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All Journal Pelita Eksakta Limits: Journal of Mathematics and Its Applications
Vera Maya Santi
UNJ
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics Other

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Effectiveness of Data Visualization Training for Junior and Senior High School Teachers to Improve Scientific Article Writing Competence Vera Maya Santi; Widyanti Rahayu; Ria Arafiyah; Faroh Ladayya; Zahrah Hashifah; Amira Basyila Sarwa; Kinanti Anindia Putri; Siti Fadilah Nurkhotimah; Ayda Syifa Ul Aliyah
Pelita Eksakta Vol 9 No 1 (2026): Pelita Eksakta, Vol. 9, No. 1
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol9-iss1/335

Abstract

This community service program aims to enhance the scientific article writing competence of junior and senior high school teachers in Sukabumi Regency through training on data presentation and visualization using Microsoft Excel with the Data Analysis Add-Ins. The initiative was designed to address teachers’ limited statistical skills, low technological literacy, and challenges in processing and interpreting data for research activities. Conducted online in two sessions, the training included material delivery, software demonstrations, and pre- and post-training assessments. The results indicate a significant improvement in participants’ knowledge, as evidenced by the paired t-test yielding a p-value of 0.00. Thematic analysis of open-ended responses further revealed positive perceptions regarding the training’s relevance, clarity, and usefulness in strengthening statistical understanding. Overall, the program effectively improved teachers’ competencies in data analysis and scientific writing, while participants also expressed the need for more advanced training related to educational media and professional development
Peramalan Tingkat Inflasi di Indonesia Menggunakan Pendekatan Bayesian Vector Autoregressive (BVAR) Widyanti Rahayu; Farah Dhiya Fadilah; Vera Maya Santi
Limits: Journal of Mathematics and Its Applications Vol. 23 No. 2 (2026): Limits: Journal of Mathematics and Its Applications Volume 23 Nomor 2 Edisi Ju
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/limits.v23i2.8608

Abstract

Inflation is a key indicator of a country’s economic stability, influenced by both domestic and global factors, making accurate forecasting essential for effective policy decisions. This study forecasts Indonesia’s inflation rate using the Bayesian Vector Autoregressive (BVAR) approach and compares its performance with the classical Vector Autoregressive (VAR) model. The variables analyzed include the inflation rate, BI Rate, Consumer Price Index (CPI), and USD exchange rate (KURS), with monthly data from January 2010 to December 2024 obtained from Bank Indonesia (BI) and Central Bureau Statistics (BPS). The dataset was divided into 90% training data for model estimation and 10% testing data for accuracy evaluation. VAR parameters were estimated using Maximum Likelihood Estimation (MLE), while BVAR parameters employed the Minnesota prior, enabling analytical posterior derivation. The research findings are expected to contribute to the achievement of the Sustainable Development Goals (SDGs), particularly SDG 8. Forecasting performance was assessed using predictive accuracy metrics. The 18-month forecasts indicate that BVAR outperforms VAR, with Mean Absolute Percentage Error (MAPE) values of 12.43% and 52.18%, respectively. Impulse Response Function (IRF) analysis reveals that inflation responds significantly to short-term shocks in the exchange rate and CPI. Forecast Error Variance Decomposition (FEVD) shows that inflation variability is primarily driven by its own shocks, followed by exchange rate and interest rate fluctuations. These findings demonstrate that the BVAR model with Minnesota prior provides more accurate and stable inflation forecasts than the classical VAR approach, offering valuable insights for monetary policy formulation in Indonesia.
Co-Authors Amira Basyila Sarwa Ayda Syifa Ul Aliyah Farah Dhiya Fadilah Faroh Ladayya Kinanti Anindia Putri Ria Arafiyah Siti Fadilah Nurkhotimah Widyanti Rahayu Widyanti Rahayu Zahrah Hashifah