Analysis of the Utilization of Mangrove Species Diversity in Jerowaru District, East Lombok

Muhammad Aminuddin — Tue, 12 Aug 2025 00:00:00 +0700

Indonesia has the largest mangrove ecosystem in the world, but it experiences significant degradation of up to 52,000 hectares per year due to anthropogenic pressures and weak local governance. This condition demands a sustainable utilization strategy. This study examines the utilization of mangrove diversity by coastal communities in Jerowaru District, East Lombok, as a locally based conservation effort. A qualitative approach was used through participant observation, in-depth interviews, and field documentation, with thematic analysis to uncover adaptation patterns and perceptions of sustainability. The results indicate five dominant species—Rhizophora apiculata, Rhizophora mucronata, Avicennia marina, Bruguiera gymnorhiza, and Sonneratia alba—that are distributed across various ecological zones. Utilization includes construction materials, local food, herbal medicine, tourist attractions, and ritual activities, carried out collectively with traditional knowledge. Ecologically, mangroves function as abrasion barriers, waste filters, and habitats for coastal biota; socio-culturally, they serve as symbols of community identity and a space for intergenerational reflection. This study emphasizes the importance of integrating scientific and local knowledge as key to sustainable mangrove management. The utilization model in Jerowaru offers an integrated conservation approach that supports the Sustainable Development Goals (SDGs) while strengthening the foundations of a community-based green economy.

Comparison of Cox Proportional Hazards and Weibull Regression Models in Survival Analysis of Heart Failure Patients Using UCI Repository Data

Ardicha Appu Sianturi, Risca Octaviyani Hutapea, May Rani Tabitha Sinaga — Tue, 30 Sep 2025 00:00:00 +0700

Heart failure is a leading cause of death worldwide, with a high mortality rate due to decreased heart function and systemic complications. Survival analysis is used to understand factors that influence patient survival and estimate the risk of death based on clinical characteristics. This study aims to analyze factors that influence survival time in heart failure patients and compare the performance of the Cox Proportional Hazards (CoxPH) model with the Weibull Accelerated Failure Time (AFT) in predicting the risk of death. Data are from the Heart Failure Clinical Records Dataset (UCI Repository) which includes 299 patients with variables such as age, anemia, hypertension, serum creatinine levels, and ejection fraction. The analysis was performed using the Kaplan–Meier, CoxPH, and Weibull AFT methods with evaluation through AIC and C-index values. The results show that age, anemia, hypertension, and creatinine increase the risk of death, while ejection fraction is protective. The CoxPH model performed better (AIC 958.46; C-index 0.741) than the Weibull AFT (AIC 1282.24; C-index 0.259). Therefore, CoxPH is recommended for estimating relative risk between patients, while Weibull AFT is more suitable for estimating absolute survival duration.

EduMatika: Jurnal MIPA

Analysis of the Utilization of Mangrove Species Diversity in Jerowaru District, East Lombok

Comparison of Cox Proportional Hazards and Weibull Regression Models in Survival Analysis of Heart Failure Patients Using UCI Repository Data