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All Journal JURNAL PROFESI KEGURUAN Indonesian Journal of Cardiology Heart Science Journal International Journal of Renewable Energy Development
Lestari, Puspa
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Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Medicine & Pharmacology

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Peningkatan Kompetesi Speaking Narrative dengan Menggunakan Model Pembelajaran Role Playing bagi Peserta Didik Kelas X 1 SMK Negeri 1 Toroh Kabupaten Grobogan pada Semester 2 tahun Pembelajara 2014/2015 Lestari, Puspa
widiyanto Vol 2, No 2 (2016): Jurnal Profesi Keguruan
Publisher : LP3 Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpk.v2i2.13743

Abstract

The outline of the research issue are how is the process of learning and improving speaking narative using the Role Playing model for students of class X-1 1st Toroh Senior Hight School 2nd Semester 2014/2015. The research is crried out though 2 cycles. Each cycle has two meetings. The subject of the research is the students of 1st Toroh Senior High School X-1 2nd semester school year 2014/2015. The average cycle I 80,26 with 66% reached the KKM and cycle OO average 85,39 with 89% reach the KKM, followed by a good atitude.
Hydrogen-rich syngas production of solid waste supercritical water gasification multi-objective process optimization Saputro, Bayu Aji; Surjosatyo, Adi; Sari, Wanda Rulita; Dafiqurrohman, Hafif; Qossam, Izzuddin Al; Lestari, Puspa
International Journal of Renewable Energy Development Vol 14, No 4 (2025): July 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60848

Abstract

The increasing population and changing lifestyles have led to significant solid waste accumulation, necessitating efficient waste management to prevent environmental and health issues. Supercritical water gasification (SCWG) is an effective method for converting high-moisture biomass into hydrogen-rich syngas, operating at temperatures above 374°C and pressures above 490MPa. The objective of this study was to develop and validate an integrated modeling and multi-objective optimization framework, combining Response Surface Methodology (RSM), Artificial Neural Networks (ANN), and Multi-Objective Genetic Algorithm (MOGA) to maximize hydrogen-rich syngas production from municipal solid waste through SCWG. The research models and predicts the effects of feed concentration, residence time, and reaction temperature on hydrogen yield, lower heating value (LHV), and gas yield. The integrated RSM and ANN models demonstrated high predictive accuracy with R² values exceeding 0.95. Optimization results from MOGA identified optimal parameters: a feed concentration of 2%, a reaction temperature between 490-495°C, and a residence time of 80 minutes. These conditions achieved H2 selectivity of 84.73%, an LHV of 6.95 MJ/Nm³, and a gas yield of 29.7%. The findings highlight the dominant influence of reaction temperature and residence time on hydrogen production, while feed concentration requires careful balance for optimal syngas quality. This study demonstrates that the combined use of RSM, ANN, and MOGA provides an effective framework for optimizing SCWG processes, offering practical insights for industrial-scale applications. Future research should explore additional variables such as biomass composition, pressure, and catalysts to enhance the efficiency and sustainability of hydrogen production from solid waste, supporting SCWG as a viable technology for sustainable energy production and effective waste management.
Predictors of prolonged use of mechanical ventilation in patients with acute respiratory failure and acute heart failure in the CVCU RSUD Dr. Saiful Anwar Malang Lestari, Puspa; Anjarwani, Setyasih; Kurnianingsih, Novi; Prasetya, Indra; Martini, Heny
Jurnal Kardiologi Indonesia Vol 46 No 3 (2025): July - September, 2025
Publisher : The Indonesian Heart Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30701/ijc.1335

Abstract

Background Acute respiratory failure (ARF) is a critical condition that often complicates hospitalization and commonly arises from cardiopulmonary dysfunctions such as acute heart failure. Prolonged mechanical ventilation (PMV) in these patients is associated with increased morbidity, mortality of about 30%, and greater healthcare resource utilization. Identifying predictors of PMV is essential to improve outcomes and optimize management strategies. Methods A retrospective cohort study was conducted on all patients who underwent endotracheal intubation in the Cardiovascular Care Unit (CVCU) of RSUD Dr. Saiful Anwar Malang from 2015 to 2021. Patients with incomplete medical records or who died within 14 days of mechanical ventilation were excluded. Univariate and multivariate logistic regression analyses identified independent predictors of PMV. Receiver operating characteristic (ROC) curves were generated to assess model discrimination using the area under the curve (AUC), with corresponding sensitivity and specificity. Data were analyzed using SPSS 22.0. Results Five independent predictors of PMV were identified: tachycardia (p = 0.013), metabolic acidosis (p = 0.002), impaired renal function (p = 0.009), shock (p = 0.006), and major bleeding (p = 0.002). Multivariate analysis showed the following odds ratios(OR, 95% CI): tachycardia 2.06 (1.09–5.99), metabolic acidosis 2.03 (1.09–6.33), impaired renal function 2.87 (1.28–6.46), shock 2.83 (1.13–7.06), and major bleeding 1.36 (1.18–2.15). The model demonstrated good discrimination with an AUC of 0.83 (95% CI 0.77–0.88), sensitivity 0.87, and specificity 0.73. Conclusion In patients with respiratory failure due to acute heart failure, tachycardia, metabolic acidosis, impaired renal function, shock, and major bleeding were independent predictors of prolonged mechanical ventilation. The predictive model showed high sensitivity and acceptable specificity, supporting its clinical usefulness for early identification of high-risk patients and targeted intervention.
Ventricular Tachycardia Storm Management in Acute Cardiac Care: Prompt response to life-threatening conditions Lestari, Puspa; Anjarwani, Setyasih; Rohman, Mohammad Saifur; Rizal, Ardian
Heart Science Journal Vol. 4 No. 1 (2023): Optimizing Outcome in Acute Cardiac Care
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.hsj.2023.004.01.7

Abstract

Background: Ventricular Tachycardia (VT) storm or electrical storm (ES) is defined as cardiac electrical instability and refers to the occurrence of three or more ventricular tachyarrhythmias (VT and or ventricular fibrillation (VF)) in a 24-hour period, or VT recurring soon (within five minutes) after termination of another VT episode, or sustained or no sustained VT with total ectopic beats greater than sinus beats in a 24-hour period. The frequency of VT storms varies on population. When ICDs are implanted for primary prevention (4 percent), it is lower than when they are implanted for secondary prevention (20 percent).Case Summary: We presented patient with Ventricular Tachycardia (VT) storm. A 63-year old woman was admitted to emergency room with chief complaint frequent episodes of palpitation. She was found to have monomorphic VT with unstable hemodynamic. Then she got cardioversion 100 Joule, continued with lidocaine drip and VT reverted to sinus rhythm. Patient admitted to cardiovascular care unit, but she had VT refractory. She got complete revascularization for coronary artery before, but the episodic of VT still occurred with cardiogenic shock (CS) and pulmonary edema. She got cardioversion, amiodarone iv and inotropes, then observed this patient at CVCU. After the condition stable, this patient was discharged and planned for ICD insertion at the next admission.Discussion: We discuss the various available treatment options for VT storm and practical challenges faced in management of hemodynamically unstable VT storm. Initial management involves identifying and correcting the underlying ischemia, electrolyte imbalances, or other inciting factors.
Co-Authors Adi Surjosatyo Anjarwani, Setyasih Dafiqurrohman, Hafif Indra Prasetya Irham Nurwidyanto Kurnianingsih, Novi Martini, Heny Mohammad Saifur Rohman Qossam, Izzuddin Al Rizal, Ardian Saputro, Bayu Aji Sari, Wanda Rulita Susantoro, Tri M Udi Harmoko