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All Journal Cakrawala Pendidikan MaPan : Jurnal Matematika dan Pembelajaran Journal of Natural Science and Integration Numeracy : Jurnal Ilmiah Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Equals : Jurnal Ilmiah Pendidikan Matematika J-PiMat : Jurnal Pendidikan Matematika Jurnal Inovasi Penelitian dan Pengabdian Masyarakat Pedagogy : Jurnal Pendidikan Matematika
Setyawati, Maunah
Universitas Islam Negeri Sunan Ampel Surabaya
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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THE GENERALIZED SPACE-TIME ARIMA (GSTARIMA) MODEL FOR PREDICTING NITROGEN MONOXIDE TO MITIGATE EID AL- FITR AIR POLLUTION IN SURABAYA Khaulasari, Hani; Rini Novitasari, Dian Candra; Setyawati, Maunah; Maulana, Jeneiro; Mohd Fauzi, Shukor Sanim
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0069-0086

Abstract

Air quality is a crucial factor due to its significant impact on environmental sustainability and public health. One of the major pollutants affecting air quality is Nitrogen Monoxide (NO), especially during periods of increased human mobility such as Eid al-Fitr. Monitoring and predicting NO levels are essential for early mitigation efforts. This study aims to evaluate the performance of the Generalized Space-Time Autoregressive Integrated Moving Average (GSTARIMA) model with three types of spatial weighting schemes and compare it with other forecasting methods, namely ARIMA, VARIMA, and Support Vector Regression (SVR), in predicting NO concentrations in Surabaya for April 2024. The data used in this study consist of daily NO concentration measurements obtained from the Surabaya City Environment Agency’s monitoring stations located at SPKU Tandes, SPKU Wonorejo, and SPKU Kebonsari, covering the period from January 2023 to March 2024. The GSTARIMA model was selected for its capability to capture both spatial and temporal dependencies across monitoring locations. As an extension of the ARIMA model, GSTARIMA incorporates spatial weight matrices to model spatial heterogeneity. Parameter estimation was conducted using the Ordinary Least Squares (OLS) method. The results indicate that the GSTARIMA model with Inverse Distance Weighting (IDW) and order (3,1,0)₁ in the first spatial order yields the most accurate predictions, outperforming ARIMA, VARIMA, and SVR models. The model produced the lowest Symmetric Mean Absolute Percentage Error (sMAPE) of 0.93% and Root Mean Square Error (RMSE) of 5.32. A notable spike in NO concentrations was observed between April 23 and 25, 2024, coinciding with the post-Eid al-Fitr return flow, indicating a surge in population mobility.
The effectiveness of training and mentoring in developing ethnomathematicsbased numeracy questions on students' assessment abilities Setyawati, Maunah; Kurniawan, Agus Prasetyo; Arrifadah, Yuni
Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Vol 11 No 2 (2025): Jurnal Math Educator Nusantara
Publisher : Program Studi Pendidikan Matematika, Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jmen.v11i2.24881

Abstract

Mathematics Education students at UIN Sunan Ampel Surabaya, as future mathematics teachers, are required to possess comprehensive competencies to become professional educators. One of these is numeracy competency, which is essential for solving various problems in everyday life. This study aims to describe the effectiveness of training and mentoring in developing ethnomathematics-based numeracy questions among Mathematics Education students, viewed from pedagogical competency standards. Data were collected using tests administered before and after the training and mentoring. The instruments used were test sheets and assessment rubrics to evaluate students’ ability to create ethnomathematics-based numeracy questions based on pedagogical competency standards. The effectiveness of the training and mentoring was determined by analyzing the results of the students’ question development and through statistical analysis using the Paired Sample T-Test. The results showed an increase in the percentage of each indicator of the pedagogical competency standard, and the Paired Sample T-Test obtained a p-value < 0.05, indicating that the development of ethnomathematics-based numeracy questions after training and mentoring was better than before.
Co-Authors Afifah, Hanaa Rohmatul Agus Prasetyo Kurniawan, Agus Prasetyo Ahmad Lubab, Ahmad Auliyah, Arifah Himmatul Enkas, Muhamad Diviorico Habsanul Aisyah Hani Khaulasari Heri Kiswanto Hidayah, Nadiyah Lailatul Inayah, Nailil Indratno, Dwi Indriani, Nina Kusaeri Kusaeri Luklua, Asda Ikrima Maulana, Jeneiro Mohd Fauzi, Shukor Sanim Muhammad Nuril Huda Muthi, Abd. Normalasari, Rita Pitaloka, Nanda Ayu Rey S, Shizukana Desurya Sari, Dian Candra Rini Novita Sa’adah, Aliyatus Sihhatul Hayat Siti Lailiyah Siti Lailiyah, Siti Siti Urifah Yuni Arrifadah, Yuni