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All Journal NUMERICAL (Jurnal Matematika dan Pendidikan Matematika) Journal of Applied Mathematics and Modelling
Lilis Harianti Hasibuan
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Computer Science & IT Control & Systems Engineering Engineering Environmental Science Mathematics

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Performance Quantile Regression and Bayesian Quantile Regression in Dealing with Non-normal Errors (Case Study on Simulated Data) Lilis Harianti Hasibuan; Ferra Yanuar; Harahap, Vika Pradinda; Qalbi, Latifatul
Numerical: Jurnal Matematika dan Pendidikan Matematika Vol. 8 No. 2 (2024)
Publisher : Universitas Ma'arif Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/numerical.v8i2.4922

Abstract

This research discusses the performance of quantile regression and Bayesian quantile regression methods. Quantile regression uses parameter estimation by maximizing the value of the likelihood function, while Bayesian quantile regression uses parameter estimation with the Bayesian concept. The Bayesian concept in question looks for solutions from the posterior distribution with Gibbs Sampling. The purpose of the study is to compare the two methods. The data used is simulated data with a total of 100 generated data. The results obtained by the Bayesian quantile regression method are superior to the indicator used MSE with the result of 1.7445. The smallest MSE value is obtained in the model that is in quantile of 0.5
Mapping Evacuation Routes During a Tsunami Using the A* Algorithm Suchyan Hanafi; Ilham Dangu Rianjaya; Lilis Harianti Hasibuan
Journal of Applied Mathematics and Modelling Vol. 1 No. 2 (2025): Journal of Applied Mathematics and Modelling
Publisher : CIB Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64570/jamm.v1i2.55

Abstract

As an archipelago, West Sumatra is prone to tsunamis due to its location between three major tectonic plates. One of the tsunami-prone areas in West Sumatra province is Padang City, specifically Lubuk Buaya Subdistrict, because it borders directly on the sea, an active underwater volcano, and earthquakes on the seabed. To address this issue, the A* algorithm was applied to find evacuation routes from Pasir Jambak. The data used in this study were secondary data in the form of coordinate points and travel distances obtained from Google Earth, which were used in a weighted graph. The results of the study were obtained the shortest evacuation route from the origin point to the nearest destination point with a total distance of 2,751 m (2.7 km).
Co-Authors Harahap, Vika Pradinda Qalbi, Latifatul Rianjaya, Ilham Dangu Suchyan Hanafi Yanuar, Ferra