Distribution Pattern of Stunting Incidence at Gedong Tataan
Community Health Center Pesawaran District
Sutarto
1,* a
, Ratna Derwi Puspita Sari
1b
and Winda Trijayanti Utama
2c
1
Medical Education Study Program, Faculty of Medicine, University of Lampung, Bandar Lampung, 35145, Indonesia
2
Medical Professional Study Program, Faculty of Medicine, University of Lampung, Bandar Lampung, 35145, Indonesia
Keywords: Stunting, Ratio of Nearest Neighbors, Cluster, Pattern, Spread.
Abstract: Introduction: According to the 2022 Indonesian Nutrition Status Survey (SSGI), stunting in Indonesia is
21.6%, down from 24.4% in the previous year, with a target of 14% in 2024. The situation in Lampung
Province is highest in Pesawaran Regency (25.1%) and the most in Gedong Tataan were 175 stunted children.
Factors that influence the prevalence of stunting are influenced by regional and geographical factors. The aim
of this research is to determine and explain the distribution pattern of stunting in the work area of the Gedong
Tataan Community Health Center, Pesawaran Regency. Method: Quantitative analysis to describe using
Nearest Neighbor Analysis. Nearest Neighbor Analysis is an analysis method used to examine stunting
distribution patterns. Results: The indicator values in the Nearest Neighbor Ratio analysis illustrate that the
incidence of stunting is spread geographically. An NNR that is lower than 1 (0.567095) means that the
incidence of stunting at the Gedong Tataan Community Health Center has a tendency towards a concentration
or clustering pattern. Conclusion: The incidence of stunting at the Gedong Tataan Community Health Center
has a cluster pattern, although the incidence of stunting is very low, and the difference is very statistically
significant compared to the expected average.
1 INTRODUCTION
Reducing child stunting is an important goal of the 6
goals in the Global Nutrition Targets by 2025 and is a
key indicator in the second Sustainable Development.
Consistent evidence shows that non-exclusive
breastfeeding in the first 6 months, low household
socioeconomic status, premature birth, short birth
length, and low maternal height and education are
determinants of stunting in children in Indonesia.
Stunting results in decreased motor and (Beal et al.,
2018; Yuda et al., 2023) cognitive development,
impaired immunity and low educational attainment. In
adulthood, stunting leads to a decrease in economic
productivity, an increased risk of chronic diseases and
weight loss born in spring (Murti, 2020;
Uwiringiyimana et al., 2019).
Stunting is influenced by maternal factors (short
maternal height, low education, short birth spacing,
poor health before conception), and by household and
a
https://orcid.org/0000-0002-6859-0938
b
https://orcid.org/0000-0002-1025-0981
c
https://orcid.org/0009-0000-8840-5042
life characteristics (low income, inadequate water and
sanitation, and low access to health services) (Islami
& Khouroh, 2021). In implementing stunting
reduction programs, there are many obstacles, when
the implementation of the program lacks human
resources and workload in the health office
district/city. Gedong Tataan Community Health
Center is one of the sub-districts in Pesawaran
Regency with the highest number of stunting children
and spread across 10 villages. Stunting prevention and
control services by the health service network in the
Gedong Tataan Community Health Center work area
have been carried out in auxiliary puskesmas units and
posyandu units. The health services provided affect
the pattern of distribution of stunting events, because
the services in the Gedong Tataan Community Health
Center area are served by Auxiliary Health Center and
Posyandu.
The government has created a medium-term
program of the National Strategy for the Acceleration
38
Sutarto, , Sari, R. D. P. and Utama, W. T.
Distribution Pattern of Stunting Incidence at Gedong Tataan Community Health Center Pesawaran Distr ict.
DOI: 10.5220/0013219800003873
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 1st International Conference on Medical Science and Health (ICOMESH 2023), pages 38-44
ISBN: 978-989-758-740-5
Proceedings Copyright © 2025 by SCITEPRESS Science and Technology Publications, Lda.
of Stunting Prevention 2018-2024, in the form of
stunting acceleration that prioritizes and focuses
targets on pregnant women, breastfeeding mothers,
children 0-23 years old, children aged 24-59 months,
women of childbearing age and adolescent girls, in its
implementation in 1,000 focus villages in 100 priority
(Yuda et al., 2023). Districts / cities Stunting is a major
global public health problem and has spatial variations
that change contextual variables from one region to
another, suggesting that geography is an important
component in the development of stunting reduction
and prevention strategies. After adjusting for
demographic and socioeconomic factors, altitude of
residence and being served by rural markets was also
significantly associated with the incidence of stunting
in children (Tamir et al., 2022; Uwiringiyimana et al.,
2019). The spatial distribution rate of stunting using
the latest data is very important in planning and
implementing geographically targeted and optimized
nutrition interventions in the Gedong Tataan
Community Health Center area. Interventions are
carried out by health service units in healthcare center.
Auxiliary community health center and Posyandu, so
it is necessary to buffer health services in stunting
prevention.
This study aims to assess the spatial distribution
pattern and buffer of stunting prevention health
services in children under five in the work area of
Gedong Tataan Community Health Center.
2 METHOD
The study design used population-based cross-
sectional study analysis and explored geographic
variation and identified patterns of distribution and
buffering of health services, factors influencing child
stunting and stunting. The research was conducted at
Gedong Tataan Community Health Center.
The analysis uses spatial analysis and nearest
neighbors to describe the phenomenon of distribution
patterns and buffering of health services. Data source.
This research data was taken from a survey by a
student enumerator majoring in Geography, Faculty
of Teacher Training and Education, University of
Lampung. To provide timely and reliable data on
health and demographic outcomes, standardized GPS
measuring instruments are used.
3 RESULTS
Pesawaran Regency is one of the regencies in
Lampung Province, Indonesia. Geographically,
Pesawaran Regency is located between 1040-05014'
East Longitude and 507'-5048' South Latitude. This
regency was inaugurated on November 2, 2007 based
on Law Number 33 of 2007 concerning the
Establishment of Pesawaran Regency. Initially this
regency was part of South Lampung Regency. The
total area of Pesawaran Regency is 1,173.77 km2 or
117,377 Ha with Padang Cermin District as the
largest district, which is 31,763 Ha. Pesawaran
Regency consists of 37 islands. The three largest
islands are Legundi Island, Pahawang Island, and
Kelagian Island.
Figure 1, administratively seen Pesawaran
Regency has the following boundaries.
The northern part is bordered by Kalirejo District,
Bangunrejo District, Bumi Ratu Nuban District,
Trimurjo District, Central Lampung Regency
The eastern part is bordered by Natar District,
South Lampung Regency, Kemiling District, and
Teluk Betung Barat District, Bandar Lampung
City
The southern part is bordered by Lampung Bay,
Kelumbayan District, and Cukuh Balak District,
Tanggamus Regency
The west is bordered by Adiluwih, Sukoharjo,
Gadingrejo, and Pardasuka Districts, Pringsewu
Regency.
Figure 1: Pesawaran District Administration Map (Primary
data collection results, 2023
Throughout 2023, there will be 175 cases of
stunting. The pattern of distribution of stunting cases
from the Average Nearest Neighbor (ANN) analysis,
provides an overview of the phenomenon of the spread
of stunting to form a pattern. Spatial statistics that have
been carried out describe geographical objects /
changes in events at a location, in addition to
describing spatial patterns formed by three types of
spatial patterns, clustered, dispersed, and random.
Distribution Pattern of Stunting Incidence at Gedong Tataan Community Health Center Pesawaran District
39
Figure 2 explains the clustering pattern of stunting
incidence in health services in 2 (two) auxiliary
community health center units located in the Gedong
Tataan Community Health Center work area. Each
auxiliary community health center unit is realized as
an independent health service center that provides
high-quality services to the local community. The
clustering pattern of stunting events based on the
service coverage of 2 (two) auxiliary health center
seems to have reached all stunting incidents so that the
role of health services is needed by the auxiliary
auxiliary health center as a network in the work area
of the Gedong Tataan Community Health Center. The
efficiency and effectiveness of health services in these
2 (two) auxiliary community health center units are
divided into certain groups based on the health service
needs of stunting locations that have the
characteristics of local residents in getting good health
services.
The clustering pattern of stunting incidence in
health services in 2 (two) auxiliary community health
centers, and the basis for improving children's health
services in this region. Collaboration between
auxiliary community health center and joint efforts in
overcoming stunting problems are expected to be
increased in response to the findings of this study. In
addition, the accuracy of the location and placement
of auxiliary community health center units in the
clustering pattern of stunting events also allows for
more even distribution of health resources. This helps
maximize the accessibility of stunted toddlers to
health services, reduces transportation burdens, and
increases responsibility towards local health needs.
Figure 2: Clustering Pattern of Stunting Incidence in Health
Services in 2 (two) auxiliary Puskesmas units in the Gedong
Tataan Health Center Work Area (Primary data collection
results, 2023)
Figure 2 shows the pattern of clustering services
in two auxiliary health center units in the Gedong
Tataan community health center work area creating a
coordinated and structured system, optimizing
community health services with a holistic approach
and based on local needs. This cluster is formed in 3
(three) central locations, centered on health services,
north to northeast and south to southwest.
Posyandu is a form of community-sourced health
efforts carried out by, from, and with the community,
to provide convenience for the community in
obtaining health services for mothers, babies, and
children under five. The skills of each posyandu
cadre in carrying out anthropometric measurements
are very necessary, for the detection of child growth
and development. Posyandu cadres are community
members who are willing, able, and have the time to
organize posyandu activities voluntarily. Early
detection of toddler growth disorders is one of the
best ways to reduce stunting prevalence, involving
posyandu cadres is a role in the implementation of the
3 (three) pillars stunting program in Indonesia,
empowering the community in stunting prevention
(Julianti & Elni, 2022; Sanjaya et al., 2022; Tri Astuti,
2022).
Figure 3 Clustering Pattern of Stunting Incidence in 10 (ten)
health services in Posyandu units in the Gedong Tataan
Health Center Work Area (Primary data collection results,
2023
Figure 3 reflects the exploration of certain patterns
in the incidence of stunting related to the quality of
health services provided by Posyandu in the Gedong
Tataan Community Health Center area. Identifying
risk factors that influence the incidence of stunting, as
well as mapping this clustering pattern between
Posyandu locations can be associated with differences
in health services. Factors such as diet, accessibility of
maternal and child health services, and socioeconomic
variables help detail specific aspects that need
attention. Assessing the existence of specific
geographical patterns in the incidence of stunting to
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40
understand the spatial distribution of stunting cases
across the working area of Gedong Tataan community
health center. This setting can provide a more holistic
view of the health challenges in each Posyandu and
assist in designing more targeted intervention
strategies.
The clustering pattern in health services is
contained in 10 (ten) Posyandu units in the Gedong
Tataan community health center working area, with a
planned layout, each Posyandu is organized in such a
way as to provide holistic and coordinated health
services to the local community. This clustering
pattern was designed by taking into account the
diversity and health needs of the community around
the Gedong Tataan community health center work
area. Each Posyandu focuses on preventive,
promotive and curative health services that are
specific to the public health profile in their
environment. With strategic placement, this clustering
pattern in Posyandu health services allows efficient
and optimal utilization of resources. People can easily
access quality healthcare without having to travel far.
In addition, collaboration between 10 Posyandu units
enables effective information exchange and
coordination in addressing various health issues at the
community level for stunting prevention.
The importance of clustering stunting events in
health service Posyandu can be seen in an effort to
improve the welfare of the community as a whole.
With a focus on disease prevention and health
promotion, this system contributes positively in
improving the quality of health and quality of life of
residents in the Gedong Tataan community health
center work area.
Community health center can manage and
implement all work programs and other health efforts
continuously well, so that community health center
must be able to prepare activity plans and budgeting
based on health development policies and the results
of situation analysis, not only that community health
center also needs to supervise and control activities
that have been running. Figure 4 explains that the
distribution pattern of stunting events can still be
reached by the Gedong Tataan community health
center office with the closest service distance of 5 kilo
meters and the farthest 10 kilo meters. Figure 4 also
shows clusters of stunting events in the south to
southwest, closest to health services in the nearest sub-
district (Kota Dalam sub-district by Kota Dalam
Health Center) (Al Hikami et al., 2022; Pratiwi Yunus
et al., 2021).
Grouping distance, travel time and availability of
transportation to access health services including
community health center is an access variable, the
longer the distance to the puskesmas will reduce the
frequency of visits to community health center,
indirectly can affect the incidence of stunting (Son &;
Suariyani, 2021).
The distance between the patient's home and the
health facility (more than 10 kilo meters) reduces
visits and adherence to treatment. Patients stop
visiting treatment because the distance from home to
the community health center is too far requires
transportation costs and time, even though the person
concerned has understood and understood the impact
of non-compliance in undergoing treatment (Riki
Yudiana et al., 2022).
Nutrition-sensitive interventions have an effect on
reducing the incidence of stunting through various
improvements in health services both in the primary
target of toddlers, pregnant women, as well as
secondary targets of adolescent girls and community
leaders. To realize this, the government established
Guidelines for the Implementation of the Healthy
Indonesia Program with a Family Approach, through
efforts to provide services for Pregnant and Maternity
Women through Intervention in the first 1,000 days of
life; integrated antenatal care (ANC) quality
assurance; childbirth in a health facility; high-calorie,
protein, and micronutrient feeding programs, early
detection of diseases (infectious and non-
communicable); eradication of worms; transformation
of Kartu Menuju Sehat (KMS) into MCH Book; Early
Breastfeeding Initiation Counseling, exclusive
breastfeeding; and monitoring toddler growth by
organizing supplementary food activities for toddlers
at posyandu (Maesaroh &; Sulistyorini, 2021;
Sugianti &; Devianti Putri, 2022).
Figure 4: Clustering Pattern of Stunting Incidence
according to the Gedong Tataan Community Health Center
(Primary data collection results, 2023)
Specific interventions carried out by all
community health center in Indonesia are in
Distribution Pattern of Stunting Incidence at Gedong Tataan Community Health Center Pesawaran District
41
accordance with applicable guidelines, each with
different targets. In target adolescent girls, two
specific interventions were carried out, namely
anaemia screening and consumption of blood-
boosting tablets. Anaemia screening activities that
can be carried out include Haemoglobin (Hb)
Examination activities for junior and senior high
school students, adolescent female anaemia
education, anaemia screening training, female student
training on measuring height, weight, upper arm
circumference and clinical signs of anaemia,
distribution of iron tablets that must be taken for 12
weeks (1 tablet/week). The target of pregnant women
is three activities, namely antenatal care (ANC),
consumption of iron tablets for pregnant women,
supplementary feeding for pregnant women with
chronic energy deficiency. The toddler target is
carried out with five specific activities, namely
monitoring toddler growth, exclusive breastfeeding,
giving food rich in animal protein for under two years
old children, managing nutritional problems,
increasing immunization coverage (Pratiwi, 2023)
In Figure 5 and Table 1, the context of stunting
events in the working area of Gedong Tataan
community health center, the results of Average
Nearest Neighbor (ANN) analysis with important
information, the average distance observed was
278.7904 meters, reflecting the average distance
between each stunting case and other nearby stunting
cases in the Gedong Tataan community health center
work area. The Nearest Neighbor Ratio value of
0.567095 shows the relationship between the
observed mean distance and the expected average
distance of each randomly distributed stunting case.
If this value is less than 1, it indicates a tendency to
form clusters. The Z-score of -6.573460 is used to
measure the distance of the observation value from
the randomly distributed expectation value, and a
negative value indicates that the distribution of
stunting cases is not random (distributed cluster). A
very small P value (0.000000001) indicates that the
difference between the observed and expected
distributions is significantly randomly distributed.
The results obtained from these values show patterns
or clusters in the distribution of stunting events in the
work area of the Gedong Tataan community health
center.
Based on these results, there are factors that can
cause cluster patterns, namely health service factors
that have been carried out by posyandu, auxiliary
community health centers and elderly health centers.
Health services carried out by these health facilities
are anaemia screening and consumption of iron
tablets for adolescent girls, distribution of iron tablets
for pregnant women, antenatal care (ANC),
supplementary feeding for pregnant women who are
chronically deficient in energy and for toddler targets
in the form of monitoring toddler growth, exclusive
breastfeeding, providing complementary foods,
managing nutritional problems, increased
immunization coverage and others (Pratiwi, 2023).
Figure 5: Neighboar Nearest Average Test Results Analysis
of Stuntitng Incidence in Gedong Tataan Health Center
Working Area (Primary data collection results, 2023)
Table 1: Analysis of the Average Closest Distance to the
Incidence of Stunting in the Working Area of Gedong
Tataan Community Health Center
Average observed distance 278.7904 meters
The ratio of nearest neighbors 0.567095
Z-Score -6.573460
p-value 0.000000
Source: primary data processing results, 2023
Table 1 shows that the average distance between
stunting toddlers is 278 meters, this distance shows
the density and very close between stunting toddlers,
the close distance between stunting toddlers is
possible because of the similarity in the receipt of
health services provided by health facilities related to
the average distance from stunting toddlers' homes to
health facilities. The distance between health
facilities has an impact on the utilization rate of these
facilities, if health facilities are located far away or
difficult to access, people may not want or have
difficulty in utilizing available health services (Muin
& Radaya, 2023). In this analysis of the distribution
of stunting toddlers, distribution patterns that tend to
form clusters around health facilities, mean that
stunted toddlers tend to be localized or gather in areas
close to health facilities. These results illustrate the
possible influence or relationship between the
incidence of stunting in toddlers and the location of
health facilities. This pattern of group distribution has
important implications for strategic planning and
ICOMESH 2023 - INTERNATIONAL CONFERENCE ON MEDICAL SCIENCE AND HEALTH
42
implementation of health interventions in the regions,
focusing on areas that show higher stunting rates and
adjacent to health facilities.
The proximity of health facilities, taking into
account the distance of the house from the facility,
can provide information on the grouping of health
service recipients around the location of health
facilities, so that this condition can be a solution by
ensuring optimal health services for the community
so that stunting events can be prevented and
overcome.
4 CONCLUSIONS
The incidence of stunting in the working area of the
Gedong Tataan community health center
determination of the results of the analysis The
Average Nearest Neighbor formed a cluster with an
average distance of 278.7904 meters, reflecting the
average distance between stunting cases so close that
it formed a cluster pattern. Nearest Neighbor Ratio
with a value of 0.567095 indicates that the
distribution of points or objects observed tends to be
more collected or form groups. There is a tendency to
approach each other in space, an indication of
collected spatial patterns or clusters. The condition of
this observed spatial pattern is not due to chance, but
is caused by certain factors or processes that affect the
distribution pattern. Distribution patterns tend to form
clusters around health facilities, illustrating the
possible influence or relationship between the
incidence of stunting in toddlers and the location of
health facilities. This cluster distribution pattern has
important implications for strategic planning and
implementation of health interventions for stunting
prevention and control with a focus on areas adjacent
to health facilities.
ACKNOWLEDGEMENTS
We would like to express our gratitude to the Faculty
of Medicine, University of Lampung, which has
provided enthusiastic support and funding.
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