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Analysis of the Effect of Nicotine on Brain Activity and Function Using FMRI: Implications for Cigarette Dependence Saefullah, Rifki; Hidayana, Rizki; Rusyn, Volodymyr
International Journal of Humanities, Law, and Politics Vol. 2 No. 2 (2024): International Journal of Humanities, Law, and Politics
Publisher : Communication in Research and Publications (CRP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhlp.v2i2.51

Abstract

This study examines the effect of nicotine, the main compound in cigarettes, on brain activity and function using functional Magnetic Resonance Imaging (fMRI). Nicotine influences the release of neurotransmitters such as dopamine and serotonin, which affect various aspects of life, including learning, memory, alertness, and emotional balance. Dependence on nicotine can cause withdrawal symptoms, such as anxiety, depression, and sleep disorders. Neurological research shows differences in brain activity in smokers and non-smokers, especially in the ventral (rostral anterior cingulate cortex, insula, opercular, and occipital gyrus) and dorsal (dorsal medial/lateral prefrontal cortex and dorsal anterior cingulate cortex) areas. Brain disorders are also associated with psychological disorders such as anxiety, depression and compulsive behavior. Apart from that, nicotine use can also affect the dopamine and serotonin systems, resulting in sleep disorders and emotional disorders in cigarette addicts.
Evaluating the Effectiveness of Spreadsheet-Based Instruction on High School Students’ Data Literacy: A Pre-test–Post-test Study Megantara, Tubagus Robbi; Hidayana, Rizki; Nurkholipah, Nenden Siti; Amelia, Rika; Syarifudin, Abdul Gazir
International Journal of Research in Community Services Vol. 7 No. 1 (2026): International Journal of Research in Community Service (IJRCS)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v7i1.1187

Abstract

Data literacy has become an essential competency for students in the digital era, particularly at the secondary education level where foundational numeracy skills are developed. Spreadsheet software such as Microsoft Excel offers an accessible platform for integrating mathematical concepts with practical data analysis and visualization. This study aims to quantitatively evaluate the effectiveness of a spreadsheet-based instructional intervention in improving high school students’ data literacy skills. A quasi-experimental one-group pre-test–post-test design was employed involving 12 senior high school students from SMAS Sebelas Maret, Bandung. The instructional intervention consisted of three integrated modules: Introduction to Excel and Data Literacy, Data Analysis and Logical Functions, and Data Visualization. Students’ competencies were assessed before and after the intervention using a structured test aligned with these modules. Data were analyzed using descriptive statistics, paired-sample t-tests, and effect size estimation (Cohen’s d). The results indicate a statistically significant improvement in overall performance from pre-test to post-test (p < 0.05), accompanied by a large effect size (d = -0.96), demonstrating substantial practical impact. The strongest learning gains were observed in data visualization skills, while data analysis and logical functions showed more moderate improvement. These findings suggest that spreadsheet-based instruction is an effective approach for enhancing data literacy and applied numeracy skills among high school students.