Información de la revista
Vol. 35. Núm. S2.
The 3rd International Nursing and Health Sciences Students and Health Care Professionals Conference (INHSP)
Páginas S601-S603 (Enero 2021)
Respuestas rápidas
Compartir
Compartir
Descargar PDF
Más opciones de artículo
Visitas
No disponible
Vol. 35. Núm. S2.
The 3rd International Nursing and Health Sciences Students and Health Care Professionals Conference (INHSP)
Páginas S601-S603 (Enero 2021)
Open Access
Clean water supply vulnerability model for improving the quality of public health (environmental health perspective): A case in Spermonde islands, Makassar Indonesia
Visitas
...
Agus Bintara Birawidaa,
Autor para correspondencia
, Erniwati Ibrahima, Anwar Mallongia, Alif Alliullah Al Rasyidib, Yahya Thamrinc, Nurul Aqilah Gunawand
a Environmental Health Department, Faculty of Public Health, Hasanuddin University, Indonesia
b Environmental Health Department, Health Polytechnic of Ujung Pandang, Indonesia
c Occupational Safety and Health Department, Faculty of Public Health, Hasanuddin University, Indonesia
d Computer Laboratory, Faculty of Public Health, Hasanuddin University, Indonesia
Este artículo ha recibido
No disponible
Visitas
(Actualización diaria de datos)

Under a Creative Commons license
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Figuras (1)
Tablas (2)
Table 1. Evaluation of measurement for the entire model.
Table 2. Evaluation of the coefficient of the structural model and relation with the research hypothesis.
Mostrar másMostrar menos
Abstract
Objective

This study aims to generate a clean water vulnerability model based on exogenous variables: accessibility, socio-economic, and population behavior to endogenous variables: occupancy density and water vulnerability to support the quality of public health in Spermonde island.

Methods

This research was conducted in three islands (Spermonde), namely Lae-Lae, Barang Caddi, and Lumu-Lumu. The research design is observational analytic with a cross-sectional approach. The 212 respondents were obtained using a simple random sampling method. A questionnaire was employed to interview respondents related to the level of environmental vulnerability. Data were analyzed using structural equation modeling (SEM).

Results

The study found some variables are not statistically significant associated with water vulnerability such as accessibility to occupancy density (P=0.095), socio-economic to occupancy density (P=0.991), accessibility to water vulnerability (P=0.383), socio-economic against water vulnerability (P=0.417), occupancy density for water vulnerability (P<0.01). In contrast, behavior to occupancy density (P=0.002), behavior towards water vulnerability (P=below 0.01) have a significant association.

Conclusion

Community behavior and occupancy density are the main factors associated with the vulnerability of clean water on the small spermonde islands. Adaptation behavior with water vulnerability such as water storage and saving needs to be improved.

Keywords:
Vulnerability
Clean water
Spermonde islands
Texto completo
Introduction

Isolation and low economy cause poor quality of life on the island. Low productivity is the determination of the low economy to sustain people's lives.1 This condition illustrates the high vulnerability of people who are living in small islands.

The various problems are interrelated in the Spermonde islands. Economic problems affect the health factors of coastal and island communities, including basic hygiene, availability of clean water, and limited food. Pollution can occur in water, based on the calculation of the Water Quality Index (WQI), as many as 14 out of 18 well water is polluted.2 Other than that, bad behavior in food and beverage management can worsen the quality.3 Sanitation behavior also influences the water crisis, such as how to taking and using water.

Small islands with all their problems are not only environmental problems. Ecologically, small islands are fragile and vulnerable. Small size, limited land, limited resources, geographical distribution, and isolation from the market, making small islands vulnerable. The vulnerability received the attention of the Small Island Development State (SIDS) countries. Island communities tend to have water sources that do not meet the requirements and the inability to maintain cleanliness. This makes the island an area that is vulnerable to diseases and deaths due to sanitation-related diseases.4

Low availability of clean water can be a risk factor for several diseases that often occur, ranging from ordinary stomach aches, diarrhea, typhus, intestinal worms, dysentery, to urinary tract infections. This is like what happened in the Spermonde Islands in the Makassar City area. Lae-Lae Puskesmas diarrhea data in 2016 amounted to 48 and increased in 2017 to 55 cases and 2018 in January as many as 7 cases. Barrang Caddi Health officer data in 2017 with 96 cases. At the same time, the data in Lumu-Lumu diarrhea became the seventh-ranked disease that often suffered by people in 2017, with 266 cases.

Small island ecosystems also have limited carrying capacity of both land and clean water. Some small islands have a fairly large population density. Population density on small islands will cause pressure on the environment and have an impact on decreasing island resources, for example, the availability of clean water, which is increasingly scarce. One study conducted on the Malaysian island of Kapas showed an increase in foreign and local tourist arrivals, increasing the level of water demand.5

The vulnerability assessment of small islands is part of the sustainable management of the islands. Therefore this research was conducted to develop a model of a clean water vulnerability based on Exogenous variables: Accessibility, Socio-Economic, and Population Behavior to Endogenous variables: occupancy density and water vulnerability on the spermonde island.

MethodLevel of environmental vulnerability

Some indicators are included in the assessment of the level of environmental vulnerability with the analysis of the Structure Equation Modeling (SEM). Exogenous variables comprise accessibility, behavior, and social economy. Endogenous variables are divided into occupancy density and water vulnerability.

Subjects

A total of 212 samples was collected in the spermonde islands around Makassar City using a simple random sampling method. There were three islands included in this study, namely Lae-Lae totaling 86 houses, Barrang Caddi totaling 77 houses, and Lumu-Lumu totaling 49 houses.

The minimum sample size needed is determined by the Lemeshow formula:

Information:

n=volume of sample

N=volume of population

d=level of desired absolute accuracy

Z1−α2m2=level of the desired meaning

P=proportion estimate

Research design

This research is a quantitative study using observational analytic design with a cross-sectional approach that aims to develop a model of factors that affect water vulnerability on the small Spermonde islands.

Data collection

Data was collected by researchers using a questionnaire. Instrument validation was tested with the Pearson product-moment correlation technique. While the reliability of the instrument was tested using Alpha Cronbach. Data were analyzed using SEM analysis with the Amos program 18.

Result

The estimated values of water vulnerability can be described in Fig. 1.

Fig. 1.

Model of accessibility, socio-economic, and population behavior to endogenous variables: occupancy density and water vulnerability on the Spermonde island.

(0,27MB).

The model test results that are presented in Fig. 1 above are evaluated based on the goodness of fit indices in Table 1 by presenting the model criteria as well as the critical values that have data suitability.

Table 1.

Evaluation of measurement for the entire model.

Model measurer  Criteria ‘fit’  Result  Evaluation of model 
RMSEA  ≤0.08  0.077  Fit 
GFI  >0.90  0.882  Marginal fit 
AGFI  >0.90  0.829  Marginal fit 
RMR  <0.08  0.049  Fit 
CFI  >0.90  0.877  Marginal fit 
NFI  >0.90  0.804  Marginal fit 
IFI  >0.90  0.880  Marginal Fit 
RFI  >0.90  0.750  Marginal fit 

From the evaluation of the proposed model, it can be seen that the evaluation of the construct of two variables produces values below the fit criteria, meaning that the model is by following per under the data so that the next model suitability test can be performed. The complete measurement model for water vulnerability has shown that there is a fit model that matches the data with the model (Table 1).

Referring to the principle of Parsimony Theory, the model above shows a good level of acceptance. Therefore it implies that the model can be accepted and developed further. Based on the empiric model proposed in this study, testing of hypotheses can be carried out through the path coefficient on the structural equation model. If the p-value is smaller than 0.05, then the relationship between variables is significant. The test results are presented in the following Table 2:

Table 2.

Evaluation of the coefficient of the structural model and relation with the research hypothesis.

Hypothesis (path)  Evaluation of model direct effect
  Fakor loading (estimate)  p-value  Conclusion 
Occupancy densityaccessibility  0.365  0.095  Not significant 
Occupancy densitysocial economy  0.002  0.991  Not significant 
Occupancy densitybehavior  2.193  0.002  Significant 
Water vulnerabilityaccessibility  0.128  0.383  Not significant 
Water vulnerabilitysocial economy  0.081  0.417  Not significant 
Water vulnerabilitybehavior  4.105  <0.01  Significant 
Water vulnerabilityoccupancy density  0.338  <0.01  Significant 

Table 2 depicts that this study found a relationship between behavior with occupancy density, behavior with water vulnerability, and occupancy density with water vulnerability.

Discussion

About 43% of the respondents were far away from clean water access and facilities. This condition had an impact on the vulnerability of clean water. In Tanzania, access to clean water has greatly affected the well-being of the Tanzanian community.6 Utilization of tap/pipe water and group water management are the best solutions in the provision of clean water in Tanzania.6

In contrast to the results of the research with SEM analysis models where the level of community access on the Spermonde islands to clean water is not significant. This happens because the community is not too constrained by access to resources. The community can go to the source of clean water to traders on each island by private transportation. The same results the accessibility to occupancy density are unrelated. This is caused because residents who have long lived on the island for generations have more initiative to develop by leaving their island.

The socio-economic level of clean water vulnerability is not significant. Even though the community has a low income, they prioritize buying water over other goods. The water scarcity on the small island requires them to buy water at a high price. The water scarcity on a small island has occurred 70 years ago and is still ongoing.7 The same results suggest that socioeconomic factors are insignificant in residential densities.8 This is because people who live for generations on the island, move from the island to the mainland with the path of urbanization. They are urbanizing because they want to get a better income. In contrast to communities in the Philippines, they have more choice to remain on the island than relocation to the mainland.8

This study also highlights that community behavior has a significant effect on water vulnerability. This is due to the high response in dealing with water vulnerability. People choose to save money in water use. Also, they harvest rainwater harvesting. The influence of community behavior on occupancy density was statistically significant. The reason is that married people choose to remain in their parents’ homes so that the number of occupants in one house increases and solidifies. Residential density also occurs in Sweden, so people try to save in the use of clean water.9

The study supports the argument that the effect of residential density on clean water with a value of 88.8% is very vulnerable to clean water. The results of research with SEM that occupancy density has a significant relationship to the vulnerability of clean water. The vulnerability of clean water is a problem. As many as 1.2 million deaths occur due to unsafe water. It is estimated that by 2025, half of the world's population will experience water shortages.10

Conclusions

It is concluded that community behavior and occupancy density are the main factors for the vulnerability of clean water on the small islands of Spermonde. Adaptation behavior with water vulnerability such as water storage and saving needs to be improved.

Conflicts of interest

The authors declare no conflict of interest.

References
[1]
J. Sudrajat.
Livelihood strategy of coastal community: a case study in Tanjung Saleh Islands, Kubu Raya District, Indonesia.
Komunitas Int J Indones Soc Cult, 8 (2016), pp. 22-31
[2]
A.B. Birawida, A. Faisal.
Development of water quality index of island wells in Makassar City.
Journal of Physics: Conference Series, vol. 1155, pp. 12106
[3]
A.B. Birawida, M. Selomo, U.W. Ismita.
Environmental health hazards against bacterial contamination of cutlery on the small island of Makassar.
IOP Conference Series: Earth and Environmental Science, vol. 235, pp. 12023
[4]
M. Ersel.
Water and sanitation standards in humanitarian action.
Turkish J Emerg Med, 15 (2015), pp. 27-33
[5]
N.U. Kura, M.F. Ramli, S. Ibrahim, et al.
A preliminary appraisal of the effect of pumping on seawater intrusion and upconing in a small tropical island using 2D resistivity technique.
[6]
M.Á. García-Valiñas, J. Miquel-Florensa.
Water service quality in Tanzania: access and management.
Int J Water Resour Dev, 29 (2013), pp. 451-471
[7]
K.S. Máñez, S. Husain, S.C.A. Ferse, et al.
Water scarcity in the Spermonde Archipelago, Sulawesi, Indonesia: past, present and future.
Environ Sci Policy, 23 (2012), pp. 74-84
[8]
M.L. Jamero, M. Onuki, M. Esteban, et al.
Small-island communities in the Philippines prefer local measures to relocation in response to sea-level rise.
Nat Clim Chang, 7 (2017), pp. 581-586
[9]
K. Mjörnell, D. Johansson, H. Bagge.
The effect of high occupancy density on IAQ, moisture conditions and energy use in apartments.
Energies, 12 (2019), pp. 4454
[10]
World Health Organization.
Drinking-Water.
(2019),

Peer-review under responsibility of the scientific committee of the 3rd International Nursing, Health Science Students & Health Care Professionals Conference. Full-text and the content of it is under responsibility of authors of the article.

Copyright © 2021. SESPAS
Idiomas
Gaceta Sanitaria

Suscríbase a la newsletter

Opciones de artículo
Herramientas
es en

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?