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Classification of weather events in Lahat regency using the K-Nearest Neighbor method Kresnawati, Endang Sri; Resti, Yulia; Eliyati, Ning; Zayanti, Des Alwine; Dewi, Novi Rustiana; Yani, Irsyadi
Bulletin of Applied Mathematics and Mathematics Education Vol. 5 No. 2 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bamme.v5i2.14613

Abstract

Weather event classification in a region is very important for various purposes, such as in the fields of transportation, health, agriculture, and others. Lahat has varying land elevations ranging from 26-106 meters above sea level in the East Merapi sub-district to 341-3032 meters above sea level in the Tanjung Sakti Pumi sub-district. It greatly affects local temperature, rainfall, and atmospheric pressure, which in turn affects the distribution of weather patterns and disasters such as floods. KNN is a prediction method that uses the concept of distance for a number of k nearest observations in determining the similarity between observations. Several metrics can be used for this prediction purpose. This study aims to predict weather events in Lahat Regency using the KNN method with several different distance metrics and then compare them to obtain the performance of the KNN prediction method. The results show that the Euclidean distance metric used in the KNN method has a better performance measurement, followed by the Manhattan and Minkowski metrics. In the Euclidean metric, the accuracy, precision, recall, f1-score, AUC, and MC value are 92.69%, 88.21%, 85.81%, 86.99%, 88.99%, and 76.37%, respectively.
A CRITICAL SYNTHESIS OF MONETARY POLICY TRANSMISSION, FISCAL MIX, AND REAL SECTOR VOLATILITY: A MULTIDIMENSIONAL REVIEW Ramadhan, Rizky; Resnawati, Resnawati; Abrori Amin, Fijar
Edunomika Journal : Studies In Education And Development Economics Vol. 1 No. 2 (2026): Edunomika Journal: Studies in Education and Development Economics
Publisher : Magister Program Studi Pendidikan Ekonomi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/edunomika.v1i2.57614

Abstract

This article aims to synthesize the dynamics of macroeconomic policy transmission through a multidimensional review of the interactions between monetary policy, the fiscal mix, and real sector volatility. Using a systematic critical review approach, this study extracts and evaluates selected scientific literature from 2012 to 2025. The synthesis results show that modern economic stability can no longer be achieved linearly through a single monetary instrument; its effectiveness relies heavily on close coordination with the fiscal mix. Furthermore, the transmission mechanism is shown to operate asymmetrically, with policy effects largely dictated by heterogeneity in household liquidity and debt, financial sector frictions, global spillover turbulence, and the stabilizing role of dual monetary systems (conventional and Islamic) in developing countries. The novelty of this study lies in its integrated mapping, which reveals the weaknesses of linear assumptions in traditional macroeconomic models while highlighting the vulnerabilities of micro-sectoral entities. The implications of this research provide an important contribution to the development of economics and economic education. Academically, these findings encourage the renewal of macroeconomic education curricula, shifting from teaching static equilibrium models to a dynamic economic paradigm that accommodates asymmetry and non-linearity. Practically, this study provides a basis for authorities to design an inclusive policy architecture (policy mix) to protect the real sector from global shocks
Peningkatan Literasi Matematika Melalui Koding Perhitungan Excel Pada Siswa SMPN 5 Di Desa Tanjung Baru Kabupaten Ogan Ilir: Enhancing Mathematical Literacy Through Excel-Based Computational Coding for Junior High School Students in Tanjung Baru Village, Ogan Ilir Regency Hanum, Herlina; Kresnawati, Endang Sri; Yama Otantia P, Soya Febeauty; Setyawan, Dwi
Jurnal Hilirisasi IPTEKS Vol. 9 No. 2 (2026)
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jhi.v9i2.943

Abstract

Mathematical and language literacy are fundamental competencies that support students' learning across various disciplines. One effective approach to enhancing mathematical literacy is the use of mathematical coding through spreadsheet software such as Microsoft Excel. This community engagement program aimed to improve the mathematical literacy and Excel-based coding skills of students at Junior High School 5 North Indralaya, Ogan Ilir Regency, Indonesia. The program was implemented through training and mentoring sessions conducted in the school's computer laboratory, involving 32 students who shared 16 computers. Students learned to apply Excel formulas and functions to solve mathematical problems. The training consisted of three sessions, each lasting two instructional hours, covering basic arithmetic, plane and solid geometry, and introductory statistics. Although the participants had not formally studied statistics, they successfully used Excel formulas to calculate the mean, median, mode, maximum, and minimum values. Program effectiveness was evaluated using pre-test and post-test assessments. The results demonstrated significant improvements in both mathematical literacy and Excel-based coding skills. All students showed better mathematical performance, as indicated by the increased number of correct answers across all mathematical problems. Coding proficiency also improved substantially; while only two students correctly answered the Excel coding questions in the pre-test, all participants answered them correctly in the post-test. These findings indicate that Excel-based mathematical coding is an effective instructional approach for strengthening mathematical literacy, computational thinking, and digital skills among junior high school students.