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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Inferensi Jurnal Statistika dan Komputasi (STATKOM) Jurnal Pendidikan Matematika
Idrus Syahzaqi
Department Of Mathematics, Faculty Of Science And Technology, Universitas Airlangga, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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MODELING AND SEGMENTATION OF FACTORS AFFECTING HUMAN DEVELOPMENT IN ISLANDS OF JAVA USING FIMIX PLS METHOD WITH MEDIATION EFFECT Az Zuhro, Muhammad Rosyid Ridho; Kurniawan, Ardi; Amelia, Dita; Syahzaqi, Idrus
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/barekengvol20iss1pp0397-0412

Abstract

Human development is a key indicator used to assess the quality of a country's human resources. Although Indonesia's HDI has experienced a significant increase of 75.02 in 2024, inequality is still a pressing issue, especially in terms of gender representation in the workforce. This study aims to identify the influence of poverty, economic, health, employment and education factors on human development in Java Island by considering gender equality as a mediating variable. The data used in the study is limited to 119 districts/cities in Java Island and sourced from BPS publications, the Health Office and the Education Office. The novelty of this study lies in the use of the Finite Mixture Partial Least Square (FIMIX-PLS) approach with mediation effects which is rarely applied in human development research in Indonesia, as well as allowing the identification of latent population heterogeneity and region-based segmentation. The results of this method reveal two distinct district/city segments in Java, with Segment 1 dominated by the variables in this study that have significant direct and indirect effects through the mediation of gender equality on human development, while Segment 2 has characteristics that emphasize the effect of gender equality. Given these differences in characteristics, it is important that contextual and regional segmentation-based development policies are designed by local and central governments. Statistical segmentation approaches such as FIMIX-PLS make a significant contribution to more targeted policy making. By changing the type of intervention according to specific problems, the government can allocate resources more effectively. This supports the achievement of SDG-10 in reducing inequality.
Analysis of Student Learning Outcomes on Polynomial Topic in Grade XI During the Teaching Assistance Program Syahzaqi, Idrus; Gunawan, Syifa
Jurnal Pendidikan Matematika Vol. 3 No. 1 (2025): November
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ppm.v3i1.2281

Abstract

This study aims to analyze students’ learning outcomes on the polynomial topic during the Teaching Assistance Program conducted in Grade XI. As polynomials represent a foundational concept in upper secondary mathematics, understanding students’ performance provides valuable insights into the effectiveness of instructional practices. This descriptive quantitative research analyzed daily assessment scores from 33 students using statistical measures including minimum, maximum, mean, median, mode, range, and standard deviation. The findings show a moderate performance with an average score of 67.7, a median of 70, and a standard deviation of 7.7. A total of 54.5% of students achieved the minimum mastery criterion, while 45.5% did not, indicating a substantial variation in conceptual understanding. The score distribution also demonstrated clustering around the 68–72 range, suggesting that many students possessed partial comprehension but struggled with deeper algebraic reasoning. These results highlight the need for differentiated instruction, scaffolded learning, and improved feedback mechanisms. The Teaching Assistance Program contributed significantly to the reflective development of teaching skills and provided authentic classroom experience for the pre-service teacher. Overall, this study emphasizes the importance of varied teaching approaches to enhance student mastery of polynomial concepts.
Air Temperature Prediction in Sleman Yogyakarta using Fourier Series and Markov Switching Syahzaqi, Idrus; Riefky, Muhammad; Cahyoko, Fajar Dwi; Nahar, Muhammad Hafidzuddin; Pratama, Fachriza Yosa; Mardianto, Muhammad Fariz Fadillah
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i2.35371

Abstract

Global warming increases the urgency of accurate local temperature forecasting, particularly in Sleman, Yogyakarta, a region characterized by diverse topography and high exposure to climate-related risks such as volcanic activity, agricultural vulnerability, and rapid urbanization. Such conditions increase the urgency for localized predictive models that can support agricultural planning, energy management, and disaster preparedness. This research used quantitative approach with a comparative predictive modelling design to predict the weekly average air temperature in Sleman by comparing two models: the Fourier Series regression and the Markov Switching Autoregressive (MSAR) model. The Fourier Series was selected for its ability to capture smooth seasonal and periodic behavior typical of climatological data, whereas the MSAR model was employed to accommodate regime shifts and nonlinear structural variations. The dataset comprises 127 weekly observations from January 2023 to June 2025 (BMKG), the data were split into 70% training and 30% testing. Model performance was assessed using GCV, MSE, MAE, MAPE, and residual diagnostics. Results show that the Fourier Series model performs substantially better, achieving lower GCV (0.3520), MSE (0.00415 training; 0.00114 testing), and MAE (0.34015 training; 0.12940 testing), as well as lower MAPE (1.26% training; 0.47% testing). In contrast, the MSAR model yields higher errors with GCV (0.5747), MSE (0.9113 training; 0.4686 testing), MAE (0.8005 training; 0.5512 testing), and MAPE (1.96% training; 1.34% testing). These results indicate that Sleman’s temperature dynamics characterized by stable oscillatory patterns with minimal regime shifts are more effectively captured through harmonic decomposition. The study reinforces the importance of periodic modeling for mixed-topography regions like Sleman and recommends future research integrating additional climatic variables, hybrid statistical–machine-learning frameworks, and longer time spans to improve responsiveness to extreme events and nonlinear atmospheric behavior.
Co-Authors Ahsan, Muhammad Al Hasri, Ilham Andriani, Putu Eka Anggakusuma, Aurellia Calista Ardi Kurniawan Az Zuhro, Muhammad Rosyid Ridho Cahyoko, Fajar Dwi Dita Amelia, Dita Dyaksa, Mega Kurnia Effendi, Magdalena Fithriasari, Kartika Ghasani, Anisah Nabilah Gunawan, Syifa Hani Brilianti Rochmanto Heri Kuswanto Ibrahim, Auron Saka Mardianto, Muhammad Fariz Fadillah Miranda, Ariadna Sopia muhammad mashuri Nahar, Muhammad Hafidzuddin Nilasari, Inas Oktavia, Sabrina Salsa Pratama, Fachriza Yosa Rahmawati, Hasri Riefky, Muhammad Rosyadi, Niam Salman Alfarizi Pradana Andikaputra Sediono, Sediono Sihotang, Raja Van Den Bosch Syarif, Devi Mufidah Vionita, Anggi Triya Wahyu Subekti, Cahya Arsyika Wieldyanisa, Ezha Easyfa