PROMOSI RUMAH MODE BATIK RIA SOENARYO MELALUI MEDIA FOTOGRAFI

2008. Promosi perusahaan melalui media Fotografi pada saat ini sangat banyak sekali dilakukan oleh perusahaan perusahaan besar maupun menengah. Banyak perusahaan melakukan promosi. Melalui media ini. Untuk meningkatkan penjualan;penjualan yang signifikan. Promosi melalui media Fotografi.ini mempunyai peranan penting dalam dunia periklanan. Tidak hanya untuk mengenalkan produk baru terhadap konsumen akan tetapi juga dapat mempromosikan produk produk yang sudah ada agar di kenal oleh masyarakat sekitar.dan agar menarik perhatian para konsumen. Salah satu penggunaan promosi ini adalah Promosi Rumah Mode Batik Ria Soenaryo. Promosi tidak hanya sebagai sarana memberitahukan kepada masyarakat tetapi juga dapat menjadi sarana penarik minat masyarakat untuk lebih mengenal apa produk yang dikenalakan kepada masyarakat. Karya tugas ini diharapkan dapat membantu promosi Perusahaan Rumah Mode Batik Ria Soenaryo dengan menggunakan Media Fotografi sebagai media promosinya sehingga dapat lebih dikenal masyarakat

Using the DSSAT-CROPGRO model to simulate gross margin and N-leaching of cowpea fertigated with human urine

This study simulated the biophysical, economic and environmental implications of cowpea fertigated with human urine (equivalent to 60 kg N ha-1) as source of organic N. The DSSAT CROPGRO model was used to simulate harvested cowpea yield, N(leached), N(uptake), monetary returns or gross margins in ($) under two different treatments: without fertigation or human urine (T0) and with fertigation (T1). Biophysical analysis using the Cumulative Probability Distribution (CPD) showed a 50$ -215 higher than under T0 at $285. This was a$70 difference per season under T1 and so enhancing a faster payback and a larger monetary return on overall investments. Similarly, seasonal analysis with fertigation showed that at CPD0.5, the N(leached) was still < 4 kg N ha-1 per season and so posed no environmental risks. The simulation results also showed higher a probability of N(uptake) of about 270 kg N ha-1 during fertigation compared to about 95 kg N ha-1 under T0.  Therefore, the DSSAT CROPGRO model can be used to successfully forecast future cowpea yields, gross margin, N(leached), N(uptake) under different management practices to enable smallholder farmers in South Sudan make informed decisions on sustainable cowpea production

Simulating the effects of human urine on phenology and some cultivar coefficients of Cowpea (Vigna unguicalata L. Walp) using the DSSAT-CROPGRO model

The DSSAT-CROPGRO model was used to characterize phenology and cultivar coefficients of cowpea treated with diluted human urine (equivalent to 60 kg-N/ha), simulated under ten irrigation schedules for a 5 year production period in Juba County of Central Equatoria State, South Sudan.  Two treatments (T0) without urine and (T1) with human urine dilution during the growing season of 2016 were used and, 5-years model simulations on the grain number/m², LAI, canopy height (m) and pod number/m² compared. Irrigation schedules were carried out once the volumetric soil moisture content measured using the Theta Soil Moisture Probe was close to 15%. Results showed that cultivar coefficients EM-LF, FL-LF and FL-SH for both T1 and Y2015 (calibrant) were on average 6-8 days shorter than under T1. Also, the SIZLF under T1 was about 8-17% greater than under both T0 and calibrant Y2015 indicating the significance of diluted human urine on cowpea cultivar coefficients and phenology. The model also gave good agreement between observed and simulated growth parameters with low RMSE of the pod nr/m² at 17 for T0, and 37.5 for T1, the RMSE for grain nr/m2 was 360 kg for T1, and 347 kg for T0, whereas the RMSE of LAI showed no significant difference. The d-indices in estimating LAI and canopy height were generally low and showed the largest errors than for pod nr/m² and grain nr/m². The results showed that the model satisfactorily simulated and underscored the significance of diluted human urine on both phenology and cultivar coefficients of cowpea

SYSTEM AND METHOD FOR AUTOMATING PAYMENTS USING MILESTONE PAYMENT PROGRAM

The present disclosure discloses a method and system for delineating various significant milestones stages and automate the process of remunerating Merchants upon the successful completion of each milestone. Further, the present disclosure addresses prevalent challenges associated with upfront payments for extended-duration services, like house renovation payments or when subscribing to annual memberships for clubs or fitness centres. Customers lacks confidence as the service providers compromise quality for money being paid by the customers. Specifically, to address and overcome these challenges, the present disclosure proposes a method and system of attaching milestone to a card-based payment instruction which enhances trust and transparency between service provider/merchant-customer relationships, thereby driving card credentials usage

CORRELATION OF MICROSATELLITE DNA MARKERS WITH GROWTH TRAITS IN STRIPED CATFISH (Pangasianodon hypophthalmus)

Marker-assisted selection in genetic improvement of striped catfish is useful in the breeding program of the fish. Five microsatellite markers were characterized in the largest (4.03 kg ± 1.67 kg) and smallest (1.41 kg ± 0.22 kg) individuals. Five polymorphic loci were then used to genotype 160 individuals and the associations between their genotypes and growth traits were examined. The result showed that twenty-seven alleles were detected in striped catfish. The number of alleles per locus (NA) ranged from 4 to 7, with an average of 5.4 alleles per locus. The effective number of alleles per locus (NE) ranged from 3.940 to 6.939, with an average of 5.32 alleles per locus. HO and HE ranged from 0.125 to 0.944 (mean value of 0.472) and from 0.564 to 0.775 (mean value of 0.697), respectively. PIC ranged from 0.573 to 0.799 (mean value of 0.706), showing that they were highly polymorphic loci. Only one microsatellites loci (Pg13) that showed significant differences (P<0.01) in the associations between their genotypes and growth traits, while Pg3 and Pg14 were significantly associated with the standard length (P<0.01) and body weight (P<0.05). However, the Pg1 and Pg2 were not significantly associated with the body weight and standard length. Four genotypes of three loci were positively correlated with the growth traits (body weight and standard length) i.e. genotypes 194/194 for Pg3, 227/227 and 229/229 for Pg13, 279/279 for Pg14. These four genotypes can be used to identify growth traits in the molecular marker-based selection of a breeding program

A METHOD FOR ESTABLISHING CARD RELATIONSHIPS AND SYSTEM THEREOF

The present disclosure relates to a technique for establishing a relationship between a plurality of payment cards held by the cardholder and further utilizing the established relationship to suggest alternative payment options, in case the first card is declined. The technique involves sending a query to a relationship manager (RM) by the merchant if the initiated transaction is declined to inquire whether it stores any established relationship between the cardholder’s multiple payment cards, communicated to it by the issuer entities. In response, the RM searches its database and deploys the learning model to suggest the best replacement option out of all the recognized payment cards by the corresponding established relationship and communicates the same to the merchant terminal. The cardholder is provided with an alternative payment option to turn the declined transaction into an approved one thus creating positive outcomes for all the participants of the payment processing ecosystem

Seasonal rainfall prediction in Juba County, South Sudan using the feedforward neural networks

Historical rainfall data from 1997-2016 of Juba County, South Sudan were used in a Feed-Forward Neural Network (FFNN) model to make future predictions. Annual rainfall data were aggregated into three seasons MAMJ, JAS and OND and later trained for best forecasts for the period 2017-2034 using the Alyuda Forecaster XL software. Best training of the time series was attained, once the minimum error of the weight expressed as MSE or AE between the measured variable and predicted was achieved during gradient descent.  The results showed that for MAMJ and JAS months, the number forecasts were over 85% whereas this was between 60-80% for OND months. The Seasonal Kendal (SK) test on future rainfall forecasts as well as the Theil-Sen slope showed negative monotonic trends in the mean values till the end of 2034 of all three seasons with MAMJ, JAS at OND at 100, 150 and 80 mm respectively.  Rainfall forecast showed that the MAMJ months for the years 2019 to 2027 will be moderately wet except in April 2021 which will experience some severe wetness (due to intensive rainfall). Interdecadal severe drought with less than 60, 100 and 10 mm for MAMJ, JAS and OND respectively, is expected between 2028 to 2033 after almost two decades. The declining onset of MAMJ rains is expected to significantly affect the timing for land preparation and crop planting.&nbsp

Strategizing Financial Triumph: Applying Advanced Mathematical Models to Revolutionize Bond Investments in the Modern Financial Industry

The importance of applying advanced mathematical models in bond investing marks a revolutionary step in the modern financial industry, enabling more scalable and adaptive strategies to achieve financial success. The purpose of this talk is to explore and detail the role of advanced mathematical models in changing the bond investment paradigm. The discussion aims to highlight the crucial role of advanced mathematical models in changing the bond investment paradigm, providing a deeper understanding of the optimal potential and risks involved, explaining how this approach can optimize financial outcomes through more detailed analysis. The application of mathematical models involves the use of sophisticated algorithms and statistical analysis to identify optimal investment opportunities. These steps include the use of advanced financial math formulas, such as yield to maturity and duration, to design investment strategies that are adaptive and responsive to bond market dynamics. The application of mathematical models results in a deeper understanding of the bond market, allowing investors to respond quickly to changing market conditions. Thus, the investment strategy formed by this approach can not only improve investment returns, but also reduce the risks that investors may face. The application of advanced mathematical models in bond investing opens the door to smarter and more informed decision-making. By combining data and mathematical analysis, investors can maximize potential investment returns and manage risks more effectively