Data Analysis Methods Research Articles

Use of the DTRAX Posterior Cervical Facet Joint Fusion and Distraction Device: A Case Series Including 50 Patients

Objective: This retrospective study aimed to assess the efficacy, safety, and feasibility of the DTRAX system for posterior cervical facet fusion in cervical degenerative pathology.Methods: A retrospective analysis of 50 cases involving DTRAX for posterior cervical facet fusion between January 2017 and January 2022. Patient selection criteria, surgical techniques, outcome measures, and data analysis methods were defined.Results: Among the 50 patients included in this study, 21 were women (42%) and 29 were men (58%). Fusion levels varied, with 36 patients undergoing fusion at a single level (72%), 12 at 2 levels (24%), and 2 at 3 levels (4%), totalling 132 implants. The average age was 44.26 years; most patients presented with neck pain, and 23 also reported arm pain (46%). Discharge within 24 hours was common. Pseudoarthrosis was the leading indication (32%), followed by foraminal stenosis (28%) and failed prosthetic implants (24%). Postoperatively, significant reductions in neck and radicular pain were observed, with visual analogue scale scores decreasing steadily over 12 months (p<0.001). Functional improvements, measured by Neck Disability Index scores, were sustained, with a slight increase at 6 and 12 months (p<0.001). The fusion rates at 6 and 12 months were 88% and 96%, respectively. Complications were infrequent, including transient paraesthesia (2%), anterior revision surgery for foraminal stenosis (2%), and suboptimal implant positioning (4%).Conclusion: Favourable clinical and functional outcomes, high fusion rates, and relatively low complication rates were observed with the DTRAX system. Further studies are needed for validation and long-term assessment of efficacy and safety.

Pengaruh Audit Internal Terhadap Pelaksanaan Good Corporate Governace PT. Perkebunan Nusantara XIV

As the company grows, problems and activities will become more complicated, resulting in difficulties for the company to oversee operational activities that cause unhealthy governance. This study aims to analyze the influence of internal audit on the implementation of Good Corporate Governance. This study uses quantitative research which is a research method that uses data in the form of numbers and analysis using statistics. Data collection uses survey and documentation techniques. The data analysis methods used are descriptive statistical analysis and simple linear regression analysis. The results of the study show that internal audit has a positive and significant impact on the implementation of Good Corporate Governance of PT Perkebunan Nusantara XIV. The influence of internal audit has contributed to Good Corporate Governance by 37.7% and the rest is influenced by other factors

Review on the Use of Data Analysis for Customer Segmentation and Personalization in Marketing Strategies

This paper studies the application of data analysis in the field of customer segmentation and personalization. With the advent of the era of big data, enterprises and organizations have rich data resources that contain important information about customer behavior, preferences, and purchasing habits. Through data analytics, companies can better understand customer needs and provide personalized products and services, thereby improving customer satisfaction and loyalty. This study aims to explore the application of data analytics in the field of customer segmentation and personalization, and provides some common data analysis methods. Data analysis methods include probabilistic methods and Bayesian methods, among others. Through case studies, the application of data analysis in the field of e-commerce is explained. The research results show that data analytics has important value and potential applications in customer segmentation and personalized marketing. However, data analysis still faces some challenges and limitations in practice, including data security and quality issues. Future research can continue to explore methods and techniques for data analysis, solve problems such as data privacy and security, and apply data analysis in more fields.

The Influence Of Marketing Mix On Customer Loyalty Using Smart IB Savings Products

The aim of this research is to find out whether customer loyalty to the Smart iB Savings product of Bank Sumut Kcp Syariah Karya is influenced by the Marketing Mix during the 2018–2023 period. Participants in this research were customers of Bank Sumut Kcp Syariah Karya. Quantitative research is the methodology used. Researchers only selected a sample of 33 customer respondents, so the selection was carried out using a saturated sampling technique. Validated and reliable questionnaires were included in the data collection methods. Multiple linear regression, classical assumption test, F hypothesis test, t hypothesis test, and coefficient of determination are data analysis methods used to answer hypotheses. The results of the research conducted show that the coefficient of determination (adjusted R square) is 0.663 or 66.3%. That Price, Product, Place and Promotion simultaneously influence the loyalty of customers who use the Smart iB Savings product at Bank Sumut Kcp Syariah Karya Period 2018-2023. Price has no effect on customer loyalty who use the Smart iB savings product at Bank Sumut Kcp Syariah Karya for the 2018-2023 period. The product influences the loyalty of customers who use the Smart iB savings product at Bank Sumut Kcp Syariah Karya for the 2018-2023 period. Place has no effect on customer loyalty who use the Smart iB savings product at Bank Sumut Kcp Syariah Karya for the 2018-2023 period. Furthermore, promotions have an effect on customer loyalty who use Smart iB savings products at Bank Sumut Kcp Syariah Karya for the 2018-2023 period.

Behavior of Using Tax Technology in Tax Volunteers in Jember Regency

This study aims to determine the behavior of using tax technology in tax volunteers in Jember district. This study compares whether there is a difference in the behavior of using tax technology between accounting tax volunteers and non-accounting tax volunteers. The research method used in this study is a quantitative method and the type of data used is primary data in the form of questionnaire results that have been distributed to respondents. The sample in this study is 90 tax volunteers in Jember district with 45 of them accounting tax volunteers and 45 other non-accounting tax volunteers. The data collection technique is purposive sampling. The data analysis methods used were descriptive analysis and independent sample t-test analysis. The results of this study show that there is no difference between accounting tax volunteers and non-accounting tax volunteers regarding the behavior of using tax technology. Further research is expected to be able to examine related to the behavior of using tax technology with a wider object.

Enhanced Diabetes Prediction and Monitoring through Integration of Multimodal Data Using XGBoost

Abstract: Diabetes is a critical and become more complicated disease that can cause serious health problems if it is not adequately managed. The early diagnosis and treatment of diabetes is a critical component of the condition that can be greatly aided by data analysis and predictive algorithms. Through the use of data mining techniques, such as classification and prediction models, it is possible to analyse various elements of diabetes data and extract useful information that can be used for the early detection and prediction of the condition. One machine learning technique that can effectively and highly precisely predict diabetes is the XGBoost classifier. This method makes use of the gradient-boosting architecture and can handle large and intricate datasets with independent high-dimensional feature sets. Conversely, it is crucial to remember that the choice of the best algorithm for diabetes prediction could depend on the specifics of the data as well as the area of study being investigated. Data analysis and prediction methods can be applied not only to anticipate diabetes but also to monitor the disease's progression, find risk factors for diabetes and its complications, and assess the effectiveness of treatment. By using these techniques, medical professionals can obtain important insights into the disease's underlying causes, which helps them make informed decisions about patient management. The early detection and management of diabetes, a chronic disease that is rapidly expanding and poses major health risks, has the potential to be significantly improved through the application of data analysis and prediction algorithms. An accuracy rate of 89% was achieved by the XGBoost classifier, which demonstrated the highest level of performance.

The technological revolution’s impact on business management

The rapid advancement of technology in the era of the fourth industrial revolution has significantly transformed organizational management practices. This study examines the influence of technological progress on organizational management, specifically analyzing the effects of data analysis and digital management methods in response to these changes. The main objective is to determine how these technological advancements impact enterprises of various sizes in the Czech Republic. The research employed comparative and analytical approaches, utilizing survey data collected from numerous organizations. Concrete methods used in the study include a comprehensive questionnaire survey, comparative analysis, and statistical correlation analysis to assess the significance of technologies based on the classification of enterprise size. The findings demonstrate substantial disparities in the implementation and advantages of technology contingent upon the magnitude of the organization, with smaller and larger enterprises exhibiting enhanced flexibility and deliberate assimilation of novel technologies. The main conclusion is that proficient administration of technology results in competitive advantages and operational efficiencies. Companies are advised to customize their technology strategies based on their available resources and market requirements. Further analysis explores the connections between investments in technology and other organizational elements such as financial resources and personnel, highlighting the importance of developing coherent plans that successfully incorporate technology into the overall structure of the organization.

ANALYSIS OF CONSUMER PERCEPTION AND CONSUMER INTEREST TOWARD PURCHASE DECISION AT SWALAYAN 88 MEDAN

The purpose of this study was to determine the effect of consumer perceptions and consumer interest on purchasing decisions at Brastagi Supermarket Manhattan Times Square Medan. This research is a type of quantitative research. The population in this study are all consumers who make purchases at the Swalayan 88 Medan, the number of which is unknown. The sampling technique using the Lemeshow sampling technique obtained as many as 96 research samples. The method of collecting data in this research is literature study and questionnaires. Methods of data analysis using descriptive analysis and simple linear regression analysis. The results showed that the value of tcount (7.483) > ttable (1.985) with a significance of 0.000 ttable (1.985) with a significance of 0.042 Ftable (3.07) with a significant level of 0.00 < 0.05 so that it can be interpreted that H3 is accepted with the understanding that there is an influence between Consumer Perceptions and Consumer Interests on Purchase Decisions

Analisis Nilai Tambah Agroindustri Cokelat Tahu (Studi Kasus Di Wijaya Kembar Sukses Kota Kediri)

The purpose of this research is to determine the process of processing tofu chocolate, to know the added value and profits, as well as the Net Profit Margin (NPM) obtained from the tofu chocolate agroindustry. This research was conducted from November to December 2023, which took place at the Wijaya Kembar Sukses located on Jalan Tinalan IV Timur, Number 1, Pesantren District, Kediri City. The method used in this study is a quantitative descriptive method, which describes the condition of the research with data in the form of number. The data analysis methods used are the Hayami and NPM (Net Profit Margin).The results of the study show that the tofu chocolate processing process includes the stages of tool and material preparation, tofu cutting, tofu frying, tofu slicing, chocolate melting, printing, cooling, and packaging. he added value of chocolate tofu using the Hayami method is included in the high criteria. It is necessary to carry out further research on marketing strategies and business development so that people are more familiar with tofu chocolate products and can increase sales volume.

Peran Kelembagaan Dalam Pengembangan Agribisnis Kubis (Brassica Oleracea) Pada Kelompok Tani Argoayuningtani Di Kabupaten Boyolali

This study aims to find out what institutions play a role in the development of cabbage agribusiness, find out the level of institutional performance, and find out the level of satisfaction of farmers with the institutional performance of cabbage agribusiness in the Argoayuningtani Farmer Group, Senden Village, Selo District, Boyolali Regency. The method used is the purposive sampling method. The data analysis methods used are likert analysis, Importance Performance Analysis (IPA), and Customer Satisfaction Index (CSI). The results of the study show that the institutional performance of production facilities, marketing, farmer groups, financing, as well as information and technology is considered satisfactory and in accordance with farmers' expectations. The priority for improvement is in quadrant 1, namely the quality of saprodi and agricultural tools, information and price stability, the existence of cooperatives, and farmer groups as production units. The level of satisfaction of farmers with the institutional performance of cabbage agribusiness is included in the satisfied category.

Development Of Learning Media Based On Macromedia Flash To Improve The Learning Outcomes Of IPAS Subjects Of Class IV Students Fatahillah Min 2 Jember

Educational media serves as a medium through which teachers deliver learning materials to students, facilitating understanding and assimilation of content. The use of educational media is very important in elementary schools, especially in the context of science learning in class IV Fatahillah MIN 2 Jember. One practical tool that can be used by teachers in teaching science is Macromedia Flash-based learning media. One type of research and development (R&D) approach used in this study is the Borg & Gall model. The test subjects came from fourth grade students of MIN 2 Jember. The material used is the historical stories of the kingdoms in Indonesia in the past through media. Methods such as surveys, exams, observations, and interviews were used to collect data. Quantitative and qualitative data analysis methods, in addition to the T-test, were used in data analysis techniques. With a media design score of 90.6% and an effectiveness level in assisting learning of 92%, the learning media created achieved a content validation level of 93.3%, in line with the findings. Overall, students found the learning media quite interesting, with an attractiveness rate of 82.5%. The average post-test score of 75.9 was much higher than the average pre-test score of 48.7, indicating a considerable improvement in student learning outcomes. There is a chance value of 0.000, which is less than 0.05, in the T-test analysis of this study. Thus, we accept Ha as the alternative hypothesis and reject Ho as the null hypothesis. Thus, it is reasonable to assume that science education can benefit from the incorporation of Macromedia Flash-based learning materials.

Building a system of diagnostics of problem areas in the management of business processes of the organization

Aim. To develop and formulate an algorithm that allows timely diagnosing and eliminating problems in business processes.Objectives. To consider and systematize the main signs of problems in business processes; to determine the main sources, causes of losses and inefficiency; to formulate an algorithm that allows to assess the effectiveness of the process; to test the proposed algorithm for assessing the effectiveness of business processes on the example of a specific organization.Methods. The authors used the methods of descriptive literature review and statistical data analysis. The research includes the study and analysis of scientific articles, reports of scientific conferences and other publications related to the subject of the article. The analysis of statistical data is based on the performance of the organization, in particular the operator of urban mobility services. All data used for calculations are of a conditional nature.Results. In the process of research the works of modern authors related to the analysis of efficiency and diagnostics of problems in business processes are considered and generalized. In the mentioned works some theoretical aspects of the topic are widely and in detail studied, which are then systematized by the authors of the present study. As a result, an algorithm has been formed that allows in practice to monitor the efficiency of business processes of the organization, as well as to diagnose possible problems in a timely manner. When testing this approach in practice, in the context of the analysis of business processes in the organization, the following results were obtained: a number of critical problems in business processes that have a negative impact on the result of activity were identified; a plan to improve their efficiency was developed and implemented.Conclusions. The process approach is one of the most successful tools to improve the efficiency of the organization. Optimal operation of all key and essential business processes ultimately affects the company’s result. The operating conditions of an organization are constantly changing under the influence of a dynamic business environment. One of the most important elements of the efficiency management system for business processes, and consequently for the business as a whole, is a properly formed set of indicative indicators reflecting the progress of each process. The choice of indicators should be based primarily on the strategic goals of the organization, cascaded down to the level of individual processes. The study confirmed the hypothesis that the risks of efficiency reduction can be identified in advance and in a timely manner with the help of a correctly constructed system of simple control indicators. For these purposes, taking into account the concept of lean production and continuous improvement, as well as on the basis of the classification of losses set out in it, a questionnaire for express analysis of business process efficiency has been developed.

Hubungan Indeks Massa Tubuh Terhadap Kelincahan Pemain Futsal Academy Al-Hadid Surabaya Usia 20 Tahun

The dominant characteristics of movement in futsal are fast and agile in changing direction of movement, which is explained as agility. To maximize the physical components of agility, an ideal body composition will certainly be needed, which can be seen through the body mass index. Body mass index is a measuring tool to determine a person's ideal body composition through the calculation of weight and height. This study investigates the relationship between body mass index and agility of futsal players at the AL-Hadid Academy Surabaya aged 20 years in 2024. This study uses a quantitative descriptive approach that focuses on correlation. The data collection method is carried out using 2 instruments, including measuring height and weight to calculate body mass index with the formula and conducting an agility test using the illinois agility test which is only measured once on each instrument. Body mass index is the independent variable in this study, and agility is the dependent variable. using descriptive statistical data analysis methods, linearity tests, and product moment correlation analysis. The results of data analysis show that body mass index has a linear relationship in the linearity test with a significant deviation form linearity value of 0.165> 0.05. Then in the product moment correlation test, a significance value of 0.000 and a correlation coefficient value of 0.709 were obtained, which can be said to be correlated, the direction of the relationship is positive, and indicates a very strong degree of relationship. Based on the statistical results, it can be concluded that body mass index has a very strong relationship to the agility of futsal players.

Analisis Pengakuan Pendapatan dan Beban Pada PTPN III (Persero) Medan

This study aims to determine whether the recognition of revenues and expenses at PT Perkebunan Nusantara III (Persero) Medan is by financial accounting standards. This study's primary and secondary data sources are primary and secondary. Data collection techniques in this study were interviews and documentation. The data analysis methods used in this research are descriptive and comparative analysis. At PT Perkebunan Nusantara III (Persero) Medan, the method applied in revenue recognition is the accrual basis. Revenue is recognized based on the amount of money received from customers less expenses. At PT Perkebunan Nusantara III (Persero), Medan expenses are recognized in the financial statements by the basis used, namely the accrual basis; the expenses are recognized when the transaction occurs. The results show that the company has applied the revenue recognition method according to PSAK.72, where revenue is recognized when the asset is transferred to the customer.

The US Economy as a Network: A Comparison across Economic and Environmental Metrics

Environmental-economic analysis is an evolving field that seeks to situate the human economy within environmental systems through its consumption of environmental resources and cycling of resources and waste products back into the environment. Environmental accounting has seen increased focus in recent years as national and regional governments look to better track environmental flows to aid in policy development and evaluation. This study outlines a conceptual environmental-economic framework founded on network science principles. An empirical study operationalizes portions of the framework and highlights the need for further research in this area to develop new data sources and analytic methods. We demonstrate a spatial mismatch between the location of water-intensive industries and the natural location of water resources (i.e., lakes, rivers, and precipitation), which climate change is likely to exacerbate. We use eigenvector centrality to measure differences in the US economy according to economic trade flow and five associated environmental flow accounts (land use, water consumption, energy use, mineral metal use, and greenhouse gas production). Population normalization helps to identify low-population counties that play a central role in the environmental-economic system as a function of their natural resources.

Tindak Tutur Asertif Dalam Podcast Bersama Sherly Annavita Pada Kanal Youtube Inilahcom

This research aims to describe assertive illocutionary speech acts in podcasts with Sherly Annavita on the YouTube channel inicom. The data collection methods and techniques used in this research are the listening method and the skillful free-involved listening technique. The data analysis methods and techniques used in this research are the matching method and the technique of selecting determining elements. The presentation of the analysis results in this research uses informal techniques. The results of this research show that the most dominant type of assertive speech act is speech stating a number of 10 data; Next, the speech explaining, the speech informing, and the speech giving an opinion each contain 6 data.

Farmer Group Members' Absorption of Agricultural Extension with Demonstration Methods and Lectures (Case Study in Gunungrejo Village, Kedungpring District, Lamongan Regency)

The development of food crop agriculture helps the role of agricultural extension workers, maintains the stability of food self-sufficiency, increases people's income, and improves nutritional conditions through diversification of food types. Research objectives: to determine the absorption of members of the Berkah Tani I and Berkah Tani II farmer groups to counseling using demonstration methods and lectures; to determine differences in the absorption of members of Berkah Tani I and Berkah Tani II farmer groups to counseling using demonstration methods and lectures from various age strata. Hypotheses proposed: there are differences in the absorption of Berkah Tani I and Berkah Tani II farmer groups towards counseling using demonstration methods and lectures in each group; there are differences in absorption at each age level towards the use of demonstration methods and lecture methods. Data analysis methods using tabulation, scored and to determine the absorption at various age levels used the F test. The conclusions of the study are as follows: the use of demonstration method and lecture method in extension activities carried out alone - alone can improve the knowledge of farmers, among others: in Berkah Tani I farmer group that uses the demonstration method from the criteria enough (average value - average 27.52) to good (average value - average 40.78); in Berkah Tani II farmer group.

Weight class prediction based on sparrow search algorithm optimised random forest model

In this paper, we improve the traditional random forest model by optimising the random forest algorithm based on sparrow search algorithm and compare the effectiveness of the two models for weight class prediction. Initial exploration of the data revealed that age, height, weight and BMI play an important role in weight class prediction. Correlation analyses showed a strong correlation between age and BMI and weight class. The experimental results show that the random forest model optimised based on the sparrow search algorithm achieves 100% in prediction accuracy, which improves the accuracy by 1.2% compared with the traditional random forest algorithm, and has better prediction effect. The significance of this paper is that a random forest algorithm optimised based on the sparrow search algorithm is proposed and experimentally demonstrated to have better performance in weight class prediction. This is of great significance in the fields of weight management, health assessment, and disease risk assessment. In addition, this study demonstrates the value of data analysis and machine learning methods in solving real-world problems. In conclusion, this paper provides new ideas for further improvement and application of machine learning algorithms, and provides references and lessons for researchers in related fields.

RETRACTED: A semi-arid climate's use of exploratory data analysis (EDA) as a reliable non-parametric method for geochemical mapping

In this study, exploratory data analysis (EDA) methods, specifically boxplots, were employed to examine the composition of stream sediments in the Collo area of Northeast Algeria. The region's diverse lithological formations, interactions between permanent and temporary watercourses, intermittent flash floods, rugged topography, and fluctuating climatic conditions contribute significantly to data variability. Utilizing the boxplot's capabilities, our analytical approach successfully identified outliers, recorded the actual distribution of data, and determined skewness without the need for prior data processing, often required in conventional statistical studies. The boxplot proved to be an effective tool, offering insights into the geographical distribution of elemental concentrations, including iron (Fe), zinc (Zn), copper (Cu), arsenic (As), chromium (Cr), and lead (Pb). Geochemical mapping, driven by a robust class selection mechanism developed from the boxplot, revealed strong geographical correlations. A notable northeastern anomaly, characterized by elevated concentrations of Pb, Zn, Cu, and As, aligned with known base-metal sulfide and arsenopyrite mineralization sites. Additionally, outlier data for Cr indicated proximity to a plagioclase-lherzolite intrusion and known chromite deposits. The geographical distribution of iron, corresponding with known magnetite and hematite resources, was effectively highlighted using robust class selection based on boxplot analysis. This comprehensive investigation underscores the value of EDA methods in identifying mineralization trends amid the complex variability of the Collo area.

Electronic Noses: From Gas-Sensitive Components and Practical Applications to Data Processing.

Artificial olfaction, also known as an electronic nose, is a gas identification device that replicates the human olfactory organ. This system integrates sensor arrays to detect gases, data acquisition for signal processing, and data analysis for precise identification, enabling it to assess gases both qualitatively and quantitatively in complex settings. This article provides a brief overview of the research progress in electronic nose technology, which is divided into three main elements, focusing on gas-sensitive materials, electronic nose applications, and data analysis methods. Furthermore, the review explores both traditional MOS materials and the newer porous materials like MOFs for gas sensors, summarizing the applications of electronic noses across diverse fields including disease diagnosis, environmental monitoring, food safety, and agricultural production. Additionally, it covers electronic nose pattern recognition and signal drift suppression algorithms. Ultimately, the summary identifies challenges faced by current systems and offers innovative solutions for future advancements. Overall, this endeavor forges a solid foundation and establishes a conceptual framework for ongoing research in the field.