Analisis Faktor-Faktor yang mempengaruhi Indeks Pembangunan Manusia (IPM) di Sumatera Utara

The Human Development Index (HDI) measures human development achievements based on a number of basic components of quality of life. The research aims to see the influence of Expected Years of Schooling, Per Capita Expenditure and Percentage of Poor Population on the Human Development Index in North Sumatra Province. The method used in this research is a quantitative method, where the research results are then processed and analyzed to draw conclusions. From several tests, the Random Effect model (REM) was chosen as the best model. The results of the simultaneous test (F-test) of all X variables have an influence on Y variable because the F_count (714.6759) > F_table (3.30) and the test results are proven by a significant value of 0.0000 <0.05, it is concluded that H_1 is accepted and H_0 is rejected. The long-school expectation variable (HLS) (x_1) partially influences HDI in North Sumatra Province because it has a significant value of 0.0000 <0.05 and the value of T_count (15.47633) > T_table (2.039613). The variable per capita expenditure (PP) (x_2) partially influences HDI in North Sumatra Province because it has a significant value of 0.000 <0.05 and the value of T_count (23.32513) > T_table (2.039613). The variable percentage of poor people (PPM) (x_3) partially infuences HDI in North Sumatra Province because it has a significant value of 0.0000 <0.05 and the value of T_count (-4.117351) < T_table (-2.039613).

Authors

Publication Details

Journal
Journal of Mathematics Theory and Applications
Published
2025-04-30
DOI
https://doi.org/10.32938/j-math.v3i2.7801
Citations
1
Primary Topic
Economic Growth and Fiscal Policies
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analisis Faktor-Faktor yang mempengaruhi Indeks Pembangunan Manusia (IPM) di Sumatera Utara

Mulya Syahputra Daulay, Alfi Maulani
1 citations
Journal of Mathematics Theory and Applications
Economic Growth and Fiscal Policies
3.13
article

Analisis Faktor-Faktor yang mempengaruhi Indeks Pembangunan Manusia (IPM) di Sumatera Utara

Mulya Syahputra Daulay, Alfi Maulani
article en
1 citations

Abstract

The Human Development Index (HDI) measures human development achievements based on a number of basic components of quality of life. The research aims to see the influence of Expected Years of Schooling, Per Capita Expenditure and Percentage of Poor Population on the Human Development Index in North Sumatra Province. The method used in this research is a quantitative method, where the research results are then processed and analyzed to draw conclusions. From several tests, the Random Effect model (REM) was chosen as the best model. The results of the simultaneous test (F-test) of all X variables have an influence on Y variable because the F_count (714.6759) > F_table (3.30) and the test results are proven by a significant value of 0.0000 <0.05, it is concluded that H_1 is accepted and H_0 is rejected. The long-school expectation variable (HLS) (x_1) partially influences HDI in North Sumatra Province because it has a significant value of 0.0000 <0.05 and the value of T_count (15.47633) > T_table (2.039613). The variable per capita expenditure (PP) (x_2) partially influences HDI in North Sumatra Province because it has a significant value of 0.000 <0.05 and the value of T_count (23.32513) > T_table (2.039613). The variable percentage of poor people (PPM) (x_3) partially infuences HDI in North Sumatra Province because it has a significant value of 0.0000 <0.05 and the value of T_count (-4.117351) < T_table (-2.039613).

Journal of Mathematics Theory and ApplicationsVol. 3(2)
Openalex Percentile: Top 9%
Economic Growth and Fiscal Policies
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.