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All Journal Jurnal Pengabdian Masyarakat Bangsa Balance: Jurnal Ekonomi
Salsabila, Nur Syifa
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Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Energy Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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Edukasi Penggunaan Sunscreen pada Siswa MAN 2 Barito Kuala Miranti, Rizka Mulya; Salsabila, Nur Syifa; Norhikmah, Norhikmah; Nurma, Nurma
Jurnal Pengabdian Masyarakat Bangsa Vol. 1 No. 11 (2024): Januari
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v1i11.653

Abstract

Indonesia terletak digaris khatulistiwa dan beriklim tropis sehingga memiliki intensitas paparan matahari yang tinggi. Paparan sinar matahari dapat merusak kulit karena adanya sinar ultraviolet. Efek buruk sinar matahari diperkuat dengan adanya perubahan iklim berupa pemanasan global sehingga diperlukan upaya untuk melindungi kulit dengan menggunakan sunscreen namun belum banyak masyarakat yang menyadari pentingnya penggunaan sunscreen. Edukasi ini bertujuan untuk meningkatkan pengetahuan siswa MAN 2 Barito Kuala tentang pentingnya penggunaan sunscreen dan cara penggunaan sunscreen yang benar untuk melindungi kesehatan kulit. Kegiatan ini berupa penyuluhan yang diikuti oleh 30 siswa dengan penyampaian materi dan demonstrasi cara menggunakan sunscreen yang benar. Hasil pretest dan postest dengan menggunakan kuisioner menunjukan peningkatan pengetahuan siswa dan hasil survei kepuasan menunjukan 62,67% sangat puas dan 27,67% merasa puas dengan kegiatan ini.
A Theoretical Study of Multicollinearity and Linearity in Econometric Models for Economic Research Naufal, Muhammad Jiyad; Ompusunggu, Dicky Perwira; Sinaga, Rika Angelina; Sitohang, Marwindi Dola Anggia; Gunawan, Teresia Novita; Simatupang, Magdalena; Salsabila, Nur Syifa; Simanullang, Tesalonika; Hutasoit, Bobin Trianko
Jurnal Ekonomi Balance Vol. 21 No. 1 (2025): June 2025
Publisher : Perpustakaan dan Penerbitan Unismuh Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jeb.v21i1.17031

Abstract

Multiple linear regression is a central analytical tool in econometric research used to model the relationship between a dependent variable and multiple independent variables. However, the accuracy and validity of such models are highly dependent on classical assumptions, particularly multicollinearity and linearity. Multicollinearity, characterized by high correlations among predictor variables, can inflate standard errors and obscure the true effects of individual variables. Linearity, meanwhile, ensures that the relationships between variables follow a straight-line pattern, which is essential for valid estimation and inference. This theoretical study aims to deepen the understanding of both assumptions, explore their causes, impacts, and identify methodological approaches for detection and correction. Employing a descriptive literature review method, the study synthesizes insights from contemporary econometric research to provide a conceptual framework for handling these issues. Key findings highlight that multicollinearity often arises from overlapping variables, small samples, and measurement errors, and can be addressed through variable elimination, transformation, or penalized regression techniques such as ridge and lasso regression. Linearity violations, frequently resulting from model misspecification or temporal dependencies, may be mitigated using data transformations, polynomial regression, or robust regression approaches. The study concludes that proper diagnostic tools and corrective strategies are essential for improving model reliability and enhancing the credibility of econometric findings in economic research.
Co-Authors Dicky Perwira Ompusunggu Gunawan, Teresia Novita Hutasoit, Bobin Trianko Naufal, Muhammad Jiyad Norhikmah Norhikmah Nurma, Nurma Rizka Mulya Miranti Simanullang, Tesalonika Simatupang, Magdalena Sinaga, Rika Angelina Sitohang, Marwindi Dola Anggia