25% shading, it produces 266.7 W with an efficiency of 99.85%; and under 37.5% shading, it produces 204.2 W with an efficiency of 99.90%. Across all scenarios, the algorithm achieves efficiencies above 99% with an average efficiency of 99.61%, which is higher than the 97.20% reported in previous studies. This efficiency improvement of approximately 2–4% increases the contribution of solar energy in PV–diesel hybrid systems and potentially reduces fuel consumption while improving power supply reliability for critical loads in oil and gas production facilities. Unlike conventional metaheuristic approaches such as PSO-MPPT, Flower Pollination Algorithm (FPA), and Differential Evolution (DE), which are sensitive to parameter tuning or prone to premature convergence, the proposed GWO implementation employs a hierarchical three-agent update mechanism (α, β, δ) that enhances global exploration capability across complex multi-peak P–V characteristics. This distinguishes the present study from prior GWO-based MPPT work that relied solely on the alpha agent for position update.