DETERMINANT OF HOUSEHOLD FOOD CONSUMPTION DIVERSITY IN LAMPUNG PROVINCE USING THE 2019 SUSENAS DATA

Diversifying food consumption was intended to reduce rice consumption while modifying food consumption patterns to become more diversified and healthier to gain excellent Human Resources (HR). The goal of this study was to discover (1) household expenditure patterns and welfare levels, (2) household food consumption diversity, and (3) factors influencing household food consumption diversity. This analysis drew on secondary data from the 2019 National Social Economic Survey (NSES). The size of household samples utilised in this study was 9,046. Quantitative descriptive analysis examined the household expenditure pattern and the welfare level. The Desirable Dietary Pattern (DDP) approach examined food consumption diversity. Multiple regression was employed to determine the factors influencing food consumption diversity. The results indicated that the level of household welfare in Lampung Province is categorised as a pre-prosperous household because the food share is 57.15%. The DDP score of the Lampung Province household was 75.44. This means that the diversity of household food consumption in Lampung Province was not ideal. Household income, the age of the head of the household, the mother’s education, and the gender of the head of the household had a positive effect on household food consumption diversity. In contrast, the number of household members and the level of welfare harmed the diversity of household food consumption.

Authors

Institutions

Publication Details

Journal
Journal of Sustainability Science and Management
Published
2025-05-31
DOI
https://doi.org/10.46754/jssm.2025.05.012
Primary Topic
Food Security and Socioeconomic Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DETERMINANT OF HOUSEHOLD FOOD CONSUMPTION DIVERSITY IN LAMPUNG PROVINCE USING THE 2019 SUSENAS DATA

Fembriarti Erry Prasmatiwi, Wuryaningsih Dwi Sayekti, Desmarita Nugrahanti, Dyah Aring Hepiana Lestari
Journal of Sustainability Science and Management
Food Security and Socioeconomic Dynamics
article

DETERMINANT OF HOUSEHOLD FOOD CONSUMPTION DIVERSITY IN LAMPUNG PROVINCE USING THE 2019 SUSENAS DATA

Fembriarti Erry Prasmatiwi, Wuryaningsih Dwi Sayekti, Desmarita Nugrahanti, Dyah Aring Hepiana Lestari
article en

Abstract

Diversifying food consumption was intended to reduce rice consumption while modifying food consumption patterns to become more diversified and healthier to gain excellent Human Resources (HR). The goal of this study was to discover (1) household expenditure patterns and welfare levels, (2) household food consumption diversity, and (3) factors influencing household food consumption diversity. This analysis drew on secondary data from the 2019 National Social Economic Survey (NSES). The size of household samples utilised in this study was 9,046. Quantitative descriptive analysis examined the household expenditure pattern and the welfare level. The Desirable Dietary Pattern (DDP) approach examined food consumption diversity. Multiple regression was employed to determine the factors influencing food consumption diversity. The results indicated that the level of household welfare in Lampung Province is categorised as a pre-prosperous household because the food share is 57.15%. The DDP score of the Lampung Province household was 75.44. This means that the diversity of household food consumption in Lampung Province was not ideal. Household income, the age of the head of the household, the mother’s education, and the gender of the head of the household had a positive effect on household food consumption diversity. In contrast, the number of household members and the level of welfare harmed the diversity of household food consumption.

Journal of Sustainability Science and ManagementVol. 20(5)
Lampung University (ID)
Openalex Percentile: Top 74%
Food Security and Socioeconomic Dynamics
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.