Article Per Year (5 Year)
p-Index From 2020 - 2025
2.266
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Kedokteran Wijaya Kusuma Jurnal Wiyata : Penelitian Sains dan Kesehatan Unisda Journal of Mathematics and Computer Science (UJMC) GUYUB: Journal of Community Engagement Jurnal Promotif Preventif Jurnal Kesehatan Tambusai AKSELERASI: Jurnal Ilmiah Nasional JOURNAL OF COMMUNITY ENGAGEMENT AND EMPOWERMENT JENGGALA: Jurnal Riset Pengembangan dan Pelayanan Kesehatan Jurnal Pengabdian Masyarakat SAPANGAMBEI MANOKTOK HITEI
Dianti Ias Oktaviasari, Dianti Ias
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Unisda Journal of Mathematics and Computer Science (UJMC)

 1 
Analisis Data Hubungan Antar Variabel Pada Pengetahuan Swamedikasi Mustofani, Dian; Hariyani, Hariyani; Afif, Ahmad; Oktaviasari, Dianti Ias; Ariadhita, Bagus Yuli
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.6701

Abstract

Linear regression is a data analysis method that is for determine relation on the variables. One of the uses of this analysis is that can used to determine which independent variable policies should be increased or decreased. Regression analysis has two types, that is name simple linear regression analysis and multiple linear regression analysis. This research discusses the use of multiple linear regression analysis to determine which independent variables influence mothers' self-medication knowledge in treating fever in children, with known three independent variables and one dependent variable. The regression analysis in this research shows that the mother's education level has an influence on self-medication knowledge with a percentage influence value of 27.9%.
Co-Authors Agustin, Amelda Linda Ahmad Afif Ainsyah, Rachmah Wahyu Aprilya, Amanda Putri Ardila, Ninda Mulya Ike Ariadhita, Bagus Yuli Dadiek Sumardianto, Dadiek Devitasari, Ferina Dimas Prasetianto Wicaksono Emy Susanti Endah Retnani Wismaningsih, Endah Retnani Fatria, Anindia Diva Putri Fithriasari, Mariatul Hariyani Hariyani, Hariyani Hidayat, Andra Dwitama Indah Susilowati Krisnita Dwi Jayanti, Krisnita Dwi Kurniasari, Mia Ashari Mayhimamia, Arrsillaufiatma Mustofani, Dian Pramesti, Galuh Sekar Purwantaris, Pinda Duana Wahyu Putri, Almira Maudy Sukmaning Ratna Frenty Nurkhalim Reny Nugraheni Satiti Kuntari, Satiti Sri Nurcahyati Suhartono, David Raditya Tri Ana Mulyati, Tri Ana Tuti Budirahayu Urbaningrum, Nafa Vivien Dwi Purnamasari Yanuar Eka Pujiastutik Zuliana, Ni’matu