Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Balance: Jurnal Ekonomi
Simatupang, Magdalena
Unknown Affiliation
Economics, Econometrics & Finance Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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.
Analisis Kadar Nitrogen dan pH Tanah pada Dua Titik Lahan Budidaya Cabai IP2MP Gurgur Kecamatan Tampahan Kabupaten Toba Sumatera Utara Silaban, Tiolina; Spanic, Gebryella; Pasaribu, Gresalla; Anastasya Sihotang, Katrina; Simatupang, Magdalena; Dyah Puspita Sari, Wina
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 Nomor 02, Juni 2026 Public
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.52039

Abstract

This study aimed to analyze and compare total nitrogen levels and soil pH at two chili cultivation sites at the IP2MP Gurgur Experimental Garden, Tampahan District, North Sumatra. Sampling was conducted purposively at two different locations: the center of the field with wilted chili plants and the surrounding area with normally growing plants. Total nitrogen levels were analyzed using the Kjeldahl method, while soil pH was measured using electrometry. The results showed that total nitrogen levels at site 1 were 0.20% (low), while at site 2 they were 0.26% (moderate). The soil pH at site 1 was 7.56 (neutral to slightly alkaline) and at site 2 it was 7.95 (alkaline). These differences in nitrogen levels and soil pH affected chili plant growth, with plants at site 2 showing better growth than those at site 1. Variations in nitrogen levels and soil pH are important factors influencing chili plant growth, necessitating proper soil fertility management to increase land productivity.
Co-Authors Anastasya Sihotang, Katrina Dicky Perwira Ompusunggu Gunawan, Teresia Novita Hutasoit, Bobin Trianko Naufal, Muhammad Jiyad Pasaribu, Gresalla Salsabila, Nur Syifa Silaban, Tiolina Simanullang, Tesalonika Sinaga, Rika Angelina Sitohang, Marwindi Dola Anggia Spanic, Gebryella Wina Dyah Puspita Sari, Wina Dyah