Perancangan Dashboard Berbasis Regresi Linier Berganda Untuk Menganalisis Hubungan Status Gizi,Kehadiran dan Prestasi Belajar Siswa Sekolah Dasar Penerima Program Makan Bergizi (MBG)
Multiple Liniear Regression-Based Dashboard Design To Analyze The Relationship Between Nutritional Status, Attendance, And Learning Achievement Of Elementary School Students Recipienting The Nutritional Meal Program (MBG)
Date
2026Author
Simalango, Taruli Agustina
Advisor(s)
Herianto, Tulus Joseph
Metadata
Show full item recordAbstract
This program was developed to address nutritional issues, particularly
among elementary school children. The Nutritious Meal Program (MBG) aims to
improve the nutritional quality of elementary school students, thereby supporting
their attendance in learning and academic achievement. Good nutritional status
and optimal attendance are considered to be linked to students' ability to
participate in the learning process.
This study aims to determine the effect of nutritional status and attendance
levels on the academic achievement of elementary school students receiving the
Nutritious Meal Program (MBG). This study used a quantitative approach with
multiple linear regression methods. The research data consisted of student
nutritional status, attendance levels, and academic achievement scores. Analysis
was conducted to examine the effect of the independent variables partially and
simultaneously on the dependent variable.
The results of the study, based on simulated data, indicate the existence of
a relationship between nutritional status and attendance level with the learning
achievement of elementary school students who receive the Nutritious Meal
Program (MBG). These findings provide an overview that nutritional factors and
attendance play a role in supporting the achievement of learning outcomes.
Therefore, the results of this study are expected to serve as a reference for schools
and policymakers in evaluating and optimizing the implementation of the
Nutritious Meal Program (MBG) in elementary schools.
Collections
- Diploma Papers [192]
