PENGEMBANGAN BASIS DATA SURVEILANS FAKTOR RISIKO KEJADIAN DEMAM BERDARAH DENGUE DI DINAS KESEHATAN KOTA MATARAM

Sistem surveilans epidemiologi DBD yang sedang berjalan saat ini di Dinas Kesehatan Kota Mataram belum dapat menyediakan informasi kejadian DBD berdasarkan faktor risiko. Di samping itu juga proses pengolahan dan analisis data masih dilakukan secara manual sehingga tingkat konsistensi dan akurasi data masih kurang. Tujuan dari penelitian ini adalah mengembangkan basis data faktor risiko kejadian DBD. Jenis penelitian ini adalah penelitian tindakan (action research). Penelitian ini dilaksanakan di Dinas Kesehatan Kota Mataram propinsi NTB dari bulan April 2014 sampai dengan Agustus 2014. Informan pada penelitian ini terdiri dari 3 (tiga) orang yaitu Kepala Seksi P2PB, Petugas pengelola Program P2 DBD dan Petugas Surveilans Penyakit. Jenis data yang digunakan adalah data primer dan sekunder. Perancangan basis data meliputi perancangan logik dan fi sik. Pada perancangan logik yang dilakukan adalah normalisasi data, membuat relasi antar data, menggambarkan entity relationship diagram (ERD) dan dilanjutkan ke desain fi sik dengan membuat prototype basis data menggunakan aplikasi perangkat lunak Epi Info for Windows version 3.5.1. Uji coba dilaksanakan dengan melibatkan 2 (dua) orang informan. Evaluasi uji coba basis data surveilans faktor risiko kejadian DBD yaitu dengan menilai tingkat kemudahan, kecepatan, keakuratan dan kelengkapan data yang dihasilkan. Hasil dari Penelitian ini adalah adanya basis data surveilans faktor risiko kejadian DBD yang baru yang dapat digunakan secara mudah, cepat dan dapat menghasilkan informasi yang lebih akurat

Self-help group therapy: The enhancement of self-care ability and quality of life among the elderly in Bali, Indonesia

Worldwide, the number of people aged 60 years and over has rapidly increased along with the increase in life expectancy. An aging population faces challenges in relation to improving self-care ability and quality of life. This study has aimed to identify the influence of self-help group therapy on the self-care ability and quality of life of elderly people in Bali, Indonesia. We employed a quasi experimental analysis using a pre-test and post-test. A total of 25 retired military officers participated in the study. Two questionnaires (WHO-BREF and WHOQOL-OLD) were adopted to compare the self-care ability and the quality of life results before and after the self-help group therapy was implemented. The data was analysed using an independent t-test. The results showed that the self-help group therapy had a significant effect on the improved self-care ability among the elderly with a mean difference of 0.2, t = 2.449 and p-value of 0.02. The self-help group therapy also significantly improved quality of life with a mean difference of 11.7, t= -8.476, and p-value of 0.00. Empowering the elderly and their families as well as the community is strongly recommended in order to establish effective self-help group therapy for the elderly

Spatial Modeling of Infant Mortality Rate In South Central Timor Regency Using GWLR Method With Adaptive Bisquare Kernel And Gaussian Kernel

Geographica lly Weighted Logistic Regression (GWLR) was regression model consider the spatial fac tor, which could be used to analyze the IMR. The number of Infant Mortality as big as 100 cases in 20 15 or 12 per l000 live birth in South Central Timor Regency. The aim of this study was to determine the best modeling of GWLR with fixed weighting function and Adaptive Gaussian Kernel in the case of infant mortality in South Central Timor District in 20 15. The response variable (Y) in this study was a case of infant mortality , while variable predictor was the percentage of neonatal first visit (KN I) (X I), the percentage of neonatal visit 3 times (Complete KN) (X2), the percentage of pregnant get Fe tablet (X3), percentage of poor fami lies pre prosperous (X4). This was a non-reactive study, which is a measurement which individuals surveyed did not realize that they are part of a study, wi th analysis unit in 32 sub-districts of South Central Timor Di stricts. Data ana lysis used open source program that was Excel, R program, Quantum GIS and GWR4. The best GWLR spatial modeling wi th Adaptive Gaussian Kernel weighting function , a global model parameters GWLR AdaptiveGaus ·ian Kernel weighting fu nction obtained by g (x) = 0.941086 - 0,892506X4, GWLR local models with adaptive Kernel bisquare weighting function in the 13 Districts were obtained g(x) = /Jo - {J0X4 , factors that affect the cases of infant mortality in 13 sub-di tricts of Sou th Central Timor Regency in 2015 was the percentage of poor famil ies pre prosperous

The Classification of Districts in East Java Based on Results of Monitoring Family Planning Using K-Modes Clustering Approach

Mini survey BKKBN is a national scale survey conducted periodically every year since 2003. The classification of data will facilitate the monitoring of more focus on the view of the characteristics of a data. The implementation of the method k-modes clustering in the classification of data based on the results of the survey mini family planning (KB) monitoring as age, the number of children and education is kategorikal data. The results of the study showed that KB participation there is a relationship with the level of education, the number of children and age marry first. The classification of District based on the four variables become 2, 3, 4 5 cluster provides the value of the purity of each of 67.0 percent, 61.1 percent, 63.3 percent and 54.7 percent. The classification District/City based on the results of the survey mini with II-Cluster with the level of highest accuracy and have aredifferent characteristics in Kediri District, Banyuwangi District, Bondowoso District, Sidoarjo District, Mojokerto District, Madiun District, Magetan District, Sampang District, Kediri City, Blitar City, Malang city, MojokertoCity, City Madiun, City Surabaya, City Batu. Group-1 characterized by education graduate Senior High, the number of 2 children and age marry first 20-25 years, whereas groups-2 characterized by education graduateJunior High, the number of children 1 childrenand age marry first 15 - 20 years

Penerapan Partial Least Square Status Kesehatan Balita di Indonesia

Status kesehatan anak balita (bawah lima tahun) adalah salah satu indikator utama kesehatan masyarakat di suatu negara. Status kesehatan anak balita adalah sulit untuk diukur secara langsung, sehingga membutuhkan indikator untuk menggambarkan. Penelitian sebelumnya menunjukkan Structural Equation Modeling (SEM) sangat membantu untuk mengetahui pengaruh terhadap indikator dan menghasilkan model yang lebih baik daripada analisis multivariat lainnya. Studi ini dilakukan untuk mengetahui faktor langsung (ANC, INC dan PNC) yang mempengaruhi status kesehatan anak balita di Indonesia dan pemetaan indikator gizi. Penelitian ini menggunakan metode un-obstruktif, yang terdiri dari 4 variabel laten dan 22 indikator menggunakan berbasis SEM varians (Partial Least Square). Data dianalisis dengan R program dan ArchView GIS 3.3. Ada 14 indikator yang mempengaruhi status kesehatan anak balita yaitu tidak dilakukannya kunjungan antenatal pertama (K1), tidak adanya kunjungan antenatal keempat (K4), tidak mendapatkan 3 kali FE (FE-3) , pemeriksaan kehamilan dengan pengobatan tradisional (ANC dukun), tidak memeriksakan kehamilan, tidak adanya kunjungan antenatal ke petugas kesehatan profesional, bukan operasi kelahiran (SC), persalinan di rumah, balita tidak mendapatkan vitamin A, balita tidak ditimbang, balita mengkonsumsi lebih sedikit kalori, protein, serta bayi berat badan lahir rendah dan bayi dengan gizi buruk. Sebaiknya peningkatan pelayanan kesehatan difokuskan pada indikator yang signifi kan