Pearson Product Research Articles

Research on signal denoising algorithm based on ICEEMDAN eddy current detection

This study addresses the challenges of non-stationarity and significant background noise interference in eddy current detection signals by proposing a noise reduction method based on Improved Complete Ensemble Empirical Mode Decomposition with Adapted Noise (ICEEMDAN). The process commences with the signal being decomposed using Improved Complete Ensemble Empirical Mode Decomposition with Adapted Noise into a finite number of Intrinsic Mode Functions (IMFs). Each Intrinsic Mode Function is then evaluated for the presence of high-frequency noise using a Power Spectral Density (PSD) analysis. The high-frequency noise present in the Intrinsic Mode Functions is then reduced using Normalized Least Mean Squares (NLMS) before being reconstructed with the remaining Intrinsic Mode Functions. Subsequently, the reconstructed signals are subjected to another round of decomposition using Improved Complete Ensemble Empirical Mode Decomposition with Adapted Noise. The Pearson Product Moment Correlation Coefficient (PPMCC) is utilised to calculate the correlation between the Intrinsic Mode Functions within each layer, retaining those with a strong correlation to further attenuate noise. Ultimately, the local maxima judgement method selectively amplifies defect signals by assessing changes in peak and valley degrees, thereby improving the signal-to-noise ratio of the eddy current detection signal. The experimental results demonstrate that, in comparison to the use of only the conventional Improved Complete Ensemble Empirical Mode Decomposition with Adapted Noise and Normalized Least Mean Squares denoising methods, the proposed method increases the Signal-to-Noise Ratio (SNR) by 1.08 dB and 2.31 dB, respectively, and decreases the Mean Square Error (MSE) by 106.9 and 223.9, respectively. The false alarm rate for stainless steel welded tubes with defects is 1.4%, while the false alarm rate for stainless steel welded tubes without defects is 0.4%.

Pengaruh Metode Bil Qolam dalam Meningkatkan Kemampuan Membaca Al-Qur’an Siswa di SMP Khadijah Surabaya

The use of the bil qolam method applied at Khadijah Middle School in Surabaya is very important to study because this method is effective and has been proven to be able to produce a generation that is able to read the Al-Qur'an. The research method uses a quantitative approach, using percentage analysis techniques and Pearson product moment correlation. The population in this study were students in grades IX-X-XII, totaling 439 students. The sampling technique in this research used the Quota Porposive Random Sampling technique which was taken randomly from 439 students so that 20% was taken, namely 439 x 20%, namely 88. For data collection, questionnaires, observation and documentation were used. The location of this research is Khadijah Middle School, Surabaya. The results of the research show that the use of the bil qolam method at Khadijah Middle School Surabaya is in the very good category, namely reaching 89.20% which is in the 80%-100% interval. Meanwhile, the ability to read the Al-Qur'an at Khadijah Middle School Surabaya is categorized as very good, reaching 91.25%, which is in the 80%-100% interval. And there is an influence between the bil qolam method on the ability to read the Al-Qur'an of Khadijah Surabaya Middle School students, this is proven in the product moment analysis with a value of rxy = 0.603 which is included in the correlation coefficient interval of 0.60-0.799 which is classified as having a strong influence. There is a significant influence between the bil qolam method on students' ability to read the Al-Qur'an at Khadijah Middle School Surabaya, this is proven by tcount > ttable, namely 0.0097 > 1.66623.

Pengaruh Pemasaran Konten Instagram Akun @Sodfestival terhadap Minat Membeli Tiket Festival Musik “Sound of Downtown”

This study aims to analyze the influence of Instagram content marketing on ticket purchase interest at the Sounds of Downtown (SoD) music festival. The method used is a quantitative approach with data collection through questionnaires to 100 respondents, who are followers of the Instagram account @sodfestival aged 15-26 years. The data analysis technique uses the Pearson Product Moment correlation test, T test, and F test. The results of the study indicate that there is a positive and significant relationship between Instagram content marketing and purchase interest (r = 0.918, p <0.05). In addition, Instagram content marketing has a significant effect on purchase interest with a determination coefficient of 84.2%, indicating that this variable is able to explain most of the variation in purchase interest. The results of the T test (t = 22.864, p <0.05) and F test (F = 522.764, p <0.05) support that Instagram content marketing has a significant effect on ticket purchase interest. Thus, content marketing through Instagram has proven to be an effective strategy in increasing consumer purchase interest at the Sounds of Downtown music festival. Keywords: Engagement, Music Festival, Instagram, Online Questionnaire, Purchase Interest, Internet Users, Online Marketing Strategy

Upscaling Current Data Caching and Prefetching Strategies for Online Databases in Nigeria

This study investigated upscaling current data caching and prefetching strategies for online databases in Nigeria, with a focus on practical implications. The research design adopted for this study was the descriptive survey. The population comprised of all undergraduate’s library students in public tertiary institutions in Ekiti State. A simple random sampling technique was adopted to select 200 library students from Ekiti State University in the study area. The instrument used for data collection was a structured 4 Likert type questionnaire. The questionnaire was distributed to the respondents to find out the effectiveness of caching and prefetching techniques on online databases. The instrument was both face and content validated by two experts from the department of Library studies in Ekiti State University, Ado-Ekiti State. The reliability of the instrument was ensured using Pearson Product Moment Correlation formula which yielded a coefficient of 0.99. The data collected were analyzed using descriptive statistics such as mean and standard deviation. The result showed that the current caching and prefetching techniques employed in online databases are highly effective; the different access patterns have effect on the effectiveness of caching and prefetching techniques in online databases and there are impacts of cache coherence mechanisms on the efficiency of caching and prefetching techniques in online databases. It was therefore recommended that the inclusion of caching and prefetching in curriculum is important across all educational level in Nigeria, with a clear emphasis on the practical implications. In addition, caching and perfecting have come under fire for focusing mostly on computer science.

Silencing Anxiety with Social Savvy: The Role of Interpersonal Intelligence in EFL Classrooms

Communication anxiety significantly hinders learning outcomes in English as a Foreign Language (EFL) classrooms. This research explores the correlation between interpersonal intelligence and communication anxiety among high school students, assessing how variations in interpersonal skills influence anxiety levels during EFL interactions. Employing a quantitative approach, the study engaged 32 eleventh-grade students from class 11 MIPA 3 at SMA Mekar Arum, selected through random sampling. Data were collected using designed questionnaires to evaluate interpersonal intelligence and communication anxiety and analyzed with Pearson Product Moment Correlation via SPSS 22.0. The results indicated a significant negative correlation between interpersonal intelligence and communication anxiety (r= -0.494, p < 0.05), demonstrating that students with higher interpersonal intelligence experience lower communication anxiety. Notably, 65.6% of the students demonstrated medium levels of interpersonal intelligence, while 34.4% had high levels. In terms of communication anxiety, 56.3% of students experienced moderate levels, and 43.8% experienced high levels. Conclusively, this study underscores the importance of fostering interpersonal intelligence as a strategic approach to alleviate communication anxiety in EFL settings. It recommends that EFL instructors integrate group-based and interactive activities that enhance interpersonal relations among students to improve their educational experience and outcomes.

PROBLEMATIC INTERNET USE AND SOCIAL ANXIETY IN LATE ADOLESCENTS SOCIAL MEDIA USERS IN BEKASI CITY

The phenomenon of problematic internet use is one of the phenomena that is rife in late adolescents. This is an important concern for many researchers, especially regarding excessive internet use, especially in accessing social media. This study aims to determine whether there is a relationship between problematic internet use and social anxiety in late adolescents who use social media in Bekasi City. This study involved 111 late adolescents in the city of Bekasi who actively used social media for 5 hours or more/day. This research is a quantitative research with a correlational type. The sampling technique uses a purposive sampling technique. Data analysis was performed with the correlation technique of Pearson Product Moment using the program SPSS versi 25 for windows. Based on the result of research data analysis the value of corellation coefficient between those two variables is 0,661** with significant degree amount is 0,000, This suggest that there is a a positive relationship between problematic internet use and social anxiety among adolescents. So it can be concluded that the higher the problematic internet use in adolescents, the higher the level of adolescent anxiety.

Probabilistic Inventory Models and Productivity of Selected Manufacturing Firms in Port Harcourt

This study examines the relationship between probabilistic inventory models and productivity of selected manufacturing firms in port Harcourt. Correlational survey research design was adopted for this study as this study seek to determine the relationship between the two variables. The population of this study is thirty-two (32) manufacturing companies in Rivers State which are registered with the Rivers State branch of Manufacturers Association of Nigeria (MAN). This gave us a total of ninety-two (92) for the study. Structured questionnaire instrument title” Probabilistic inventory models and productivity of selected manufacturing firms in Port Harcourt. questionnaire was developed on five- point likert scale. The result of the Cronbach's Alpha reliability test indicates .800 which is above .70 which implies that the items are reliable. Pearson product moment correlation was used to test the hypotheses using SPSS (statistical package social sciences). The study revealed that there is a significant relationship between Continuous Review Models and Productivity of manufacturing firms in Port Harcourt, Rivers State. There is a significant relationship between Periodic Review Models and Productivity of manufacturing firms in Port Harcourt, Rivers State. There is a significant relationship between Single-Period Models and Productivity of manufacturing firms in Port Harcourt, Rivers State. The study concluded that Probabilistic inventory models play a crucial role in optimizing inventory management for manufacturing firms. The study recommended that Manufacturing firms in Port Harcourt should consider implementing probabilistic inventory models such as continuous review, periodic review, and single-period models to optimize their inventory management processes.

The Predictive Power of Students' Metacognition and Perceptions of Instructional Competencies of Instructors on Academic Life Satisfaction

In university education, change and development occur due to environmental factors and the individual's efforts. Students' awareness of their cognitions, the instructors they interact with, and their qualifications play an essential role in this development and change process and determine academic life satisfaction. This study aims to assess university students' metacognitive skill perception and their perceptions of instructors' instructional competencies and to reveal the predictive power of these two variables on academic life satisfaction. The practical implications of this study's findings can empower educators and students to enhance academic life satisfaction. Based on the relational survey model, the study's data were obtained from 405 students at a state university's Faculty of Humanities and Social Sciences. Academic Life Satisfaction Scale, Metacognitive Skill Perceptions Scale, and Instructor’s Instructional Competence Scale were used to collect data. In the data analysis, the Pearson Product Moment Correlation coefficient was calculated to examine the relationship between the scores obtained from the scales. Hierarchical Regression Analysis was used to solve the sub-problems related to prediction. The hierarchical regression included the student's achievement perception as a control variable. As a result of the data analysis, it was determined that there was a moderate positive significant relationship between students' academic life satisfaction and their perception of instructors' instructional competencies and metacognitive skill perception levels. When students' achievement perceptions were controlled, it was determined that metacognitive skill perception explained 15% of academic life satisfaction. When achievement perception and metacognitive skill perception were controlled, it was found that the perception of the instructor's instructional competence explained 10% of academic life satisfaction. Based on the research findings, it was concluded that the effect of students' metacognitive skill perception on academic life satisfaction was higher than their perceptions of the instructor's instructional competence.

Learning Action Cell Program and Teachers’ Functional Competency in Cagayan De Oro City

Learning Action Cell (LAC) program influences teachers’ functional competency. It is an integral part of professional development initiatives, which impacts teachers’ instructional skills, classroom management, assessment strategies, and professional growth. This study focused on the implementation of LAC program and teachers’ functional competency in the Division of Cagayan de Oro City. It sought to determine the relationship between the implementation of LAC and teachers’ functional competency and find the level of implementation of LAC and teachers’ functional competency. A descriptive-correlational method was used in this study. The respondents were one hundred forty-seven (147) public elementary school teachers. The survey questionnaire was the main instrument used to gather data. The statistical tools used were descriptive statistics such as mean and standard deviation. Pearson Product Moment Correlation (r) was employed to determine the relationship between the implementation of LAC and teachers’ functional competency. Findings revealed that the LAC program was well implemented, and the level of teachers’ functional competency was outstanding. Hence, there was a significant relationship between the implementation of LAC and teachers’ functional competency. It is recommended that LAC coordinators align LAC activities with the school’s broader professional development plans. Teachers should also engage in collaborative projects with other educators to share experiences and best practices. School heads should also provide training and support strategies for teachers.

Constraints limiting the effectiveness of extension agents in disseminating climate-smart agricultural practices among rice farmers in north-Central Nigeria

Climate-smart agricultural practices play a crucial role in achieving national food security and development goals, and the significance of extension agents in this endeavor is invaluable. In view of this, this study investigated the constraints limiting the effectiveness of extension agents in disseminating climate-smart agricultural practices to rice farmers in North-central, Nigeria. The study specifically examined the socioeconomic characteristics of the extension agents, the dissemination pathways employed by them, constraints limiting the extension agents from effectively disseminating climate-smart agricultural practices, and the factors that influence their constraints. Data for the study were collected using a well-structured questionnaire administered to a total of 88 respondents selected through a multistage sampling procedure. Data analysis was done using descriptive statistics and Pearson product–moment correlation. The result showed that the respondents had a mean age of 48 years, the majority were males (93.2%), married (95.5%), and (85.2%) had tertiary education. Dissemination pathway/ method mostly used by the extension were; farm and home visits (𝑥̅ = 1.73), result demonstration (𝑥̅ = 1.66), and methods demonstration (𝑥̅ = 1.58). The constraints impeding the extension agents in disseminating CSA practices were; insufficient number of extension workers to provide services for a large number of farmers (𝑥̅ = 1.87), lack of incentives for staff motivation (𝑥̅ = 1.83), inadequate means of transportation (𝑥̅ = 1.83), were ranked 1st,2nd, and 3rd, respectively. There was a negative significant correlation (p = 0.05) between the number of training and personal constraints, as well as institutional constraints (p = 0.017) in the dissemination of climate-smart agricultural practices. Therefore, it is recommended that extension agents receive periodic training and incentives such as awards, cash rewards, promotions, and staff recognition from government bodies to enhance their performance.

Hubungan Adiksi Game Online dengan Prokrastinasi Akademik

This study is motivated by the growing problem among students today, namely academic procrastination and one of the factors that influence academic procrastination is the behavior of addiction or online game addiction. This study aims to describe online game addiction and student academic procrastination, and to determine the relationship between online game addiction and student academic procrastination. The research method used in this study is quantitative with a descriptive correlational approach. The sample of this study was 121 students selected using purposive sampling technique. The instruments used in this study are online game addiction instruments and academic procrastination instruments. The data were processed with statistical techniques to determine the percentage value processed in the Microsoft excel program, to find the relationship between the two variables used the Pearson product moment technique. The results of this study show: 1) Online Game Addiction in MTsN 3 Padang students is generally in the moderate category with an average achievement score of 121.41 (55.37%), 2) Academic Procrastination in MTsN 3 Padang students in general is in the moderate category with an average score of 82.05 (76.86%), 3) There is a significant positive relationship between Online Game Addiction and Academic Procrastination of MTsN 3 Padang students with a correlation coefficient of 0.587 and a significance level of 0.000. This means that the higher the student's Online Game Addiction, the higher the Academic Procrastination in students, and vice versa, the lower the student's Online Game Addiction, the lower the Academic Procrastination in students.

Analysis of the Implementation of the Contextual Science Teaching Factory Learning Model at the Medan City Center of Excellence Vocational School

This research aims to describe and determine the implementation of the Contextual Science Based Teaching Factory learning model at the Medan City Center of Excellence Vocational School and the factors inhibiting the implementation of the Contextual Science Based Teaching Factory learning model at the Medan City Center of Excellence Vocational School. This research is a qualitative descriptive study. The subjects in this research were 10 teachers who taught, 10 industrial partners and. and 25 class XI students at the Excellence Central Vocational School, Medan City. Data collection techniques were carried out using unstructured interviews and closed questionnaires. Before the research instrument is used, a validity test is first carried out using the Pearson Product Moment Correlation formula and a reliability test using the Cronbach's Alpha formula. The results of this research found that in the Context aspect it went well, in the Input aspect it went well and in the Process aspect it also went well but in the Product aspect it still went less well. Through this research it is hoped that the role of the stakeholders will be more optimal so that the Teaching Factory learning model is Contextually Based Science can proceed according to expectations.

Operating Efficiency and Financial Performance of Deposit Money Banks in Nigeria

This study has examined the influence of operating efficiency on the financial performance of Deposit Money Banks (DMBs) in Nigeria. Data used were extracted from the Annual Reports and Accounts of selected twelve (12) listed banks as on May 13, 2021 from 2011 to 2020. The Pearson Product Moment Correlation analysis was employed to determine the relationship between operating efficiency and financial performance of sampled banks. Panel Least Square regression was deployed to analyse the effect of operating efficiency on financial performance of the DMBs while the one-way ANOVA test was engaged in ascertaining significant differences in financial performances of the Systemically Important (D-SIBs) and the Non-Systemically Important (D-NSIBs) Banks. Findings revealed positive significant effect of operating efficiency on financial performance of all DMBs while there was no significant difference in the mean financial performances of the D-SIBs and D-NSIBs in Nigeria over the study period. It is therefore recommended that bank managements exercise due diligence in controlling operating costs of banks and Regulators should pay equal supervisory and regulatory attention to all banks without discrimination as all DMBs have the potential to exhibit systemic importance in the long run.

Examination of Physical Activity Attitudes and Anti-Social Behaviors of Middle School Students

The aim of this study is to examine the physical activity attitudes and antisocial behaviors of middle school students. The research group of the study consisted of a total of 1046 students, 509 boys and 537 girls, aged between 11 and 13, studying in 5-6-7-8th grades in three secondary schools affiliated to the Ministry of National Education in Esenyurt district of Istanbul province in the 2022-2023 academic year. "Personal Information Form", "Physical Activity Attitude Scale for Secondary School Students" and "Antisocial Behavior Scale for Secondary School Students" were used as data collection tools. SPSS 25.0 statistical package program was used to evaluate the data and to find calculated values. Data were summarized by giving mean and standard deviations. Whether the data were normally distributed was checked with the range of Kurtosis and Skewness coefficients and it was determined that the data were normally distributed. Since the data were normally distributed, independent group t-test was used for pairwise cluster comparisons and One-Way Analysis of Variance (ANOVA) was used for more than two cluster comparisons. Tukey HSD multiple comparison test was used to determine the source of significant differences as a result of ANOVA. The Pearson Product Moment Correlation Coefficient was used to determine whether there was a significant relationship between the mean scores of the Physical Activity Attitude Scale and Antisocial Behavior Scale sub-dimensions of the participants who participated in the study. Within the scope of this study, the scale reliability coefficient was calculated as .77. The significance level was taken as 0.05. As a result of the analysis, no significant difference was found between the physical activity attitudes of secondary school students and family income level and mother's working status (p>0.05), while a significant difference was found between gender, grade level, mother's education level and father's education level variables (p<0.05). While no significant difference was observed between antisocial behaviors and family income level (p>0.05), a significant difference was found between other demographic variables (p<0.05). In addition, while no significant difference was found between the self-confidence sub-dimension of the Physical Activity Attitude Scale and the inappropriate behavior sub-dimension of the Antisocial Behavior Scale (p>0.01), significant differences were found between the other sub-dimensions (p<0.01) As a result, it can be said that students' physical activity attitudes affect antisocial behaviors.

Consumer’s willingness to try new microalgae-based food in Indonesia

Microalgae has been an under-researched food ingredient that is high in protein. In Indonesian context, research on consumer's willingness to try microalgae as a food ingredient should be performed. This research was performed to examine the factors influencing consumers' willingness to try microalgae. Data were collected from 535 respondents using a structured questionnaire distributed via Google Form on social media which were then analyzed using Structural Equation Models-Partial Least Square, with initial tests of internal consistency and reliability of questionnaire items carried out using the Pearson Product Moment correlation analysis. The results showed that consumer willingness to try microalgae-based food was positively and significantly influenced by consumer lifestyles towards food and consumer behavior (knowledge, attitudes, involvement and subjective norms). This finding indicates that there is a fairly broad opportunity to develop microalgae as a food ingredient in Indonesia. The government is encouraged to support the promotion of microalgae as health food. Positive support from the government is expected to drive marine farmers, entrepreneurs, food processing industries, cultivators, distributors and food retailers to further enhance the microalgae businesses.

Correlational Analysis of Food and Nutrition Literacy and Academic Performance among Intermediate-Level Students

This study aimed to determine the significant relationship between food and nutrition literacy and academic performance among intermediate-level students. Total population sampling was used which included fifty-three respondents. Through non-experimental quantitative descriptive-correlational research technique, validated questionnaire, Mean, and Pearson-Product Moment Correlation Coefficient (Pearson-r); results showed that the level of food and nutrition literacy was high or evident. It was also found out that the level of students’ academic performance was satisfactory. There was a no significant relationship between food and nutrition literacy and students’ academic performance. This means that the level of knowledge and skills about food and nutrition does not have a significant association to the academic performance of the students. In other words, whether a student knows a lot or a little about food and nutrition does not significantly correlate with their grades or academic success. The researchers recommended that teachers continue educating students about food and nutritional concepts, as well as developing academic performance. In addition to that, future researchers may conduct longitudinal studies to track the impact of food and nutrition literacy over time.

Pengaruh Current Ratio, Sales Growth, Net Profit Margin dan Firm Size. Terhadap Harga Saham: pada Perusahaan Pertambangan yang terdaftar di Bursa Efek Indonesia (BEI) periode 2016-2022

The purpose of this research is to ascertain how Return on Assets in Mining Companies Listed on the Indonesia Stock Exchange is affected by Current Ratio, Sales Growth, Net Profit Margin, and Firm Size between 2015 and 2022. This study employs a quantitative methodology that combines a verification and descriptive strategy. Various statistical tests are employed in hypothesis testing, including partial and simultaneous tests (t and f tests), multiple linear regression tests, Pearson product moment correlation coefficient tests, determination coefficient tests, and classical assumption tests. 56 mining companies' financial reports provided the sample data. Purposive sampling combined with nonprobability sampling is being used. IBM SPSS version 26.0 was the analysis tool used in this investigation. Current Ratio has a considerable impact on stock price, according to study data. A major factor influencing stock price is sales growth. The stock price is not influenced in part by firm size or net profit margin. According to the study's findings, the stock price is significantly impacted by the concurrently obtained current ratio, sales growth, net profit margin, and company size.

Effects of Inductive and Deductive Inquiry Teaching Approaches on Technical College Students Achievement in Metalwork

The impact of inductive and deductive teaching methods on metalwork proficiency was evaluated among technical college students. The purpose of study was designed to determine the effect of inductive and deductive inquiry teaching approaches to enhance students’ cognitive achievement in Metalwork and to students’ psychomotor achievement in Metalwork. The study, involving 115 students, employed a pre-test, post-test, non-equivalent control group design, with 56 students allocated to the Deductive Inquiry group and 59 to the Inductive Inquiry group. Data were collected using the Metalwork Achievement Test (MCAT) and the Metalwork Psychomotor Achievement Test (MPAT). The Pearson Product Moment Correlation produced a correlation coefficient of 0.83 for assessing the MCAT's reliability. The reliability of MPAT was determined using the scorer dependability technique. The inter-rater agreement was 0.82. Despite a non-significant ANCOVA result at the 0.05 level, the students in the experimental groups showed superior mean scores. In metalwork instruction, students who employed the inductive inquiry method earned higher average scores on both the cognitive and psychomotor tests. The mean scores were statistically significant. Given these findings, Metalwork teachers at technical colleges should employ an inquiry-based learning method.

Return on Asset, Return on Equity, Gross Profit Margin and Net Profit Margin of manufacturing companies in the Consumer Sector Listed on the Indonesia Stock Exchange and its Impact on Earnings Growth from 2015 to 2022

With regard to manufacturing businesses in the consumption sector listed on the Indonesia Stock Exchange between 2015 and 2022, the purpose of this study is to ascertain the impact of profitability measures, which include Return on Equity, Gross Profit Margin, and Net Profit Margin, on Profit Growth. An approach to verification and description is combined with a quantitative methodology in this study. A variety of statistical techniques are employed in the testing process, including the partial and simultaneous hypothesis testing (f and t tests), multiple linear regression, Pearson product moment correlation coefficient, determination coefficient, and classical assumption test. For this investigation, the sample was calculated using a combination of nonprobability and purposeful sampling methods. The consumption subsector's 48 manufacturing enterprises' financial reports provide the sample data. The data processing software utilized is SPSS version 26.0. Partially and concurrently, the study's findings indicate that profit growth is unaffected by return on equity, return on assets, gross profit margin, and net profit margin

Pengaruh Perputaran Arus Kas, Current Ratio, Debt to Asset Ratio dan Debt to Equity Ratio Terhadap Return on Asset pada Perusahaan Manufaktur Sub Sektor Makanan dan Minuman yang terdaftar di Bursa Efek Indonesia Tahun 2015-2022

The purpose of this study is to ascertain how return on assets in food and beverage manufacturing companies listed on the Indonesia Stock Exchange is impacted by cash flow turnover, current ratios, debt to equity ratios, and debt to asset ratios for the years 2015–2022. This study employs a quantitative methodology that combines a verification and descriptive strategy. While verification statistical analysis uses traditional assumption tests, multiple linear regression tests, Pearson product moment correlation coefficient tests, determination coefficient tests, and hypothesis testing with partial and simultaneous tests (t and f tests), descriptive statistical data analysis techniques are used to find mean, maximum, minimum, and standard deviation data. 56 financial reports from businesses in the Food and Beverage Manufacturing Companies provide the sample data. sampling utilizing nonprobability sampling methods combined with purposive sampling. IBM SPSS version 26.0 was the analysis tool used in this investigation. The study's findings indicate that return on assets is not affected partially or simultaneously by cash flow turnover, current ratio, debt to equity, or debt to asset ratio