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All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika
Defi Yusti Faidah
Universitas Padjadjaran
Decision Sciences, Operations Research & Management Education Mathematics

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ANALISIS EFEKTIVITAS PEMBELAJARAN DARING DAN LURING PADA ERA ENDEMIK COVID-19 Defi Yusti Faidah; Nathanael Mareo Liatna; Anugrah Aidil Fitria; Refaldo Richkolas Philadelphia
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.420

Abstract

The COVID-19 pandemic has brought significant changes, particularly in the education sector. Since the onset of the pandemic, closure policies and social restrictions have forced many educational institutions to find alternative solutions to keep learning going. During the COVID-19 pandemic period, the learning method used is online media. This refers to the practice of distance learning implemented to maintain social distance and reduce the spread of the virus. Online and offline learning have their own advantages and disadvantages. The purpose of this study is to determine the difference in effectiveness between online and offline learning using nonparametric statistical methods. The result of Mann-Whitney test can be concluded that there is a difference in effectiveness between online and offline learning. Chi-Square test shows that there is a relationship between learning process and understanding lecture material, interacting with lecturers and learning motivation. However, a relationship does not exist between the learning process and students' time management
OPTIMALISASI STRATEGI PENGELOMPOKKAN POTENSI PADI SEBAGAI SOLUSI EFEKTIF KELANGKAAN BERAS DI JAWA BARAT Defi Yusti Faidah; Ashilla Maula Hudzaifa; Nadine Theresia; Carissa Egytia Widiantoro
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.592

Abstract

Food security is a crucial issue for Indonesia, especially with the increasing threat of climate change. Focusing on rice production, this study analyses the mapping of districts/cities in West Java based on area harvested, rice production, and number of farm households using the Gaussian Mixture Model (GMM). GMM was chosen because it can overcome ambiguous data and has a large variance value. By using GMM, it is expected to find patterns or useful information from rice production data in West Java. Based on the results obtained, it can be seen that the best model is VEV with 5 clusters. Cluster 1 has characteristics of rice area, rice production, and number of farm households that are classified as low. The members of cluster 1 are Bogor, Sukabumi, Bandung, Ciamis, Kuningan, Sumedang, Purwakarta, West Bandung and Pangandaran. The results of this study are expected to help optimise rice production to meet food needs, reduce dependence on rice imports, and ultimately improve food security in Indonesia
Co-Authors Anugrah Aidil Fitria Ashilla Maula Hudzaifa Carissa Egytia Widiantoro Nadine Theresia Nathanael Mareo Liatna Refaldo Richkolas Philadelphia