Ja'faruddin Ja'faruddin
Universitas Negeri Makassar

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Pelatihan Microsoft Word Terintegrasi Mendeley dan Publish or Perish untuk Mahasiswa PKL Nasrullah Nasrullah; Ja'faruddin Ja'faruddin
Jurnal Abdi Bangsa Vol. 2 No. 1 (2026): Volume 2 Nomor 1 Juni 2026
Publisher : Jurnal Abdi Bangsa

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Abstract

This community service activity aims to improve students' knowledge and skills in using Microsoft Word integrated with reference management tools, Mendeley and Publish or Perish, in preparation for Field Work Practice (PKL). The training was attended by 58 students from two study programs, namely Actuarial Science (26 students) and Mathematics (32 students). The implementation method used a hands-on learning approach with case studies based on academic report documents. Evaluation results showed a significant improvement in participants' abilities: 95% of participants experienced an increase in understanding of Microsoft Word advanced features, 88% successfully integrated Mendeley into their writing workflow, and 82% understood the use of Publish or Perish for literature analysis. Overall, 92% of participants stated they were better prepared to compile PKL reports professionally.
Comparison of Support Vector Regression and Random Forest Methods for Rainfall Prediction in Makassar City Ilmadinah Kadir; Wahidah Sanusi; Ja'faruddin Ja'faruddin
Journal of Mathematics, Computations and Statistics Vol. 9 No. 2 (2026): Volume 09 Issue 02 (June 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/Jmathcos12183

Abstract

This study aims to compare the performance of Support Vector Regression (SVR) and Random Forest (RF) methods in predicting daily rainfall in Makassar City and to identify the most influential meteorological factors. The dataset consists of daily climate data from 2019 to 2024, including rainfall as the response variable and temperature, humidity, wind speed, and sunshine duration as predictor variables. Data preprocessing was conducted through missing value imputation, time-series structuring, and normalization using the Z-score method for the SVR model. The SVR model was developed using several kernel functions, including linear, polynomial, radial basis function (RBF), and sigmoid, with hyperparameter tuning performed using grid search and k-fold cross-validation. Meanwhile, the Random Forest model was constructed using bootstrap aggregation and random feature selection, with optimal parameters determined based on the minimum out-of-bag (OOB) error. The results show that the SVR model with the RBF kernel achieved the best performance, with RMSE of 16.52 mm and MAE of 9.01 mm, outperforming the Random Forest model, which produced RMSE of 18.15 mm and MAE of 10.93 mm. Furthermore, feature importance analysis indicates that humidity and temperature are the most dominant variables influencing rainfall. Therefore, the SVR method is more accurate and reliable for rainfall prediction in Makassar City.
Projective Geometry Analysis of the Boyang Traditional House Based on Building Numbering of House Theory Ja'faruddin Ja'faruddin; Alimuddin Tampa; Muh. Ishaq Firdaus; Nur Insani Maiwa
Journal of Mathematics, Computations and Statistics Vol. 9 No. 2 (2026): Volume 09 Issue 02 (June 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/Jmathcos12954

Abstract

This study positions ethnomathematics as a framework for understanding mathematics as an embedded component of cultural practices and indigenous knowledge systems. Indonesia’s rich ethnic diversity provides a wide spectrum of traditional architectural forms containing implicit mathematical structures. This research aims to investigate the architectural structure of the Boyang traditional house through the perspective of projective geometry and House Theory, particularly in the construction of house diagrams, building numbering systems, and the formulation of projective coordinates. The study employed a descriptive qualitative approach by representing one-point, two-point, and three-point perspective views into projective geometric diagrams. The findings reveal that the Boyang house can be classified as a Type IV simple house based on House Theory classification. Furthermore, the resulting building numbers are identified as . The analysis demonstrates that the architectural structure of the Boyang house can be formally modeled within the framework of projective geometry, thereby illustrating the existence of mathematical reasoning embedded in local architectural traditions. These findings contribute to the development of ethnomathematics by strengthening the integration between formal mathematical concepts and cultural heritage studies, while also providing a theoretical foundation for interdisciplinary research in mathematics, architecture, and indigenous cultural studies.