scholarly journals Optimalisasi Keuntungan Industri Kecil Kerupuk Ikan Gabus Di Desa Kota Raden Hulu Kecamatan Amuntai Tengah Kabupaten Hulu Sungai Utara

2019 ◽  
Vol 4 (1) ◽  
pp. 214-219
Author(s):  
Arief Hidayatullah ◽  
Titi Hidayati
Keyword(s):  
Sensitivity Analysis ◽  
Graphical Method ◽  
Small Fish ◽  
Function Coefficient ◽  
Perform Sensitivity Analysis ◽  
Small Industry ◽  
Shadow Value ◽  
The One ◽  
Small Industries ◽  
Cork Industry

       This study aims to determine the optimal benefits of small fish chips cork industry with limited available resources and perform sensitivity analysis on the optimal conditions For small industry profits cork fish crackers. Methods of data collection through census method. The data is taken from interviews with all members of the population. The population of small cork fish cracker industry is the one that cultivates both types (large packaged cork crackers and small cork fish crackers) as many as 15 small industries of cork fish crackers in Kota Raden Hulu Village, all of which were respondents in this study..       Based on a linear programming graphical method, showed that the optimal benefit small industries crackers catfish production occurs when a large parcel cork fish crackers (X1) 299.9373 as fish crackers cork wrap and a small parcel (X2) of 643.459 packs. While the number of optimal advantage of the production is Rp. 5,727,621, -.  The sensitivity analysis is known objective function coefficient limits the maximum and minimum for C1 and C2 as follows: The maximum limit for C1 (9.213,32 ≤ C1 ≤ 9.213,34), the minimum threshold for C2 (4.606,66 ≤ C2 ≤ 18.426,68). Analysis of resources and constraints shadow value indicates the function 1 has a shadow value of Rp. 57825.5.

scholarly journals Global Sensitivity Analysis of a Homogenized Constrained Mixture Model of Arterial Growth and Remodeling

2021 ◽  
Author(s):  
Sebastian Brandstaeter ◽  
Sebastian L. Fuchs ◽  
Jonas Biehler ◽  
Roland C. Aydin ◽  
Wolfgang A. Wall ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Global Sensitivity Analysis ◽  
Model Parameters ◽  
Computational Studies ◽  
Growth And Remodeling ◽  
Global Sensitivity ◽  
Output Variability ◽  
Constrained Mixture ◽  
The One ◽  
Influential Parameters

AbstractGrowth and remodeling in arterial tissue have attracted considerable attention over the last decade. Mathematical models have been proposed, and computational studies with these have helped to understand the role of the different model parameters. So far it remains, however, poorly understood how much of the model output variability can be attributed to the individual input parameters and their interactions. To clarify this, we propose herein a global sensitivity analysis, based on Sobol indices, for a homogenized constrained mixture model of aortic growth and remodeling. In two representative examples, we found that 54–80% of the long term output variability resulted from only three model parameters. In our study, the two most influential parameters were the one characterizing the ability of the tissue to increase collagen production under increased stress and the one characterizing the collagen half-life time. The third most influential parameter was the one characterizing the strain-stiffening of collagen under large deformation. Our results suggest that in future computational studies it may - at least in scenarios similar to the ones studied herein - suffice to use population average values for the other parameters. Moreover, our results suggest that developing methods to measure the said three most influential parameters may be an important step towards reliable patient-specific predictions of the enlargement of abdominal aortic aneurysms in clinical practice.

scholarly journals Analisis Kompetensi Kewirausahaan Industri Kecil Suku Cadang di Kota Padang

2016 ◽  
Vol 11 (2) ◽  
pp. 279 ◽  
Author(s):  
Prima Fithri ◽  
Amanda Febria Sari
Keyword(s):  
Quality Function Deployment ◽  
Swot Analysis ◽  
Spare Parts ◽  
The Face ◽  
Small Industry ◽  
The Government ◽  
Critical Competencies ◽  
Small Industries ◽  
Training Services ◽  
Low Ability

As economic development and current technology, there tends to SMEs have been reversed there is some effort to close down due to lack of existing orders in the business. Therefore, the government made efforts to assist existing SMEs to be able to survive in the face of global crisis is happening right now. These efforts may include providing small loans and may include training services in accordance with its business. One of the materials provided in the training is about entrepreneurship so that SMEs are expected to compete with similar companies. The low ability entrepreneur pointed out as one of the reasons SMEs are not able to compete with large companies, such as SI (Small Industry) Spare Parts in the city of Padang. The failure to penetrate IK Parts of competition to supply spare parts in the PT. Semen Padang because of its low ability entrepreneur is owned by SI. With no indicator of entrepreneur ability, there are some problems for governments about policies that will be taken for judge the SI. Therefore, the entrepreneur ability should be decided to helps government in decisions making of policies, so that SI can be competing with larger companies. The method that been used in this study is the Quality Function Deployment (QFD) and the recommendations for policies that can be used by the government by using SWOT analysis. QFD is used to identify consumer needs and its association with the characteristic techniques provided by the government, so that the final results are the critical competencies that should be developed first. The linkage between the needs of consumers with technical characteristics reflected in the House of Quality (HOQ). While the results of the SWOT analysis are four types of strategies which can be used later by using the strategy outlined in the strategy implementation architecture for 10 years. This research resulted in 25 indicators of entrepreneurial competencies that include Human Resources (HR), financial, and research and development which consist of eight aspects. The resulting formulation of strategies using SWOT analysis generates SO Strategies (5 strategies), WO Strategies (7 strategies), ST Strategies (7 strategies), and WT Strategies (5 strategies). The design of the implementation of the strategy is planned for 10 years which is reflected in the architecture of the strategy and its implementation strategies.Keywords: small industries, indicators, competences, entrepreneur, strategies

scholarly journals One-year test-retest reliability of ten vision tests in Canadian athletes

F1000Research ◽  
2020 ◽  
Vol 8 ◽  
pp. 1032
Author(s):  
Mehdi Aloosh ◽  
Suzanne Leclerc ◽  
Stephanie Long ◽  
Guowei Zhong ◽  
James M. Brophy ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Intraclass Correlation ◽  
Limits Of Agreement ◽  
Male Athletes ◽  
Retest Reliability ◽  
Concussion Management ◽  
Baseline Testing ◽  
One Year ◽  
The One ◽  
Test Retest Reliability

Background: Vision tests are increasingly being suggested for use in concussion management and baseline testing. Concussions, however, often occur months after baseline testing and reliability studies generally examine intervals limited to days or one week. Therefore, our objective was to determine the one-year test-retest reliability of these tests. Methods: We assessed one-year test-retest reliability of ten vision tests in elite Canadian athletes followed by the Institut National du Sport du Quebec. We included athletes who completed two baseline (preseason) annual evaluations by one clinician within 365±30 days. We excluded athletes with any concussion or vision training in between the annual evaluations or presented with any factor that is believed to affect the tests (e.g. migraines, etc.). Data were collected from clinical charts. We evaluated test-retest reliability using Intraclass Correlation Coefficient (ICC) and 95% limits of agreement (LoA). Results: We examined nine female and seven male athletes with a mean age of 22.7 (SD 4.5) years. Among the vision tests, we observed excellent test-retest reliability in Positive Fusional Vergence at 30cm (ICC=0.93) but this dropped to 0.55 when an outlier was excluded in a sensitivity analysis. There was good to moderate reliability in Negative Fusional Vergence at 30cm (ICC=0.78), Phoria at 30cm (ICC=0.68), Near Point of Convergence break (ICC=0.65) and Saccade (ICC=0.56). The ICC for Positive Fusional Vergence at 3m (ICC=0.56) also decreased to 0.21 after removing one outlier. We found poor reliability in Near Point of Convergence (ICC=0.47), Gross Stereoscopic Acuity (ICC=0.03) and Negative Fusional Vergence at 3m (ICC=0.0). ICC for Phoria at 3m was not appropriate because scores were identical in 14/16 athletes. 95% LoA of the majority of tests were ±40% to ±90%. Conclusions: Four tests had moderate one-year test-retest reliability. The remaining tests had poor reliability. The tests would therefore be useful only if concussion has a moderate-large effect on scores.

scholarly journals Studi Pengolahan Limbah Usaha Mandiri Rumah Tangga dan Dampak Bagi Kesehatan di Wilayah Kenjeran, Surabaya

2016 ◽  
Vol 1 (1) ◽  
pp. 36
Author(s):  
Dahruji Dahruji ◽  
Pipit Festy Wilianarti ◽  
Totok Totok Hendarto
Keyword(s):  
Research Method ◽  
New Technologies ◽  
Positive Impact ◽  
Toxic Substance ◽  
Liquid Waste ◽  
Sampling Technique ◽  
Household Waste ◽  
Negative Effects ◽  
Small Industry ◽  
Small Industries

At this time the development of the industry in Indonesia is growing rapidly, there are currently large and small industries. An assortment of chemical industry, paper, textiles and cement. The small industry such as industry know. Many industries can generate positive and negative impacts. The positive impact of the industry, among others, the creation of jobs and the use of new technologies in various fields. The negative effects derived from industrial waste in the form of waste, liquid waste containing substances that are harmful to the surrounding community, so that the disposal of waste produces a toxic substance that causes the growth of bacteria that breed. With the indiscriminate disposal of waste fluids can cause problems for humans share, environment and water, can grow germs or other germs harmful to humans, would be susceptible to various diseases due to the influence of chemicals that pollute the river. Long-kelaman waste fluid change color to dark brown and smelly, and the stench is going to result in respiratory problems for people around. (Atinah fatal 2007).The research method using descriptive research method, with consecutive sampling technique to sample 21 people. Analysis using the percentage description. Results obtained 17 percent of skin disorders, diarrhea 2 percent, and laboratory values averaged COB try the 1 meter including pemcemaran being.With the existence of this study is expected an increase of knowledge in the management of household waste small industries. 

scholarly journals Sensitivity analysis on the pollutant trapping efficiencies of a novel sewerage overflow screening device

2016 ◽  
Vol 18 (6) ◽  
pp. 1007-1018
Author(s):  
M. A. Aziz ◽  
M. A. Imteaz ◽  
H. M. Rasel ◽  
M. Samsuzzoha
Keyword(s):  
Sensitivity Analysis ◽  
Sampling Technique ◽  
Latin Hypercube Sampling ◽  
Capture Efficiency ◽  
Industry Standard ◽  
Informed Decisions ◽  
Input Parameters ◽  
Perform Sensitivity Analysis ◽  
Hydro Jet ◽  
Screening Device

A novel ‘Comb Separator’ was developed and tested with the aim of improving sewer solids capture efficiency and reducing blockages on the screen. Experimental results were compared against the industry standard ‘Hydro-Jet™’ screen. Analysing the parameter sensitivity of a hydraulic screen is a standard practice to get better understanding of the device performance. In order to understand the uncertainties of the Comb Separator's input parameters, it is necessary to undertake sensitivity analysis; this will assist in making informed decisions regarding the use of this device. Such analysis will validate the device's performance in urban sewerage overflow scenarios. The methodology includes multiple linear regression and sampling using the standard Latin hypercube sampling technique to perform sensitivity analysis on different experimental parameters, such as flowrate, effective comb spacing, device runtime, weir opening and comb layers. The input parameters ‘weir opening’ and ‘comb layers’ have an insignificant influence on capture efficiency; hence, they were omitted from further analysis. Among the input parameters, ‘effective spacing’ was the most influential, followed by ‘inflow’ and ‘runtime’. These analyses provide better insights about the sensitivities of the parameters for practical application. This will assist device managers and operators to make informed decisions.

Multistage auto-ignition of undiluted methane/air mixtures under engine-relevant condition

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Yingjia Zhang ◽  
Wuchuan Sun ◽  
Wenlin Huang ◽  
Xiaokang Qin ◽  
Jinshu Liu ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Shock Tube ◽  
Oh Radicals ◽  
Ignition Process ◽  
Reflected Shock ◽  
Ignition Delay Times ◽  
Auto Ignition ◽  
Kinetic Mechanisms ◽  
Perform Sensitivity Analysis ◽  
The Difference

Gas-phase auto-ignition delay times (IDTs) of methane/“air” (21% O2/79% Ar) mixtures were measured behind reflected shock waves, using a kinetic shock tube. Experiments were performed at fixed pressure of 1.8 MPa and equivalence ratios of 0.5 and 1.0, over the temperature range of 800–1000 K. Overall, the effect of equivalence ratio on IDT is negligible at entire temperatures measured in this study. The difference from traditional ignition regime at high temperatures, the undiluted methane/air mixtures present a four-stage ignition process at lower temperatures, namely deflagration delay, deflagration, deflagration-detonation transition, and detonation. Four popular kinetic mechanisms, UBC Mech 2.1, GRI Mech 3.0, Aramco Mech 2.0, and USC Mech 2.0, were used to simulate the new measurements. Only UBC Mech 2.1 showed satisfactory predictions in the reactivity of the undiluted methane mixtures; it was, thus, adopted to perform sensitivity analysis for identifying dominant reactions in the ignition process. The difference in channels contributing ȮH radicals causes a reduced global activation energy with decreasing temperatures.Keywords: Methane; multistage ignition; shock tube; sensitivity analysis

A simplified method to estimate the soil-water characteristic curve

2010 ◽  
Vol 47 (12) ◽  
pp. 1382-1400 ◽  
Author(s):  
Kheng-Boon Chin ◽  
Eng-Choon Leong ◽  
Harianto Rahardjo
Keyword(s):  
Sensitivity Analysis ◽  
Soil Water ◽  
Characteristic Curve ◽  
Estimation Methods ◽  
Index Properties ◽  
Soil Water Characteristic Curve ◽  
Fine Grained ◽  
Simplified Method ◽  
Basic Index ◽  
The One

This paper proposes a simplified method to estimate the soil-water characteristic curve (SWCC) for both coarse- and fine-grained soils using one-point SWCC measurement and basic index properties. Parameters of the Fredlund and Xing SWCC equation were correlated with the basic properties of 60 soils: 30 soils each of coarse- and fine-grained types. Sensitivity analysis revealed that the location of the one-point measurement at matric suctions of 10 and 500 kPa gave the most reliable SWCC using the proposed method for coarse- and fine-grained soils, respectively. The validity of the proposed method was evaluated using a total of 62 soils collated from published literature with 31 soils each of the coarse- and fine-grained types. The proposed method gives a good estimation of the SWCC and uses fewer parameters when compared with existing one-point SWCC estimation methods.

scholarly journals A Strategy for Removing the Bias in the Graphical Analysis Method

2001 ◽  
Vol 21 (3) ◽  
pp. 307-320 ◽  
Author(s):  
Jean Logan ◽  
Joanna S. Fowler ◽  
Nora D. Volkow ◽  
Yu Shin Ding ◽  
Gene-Jack Wang ◽  
...  
Keyword(s):  
Least Squares ◽  
Graphical Method ◽  
Graphical Analysis ◽  
Distribution Volume ◽  
Noise Model ◽  
Data Sets ◽  
Multiple Time ◽  
Analysis Method ◽  
Reference Tissue ◽  
The One

The graphical analysis method, which transforms multiple time measurements of plasma and tissue uptake data into a linear plot, is a useful tool for rapidly obtaining information about the binding of radioligands used in PET studies. The strength of the method is that it does not require a particular model structure. However, a bias is introduced in the case of noisy data resulting in the underestimation of the distribution volume (DV), the slope obtained from the graphical method. To remove the bias, a modification of the method developed by Feng et al. (1993) , the generalized linear least squares (GLLS) method, which provides unbiased estimates for compartment models was used. The one compartment GLLS method has a relatively simple form, which was used to estimate the DV directly and as a smoothing technique for more general classes of model structures. In the latter case, the GLLS method was applied to the data in two parts, that is, one set of parameters was determined for times 0 to T1 and a second set from T1 to the end time. The curve generated from these two sets of parameters then was used as input to the graphical method. This has been tested using simulations of data similar to that of the PET ligand [11C]- d-threo-methylphenidate (MP, DV = 35 mL/mL) and 11C raclopride (RAC, DV = 1.92 mL/mL) and compared with two examples from image data with the same tracers. The noise model was based on counting statistics through the half-life of the isotope and the scanning time. Five hundred data sets at each noise level were analyzed. Results (DV) for the graphical analysis (DVg), the nonlinear least squares (NLS) method (DVnls), the one-tissue compartment GLLS method (DVf), and the two part GLLS followed by graphical analysis (DVfg) were compared. DVFG was found to increase somewhat with increasing noise and in some data sets at high noise levels no estimate could be obtained. However, at intermediate levels it provided a good estimation of the true DV. This method was extended to use a reference tissue in place of the input function to generate the distribution volume ratio (DVR) to the reference region. A linearized form of the simplified reference tissue method of Lammertsma and Hume (1996) was used. The DVR generated directly from the model (DVRfl) was compared with DVRfg (determined from a “smoothed” uptake curve as for DVfg) using the graphical method.

Sensitivity analysis and auto-calibration of an integral dynamic model for river water quality

2002 ◽  
Vol 45 (9) ◽  
pp. 325-332 ◽  
Author(s):  
A. van Griensven ◽  
A. Francos ◽  
W. Bauwens
Keyword(s):  
Sensitivity Analysis ◽  
Assessment Tool ◽  
Calibration Procedure ◽  
Distributed Model ◽  
Shuffled Complex Evolution ◽  
Physically Based ◽  
High Pollution ◽  
Individual Variables ◽  
Weighting Problem ◽  
The One

ESWAT – Extended Soil and Water Assessment Tool – was developed to allow for an integral modelling of the water quantity and quality processes in river basins. ESWAT is a physically based, semi-distributed model, with a moderate-to-large number of parameters and input and output variables (depending on the desegregation scheme). An auto-calibration procedure was implemented for the optimisation of the process parameters. The procedure is based on a new approach for multi-objective calibration and incorporates the algorithms of the Shuffled Complex Evolution Method. The optimisation uses a global optimisation criterion, whereby several output variables can be taken into account simultaneously. A statistical method enables the aggregation of the objective functions for individual variables, hereby avoiding the weighting problem. To select the important parameters for the optimisation, a sensitivity analysis precedes the calibration. The latter analysis is based on the One-factor-At-a-Time (OAT) design approach. The sensitivity analysis and the calibration procedure are applied to the river Dender in Belgium. The river is characterised by high pollution loads and long residence times in summer periods.

Sensitivity Analysis of the Wall Shear Model to the Correlations for Frequency and Slug Holdup in the Gas-Liquid Slug Flow in Pipes

2015 ◽  
Vol 1104 ◽  
pp. 61-67
Author(s):  
Luiz Eduardo Melo Lima ◽  
Eugênio Spanó Rosa
Keyword(s):  
Sensitivity Analysis ◽  
Mixture Model ◽  
Liquid Mixture ◽  
Shear Model ◽  
One Dimensional ◽  
Intermittent Behavior ◽  
Wall Shear ◽  
The One ◽  
Isothermal Gas ◽  
Liquid Flows

The one-dimensional mixture model efficiently predicts gas-liquid flows dominated by gravity force. The advantages of the mixture model are the absence of interfacial terms and the reduced number of transport equations, but its weakness lies on the constitutive laws to predict the wall shear force of a gas-liquid mixture. The objective of this work is to realize a sensitivity analysis of the wall shear model (based on the intermittent behavior of the gas and liquid structures) to the correlations for frequency and slug holdup in the one-dimensional, steady state mixture model applied to an isothermal gas-liquid mixture flowing in the slug regime. The numerical results for the pressure gradient obtained here are compared against experimental data from previous work.

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