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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.
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.