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Jumlah penduduk tahun 2010 melebihi proyeksi jumlah penduduk oleh BPS. Dengan laju pertumbuhan penduduk 1,49% dikhawatirkan akan terjadi ledakan penduduk. Penelitian ini dilakukan untuk melihat pengaruh faktor sosial ekonomi terhadap jumlah anak dalam satu rumah tangga. Hasil penelitian menunjukkan bahwa faktor sosial ekonomi yang terdiri dari status ekonomi (kuintil pengeluaran), pekerjaan ibu, pendidikan ibu dan lokasi tempat tinggal berpengaruh secara signifikan terhadap jumlah anak dalam satu rumah tangga. Kata kunci : faktor sosial ekonomi, jumlah anak
Abstract Total population in 2010 exceeded the projected total population by the BPS. With the population growth rate of 1.49% of the population explosion feared would happen. This study was conducted to see the influence of socioeconomic factors on the number of children in one household. The results showed that socioeconomic factors comprising economic status (quintiles spending), maternal employment, maternal education and location of residence significantly affected the number of children in one household. Key words : socioeconomic factor, number of children
Program Keluarga Harapan (PKH) aims to improve the standard of living of the community by accommodating the utilization of health services. One health component that is required as a PKH Beneficiary Family (KPM) is that pregnant women must deliver in a health care facility. The purpose of this study is to look at the effect of PKH on the use of health facilities for delivery in Indonesia. This study used a cross sectional design using Susenas and Podes data in 2018 with a total sample of 8,636 mothers aged 15-49 who had had their last live deliver in the two-year period before the survey was conducted. The analysis uses the Propensity Score Matching (PSM) method with the Logit model that looks at the OR value. PKH has an influence on the use of maternity in health facilities. Dominant
factors that influence mothers in utilizing health facilities for deliveryh are urban residential areas, mothers and household heads with higher education, ownership of communication and information tools, ownership of transportation facilities and complementary assistance JKN-PBI. PKH implantation and other supporting factors have beneficial benefits quite large in order to help the community, especially the poor and vulnerable population to get the right to Utilize health care facilities for delivery.
Tuberculosis puts a tremendous burden for patients, families, communities andgovernment budgets. In addition to the work productivity loss, the most profoundeffect is the decrease in the level of well-being even impoverishment. The purposeof this study is analyze the economic burden by patient and households as a resultof Tuberculosis. It is an explanatory retrospective descriptive study with crosssectional design. Total respondents were 71, they were pulmonary TB patientswith smear positive. Sampling technique used probability proportional to size.Estimated total economic burden of illness due to Tuberculosis int the Bengkulucity is Rp 7.259.600, which is 28.48% of the average household income. The mostdominant component costs are indirect costs amounting to RP 5.134.400,-whilethe direct cost is Rp 2.125.200,-. Patients with low income, age over 43 years, donot have health insurance, have a household size of more than 4, do copingstrategy and have ever hospitalized will experience catastrophic compared to othergroups, which then affecting the level of household welfare and poverty. It is aneed to produce a health policy with the that can protect householdsexpencesndue to do TB illness, especially expenses on non medical costs andindirect costs.Keywords: Economic Burden, Coping Strategy, catastrophic,impoverishment.
IPM merupakan indikator keberhasilan negara (pendidikan, kesehatan dan ekonomi). Kesehatan diukur dengan angka harapan hidup (AHH) yang perhitungannnya erat dengan angka kematian ibu dan anak. Metode : Analisa regresi logistic data sekunder : Riskesdas 2007 dan Susenas 2007 dan AHH BPS tahun 2007. Hasilnya indikator p value <0,05: persalinan oleh nakes (OR=6,590), imunisasi BCG (OR=2,686), prevalensi gizi kurang (OR=2,457) dan prevalensi diare (OR=1,893). Kesimpulan kabupaten/ kota dengan cakupan kurang baik mempunyai AHH ≤68,7 tahun lebih banyak. Kab/kota dengan prevalensi gizi kurang dan diare tinggi mempunyai AHH ≤68,7 tahun lebih banyak. Alokasi pembiayaan prioritas pada 52 kabupaten. Kata kunci : Angka harapan hidup, indikator anak, indikator ibu.
HDI (Human Development Index). HDI is measured by education, health and economic. From the health view point the measurement life expectancy (LE) at birth is heavily connected with child and maternal mortality. Methode with logistic regression analyzing data utilizing from Riskesdas 2007 and Susenas 2007 with LE from BPS 2007.Result: Indicators (p value < 0,05) are delivery helped by health providers (OR= 6.592), BCG immunization coverage (OR=2.686), prevalence of malnutrition (OR=2.457), prevalence of diarrhea ( OR=1.893). Conclusion: Districts/municipalities which have unsatisfactory category will have more LE ≤68,7 years. Districts/municipalities which have prevalence of malnutrition and diarrhea are high category will have more LE ≤68,7 years. Alocation budget must interes iteracy key words:Life expectancy, child health indicators, mother health indicators.
Kata kunci: Kualitas, pengendalian kualitas, data, informasi, sistem informasi
This thesis discusses the quality control of data in membership information systems BPJS Kesehatan after transformed from the company became a legal entity on January 1st 2014. Study was a qualitative descriptive study. The results showed that factors such as employee, customers data, information technology, work procedures or mechanisms, product design, information technology infrastructure maintenance, quality standards and feedback affect the quality of membership data. Therefore, it is recommended that BPJS Kesehatan controlling those factors continuously, so that the resulting information is relevant, accurate, complete and timely.
Key words: Quality, quality control, data, information, information system
