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PUBLIC HEALTH INTELLIGENCE · INDONESIA

Child nutrition data
for local action.

An interactive decision dashboard using Survey Status Gizi Indonesia (SSGI) data from 2021–2023 to help public-health teams see where undernutrition is concentrated, understand its patterns and focus action where it is needed most.

See how it works ↓● SSGI 2021–2023

PROJECT TYPE

Public health data product
& decision support

DATA FOUNDATION

Survey Status Gizi Indonesia
SSGI 2021–2023

ANALYSIS

Geographic prioritisation
Population segmentation

OUTPUT

INTERACTIVE DASHBOARD
ACTION-ORIENTED INSIGHT

01 / THE DECISION

National averages can
hide local urgency.

Indonesia’s child nutrition challenge is not evenly distributed. A national indicator is essential for monitoring progress, but it cannot by itself show which communities need attention first.

This work turns SSGI data into an interface that makes variation visible — across nutrition measures, years, provinces, districts, age groups and gender. It gives decision-makers a practical way to ask: where is the need greatest, what is changing, and what response should be prioritised?

02 / THE DATA PRODUCT

Move from a national dataset to a clear, locally relevant action agenda.

01

Bring together

Prepare SSGI nutrition indicators across three survey years in a consistent analytical structure.

02

See the pattern

Compare stunting, underweight and wasting over time and across population groups.

03

Prioritise place

Rank areas of greatest concern and provide district-level context for targeted attention.

04

Support action

Translate findings into clear questions and recommendations for local planning and response.

03 / 2023 SNAPSHOT

One dashboard,
multiple signals.

The dashboard holds the key child undernutrition measures together, so trends and geographic inequalities can be considered alongside one another rather than in isolation.

22.7%

stunting in the 2023 dashboard snapshot

17.1%

underweight in the 2023 dashboard snapshot

6.5%

moderate wasting in the 2023 dashboard snapshot

Values shown are descriptive dashboard indicators based on the SSGI 2021–2023 data product. They are designed to guide investigation and planning, alongside local evidence and public-health expertise.

04 / INTERACTION DESIGN

Make complexity
usable.

The experience is designed for exploration: start with the big picture, then filter to the geography and group that matters. Rather than burying the user in a report, it brings the route to an evidence-informed next step into view.

01

COMPARE

Track the full nutrition picture

Bring stunting, underweight and wasting together to avoid treating a single indicator as the whole story.

INDICATORS ↗
02

FILTER

Move from Indonesia to the district

Use geographic and demographic filters to identify groups and places that warrant closer attention.

PRIORITIES ↗
03

ACT

Turn evidence into a focused response

Use the dashboard as a shared evidence base for discussing practical, locally appropriate nutrition action.

NEXT STEPS ↗
DECISION WORKBENCH / EXAMPLE WORKFLOWSSGI · 2021–2023

05 / FROM INSIGHT TO ACTION

Give every
signal a useful
next question.

The dashboard does not prescribe a universal intervention. It makes the evidence legible, so program teams can combine it with local knowledge, service capacity and community priorities.

WHAT THE USER SEESVIEWQUESTION TO ASKNEXT STEP
A district with high stuntingPLACEWhat local conditions may be driving risk?Prioritise local review
A pattern that differs by ageGROUPWhich children need a tailored response?Refine programme focus
A measure worsening over timeTRENDWhere should delivery be investigated?Check services and context
A high-burden district with low HDICONTEXTWhat cross-sector response is needed?Coordinate action
THE DASHBOARD SUPPORTS PLANNING AND PRIORITISATION; LOCAL PUBLIC-HEALTH JUDGEMENT REMAINS CENTRAL.

06 / PROJECT PRINCIPLE

Better data matters when it helps the right people act in the right place.
Discuss a public health data product ↗