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Persepsi Siswa terhadap Lembar Kegiatan Siswa Berbasis Mind Mapping pada Mata Pelajaran IPA terpadu Materi Tekanan Zat Cair Fitriyani Fitriyani
Schrödinger: Journal of Physics Education Vol. 3 No. 1 (2022): March
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (166.718 KB) | DOI: 10.37251/sjpe.v3i1.485

Abstract

Tujuan Penelitian: Mengetahui persepsi siswa terhadap rancangan lembar kegiatan siswa berbasis mind mapping pada mata pelajaran IPA Terpadu materi tekanan zat cair yang layak dan valid digunakan. Metodologi: Penelitian yang dilakukan adalah penelitian dan pengembangan atau dalam bahasa inggris disebut Research and Development dengan Four-D model. Temuan Utama: Persepsi siswa terhadap aspek desain pembelajaran 86,4 (setuju), aspek materi 90,7 (setuju), aspek keterbacaan LKS 90,7 (setuju), dan aspek visualisasi LKS 91,5 (setuju). Keterbaruan/Keaslian dari Penelitian: mengembangkan lembar kegiatan siswa berbasis mind mapping dan mengetahui persepsi siswa terhadap lembar kerja tersebut.
PENERAPAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION PADA TINGKAT PENCEMARAN AIR BERDASARKAN TOTAL COLIFORM DI PROVINSI JAMBI Fitriyani Fitriyani; Sherli Yurinanda; Cut Multahadah
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 1 (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.v4i1.305

Abstract

The purpose of this study is to obtain a local estimation model formed by considering spatial factors on the level of water pollution based on total coliforms in Jambi Province and can determine the most dominant factors affecting the total coliform water of PDAM Districts / Municipalities in Jambi Province using Geographically Weighted Regression (GWR) analysis. The type of data used in this study is primary data in quantitative form. This primary data was obtained by taking PDAM water samples directly in 9 regencies/cities in Jambi Province. The results of GWR analysis show that the dominant factors affecting the total coliform of PDAM water in each district/city in Jambi Province vary with different estimated parameters. The best model formed is a model with the GWR method, the adaptive bisquare weighting function which is shown from the value of the model's goodness criteria, namely the smallest AIC value and the largest coefficient of determination
Markov Chain Analysis in Predicting Consumer Price Index for the Food, Beverage and Tobacco Sector in Jambi City gusmi kholijah; Fitriyani Fitriyani
JURNAL SINTAK Vol. 2 No. 1 (2023): SEPTEMBER 2023
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Consumer Price Index (CPI) is an economic indicator that can provide information regarding developments in prices of goods/services. CPI is one of the factors that can measure inflation. According to the information provided, inflation pressure is influenced by the food, beverage and tobacco sectors and is one of the mainstays in providing a major contribution to economic growth. Every month the CPI can increase or decrease so data from previous times is used to see predictions for the present so time series data is used. Prediction of CPI time series data can use one of the mathematical techniques, namely Markov chain analysis. Markov chain is a method that studies the properties of a variable in the present in an effort to estimate the properties of the same variable in the future, therefore Markov chain analysis is suitable for use in predicting CPI. In this research, it was applied to CPI data for January 2018 to June 2022. After conducting the analysis, it was concluded that in the following months the opportunity for CPI in categories above the basic price was greater than the opportunity above the basic price. So it is hoped that the results of this analysis can help the government stabilize the CPI in the Food, Miniman and Tobacco sectors