other residents. The incidence of diarrhoea and skin 
diseases are still widely encountered. Therefore it is 
necessary to analyze the model related factors that 
affect the nutritional status of coastal areas Surabaya. 
This study aims to determine the model of the factors 
that can affect the nutritional status of children under 
five in the coastal area of Surabaya. 
2 METHODS 
This research was used cross-sectional design. The 
samples were 104 child-mother pairs in coastal area 
of Surabaya were selected by simple random 
sampling. Age of children between 1-3 years old in 3 
Posyandu (subunit of community health care center) 
in Kejeran Urban Village Surabaya.  This research 
was conducted in March and April 2017.  
The data collecting of this research was 
questionnaire to measure nutritional status and 6 
factors that affect nutritional pattern of children. The 
National Center of Health Statistics (NCHS) was used 
to measure nutritional status of toddler. We only use 
weight-for-height to make assessment the whole of 
nutritional status. We not consider acute nutritional 
problem (weight-for-age) and history nutrition 
problem in the past (height-for-age) (Indonesian 
Ministry of Health, 2011). 
Factors that have influence on nutritional status 
measured by questionaire wich are contain 6 factor. 
We take data by questionaire for 5 factors, food 
hygiene, frequency of eating, educational status of 
parent, parent income and frequency of toddler illness 
(febris, diarrhea and respiratory disease). That are 
considered as a factor that affect management on 
feeding in toddler. It also influence on kognitif, 
affectif and psychomotor of parent who take care 
their children. 
We measure data selection of daily food 
consumption by using Semi Quantitative-Food 
Frequency Questionnaire (FFQ). We use FFQ to 
assess the frequency of food consumed within the 
past month by adding an estimated number of 
servings consumed by toddlers. We make interview 
mother by use open question. The questionnaire 
contains questions about the composition of foods 
grouped into types of carbohydrate, protein, fat, 
vitamin and mineral composition. The answer given 
by the respondent is an answer that contains about 
how often to consume foods that have been grouped 
by type and how much is eaten in one meal. Based on 
respondents' answers, the researchers calculated the 
size of grams / day on each food. To determine the 
size of each gram, respondents are given a photo of 
the food model in which each household size has been 
set amount in grams. After knowing the size of each 
food, the respondent's food menu calculated the 
number of calories by inputting the food menu on the 
nutri-survey computer program. In the program, will 
produce the number of calories, carbohydrates, 
proteins, fats, vitamins, and minerals consumed by 
respondents. 
The value is classified according to the Indonesian 
Ministry of Health 1996 in (Anggraeni, 2012) above 
the need if the value is> 120%, normal if the value is 
90-119%, the deficit is mild if the value is 80-89%, 
moderate deficit if the value is 70-79%, and a heavy 
deficit if the value is <70%. Previous research of FFQ 
found that FFQ was valid instrument to measure 
frequent habitual nutrient. FFQ was used to measure 
the frequency of habitual nutrient in Asian ethnic 
(Singapore, Chinese, Indian and Malay) 
(Neelakantan et al., 2016). FFQ also useful for 
assessing habitual dietary intake in collegiate athletes.  
Especially for calcium, vitamin C, vegetables, fruits, 
and milk and dairy products (Sunami et al., 2016). In 
more specific, FFQ also valid instrumen for measure 
valid rankings for intake of energy, nutrients, foods, 
and food groups in this sample of infants and toddlers 
(Palacios et al., 2017). 
Data collection conducted by door to door to 
interview for questionnaire data. The measurement of 
nutritional status held in 3 Posyandu by measure body 
weight and height of children. After selection by 
simple random sampling we use ordinal regression 
statistical test to analyse model of factor that affect 
nutritional status. 
3 RESULTS 
Table 1 presented about nutritional status of toddler 
based on weight-for-height in coastal area Surabaya. 
The result showed that the most nutritional status of 
toddler in normal category (75 children, 71%). There 
are 14 children (13,3%) in category wasting and 9 
children (8,6%) with severely wasting.
 
Table 2 showed about selection of daily 
consumption for toddler in coastal area in Surabaya. 
Most of toddler have a proper daily intake (61 toddler, 
58,7%). But 10 toddler get nutrient more than needs. 
Its potentially become fat. Another children in severe 
deficit consumption in range mild (2 children, 1,9%), 
moderate (11 children, 10,6%) and severe (20 
children, 19,2%).