Tampilan Lemak Dan Solid Non Fat Pada Susu Sapi Perah Akibat Asupan Neutral Detergent Fiber Yang Berbeda (the Display of Fats and Solid Non Fat of Dairy Cows Aaffected by Neutral Detergent Fiber Intake of Different Rations)

This study was aimed to assess the optimal ration of Neutral Detergent Fiber (NDF) content to improve the performance of milk fat and Solid Non Fat (SNF) milk of dairy cows. This research was conducted at the Regional Operational Unit Mulyorejo, Livestock Breeding Barukan village, Tengaran Sub District of Semarang Regency and Banyu Aji Cooperative, Sub District of Getasan, Semarang Regency from June 29 to July 31, 2014. Animal used as experimental materials were 12 Friesien Holstein dairy cows in second and third months of lactation with estimated body weight averaged at 408.5 ± 30.86 kg (Coefisien Variance (CV) = 10.68%) and milk production averaged of 9.3 ± 1.01 liters (CV = 14.33%). The experimental design used in this study was a completely randomized design for three treatments, i.e. T0 (NDF content of 61%), T1 (NDF content of 63%), and T2 (NDF content of 64%). The results showed that milk fat T1 (3.28%) affected with T0 (3.51%), but not affected (P>0.05) with T2 (3.45%). SNF content of T0 (7.31%) affected (P<0.05) less than T1 (7.83%) and T2 (7.75%). This study concluded that increasing NDF content to 63% in feed can improve SNF and milk fat content

Financial Determinants of Qardhul Hasan Financing Growth: Evidence From Islamic Banks in Indonesia

The purpose of this paper is to investigate the financial factors that determine the growth of qardhul hasan financing in the sharia banks in Indonesia. We employ financial ratios such as Capital Adequacy Ratio (CAR), Non-Performing Financing (NPF), Net Interest Margin (NIM), Operational Cost to Operational Income (BOPO), Return on Asset (ROA) and Return on Equity (ROE) to explain the growth of qardhul hasan during 2011 to 2014. This paper utilizes the fixed effect model and the random effect model to provide empirical evidences. The empirical result demonstrates that Non-Performing Financing (NPF), Net Interest Margin (NIM), Return on Asset (ROA) and BOPO have significance relationship to the qardhul hasan financing. The finding shows that the growth of qardhul hasan financing in sharia banks is influenced by financial ratios of NIM, NPF, BOPO and ROA. This finding adds important evidence to the existing research on qardhul hasan financing in sharia banks

Analisis Gangguan Pendengaran Pada Penyelam Di Danau Tondano Desa Watumea Kecamatan Eris Kabupaten Minahasa Provinsi Sulawesi Utara 2014

: Hearing disorder is the change in the level of hearing which resulted in difficulties in carrying out a normal life, usually in terms of understanding speech. This study aimed to analyze hearing disorder that may arise among the divers in Watumea Eris, North Sulawesi, in 2014. This was an analytical study using a cross sectional approach. Population consisted of all divers in Lake Tondano during 2014. Samples were 20 people, obtained by using a purposive sampling technique based on the needs of researcher. The results of the analysis in the form of age (p = 0.157), education (p = 0.662), tenure (p = 0.850), history of the disease (p = 0.897), diving frequency (p = 0.577), using protective equipment (p = 0.075), diving depth (p = 0.526), and duration of diving (p = 0.964). Conclusion: There was no correlation of diving and hearing disorder among divers at lake Tondano Watumea Eris village district of Minahasa North Sulawesi Province during 2014

Firm dynamics and job creation in the United Kingdom:1998–2013

This article is motivated by a very simple question – ‘what types of firms create the most jobs in the UK economy?’ One popular answer to this question has been High-Growth Firms (HGFs). These firms represent only a small minority – the ‘Vital 6%’ – of the UK business population yet, but have a disproportionate impact on job creation and innovation. We re-visit the discussion launched by the 2009 National Endowment for Science, Technology and the Arts (NESTA) reports, which identified the 6% figure and, using more recent data, confirm the headline conclusion for job creation: a small number of job-creating firms (mostly small firms) are responsible for a significant amount of net job creation in the United Kingdom. Adopting our alternative preferred analytical approach, which involves tracking the growth performance of cohorts of start-ups confirms this conclusion; however, we find an even smaller number of job-creating firms are responsible for a very significant proportion of job creation. We conclude by considering the question – ‘what are the implications for policy choices?’

Determination of fatty acids profile in original brown cows dairy products and relationship with alpine pasture farming system

This study aimed to evaluate the relationships between fatty acids and the pattern that most contributes to discriminate between two farming systems, in which the main difference was the practice, or not, of alpine summer-grazing. Milk and cheese were sampled every month in two farms of Original Brown cows identical under geographical location and management during no grazing season point of view in the 2018 season. Fatty acids concentrations were determined by gas chromatography. The principal component analysis extracted three components (PCs). Mammary gland de novo synthetized fatty acids (C14:0, C14:1 n9, and C16:0) and saturated and monosaturated C18 fatty acids (C18:0, C18:1 n9c) were inversely associated in the PC1; PC2 included polyunsaturated C18 fatty acids (C18:2 n6c, C18:3 n3) and C15:0 while conjugated linoleic acid (CLA n9c, n11t) and fatty acids containing 20 or more carbon atoms (C21:0, C20:5 n3) were associated in the PC3. The processes of rumen fermentation and de novo synthesis in mammary gland that are, in turn, influenced by diet, could explain the relationships between fatty acids within each PC. The discriminant analyses showed that the PC2 included the fatty acids profile that best discriminated between the two farming systems, followed by PC3 and, lastly, PC1. This model, if validated, could be an important tool to the dairy industry