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This study investigates the influence of inflation and unemployment on poverty levels in several provinces in East Java. The aim of this research is to find out how variables such as inflation and unemployment rates impact poverty levels. This research was conducted using descriptive quantitative methods. Secondary data was collected from the Indonesian Central Statistics Agency (BPS) and other parties involved in this research. Multiple linear regression analysis was carried out using the SPSS 26.0 program. The percentage of poverty level is the dependent variable, and the percentage of inflation and unemployment levels are the independent variables. The research results show that the independent variable and dependent variable simultaneously have a significant influence. Each independent variable has a different impact on the influence individually (partially). Inflation does not have a significant impact on poverty, but unemployment has a significant impact on poverty.

This study aims to analyze the influence of work culture, work ethic, and employee performance on production results within an organization. Data were collected through a survey of employees and analyzed using linear regression to examine the relationship between independent and dependent variables. The results indicate that employee performance and work ethic have a positive and significant impact on production results, meaning that the better the performance and work ethic of employees, the higher the production output achieved. Conversely, work culture shows a negative effect on production results, suggesting that certain aspects of the existing work culture may need improvement to better support productivity enhancement. The regression model used in this study demonstrates that work culture, work ethic, and employee performance can explain a significant portion of the variation in production results, although other external factors may also contribute. Therefore, organizations need to evaluate their existing work culture and develop strategies to improve work ethic and employee performance. Measures such as training programs, incentive schemes, and improvements in the work environment can help optimize productivity and enhance production outcomes.  

Teknologi telah menjadi bagian yang tidak bisa dipisahkan dalam kehidupan manusia, bahkan pada usaha dibidang jasa transportasi juga sudah memanfaatkan teknologi yaitu dengan transportasi online seperti Gojek dalam pelayanannya. Penelitian ini bertujuan untuk mengetahui pengaruh insentif, adversity quotient dan feedback terhadap kinerja pengemudi gojek di kota Semarang. Populasi dalam penelitian ini yaitu seluruh pengemudi gojek di kota Semarang dengan sampel penelitian menggunakan teknik non probability sampling dengan metode purposive sampling sebanyak 96 orang. Metode analisis data yang digunakan adalah analisis regresi linier berganda yang diolah menggunakan program IBM SPSS statistic versi 25. Hasil penelitian ini menyatakan bahwa Insentif berpengaruh positif dan signifikan terhadap kinerja pengemudi gojek di kota Semarang, Adversity Quotient berpengaruh positif dan signifikan terhadap kinerja pengemudi gojek di kota Semarang, dan Feedback berpengaruh positif dan signifikan terhadap kinerja pengemudi gojek di kota Semarang. Technology has become an inseparable part of human life, even businesses in the transportation services sector have also utilized technology, namely online transportation such as Gojek in their services. This research aims to determine the effect of incentives, adversity quotient and feedback on the performance of Gojek drivers in the city of Semarang. The population in this study were all Gojek drivers in the city of Semarang with a research sample using a non-probability sampling technique with a purposive sampling method of 96 people. The data analysis method used is multiple linear regression analysis which was processed using the IBM SPSS statistics program version 25. The results of this study state that incentives have a positive and significant effect on the performance of Gojek drivers in the city of Semarang, Adversity Quotient has a positive and significant effect on the performance of Gojek drivers in the city. Semarang, and Feedback has a positive and significant effect on the performance of Gojek drivers in the city of Semarang.

This study analyzes and optimizes production systems in the Industry 4.0 context, examining the fundamental shift from centralized, push-based production models to decentralized, adaptive, pull-based approaches. The research employs a mixed-method approach combining comprehensive literature review and multiple case studies across manufacturing sectors. Findings reveal that integration of Internet of Things (IoT), cyber-physical systems, artificial intelligence, and big data analytics enables real-time communication between production components, product personalization, and faster decision-making. Despite significant benefits in efficiency, flexibility, and competitiveness, implementation challenges persist, including high initial investment, employee resistance, technical expertise limitations, and integration complexity. Optimization approaches such as mixed-integer linear programming, digitally-integrated Lean Six Sigma, and digital twin simulations effectively enhance performance indicators including flexibility, reliability, and energy efficiency. The study concludes that successful production system transformation requires an integrated strategy encompassing process engineering, digital competency development, change management, and continuous evaluation to ensure sustainable optimization in the digital era

This research discusses the influence of product quality and service quality on purchasing decisions for Mixue Ice Cream & Tea. The aim of this research is to determine the influence of product quality (X1) and service quality (X2) on purchasing decisions (Y). This research uses indicators from each variable. The indicators of Product Quality (X1) are color, appearance, portion, aroma, taste. Indicators of Service Quality (X2) are reliability, responsiveness, assurance, empathy, physical evidence. Indicators of Purchasing Decisions (Y) are product choice, brand choice, dealer choice, purchase time. This research uses quantitative methods with a population of 80 people and a sample of 80 people, while processing research data uses the SPSS version 26 program. Based on the research results, it can be seen that product quality variables and service quality variables partially have a significant effect on purchasing decision variables as proven in The results of the T test research with a calculated t value of 5.571 > t table 1.991 and a significant value of 0.000 < 0.05. And it is also known that the product quality variable and the service quality variable simultaneously have a significant effect on the purchasing decision variable from the F test with a significant value of 0.000 < 0.05 and a calculated F value of 168.657 > F table 3.12, so service quality has a positive influence on the decision. purchase. The results of the multiple linear regression test which has the equation Y = 2.211 + 0.529 Xı + 0.410 The results of the coefficient of determination test show that the value (R Square) obtained is 0.814 (81.4%) indicating that product quality and service quality have an influence on purchasing decisions by 81.4%.

This study aims to determine the effect between the variables Brand Image (X) and Price (X2) on Consumer Purchase Interest (Y) at MDA Collection. This type of research is quantitative research which is used to test the relationship of a variable to other variables which emphasizes its analysis on numbers processed by statistical methods. The data collection techniques used are primary data and secondary data. Sample selection using saturated sampling method, the number of samples in the study obtained 40 respondents at MDA Collection. Data analysis using the Statistical Program for Social Science (SPSS). The analysis techniques used are validity and reliability tests, classical assumption tests, multiple linear analysis tests and hypothesis testing. Based on the results of this study, it shows that partially the Brand Image variable (X1) has a significant effect on Consumer Purchase Interest (Y). Partially Price (X2) has a significant effect on Consumer Purchase Interest (Y). Simultaneously Brand Image (X1) and Price (X2) affect Consumer Purchase Interest (Y).

Consumptive behavior can be said to be the behavior of buying goods without strong consideration and prioritizing desires over needs. Consumptive behavior is influenced by two main factors, including internal factors that cause consumptive behavior including self-esteem, drive, self-concept, and personality. As well as external factors that cause consumer behavior due to social class, culture, reference groups and family. This research aims to determine the influence of peer behavior, use of social media, and lifestyle on the consumptive behavior of students at SMKN 1 Tanjung Jabung Barat for the 2023/2024 academic year. The method in this research is quantitative research. The samples were taken using nonprobability techniques. The sample in this research were class The analysis used is multiple linear regression with the SPSS 27 program. The research results show that peer behavior (X1) partially influences consumptive behavior (Y), social media (X2) partially has no influence on consumptive behavior (Y), lifestyle (X3) partially influences consumptive behavior (Y). Meanwhile, simultaneously the behavior of peers, social media and lifestyle on consumer behavior is 32.9%. And the remaining 67.1% is influenced by other variables outside this research.

This research focuses on optimizing the profits of  UMKM production of banana chips using the simplex linear programming method and the help of POM-QM software. This research aims to find out ways to use profit optimization methods in banana chips MSMEs so that they can find out maximum profits, production costs, income and raw materials used. The method used is a qualitative descriptive method, where the data obtained is more descriptive in nature from the results of interviews and observations that have been carried out and then the data will be analyzed qualitatively. Data collection techniques in this research include the use of primary data and secondary data. Primary data is obtained through observation, interviews, or distribution of questionnaires to relevant sources. Meanwhile, secondary data was obtained through literature searches from books and magazines that were relevant to the research topic. The analysis technique used is linear programming using the simplex method. The research results and discussion show that this function has reached optimal conditions. Therefore, the calculation stops once all the values in the objective function become positive. The result of this solution is the variable value x1 = 6 ; x2 = 2 ; x3 = 0 dan x4 = 0. Increase in profit from the initial value of Rp. 675,000 to reach a maximum profit (Zmaks) of Rp. 900,000, then the difference between profits before and after optimization is IDR. 225,000, and with the help of POM-QM for Windows software calculations become more relevant because this tool helps in completing calculations to achieve maximum profit levels quickly, accurately and efficiently.

household industry or usually known quantity when UMKM  is an arising chance. Rephrase. This happens because there are very few job break. However, some UMKMs still have adversity determining the optimal  production abundance broad- based on accessible expedient, so  these troop cannot amplify. One of them is Bu Ida fruit juice, which consistently produces fruit juice according to crowd-pleasing orders of average consumer credit. admittedly utilize capital and basic materials enough, Ms. Ida's business is growing day by day. From this research, problems were distinguish and answer live needed, comprehend the employment of linear programming to determine the  sales abundance that absence to be optimized to attain maximum earnings from juice sales Ida's fruit. There are 6 (six) juices and 6 (six) ingredients. In this study, a simple method linear programming algorithm is applied to obtain an optimization model to maximize the  juice production quantity and obtain optimal profits. The POM-QM Windows application provides fast, accurate and precise  calculation results.

Linear programming is one of several methods of maximizing or minimizing an objective function to create an optimal solution. However, an efficient method is needed to perform calculations. In this research, the manual simplex method was used to maximize profits from the sale of penyet chicken, geprek chicken and halibut chicken in one of the MSME businesses in the city of Medan. Apart from that, an analysis tool was also used in the form of an application called POM-QM for Windows to verify the calculation results manually. In this research, 3 variables and 7 obstacles were identified which were resolved using the simplex method which means a maximum profit of IDR 2,330,000 per day with an increase of IDR 1,194,000.

In a Micro, Small and Medium Enterprises (MSMEs), business actors often do not know exactly how many goods must be produced and sold in order to get maximum profit. To find out the maximum profit and the number of products that must be produced, the simplex method in linear programming can be used. The simplex method is a method to find the optimal solution of a linear programming model with the principle of iteration. There is a tool to solve linear programs quickly, namely Lingo software that can be used to calculate many problems in a fast time. To implement this simplex method, the data taken by researchers is on MSMEs that produce Cold Drinks with the name Cold Ice. That way, the purpose of this study is to find out how much maximum profit is obtained after obtaining the optimum production amount of each product on Cold Ice in the Medan area.

Consumer market demand for certain specifications of coal continues to increase every year. However, each coal company has a variety of coal qualities in terms of calorific value, water content, ash content, and total sulfur and so on. PT. Alamjaya Bara Pratama is a coal mining company that has several types of coal products that vary in quality. By coal blending, the aim is to obtain coal product that meet the target with a homogeneous composition and according to consumer coal quality specifications. With the linear programming method for coal blending calculations using the Production and Operation Management - Quantitave Methods software has an influence in maximizing the use of the composition quantity for each type of product (MD and HS) as well as optimizing the quality of the coal blending results. Through POM-QM, it has the advantage of being able to determine the benchmark target value for one of the desired coal quality parameters. With subbitumious coal quality as for the research results are calculations of the final quality for each Mother Vessel, one of which is MV Eastern Camelia with the planning results is (AC 5,0% adb, TS 0,90% adb, GAR 4590 kcal/kg arb) with tonnage requirements for coal products (MD = 29.727,84 MT and HS = 22.772,16 MT). Through the use of linear programming (POM-QM) in calculating coal blending planning, the results are obtained and meet each coal quality parameter limit criterion based on consumer demand.

The aim of this research is to analyze and test the influence of CAR, NPL, BOPO on LDR PT. Bank Tabungan Negara Indonesia Tbk. This type of research is explanatory research. The sample used in this research was PT. Bank Mandiri (Persero) Tbk published its financial reports for the 2006-2013 period. Data collection techniques are library research and field research techniques. This research uses descriptive analysis, classical assumption tests and multiple linear regression for data analysis with the help of the Eviews 8 program. From the analysis test results it is known that the CAR, BOPO and NPL ratios have no influence on the LDR ratio during the 2006-2013 period.

The problem that occurs is optimizing products at Sofie Localfood in Palu City to increase production and income. This research uses quantitative descriptive methods, with primary data and secondary data. The data collection techniques used were observation, interviews and documentation. The data analysis used is linear programming using the simplex method. The results of this research show that product optimization analysis at Sofie Localfood in Palu City can provide significant results for developing the local economy and strengthening regional cultural identity. This research highlights the importance of analyzing the optimization of Sofie localfood products in Palu City in the context of local economic development and regional cultural preservation. By using the simplex method, Sofie localfood producers can identify more efficient production strategies in optimizing the company's products.

Background: Increasing droughts caused by climate change have significant impacts on the agricultural sector, particularly on household food security. Purposed: To examine farmers' perceptions of the impact of horticultural crop diversification as an adaptation strategy to improve food security in drought-prone areas. Research Method: A quantitative approach using a survey method based on questionnaires distributed to farmers involved in horticultural crop diversification. Household food security was measured using the Household Food Security Index (IKP), and linear regression analysis was used to assess the impact of crop diversification on food security. Results: Horticultural crop diversification can improve household food security, particularly in drought-prone areas. Social, economic, and agricultural resource access factors have a significant impact on food security, with access to agricultural resources having the greatest effect. The validity and reliability tests show that the instruments used in this study are valid and reliable. In addition, the normality, multicollinearity, and heteroscedasticity tests indicate that the data meet the assumptions required for regression analysis. This study concludes that horticultural diversification is an effective adaptation strategy in dealing with the impacts of climate change and improving household food security, with recommendations to increase access to agricultural resources and support crop diversification programs in drought-prone areas.

This study aims to determine: the effect of partial and simultaneous accountability and transparency on the management of APBDes. This type of research is quantitative. The population of this research is village officials, members, VCB (Village Consultative Body) and community leaders using a sample of 50 respondents. Data collection method by distributing questionnaires to respondents directly. The technique of determining the number of samples in the study used a random sampling technique. The analysis used is multiple linear regression analysis using the SPSS 25 program. The results of the study stated that: 1) accountability had a partial effect on the management of the APBDes with a contribution of 43.4%. 2) transparency has no partial effect on the management of the APBDes. 3) accountability and transparency simultaneously affect the management of APBDes with a contribution of 56.6%. APBDes management can be explained by the variation of the two independent variables of 43.4%. More attention is needed from the government of Sarireja Village, Tanjung Subdistrict so that the management of the APBDes can be more accountable and transparent.

Psychological well-being indicates an individual's ability to make life decisions independently, master their environment, establish positive relationships with other people, determine and achieve life goals, accept themselves positively, and develop their potential gradually. This research aims to determine the influence of self-concept and forgiveness on psychological well-being. This research uses quantitative methods. The subjects in this research were 134 students of the psychology study program at the Islamic University "45" Bekasi. The sampling technique used is simple random sampling. The data analysis technique used is multiple linear regression. The results of this research show that the F test result is a calculated F value = 153.579 with a significance value of 0.000 < 0.05 and the R2 value shows that self-concept contributes 70.1% to psychological well-being. Self-concept has a significant influence on psychological well-being, while forgiveness does not have a significant influence.

This study aims to explain the influence of the variables, the number of family members, the number of visitors, the level of expenditure, and working hours on the income of the community around the Hutan Kota Langsa area. Data were collected through questionnaires distributed to respondents, and the sample size for this research was 52 respondents. The data analysis method employed multiple linear regression using the SPSS program. The research findings indicate that the number of family members has a positive but not significant impact on the income of the community around the Hutan Kota Langsa area. Meanwhile, the variables of the number of visitors, expenditure level, and working hours have a positive and significant impact on the income of the community around the Hutan Kota Langsa area. Simultaneously, all dependent variables have a positive and significant impact on the dependent variable, income.

This study aimed to examine the effect of Budget Participation, Budget Emphasis on Budgetary Slack with Ethical Consideration as Moderating Variable. This kind of study is quantitative research with primary data collected in a questionnaire distributed to 38 respondents. The data is processed with multiple linear regression analysis by using Statistical Program for Social Science (SPSS). The results showed that budget participation and budget emphasis has effect on budgetary slack. Meanwhile, ethical considerations cannot moderate the relationship between budget participation and budget emphasis on budgetary slack.

ST HALIJA, 2023. "The influence of brand ambassadors and TikTok social media marketing on the decision to purchase Scarlett Whitening among Management Study Program students" Thesis of the Management Study Program, Faculty of Economics and Business, Makassar State University. Supervised by Mrs. Hety Budiyanti and Mr. M. Ilham Wardhana Haeruddin.This research aims to determine the influence of brand ambassadors and TikTok social media marketing on purchasing decisions for Scarlett Whitening. The variables studied are brand ambassador and social media marketing as independent variables and purchasing decisions as the dependent variable. The population in this study were active students of the Management Study Program at Makassar State University with a sample using purposive sampling of 100 people. This research is quantitative research which was tested using the multiple linear regression method via SPSS 23.The results of this research show that brand ambassadors partially have a positive effect of 0.115 but are not significant on purchasing decisions with a significance value of 0.229 > 0.05, social media marketing partially has a positive effect of 0.765 and is significant on purchasing decisions with a significance value of 0.000 < 0.05. Simultaneously, brand ambassadors and TikTok social media marketing influence purchasing decisions with a significance value of 0.000 < 0.05.