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7. CONCLUSION<br />

According to ORDIT analysis with five and three indicators and<br />

sal5 & sal3 as indicators, the most severe districts of infant health<br />

are districts 90 and 87. The least severe districts are district 73,<br />

31, and 35 (all are cities). The most severe districts are in West<br />

Java. The two least severe districts are cities in Central Java and<br />

one least severe (best) district is a city in East Java. The least<br />

severe areas are city type districts. The most severe districts (90<br />

and 87) are also confirmed by the ULS method as the worst<br />

districts for infant health. These districts are in the hotspots area<br />

of three indicators. To improve infant health in Java, the<br />

government, especially the Health Department should give more<br />

attention to districts 90 (Indramayu) and 87 (Cirebon) which are<br />

the worst districts for infant health. Hopefully through this study,<br />

ORDIT ranking and ULS hotspot detection methods will be<br />

recognized to be useful micro tools to support decision makers in<br />

the e-governance.<br />

8. ACKNOWLEDGEMENTS<br />

I would like to acknowledge the valuable guidance of Prof. G.P.<br />

Patil, Center for Statistical Ecology and Environmental Statistics,<br />

Department of Statistics, the Pennsylvania State University. Many<br />

thanks to the Directorate General of Higher Education Indonesia<br />

for financial support through the Doctoral Sandwich Program that<br />

I received.<br />

9. REFERENCES<br />

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[3] OECD. Health at a Glance 2011: OECD Indicators, OECD<br />

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[7] Biro Pusat Statistik, Indonesia Population by Province 1971,<br />

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d_subyek=12&notab=1, 2010<br />

[8] Myers, W. and Patil, G.P. Preliminary Prioritization Based<br />

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Complexes in Landscape Ecology, with Applications to<br />

Restoration, Remediation, and Enhancement. Environmental<br />

Ecological Statistics. 17, 4, 2010, 411-436.<br />

[9] Jahan, S. Poverty and infant mortality in the Eastern<br />

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[10] DEPKES RI. Bank Data Pusdatin-DepKes RI. 2009.<br />

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atetablepti<br />

[11] Roger,S.B., Pebesma, E.J., Rubio,V.G. Applied Spatial Data<br />

Analysis with R, Springer, Washington. 2008.<br />

[12] Moore, C. Mapping with R: Choropleth of 3rd grade reading<br />

proficiency in the Twin Cities, Article. April 19, 2008.<br />

[13] Patil, G.P., Joshi, S.W., Koli, R.E. PULSE, Progressive<br />

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Ecological Statistics, 11, 2004, 183 – 197.<br />

http://www.stat.psu.edu/~gpp.<br />

10

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