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All Journal JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Abdi Insani
Nisardi, Muhammad Rifki
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics

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PENINGKATAN LITERASI NUMERASI SISWA SEKOLAH DASAR MELALUI METODE GASING: BELAJAR MATEMATIKA DENGAN FUN DAN INTERAKTIF (SD NEGERI 4 PAREPARE) Resky, Aprizal; Nisardi, Muhammad Rifki; Zaitun; Husain, Hartina; Kusnaeni; Raihan M.R, Andi Oxy; Herlambang, Dwicky; Ramadhani, Dewi Citra
Jurnal Abdi Insani Vol 12 No 12 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i12.2732

Abstract

The low level of numeracy literacy among elementary school students in Indonesia poses a significant challenge in mathematics education, as reflected in the 2018 PISA results. This gap is exacerbated by conventional teaching methods that lack concrete media and interactive approaches, making it difficult for students to grasp fundamental concepts. Mathematics anxiety further undermines students’ motivation and learning outcomes. An enjoyable and communicative learning approach is therefore needed to enhance students’ understanding of numeracy concepts effectively and sustainably. This activity aimed to improve the numeracy literacy of fourth-grade students at SD Negeri 4 Parepare through the implementation of the interactive and engaging GASING method, which is easily applicable by teachers in the classroom. The program was carried out in three stages—preparation, implementation, and evaluation—involving 40 fourth-grade students. Activities such as Lari Balon (Balloon Run), Matematika Berantai (Chain Mathematics), and Mathematical Crosswords enhanced students’ motivation, concentration, and teamwork. Evaluation results indicated improved arithmetic skills and understanding of basic mathematical concepts. The Kartini group achieved the highest score with a total of 247 points. Feedback from teachers and students highlighted that the GASING method made learning more enjoyable, reduced mathematics anxiety, and encouraged active student participation. The GASING method proved effective in improving students’ numeracy literacy through a game-based, enjoyable learning approach and is suitable for implementation in other elementary schools.
Application of Kernel Nonparametric Biresponse Regression with the Nadaraya-Watson Estimator in Poverty Analysis in South Sulawesi Husain, Hartina; Nisardi, Muhammad Rifki; Sasolo, Ryo Hartawan
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 1 (2026): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i1.33543

Abstract

Poverty is a complex social issue that requires in-depth analysis to identify its contributing factors. South Sulawesi, as one of the provinces in Indonesia, continues to face various challenges in poverty alleviation. This study is a quantitative research that aims to model the poverty rate and poverty severity index using a biresponse nonparametric kernel regression with the Nadaraya-Watson estimator and Gaussian kernel function. The analysis is based on 2024 data form the Central Bureau of Statistics (BPS), which includes poverty indicators as response variables and socio-economic factors, processed using R Studio 2025. The nonparametric biresponse kernel regression analysis yielded optimal bandwidths of h_1=0,188; h_2=0,083; h_3=0,159; and h_4=0,028. Model accuracy is demonstrated by a Generalized Cross-Validation (GCV) value of 5.515 and a Mean Squared Error (MSE) of 0.585, indicating high stability and low prediction error. The model demonstrates adaptive accuracy in simultaneously modeling the two response variables and highlights the strength of kernel-based biresponse regression as an evidence-based tool for policymakers to design targeted, region-specific poverty alleviation strategies.
Co-Authors Herlambang, Dwicky Husain, Hartina Kusnaeni Raihan M.R, Andi Oxy Ramadhani, Dewi Citra Resky, Aprizal Sasolo, Ryo Hartawan Zaitun