Data Analysis Techniques Research Articles

The effect of murottal Al-Quran therapy on pain intensity and oxygen saturation in active phase parting women

Anxiety in women increases with the start of labor and has a negative impact on mothers and newborns. The aim of this study was to determine the effect of listening to murottal Al-Quran on increasing oxygen saturation and reducing pain in mothers in the active phase of labor. This research was quantitative research with a quasi-experimental design and a preexperimental design one-group pretest-posttest. This study was conducted at the Kendari City Hospital. The sample was determined as a total population, considering that the number of mothers during the first active phase was only 30. The data analysis technique in this study went through two calculation stages: the data normality test by Kolmogorov-Smirnov, Paired Sample Statistics, and all calculations using SPSS. The results of the statistical tests using the Wilcoxon test yielded a p-value of 0.000. Statistically, it can be concluded that there are differences in oxygen saturation values before and after the administration of murottal intervention. It was also found that 27 respondents experienced an increase in oxygen saturation after receiving murottal intervention. In conclusion, murottal intervention increased oxygen saturation.

Utilization of the use of technological devices in delivering communication information in the learning process

The development of increasingly sophisticated technology today brings education to participate in using the features available in today’s media such as the transition from face-to-face learning communication in schools to face-to-face assisted by technology such as laptops, tablets, cellphones and other multimedia. Technology currently provides innovation in the learning process both from home and from school. However, there are still many teachers and students who have not utilized technology such as laptops, tablets, cellphones and other multimedia in the learning process. The purpose of the study was to analyze the benefits and relationships of the four main variables of communication assessment elements with digital devices. The research method used was quantitative with a sample of 148 teachers randomly selected from schools that use technology in the learning process. Data collection techniques with instruments. The instruments used were four indicator instruments, namely technology from laptops, tablets, cellphones and other multimedia. Data analysis techniques with descriptive statistics using SPSS version 26.0 calculated the mean, standard deviation, and correlation test. The results of the study found that the four indicators had high reliability and the four indicators had significant utilization, were mutually positive and had a high relationship with each other. The conclusion is that the four technological devices are good for use in digital communication during the learning process and laptops and tablets are more recommended in this study.

Solar cell based power-bank prototype as a media to increase students' scientific literacy

This research aims to i) implement the solar cell based power-bank prototype for learning media; ii) describe the feasibility of the solar cell-based power-bank prototype for learning; and iii) describe students' scientific literacy. This research method uses the analysis, design, development, implementation, and evaluation (ADDIE) research and development model. The subjects of this research are class IX students and science teachers at SMPN 4 Central Bengkulu. Data collection techniques include questionnaires, tests, and interviews. The data analysis technique uses N-gain analysis, percentages, and the Aiken's V formula. The research results show that the media developed is valid with an Aiken index value of 0.98 > the minimum standard Aiken' V of 0.92 and can increase students' scientific literacy based on an N-gain of 0.92. 0.71, this can be seen in the dimensions of context and content based on N-gain of 0.73 and 0.69, while the dimensions of attitude, curiosity, respect, and willingness, reflect the respective percentages of 79.62%, 78.86%, 78.89%, 75.60%. Based on the results of the hypothesis test, the sig value is obtained. (2 tailed) 0.000 < 0.05 which means Ha is accepted and Ho is rejected, which means the solar cell-based renewable energy media used in science learning influences the increase in students' scientific literacy.

Using a knowledge representation logic to estimate the availability of Imbrasia epimethea (Lepidoptera: Saturniidae), an important edible insect in Subsaharan Africa

Based on monthly abundance patterns, we model the density of Imbrasia epimethea (Drury, 1773), an important edible insect in Africa. Categorical data was collected from various regions in Cameroon, and data analysis techniques were used to infer relationships between environmental variables and the level of insect abundance. Through fuzzy logic modeling, we identified the key environmental factors and rules that influence the density of the insect. To visualize the distribution of I. epimethea across African landscapes, interpolation techniques were used on the study area matrix of geographical coordinates based on the corresponding monthly predictor variables for the most recent available year (2022). The results suggested a clear dynamic across Africa through the different months of the year with potentially overlapping generations with relatively high accuracy (>90 %). A clear relationship between regional climatic conditions and the density of I. epimethea could be established across Africa. The models provide insights into the complex dynamics of insect populations and sheds light on the stability and transferability of our results across different African regions (during stability analysis). This research offers a foundation for further investigations on sustainable food production and the promotion of edible insects as a viable protein source.

Personalized learning model based on machine learning algorithms

<p>Machine learning algorithms have been widely applied in the field of personalized learning within educational information technology. By leveraging big data analysis and data mining techniques, machine learning can help identify patterns and trends in students' learning behaviors, preferences, and performance. This information can then be used to tailor educational resources and experiences to meet the individual needs and unique characteristics of each learner. Machine learning has made great progress and achievements in the teaching process of universities, but there are also some shortcomings. Such as data dependence, over-fitting and under-fitting, explanatory problems, need a lot of computing resources, data bias, sensitive to outliers, cannot solve all problems, and the challenge of data privacy, through the analysis of machine learning algorithm model, efforts to find ways to expand the dimension of personalized learning classroom, meet the students in learning objectives, learning content, learning methods of the special characteristics and unique needs, to guide students to actively explore and research, obtain innovation and appropriate learning results.</p>

RELATIONSHIP BETWEEN ATTITUDE TOWARD STEM AND COMPUTATIONAL THINKING ABILITY IN MATHEMATICS LEARNING OF ELEMENTARY SCHOOL STUDENTS

Computational Thinking (CT) plays an important role in Science, Technology, Engineering, Mathematics (STEM) fields. However, whether Attitude toward STEM is related to CT skills is still unknown. The purpose of the study was to determine whether there is a relationship between Attitude Toward STEM and Computational Thinking skills in mathematics learning of elementary school students. This research is a correlational quantitative research that measures the relationship between two variables. The research was conducted at SDN Gandaria Utara 03 in class IVA and IVB. Simple random sampling technique was used to determine the research sample. The instruments in this study used a questionnaire to measure Attitude Toward STEM and a test instrument to measure Computational Thinking ability. The instruments in this study were measured for validity and reliability before use. Data analysis techniques using linear regression statistical tests. The results showed that Attitude toward STEM is related to Computational Thinking ability. From the results of data analysis, the regression model equation is Y = 19.635 + 0.387x. The coefficient of determination or R2 of 0.805 means that the Attitude Toward STEM variable simultaneously has an influence of 80.5% on the Computational Thinking ability variable

Pengaruh financial technology dan literasi keuangan digital terhadap pengembangan UMKM di Fakultas Ekonomi dan Bisnis Universitas Sam Ratulangi Manado

This study aims to examine the influence of financial technology and digital financial literacy on the development of MSMEs at Sam Ratulangi University. This type of research is quantitative research using a descriptive approach. The sampling technique used was the random sampling method and produced 35 MSMEs as research samples from 50 MSMEs. By using data collection techniques using questionnaires. The data analysis technique in this study is multiple linear regression using the JAMOVI v2.23.28 program. The results of the study partially show that financial technology has a significant and negative effect on the development of MSMEs, digital financial literacy has a significant and positive effect and financial technology and digital financial literacy together have a significant and positive effect on the development of MSMEs at Sam Ratulangi University.

Peran Lembaga Adat Tigo Luhah Semurup dalam Penyelesaian Sengketa Tanah Warisan di Semurup

This research aims to describe the role of the Tigo Luhah Semurup Traditional Institution in resolving inherited land disputes in Semurup, as well as revealing the supporting and inhibiting factors of the Tigo Luhah Semurup Traditional Institution in resolving inherited land disputes in Semurup. The type of research used is qualitative research with descriptive methods. Determining research informants was carried out using a purposive sampling technique, namely informants were determined by researchers to obtain the required information, namely informants who were considered to know, understand and have experience related to this research. Data collection techniques and tools are carried out by means of observation, interviews and documentation. The tools used were observation sheets, interview guides, and cameras. Testing the validity of the data uses source triangulation. Data analysis techniques are data collection, data reduction, data display and drawing conclusions.The results of the research show that the role of the Tigo Luhah Semurup traditional institution in resolving land disputes, it has been very good, this can be seen from the fact that almost all disputes resolved in traditional institutions have been successful, as for the role of the Tigo Luhah Semurup traditional institution as a mediator, facilitator and decision maker. Then there are several factors that hinder the Tigo Luhah Semurup traditional institution in carrying out its role, including; 1) Difficulty in calling/inviting disputing parties to deliberation, 2) Limited budget so that the customary justice process does not run optimally, 3) low commitment from members of traditional institutions in resolving disputes.. However, there are several supporting factors for the Tigo Luhah Semurup traditional institution in carrying out its role, including; 1) the presence of experts and intellectuals in the dispute resolution process, 2) good communication head of traditional institutions, 3) the existence of social legitimacy for the Tigo Luhah Semurup traditional institution.

The Role of the School’s Committee in Implementing P5 in the Era of Independent Learning

The purpose of this study was to determine the role of the school committee and its contribution in improving the quality of education in the era of independent learning. This study was conducted at SMP Negeri West Jakarta Region 1. Interviews, observations, documentation, and literature reviews were the data collection tools used. This study is qualitative research with a descriptive analysis method. The data collection process was carried out through in-depth interviews and questioner. The technique of data analysis was classifying data based on the category, counting the frequency and percentage. This study found that the school committee, as part of the school element, is responsible for the smooth implementation of school programs in the current era of independent learning, the implementation of the Pancasila Student Profile Strengthening Project (P5), building relationships with the school community, improving facilities and infrastructure, and encouraging improvements in the quality of school resources. Here, the result of the percentage of each the categories they are: an advisory agency (consideration) as much as 25%, a support agency (supporter) as much as 25%. a controlling agency (controller) as much as 23% and a mediator as much as 27%.

Improving the Learning Outcomes of Class VIII Students Through the Implementation of the Project-Based Learning (PjBL) Model in Science Learning

This research aims to improve the learning outcomes of junior high school students in science learning.This research is a type of classroom action research carried out in one of the public junior high schools in the Madiun district. The study population was class VIII with class VIII E samples. The data analysis technique used was to compare learning outcomes in the pre-cycle to the next cycle. The results of the analysis showed that the project-based learning (PjBL) learning model was able to improve the cognitive learning outcomes of junior high school students. The success indicator of the study was seen in the improvement in cognitive learning outcomes of students who achieved a minimum completeness criteria (MCC) score of 75. While the tang performance indicator used in this study is the success rate of cognitive learning outcomes up to 75%, in the pre-cycle, as many as 71.43% of the total students have not reached the specified minimum completeness criteria (MCC). While the remaining 38.10% have reached minimum completeness criteria (MCC). The implementation of the project-based learning (PjBL) learning model shows an increase in student success in learning. In cycle I, the percentage of student success reached 61.9%. In the second cycle, the percentage of student success reached 76.1%, so there was an increase of 33.4%.

Javanese and Batak Tribes: The Role of Moderation in Parenting Style on Self-Control in Adolscents

This research aims to determine the influence of parenting styles on self-control which is moderated by ethnicity in adolescents. The research design used is a correlational quantitative design. Sampling technique using method convenience sampling. The research used 2 scales, namely the Parental Style Inventory II (PSI-II) to measure parenting style and the Brief Self Control Scale to measure self-control. The data analysis technique in this research is using moderated regression analysis and simple regression tests. The research results show that ethnicity does not moderate the influence of parenting style on self-control (P Int_1 = 0.5323 > 0.05). Besides that, independent testing obtained significant results (parenting style influence self-control). However, when there is a covariate (another variable present), namely ethnicity and controlled simultaneously, it becomes insignificant (in the test using Hayes).

FACTORS INFLUENCING THE PURCHASE INTENTION OF MICRO TRANSACTIONS IN FREEMIUM MOBILE GAMES IN BANGKOK: A CASE OF HONKAI STAR RAIL

Purpose: The purpose of this research is to determine the significant influence of Performance Expectancy, Effort Expectancy, Social Influence, Hedonic Motivation, Price Value, and Game Satisfaction towards purchase intention of microtransactions in freemium mobile games in Bangkok in the case of Honkai: Star Rail. Understanding these influencing factors can help game developers and stakeholders gain valuable insights into player behavior and develop monetization strategies to maximize positive player experiences and revenue. Design/methodology/approach: This research uses primary and secondary data collection methods in addition to descriptive and inferential data analysis techniques to analyze the factors influencing the purchase intention of microtransactions in freemium mobile games. The data was collected from 396 respondents who live in Bangkok, have played Honkai: Star Rail on a smartphone, and have the intention to purchase microtransactions in Honkai: Star Rail. This research referenced twelve theoretical frameworks from previous studies to construct a conceptual framework. Findings: This research shows that Performance Expectancy, Hedonic Motivation, and Game Satisfaction have a significant influence on the purchase intention of microtransactions in freemium mobile games in Bangkok in the case of Honkai: Star Rail. Research limitations/implications: Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further. Practical implications: This research offers valuable insights for game developers and stakeholders to enhance monetization strategies for freemium games like Honkai: Star Rail. Social implications: This research highlights the growing influence of mobile gaming on consumer behavior. This has broader implications for discussions around digital consumption, addictive behaviors, and the ethics of in-game purchases, prompting stakeholders to consider responsible game design and marketing practices that prioritize player well-being while maximizing revenue. Originality/value: This paper fulfils an identified need to study the factors influencing microtransaction purchase intentions within the Bangkok market.

Positioning Sensor Data Mining and Correlation Analysis Based on Multi-mode Radio Frequency Identification

Real-time positioning and sensor data mining are critical for various Internet of things (IoT) applications, but current approaches face challenges such as limited accuracy, high cost, and energy inefficiency. This paper proposes a novel fusion intelligent structure that combines radio frequency identification (RFID) technology and wireless sensor networks (WSN) to enable accurate and efficient positioning and data mining. The proposed method consists of two key components: an energy heterogeneity strategy for optimizing network energy consumption, and a data association feature analysis technique for mining sensor data. The results demonstrated that the proposed approach achieved superior positioning accuracy compared to other algorithms, with an average error of less than 0.300 under various conditions. The data detection accuracy was also high, with a maximum false detection rate of 3%. Furthermore, the proposed energy heterogeneity strategy significantly improved network energy utilization and stability. Real-world scenario testing validated the practicality of the proposed approach, with an average positioning error of less than 0.500 meters. These results validate the effectiveness of the proposed RFID-WSN fusion structure for real-time positioning and sensor data mining, providing a promising solution for IoT applications.

Digital Leadership in Realizing Bureaucratic Reform in the South Sulawesi Provincial Government

Bureaucratic reform efforts over the years have yet to yield optimal results, leaving government bureaucracy associated with pathologies such as corruption, collusion, nepotism (KKN), slow service performance, and an inability to meet public satisfaction. Digital leadership among heads of local government agencies is expected to contribute significantly to achieving bureaucratic reform. This study aims to analyze the role of digital leadership in facilitating bureaucratic reform in South Sulawesi Province and to formulate a digital leadership model for effective bureaucratic reform. The research employs digital leadership theory as outlined by Klein (2020), which encompasses business characteristics, attitudinal characteristics, and general characteristics, serving as the analytical framework to assess the state of digital leadership among local government leaders in South Sulawesi. The study adopts a qualitative descriptive method, with primary data collected through observations and interviews with key informants. Data analysis techniques include data reduction, data display, and drawing conclusions. The findings conclude that: 1) Not all local government leaders possess effective digital leadership skills, which results in suboptimal contributions to bureaucratic reform. This is evident through the evaluation of business characteristics, attitudinal characteristics, and general characteristics that have yet to support reform in institutional structuring, administrative processes, human resource management, and service delivery. 2) The researcher formulated the “S4P Digital Leadership Model,” developed from Klein’s (2020) digital leadership model, which is believed to contribute to more effective bureaucratic reform. The novelty of this model lies in the incorporation of local wisdom dimensions—Sipakatau, Sipakalebbi, Sipakinge, and Sirri na Pacce—as well as digital leadership prerequisites such as digital literacy, innovation, and collaboration. This comprehensive, contextually relevant, and responsive model can be implemented across different regions in Indonesia, utilizing local cultural values as guiding principles for governance and public service delivery.

Research perspectives of supply chain knowledge management: A bibliometrics study

The purpose of this article is to present a bibliometric analysis of scientific publications on knowledge management (KM) and supply chain (SC), provide an overview of research activities in this field and recognise its most substantial and fundamental aspects. In addition, this study aims to quantitatively analyse KM in SC in other words supply chain knowledge management (SCKM) research trends, forecasts and citations from 1999 to 2021 in Web of Science (WOS). A total of 499 documents related to SCKM research were collected from the following databases: SCI-EXPAND, SSCI, AHCI and ESCI. These documents were carefully reviewed and subjected to bibliometric data analysis techniques. We map the time trend, disciplinary distribution, high-frequency keywords and topics, major authors and influential publications to show emerging topics. Based on the findings of other researchers, many implications emerged that improve one’s understanding of the identity of SCKM as a distinct multi-discipline scientific field, and its publication has grown significantly since 2018. SC papers were published in engineering and Operations Research and Management Science journals, while the coverage of research topics related to KM and SCKM is broader and more interdisciplinary than those of SC papers. High-frequency keywords associated with SCKM research are listed. From the citation of 499 papers with both KM and SC as keywords, we find the most popular one.

THE EFFECT OF CAPITAL STRUCTURE ON STOCK PRICES MEDIATED BY PROFITABILITY

This study aims to determine the effect of profitability and capital structure on stock prices, the effect of profitability on capital structure and the effect of capital structure on stock prices by mediating profitability. The approach in this study is quantitative research using secondary data in the form of financial reports published on the Indonesia Stock Exchange with data analysis techniques using SPSS. The research method used is purposive sampling with a sample of 28 Property & Real Estate Sector Companies Listed on the Indonesia Stock Exchange in 2019-2021. The results of this study indicate that (1) profitability does not affect stock prices, (2) Profitability does not affect capital structure, (3) Capital structure does not affect stock prices, (4) Profitability is unable to mediate the relationship between Capital structure and stock prices.

Cultural Factors Influencing the Incidence of Chronic Energy Deficiency (CED) in Pregnant Women in the Langke Majok Health Center Work Area

ntroduction: Nutrition of pregnant women is one of the focuses of attention in improving community nutrition because it has a significant impact on the condition of the fetus. Mothers with risk KEK can have a negative impact on him itself such as anemia, bleeding, the mother's weight is not increase in a way normal and caught disease infection. KEK on Mother pregnant can cause miscarriage, baby born dead, dead in content and disabled carry-on. Case KEK Which happen in Manggarai Regency is caused by many factors, one of which is is the eating culture of pregnant women influenced by culture area local. The research results show that pregnant women's eating practices are carried out because of beliefs and habits in the family. Biological parents encourage mothers to abstain from eating because of the habits and beliefs in the family. Food taboo habits in the family are divided into two, namely food taboos that are carried out because of the habits of the biological family and habits that follow the husband's family after marriage. The husband's parents were also found to be a driving force for the mother to abstain from eating. Community health centers need to provide education regarding dietary restrictions not only to pregnant women but also to families and the community so that the nutritional needs of pregnant women are met. Objective: Study This aiming for describe factor culture that influences the occurrence of KEK in pregnant women in the work area of Langke Majok Health Center, including the eating practices of pregnant women, the role of parents and the eating culture of pregnant women. Method: This type of research is qualitative with an ethnographic research design. The informants consist of informants The key is eight pregnant women with KEK and eight supporting informants, with the instrument used being an interview guideline conducted by means of in-depth interviews, observation and documentation. The data analysis technique used is based on the approach taken by Miles and Huberman by means of data reduction, data presentation and drawing conclusions. Results: Research results shows that mothers' eating practices pregnant done because of beliefs and customs which exists in the family which requires the mother to follow the habit. This is supported by the role of biological parents who require the mother to do food taboos because of the habits and beliefs in the family. In addition to following the habits of biological parents. Food taboos carried out by pregnant women because of the role husband's parents as giver information, because after Marry a wife must follow customs and beliefs who is in the family husband. Culture abstinence Eat Which There is in area local directly not require Mother pregnant for do food taboos, but the belief in the tradition of food taboos that exist in the biological family that is carried out by the mother during her life. In addition, in the tradition of Manggarai culture, when married, the wife follows the customs of the husband's family as a form of respect for her husband, marked by the wife living with her husband's parents. Conclusion: Eating practices are carried out because of beliefs and customs in the family. The role of parents in eating taboos as a provider of information on eating taboos to pregnant women, the culture of fasting at night in the local area does not require pregnant women to carry out eating taboos except to follow the beliefs and traditions that exist in the family.

FACTORS AFFECTING CLOUD ACCOUNTING ADOPTION IN SMES USING THE TOE FRAMEWORK

This study aims to explore the factors that can influence the adoption of cloud accounting in MSMEs. Software such as cloud accounting has a very important role in business activities in the field of accounting because it can help businesses stay financially organized. This will help MSMEs make better business decisions based on accurate and real-time financial data. The population used in this study were MSMEs located in Soloraya. The research method used in this research is quantitative with data collection methods using gform and paper questionnaires. The data analysis technique used in this research is SEM (Central Equation Model) analysis with the help of the SmartPLS 3.0 program. The results of this study indicate that factors such as relative advantage, top management support, adequate resources, business partner pressure, provider support (except security concerns) positively and significantly affect cloud accounting adoption in MSMEs in Soloraya. Therefore, this research is expected to help recommend and encourage MSME decision makers in Soloraya to be able to adopt cloud accounting in their business.

The Development of ChemicoMine, Maritime Chemistry Comic Webtoon as an Edutainment Media Accordance to the IMO Regulations

Based on the IMO Model Course 7.04 curriculum, chemistry is an introductory course that a candidate for sailor must master. However, most abstract chemistry concepts require technology-based learning media and edutainment. Webtoon is a digital comic that presents the concept of chemistry through real-life visualization strategies to attract student interest. This research aimed to create ChemicoMine, a maritime chemistry comic webtoon whose material content follows IMO regulations. The research method is R&D with the ADDIE model, which is limited to the Development stage. The instruments used in this research were analyst instruments of necessity, the validation tools of storyboard, the instrument validated by an expert in media and material, and the instrument for students. The data analysis techniques used the Likert scale 5. Validation results from an expert in material and media stated that the product received a percentage rating of 87.66% and 95.28% with the category (very good). Student response results obtained percentage of rating of 88.94% with the category (very good). Based on the results, ChemicoMine received a positive student response and can be used as an alternative edutainment media.

Is the country’s preparedness for epidemics and pandemics an FDI location factor? An empirical analysis using panel data

Purpose This study aims to validate the hypothesis that a country’s preparedness for epidemics and pandemics, as measured by the GHS Index, significantly influences inward FDI inflows. By examining panel data from 2019 to 2021, the research seeks to elucidate the impact of heightened epidemic and pandemic preparedness on investment behavior, thereby highlighting the importance of health resilience and preparedness in attracting foreign investment and fostering economic growth and development. Design/methodology/approach The study uses panel data spanning 181 countries from 2019 to 2021 and uses logarithmic regression models to analyze the impact of a country’s preparedness for epidemics and pandemics, as measured by the Global Health Security (GHS) Index, on inward Foreign Direct Investment (FDI) inflows. Auxiliary variables including GDP, labor supply, openness rate, inflation rate and political stability are incorporated. Robust weighted least squares estimation techniques are used to account for potential heterogeneity and panel data characteristics. Findings The study reveals a consistent and statistically significant positive relationship between a country’s GHS score and inward FDI, indicating that destinations with robust health systems are more attractive to investors. Higher GHS scores correlate with reduced investment risk, improved business continuity during health crises and enhanced health-care infrastructure, leading to a healthier and more productive workforce. Research limitations/implications While the study provides valuable insights into the relationship between epidemic and pandemic preparedness and inward FDI inflows, several limitations exist. The analysis relies on cross-sectional data from a relatively short timeframe (2019–2021), limiting the ability to capture long-term effects. Additionally, the study focuses on the GHS Index as a measure of preparedness, overlooking other potential determinants of FDI attractiveness. Future research could explore a broader range of health security indicators and incorporate longer-term data to provide a more comprehensive understanding of the relationship. Originality/value This study contributes to the literature by examining the previously underexplored relationship between a country’s epidemic and pandemic preparedness, as measured by the GHS Index and inward FDI inflows. By using panel data analysis and robust econometric techniques, the research provides empirical evidence supporting the positive impact of robust health systems on FDI attractiveness. The findings underscore the importance of prioritizing public health initiatives and epidemic preparedness as integral components of attracting and retaining foreign investment, thereby fostering economic resilience and sustainable development in host countries.