Din Nurika Agustina, . and Anang Kurnia, . and Anik Djuraidah, . (2015) PROFILE ANALYSIS OF UNMET NEED FOR FAMILY PLANNING INDICATORS USING SDKI AND SUSENAS DATA. Proceeding of International Conference On Research, Implementation And Education Of Mathematics And Sciences 2015 (ICRIEMS 2015), Yogyakarta State University, 17-19 May 2015. ISSN 978-979-96880-8-8
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Abstract
Data requirements for government development programs, present in time series and small area estimation with good accuracy, is necessary to achieve the objectives of the program effectively and efficiently. There is an indicators used by Indonesia government to measure the achievement of the population growth control by family planning. It is namely unmet need for family planning indicators. The indicator is obtained from the Indonesian Demographic and Health Survey (IDHS) conducted in 1987, 1991, 1994, 1997, 2002-2003, 2007 and 2012 by provincial level estimation. Noting the estimation period and the level of estimation, unmet need for family planning availability in annual period by regency/municipality level estimation is necessary for better monitoring the achievement of family planning programs. Alternative fulfillment of the necessarily is unmet need for family planning estimation. In this research, the data estimation is done using fertility and family planning data which available in the National Socioeconomic Survey (Susenas). Susenas is an annual survey with regency/municipality level estimation. The profile analysis results of the data on IDHS and susenas 2012, can statistically prove the similarities of both data. Then based on the tests result, Susenas data conclude to be used for estimate indicator of unmet need for family planning by regency/ municipality level estimation. Key words: Profile Analysis, Family Planning, SDKI, Susenas.
| Item Type: | Article |
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| Subjects: | Prosiding > ICRIEMS 2015 > Mathematics & Mathematics Education |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Pendidikan Matematika > Matematika |
| Depositing User: | Administrator |
| Date Deposited: | 15 Jul 2015 21:19 |
| Last Modified: | 15 Jul 2015 21:19 |
| URI: | http://eprints.uny.ac.id/id/eprint/23634 |
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