Testing Tools Research Articles

ANALISIS PERBANDINGAN CAMEL PADA BANK BCA SYARIAH SEBELUM DAN SELAMA PANDEMI COVID-19

The Covid-19 pandemic has had an impact on various aspects of the economy and business activities. The Covid-19 pandemic has an impact on banking and financial performance which will af ect the level of bank health. There is a way that can be done to determine the impact of the pandemic regarding bank health, namely by requiring objective and precise benchmarks. This research aims to analyze financial reports on the performance of Sharia Banks before the Covid-19 pandemic and during the Covid-19 pandemic. The data analysis method applied in this research is quantitative descriptive analysis. Quantitative analysis is a scientific method because it meets scientific principles, namely empirical concreteness, objective, measurable, rational and systematic. This analysis uses research data in the form of numbers and carries out statistical analysis (Sugiyono, 2013). Then, the analysis tool in this research uses the time series data analysis model. The sampling method in this research is Non-Probability Sampling. The sampling technique for this research is saturated sampling. 12 samples were applied before the Covid-19 pandemic and 12 samples were applied during the Covid-19 pandemic. The testing tool used is SPSS version 24. The research results show that the CAMEL method shows that in the Capital Adequacy Ratio, Non Performing Financing, BOPO ratios there is a significant dif erence between before the Covid-19 pandemic and during the Covid-19 pandemic, while the Return on Assets indicator shows that there is no significant dif erence between before and during the Covid-19 pandemic. Financing to Deposit Ratio shows that there is no significant dif erence between before and during the Covid-19 pandemic.

Synthetic X-ray Image Generation for Non-Destructive Testing using Generative Adversarial Networks

Developing and optimizing a Machine Learning (ML) based Non-Destructive Testing (NDT) tool for automotive manufacturing can be challenging due to the need for a significant amount of annotated training data. Obtaining such an extent of real X-ray images of different defects can be challenging and expensive. Hence, generating synthetic images with adequate defects is a viable option to fill this gap. This contribution presents a novel approach that harnesses Generative Adversarial Networks (GANs) to simulate industrial X-ray images of specific parts of a car wheel (rim and spokes) with defects and their annotations. The presented method draws inspiration from techniques used in medical healthcare radiography as well as the NDT field for simulating synthetic X-ray images. We propose a novel deep neural network architecture for generating high-resolution X-ray images of size 1024 x 512 pixels with porous defects in specified locations. These images are automatically generated from edge masks of the desired structure. We conducted separate evaluations for both, the generated images and the included defects. To assess the generated image quality, we used image properties and structural similarity metrics. The generated images achieved an MSSIM index of over 0.90. We analyzed the local gray-scale profile of synthetic images to evaluate the quality of generated defects. A state-of-the-art defect detector (ISAR, developed by Fraunhofer EZRT) was used to estimate defect detection based on various IoU thresholds. In conclusion, the presented research demonstrates the feasibility of leveraging GANs to generate synthetic 2D X- ray image data, including defects for training ML-based NDT tools. This approach opens new possibilities for developing and optimizing robust NDT solutions by overcoming the challenges of obtaining real data with defects.

Mapping Organizational Performance Using Digital Technologies

Abstract The present article studies the importance of new technologies connected with today’s business environment. From small businesses to corporations, companies are adapting to new high-tech solutions to increase efficiency, productivity, and customer engagement. The increasing use of artificial intelligence, automation, and other digital media is changing the way businesses are conducted. One of the most significant advantages of technology in business is efficiency. Process automation and the use of advanced software can help companies to reduce costs and to optimize their operations. Technology can also improve the quality of products and services through the use of digital testing and quality control tools. Technological innovations such as artificial intelligence, blockchain, and the Internet of Things have made process automation possible and given companies new ways to manage their operations and expand their businesses. The authors highlighted the latest literature related to the analyzed fields, and at the same time, VOSviewer was used as a reinforcement and literature’ tool for the chosen keywords.

Register transfer level hardware design information flow modeling and security verification method

Information flow analysis can effectively model the security behavior and security properties of hardware design. However, the existing gate level information flow analysis methods cannot deal with large-scale designs due to computing power and verification effectiveness, and the register transfer level (RTL) information flow analysis methods require formal languages to rewrite hardware designs. This paper proposes a RTL hardware design information flow modeling and security verification method. Based on the RTL functional model, this method develops an information flow tracking logical model to model security behavior and security properties of RTL hardware designs from the perspective of information flow. This method can be integrated into EDA flows and uses EDA testing and verification tools to capture security property violations and detect security vulnerabilities based on non-interference security policy. The results on experiments with Trust-Hub hardware Trojan benchmarks show that the proposed method can effectively detect hardware Trojans.

TRIUMPH OF SECURITY : FORTIFYING DIGITAL FORTRESSES WITH TRIPLE GUARD AUTHENTICATION

Abstract : Network security is crucial in today’s interconnected world, and traditional text-based passwords are insufficient. This paper introduces a Three-Level Security system to enhance protection with a multi-tiered approach: Level-1 Login-based Password, Level-2 Graphical Authentication, and Level-3 Image-Based Password. The system ensures authorized access, defines user permissions, and encrypts data. It includes monitoring, rate limiting, regular updates, and penetration testing, using Python-based tools for vulnerability scanning. Triple Guard encrypts data both at rest and in transit, ensuring confidentiality and integrity. It adaptive to emerging threats and vulnerabilities, integrating Python-based security testing tools for vulnerability scanning and code analysis. By providing developers and administrators with a robust and extensible password security solution . Triple Guard encrypts data both at rest and in transit, preserving its confidentiality and integrity. Index Terms :-. Login Password Authentication, Graphical Authentication, Image Authentication, Python, Chatgpt.

Research on AFDX network configuration testing technology

The terminal system, as a key part of AFDX network data transmission, determines the communication performance of the entire AFDX network. In order to test the functionality of the verification end system and evaluate the transmission performance of the AFDX network, this article proposes an AFDX network configuration testing method. Firstly, the configuration testing specifications for the end system is designed, an overall framework for end system testing is established; the testing response mechanism of the end system is studied; the testing process is standardized; and generated configuration files are as input information for algorithm design in the following stage. Secondly, incentive data generation algorithms is designed, incentive data generation frameworks is established, the constraints for data transmission are formalized, and incentive data transmission schedules are generated using SMT solvers. Next, an AFDX network configuration testing tool is designed and implemented; the performance from the perspectives of operational stability and response time is evaluated to prove the effectiveness of the tool. Finally, the types and performance of the seven clock function modules in the overlay network configuration are tested, and the experimental results prove the effectiveness of the network configuration testing method.

Pengaruh Pengetahuan Perpajakan, Kesadaran Wajib Pajak Dan Kualitas Pelayanan Fiskus Terhadap Kepatuhan Wajib Pajak Dalam Membayar Pajak Bumi Dan Bangunan Di Kecamatan Bojongloa Kaler

The research objective is to provide a deep understanding of the set of factors that hold influence on tax compliance, so that either the government or stakeholders can take strategic steps to increase tax revenue. The quantitative method of research applied descriptive and verification approaches. Primary data is obtained directly from the sample under study through the distribution of questionnaires which are then analyzed using statistical test tools. While secondary data is obtained through documents and literature relevant to this research. Sampling was carried out through the application of purposive sampling techniques with the Slovin formula. The population in the study was 13,779 land and building taxpayers whose objects were located in Bojongloa Kaler District. With this population and a margin of error of 10%, the number of samples obtained in this study was 100 respondents in Bojongloa Kaler District. Based on the research results, it is concluded that there is a strong positive influence between taxation knowledge (X1) and taxpayer awareness (X2) on taxpayer compliance (Y) with a significance level of 0.000 (p < 0.005) and t count 4.482 > t table 1.984 for X1, and 0.000 (p < 0.005) with t count 3.783 > t table 1.984 for X2. However, there is no strong influence between the quality of fiscal services (X3) on taxpayer compliance (Y) with a significance level of 0.547 (p> 0.005) and t count 0.605 < t table 1.984. So it can be concluded that taxation knowledge and taxpayer awareness hold a strong influence on taxpayer compliance, while the quality of tax authorities' services does not hold a strong influence on taxpayer compliance.

Pairwise test case generation with harmony search, one-parameter-at-at-time, seeding, and constraint mechanism integration

Pairwise testing is a method for identifying defects through combinatorial analysis. It involves testing all possible combinations of input parameters in pairs within a system, ensuring that each pair is tested at least once. The field of test case generation is highly active in the realm of combinatorial interaction testing. Research in this area is particularly encouraged, as it falls under the category of non-deterministic polynomial-time hardness. A big challenge in this field is the combinatorial explosion problem. It is about finding the best test suite that covers all possible combinations of interaction strength. In this paper, we present the task of discovering a pairwise test set as a search problem and introduce an innovative testing tool referred to as pairwise test case generation in harmony search algorithm with seeding and constraint mechanism (PHOSC). Experimental results show that PHOSC performs better compared to some existing pairwise strategies in terms of test suite size. Additionally, PHOSC provides a comprehensive framework and serves as a research platform for the generation of pairwise test sets employing the harmony search algorithm. It adopts an approach that focuses on one parameter at a time (OPAT) and incorporates seeding and constraint mechanisms at the same time, thereby enhancing the efficiency and effectiveness of the testing process.

Эффективность преференциального режима для предприятий российской Арк­тики: инструментарий и результаты оценки

The preferential regime for business activities in the Russian Arctic is a new regulatory mechanism that requires monitoring of implementation and evaluation of effectiveness. The issues of the effects of preferential treatment at the enterprise level fail essential study, which complicates the further development of this regulatory instrument. The authors focus their study at developing and testing tools for assessing the effectiveness of the preferential regime at the level of hotel companies, as well as identifying general trends in the implementation of the regulatory mechanism. They reveal that the revenue of resident companies have increased by an average of 4.6 times since receiving the status. In the structure of production factors, there is an increase in the importance of the labor factor in generating revenue for new resident companies and an increase in the importance of the capital factor for old resident companies (opened before 2020). The value of projects of new residents for the development of the local regions may be largely associated with the implementation of the function of the labor market social stabilization. The significance of the projects of “old residents” for the local regions lies in the intensification of the development of propulsion industries and specialization industries.

Development and evaluation of a lateral flow-based portable optical system for determination of the pregnancy status of dairy cows

Our objectives were to develop and evaluate an integrated system consisting of a lateral-flow immunoassay (LFIA) and an electronic portable imaging device for determination of pregnancy status of cows based on plasma concentrations of pregnancy-specific protein B (PSPB). Experiment 1 was conducted to test the performance of the LFIA for PSPB (PSPB-LFIA) whereas experiment 2 was conducted to evaluate the performance of the integrated system including both the LFIA and imaging device. The PSPB-LFIA strips were made of nitrocellulose membrane with polystreptavidin, anti-mouse antibody, Europium-anti-PSPB conjugates, and biotin-PSPB. After adding buffer and plasma in a 96-well plate, strips were dipped to initiate flow and were read in a fluorescence microscope to estimate PSPB concentrations based on the test-to-control line signal (T/C ratio). The T/C ratio of standards was linearly associated with PSPB (R2 = 0.99 in both experiments) concentrations. To test the ability to identify pregnant cows of the PSPB-LFIA only or the integrated system, plasma samples were collected and transrectal ultrasonography (TUS) was conducted 29 to 35 d post AI in lactating Holstein cows (Experiment 1: n = 83; Experiment 2: n = 205). A cow was considered pregnant (Preg) if concentrations of PSPB in plasma obtained by ELISA were ≥2 ng/mL or if an embryo was visible by TUS. In Experiment 1, the accuracy of the PSPB-LFIA compared with ELISA was 92.7% (91.2% Se; 96.1% Sp; 98.1% PPV; 83.3% NPV) and compared with TUS was 90.4% (100% Se; 78.9% Sp; 84.9% PPV; 100% NPV). The agreement between LFIA and ELISA (kappa = 0.84; 95%CI 0.71-0.96) or LFIA and TUS (kappa = 0.80; 95%CI 0.67-0.93) as methods to classify cows as Preg or Non-Preg was high. In Experiment 2, the accuracy of the PSPB-LFIA compared with ELISA was 96.1% (93.8% Se; 100% Sp; 100% PPV; 90.5% NPV) and compared with TUS was 92.2% (99.0% Se; 84.7% Sp; 87.6% PPV; 98.8% NPV). The agreement between LFIA and ELISA (kappa = 0.92; 95%CI 0.86-0.97) or LFIA and TUS (kappa = 0.84; 95%CI 0.77-0.92) as methods to classify cows as Preg or Non-Preg was high. We conclude that a system integrating a fluorescence-based LFIA and an optical reader was effective for classifying cows as pregnant or not pregnant based on estimations of plasma concentrations of PSPB. This novel system serves as a platform for further development of on-farm pregnancy testing tools based on measurement of biomarkers of pregnancy in bodily fluids of cattle.

Fluorinated benzothiadiazole fluorescent probe based on ICT mechanism for highly selectivity and sensitive detection of fluoride ion

Excessive fluoride ion (F-) in the environment can affect health and even endanger life when ingested by the human body. However, most fluoride probes have the disadvantages of low sensitivity and long detection time. Herein, fluorescent probe 3a is successfully synthesized by linking two acetylenyltrimethylsilyl groups at both ends of the fluorinated benzothiadiazole core. After the addition of F- to 3a, the emission at 436 nm is significantly quenched and slightly blue-shifted. It is confirmed by electrospray ionization high-resolution mass spectrometry (ESI-HRMS) and density functional theory calculations (DFT) that these changes are due to the F- triggered Si-C bond cleavage and the subsequent inactivation of intramolecular charge transfer (ICT). The detection limit and response time of probe 3a for F- are 10-8 mol/L and 25 s, respectively. Importantly, fluorescent material 3a can be processed into portable test tools for the visual detection of fluoride ion.

Dampak Penerapan Akuntansi Forensik Dan Audit Investigasi Serta Mengevaluasi Proses Pengungkapan Tindak Pidana Fraud Pengadaan Barang/Jasa

As a result of the forensic accounting and investigative audit processes as well as procedures for detecting criminal acts related to the procurement of goods and services, fraud occurred related to community needs as follows: Procurement of goods and services. This usually happens in Indonesia. This research uses the Partial Least Squares (PLS) analysis technique and the SmartPLS 3.2.8 software testing tool. The results show that forensic accounting practices and investigative audit results influence the detection rate of fraud in the procurement of goods and services.

Three-dimensional super-resolution crack imaging in industrial manufactured components: A truncated correlation photothermal coherence tomography approach

The challenge of detecting cracks in powder metallurgy (PM) components has been a topic of interest for many years, with no practical commercial solution currently in place. This study employs enhanced truncation-correlation photothermal coherence tomography (eTC-PCT) to visualize 3D cracks within PM automotive parts. Through the application of effective diffusion-wave reversal techniques, blurred infrared thermophotonic images of subsurface defects (cracks) in (“green”) compressed metal PM components were restored to their original geometric resolution over the entire depth range. This approach enabled the creation of 3-dimensional depth-resolved photothermal tomographic images and cross-sectional mappings of cracks. The developed technique reveals the precise spatial dimensions of surface and subsurface cracks, reaching depths of down to 3 mm (not an upper limit) that conventional thermal imaging cannot access due to limitations imposed by the depth-integrated nature of conventional thermal-wave imaging, the properties of PM materials, and the physics of spreading diffusion. The super-resolution method was further applied to a sintered automotive part, specifically validating the efficacy of eTC-PCT for non-destructive imaging (NDI) in manufactured automotive components. Diffusion reversal imaging shows promise as a non-destructive testing (NDT) tool, with potential applications in a wide range of manufactured products, including both the green and sintered stages of automotive component production.

The Unexpected Benefits of a Research-Practice Partnership’s Efforts to Strengthen Budgetary Decision-Making

ABSTRACT Our research-practice partnership (RPP) focused on developing and testing metrics and tools to foster improved evidence-based budgetary decision-making. We expected our research findings to directly influence decisions about program expansion, contraction, or elimination. Instead, unexpected findings led to unexpected uses: changes in program implementation, administrative data collection processes, and the kinds of information provided to inform budget and program improvement decisions. We conducted a content analysis of two rounds of interviews with senior district budget decision-makers to identify recommendations for improving the budget decision process and document changes in the budget process over time. Our study highlights the sometimes unanticipated ways that RPPs can inform educational decisions.

Determinants Of Digital Entrepreneurship Intention

This research discusses how entrepreneurial knowledge, income expectations, self-efficacy, and family environment can play a role and influence students' interest in entrepreneurship in online- based businesses, especially high school/vocational school students in the Bogor area. The aim of this research is to analyze and test the influence of entrepreneurial knowledge, income expectations, self-efficacy, and family environment in order to find out how big their influence is and how these three variables are able to influence the interest of high school/vocational school students in the Bogor area to become online entrepreneurs. In this study, 4 exogenous variables and 1 endogenous variable were used. The data collection method in this research used a questionnaire with a total of 1 7 9 respondents from SMA/SMK students in the Bogor area. For the data analysis method, use an analysis model with SEM-PLS or Structural Equation Modeling–Partial Least Square. To process the data using an analysis test tool, namely SmartPLS v. 3.2.9. The results of this research show that partially income expectations have a significant effect on interest in online entrepreneurship with a significance value of 0.002 < 0.05. Partially, self-efficacy has a significant effect on interest in online entrepreneurship with a significance value of 0.000 <0.05. And the family environment partially has a significant effect on interest in online entrepreneurship with a significance value of 0.000 <0.05. However, partially entrepreneurial knowledge does not significantly influence interest in online entrepreneurship with a significance value of 0.380 > 0.05. Keywords: entrepreneurship knowledge, income expectations, self-efficacy, family environment, interest in online entrepreneurship

The Relationship between Intelligence and Mitochondrial DNA Polymorphism at Site of 15925 Base Pairs

Intelligence has a huge influences and is very closely related with human’s life. Because intelligence is indefinable, scholars have specified it through testing tools and named it intelligence quotient (IQ). In measuring IQ, researchers have found that IQ has a wide distribution and tried to find out the reasons by assessing the brain's functional level and environmental and genetic factors. One study reported an association between IQ and mitochondrial DNA (mtDNA) sequence 15,925, and this study investigated the association in Koreans. The number of participants was 57 in the mental retardation group without chromosomal abnormalities and 148 in the normal group, respectively. PCR technique and direct sequencing analysis were used to know participant’s mtDNA sequences. At 15,925 base, all participants had only wild type C and no variant type of m.15,925 C > T. We further studied variants in mtDNA sequences 15,926-15,927. At 15,926 base, the variant type of 15,926 C < T was found in only one case (0.7%) in the control group. At the 15,927 base, variant type of 15,927 G < A was found in 9 cases (6.1%) in the control group and 1 case (1.8%) in the retardation group, respectively. As a result, the polymorphisms of mtDNA sequences at bases 15,925-15,927 had no statistical significance in the Korean control and mental retardation group.

Buoyant Metal-Organic Framework Corona-Driven Fast Isolation and Ultrasensitive Profiling of Circulating Extracellular Vesicles.

Accurately assaying tumor-derived circulating extracellular vesicles (EVs) is fundamental in noninvasive cancer diagnosis and therapeutic monitoring but limited by challenges in efficient EV isolation and profiling. Here, we report a bioinspired buoyancy-driven metal-organic framework (MOF) corona that leverages on-bubble coordination and dual-encoded surface-enhanced Raman scattering (SERS) nanotags to streamline rapid isolation and ultrasensitive profiling of plasma EVs in a single assay for cancer diagnostics. This integrated bubble-MOF-SERS EV assay (IBMsv) allows barnacle-like high-density adhesion of MOFs on a self-floating bubble surface to enable fast isolation (2 min, near 90% capture efficiency) of tumor EVs via enhanced EV-MOF binding. Also, IBMsv harnesses four-plexed SERS nanotags to profile the captured EV surface protein markers at a single-particle level. Such a sensitive assay allows multiplexed profiling of EVs across five cancer types, revealing heterogeneous EV surface expression patterns. Furthermore, the IBMsv assay enables cancer diagnosis in a pilot clinical cohort (n = 55) with accuracies >95%, improves discrimination between cancer and noncancer patients via an algorithm, and monitors the surgical treatment response from hepatocellular carcinoma patients. This assay provides a fast, sensitive, streamlined, multiplexed, and portable blood test tool to enable cancer diagnosis and response monitoring in clinical settings.

Pengaruh Semangat Kerja dan Inovasi Kerja Terhadap Kualitas Kerja Pegawai pada Dinas Pendidikan dan Kebudayaan Provinsi Gorontalo

This research aims to find out how much influence work enthusiasm and work innovation have on the quality of work of employees at the Gorontalo province education and culture service. The population in this study were employees at the Gorontalo province education and culture service, namely 156 employees. The sampling technique used was random sampling technique. The number of samples in this study was 112 respondents and used the Slovin formula. Data collection uses questionnaires, observation, documentation and interviews. Analysis test tools using multiple linear regression analysis and statistical analysis methods using the SPSS 26 application. The results of this research show that, (1) work morale has a positive and significant effect on employee work quality; (2) work innovation has a positive and significant effect on employee work quality; (3) Simultaneously (together) work enthusiasm and work innovation have a positive and significant effect on work quality. To improve the quality of employee work, agencies need to pay attention to increasing employee morale and work innovation, so that work discipline and responsibility can be implemented that target improvements in solving problems in every job. So that if the work spirit and work innovation of employees at the Gorontalo provincial education and culture service is better, it will have an impact on improving the quality of work in every job they do.

A Peel Test Method to Characterize the Decay Law of Prepreg Tape Tack at Different Temperatures.

The tack of prepreg is a key factor affecting the automatic tape laying process. During the manufacturing process of large composite parts, prepreg material may be stored at room temperature for several days, resulting in a decrease in its tack. In this study, a new tack test tool was designed, and the decay rate of prepreg tack at different temperatures was tested. We proposed a prepreg tack decay model, which assumes that the main factor in tack decay is the reduction in resin chain activity during storage. The maximum deviation between the model calculation results and the experimental results of the tack decay rate is 9.7%. This study also proposed a new statistical unit for prepreg tack, which can establish the relationship between the tack of prepreg and its remaining storage time and reduce prepreg management costs.

Fabrication of pbs films for air mass filter of solar simulator

The production of solar panels is continuously increasing due to increasing demands at industrial and residential levels. This also leads to an increasing demand for solar simulator testing tools. A solar simulator is a tool to assess a solar panel's performance in lab and industry scales. One of the main components of the solar simulator is the Air Mass Filter (AMF). The primary function of AMF is to remove unwanted wave bands from the solar simulator light source (e.g., Xe arc lamp) so that the filtered spectrum is commensurate to that of solar irradiation. An AMF can be produced by fabricating a thin material layer on a transparent substrate like glass. The film would absorb certain wave bands in different ways. This paper reports the fabrication of the chalcogenide PbS thin films for applying AMF. The thermal evaporation technique is used for the film fabrication. PbS is known for its versatility for applications in different optical devices due to its tailorable optical properties. Different amounts (in grams) of PbS source powders are used to deposit the PbS thin films. The optical properties of the films are then examined using UV-Vis spectroscopy. The distributions of the transmittance intensity of the Xe-arc-lamp light with and without the use of the films as an optical filter are then examined using a solar simulator. From the experiments, the film deposited using a 0.012 g PbS powder source is regarded as the optimum one regarding the transmittance intensity distribution.