The aim of this research was to find out the correlation of nutritional status with the gross motor development of 4-5 years old child in Serang and the influence of nutritional status toward the children's gross motor development. This research used correlation study with cross sectional approach. The technique used multi stage sampling which were cluster, proportional, and random sampling technique with samples of 54 children aged 4-5 years. The data collection technique was using measurement and direct observation. The nutrition status variable was using weight measurement/body weight and gross motor development variable using observation guidance instrument. The data analysis technique used Spearman Rank bivariate analysis (rs). The results showed the correlation between nutritional statuses with gross motor development of (rs) 0.757. The result of the data obtained t count equal to 8.352>t table of 2,00665 and obtained the coefficient of determination of 0.573. So, it can be concluded that there was a positive and significant relationship between nutritional status and gross motor development of children aged 4-5 years in Serang. The big influence which given the nutritional status of gross motor development reaches 57.3%.

1. The Correlation between Nutrition Status and Gross Motor Development: A Case in Banten, Indonesia
The Correlation between Nutrition Status and Gross Motor
Development: A Case in Banten, Indonesia
*1Tricahyani Endah Yuniarti, 2Atin Fatimah, 3Fajar Nureni
1,2,3University of Sultan Ageng Tirtayasa, Untirta, Jalan Raya Jakarta km.4 Pakupatan Serang Banten, Indonesia
The aim of this research was to find out the correlation of nutritional status with the gross motor
development of 4-5 years old child in Serang and the influence of nutritional status toward the
children's gross motor development. This research used correlation study with cross sectional
approach. The technique used multi stage sampling which were cluster, proportional, and random
sampling technique with samples of 54 children aged 4-5 years. The data collection technique
was using measurement and direct observation. The nutrition status variable was using weight
measurement/body weight and gross motor development variable using observation guidance
instrument. The data analysis technique used Spearman Rank bivariate analysis (rs). The results
showed the correlation between nutritional statuses with gross motor development of (rs) 0.757.
The result of the data obtained t count equal to 8.352>t table of 2,00665 and obtained the
coefficient of determination of 0.573. So, it can be concluded that there was a positive and
significant relationship between nutritional status and gross motor development of children aged
4-5 years in Serang. The big influence which given the nutritional status of gross motor
development reaches 57.3%.
Keywords: nutritional status, gross motor development, children aged 4-5 years, cross sectional approach, Spearman
Rank bivariate
INTRODUCTION
Early childhood is an individual in the age group of 0-6
years who is undergoing a process of rapid growth and
development which very important for the next life. Child
growth is followed by growth of the brain, skeleton, muscle,
nervous system, and personality development. Skeletal
and muscle systems greatly affect the motor skills of
children in performing activities. It has the differences
motor developments of each individual. There are children
who have excellent motor development, but some also
have late motor development. Motor development is one
of the most important factors in the development of the
individual as a whole. Motor skill of children can grow and
develop well if child have experience of motion of various
kind. It is supported by Mahendra and Saputra (2006)
states motor development greatly influenced by nutrition,
health status, and motion treatment according to the
period of its development. Nutrition is a substance needed
by the body to function. These nutrients are obtained from
food consumed. Food consumption will affect a person's
nutritional status. A good nutritional status will occur if the
body obtains adequate intake of nutrients and according to
the needs of the body.
Gross motor activity of toddlers needs to get stimulation
from parents and the preschool education environment.
Based on the observations made by researchers in the
environment of early childhood education institutions,
there are some children of the same age but look different
body size, there is a normal look there is also a thin and
even look fat. In early observations were also found when
they performed some gross motor activity tasks from
teachers such as jumping, walking straight and running,
found some children need teacher assistance to perform
such abusive motor activities, even some children cannot
perform the task given. These children mostly have
smaller body size and larger than other children. Children
gain a variety of motion experiences requiring nutritional
intake. A healthy child will demonstrate optimal motor
abilities, requiring adequate nutrition both in quality and
quantity. Consumption of nutrition greatly affects the
nutritional status of children. Incorrect nutritional intake,
then the nutritional status of children can be more or less.
The child's nutritional intake should be appropriate to the
child's needs with regard to age, sex, weight, and physical
activity.
*Corresponding Author: Tricahyani Endah Yuniarti, University
of Sultan Ageng Tirtayasa, Jalan Raya Jakarta km.4 Pakupatan
Serang Banten, Indonesia. Email: Tricahyani.Ey@untirta.ac.id;
Tel: +628107794647. Co-Authors 2
Atin Fatimah Email:
fatimah.79@untirta.ac.id Tel: +6282116278624; 3
Fajar Nureni
Email: fajarnureni@yahoo.co.id Tel: +6287772685097
Research Article
Vol. 5(1), PP. 091-099, March, 2019. © www.premierpublishers.org. ISSN: 1406-089X
International Journal of Public Health and Epidemiology Research

2. The Correlation between Nutrition Status and Gross Motor Development: A Case in Banten, Indonesia
Yuniarti et al. 092
Various studies have shown that malnutrition can
decrease muscle strength that makes work productivity
inefficient. This is because the ability of a person's work is
greatly influenced by the amount of energy available,
where energy is obtained from the daily diet and if the daily
amount of food does not meet the needs of the body and
does not contain enough nutrients necessary, this situation
will cause changes in metabolism in the brain resulted in
the inability to function normally. Nutritional deficiencies
lead to impaired body growth, smaller body followed by the
small number of brain cell growth which will affect the
motor development of children.
In fact, based on data of Indonesia Health Profile Year
2015 by the Directorate General of Public Health, 2016,
among eight cities in Banten Province, there are five
districts in serious category, and two districts /
municipalities that fall into the critical category. Thus, this
study seeks to answer: 1) Is there any relationship
between nutritional status and gross motor development of
4-5 years old in Serang district? 2) How much contribution
the influence of nutritional status with the development of
gross motor aged 4-5 years in Serang district?
The Nature of Nutrition Status of Early Childhood
The nutritional status of children showed the nutritional
adequacy of children as a parameter to assess the growth
and development of children and assess the health of
children. Suparisa et al cited in Istiany and Rusilanti (2014:
5), mentioned that the state of nutrition or nutritional status
is an expression of a state of equilibrium in the form of a
particular variable or the embodiment of a nutriture in the
form of a particular variable. It was that the nutritional
status of the child is shown through the physical state of
the child's body as a result of the nutrients or foods
consumed by the child daily. A healthy physical condition
will affect the child in the activity. .
Another opinion is strengthened by Manaf in Hasdianah,
Siyoto, and Peristyowati (2014: 6), said that nutritional
status is the nutritional health of the community depends
on the level of consumption and is required by the body in
the composition of food and its comparison with others. In
other words, the child's nutritional status is characterized
by the level of food consumption the body needs with the
child's physical state. A normal physical state is
characterized by a healthy child body and optimal physical
growth of the child, so that a child consuming a healthy diet
will show good physical condition.
Based on the understanding of some opinions above, it
can be concluded that the child's nutritional status is
characterized by the physical state of the child's body due
to the level of consumption of food consumed by the child
every day. Foods consumed by children as a nutritional
intake that affects the development of children. The child's
nutritional status will reflect the balance of physical growth
patterns of the child. Nutritional status can be measured
by index Weight / Height Body has 4 categories that is very
thin, thin, normal, and fat (Kementrian Kesehatan RI,
2011).
Nutritional status is divided into two types: normal
nutritional status and malnutrition. Normal nutritional
status is a state of the body that reflects the balance
between consumption and the use of nutrition by the body
(adequate). Meanwhile, malnutrition is a condition due to
deficiency or excess relative or absolute one or more
nutrients. There are four forms of malnutrition including
under nutrition (less of food consumption relative or
absolute for a certain period), specific deficiency (less of
certain nutrients, for example iodine deficiency and Fe,
over nutrition (excess consumption of food for a certain
period, imbalance (state disproportion of nutrients, such as
high cholesterol because it does not equal the levels of
LDL, HDL, and VDL (Hasdianah, Siyoto, and Peristyowati,
2014: 32-33).
The Nature of Gross Motor Development of 4-5 Years
Old
The terms of motor were confirmed by Zulkifli in Samsudin
(2008: 11), said the meaning by motor skill is anything that
has to do with body movements. So, it can be said that any
physical activity performed by the child will be related to
the body movement produced by the motor ability of the
child. Children aged 4-5 years are able to perform agile
motor movements, as said by Roberton & Halverson in
Desmita (2012: 129), stated that children aged 4.5 to 5
years can do the balancing on one leg, running far,
swimming, cutting, drawing, imitating numbers and letters,
and making plaid arrangements.
Based on the above opinion it can be concluded that each
child has a basis for doing motor movement on the
physical activities of children involving the body muscles to
produce body movements according to the ability of the
child's age. The motor development of children should get
the right stimulation in order to develop well as expected.
In general, children aged 4-5 years are able to perform
motor movements such as standing, walking, running,
jumping, jumping, manipulating, drawing, cutting and
writing or imitating numbers and letters. Healthy children
have adequate motor and coordinated motion so that
children become skilled and active person.
So, development and motor were interrelated in the span
of life. As explained by Hurlock (Suyadi, 2010: 67), that
motor development is a physical development through
nerve center activities, nerves, and muscles are
coordinated. The movement comes from the development
of reflexes and activities that have existed since birth. In
other words that every child has an innate motor
development that keeps on coordinating so as to produce
body movements to perform activities. The motor
development of children run gradually until the child
achieved the ability to live skillfully. Achieving life skills of
children requires encouragement and adult guidance.

3. The Correlation between Nutrition Status and Gross Motor Development: A Case in Banten, Indonesia
Int. J. Public Health Epidemiol. Res. 093
Based on the above opinion can be said that early
childhood motor development was done through physical
activity involving the coordination of muscles that
complicate resulting in body movements. Focused body
coordination helped the child to engage in activities within
the child's life span. At the age of 4-5 years the child is able
to perform the movement accurately on fine motor
development and gross motor skills.
Aim of the Present Study
This study aimed to find out the relationship of nutritional
status with gross motor development aged 4-5 years in
Serang district and to find out the contribution of the
influence of nutritional status with the development rough
motor aged 4-5 years in Serang district. More, specifically,
the researchers hypothesized that: 1) Ho: ρ ≤ 0 = There is
no significant relationship between nutritional status and
gross motor development in children aged 4-5 years in
Serang district. 2) Ha: ρ> 0 = there is a significant
relationship between nutritional status and gross motor
development in children aged 4-5 years in Serang distrcit.
RESEARCH METHOD
Research Design
This research was used quantitative data. This research
also used survey method with cross sectional approach
they were research data collected and observed at the
same time. In this research, there were two variables those
are variable X (nutritional status) and variable Y (child's
gross motor development). This study was used the score
of two variables then calculate the correlation of both
variables. The participants of this research were all ages
of 4-5 years old of PAUD BKB Package IQRO, PAUD Al-
Muhajirin, PAUD Ass-Syarif, PAUD Nurul Hidayah, PAUD
Al-Ikhlas and TK Aisyiah 1 Serang, in Serang Sub-district,
Banten Province. There were 54 participants. The
technique used in sampling in this research (institutional
selection) using area sampling technique based on
population area that is District of Serang which consisted
of 12 urban villages. According to Surakhmad in Riduwan
(2013: 65), argued that if the population size is less than
100, then sampling is at least 50% of the population size.
The researcher assigned sample 50% from 12 villages at
random that is as much as 6 villages or 6 PAUD institute
to represent every village to be participants.
Research Instrument
The research instrument used in this research was the
type of observation guidance, manual body weight,
microtoise and anthropometry standard. The designation
of this research instrument to the variables studied were
as follows:
1. Independent Variable (Nutritional Status)
Instrument in this research used weight index instrument
according to height (BB / TB) which can be used to know
the nutritional status of children aged 4-5 years by
calculating body weight and height value then view
category of nutritional status with anthropometry standard.
The assessment of nutritional status based on
anthropometric standards as follows;
Table 2: The Measurement of Child Nutrition Status
Index Category Threshold Score
Weight Loss Based
on Height
(BB / TB)
(0-60 Months)
Very Thin < -3rd grade of Elementary School 1
Thin - 3rd grade of Elementary School until <-- 2nd grade of Elementary School 2
Normal - 2nd grade of Elementary School until 2nd grade of Elementary School 3
Fat > 2 SD 4
2. Dependent Variables (Gross Motor Development)
To measure children's gross motor development,
instruments used to measure movement ability in general
children 4-5 years old are used. In this study to measure
the gross motor development of children aged 4-5 years
using the technique of observation directly. Data collection
of gross motor development with a tool of observation
guideline of children aged 4-5 years in District Serang
In the preparation of this research instrument to categorize
gross motor skill of children aged 4-5 years using the
following assessment categories;
Tabel 3: The Category of Gross Motor Assessment of Child Development Aged 4-5 Years old
Alternative Response Categories
4 Developing very well
3 Developing as expectations
2 Starting develop
1 Undeveloped

4. The Correlation between Nutrition Status and Gross Motor Development: A Case in Banten, Indonesia
Yuniarti et al. 094
Data Collecting Technique
Validity Test
In this study to test the validity of Nutrition Instrument
variable instrument used standardized instrument that was
weight scales with 0.5 kg accuracy to measure child weight
and microtoise with accuracy of 0.5 cm to measure height.
Meanwhile, to test the validity of the instrument of variable
gross motor development is by analyzing the instrument
grain and compare t arithmetic with t table. The number of
items used was 12 items. Testing validity of each item was
using the Pearson formula with Microsoft Exel Application.
Criteria testing can be accepted if t arithmetic> t table at a
significant level of 0.05, then the item was declared valid
(accepted). Conversely, if t arithmetic <t table at a
significant level of 0.05, then the item was declared invalid
(drop / rejected).
Result of Validity Test Instrument
To test the instrument validity of rough motor development
variable that was by analyzing instrument grain and
compare t count with t table.
The result of test of validity of gross motor development
instrument (Y variable) was obtained 10 items of valid
instrument. Item consists of valid items that are 1, 2, 3, 4,
5, 6, 7, 9, 11, and 12. Meanwhile, the item which was
invalid consists of 2 items that are 8 and 10. Invalid items
will be dropped / dropped, while the valid items will be
researched in PAUD BKB Pack IQRA, PAUD Al-Muhajirin,
PAUD Ass-Syarif, Nurul Hidayah PAUD, PAUD Al-Ikhlas,
and TK Aisyiah 1 Serang Sub-district.
Result of Reliability Test Instrument
Table 4: The Result of Reliability Analysis of Gross Motor
Development Instrument
Reliability Statistics
Cronbach's
Alpha
Cronbach's Alpha Based on
Standardized Items
N of
Items
,829 ,829 10
Source: Data is processed using IBM SPSS Statistic 22,
2017
Based on the calculation results showed that obtained
r_11 = 0.829, because the value of reliability coefficient r>
0.80 then the degree of reliability of high gross motor
development instrument.
Retnawati (2016, 85), mentioned that the reliability test is
generally expressed numerically in terms of coefficients of
magnitude -1.00 ≤ ρ ≤ + 1,00. High coefficients show high
reliability. Conversely, if the coefficient of a test score was
low then the test reliability was low. If reliability was perfect,
then the reliability coefficient was +1.00.
Table 5: Instrument Reliability Criteria
Interpretation Reliability Coefficient
0,80 ≤ r High reliability degree
0,40 ≤ r < 0,80 Middle reliability degree
r < 0,40 Low reliability degree
(Arikunto, 2006)
Normality Test
Normality test aims to determine whether the research
data is normally distributed or not. Data or samples of more
than 30 digits (n> 30), can already be assumed to be
normally distributed. But in statistics it is necessary to test
the data normality. Normality test data in this study was
conducted by using statistical test Shapiro Wilk. The basic
decision-making in the Shapiro Wilk normality test, if
significant value> 0.05, then the data is said normally
distributed. Conversely, if the value is significant <0.05,
then the data is said not distributed normally.
Research Instrument Try Out
In this study used to collect data about the nutritional status
of children aged 4-5 years to measure the weight and
height of the child with a standard instrument tool that is
the weight and height (microtoise). While the data of gross
motor development of children aged 4-5 years using the
instrument in the form of observation guidelines that
contain 12 questions with 4 (four) alternative answers that
is Very Good Developing with a score of 4, Developing
Expectant Hope with a score of 3, Start Developing with a
score of 2, and not yet Develops a score of 1 for each
answer.
After the observation instrument is prepared and in
consultation with the expert, then the instrument is
conducted by using research instrument try out.
Furthermore, it is necessary to do a trial analysis
consisting of analysis of instrument validity and instrument
reliability.
Data Analysis Technique
Data analysis in this study using IBM SPSS Statistics 22
software. Data analysis related to the calculation answer
the problem formulation and hypothesis testing proposed.
Data analysis in this research were univariate and
bivariate analysis. Univariate Analysis The analysis was
conducted to find out the distribution, frequency, and
percentage of each dependent variable and the
independent variables studied were the analysis of
nutritional status variables and rough motor development
variable of 4-5 years old children in Serang District.
Bivariate Analysis Bivariate analysis was conducted to see
the correlation between independent variable that is
nutrition status and rough motor development variable of

5. The Correlation between Nutrition Status and Gross Motor Development: A Case in Banten, Indonesia
Int. J. Public Health Epidemiol. Res. 095
4-5 years old child in Serang District. In this study using
Spearman Rank correlation analysis. The Spearman Rank
correlation was denoted (r 𝑠) with the provision that the (r 𝑠)
value is no more than the price (-1 ≤ (r 𝑠) ≤ +1). If the value
of (r 𝑠) = -1, meaning the correlation between the negative
variable is perfect, (r 𝑠) = 0, meaning no correlation, and
r_s = 1 means the correlation between variables is very
strong. While the meaning of price (r 𝑠) will be consulted
with interpretation table r value in Sugiyono (2012:) as
follows:
Tabel 6: Interpretasi Koefisien Korelasi Nilai r
Coefficient Interval Interpretation
0,00 – 0,199 Very low
0,20 – 0,399 Low
0,40 – 0,599 Adequate
0,60 – 0,799 Strong
0,80 – 1,000 Very Strong
Meanwhile, to state the size of the contribution of variable
X to Y can be determined by the formula coefficient
determine as follows:
Which:
KD = The magnitude of the coefficient of determination
R = Correlation coefficient
Furthermore, the significance test is calculated by t-Test
with the formula as follows
𝑡 𝑐𝑜𝑢𝑛𝑡 =
r xy √n − 2
√(1 − r xy2)
Which:
t = value t-count
r = correlation coefficient of r result (r XY)
n = total of respondents
Test rules: If t arithmetic ≥ t table, then significant If t
arithmetic ≤ t table, then not significant
Terms of error rate (ɑ) = 0.05 with the formula degrees of
freedom (db) = n-2, so it can be concluded the correlation
results of both variables.
FINDING
Data Collecting Technique
Normality Test
Normality test data in this study was conducted by using
statistical test Shapiro Wilk. Based on the results of
statistical analysis Shapiro Wilk normality test obtained
significant value for gross motor development in nutritional
status is very thin at 0.272, gross motor development on
nutritional status of 0,094 thin, the gross motor
development at normal nutrient status of 0.056, and
significant value of motor development coarse on nutrient
status was very fat at 0.230. Because the value of the four
categories has a significantly greater value> 0.05, it can be
concluded that the gross motor development data is
normally distributed.
Descriptive Analysis of Research Data
Descriptive of Child Gender
This research was conducted at PAUD institution located
in Serang Sub-district with sample of 54 children. Here's
an overview of children by gender.
Tabel 9:Gender Frequency Distribution of Children
Gender Frequency Percentage
Male 25 46,3
Female 29 53,7
Total 54 100
Source: Data is processed using IBM SPSS Statistic 22,
2017
Based on table above, it can be seen that children aged 4-
5 years in the Serang Sub-district was dominated by
female gender as much as 29 children with a percentage
of 53.7%. While children with male gender counted 25
children with percentage of 46,3%.
Descriptive of Nutritional Status
Nutrition status was denoted by X. The calculation results
obtained a maximum score of 4 and a minimum score of
1. The average score obtained by 2.61, standard deviation
obtained by 0.738, mode of 3 and median of 3.00. Based
on the research data above, the classification / category of
nutritional status of children aged 4-5 years in Serang
district based on body weight index by height (BB / TB),
can be seen in the table below:
Tabel 9: Frequency Distribution of Child Nutrition
Status Category
Score Category Frequency Percentage
1 Very thin 4 7,4
2 Thin 17 31,5
3 Normal 29 53,7
4 Fat 4 7,4
Total 54 100,0
Source: Data is processed using IBM SPSS Statistic 22,
2017
From the table above, it can be seen that most nutritional
status of children aged 4-5 years is normal as many as 29
children (53.7%), but still obtained children with nutritional
status is very thin and fat with the same number of children
(7.4 %).
When presented in diagram form, here is a diagram of the
nutritional status variables:
Descriptive of Gross Motor Development
Gross motor development was denoted by Y. A maximum
score of 38 is obtained and a minimum score of 20. The
average score is 30.13, the standard deviation is obtained
at 6.265, the mode of 35 and the median of 34.00.
Furthermore, data was arranged in motor frequency
distribution of motor ability as follows:

6. The Correlation between Nutrition Status and Gross Motor Development: A Case in Banten, Indonesia
Yuniarti et al. 096
Table 10: Frequency Distribution of Gross Motor Child
Development
Interval Class Frequency Percentage
20,00 – 22,57 8 14,8
22,58 – 25,15 13 24,1
25,16 – 27,73 2 3,7
27,74 – 30,30 1 1,9
30,31 – 32,87 0 0
32,88 – 35,45 16 29,6
35,46 – 38,00 14 25,9
Total 54 100,0
Source: Data is processed using IBM SPSS Statistic 22,
17
From the table above showed that the development of the
most gross motor child with interval class of 32,88-35,45
counted 16 children with percentage of 29,6%, whereas at
least the interval class value 27,74-30,3 as much as 1 child
with percentage of 1.9%.
The data of gross motor development score of 4-5 years
old in Serang Sub-district, if presented in the form of
diagram is as follows:
Diagram of the Gross Motor Development Result
Scores
A scoring and scoring guide using the Likert scale
approach. Where the number of alternative answer options
that is 4 with the highest score is 4 and the lowest score is
1, and the number of indicators is 10. The guide
determination assessment and scoring are as follows:
Lowest score = lowest answer option x number of
indicators
= 1 x 10 = 10
Highest score = highest answer option x number of
indicators
= 4 x 10 = 40
𝐿𝑜𝑤𝑒𝑠𝑡 𝑆𝑐𝑜𝑟𝑒 =
𝐿𝑜𝑤𝑒𝑠𝑡 𝑆𝑐𝑜𝑟𝑒
𝐻𝑖𝑔ℎ𝑒𝑠𝑡 𝑆𝑐𝑜𝑟𝑒
𝑥 100%
=
10
40
𝑥 100% = 25%
𝐻𝑖𝑔ℎ𝑒𝑠𝑡 𝑆𝑐𝑜𝑟𝑒 =
𝐻𝑖𝑔ℎ𝑒𝑠𝑡 𝑆𝑐𝑜𝑟𝑒
𝐻𝑖𝑔ℎ𝑒𝑠𝑡 𝑆𝑐𝑜𝑟𝑒
𝑥 100%
=
40
40
𝑥 100% = 100%
Range = Highest Score – Lowest Score =
100% - 25% = 75%
Category (K) = 2 (Good and Less)
Interval (I) = Range (R) / Category (C) = 75% / 2 =37,5%
So,
Good ≥ 62,5%
Low < 62,5%
𝐼𝑛𝑑𝑖𝑣𝑖𝑑𝑢𝑎𝑙 𝑆𝑐𝑜𝑟𝑒 =
𝑟𝑒𝑠𝑢𝑙𝑡 𝑠𝑐𝑜𝑟𝑒
ℎ𝑖𝑔ℎ𝑒𝑠𝑡 𝑠𝑐𝑜𝑟𝑒
𝑥 100%
So, the value of gross motor development of children with
the following frequencies:
Diagram of Gross Motor Child Development Values
.
Based on the data above, gross motor development of
children aged 4-5 years in Serang district can be classified
in the following table:
Table 11: Interpretation of Gross Motor Development
Score
Scoring Categories Frequency Percentage
≥ 62,5% Good 37 68,4 %
< 62,5% Low 17 31,6 %
54 100,00 %
Source: Data is processed using IBM SPSS Statistic 22,
2017
Based on the table above, the category of gross motor
development of children aged 4-5 years in Serang Sub-
district as objects in this study were 37 children have a
gross motor development with a good percentage of
68.4%, but still found as many as 17 children with low of
gross motor development with a percentage of 31.6%.
DISCUSSION AND CONCLUSION
The result of tabulation between nutritional status and
gross motor development of 4-5 years old in Serang Sub-
district with the number of 54 children generally obtained
good or normal nutritional status with good gross motor
development as much as 29 children (53,7%). This was
supported by Almatsier (2013), stated that children who
have good nutritional status will experience growth and
good development as well. Good nutritional status can
occur when the body obtains sufficient nutrient intake so
as to enable the creation of physical growth, brain
development, and optimal health.

7. The Correlation between Nutrition Status and Gross Motor Development: A Case in Banten, Indonesia
Int. J. Public Health Epidemiol. Res. 097
In the results of the study also found less nutritional status
or underweight with less rough motor development
amounted to as many as 4 children (8.8%). Children who
have less or underweight nutrition status will lead to
stunted growth and development. The occurrence of
imbalance between the nutrients consumed by the use of
nutrients by the body, so that growth and development
become disrupted as a result of physical growth becomes
slower and brain development becomes not optimal.
These results were supported by research conducted by
Humaira, et al (2014), entitled "the relationship of
nutritional status and psychomotor development in infants
in Lapai Padang". The result of the research showed that
children with psychomotor development were higher in
normal nutritional status (87,6%) than the abnormal
nutritional status (52,9%). Analysis of the relationship
between two variables obtained p value = 0.002.
Statistically there was a significant relationship between
nutritional status with psychomotor development of
toddlers. So that required more attention, especially from
parents to keep the nutritional needs of toddlers to be
fulfilled and add insight about the development of toddlers
in order to develop according to age of children.
From result of data analysis that ρ-value showing 0,000
indicates existence of correlation of nutritional status with
gross motor development of child aged 4-5 years and
correlation coefficient value (𝑟𝑠) equal to 0,757. Based on
the interpretation table r value in Sugiyono (2012) the level
of relationship between nutritional status with the
development of gross motor development of children is in
the coefficient interval between 0.60 to 0.799, so it has a
strong relationship level.
Based on the results of data analysis and discussion that
have been described, it can be drawn the conclusion
according to the purpose in this research that:
1. There was a positive and significant correlation between
nutritional status with gross motor development of
children aged 4-5 years in Serang district. The analysis
of the calculated correlation coefficient (𝑟𝑠) is 0.757
(positive sign) with strong relation rate and has a
significant value of 0.000 less than significant 0.01.
2. The contribution of the influence given by the variable of
nutritional status toward the gross motor development
variable of 4-5 years old in Serang district is 57,3%,
while 42,7% is the contribution given by other factors
not examined.
The results of this study provided information that
nutritional status played an important role in the
development of gross motor child. So that teachers and
parents can synergized in the care of children with
attention to the nutritional status of children and improve
the gross motor development of children with various
stimulation.
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Citation: Yuniarti TE, Atin F, Nureni F (2019). The
Correlation between Nutrition Status and Gross Motor
Development: A Case in Banten, Indonesia. International
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Copyright: © 2019 Yuniarti et al. This is an open-access
article distributed under the terms of the Creative
Commons Attribution License, which permits unrestricted
use, distribution, and reproduction in any medium,
provided the original author and source are cited.

9. The Correlation between Nutrition Status and Gross Motor Development: A Case in Banten, Indonesia
Int. J. Public Health Epidemiol. Res. 099
APPENDIX
THE DATA TABULATION OF NUTRITION STATUS AGED 4-5 YEARS OLD SERANG DISTRICT, SERANG CITY 2017
NO NAMA JK BB (kg) TB (cm) Z-Score KATEGORI
1 AF L 13 101 -3SD - <-2SD 2
2 ACP P 14 104 -2SD - 2SD 3
3 HF P 15 107 -2SD - 2SD 3
4 AN L 11 100,5 <-3SD 1
5 HSN P 13,5 106,5 -3SD - <-2SD 2
6 IMP P 17 107,5 -2SD - 2SD 3
7 MRF L 18 105,5 -2SD - 2SD 3
8 MS P 12 100,5 -3SD - <-2SD 2
9 AFC P 16 103,5 -2SD - 2SD 3
10 AR P 15 103,5 -2SD - 2SD 3
11 AN P 13 100 -2SD - 2SD 3
12 MAA L 12,5 100 -3SD - <-2SD 2
13 ADC L 20 104 >2SD 4
14 ZH P 16 104 -2SD - 2SD 3
15 KJA P 15 102 -2SD - 2SD 3
16 NK P 14,5 110 -3SD - <-2SD 2
17 MKF L 16 104 -2SD - 2SD 3
18 MMA L 14 100,5 -2SD - 2SD 3
19 YFR P 13 105 -3SD - <-2SD 2
20 MDG P 16 109 -2SD - 2SD 3
21 INA L 12,5 102 -3SD - <-2SD 2
22 TAA L 21 109 -2SD - 2SD 3
23 FRR P 12 104 <-3SD 1
24 KRA L 17 108 -2SD - 2SD 3
25 RAN P 14,5 111 -3SD - <-2SD 2
26 SF L 16 103 -2SD - 2SD 3
27 AZN L 14 106 -3SD - <-2SD 2
28 ALS P 19 107 -2SD - 2SD 3
29 ASS P 18 106 -2SD - 2SD 3
30 DFP L 18 102 -2SD - 2SD 3
31 GFI P 12 100 -3SD - <-2SD 2
32 MAA L 20 109 -2SD - 2SD 3
33 KAT L 22 113 -2SD - 2SD 3
34 MFH L 15 110 -3SD - <-2SD 2
35 LL P 17 103 -2SD - 2SD 3
36 MK L 16 114 -3SD - <2SD 2
37 FN P 12,5 102 -3SD - <-2SD 2
38 MRN P 16 102 -2SD - 2SD 1
39 PG P 16 100 -2SD - 2SD 3
40 HPC P 17 106 -2SD - 2SD 3
41 SAN P 12 99 -3SD - <-2SD 2
42 MRA L 15 106,5 -2SD - 2SD 3
43 MR L 19 109 -2SD - 2SD 3
44 AP L 13 103 <-3SD 1
45 MEA P 26 109 >2SD 4
46 AA P 17 104 -2SD - 2SD 3
47 KL P 13 103 -3SD - <-2SD 2
48 AIS L 30 108 >2SD 4
49 RZ L 16 101,5 -2SD - 2SD 3
50 HB L 19 110 -2SD - 2SD 3
51 KS P 18,5 113 -2SD - 2SD 3
52 EG L 15 110 -3SD - <-2SD 2
53 NZ P 14 102 -3SD - <-2SD 2
54 FZ L 26 114 >2SD 4