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All Journal Inersia : Jurnal Teknik Sipil dan Arsitektur Desimal: Jurnal Matematika
Yahya, Muhammad Harun
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Civil Engineering, Building, Construction & Architecture Education Mathematics Social Sciences

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Analysis of Peak Ground Acceleration (PGA) and Modified Mercalli Intensity (MMI) Scale using PSHA Method in Lampung Province Yahya, Muhammad Harun; Ashari, Almaida Enggar; Syahbana, Arifan Jaya; Kuntjoro, Yanif Dwi; Luthfin, Ahmad
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 20 No. 2 (2024): December
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v20i2.73063

Abstract

Earthquakes are inevitable natural disasters that are challenging to predict, yet effective mitigation is crucial. Lampung Province, located in Indonesia, faces significant tectonic activity due to the Sumatra Fault System (SFS) and the subduction of the Indo-Australian and Eurasian plates. Its strategic location as the gateway to Sumatra Island further underscores the importance of understanding earthquake hazards in the region. This study analyzes earthquake risks in Lampung Province using a micro-scale approach that integrates Peak Ground Acceleration (PGA) and Modified Mercalli Intensity (MMI) values through the PSHA method. The PSHA method identifies earthquake microzonations and generates PGA values that are then converted to the MMI scale to determine the intensity of earthquake strength. The mapping of Lampung Province identified five zones with different levels of earthquake hazard, ranging from VII to XI MMI with varying PGA values. The first zone, on the VII MMI scale, has a PGA ranging from 0.20 to 0.25g. The second zone, in the VIII MMI scale category with PGA ranging from 0.20 to 0.40g. The third zone, falls within the IX MMI scale category with PGA ranging from 0.40 to 0.70 g. The fourth zone is categorized as X MMI scale with PGA values ranging from 0.70 to 1.00g. The fifth zone, has a scale of XI MMI with a range of PGA values between 1.00 and 2.50 g. Areas with higher PGA and MMI scales indicate a greater potential for severe damage, highlighting the need for targeted mitigation strategies in high-risk zones. These findings provide a foundation for disaster preparedness and urban planning in Lampung Province.
Bayesian spatial data analysis: Application of pneumonia spread in west java Habsy, Muhammad Yusuf Al; Husein, Fulkan Kafilah Al; Yahya, Muhammad Harun; Rachmawati, Ro'fah Nur
Desimal: Jurnal Matematika Vol. 7 No. 1 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i1.23154

Abstract

Pneumonia has a notable influence on public health, especially among susceptible demographics like children and the elderly. This respiratory disease can be transmitted through human interaction. Analyzing the spread of the illness within a community requires assessing the characteristics of the community itself. The objective of this research is to describe the distribution of pneumonia cases and their causes in the West Java Province using RStudio software. The analytical method employed is the Integrated Nested Laplace Approximations (INLA) approach, a Bayesian statistical method used for estimation in complex Bayesian models, particularly in hierarchical or nested structure. The sample utilized comprises the entire population, totaling 27 Districts/Cities within West Java Province. The influence of differences in population size, number of people living in poverty, waste production, the quantity of primary healthcare facilities, total number of vehicles, and the count of HIV patients in Cities/Regencies in West Java on the spread of pneumonia will be analyzed. The result of analysis show that the population and number of health centers variables had a significant influence on the mapping of pneumonia disease in each location. And also, the Relative Risk (RR) and Standardized Incidence Ratio (SIR) maps show that some regions have a higher risk of pneumonia compared to other regions. These findings are expected to provide insights for public policies in addressing health issues, particularly in the efforts to prevent and control diseases like pneumonia. Moreover, these results serve as a foundation for further studies regarding other factors that might contribute to the spread of this disease at the local level.
Co-Authors Ahmad Luthfin Arifan Jaya Syahbana Ashari, Almaida Enggar Habsy, Muhammad Yusuf Al Husein, Fulkan Kafilah Al Kuntjoro, Yanif Dwi Rachmawati, Ro'fah Nur