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The rapid development of information and communication technology has encouraged companies to switch to digital platforms in managing their sales. One of the most widely used solutions is a web-based sales application, which allows buying and selling transactions to be carried out online, improving operational efficiency, and expanding market reach. In this study, a web-based sales application was designed using a prototype methodology. This methodology was chosen because of its ability to actively involve users in the development process, through an iterative cycle that allows for direct feedback from users to improve and improve the system gradually. The first step in this design is to collect needs from users or stakeholders through interviews and observations. Based on these needs, an initial prototype of the application was built that included key features such as product management, shopping cart, and payment processing. The prototype is then evaluated by the user, and the feedback is used to refine and refine the prototype until the final application is ready for further development. The resulting app has a full range of features that include product management, a secure checkout system, payment method integration, and real-time sales reporting. The prototype methodology allows developers to detect and resolve potential issues from the early stages of development, thereby minimizing the risk of errors in complex feature implementations. Additionally, the active participation of users in the development process ensures that the resulting application is more in line with the needs and expectations of users. The results of this study show that a prototype-based approach can improve the effectiveness and quality of web-based sales applications, as well as maximize user satisfaction. This application is expected to help companies manage sales transactions more efficiently and expand business reach through digital platforms.  

This study aims to analyze the effect of Foreign Direct Investment (FDI), DomesticDirect Investment (DDI) and Government Expenditure on economic growth in Aceh Province. In this analysis using multiple linear regression analysis models using eviews 10 software. The data used is secondary data (time series) taken from 2009-2023 for 15 years sourced from BPS (Central Bureau of Statistics) Aceh Province. The results of this study indicate that Foreign Direct Investment (FDI) has a probability value of 0.0595> 0.05, it can be concluded that FDI has no significant effect on economic growth in Aceh Province. Domestic Investment (PMDN) has a probability value of 0.9494> 0.05, it can be concluded that PMDN has no significant effect on economic growth in Aceh Province. Government spending has a probability value of 0.6689> 0.05, it can be concluded that government spending has no effect on economic growth in Aceh Province.

Social media has become an integral part of the modern era, characterized by the use of the internet in daily life, with one of the most popular platforms being Instagram. Currently, the rise of Instagram content about beauty, known as beauty vlogs, has captured the attention of women, encouraging them to enhance their appearance. Abel Cantika is one of the beauty vloggers in Indonesia who consistently shares posts in the form of make-up tutorials, beauty product reviews, tips and tricks, and so on. The content presented by beauty vloggers, including Abel Cantika, certainly has an influence on changing behaviors and perspectives, as women often want to look stunning at all times. Therefore, it is not surprising that cosmetics can be seen as an essential means to enhance one's appearance. This research aims to determine whether the content of beauty vlogger Abel Cantika on Instagram has an influence on the imitation behavior of Inter Studi female students and to what extent this influence exists. The method used in this research is a survey method with a descriptive quantitative approach. Using simple linear regression analysis techniques. The population in this study consists of female students of Communication Science at STIKOM Inter Studi from the class of 2020 to 2022, with a sample size of 50 respondents. Data analysis techniques using SPSS 26.0. The research results indicate a positive and significant influence of media exposure on brand image, with a moderate effect size.

Competitiveness is the economic ability of a country to innovate, increase productivity, and maintain its position in the global market. Competitiveness is one of the most important activities for the development of the Indonesian economy, high competitiveness helps countries to adapt to global changes, improve the welfare of their people, and achieve sustainable economic growth. International trade is a trading activity carried out by the people of a country with the people of another country on the basis of mutual agreement. Trading activities are activities related to transactions of goods and services domestically and between countries with the aim of gaining profit. With the advancement and development of technology, in the future, international economic and trade activities will also increase. This international trade occurs because a country is unable to meet its needs, this encourages a country to trade. International trade consists of export and import activities. Export is the activity of removing goods from the Indonesian customs area and services from the territory of the Republic of Indonesia. The customs area is the territory of the Republic of Indonesia which includes land, waters, airspace above it, and certain places in the exclusive economic zone and continental shelf. Cocoa is one of Indonesia's leading export commodities. Cocoa commodities consistently act as a source of foreign exchange that contributes to the structure of the Indonesian economy. This study aims to analyze competitiveness, the influence of production, and international prices on the competitiveness of Indonesian cocoa exports. The data used in the study are secondary time series data from 1990 to 2023. The analysis used in this study is Relevant Comparative Advantage (RCA) and multiple linear regression. Based on the results of the Relevant Comparative Advantage (RCA) analysis, the RCA value is greater than 1, indicating that Indonesian cocoa exports have strong competitiveness. Based on the results of multiple linear analysis, it shows that production does not have a significant effect on the competitiveness of cocoa exports, international prices have a positive and significant effect on the competitiveness of cocoa.

Quantitative methods were used in this study to determine how lifestyle impacts personal financial management. Lifestyle includes the decisions a person makes about how they live their daily lives, especially about how they spend their time and money. The process of effectively managing a person or family's income, expenses, and assets to achieve short-term and long-term financial goals is known as personal financial management. Planning, budgeting, investing, investing, and debt management are all part of this. This questionnaire was circulated and completed by 66 people. Validity, reliability, and classical assumption tests have been used to collect data. Simple linear regression analysis was also used in this research methodology. The results of this study show that lifestyle has a positive impact on personal financial management.

This research aims to find out whether HDI and economic growth have an effect on poverty in Pidie Regency, Aceh Province in the 2010-2023 period. The approach in this research is quantitative using multiple linear regression analysis methods. The Aceh Central Bureau of Statistics (BPS) data source uses Time Series data. . The results of this research show that HDI partially has a negative and significant effect on poverty in Pidie Regency, and Economic Growth has a positive and insignificant effect on partial poverty in Pidie Regency. And simultaneously HDI and Economic Growth have a positive and significant effect on poverty in Pidie Regency.    

Economic growth is one of the most important indicators in analyzing economic development that occurs in a region or country. Economic growth shows the extent to which economic activity will generate additional income for the community in a certain period. This research aims to look at the influence of regional taxes, direct spending and indirect spending on economic growth in Aceh Province in 2014 - 2023. The data used in this research is secondary data in the form of a time series taken from the last 10 years sourced from the Central Agency. Aceh Province Statistics (BPS) using a quantitative approach. The method used is multiple linear regression analysis. Based on the research results, it can be concluded that Regional Taxes, Direct Expenditures and Indirect Expenditures do not have a significant influence on Economic Growth in Aceh Province in the 2014-2023 period, either individually (separately) or simultaneously (together).    

This study aims to see the effect between energy subsidies and electricity consumption on economic growth in Indonesia. This study uses secondary time series data for the period 2014-2023 with a quantitative approach using the Eviews 12 software analysis tool. The variables in this study are energy subsidies, electricity consumption and economic growth which are analyzed by multiple linear regression methods. The results showed that energy subsidies have a positive and insignificant effect on economic growth, electricity consumption has a positive and significant effect on economic growth in Indonesia. While energy subsidies and electricity consumption simultaneously have no significant effect on economic growth in Indonesia in the 2014-2023 period.

This article discusses the importance of developing a Christian Religious Education (PAK) model based on Christian theology and implemented through the active role of the church in carrying out the Great Commission. True Christian education does not only convey doctrinal information, but also forms the character, spirituality, and calling of the people based on the word of God. The church is positioned as a learning community and the main implementer of the contextual, transformative, and biblical theology-rooted faith education process. Through a qualitative-descriptive approach and literature study, this paper emphasizes that theological foundations, such as God as the source of education, the Bible as the basis of teaching, Christ as the focus, and the church as the implementer, are inseparable elements of PAK. Christian Religious Education based on theology provides clear direction in designing content, methods, and learning objectives that are in line with God's will. Thus, this education model is expected to be able to answer the challenges of the times, strengthen the faith of the congregation, and produce strong and relevant followers of Christ in society.  

The rapid advancement of modern computing has driven extensive research on numerical algorithms for solving large-scale systems of linear equations. Classical methods such as LU decomposition, Jacobi, and Gauss–Seidel have been revisited and optimized to leverage parallel architectures, GPUs, and even quantum platforms. Recent studies demonstrate that optimized algorithms can reduce computation time by more than 50% while maintaining high accuracy in solving high-dimensional problems. LU decomposition, particularly in its parallel and GPU-based implementations, has shown superior performance in batch processing and industrial-scale simulations. Meanwhile, iterative methods such as Jacobi and Gauss–Seidel remain relevant due to their flexibility in numerical modeling, with further developments for block matrix systems, finite element applications, and FPGA architectures. The integration of these enhanced algorithms is not only beneficial for the advancement of scientific software development but also supports practical applications in engineering simulations, large-scale data optimization, and machine learning. Therefore, an integrative review of modern numerical algorithm developments is crucial in bridging the gap between industrial demands and research progress in scientific computing.

Social media as one of the technological developments has brought changes to people's lives to become an information society. Social media is also used by the government, one of which is the Embassy of the Republic of Indonesia in Bangkok, which is used to share information related to foreign government policies that the public needs. To create informative dissemination, interactive communication is needed between followers and information providers. However, analysis of activity on social media accounts shows patterns that are not yet effective, so this research was carried out which aims to determine the effect of using the social media Instagram @indonesiainbangkok on meeting followers' information needs. The theory in this research is the theory of social media use by Lometti, Reeves, and Bybee which consists of the amount of time, media content, and media relationship with individuals. This research uses quantitative research methods with data collection techniques using  questionnaires distributed online. The population in this study was 11,600, then a sample of 100 people was obtained. Sampling in this study used a simple random sampling method or random without certain criteria. The data analysis method in this research uses simple linear regression analysis and  coefficient of determination. The research results  show that the use of social media Instagram @indonesiainbangkok has quite a large influence on fulfilling followers' information needs, namely 95.3% which means that the majority of followers of the @indonesiainbangkok Instagram account fulfill their information needs. Through this research, it is hoped that both followers and managers of Instagram @indonesiainbangkok can create more interactive and two-way communication for mutual comfort.

The current research aims to measure the impact of applying digital transformation represented by (technologies, digitization of operations, databases, human cadres) on the effectiveness of accounting information represented by (appropriateness of accounting information, and reliability of accounting information), among a sample of employees in private banks in Baghdad Governorate, with a strength of (183) employees. In order to achieve the research objective, the questionnaire was adopted to collect data related to the research variables, and the descriptive analytical approach was adopted in the research and then analyzed by adopting some statistical methods such as (arithmetic mean, standard deviation, linear correlation coefficient, simple and multiple regression coefficient), and the results were reached using statistical programs such as (SPSS.V.29) and (Amos.V.26) to analyze the data to reach the conclusions, the most prominent of which was that digital transformation contributes to completing routine operations, reducing the time required to complete tasks, increasing accuracy in operations, and reducing human errors through the use of digital systems.

This study aims to determine the effect of the Dollar Exchange Rate, Inflation and Production on Tuna Fish Production in North Sumatra. The research method used in this research is associative method. This method aims to determine the relationship between two or more variables and the type of data used is quantitative. The data used is secondary data or time series from 2014 to 2023 sourced from the Statistics center and Bank Indonesia. The analysis method in this research is multiple linear regression method. The results of multiple linear regression show the results of this study that the dollar exchange rate has a negative and significant effect on tuna exports in North Sumatra. Inflation has a positive and significant effect on tuna exports in North Sumatra. Production has a negative and significant effect on tuna exports in North Sumatra. Based on the results of the F test the dollar exchange rate, inflation and production simultaneously have a significant effect on the export variable. The coefficient of determination test results show that there is a very close relationship between the dollar exchange rate, inflation and production on tuna fish exports in North Sumatra with a value (R-Square) of 0.905 or 90.5%. This result means that the magnitude of the influence of the dollar exchange rate, inflation and production on tuna fish exports in North Sumatra is 90.5% while the remaining 9.5% is influenced by factors not examined in this study.

Objective: To assess the differences in buccal cytology changes caused by hormone therapy in Sudanese women with breast and endometrial malignancies by comparing wet fixed and air dry H&E stained buccal smear samples.  Method: The eight-month study period ran from October 2015 to May 2016. The practical inquiry began in November 2015, and during that time, data gathering, a literature review, and research script typing were completed. One hundred participants had buccal smear samples taken, and these were ready for H&E staining using a wet and dry procedure on women receiving hormone medication. Results: The wet method produced buccal smears with pathology that was 56% malignant, 34% inflammatory, and 10% normal; the dry method produced identical results. The wet method produced excellent (40%), very well (28%), well (20%), acceptable (8%) and bad (4%) affinity, which was in line with the results of the dry method. There were no appreciable variations in the pathology and affinity of the wet and dry-prepared buccal smears (P = 0.14 and 0.0011 > 0.05). The cancerous The pathology of wet and dry buccal smears was reported in 7.7%, 47.1%, and 95% of the smears obtained from patients who had been on hormonal therapy for less than three years, three to nine years, and more than nine years, respectively. Wet and dry smears were reported in 20%, 21.1%, and 88.5% of the smears obtained from patients who had been on hormonal therapy once, twice, or three times a day, respectively. Conclusion: The pathology of the buccal smears showed significant differences based on the frequency and duration of hormone therapy.

This research is motivated by the low level of organisational culture on the performance of employees in KSU GAPOKTAN ALBASIKO II West Pasaman, a picture that organisational culture affects the performance of employees. In this study the researcher connects the problem of lack of awareness and stability of organisational cultural values and still not entirely run by employees, time discipline, innovation, attention to detail, results orientation, team orientation, stability, consistency, honesty, and safety. This study explains whether organisational culture has an effect on employee performance at KSU GAPOKTAN ALBASIKO II. The type of research used is quantitative research which is research with the aim of knowing how much influence the independent variable has on the dependent variable. The research approach used is survey research which is a category of research that aims to analyse the relationships between one variable and another. Primary data was obtained from distributing questionnaires. The population in this study were 53 people and a sample of 53 people. Data analysis and processing techniques using simple linear regression analysis, coefficient of determination (R2), simultaneous test (F test), classical assumption test and hypothesis testing with variables X Organisational Culture and Y Employee Performance. The results showed that there was a significant influence between organisational culture on employee performance.

This research aims to determine the effect of price on consumer purchasing decisions at Sagalas Coffee Panyabungan II, Mandailing Natal Regency. The type of research used was quantitative research and involved a sample of 96 respondents using the Lemeshow formula. Data collection techniques are observation, documentation and distributing questionnaires. Data analysis techniques use validity tests, reliability tests, normality tests, heteroscedasticity tests, simple linear regression analysis tests and hypothesis tests. All research tests were carried out using the SPSS version 25 program. Price has a partial positive effect on consumer purchasing decisions at Sagalas Coffee Panyabungan II, Mandailing Natal Regency, indicated by an R value of 0.940 which is in the correlation interval 0.80 - 1.00 and an R value The square is 0.884 times 100% = 88.4% and the remaining 11.6% is influenced by other variables. In other words, there are still other variables that influence the consumer purchasing decision variable (Y) at Sagalas Coffee Panyabungan II. Based on the research results, it can be concluded that price has a positive and significant effect on consumer purchasing decisions, with a partial test value (t) of 26.789 and a ttable value of 1.661. So the tcount value is greater than ttable, namely 26.789, greater than 1.661 (26.789 > 1.661), which indicates that the first hypothesis, namely Ha, is accepted while H0 is rejected.

The research conducted aims to analyze the impact of public service quality on the level of public satisfaction in Ngamprah District, particularly in the implementation of the District Integrated Administration Service System (PATEN). Using simple linear regression analysis, this study evaluates the relationship between public service quality (X) and public satisfaction (Y). Data was collected from 33 respondents through questionnaires measured using a Likert scale. The analysis results indicate that public service quality has a significant impact on public satisfaction, with a regression parameter value of 0.423 and a significance value of 0.000. The coefficient of determination, or R Square, is valued at 0.771, indicating that 77.1% of the variance in public satisfaction can be explained by the quality of public service. This study concludes that improvements in public service quality are directly associated with increases in public satisfaction. The findings highlight the importance of focusing on service aspects such as timeliness, ease of access, service model variety, accuracy, completeness, courtesy, responsibility, friendliness, and comfort to achieve higher service standards and enhance public trust.

Damage that occurs to manufactured goods can occur due to several things, such as in the manufacturing process, in the packaging process or during the delivery process. To find out where when the goods were damaged and the factors causing the damage to the goods as well as the efforts made to reduce the damage to the goods, an investigation was carried out at the time of unloading the goods, to find out where the damage to the goods occurred so as not to harm the recipient of the goods if they received the goods in damage condition.Based on multiple linear regression analysis, the results obtained are Y = 3.133 + 0.044 X1, + 0.402 X2 + 0.299 X3 + . Partial test results of machine (X1), material (X2), man power (X3) have a positive and significant effect on damage goods. It is proven by the results of the comparison of the value of t count with t table and with a significant level comparison of 5% (0.05) where the machine variable t count (0.413) < t table (1.98609), material variable t count (3.142) > t table (1.98609), variable man power t count (2.990) > t table (1.98609). The R2 test of machines, materials and man power gave a significant effect on damage goods by 43.6%, while the remaining 56.4% was explained by other causes outside the model variables that were not examined.

The rapid development of science and technology, in line with the progress of time, has led to the increased use of personal computers, playing a crucial role in assisting human tasks. Additionally, the use of technology in work processes helps to improve speed and accuracy compared to not using technology. Today, Systems Information and Technology (SI/IT) are not only needed as tools to support an organization's operational activities but also as an essential aspect of business strategy to achieve organizational goals. Computer-based information systems have now become a primary necessity for fulfilling information needs. Many sectors have utilized computer information systems as a means to simplify tasks. Therefore, this journal will discuss "Information System Strategy Planning using the Five Competitive Forces."

Nowadays, many people spend their vacation time traveling to a new destination or a destination that has already been visited. This potential must be used by a destination to increase the interest of tourists to visit again. This research was conducted at Bali Dive Resort and Spa Tulamben which is located in Tulamben village, Karangasem. The purpose of this study was to test and explain the role of destination image, perceived value, experiential marketing on revisit intention in domestic customers of Bali Dive Resort and Spa Tulamben. The sample in this study were 120 respondents. Data collection was carried out by distributing questionnaires via google form. The collected data were analysed by classical assumption test, multiple linear regression analysis and hypothesis testing. The results of this study indicate that the variables of destination image, perceived value, experiental marketing have a significant positive effect on revisit intention. The implications of this research can be taken into consideration and input for Bali Dive Resort and Spa Tulamben in maintaining the revisit intention domestic customers by considering the variables of destination image, perceived value and experiential marketing.