This paper provides an application of generalized space-time autoregressive (GSTAR) model on GDP data in West European countries. Preliminary model is identified by space-time ACF and space-time PACF of the sample, and model parameters are estimated using the least square method. The forecast performance is evaluated using the mean of squared forecast errors (MSFEs) based on the last ten actual data. It is found that the preliminary model is GSTAR(2;1,1). As a comparison, the estimation and the forecast performance are also applied to the GSTAR(1;1) model which has fewer parameter. The results showed that the ASFE of GSTAR(2;1,1) is smaller than that of the order (1;1). However, thet-test value shows that the performance is significantly indifferent. Thus, due to the parsimony principle, the GSTAR(1;1) model might be considered as a forecasting model.

Talasemia adalah penyakit kelainan darah akibat kekurangan atau penurunan produksi hemoglobin. Jumlah penderita talasemia di Yayasan Talasemia Indonesia cabang Banyumas terus meningkat. Tujuan penelitian ini untuk mendeskripsikan karakteristik penderita talasemia di Yayasan Talasemia Indonesia cabang Banyumas tahun 2012. Penelitian kuantitatif dengan desain penelitian cross sectional ini dilakukan terhadap 64 sampel yang diambil dengan teknik proportionate stratified random sampling . Data dikumpulkan meliputi melalui wawancara terstruktur menggunakan kuesioner. Metode analisis yang digunakan adalah analisis deskriptif univariat. Hasil penelitian menunjukkan bahwa penderita talasemia rata-rata berusia 12,28 tahun, berjenis kelamin laki-laki (51,6%), sedang sekolah SD (40,6%), bukan angkatan kerja (92,2%), talasemia β-mayor (90,6%), tidak splenektomi (84,4%), jaminan kesehatan masyarakat (Jamkesmas) (73,4%), kadar feritin ≥ 2000 ng/mL (90,4%), kelasi deferioprone, vitamin C, dan deferioksamin (81,2%), tinggal di Kabupaten Banyumas (79,7%), trans-fusi darah di Rumah Sakit Umum Daerah (RSUD) Banyumas (95,3%), rata-rata terdiagnosis usia 3,7 tahun, usia rata-rata mulai transfusi darah adalah 3,78 tahun. Frekuensi transfusi darah 1 bulan 1 kali (87,5%), dan frekuensi terapi kelasi zat besi mengonsumsi vitamin C 30 kali dalam 1 bulan (95,3%).Kata kunci: Hemoglobin, kelainan darah, talasemia AbstractThalassaemia is blood disorder caused by deficiency or decrease in production/formation of hemoglobin. Number of thalassaemia patients in Yayasan Talasemia Indonesia (Indonesian Thalassemia Foundation) Banyumas branch countinue to increase. The research purpose is to describe the characteristics of thalassemia patients in YTI Banyumas. The research type is a quantitative approach with cross sectional research design. Sample of 64 people taken by proportionate stratified random sampling. Data collected includes characteristics of the respondents based on the variables of people, places, and time was obtained through interviews using a questionnaire. The univariate descriptive analysis were use to describe the characteristics of the respondents. The results showed that thala-ssaemia patients at YTI Banyumas have several characteristics: average age of 12,28 years, male (51,6%), elementary students (40,6%), the laborforce (92,2%), b-thalassemia major (90,6%), no splenectomy (84,4%), Jamkesmas (73,4%), ferritin levels ≥ 2000 ng/mL (90,4%), sailor deferio-prone, vitamin C, and deferioksamin (81,2%), live in Banyumas (79,7%), blood transfusions in hospitals Banyumas (95,3%), the average age of diagnosis of 3,7 years, the average age of starting a blood transfusion was 3,78 years. Once a month blood transfusion (87,5%), and the frequency of iron chelation therapy by consuming vitamin C 30 times in one month (95,3%).Key words: Hemoglobin, blood disorder, thalassemia

AbstrakKabupaten Banyumas merupakan kabupaten endemis malaria di Provinsi Jawa Tengah. Data Dinas Kesehatan Kabupaten Banyumas tahun 2008 -2013 menunjukkan angka annual paracite incidence (API) yang selalu mengalami fluktuasi. Dari 27 kecamatan, 22 di antaranya termasuk dalam kategori medium case incidence (MCI) dan low case incidence (LCI). Faktor lingkungan, perilaku, sosial ekonomi, dan iklim berdampak pada tinggi rendahnya kejadian malaria. Tujuan penelitian adalah mengetahui faktor yang berhubungan dengan API di Kabupaten Banyumas. Data dikumpulkan dari Januari 2011 -Desember 2013 menggunakan penelitian analitik dengan rancangan penelitian potong lintang dan menggunakan data sekunder dari Dinas Kesehatan, Dinas Pertanian, dan Badan Pusat Statistik Kabupaten Banyumas. Populasi adalah seluruh kecamatan di Kabupaten Banyumas dan sampel diambil menggunakan teknik total sampling, sebanyak 27 kecamatan dengan pengamatan selama 3 tahun menjadi 81 sampel. Hasil penelitian menunjukkan 44,4% pengamatan termasuk kategori LCI dan MCI, 48,1% termasuk kategori curah hujan tinggi, 49,4% termasuk kategori wilayah yang luas, 49,4% termasuk kategori jumlah pendatang tinggi, 48,1% termasuk kategori kepadatan penduduk sedang. Sementara itu, dari 27 kecamatan, yang termasuk ketinggian rendah adalah 63,0%. Faktor yang terbukti berhubungan dengan API adalah luas wilayah, jumlah pendatang, kepadatan penduduk, sedangkan yang tidak berhubungan adalah curah hujan dan ketinggian. Kata kunci: Annual parasite insidence, jumlah pendatang, kepadatan penduduk, luas wilayah,malaria AbstractBanyumas is malaria endemic district in Central Java. Banyumas Health Office data of 2008 -2013 showed that, the Annual Parasite Incidence (API) always fluctuated. From 27 subdistricts in Banyumas, there are 22 subdistricts which fall into the category of middle case incidence (MCI) and low case incidence (LCI). Malaria is a disease that closely associated with the enviroment, behaviour, social economy, and climate. The purpose of this study was to determine factors associated with API in Banyumas. Data were collected from Januari 2011 -Desember 2011 using an analytic crosssectional design using secondary data from Banyumas Health Office, Agriculture Office and Statistic Center. The population in this study were all subdistricts in Banyumas and samples were taken using total sampling technique. The sample of this study was 27 districts. The results showed that from 81 samples we obtained 44.4% of observations included in LCI and MCI category, 48.1% with high rainfall, 49.4% with large areas, 49.4% with high number of entrants, 48.1% with medium population density. Meanwhile, from 27 districts, 63.0% included in low altitude category. Factors associated with API in Banyumas were the extensive areas, the number of entrants, and population density. The factors that are not associated to the API were the rainfall and altitude regions.

Background:The frequency of Caesarean section increased from 5% to 15% across the world. According to statistics, it is highest in the U.S. or around 24%, and then in Canada about 20%, in Denmark about 13%, 10% in England, and it is lowest in Japan 7%. Post-cesarean section women experience pain due to operative trauma. Individual variability of postoperative pain is influenced by multiple factors, including sensitivity to pain, psychological factors, age, and genetics. Cesarean delivery patients have even more compelling reasons to achieve optimal postoperative pain relief than other surgical patients, but they also present unique challenges. Post cesarean delivery patients are at a higher risk for thromboembolic events, which may also be precipitated by immobility from inadequate pain control or excessive sedation from opioids. Objectives: This research aimed to describe pain intensity among women with post-cesarean Section. Methods: This research conducted at an obstetric ward in Hasan Sadikin Hospital, Bandung, West Java, Indonesia with 60 women with postcesarean section. Instrument used Visual Rating Scale (VAS) for pain measurement. A descriptive Study with Mean ± SD for univariate analysis. Result: Pain intensity among women with post-caesarian section were mild pain level with mean of pain level was 2.8. Women with mild pain level as much as 81,6%. Conclusions: As a nurse, can be considered as a nonpharmacological intervention to reduce the pain of cesarean section effectively and to decrease the number of medications and their side effects.

Dengue hemorrhagic fever (DHF) is a public health problem in the world and also in Indonesia. One of the districts in Central Java that is still having problems with this disease is Banyumas, Indonesia. The incidence rate (IR) data in 2018 was 2.75 per 100,000 populations and the case fatality rate (CFR) was 3.64%. Spatiotemporal analysis was used to determine local variation, geographic determination of risk zones, and measurement of disease control interventions. Therefore, this study aimed to determine the distribution and grouping of dengue cases based on the spatiotemporal analysis. The design was observational with a cross-sectional spatial analysis. This study was conducted in Banyumas, Indonesia with the analysis unit for dengue fever patients in 2018 using as many as 57 cases. Furthermore, the data analysis used includes overlay, buffering, and clustering with SaTScan and ArcGis software. The results showed that there was a clustering of dengue cases in Banyumas, with one primary and three secondary clusters detected. The primary cluster occurred in March-April 2018, involving four sub-districts in urban areas. It was then concluded that the significantly identified clusters indicate a transmission of dengue fever in the Banyumas area with a radius of three kilometers.