Stunting is a condition of chronic malnutrition accompanied by complications of the disease. The prevalence of stunting in children under five in Indonesia is 29.9% and in Lampung province, 27.4% as well as most in rural areas. The condition of prevalence of stunting in Lampung is in the position of below the national figure but still above 20% (the WHO target is less than 20%). Regency Tanggamus number edit decreased to 3.3%, however, thereby 25 villages have a number stunting prevalence above 10%. Village with land The average yard is wide enough to be used by maximum as land economical and needs handling, so it can be an acceleration program stunting prevention. Destination This study explains the effect of fertility and utilization of land yards against _ stunting in Tanggamus Regency. The method uses a case-control design with locations in 16 villages in the Tanggamus district working area with as many as 200 respondents, using multiple logistic regression analysis. There are 3 variables from 12 variables that simultaneously affect the incidence of stunting, namely the motivation of the head of the family in utilizing the yard of the house, the experience of the head of the family in utilizing the land of the home yard and the level of soil fertility in the yard. The low fertility rate with motivation-experience of using poor yard land, indirectly affects the incidence of stunting in Tanggamus Regency by 27.6% and 73.4% is influenced by other factors.
Stunting is a condition of chronic malnutrition accompanied by complications of the disease [1]. The prevalence of stunting in children under five in Indonesia is 29.9% and in Lampung province, 27.4% as well as most in rural areas. The condition of prevalence of stunting in Lampung is in the position of below the national figure but still above 20% (the WHO target is less than 20%) [2]. In 2021, County Tanggamus number of edits decreased to 3.3%, however, thereby 25 villages have a number stunting prevalence above 10%.
Stunting impacts the bad, and the good term short and long. The period the short child will risk and easy catch disease infection, while impact Long term, in adulthood risk suffering disease chronic [3-5]. Stunting happens from the nutritional status of the early mother before pregnancy when pregnant [6] and this condition is thought to be influenced by local habits on utilization and level of fertility land home yard. palawija or the like, for sufficient nutrition family [7].
Land The average yard in the village is quite spacious, it can be used by maximum as land economical [8], nutrient availability quality and characteristics such as the total N element, Nitrogen needed by plants, are generally a factor barrier on unfertilized soils. _ phosphorus is one element very macro _ important for growing plants but the levels in plants are more low of N and K. By In general, potassium is abacn sorbed by plants in the form of K+, and is found in various forms levels in the soil [9]. Taking into account quality land and its use to increase the needs for nutrition family and income family, need to be studied special related to the nutritional status of children under five in the family concerned.
Consideration of the attitudes and behaviour of parents of toddlers in the use of land yards and quality fertility soil can indirectly affect the incidence of stunting. Low income affects household nutrition [10]. The incidence of stunting is inseparable from the habits, cultural beliefs, knowledge, and perceptions of the local community in terms of fulfilling family nutrition, these beliefs can also affect the nutritional status of the family [10]. Doing utilization of land required technique update for maximizing potency land agriculture, both on marginal land and land yard, as one effort to encourage productivity land agriculture for endurance food family [11].
From the description above, it is necessary to study the effect of fertility and the use of home yard land on the incidence of stunting in Tanggamus Regency. This study utilizes local wisdom in managing the yard of the house for the prevention of stunting by the relevant agencies.
How to influence fertility and utilization land yard against _ stunting in Tanggamus Regency.
Explaining the effect of fertility and utilization land yard against _ the incidence of stunting in Tanggamus District
The location of this research is planned in the village of yan have stunting prevalence top 25 level Regency Tanggamus Lampung Province with research time from April to. September 2022. Research locations in 25 villages stunting loci in 12 puskesmas working areas and 9 sub-districts district Tanggamus.
This research uses an approach to Quantitative Analysis by designing case-control research.
Subject research in this study is toddlers 2-3 years old, with source information biological mother interviewed toddler. To complete information other Interviews by open to the public, community leaders, village officials, and health workers as well as cadre health. The number of samples in every village of 10 toddlers (5 stunted toddlers and 5 non-stunting toddlers ). Couple stunting and non-stunted samples of the same age.
To collect data from the respondent (biological mother and toddler) using a questionnaire structured and sample data soil yard took as much as two pots per respondent. Interview respondent carried out by officer’s health that has trained in the use of query and retrieval sample soil yard.
Respondents in this study were mothers of biological children, and the target toddlers were toddlers who were used as research samples selected based on a proportional random sample. The lowest age for toddlers is 3 years and the highest is 5 years the age of the biological mother as the lowest respondent is 19 years and the highest is 52 years. The father of a toddler is the head of the household with the lowest age of 23 years and the highest being 62 years old. The results of the re-measurement of toddlers, to validate the stunting status of toddlers, the lowest was 66 cm and the highest is 11 0 cm.
The characteristics of the respondents provide an overview of the condition of the respondents who are the samples in the study so that the distribution of the quality of the data generated is known. The number of target children under five was female (54%) and based on the order of birth, the most children were the 2nd child (40.%%) and the 3rd child (25%). Then the characteristics of the respondents based on the education level of the most elementary school education (34.5%) and the education level of the head of the household is also the highest at the elementary school level (42%).
The bivariate test is one of the functions for the selection of candidate variables to be analyzed advanced on stage regression multivariate. Bivariate test results that can be entered into the advanced test stage regression multivariate is bivariate with p-value 0.25 and below. As for the 3 ( three ) eliminated variables for Step advanced analysis the aesthetic variable land yard (0.707), active group Tani (0.886) and Response knowledge and skills utilization land yard (0.884)
The results of the bivariate test at 12 ( two twelve ) variables on factors influencing fertility land and use to stunting incidents by statistics, have a meaningful influence on stunting, and there are 3 ( two ) large variables the effect, which can be seen from OR value, there is OR values above 3 ( three ) are the first largest variable is motivation utilization land yard (OR = 4.37); the two experience variables utilization land yard (OR = 3.78) and the three availability variables Land Yard (OR = 3.46).
The value of OR (odds ratio), can give information size big the influence of these variables on stunting incidents. Even though the variable is an indirect influence variable but Thus this variable can give a description contribution to factor or other variables either directly or indirectly to stunting incident. The size OR value on motivation variable utilization land yard has meant that families (parents toddlers) who do not have motivation utilise land yard for needs food family will make an impact to the incidence of stunting is 4 times more big compared to families who have motivation take advantage to land the yard for stunting prevention, as well as meaning OR values for other variables.
In Table 5 the results of the results analysis regression on the output of "Case Processing Summary" explains that the whole respondent has all observed (200 respondents ), meaning that there is no sample missing respondents, then _ gift coding on the dependent variable, code 1 = case and 0 = control.
Furthermore, table 5 also explains the value of -2 Log Likelihood amounting to 277,259 which will be compared to the Chi-Square value at the level 0.05 significance with df of N-1 with N is 200, then df = 200-1 = 199. value chi-square ( alpha 0.05; df 199) = 220.99. So -2 more Likelihood Logs big from chi Square value count, model fit. Significant Value on the criteria Omnibus Tests of Model Coefficient of 0.001, (more small of 5% = 0.05) so that it is concluded that the independent/independent variables used, independently together influence to stunt, or at least there is one influential independent variable. On the criteria Classification Table, Percentage the accuracy of the model in classifying observation by 64%, from 200 observations, there are 128 correct observations in the classification expressed by the regression model logistics. And the Hosmer and Lemeshow Test criteria, with a significant result of 0.105 (above 0.05) explained that the model can explain the influence of fertility variables land and use of land yard to Stunting incidents in Tanggamus district [12]. The conclusion from table 5, is that all the regression analysis criteria submitted have Fulfill conditions for getting the accuracy of the model in the equation regression for predicting the incidence of stunting on the variables of the influence of soil fertility and the use of yard land in Tanggamus Regency.Table 6 also provides an overview of the 7 (seven) stages of the selection process elimination, and there are 6 (six) eliminated variables because not statistically significant (p-value above 0.05), so getting equality regression that is cool and fulfils criteria p-value below 0.05.
Table 1: Characteristics of Toddlers and Parents Toddler (Respondent)
Characteristics Toddlers and Parents Toddler | n | Minimum | Maximum | Average | Standard Deviation |
Age child | 200 | 3.00 | 5 | 3.6800 | 0.80676 |
child's height | 198 | 66.10 | 110. | 87.6328 | 8.42881 |
father's age | 197 | 23.00 | 62 | 37.9340 | 6.84677 |
Age mother | 198 | 19.00 | 52 | 32.6061 | 6.19533 |
Table 2: Characteristics of Toddlers and Respondents by Education Level
Description | Amount | Per cent |
Type Sex Toddler |
|
|
Man | 92 | 46.0 |
Woman | 108 | 54.0 |
Toddler child to |
|
|
1st child | 43 | 21.5 |
2nd child | 81 | 40.5 |
3rd child | 50 | 25.0 |
4th child | 17 | 8.5 |
5th child | 2 | 1.0 |
6th child | 3 | 1.5 |
7th child | 3 | 1.5 |
8th child | 1 | 0.5 |
Father's Education |
|
|
SD | 84 | 42.0 |
junior high school | 59 | 29.5 |
high school | 46 | 23.0 |
College _ | 6 | 3.0 |
Total | 195 | 97.5 |
Not there is data | 5 | 2.5 |
Mother's Education |
|
|
SD | 69 | 34.5 |
junior high school | 60 | 30.0 |
high school | 57 | 28.5 |
College _ | 12 | 6.0 |
Not there is data | 2 | 1.0 |
Total | 200 | 100.0 |
Table 3: Characteristics and Results of Data Collection
| Description | Amount | Per cent |
| Experience utilization land yard | ||
| Not enough | 76 | 38.0 |
| yes | 124 | 62.0 |
| Interest utilization land yard | ||
| Not enough | 73 | 36.5 |
| yes | 127 | 63.5 |
| Motivation utilization land yard | ||
| Not enough | 82 | 41.0 |
| yes | 118 | 59.0 |
| Knowledge utilization land yard | ||
| Not enough | 85 | 42.5 |
| yes | 115 | 57.5 |
| Availability Land yard | ||
| Not enough | 96 | 48.0 |
| yes | 104 | 52.0 |
| Role extension worker Agriculture | ||
| Not enough | 69 | 34.5 |
| yes | 131 | 65.5 |
| Aesthetics land yard | ||
| Not enough | 166 | 83.0 |
| yes | 34 | 17.0 |
| Active group farmer | ||
| Not enough | 115 | 57.5 |
| yes | 85 | 42.5 |
| Response knowledge and skills utilization land yard | ||
| Not enough | 75 | 37.5 |
| yes | 125 | 62.5 |
| Response emotions and attitudes utilization land yard | ||
| Not enough | 75 | 37.5 |
| yes | 125 | 62.5 |
| Response behaviour real utilization land yard | ||
| Not enough | 60 | 30.0 |
| yes | 140 | 70.0 |
| Yard Soil Fertility Level | ||
| Not enough Fertile | 77 | 38.5 |
| Fertile | 123 | 61.5 |
| Total | 200 | 100.0 |
Table 4: Bivariate Test Influence Fertility Land and Use the Land Yard to Stunting Incident
| Description | Stunting Status | Total | P-value | OR | Information | ||||
| Case | Control | n | % | ||||||
| n | % | n | % | ||||||
| Experience utilization land yard | |||||||||
| 53 | 69.7 | 23 | 30.3 | 76 | 100 | 0.00 1 | 3.78 | Candidate |
| 47 | 37.9 | 77 | 62.1 | 124 | 100 | |||
| Interest utilization land yard | |||||||||
| 48 | 65.8 | 25 | 34.2 | 73 | 100 | 0.001 | 2.77 | Candidate |
| 52 | 40.9 | 75 | 59.1 | 127 | 100 | |||
| Motivation utilization land yard | |||||||||
| 58 | 70.7 | 24 | 29.3 | 82 | 100 | 0.00 1 | 4.37 | Candidate |
| 42 | 35.6 | 76 | 64.4 | 118 | 100 | |||
| Knowledge utilization land yard | |||||||||
| 53 | 62.4 | 32 | 37.6 | 85 | 100 | 0.003 | 2.40 | Candidate |
| 47 | 40.9 | 68 | 59.1 | 115 | 100 | |||
| Availability Land yard | |||||||||
| 63 | 65.6 | 33 | 34.4 | 96 | 100 | 0.00 1 | 3.46 | Candidate |
| 37 | 35.6 | 67 | 64.4 | 104 | 100 | |||
| Role extension worker Agriculture | |||||||||
| 43 | 62.3 | 26 | 37.7 | 69 | 100 | 0.011 | 2.15 | Candidate |
| 57 | 43.5 | 74 | 56.5 | 131 | 100 | |||
| Aesthetics land yard | |||||||||
| 84 | 50.6 | 82 | 49.4 | 166 | 100 | 0.707 | 1.15 | Elimination |
| 16 | 47.1 | 18 | 52.9 | 34 | 100 | |||
| Active group farmer | |||||||||
| Not enough | 57 | 49.6 | 58 | 50.4 | 115 | 100 | 0.886 | 0.96 | Elimination |
| yes | 43 | 50.6 | 42 | 49.4 | 85 | 100 | |||
| Response knowledge and skills utilization land yard | |||||||||
| 38 | 50.7 | 37 | 49.3 | 75 | 100 | 0.884 | 1.04 | Elimination |
| 62 | 49.6 | 63 | 50.4 | 125 | 100 | |||
| Response emotions and attitudes utilization land yard | |||||||||
| 46 | 61.3 | 29 | 38.7 | 75 | 100 | 0.013 | 2.08 | Candidate |
| 54 | 42.3 | 71 | 56.8 | 125 | 100 | |||
| Response behaviour real utilization land yard | |||||||||
| 38 | 63.3 | 22 | 36.7 | 60 | 100 | 0.014 | 2.17 | Candidate |
| 62 | 44.3 | 78 | 55.7 | 140 | 100 | |||
| Yard Soil Fertility Level | |||||||||
| 46 | 59.7 | 31 | 40.3 | 77 | 100 | 0.029 | 1.90 | Candidate |
| 54 | 43.9 | 69 | 56.1 | 123 | 100 | |||
| 100 | 100 | 200 | |||||||
Description: OR = size statistics that measure strength connection between two events; n = number of respondents
Table 5: Assessment of Analysis Results Regression Logistics Double
No. | Logistics Regression Analysis Output | Score | Cut of Point | Conclusion |
1 | Case Processing Summary | Missing Case 0 | - | no there is information from blank respondents _ |
2 | Dependent Variable Encoding | code control = 0 case = 1 | - | Giving code on the dependent variable has been appropriate |
3 | Omnibus Tests of Model Coefficients | 0.00 1 | 0.05 | The result of the model equation is accepted |
4 | Iteration History | Initial -2 Log-Likelihood: 277,259 – 2 30. 854 = 46,405 | >chi table 220.99 | Fit Model |
5 | Model Summary Nagelkerke R Square | 0. 276 ( 27.6 % ) _ | The bigger the better | estimate the dependent variable from the independent variable |
6 | Classification Table | 64% correct observations on 128 of 200 samples (67+61 = 128) |
| Percentage model accuracy |
7 | Hosmer and Lemeshow Test | 0.105 | above 0.05 _ | goodness of fit |
Table 6 explains the process elimination of each stage performed on a variable that has a p-value more than 0.05 and the largest in each stage to stage all independent variables with a p-value below 0.05.
After getting parameter estimation in Table 7 carried out testing the significance of the parameters of the results simultaneously (together). The simultaneous test used for knowing the variables of soil fertility and the use of yard land in the model together influences _significant to stunting incident. Families who have the motivation to utilise land yards simultaneously with experience and fertility variables soil can prevent the incidence of stunting is 4.2 times compared to families who do not have the motivation to utilise land yards.
Table 6: Selection Testing 9 (Nine) Variables on the Effect of Soil Fertility and Use of Yard Land on Stunting in Tanggamus District
Stages Testing/selection Regression Analysis | Coefficient | p-value | OR | Information |
Stage 1 |
|
|
| |
Experience utilization land yard ( 1) | 1.003 | 0.010 | 2,728 | |
Interest utilization land yard ( 1) | 0.539 | 0.163 | 1,714 | |
Motivation utilization land yard ( 1) | 1.315 | 0.004 | 3.725 | |
Knowledge utilization land yard ( 1) | -0.418 | 0.368 | 0.658 | |
Availability Land Yard ( 1) | 0.753 | 0.087 | 2.122 | |
Role extension worker Agriculture ( 1) | -0.071 | 0.862 | 0.931 | Elimination stage 2 |
Response emotions and attitudes utilization land yard ( 1) | 0.223 | 0.599 | 1,250 | |
Response behaviour real utilization land yard ( 1) | -0.403 | 0.391 | 0.668 | |
Yard Soil Fertility Level (1) | 1.381 | 0.000 | 3.977 | |
Constant | -1,753 | 0.000 | 0.173 |
|
Stage 2 |
|
|
| |
Experience utilization land yard ( 1) | 0.985 | 0.009 | 2,677 | |
Interest utilization land yard ( 1) | 0.537 | 0.164 | 1,711 | |
Motivation utilization land yard ( 1) | 1,299 | 0.004 | 3.665 | |
Knowledge utilization land yard ( 1) | -0.410 | 0.375 | 0.663 | |
Availability Land Yard ( 1) | 0.740 | 0.088 | 2.095 | |
Response emotions and attitudes utilization land yard ( 1) | 0.229 | 0.587 | 1,258 | Elimination stage 3 |
Response behaviour real utilization land yard ( 1) | -0.411 | 0.379 | 0.663 | |
Yard Soil Fertility Level (1) | 1.388 | 0.000 | 4.007 | |
Constant | -1,763 | 0.000 | 0.171 |
|
Stage 3 |
|
|
| |
Experience utilization land yard ( 1) | 0.995 | 0.008 | 2,705 | |
Interest utilization land yard ( 1) | 0.515 | 0.180 | 1,673 | |
Motivation utilization land yard ( 1) | 1.316 | 0.003 | 3.727 | |
Knowledge utilization land yard ( 1) | -0.382 | 0.406 | 0.683 | |
Availability Land Yard ( 1) | 0.775 | 0.071 | 2.170 | |
Response behaviour real utilization land yard ( 1) | -0.317 | 0.465 | 0.729 | Elimination Stage 4 |
Yard Soil Fertility Level (1) | 1.373 | 0.000 | 3.948 | |
Constant | -1,731 | 0.000 | 0.177 |
|
Stage 4 |
|
|
| |
Experience utilization land yard ( 1) | 0.992 | 0.008 | 2,695 | |
Interest utilization land yard ( 1) | 0.497 | 0.194 | 1,644 | |
Motivation utilization land yard ( 1) | 1,249 | 0.004 | 3,488 | |
Knowledge utilization land yard ( 1) | -0.407 | 0.375 | 0.666 | Elimination Stage 5 |
Availability Land Yard ( 1) | 0.679 | 0.096 | 1971 | |
Yard Soil Fertility Level (1) | 1.354 | 0.000 | 3,873 | |
Constant | -1,724 | 0.000 | 0.178 |
|
Stage 5 |
|
|
| |
Experience utilization land yard ( 1) | 0.962 | 0.010 | 2,617 | |
Interest utilization land yard ( 1) | 0.465 | 0.221 | 1,591 | Elimination Stage 6 |
Motivation utilization land yard ( 1) | 1.083 | 0.005 | 2,954 | |
Availability Land Yard ( 1) | 0.550 | 0.147 | 1,733 | |
Yard Soil Fertility Level (1) | 1.362 | 0.000 | 3.905 | |
Constant | -1.752 | 0.000 | 0.173 |
|
Stage 6 |
|
|
| |
Experience utilization land yard ( 1) | 1.046 | 0.004 | 2.847 | |
Motivation utilization land yard ( 1) | 1.183 | 0.002 | 3.266 | |
Availability Land Yard ( 1) | 0.608 | 0.105 | 1,837 | Elimination Stage 7 |
Yard Soil Fertility Level (1) | 1.301 | 0.000 | 3,673 | |
Constant | -1,660 | 0.000 | 0.190 |
|
Stage 7 |
|
|
| |
Experience utilization land yard ( 1) | 1.185 | 0.001 | 3.271 | |
Motivation utilization land yard ( 1) | 1.431 | 0.000 | 4.182 | |
Yard Soil Fertility Level (1) | 1.251 | 0.000 | 3.495 | |
Constant | -1.495 | 0.000 | 0.224 |
|
Table 7: The Result of the Equation Variable Regression of the Influence of Soil Fertility and Use of Yard Land on the Incidence of Stunting in Tanggamus Regency
| Variable | Coefficient | p-value | OR | OR CI. 95% | |
Lower | On | ||||
Experience utilization land yard (1) | 1.185 | 0.001 | 3.271 | 1,631 | 6,560 |
Motivation utilization land yard (1) | 1.431 | 0.01 | 4.182 | 2,097 | 8,342 |
Yard Soil Fertility Level (1) | 1.251 | 0.001 | 3.495 | 1,739 | 7.022 |
Constant | -1.495 | 0.001 | 0.224 | ||
Table 8: Indicator Soil Fertility
Indicator | n | % |
Nitrogen Content | ||
Low | 58 | 29.0 |
Currently | 139 | 69.5 |
Tall | 3 | 1.5 |
Content passport |
|
|
Low | 1 | 0.5 |
Currently | 99 | 49.5 |
Tall | 100 | 50.0 |
Potassium Content |
|
|
Low | 85 | 42.5 |
Currently | 111 | 55.5 |
Tall | 4 | 2.0 |
Organic Carbon Content |
|
|
Low | 151 | 75.5 |
Currently | 22 | 11.0 |
Tall | 27 | 13.5 |
Soil Acidity |
|
|
sour | 1 | 0.5 |
Rather sour | 152 | 76.0 |
Neutral | 47 | 23.5 |
Total | 200 | 100.0 |
Families who have experience utilising land yards simultaneously with motivation and fertility variables soil can prevent the incidence of stunting is 3.2 times compared to inexperienced families utilising land the prohibition. Families who have a level fertility land good yard_ simultaneously with motivation and experience variables utilise land yard can prevent the incidence of stunting is 3.4 times compared to families with low levels of fertility land the yard is not good. Quantifying the influence of the 3 variables on the incidence of stunting is 27.6 %, which can be seen from the value of R-square in table 5, which means that 73.4% is influenced by other variables, either directly or indirectly. These other variables can be done research advanced for getting factor more risk of stunting deep.
By general analysis results fertility soil seen from degrees acidity that soil residents on acidity remember medium ( slightly acid ) 76% and acidity neutral only 23.5%, and on the indicator 75% organic carbon at a level low, this condition describes fertility in the study area is not good, so it needs intervention for by party authorized.
Experience backed by motivation can support _ success in achieving the purpose. Experience and motivation is the thing that holds role important in improving the effectiveness job. Someone who has high experience and motivation will attempt as much as possible so that his work can be successful as well as shape performance and then increase performance work [13]. Experience also very takes effect for increased performance. Experience is the level of mastery of knowledge and skills that can be measured from the time of work and during a period certain [14]. As in a _ type work carried out in a unit/organization/business entity, experience something professional will make it easy To do his job and have knowing point weakness his job and already know to be able to handle it. Likewise, will family who has to utilise land in the yard and have known problems and results will add his motivation. Needs family from basic ingredients food everyday origin from the land yard will very help availability food family and resilience food his family. Diversity food can prevent the incidence of stunting, toddlers with an intake of less variety of food have a risk of stunting occurs and the rate of education, knowledge and preferences take effect by significant consumption of food local for stunting prevention [15].
The land yard is partially owned land big Public Village, in the form of soil that is around the house that can provide a comfortable and healthy environment _ [16]. Utilization of Land yard is alternative to do for Fulfill the needs fruit fruits and vegetable vegetables and in this activity, the community can produce products for household preparations, Usage _ of the land yard not only helps increase the needs of the family but also beauty and freshness, and can increase productivity land to increase economy family [8], [11]. Plant horticulture is one _ commodity suitable plant planted in the land yard. Plant horticulture has nature fast harvested, has the content nutrition needed by humans, easy _ to plant and maintained, in addition to being able to Fulfill the needs of food and nutrition family, plant horticulture cultivated on land _ yard can add income to families [16]. Utilization of land yards required good and systematic planning especially in keeping sustainable resources and improving household welfare _ [17]. A capable household managing yard the house is good, beside for household needs, it can also be used to increase the economy from sales of proceeds from the garden yard [18].
System agriculture vertical is cultivation farming done _ vertically or terraced, this system is suitable for applied to land cramped or in dense settlements population, alternatively shaped hydroponics [19]. Interest and awareness society begins to change and practice plant viticulture because income society _ middle to lower pushed for produce needs food from the crops grown independence at home so that more save on household expenses [20].
Fertility soil is a benchmark measure in the successful effort of cultivation plants, in fertility soil amount of available nutrients must be balanced to ensure the growth and development of plants. The quality of every land is different, and the different characteristics of soil are indicated by the type of soil, technique management land, and characteristics of different physical and biological _ [21]. Guard fertility land equals _ guard supply food. Guard fertility soil at optimum level needs to be done to produce healthy plants, maximize crop yields, and _ the soil remains healthy. There are 17 nutrients essential needed in plants, there is 3 elements base main that is Hydrogen, Oxygen, and Carbon are available. Fertility Soil can be improved by adding organic matter to the soil. Organic matter can be in the form of residue from plants or animals [22].
There are 3 variables out of 12 variables simultaneous take affect the incidence of stunting, namely the motivation head family in using land yard, the experience head family in using land yard and the level of fertility land on the land yard. Low fertility rate with experience - motivation utilise land yard with a less good indirectly affect to the incidence of stunting in the district Tanggamus amounted to 27.6% and 73.4% influenced by factors another.
The fertility of the soil in the study area is not good, so it needs intervention by a party-authorized, service Agriculture and its staff in collaboration with the District Health Office Tanggamus.
The study advanced the incidence of stunting on other factors outside intervention health ranks.
To the leader of Faculty University Medicine and its staff, we thank you have provided financial support for this research and District Health Office Tanggamus and his staff, we thank you has given location permits and ease of data collection as well as Supporting others.
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