Analysis Verification Research Articles

Pengaruh Kepuasan Kerja dan Loyalitas Kerja Terhadap Turnover Intention PT Sumber Alfaria Trijaya. Tbk Kecamatan Karawang Barat

This study aims to find out and assess the effect of job satisfaction and job loyalty on employees' intention to leave their current workplace. PT Sumber Alfaria Trijaya. Tbk, became the object of this research which is located in West Karawang. The method used in this research is kunatitatif type with verification analysis techniques. The sampling method used is saturated sampling, with a total of 105 responses received from the total number of participants. In analysing the research data, multiple linear regression analysis was used for this study. from the results of the research found that at PT Sumber Alfaria Trijaya. Tbk, job satisfaction and job loyalty have a simultaneous and partial impact on the desire to leave the current job and look for a new job elsewhere. The level of job satisfaction and loyalty that a person has towards his company has a positive relationship with the desire to leave his current job. About 13% of the results generated by this model are influenced by external variables.

Pengaruh Kompetensi dan Komunikasi Terhadap Kinerja Karyawan PT Beta Pharmacon

Performance is the work result that can be achieved by individuals or work teams within an organization to achieve organizational goals within a certain period of time. Competence is defined as an individual's ability to carry out a job correctly and with excellence. Reciprocal activities in conveying messages, using message delivery media or without media, are defined as communication processes. This research aims to determine and analyze the influence of competency and communication variables on the performance of PT Beta Pharmacon. The quantitative descriptive research design used multiple linear regression verification a population of 388 employees, and used a proportional starting random sampling technique with the Slovin formula and a sample of 80 was determined. The results of the descriptive analysis of the competency are in good criteria, the communication is in good criteria and the performance is in good criteria. The results of the verification analysis of the competency variable (X1) partially have a very significant influence on employee performance, the communication variable (X2) partially has a very significant influence on employee performance, while the competency variable (X1) and communication variable (X2) have a simultaneous influence on employee performance (Y).

Implementation of Supply Chain Management and Strategic Processes in Total Quality Management to Improve Operational Performance

Purpose: This research aims to empirically determine how much influence supply chain management, strategic process, and total quality management have on the company's operational performance, both partially and simultaneously. Methodology/Approach: The study involved eight manufacturing companies in Bandung and focused on 104 operational employees. It used descriptive and verification analysis with a path analysis approach, and data were collected through questionnaires via purposive sampling and the Slovin formula. Findings: The results show that 1) Supply Chain Management (SCM) and Strategic Processes (SP) positively impact total quality management and operational performance, 2) Total Quality Management (TQM) negatively affects operational performance, and 3) supply chain management has the greatest influence on both. Research Limitation/Implication: Future research should expand the sample size or include companies from different regions and industries to improve external validity. Originality/Value of paper: This study emphasises the importance of supply chain management, strategic processes, and TQM in operational performance, with supply chain management being the most crucial factor for quality management and improved performance.

The Use of "Seven" as an English Learning Medium for 7th Grade Junior High School Students

This article focuses on the development of mobile learning media using Android-based applications to enhance the teaching and learning process, specifically for English language education in seventh-grade classrooms. The study follows the research and development (R&D) model proposed by Lee and Owens (2004) and was conducted in two private schools in the Malang district. The development process consists of five phases: assessment/analysis, design, development, implementation, and evaluation. The "Seven" application, developed using the Andromo platform, aims to improve the four basic skills of English language learning: reading, speaking, writing, and listening. The effectiveness of the application was evaluated through material verification and media verification, using qualitative and quantitative data analysis methods. The findings indicate that the "Seven" application was well-received by students, with positive feedback regarding its user-friendly interface and the engaging learning experience it provided. The study demonstrates the potential of Android-based mobile learning as an effective and practical tool for enhancing English language education in seventh-grade classrooms.

THE EFFECT OF DEMOCRATIC LEADERSHIP STYLE ON EMPLOYEE PERFORMANCE WITH PSYCHOLOGICAL EMPOWERMENT AS A MEDIATION VARIABLE IN DP2KBP3A INDRAGIRI HILIR DISTRICT

The aim of this research is to determine the influence of democratic leadership style on employee performance, the influence of democratic leadership style on psychological empowerment, the influence of psychological empowerment on employee performance and the influence of democratic leadership style on employee performance through psychological empowerment as mediation at the Population Control Service, Family Planning, Women's Empowerment. And Child Protection, Indragiri Hilir Regency, located at Educational Path Tembilahan Kota-Riau 29212. The type of data in this research consists of qualitative data and quantitative data using descriptive analysis and verification analysis models, where the author uses descriptive analysis to describe the characteristics of respondents and research variables, while the author uses verification analysis to test the research hypothesis. Data collection methods use questionnaires, observation and library research. The statistical method used is Structural Equation Model (SEM) to test research hypotheses using SmartPLS 4.0 software. Based on the research hypothesis test, the results showed that there was a negative influence between democratic leadership style on employee performance. There was a positive influence between democratic leadership style on psychological empowerment. There was a positive influence of psychological empowerment on employee performance. There was a positive influence of democratic leadership style on employee performance through psychological empowerment.

Food Public Opinion Prevention and Control Model Based on Sentiment Analysis.

Food public opinion is characterized by its low ignition point, high diffusibility, persistence, and strong negativity, which significantly impact food safety and consumer trust. This paper introduces the Food Public Opinion Prevention and Control (FPOPC) model driven by deep learning and personalized recommendation algorithms, rigorously tested and analyzed through experimentation. Initially, based on an analysis of food public opinion development, a comprehensive FPOPC framework addressing all stages of food public opinion was established. Subsequently, a sentiment prediction model for food news based on user comments was developed using a Stacked Autoencoder (SAE), enabling predictions about consumer sentiments toward food news. The sentiment values of the food news were then quantified, and improvements were made in allocating Pearson correlation coefficient weights, leading to the design of a collaborative filtering-based personalized food news recommendation mechanism. Furthermore, an enhanced Bloom filter integrated with HDFS technology devised a rapid recommendation mechanism for food public opinion. Finally, the designed FPOPC model and its associated mechanisms were validated through experimental verification and simulation analysis. The results demonstrate that the FPOPC model can accurately predict and control the development of food public opinion and the entire food supply chain, providing regulatory agencies with effective tools for managing food public sentiment.

CHIMBO Air Quality Modeling System: Verification and Processes Analysis

This study presents an evaluation of the CHIMBO modeling chain applied to the Italian domain, specifically focusing on the Po Valley subdomain over the one-year period of 2019. The comparison between simulated and observed data indicates that the performance of the CHIMBO model aligns well with existing literature on other state-of-the-art models. The results demonstrate that the CHIMBO chain is particularly effective for regional-scale quantitative assessments of pollutant distribution, comparable to that of CAMS ensemble models. The analysis of key chemical species in particulate matter reveals that the CHIMBO model accurately represents the average concentrations of organic and elemental carbon, as well as secondary inorganic compounds (sulfate, nitrate, and ammonium), particularly at background monitoring stations in the flat terrain of the Po Valley, with the exception of Aosta, a city located at about 500 m asl. However, seasonal discrepancies were identified, especially during winter months, when significant underestimations were observed for several species, including elemental and organic carbon, predominantly at background sites. These underestimations are likely attributed to various factors: (i) inadequate estimations of primary emissions, particularly from domestic heating; (ii) the limited effectiveness of secondary formation processes under winter conditions characterized by low photochemical activity and high humidity; and (iii) excessive dilution of pollutants during calm wind conditions due to overestimation of wind intensity. In conclusion, while the CHIMBO modeling chain serves as a robust tool for mesoscale atmospheric composition investigations, limitations persist related to emissions inventories and meteorological parameters, which remain critical drivers of atmospheric processes.

Verification Analyses for the Detection of Bovine and Porcine Species in Foods Containing Animal Gelatin with Q-Exactive ORBITRAP Device

Verification Analyses for the Detection of Bovine and Porcine Species in Foods Containing Animal Gelatin with Q-Exactive ORBITRAP Device

Formal Verification and Security Analysis of Go-based New Simple Queue System

Formal Verification and Security Analysis of Go-based New Simple Queue System

ORGANIZATIONAL CITIZENSHIP BEHAVIOR (OCB) KARYAWAN BERBASIS EFIKASI DIRI DAN BUDAYA ORGANISASI DENGAN KOMITMEN ORGANISASI SEBAGAI VARIABEL INTERVENING

The research objectives are to examine the influence of self-efficacy and organizational culture on organizational citizenship behavior (OCB) with organizational commitment as an intervening variable. A sample of 100 respondents used the purposive sampling method. Data research methods use descriptive, verification, and path analysis. This study found that self-efficacy has a direct positive and significant effect on organizational commitment, organizational culture has a direct positive and significant impact on organizational commitment, organizational commitment has a direct positive and significant effect on employee OCB, self-efficacy has a direct positive and significant impact on OCB employees, organizational culture has a direct positive and significant effect on employee OCB, organizational commitment is able to mediate the influence of self-efficacy on employee OCB, and organizational commitment is able to mediate the impact of organizational culture on employee OCB. Keywords: Self Efficacy; Organizational Culture; Organizational Citizenship Behavior; Organizational Commitment

AESware: Developing AES-enabled low-power multicore processors leveraging open RISC-V cores with a shared lightweight AES accelerator

As open-source RISC-V cores continue to be released, the development of low-power multicore processors utilizing these cores is invigorating the edge/IoT device market. Nevertheless, comprehensive research on developing low-power multicore processors with integrated security features using existing open RISC-V cores remains limited. This study addresses this gap by introducing AESware, a dedicated lightweight hardware designed for energy-efficient AES (Advanced Encryption Standard) task execution, contributing to the development of AES-specific low-power RISC-V multicore processors. AESware supports variable key lengths and ensures minimal power consumption with a compact design. This standalone IP (Intellectual Property) is compatible with various open RISC-V cores, offering scalability and convenience. And importantly, we propose the most energy-efficient architecture for multicore processors equipped with AESware. Instead of assigning dedicated AESware to each core, we introduce a shared AESware architecture to maximize energy efficiency. We develop an operational algorithm for task scheduling in AESware, achieving maximum utilization and minimal latency while maintaining its lightweight nature. To evaluate our solution, we developed 24 processors into three groups: AESware-equipped, baseline, and those with an external AES accelerator per core. After FPGA (Field-Programmable Gate Array) prototyping for functional verification and power consumption analysis via 45 nm process technology synthesis, our findings revealed significant energy savings. AESware-equipped processors achieved up to 76%, 47%, and 33% energy savings at dual-, quad-, and octa-core configurations compared to baseline, respectively, and were more energy-efficient in running AES applications than those with individual accelerators.

Probabilistic risk analysis of local verification of Load Model 1 in Eurocode for Soil-Steel Composite bridges in Sweden

Bridges must be designed to ensure safety for all users. At the same time, the design should be performed with an appropriate risk level. In Sweden, Soil-Steel Composite bridges (SSCB) are the most common bridge type. For SSCB, local verification of Load Model 1 in Eurocode is most often governing the design. The objective of this study was to investigate whether local verification of LM1 load case could be modified without decreasing the agreed risk level in Eurocode. Weight in motion measurements from real traffic were extrapolated with Rice formula. Monte Carlo simulations were used to simulate the 1000-year return period event to obtain the acceptable risk level as prescribed in Eurocode. The results show that the local verification of LM1 is conservative, considering the acceptable risk level in Eurocode. With a modified implementation of local verification, this paper shows that a potential saving of up to 14% in terms of economic cost and CO2-equivalents is possible. A modified implementation of local verification of LM1 in Eurocode for SSCB is proposed, which could reduce the climate impact by up to 14% associated to the construction of new SSCB in Sweden.

Study on the analytical verification method of geometric error models

Abstract Geometric error compensation is a widely used and effective approach for enhancing the accuracy of Coordinate Measuring Machines (CMMs) and Computer Numerical Control (CNC) machines. The research in this field primarily focuses on the challenging task of developing geometric error modelling techniques. Currently, there are several well-established methods for modelling geometric errors. However, there is scarce availability of methods that can validate the established geometric error models. Therefore, this article proposes an analytical validation method for geometric error models based on the error transformation equation. The principle of the method is elaborately explained, and its correctness is verified through specific model verification example. The method proposed in this article enables rapid and accurate model correction and iteration, effectively reducing the economic and time costs of model validation in the current geometric error compensation process. Therefore, the method provides guidance for standardising the modelling process and could be widely applied to various structural forms of measurement and machining systems.

Pengaruh Overconfidence Dimoderasi Gender terhadap Keputusan Investasi pada Generasi Milenial di Karawang

This research aims to examine the influence of overconfidence on investment decisions of the millennial generation in Karawang and evaluate whether gender variables can moderate this relationship. This research uses a survey research design. There is an independent variable, namely overconfidence and a dependent variable (dependent) investment decisions. This research focuses on the millennial generation population in Karawang, which numbers around 1,029,290 people. Meanwhile, the sample used was the millennial generation in Karawang who were active in investment activities, totaling 268 respondents. In this research, verification analysis uses Simple Linear Regression Analysis to test whether or not there is an influence of overconfidence on investment decisions. The next test to see whether the influence of the moderating variable (gender) can strengthen or weaken the overconfidence variable on investment decisions, the Moderated Regression Analysis (MRA) test is used. The research the results show that overconfidence has an influence on the investment decisions of the millennial generation. This generation tends to make investment decisions with a high level of self-confidence, which can lead to investment risks. However, gender is not able to moderate the relationship between overconfidence and investment decisions, meaning that both men and women show the same pattern regarding the influence of overconfidence on their investment decisions. Based on these findings, it is recommended to improve financial education to help the millennial generation make more rational and wise investment decisions.

MUC1 and CREB3 are Hub Ferroptosis Suppressors for Nucleus Pulposus and Annulus Fibrosus Degeneration by Integrated Bioinformatics and Experimental Verification.

Ferroptosis is an underlying mechanism for various degenerative diseases, but its role in intervertebral disc degeneration remains elusive. This study aims to explore the key ferroptosis-related genes and its role in nucleus pulposus (NP) and annulus fibrosus (AF) degeneration. We analyzed the gene expression profiles of NP and AF from the Gene Expression Omnibus database. The ferroptosis-related differentially expressed genes (FRDEGs) in degenerated NP and AF were filtered, followed by GO and KEGG analysis. Feature FRDEGs were identified by the LASSO and SVM-RFE algorithms, and then Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were conducted. Immune infiltration analysis was conducted by CIBERSORT algorithm. We established drug networks via the Drug-Gene Interaction Database and competitive endogenous RNA (ceRNA) networks via miRanda, miRDB, and TargetScan database. The expression levels of the feature FRDEGs were assessed by the validation sets, single-cell RNA-seq, and experimental verification. A total of 15 and 18 FRDEGs were obtained for NP and AF, respectively. GO and KEGG analysis revealed their implication in oxidative stress. Four (AKR1C1, AKR1C3, MUC1, ENPP2) and five (SCP2, ABCC1, KLF2, IDO1, CREB3) feature genes were identified for NP and AF, respectively. The GSEA and GSVA analysis showed that these feature genes were enriched in lots of biological functions, including immune response. CREB3 in degenerated AF was negatively correlated with Eosinophils via CIBERSORT algorithm. The drugs and ceRNAs targeting CREB3 and MUC1 were identified. Experimental verification and single-cell RNA-seq analysis revealed that MUC1 and CREB3 were downregulated in degenerated NP and AF, respectively. MUC1 and CREB3 were considered novel biomarkers for NP and AF ferroptosis, respectively. Drug and ceRNA networks were constructed for future drug development and investigation of new mechanisms of ferroptosis.

Isolation and Identification of Alkaloid Genes from the Biomass of Fritillaria taipaiensis P.Y. Li.

Fritillaria taipaiensis P.Y. Li is a valuable traditional Chinese medicinal herb that utilizes bulbs as medicine, which contain multiple alkaloids. Biomass, as a sustainable resource, has promising applications in energy, environmental, and biomedical fields. Recently, the biosynthesis and regulatory mechanisms of the main biomass components of biomass have become a prominent research topic. In this article, we explored the differences in the heterosteroidal alkaloid components of F. taipaiensis biomass using liquid chromatography-mass spectrometry and high-throughput transcriptome sequencing. The experimental results demonstrated significant differences in the eight types of heterosteroidal alkaloid components among the biomass of F. taipaiensis, including peimisine, imperialine, peimine, peiminine, ebeinone, ebeiedine, ebeiedinone, and forticine. Transcriptomic analysis revealed substantial significant differences in gene expression patterns in the various samples. Three catalytic enzyme-coding genes, 3-hydroxy-3-methylglutaryl coenzyme A synthase (HMGS), 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGR), and terpene synthase (TPS), were speculated to contribute to the regulation of the differential accumulation of alkaloid synthesis in F. taipaiensis bulbs. A strong positive correlation was observed between the transcriptional level of the TPS gene and the alkaloid content of F. taipaiensis biomass, suggesting that TPS may be a key gene in the biosynthesis pathway of alkaloids. This finding can be used for subsequent gene function verification and molecular regulatory network analysis. This work provides fundamental data and novel insights for the subsequent research on alkaloid biosynthesis in F. taipaiensis.

Pengaruh Promosi dan Merek Terhadap Minat Berkunjung di Terminal Wisata Grafika Cikole

The research was conducted at Terminal Wisata Grafika Cikole, located at Jl. Raya Tangkuban Parahu No KM 8, Cikole, Kec. Lembang, Bandung Barat Regency, West Java. The title of the research is "The Influence of Promotion and Brand on Visiting Interest at Terminal Wisata Grafika Cikole" using quantitative methods of multiple linear regression analysis and descriptive and verificative analysis. The independent variables are Promotion and Brand, and the dependent variable is Visiting Interest. The sample size used is 100 respondents. The research objective is to determine the influence of independent variables on the dependent variable. The results of the instrument test indicate that all questionnaire statements are valid and reliable. The descriptive research results show that Promotion, Brand, and Visiting Interest are all categorized as "Good". Verificative analysis results show that the Promotion and Brand variables have a positive and significant influence on Visiting Interest both partially and simultaneously. The coefficient of determination or R2 value is 65.80%, and the remaining (34.20%) is influenced by other variables outside of this study.

Pengaruh Beban Kerja dan Kompensasi Terhadap Kinerja Karyawan Grand Cemara Hotel Jakarta

This research was conducted at Grand Cemara Hotel Jakarta. The study aims to evaluate "The Effect of Workload and Compensation on Employee Performance of Grand Cemara Hotel Central Jakarta" using descriptive and verification quantitative analysis methods with multiple linear regression approaches. The independent variables in this study are Workload and Compensation, while the dependent variable is Employee Performance. The number of samples used was 52. This study aims to identify the impact of independent variables on the dependent variable. The results of the validity and reliability of the questionnaire show that all questionnaire statements are reliable and valid. Descriptively, Workload is rated "Fair", as well as Compensation and Employee Performance. The verification analysis results show that Workload and Compensation have a positive and significant effect on Employee Performance partially. Together, both have a positive and significant effect. The coefficient of determination or R2 reaches 98.70%, while the remaining 1.30% is influenced by other variables not included in the scope of this study.

OPTIMIZATION OF DIGITAL TECHNOLOGY AND ETHICS IN FRAUD PREVENTION

This study aims to empirically test the effects of information technology audits and professional ethics have a positive effect on fraud prevention efforts in financial services companies. To support this study, the method used by the researcher is a descriptive and verification analysis method with a quantitative approach to 40 auditors from 12 financial services companies. Data were collected by distributing questionnaires via Google Form with data analysis carried out using the multiple linear regression method with the help of SPSS software version 2.3. The results of the analysis show that information technology audits and professional ethics both have a significant positive effect on fraud prevention efforts. This finding emphasizes the importance of integration between information technology, audit practices, and professional ethics in maintaining the security and integrity of the company from potential fraud. This study provides an important contribution to understanding how these factors interact in the context of fraud prevention in companies.

Fraud Detection: Professional Skepticism and Quality Control System

AbstractFraud is defined as an intentional violation of the law which causes harm to others. This study aims to determine the influence of Professional Skepticism and Quality Control Systems on Fraud Detection. The method used is descriptive and verificative analysis with a quantitative approach to 40 auditors in 13 Bandung City Public Accounting Firms. Primary data was collected through survey method data collection techniques through questionnaires. The data analysis method uses multiple linear regression analysis, which tests using SPSS 23.0 software for Windows. The results of this study show that Professional Skepticism and Quality Control Systems affect Fraud Detection. This research contributes as an evaluative tool for auditors to increase professional skepticism by implementing a quality control system in their assignments. The novelty of thisresearch is that auditors require professional scepticism and good quality control systems to detect fraud quickly and accurately. Keywords:Professional Skepticism, Quality Control System, Fraud Detection