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All Journal NUMERICAL (Jurnal Matematika dan Pendidikan Matematika) Bakti Cendana: Jurnal Pengabdian Masyarakat
Qalbi, Latifatul
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Education Environmental Science Mathematics Nursing Social Sciences

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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
Study Camp Based Computational Thinking Assistance to Improve Mathematical Literacy at Madrasah Tsanawiyah, Padang City Hasibuan, Lilis Harianti; Mailisa Putri, Darvi; Royani, Ida; Susanti, Lisa; Qalbi, Latifatul
Bakti Cendana Vol 9 No 1 (2026): Bakti Cendana: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/bc.v9i1.9667

Abstract

Literacy is an essential competency in responding to rapid technological advancements. Mathematical literacy enables students to understand, analyze, and apply mathematical concepts in various real-life contexts. This community service program aimed to strengthen students’ mathematical literacy through computational thinking assistance implemented in a study camp format. The activity adopted a Community-Based Research (CBR) model consisting of four stages: laying the foundation, planning, information gathering and analysis, and acting on findings. The study camp was conducted in a laboratory setting, beginning with the introduction of basic programming concepts and continuing with computational thinking exercises integrated into mathematical literacy problems. This approach is expected to foster students’ critical thinking skills and enhance their mathematical competencies through interactive and technology-based learning experiences.
Co-Authors Harahap, Vika Pradinda Hasibuan, Lilis Harianti Ida Royani Lilis Harianti Hasibuan Lisa Susanti, Lisa Mailisa Putri, Darvi Yanuar, Ferra