Statistical analysis for explosives detection system test and evaluation

The verification of trace explosives detection systems is often constrained to small sample sets, so it is important to support the significance of the results with statistical analysis. As binary measurements, the trials are assessed using binomial statistics. A method is described based on the probability confidence interval and expressed in terms of the upper confidence interval bound that reports the probability of successful detection and its level of statistical confidence. These parameters provide useful measures of the system’s performance. The propriety of combining statistics for similar tests—for example in trace detection trials of an explosive on multiple surfaces—is examined by statistical tests. The use of normal statistics is commonly applied to binary testing, but the confidence intervals are known to behave poorly in many circumstances, including small sample numbers. The improvement of the normal approximation with increasing sample number is shown not to be substantial for the typical numbers used in this type of explosives detection system testing, and binary statistics are preferred. The methods and techniques described here for testing trace detection can be applied as well to performance testing of explosives detection systems in general.

Design of SkSP-R Plan for Popular Statistical Distributions

The design of a Skip-lot sampling plan of type SkSP-R is presented for time truncated life test for the Weibull, Exponentiated Weibull, and Birnbaum-Saunders lifetime distributions. The plan parameters of the SkSP-R plan under these three distributions are determined through a nonlinear optimization problem. Tables are also constructed for each distribution. The advantages of the proposed plan over the existing sampling schemes are discussed. Application of the proposed plan is explained with the help of an example. The Birnbaum-Saunders distribution is economically superior to other two distributions in terms of minimum average sample number.

Optimization of Bayesian repetitive group sampling plan for quality determination in Pharmaceutical products and related materials

Sampling plans are extensively used in pharmaceutical industries to test drugs or other related materials to ensure that they are safe and consistent. A sampling plan can help to determine the quality of products, to monitor the goodness of materials and to validate the yields whether it is free from defects or not. If the manufacturing process is precisely aligned, the occurrence of defects will be an unusual occasion and will result in an excess number of zeros (no defects) during the sampling inspection. The Zero Inflated Poisson (ZIP) distribution is studied for the given scenario, which helps the management to take a precise decision about the lot and it can certainly reduce the error rate than the regular Poisson model. The Bayesian methodology is a more appropriate statistical procedure for reaching a good decision if the previous knowledge is available concerning the production process. This article proposed a new design of the Bayesian Repetitive Group Sampling plan based on Zero Inflated Poisson distribution for the quality assurance in pharmaceutical products and related materials. This plan is studied through the Gamma-Zero Inflated Poisson (G-ZIP) model to safeguard both the producer and consumer by minimizing the Average Sample Number. Necessary tables and figures are constructed for the selection of optimal plan parameters and suitable illustrations are provided that are applicable for pharmaceutical industries.

Design of single and double acceptance sampling plans based on neutrosophic sets

Although traditional acceptance sampling plans (ASPs) need certain mass quality characteristics, it is not easy to define them as crisp value in some real case problems. The fuzzy set theory (FST) is one of the popular techniques to model uncertainties of the process and therefore fuzzy ASPs have been offered in the literature. Fuzzy set extensions have been proposed recently for better modeling of the uncertainties having different sources and characteristics. One of these extensions named neutrosophic sets (NSs) can be used to increase the sensitiveness and flexibility of ASPs. The ASPs based on NSs can give ability to classify the items as defective, non-defective and indeterminate. Since the operator can become indecisive for slightly defective items, these plans can provide a good representation of human evaluations under uncertainty. In this study, single and double ASPs are designed based on NSs by using binomial and poisson distributions that are also re-analyzed based on NSs. For this aim, some characteristics functions of ASPs such as probability of accepting a lot (Pa), average outgoing quality (AOQ), average total inspection (ATI) and average sample number (ASN) have also been analyzed based on NSs. Numerical examples are presented to analyze the proposed plans.

The Correlation Between the Arm Muscle Strength to Passing Skill in Handball Games

This research aims to find out the relationship of arm muscle strength to passing skills in handball games in members of SME (Student Activity Unit) Suryakancana Cianjur University. The method used in this study used quantitative methods of this type of method with a sample number of 30 people. Data collection uses a push pull dynamometer to then perform data normality tests, data correlation tests, and simple linear regression tests. The results of the study on the data normality test obtained significant values of variableS X, 390 and variable Y of ,257 both values showed that the value exceeded a significant level of >0.05 then the data was normal distribution. Based on the results of the correlation test there is a significance value of 0.09 indicating that the data has a relationship. The results of a simple linear regression test obtained an r-square value of 0.323 that there was an influence on the relationship of arm muscle strength to the passing ability in handball games by 0.323%.Key words: Arm strength, Passing ability, Handball, Sports Skill, Motor ability

Kriging Model for Reliability Analysis of the Offshore Steel Trestle Subjected to Wave and Current Loads

Offshore steel trestles (OSTs) are exposed to severe marine environments with stochastic wave and current loads, making structural safety assessment challenging and difficult. Reliability analysis is a suitable way to consider both wave and current loading intensity uncertainties, but the implicit and complex limit state functions of the reliability analysis usually imply huge computational costs. This paper proposes an efficient reliability analysis framework for OST using the kriging model of optimal linear unbiased estimation. The surrogate model is built with stochastic waves, current parameters, and the corresponding load factors. The framework is then used to evaluate the reliability of an example OST subjected to wave and current loads at three limit states of OST, including first yield (FY), full plastic (FP), and collapse initiation (CI). Three different distributions are used for comparison of the results of failure probability and reliability index. The results and the computational cost by the proposed framework are compared with that from the Monte Carlo sampling (MCS) and Latin hypercube sampling (LHS) method. The influences of sample number on the prediction accuracy and reliability index are investigated. The influence of marine growth on the reliability analysis of the OST is discussed using MCS and the kriging model. The results show that the reliability analysis based on the kriging model can obtain the reliability index for the OST efficiently with less calculation time but similar results compared with MCS and LHS. With the increase of the number of samples, the prediction accuracy of the kriging model increases, and the corresponding failure probability fluctuates greatly at first and then tends to be stable. The reliability of the example OST is reduced with the increase of marine growth, regardless of the limit state.

Hubungan Stres Akademik Dan Kualitas Tidur Terhadap Sindrom Pramenstruasi Selama Pembelajaran Daring Di Masa Pandemi COVID-19

Premenstrual syndrome is the most common disorder experienced by women of childbearing age. There are various factors that can worsen the degree of premenstrual syndrome, including stress levels, sleep quality, nutritional status, smoking and alcohol. Various limitations during the distance learning process in the period of Covid-19 pandemic increased the academic stress and bad sleep quality of the students. This study aims to determine the relationship of academic stress and sleep quality to the degree of premenstrual syndrome in the Undergraduate Nursing students of Universitas Pembangunan Nasional Veteran Jakarta during the distance learning process in the period of the Covid-19 pandemic. This study used Cross sectional research design with a sample number of 160 respondents through Stratified Random Sampling method. Data collection is done through google form’s questionnaire using Student-Life Stress Inventory (SLSI), Pittsburgh Sleep Quality Index (PSQI) and The Shortened Premenstrual Assessment Form (SPAF) that have undergone the validity and reliability test. The result showed that there was a significant relationship between academic stress (p-value 0.000) and sleep quality (p-value 0.000) to the degree of premenstrual syndrome. This study recommends that students be able to manage and control academic stress conditions and sleep quality well to reduce the risk of premenstrual syndrome.

Influence of Trust on Customer Engagement and Intention to Reuse Ferry Transportation Modes Lembar – Padangbai

This study wants to examine buying intention factors that are influenced by trust variables and customer engagement. The study aims to find out the influence of trust on the intention of reusing the mode of transportation of the Lembar-Padangbai crossing. As well as seeing the indirect influence of trust on the intention of reusing through customer engagement on the mode of transportation crossing Lembar-Padangbai. This research was conducted on the Lembar-Padangbai crossing mode in 2021 with a population of 223,264,600 passengers. The sample number of 100 people using the formula Slovin and purposive sampling techniques. Data collection methods use questionnaires and data analysis tools using SEM analysis with the Help of the SMART-PLS Program. The results showed that trusts have a significant direct effect on reusing intentions, and customer engagement can affect the influence of trust on the intention of reusing. The contribution of the trust's direct influence on the intention of reusing is 70.5%, while the contribution of trust influence through customer engagement to the intention of reusing is 34.9%. Advice to the company to maintain the level of trust and customer engagement to increase customer intentions to reuse ferry services mode Lembar-Padangbai.

The Effect of Prices, Halal Certification, and Halal Awareness on Buying Interest Among Muslims in Samarinda

Indonesia is a Muslim-majority country. A Muslim should pay attention to what they consume especially food and drink. Muslim consumers need to increase knowledge and awareness about halal food and beverage products. The existence of halal certification from MUI becomes one of the identities of a product ability to consume. In addition the price also affects the buying interest of consumers. This research aims to find out the influence of price, halal certification, and halal awareness on the interest in buying Chatime drinks among Muslims in Samarinda city. This is quantitative. The data collection technique uses questionnaires with a sample number of 100 people with probability sampling. Data analysis using multiple regression analysis. The results showed that halal certification did not affect Chatime beverage buying interest while prices and halal awareness affected buying interest. Simultaneously, price, halal certification, and halal awareness had a significant effect on Chatime's The coefficient of determination of 45.5% indicates the magnitude of the effect of independent variables on dependent variables while the remaining 54.5% is described by other variables outside of this study. It is necessary to socialize the importance of halal certification and the inclusion of halal certification in packaging and outlets.