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Internalisasi Nilai Toleransi dalam Pembelajaran Matematika di Tingkat Dasar M Wahib; Isro'il, Ahmad; Maghfirotun, Khubni
IBTIDA' Vol. 5 No. 1 (2024): IBTIDA' APRIL 2024
Publisher : FAKULTAS AGAMA ISLAM UNIVERSITAS BILLFATH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37850/ibtida'.v5i1.606

Abstract

The value of tolerance is important to be instilled in students since an elementary level because tolerance is one of the basic values ​​contained in religious teachings. However, there has been no research that examines the internalization of tolerance values, especially in mathematics learning at the elementary level. This research aims to internalize the value of tolerance in mathematics learning at the elementary level. This research is a literature study research. The results of this research are alternatives that can be carried out in internalizing the value of tolerance in mathematics learning at the elementary level through positive negative symbols and block volumes. This can be analogous to an attitude of mutual respect and respect for differences in opinions, beliefs or views. By providing concrete examples of mathematical concepts that can be analogous to the value of tolerance, teachers can help students understand and internalize the value of tolerance. So that through learning mathematics teachers can instill the values ​​of tolerance in learning.
PERBANDINGAN TRANSFORMASI WAVELET DISKRIT UNTUK DENOISING CITRA MENGGUNAKAN VISUSHRINK, BAYESSHRINK, DAN NORMALSHRINK Umam, Ahmad Khairul; Ngastiti, Pukky Tetralian Bantining; Isro'il, Ahmad; Wahyuni, Zuanita May Tri; Alfiani, Faradillah Siska
MATHunesa: Jurnal Ilmiah Matematika Vol. 12 No. 2 (2024)
Publisher : Universitas Negeri Surabaya

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Abstract

Wavelet topics can be applied for image denoising. Wavelet transform is divided into discrete wavelet transform and continuous wavelet transform. Discrete wavelet transform is useful for image denoising, image compression, etc. In this research, we discuss image denoising using wavelets with hard thresholding and soft thresholding. We will also compare results of image denoising using VisuShrink, BayesShrink, and NormalShrink in determining threshold value. In this research, we use grayscale test image with size pixels. To measure algorithm, peak signal to noise ratio (PSNR) value is used. Image denoising uses hard thresholding: PSNR values of Haar, Daubechies 7, and biorthogonal 3.5 wavelets are same for three methods (VisuShrink, BayesShrink, NormalShrink). PSNR value of symlets 11 wavelet is highest for VisuShrink and NormalShrink methods. Whereas, PSNR value of coiflets 3 wavelet is highest for VisuShrink method. Fastest computing times of Haar, Daubechies 7, biorthogonal 3.5, and symlets 11 wavelets are for VisuShrink method. Whereas, fastest computing time of coiflets 3 wavelet is for NormalShrink method. Image denoising using soft threshoding: PSNR values of Haar, Daubechies 7, biorthogonal 3.5, and coiflets 3 wavelets are same for three methods (VisuShrink, BayesShrink, NormalShrink). Whereas, PSNR value of symlets 11 wavelet is highest for VisuShrink and BayesShrink methods. Fastest computing times of all wavelets (Haar, Daubechies 7, biorthogonal 3.5, symlets 11, and coiflets 3) are for NormalShrink method.
KAJIAN TEOREMA TITIK TETAP DI RUANG B-METRIK YANG DIPERPANJANG Umam, Ahmad Khairul; Alfan, Aris; Isro'il, Ahmad; Shahadah, Zaqiyatus; Muamalah, Amanda Fatma
MATHunesa: Jurnal Ilmiah Matematika Vol. 12 No. 2 (2024)
Publisher : Universitas Negeri Surabaya

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Abstract

This research gives more explaination in proof of theorem. The theorem is about existence and uniqueness a point is called fixed point in an extended b-metric space. Beside that, also we give example about extended b-metric space.
PERAMALAN TINGKAT PENGANGGURAN DI KOTA LAMONGAN MENGGUNAKAN METODE PEMULUSAN EKSPONENSIAL GANDA BROWN Rosidah, Kamilatur; alfan, Aris; Isro'il, Ahmad
MATHunesa: Jurnal Ilmiah Matematika Vol. 12 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v12n3.p569-578

Abstract

Forecasting is a method in statistics that aims to estimate or predict a condition in the future. The results of forecasting can be used as a reference or indicator in predicting conditions at the next time. This research was carried out by predicting the unemployment rate in the city of Lamongan for the next period, using the Brown double exponential smoothing method based on data from 2001 to 2023. The forecasting accuracy method used in forecasting unemployment is Mean Absolute Percentage Error (MAPE) for calculate the percentage error for each ? parameter value. From the research results, the best ? parameter value was obtained for forecasting the unemployment rate in the city of Lamongan in the future by obtaining the smallest MAPE value chosen by trial and error.
FORECASTING RICE PRODUCTION WITH THE HOLT-WINTERS EXPONENTIAL SMOOTHING METHOD Salamah, Nur; Intahaya, Ari Maulidah; Alfiani, Faradillah Siska; Ummah, Hidayatul; Fadhlia, Zahrotul Wardah; Isro'il, Ahmad
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 1 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i1pp141-152

Abstract

This study aims to forecast rice production in East Java using the Holt-Winters Exponential Smoothing method which can be used to view data with seasonal and trend patterns. The rice production data used in this study comes from the Central Bureau of Statistics (BPS) which includes production data for the last five years. The results of the analysis show that this method provides a sufficient level of accuracy in forecasting and is also effective in providing estimates of rice production as well as assisting in strategic decision-making on the management of the agricultural sector and food security.