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"Pelayanan nifas sangat bermanfaat untuk mengetahui kondisi ibu, sehingga bila tejadi morbiditas postpartum segera dapat ditangani dan kematian ibu dapat dicegah. Namun pemanfaatan pelayanan nifas di Indonesia masih sangat rendah dan dibawah target, kunjungan nifas lengkap sekitar 32 persen, angka ini masih jauh dari yang ditargetkan yaitu sebesar 90 persen pada tahun 2015. Penelitian ini menggunakan metode cross sectional dengan data sekunder Riskesdas 2013. Populasi dalam penelitian ini adalah 497 kabupaten/kota, dan sampel penelitian ini sebanyak 192 kabupaten/kota. Analisis dilakukan dengan uji regresi logistic ganda. Hasil penelitian didapatkan faktor yang paling dominan menentukan status Kunjungan Nifas lengkap adalah persentase K4 antenatalcare (B=-0,056). Penelitian ini menyarankan untuk pengkajian ulang standar pelayanan minimal di kabupaten/kota, peningkatan kualitas antenatalcare, peningkatan program home visit dan Komunikasi, Informasi dan Edukasi.

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Postpartum care is very useful to know the condition of the mother, so that when the immediate postpartum morbidity occurred can be handled and maternal deaths can be prevented. However, postnatal care utilization in Indonesia is still very low and below target, postpartum visits about 32 percent, this figure is still far from the target is equal to 90 per cent in 2015. This study used cross sectional method with secondary of Riskesdas 2013. The population 497 districts / cities, and the sample as much as 192 districts / cities. The analysis was performed by multiple logistic regression.

The result showed that the most dominant factor determining the status of postpartumcare Visits is the percentage K4 antenatalcare (B = -0.056). This study suggests for the review of minimum service standards in the district / city, antenatalcare quality improvement, increase in home visit program and Communication, Information, and Education."

"[ABSTRAKPenelitian ini bertujuan untuk memprediksi kemungkinan terjadinya fiscal distresskabupaten/kota di Indonesia Tahun 2010-2013 dengan memodifikasi variabelTrussel dan Patrick (2009) dalam memprediksi fiscal distress.Penelitian inimerupakan penelitian kuantitatif dengan menggunakan metode regresi logistikbiner dengan jumlah sampel sebanyak 1.820 kabupaten/kota-tahun.Hasilpenelitian menunjukkan adanya indikasi fiscal distress di beberapakabupaten/kota di Indonesia utamanya di tahun 2010. Lebih lanjut penelitianmembuktikan bahwa terdapat lima variabel yang signifikan dalam memprediksikemungkinan terjadinya fiscal distress, yaitu Pendapatan Asli Daerah sebagaipersentase pendapatan dengan korelasi positif, dana perimbangan sebagaipersentase dari pendapatan dengan korelasi positif, belanja modal sebagaipersentase dari pendapatan dengan korelasi positif dan pertumbuhan pendapatandengan korelasi negatif serta variabel dummy kabupaten dengan korelasi negatif.

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ABSTRACTThis study aims to predict the likelihood of fiscal distress in districts/cities inIndonesia in 2010-2013 by modifying Trussel and Patrick (2009) variables inpredicting fiscal distress. This research is a quantitative study using binary logisticregression method with a total sample of 1.820 districts/cities-years. The resultsshow indications of fiscal distress in some districts/cities in Indonesia especiallyin 2010. Furthermore, the study shows that there are five significant variables inpredicting the likelihood of fiscal distress, namely local own-revenue as apercentage of revenue with a positive correlation, intergovernmental funds as apercentage of revenue with a positive correlation, capital expenditures as apercentage of revenue with a positive correlation and revenue growth with anegative correlation and dummy variabel district with a negative correlation.;This study aims to predict the likelihood of fiscal distress in districts/cities inIndonesia in 2010-2013 by modifying Trussel and Patrick (2009) variables inpredicting fiscal distress. This research is a quantitative study using binary logisticregression method with a total sample of 1.820 districts/cities-years. The resultsshow indications of fiscal distress in some districts/cities in Indonesia especiallyin 2010. Furthermore, the study shows that there are five significant variables inpredicting the likelihood of fiscal distress, namely local own-revenue as apercentage of revenue with a positive correlation, intergovernmental funds as apercentage of revenue with a positive correlation, capital expenditures as apercentage of revenue with a positive correlation and revenue growth with anegative correlation and dummy variabel district with a negative correlation.;This study aims to predict the likelihood of fiscal distress in districts/cities inIndonesia in 2010-2013 by modifying Trussel and Patrick (2009) variables inpredicting fiscal distress. This research is a quantitative study using binary logisticregression method with a total sample of 1.820 districts/cities-years. The resultsshow indications of fiscal distress in some districts/cities in Indonesia especiallyin 2010. Furthermore, the study shows that there are five significant variables inpredicting the likelihood of fiscal distress, namely local own-revenue as apercentage of revenue with a positive correlation, intergovernmental funds as apercentage of revenue with a positive correlation, capital expenditures as apercentage of revenue with a positive correlation and revenue growth with anegative correlation and dummy variabel district with a negative correlation.;This study aims to predict the likelihood of fiscal distress in districts/cities inIndonesia in 2010-2013 by modifying Trussel and Patrick (2009) variables inpredicting fiscal distress. This research is a quantitative study using binary logisticregression method with a total sample of 1.820 districts/cities-years. The resultsshow indications of fiscal distress in some districts/cities in Indonesia especiallyin 2010. Furthermore, the study shows that there are five significant variables inpredicting the likelihood of fiscal distress, namely local own-revenue as apercentage of revenue with a positive correlation, intergovernmental funds as apercentage of revenue with a positive correlation, capital expenditures as apercentage of revenue with a positive correlation and revenue growth with anegative correlation and dummy variabel district with a negative correlation.;This study aims to predict the likelihood of fiscal distress in districts/cities inIndonesia in 2010-2013 by modifying Trussel and Patrick (2009) variables inpredicting fiscal distress. This research is a quantitative study using binary logisticregression method with a total sample of 1.820 districts/cities-years. The resultsshow indications of fiscal distress in some districts/cities in Indonesia especiallyin 2010. Furthermore, the study shows that there are five significant variables inpredicting the likelihood of fiscal distress, namely local own-revenue as apercentage of revenue with a positive correlation, intergovernmental funds as apercentage of revenue with a positive correlation, capital expenditures as apercentage of revenue with a positive correlation and revenue growth with anegative correlation and dummy variabel district with a negative correlation.;This study aims to predict the likelihood of fiscal distress in districts/cities inIndonesia in 2010-2013 by modifying Trussel and Patrick (2009) variables inpredicting fiscal distress. This research is a quantitative study using binary logisticregression method with a total sample of 1.820 districts/cities-years. The resultsshow indications of fiscal distress in some districts/cities in Indonesia especiallyin 2010. Furthermore, the study shows that there are five significant variables inpredicting the likelihood of fiscal distress, namely local own-revenue as apercentage of revenue with a positive correlation, intergovernmental funds as apercentage of revenue with a positive correlation, capital expenditures as apercentage of revenue with a positive correlation and revenue growth with anegative correlation and dummy variabel district with a negative correlation.;This study aims to predict the likelihood of fiscal distress in districts/cities inIndonesia in 2010-2013 by modifying Trussel and Patrick (2009) variables inpredicting fiscal distress. This research is a quantitative study using binary logisticregression method with a total sample of 1.820 districts/cities-years. The resultsshow indications of fiscal distress in some districts/cities in Indonesia especiallyin 2010. Furthermore, the study shows that there are five significant variables inpredicting the likelihood of fiscal distress, namely local own-revenue as apercentage of revenue with a positive correlation, intergovernmental funds as apercentage of revenue with a positive correlation, capital expenditures as apercentage of revenue with a positive correlation and revenue growth with anegative correlation and dummy variabel district with a negative correlation.;This study aims to predict the likelihood of fiscal distress in districts/cities inIndonesia in 2010-2013 by modifying Trussel and Patrick (2009) variables inpredicting fiscal distress. This research is a quantitative study using binary logisticregression method with a total sample of 1.820 districts/cities-years. The resultsshow indications of fiscal distress in some districts/cities in Indonesia especiallyin 2010. Furthermore, the study shows that there are five significant variables inpredicting the likelihood of fiscal distress, namely local own-revenue as apercentage of revenue with a positive correlation, intergovernmental funds as apercentage of revenue with a positive correlation, capital expenditures as apercentage of revenue with a positive correlation and revenue growth with anegative correlation and dummy variabel district with a negative correlation.;This study aims to predict the likelihood of fiscal distress in districts/cities inIndonesia in 2010-2013 by modifying Trussel and Patrick (2009) variables inpredicting fiscal distress. This research is a quantitative study using binary logisticregression method with a total sample of 1.820 districts/cities-years. The resultsshow indications of fiscal distress in some districts/cities in Indonesia especiallyin 2010. Furthermore, the study shows that there are five significant variables inpredicting the likelihood of fiscal distress, namely local own-revenue as apercentage of revenue with a positive correlation, intergovernmental funds as apercentage of revenue with a positive correlation, capital expenditures as apercentage of revenue with a positive correlation and revenue growth with anegative correlation and dummy variabel district with a negative correlation., This study aims to predict the likelihood of fiscal distress in districts/cities inIndonesia in 2010-2013 by modifying Trussel and Patrick (2009) variables inpredicting fiscal distress. This research is a quantitative study using binary logisticregression method with a total sample of 1.820 districts/cities-years. The resultsshow indications of fiscal distress in some districts/cities in Indonesia especiallyin 2010. Furthermore, the study shows that there are five significant variables inpredicting the likelihood of fiscal distress, namely local own-revenue as apercentage of revenue with a positive correlation, intergovernmental funds as apercentage of revenue with a positive correlation, capital expenditures as apercentage of revenue with a positive correlation and revenue growth with anegative correlation and dummy variabel district with a negative correlation.]"

"Gonore adalah masalah kesehatan masyarakat yang menjadi salah satu penyumbang terbesar dalam beban global infeksi menular seksual. Menurut Kementerian Kesehatan RI, wanita pekerja seks langsung WPSL adalah kelompok berisiko penyumbang kasus gonore terbanyak di Indonesia di tahun 2007, 2011, dan 2015. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berhubungan dengan infeksi gonore pada WPSL di 16 kabupaten/kota di Indonesia tahun 2015. Data yang digunakan adalah data Survei Terpadu Biologis dan Perilaku 2015 dengan jumlah sampel penelitian ini sebesar 2654 responden. Desain penelitian yang digunakan adalah cross sectional. Prevalensi gonore pada WPSL dalam penelitian ini sebesar 21,3. Faktor risiko infeksi gonore pada WPSL adalah usia muda PR 1,56; 95 CI: 1,35-1,81, konsisten menggunakan kondom PR 1,18; 95 CI: 1,02-1,38, melakukan bilas vagina PR 1,41; 95 CI: 1,04-1,91, baru menjadi WPSL PR 1,59; 95 CI: 1,37-1,85, berhubungan seks pertama kali saat berusia muda PR 1,24; 95 CI: 1,07-1,45, memiliki banyak pelanggan PR 1,33; 95 CI: 1,15-1,54, kurangnya pemberian informasi dan rujukan oleh petugas lapangan PR 1,55; 95 CI: 1,02-2,37, dan mengidap IMS lain PR 3,21; 95 CI: 2,73-3,78. Sedangkan faktor protektif infeksi gonore pada WPSL adalah sudah kawin PR 0,67; 95 CI: 0,56-0,79. Oleh karena itu disarankan untuk lebih memasifkan, mengintensifkan, serta menggunakan metode yang efektif dalam melaksanakan program skrining rutin bagi WPSL berusia muda, baru menjadi WPSL, memiliki banyak pelanggan, dan mengidap IMS lain pelatihan cara bernegosiasi dengan pelanggan untuk mau menggunakan kondom bagi WPSL berusia muda dan baru menjadi WPSL; serta pemberian informasi, khususnya tentang konsistensi penggunaan kondom dan larangan membilas vagina, serta dan rujukan oleh petugas lapangan.

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Gonorrhea is a public health issue that becomes one of the biggest contributors to STIs global burden. According to Indonesian Ministry of Health, direct female sex workers FSWs are risk group who contribute most of the gonorrhea cases in Indonesia. This research aims to determine factors associated with gonorrhea infection among direct female sex workers in 16 districts cities in Indonesia in 2015. The data used is 2015 Integrated Biological and Behavioral Survey with samples of 2654 respondents. The design study used in this research is cross sectional. The prevalence of gonorrhea in direct female sex workers in this research is 21,3. Risk factors for gonorrhea in direct FSWs are young age PR 1,56 95 CI 1,35-1,81, use condom consistently PR 1,18 95 CI 1,02-1,38, doing vaginal douching PR 1,41 95 CI 1,04-1,91, new as direct FSW PR 1,59 95 CI 1,37-1,85, first sex at young age PR 1,24 95 CI 1,07-1,45, has many clients PR 1,33 95 CI 1,15-1,54, lack of information and referral given by field officer PR 1,55 95 CI 1,02-2,37, dan has another STIs PR 3,21 95 CI 2,73-3,78. While the protective factor for gonorrhea in direct FSWs are already married PR 0,67 95 CI 0,56-0,79. Therefore, it is recommended to be more massive, intensive, and use an effective method to do daily screening for direct FSWs who young, new as direct FSW, has many clients, and has another STIs training on how to negotiate with clients to use condom for direct FSWs who young and new as direct FSW provision of information specifically about use condom consistently and prohibition of vaginal douching, as well as referral by field officer."