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The purpose of this study is to determine the impact of the Korean Wave and Brand Ambassadors on Purchase Decisions at Bukalapak via Brand Image. The population in this study consists of all consumers aged 16 to >35 years who are aware that Son Jong Ki is a brand ambassador and that Son Jong Ki carries the influence of brand ambassadors and who have purchased at Bukalapak with a minimum of two purchases in the last four months. A sample of 160 people was obtained using the non-probability sampling technique with purposive sampling. Path Analysis is the statistical tool used. Statistical software is used to process data. According to the findings of this study, the Korean Wave has a positive effect on brand image, which is consistent with Brand Ambassador having a positive effect on brand image. Then, Brand Image has a positive effect on purchasing decisions, whereas Korean Wave and Brand Ambassador have no effect. For Korean Wave and Brand Ambassador, Brand Image becomes an intervening variable.

This study aims to determine the effect simultaneously and partially of Compensation and Work Discipline on Employee Performance at the Cahya Fajar Car Repair Shop, Magelang. The research method used in this study is to use quantitative research methods with a census approach. The population in this study were 44 employees of the Cahya Fajar Car Repair Shop. The type of data used in this study is primary data obtained through questionnaires. The data testing technique used in this study uses the validity test, reliability test and classic assumption test. Data analysis in this study used multiple regression analysis using SPSS software version 25. The results of the study show that compensation and work discipline simultaneously have a significant effect on employee performance at the Cahya Fajar Magelang Car Workshop. Partial compensation has a significant effect on employee performance at the Cahya Fajar Car Repair Shop, Magelang. Work Discipline partially has a significant effect on Employee Performance at the Cahya Fajar Car Repair Shop, Magelang.

This study aims to determine the effect of work motivation, work discipline and reward on the performance of Grab online motorcycle taxi drivers in the city of Semarang. This study used quantitative research methods. The population used in the study was Grab online motorcycle taxi drivers in Semarang year 2022 and the sample used was 100 respondents. Data analysis in the study using SPSS for window software version 26. The results of this study show that there is a positive and significant influence between work motivation (X1) on the performance of grab online ojek drivers in Semarang (Y) partially with a calculated t value of 6,833 and a significance value of 0.000, work discipline (X2) has a positive and significant effect on the performance of grab online motorcycle taxi drivers in Semarang (Y) partially with a calculated t value of 2,918 significance value of 0.4 reward (X3) has a positive and significant effect on driver performance Grab online motorcycle taxi in Semarang city (Y) partially with a calculated t value of 10,655 and a significance value of 0.000. The results of the coefficient of determination (R2) test obtained a value from Ajusted R Square of 0.915 or 91.5% showed that the performance variables of Grab online motorcycle taxi drivers in Semarang were influenced by work motivation, work discipline and reward variables, while the remaining 0.085 or 8.5% were influenced by other variables that were not in this study.

This study aims to analyze the corn agribusiness supply chain in Sigi Regency, precisely in Sidondo Village. The paradigm in this study is the constructivism paradigm. A qualitative descriptive approach is used in this study. This research requires 15 informants consisting of Farmers, Fertilizer Providers, Seed Providers, Collectors, Wholesalers, Small Traders, Consumers. The data collection process was carried out by direct field interviews with informants. The data analysis method used is the Nvivo 12 Plus software. The results of this study indicate that the sweet corn agribusiness supply chain in Sidondo Village is included in the Upstream Supply Chain, Internal Supply Chain, and Downstream Supply Chain routes. The results of this study indicate that the upstream supply chain is related to the activity of providing corn seeds and the provision of corn fertilizer to corn farmers, the internal supply chain is related to the corn production process from planting to post-harvest, and the downstream supply chain is related to the distribution of crops up to the end consumers. The effectiveness and efficiency of the sweet corn agribusiness supply chain in Sidondo Village has been running well and smoothly. There is already coordination, information sharing, communication, and flexibility in corn agribusiness in Sigi District, Sidondo Village.

This study aimed to confirm Gen Z work values in Central Kalimantan by adapting the instruments and indicators developed by Lyons et al. ( 2010 ), which consist of intrinsic, extrinsic, altruistic, status, and social values. This research is explanatory and descriptive. The research instrument was an online questionnaire. The research respondent were final-year students, with a total of 99 respondents. Data analysis of this study was done by descriptive analysis and independent sample t-test using SPSS 25 software. The result showed that the highest average work values were status-related work values, altruistic work values, and intrinsic work values.

The joint stock price index (IHSG) as a benchmark for the progress of the capital market in Indonesia. The purpose of this study was to analyze the effect of Macro Variables on the Composite Stock Price Index (JCI) for the period 2010 to 2021. The macro variables used were Inflation, Economic Growth, Dollar Exchange Rate and SBI or 7 Day Repo Rate against the JCI. The number of years in the sample is 12 years, from 2010 to 2021. Multiple linear regression analysis, T test, F test, coefficient of determination test using SPSS Version 26 software. The conclusion is that gold price and Lq45 has  significant effect on the JCI, while the others macro variable, have no significant effect on the JCI. Simultaneously, all macro variables have a significant effect on the JCI.    

This study aims to determine the effect of audit opinion and audit delay on stock prices with firm size as a moderating variable. This research is a quantitative research using secondary data from the financial statements of banking companies that have been listed on the Indonesia Stock Exchange for the period 2019 to 2022. The sample in this study was obtained using the probability sampling method, and 20 companies were obtained so that the sample used was 80 data. Data analysis in this study used SPSS software version 27. The results showed that audit opinion had no effect on stock prices, while audit delay had a significant negative effect on stock prices. On the other hand, company size can strengthen the negative effect of audit opinion on stock prices, but cannot strengthen or weaken the effect of audit delay on stock prices.

This study aims to analyze the effect of a causal relationship from leverage ratios, liquidity, and firm size as independent variables to financial distress as the dependent variable in real estate and property companies. The research population used was 84 real estate and property companies listed on the Indonesia Stock Exchange (IDX) during the 10-year research period in 2012-2021. The research sample was taken using a purpose sampling technique with 32 selected samples being companies that met the sampling criteria. The analytical method used in this study is a quantitative research method through descriptive statistical testing, classical assumption testing, multiple linear regression testing, and hypothesis testing using IBM SPSS 25 software. The results found that (H1) leverage has a sixnificant negative effect on financial distress with six value 0.003 < 0.05; (H2) liquidity has no sixnificant effect on financial distress with a sig value of 0.576 > 0.05; (H3) company size has a significant negative effect on financial distress with a sig value of 0.002 <0.05.

The aim of this research is to classify regencies and cities in Southeast Sulawesi province based on poverty indicators. The method used is descriptive quantitative using cluster analysis with SPSS software. The data used is secondary data originating from BPS in the form of cross-sectional data for 2022 which consists of the poverty depth index, the percentage of poor people and the poverty severity index. Based on the results of the analysis, poverty at the district and city levels in the province of Southeast Sulawesi is divided into 3 groups. Group 1 consists of the city of Kendari and the city of Bau-Bau. Group 2 consists of Buton Regency, Muna Regency, Kolaka Regency, South Konawe Regency, Bombana Regency, Wakatobi Regency, East Kolaka Regency, West Muna Regency, Central Buton Regency and South Buton Regency. Group 3 consists of Konawe Regency, North Kolaka Regency, North Buton Regency, North Konawe Regency and Konawe Archipelago Regency. Based on cluster analysis, regencies and cities that have the highest poverty are in group 3, moderate poverty is in group 2 and the lowest poverty is in group 1

This study aims to determine the effect of Quality of Work Life on Lecturer Performance through strengthening Organizational Commitment. The population in this study were all lecturers working at Insitut Teknologi Sains dan Kesehatan RS dr. Soepraoen Malang. The sampling technique used in this study is Nonprobability Sampling with a total of 71 respondents and the data is processed through Smart Partial Least Square (PLS) software. The results of this study indicate that the better the Quality of Work Life, the more it will contribute to the lecturer performance of Insitut Teknologi Sains dan Kesehatan RS dr. Soepraoen Malang. Likewise with the Quality of Work Life which is getting better it will contribute to the organizational commitment of lecturers. It was also found in this study that organizational commitment which was still low could not contribute to improving the lecturer performance of Insitut Teknologi Sains dan Kesehatan RS dr. Soepraoen Malang. And organizational commitment has not been able to play a role in mediating the relationship between Quality of Work Life and lecturer performance of Insitut Teknologi Sains dan Kesehatan RS dr. Soepraoen Malang.

Software design using the RAD methodology has been widely used among practitioners and academics. One of the advantages of using RAD is the rapid development of software systems. In this paper, the authors employ the RAD method as a software development approach for a service business in the rental equipment information system. The purpose of this paper is to contribute scholarly recommendations regarding the use of RAD methodology in the design of rental equipment information systems. The research methods utilized in this paper are literature review and software system implementation. In relation to the implementation stage, the author utilizes the Java programming language and MySQL as the database. The results obtained from this paper include the faster development of software quality and the recommendation of screen design prototypes that can be used by software developers involved in similar rental service businesses.

This study aims to determine: Showing an interactive learning media of mathematics on students' mathematical communication skills as a whole, The magnitude of the influence of using Geogebra-based interactive learning media on mathematical communication abilities based on educational level,  the magnitude of the effect of using interactive mathematical learning media on mathematical communication skills based on previously used interactive learning media, the large influence of the use of interactive learning media plays an important role in systematic mathematical methods, the large effect of the use of interactive learning media on mathematical communication skills is imaginative to mathematical communication based on the mathematical ability that is measured. This study uses the addie model. This sampling technique is highly influential using the Addie model and obtained 20 studies that match the criteria. This data collection technique uses freetest and posttest with the help of Geogebra Classic 6 software and the help of Microsoft powerpoint. The results of this data experiment show that:  overall this interactive learning media has a major influence on students' mathematical communication abilities.

This research is to analyze the existing database at the software laboratory center to obtain the necessary information and design a data warehouse to integrate existing data and provide global information. The method used is the method of analysis and planning. The method of analysis is carried out through reviewing and carrying out system analysis, carrying out analysis and identification of system vulnerabilities, and analyzing problem solving. And the data warehouse design method is implemented by applying the nine steps (Nine-Step Methodology) used by Ralph Kimball to design the star model. The result is a data warehouse that provides some global information that is global, meaningful, integrated and can be viewed from different perspectives and is useful for managers in decision making. A separate repository of functioning databases. A software lab center is already needed to help managers make strategic decisions quickly and accurately.    

Since its introduction in 2005, podcasts have gained increasing popularity and widespread usage across various sectors. Apart from serving as a form of entertainment that shares the characteristic of proximity, similar to radio, podcasts have also emerged as an educational media, attracting a growing number of enthusiasts. The education sector has recently embraced podcasts as a tool to enhance the development of skills and abilities in podcast creation, ultimately leading to improved workstation productivity. The activities are designed based on the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) for media development. The implementation of these activities includes the introduction and installation of podcasting equipment, as well as providing tutorials on the usage of podcast recording software. Reflecting on the content presented, practical exercises are conducted, wherein students assume the role of operators, while teachers act as podcasters delivering subject-specific material aligned with the subjects they teach.

This study aims to determine the effect of information systems on public awareness of paying taxpayers at the Blang Bladeh Samsat Office. This type of research is associative research. Data collection in this study was carried out through a survey approach with a quantitative descriptive type of research by distributing questionnaires to 100 respondents, while the population used in this study was the tax payers in the city of Blang Bladeh. Data collection techniques were carried out by interviews, questionnaires and documentation studies. The data analysis tool used in this study uses SPSS (Statistical Product Software Solution). The results of this study indicate that the information system has a positive and significant effect on public awareness of paying taxpayers at the SAMSAT blang bladeh office.

With the changing times, technology has become more sophisticated and powerful. Even all circles of society also feel the impact, as time goes by many people have taken advantage of this technology, thus making it easier for users to carry out activities in each of their activities. Especially in this millennial era, which predominantly uses everything digital. For example, new students who study to the next level at a dominant university from outside the region who need a temporary residence or what is commonly called a boarding house. The difficulty encountered at first was the difficulty of getting information and locations that were easily accessible by students to campus. In this way researchers take advantage of existing problems by utilizing technology to create an information system. With this application, it is hoped that it will make it easier for students to find boarding houses that match the student's wishes and assist the owner of the boarding house in promoting his boarding house. By making this boarding house application, it is a form of utilizing existing technology so that it can be used anywhere and anytime. By using this extreme programming method, it is software development that gives users access rights to add or change application processes. So a website was created to build applications for boarding houses in the city of Sukabumi.

This data mining association processes 1224 Gamefantasia ticket redemption transaction data. The goal is to find a pattern of association between goods as a recommendation for structuring the display of goods at the cashier counter and increasing ticket exchange transactions. Modeling uses a comparison of two algorithms, namely the Apriori algorithm and FP-Growth. The data analysis method with the CRISMP-DM method is then processed by RStudio software. The results of the study with the same parameters support 0.02 and confidence 0.1 FP-Growth algorithm formed 53 rules, the strength of the association rule 6.2%, the accuracy was1245%. Whereas the Apriori algorithm forms only 12 rules, the strength of the association rules is 2.1% and the accuracy is 7.8%. Thus, it can be concluded that the use of the FP-Growth algorithm has better results than the Apriori algorithm because it has the highest accuracy in finding transaction patterns.

This study aims to develop and produce interactive multimedia-based mathematics learning media using Adobe Flash CS 6 software that is valid, practical, and effective. This type of research is development research which refers to the ADDIE development model. This study used research instruments, the instruments used were material validation questionnaires, media, student and teacher responses regarding practicality and regarding the effectiveness of the learning media used. This study's findings indicate that: 1) The learning media's validity score of 3.245 places it in the valid category, while the media's validity score of 3.30 places it in the very valid category. 2) In the very practical category, the practicality of learning media received a score of 3.81, and in the very practical category, student assessments received a score of 3.49. 3) Learning media have a moderate or effective effectiveness score of 0.5.

Coffee is an agricultural product that not only functions as a fresh drink, but also comes from an annual plant. Indonesia is known as one of the largest countries in coffee production in the world after Brazil, Vietnam and Colombia in 2017. There are two of the most commonly known varieties of coffee, namely arabica coffee (Coffea arabica) and robusta coffee (Coffea canephora). Due to the similarities between the two types of coffee beans, many people, especially those who are not experienced in the world of coffee, have difficulty telling the difference. Therefore, we need a tool that can help overcome this problem, such as smartengine which can classify arabica and robusta coffee beans. The development of this smartengine follows the Software Developer Life Cycle method using a spiral approach which involves several cycle stages. The first stage involves creating a deep learning model using the Deep Learning Life Cycle method which consists of several steps. In the second stage, deep learning models are provided as a service that can be used by other applications through application programming interfaces (APIs). For smartengine implementation, Google Colab with Keras API and TensorFlow backend is used. This smartengine has the ability to detect coffee beans and also allows the retrain process if needed. Testing is carried out using the blackbox method, where the feature functionality of the smartengine is tested. This research succeeded in developing a smartengine that can detect Arabica and Robusta coffee beans.

In this investigation, we'll find out whether work placement and work experience affect employee performance at PT.  Indonesia Trans Network.  In this study employing analytical techniques, namely where the subjects of this study amounted to 31 employees of PT.  Indonesia Trans Network.  The sample is census sampling or saturated sampling, namely the whole populace is employed as a study example. The method of data analysis employs multiple linear regression using SPSS version 26 software. The results of the research by testing the hypothesis show that work placement and employment history have a favorable and significant impact on employees' performance at PT.  Indonesia Trans Network.  The proportion of the two variables on employee performance is 57%, while the remaining 43% is influenced by other factors in the regression model.