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Employee performance is a critical determinant of service quality and operational success in hospitals. High-performing employees contribute directly to patient satisfaction, service efficiency, and overall institutional reputation. This study investigates the influence of intrinsic and extrinsic motivation on the performance of employees at Petrokimia Gresik Hospital, aiming to provide empirical evidence to guide strategic human resource management in healthcare settings. A quantitative research design was employed, with data collected using structured questionnaires. The respondents consisted of 85 permanent employees selected through simple random sampling, ensuring that the sample fairly represented the hospital's workforce. The questionnaire was designed to measure aspects of both intrinsic motivation (such as self-fulfillment, recognition, and meaningful work) and extrinsic motivation (such as salary, benefits, and job security), along with indicators of employee performance. Data were analyzed using multiple linear regression analysis to examine the individual and joint effects of the motivational variables on performance. The results revealed that both intrinsic motivation (β = 0.532, p < 0.05) and extrinsic motivation (β = 0.487, p < 0.05) had a statistically significant and positive impact on employee performance. The model showed that the combination of these two factors accounted for 68.2% of the variation in employee performance (R² = 0.682), indicating a strong explanatory power. These findings underscore the importance of a balanced motivational strategy in hospital management. Relying solely on financial incentives is insufficient; efforts must also be made to cultivate a positive and fulfilling work environment. Therefore, hospital administrators are encouraged to design integrated motivation programs that address both intrinsic and extrinsic factors to enhance employee engagement, productivity, and ultimately, the quality of healthcare services provided.

Employee shift scheduling in the hospitality industry remains a critical yet complex task due to fluctuating operational demands, fairness requirements, and labour regulations. Many hotels still rely on manual scheduling methods, which are time-consuming and prone to biases, particularly in ensuring fair workload distribution across employees. Despite numerous studies on workforce scheduling, limited attention has been given to integer linear programming (ILP) models that address gender-based restrictions and operational fairness simultaneously in real-world hotel contexts, especially in developing regions such as Central Java. This study proposes an Integer Linear Programming (ILP) model to generate optimal shift schedules for hotel staff over a 31-day planning horizon. The model incorporates operational constraints, including one shift per day, gender-based restrictions (which prevent female staff from working night shifts), availability, minimum staffing levels, and fairness in workload distribution. Key parameters and binary decision variables were defined to ensure compliance with the hotel's specific requirements. Empirical data were collected from a hotel in Central Java involving 20 employees, and the model was implemented using Python with a Gurobi solver. The ILP model successfully generated optimal schedules in under 10 seconds, significantly outperforming the manual method, which required over 4 hours. While the manual schedule resulted in an imbalance where some employees worked over 27 days and others only 22, the ILP approach enforced a strict maximum of 26 working days for all staff. Furthermore, the fairness index (FI) improved from 19.2% in the manual method to 0% in the ILP-generated schedule, indicating complete equity in workload allocation. The proposed ILP model demonstrates its effectiveness in improving scheduling fairness, operational efficiency, and compliance with labour policies. This work not only addresses a critical research gap in hospitality scheduling practices in Indonesia but also offers a replicable framework for other labour-intensive service sectors. Future research may explore multi-objective extensions incorporating employee preferences, satisfaction, and dynamic demand fluctuations.

Slums are one of the biggest challenges in sustainable urban development. In the midst of the government's efforts to run a program to handle slum organizations, the issue of miscarriage after physical intervention often goes unnoticed. This study aims to stop the slum management program in Tegal Sari Mandala II Village, with a Mixed Methods approach that combines linear multiple quantitative regression analysis and a qualitative descriptive approach.The results show that community participation has a significant effect on poverty programs, while infra-structure quality has not shown a statistically strong relationship. Qualitative findings support these results, where residents feel more attached to the programs they have followed in the past. Meanwhile, a number of infrastructures that are not in accordance with needs are considered less effective in supporting sustainability. This study concludes that the desire of the program is not only determined by technical aspects, but also by social, institutional, and cultural factors that are intertwined. Strategic recommendations include strengthening participation, improving design based on local needs, and integration with spatial policies.

This study investigates the correlation between mental health and turnover intention among working students at STIE IBMI Medan who fulfill dual roles as both students and employees. These individuals are particularly vulnerable to psychological stress arising from academic responsibilities and workplace demands. The objective of this research is to examine the influence of mental health on their tendency to resign from their jobs. An associative quantitative research method was adopted, with data collected through structured interviews involving 71 respondents. The analysis was conducted using simple linear regression via the SPSS application. The findings reveal that mental health has a significant negative effect on turnover intention, with a significance value of 0.001. This suggests that students who experience better mental health are less likely to consider leaving their jobs. The coefficient of determination (R Square) is 14.6%, indicating that mental health explains 14.6% of the variation in turnover intention. The remaining 85.4% may be attributed to other contributing factors, such as high work pressure from supervisors, poor work-life balance, financial stress, inflexible schedules, and lack of organizational support. The implication of these results is that efforts to support and maintain the psychological well-being of working students are essential for reducing employee turnover. Educational institutions and employers should collaborate to create supportive environments through counseling services, flexible scheduling, mental health awareness programs, and policies that accommodate the dual responsibilities of student workers. By addressing these mental health concerns, institutions can improve student performance and job retention simultaneously. This study highlights the importance of integrating mental health strategies in workforce and academic management, especially for populations that manage competing academic and professional obligations.

This study aims to examine the influence of academic stress and self-regulation on academic procrastination among students at SMK Negeri 48 Jakarta. Academic procrastination is a behavior commonly observed among vocational students who are required to balance both theoretical learning and practical skills development. The research employed a quantitative approach using a correlational survey method. A total of 289 students from tenth and eleventh grades, representing six vocational programs, were selected through proportional random sampling. Data were collected through structured questionnaires utilizing a Likert scale and analyzed using multiple linear regression with SPSS version 22. The findings of this study revealed that academic stress has a positive and significant effect on academic procrastination, with a regression coefficient of 0.224 and a t-value of 8.668 (p < 0.05). This indicates that higher levels of academic stress are associated with greater tendencies to procrastinate. In contrast, self-regulation was found to have a negative and significant effect on academic procrastination, with a regression coefficient of -0.351 and a t-value of 7.943 (p < 0.05), suggesting that students with stronger self-regulation skills are less likely to engage in procrastination. Furthermore, the simultaneous influence of academic stress and self-regulation on academic procrastination was significant, as evidenced by an F-value of 64.765 (p < 0.05). The coefficient of determination (R²) was 0.644, indicating that 64.4% of the variance in academic procrastination can be explained by the two independent variables. These results underscore the critical role of stress management and the development of self-regulation abilities in mitigating academic procrastination among vocational school students. Educational interventions focused on reducing stress levels and enhancing self-regulatory behaviors may serve as effective strategies to promote better academic outcomes and reduce counterproductive procrastination habits.

Livestock cultivation aims to meet the needs of animal food and improve the standard of living of farmers. Some of the factors that need to be considered in livestock cultivation include the selection of superior seeds, feed management, disease prevention and treatment, cages that meet standards, and marketing of livestock products. Livestock is one of the five agricultural subsectors where livestock is a cultivation or maintenance activity with the aim of benefiting from these activities. This study uses a type of quantitative research. The variables studied consisted of intensive maintenance costs and broiler profits. The population used in this study is all breeders in Nagan Raya Regency, each farm has different abilities and number of livestock. Therefore, the population used is all farmers with an intensive maintenance system in 5 sub-districts of Nagan Raya Regency, namely 12 chicken farmers. Because of the small number of populations, the sample in this study is the entire population. The data sources in this study consist of primary data and secondary data. In this study, quantitative analysis uses  the Statistical Product and Service Solution (SPSS) version 26 computer program, because with this program analysis can be carried out quickly, and produce more accurate outputs. And the data analysis model used in this study is a simple linear regression method. The results of this study are that intensive maintenance costs incurred by broiler farmers have a very good influence on increasing profits from farmers' crops. Because with an intensive system the growth of chickens is more uniform and the deaths that occur in broilers can be avoided.

This study aims to examine the influence of independent variables—Social Media, Pricing, and Promotion—on the dependent variable, Repurchase Decision, at Kedai Kopi Bersahaja. A quantitative research method was employed, utilizing multiple linear regression analysis with the assistance of SPSS 25 software. The population of the study consisted of 226 consumers, and a sample of 107 respondents was selected using incidental sampling techniques. Data were collected through questionnaires distributed to visitors who had made at least one purchase at the coffee shop. The results of the analysis indicate that each independent variable—Social Media, Pricing, and Promotion—has a positive and statistically significant partial influence on the Repurchase Decision. Additionally, the variables collectively demonstrate a strong simultaneous influence, suggesting that an integrated marketing approach is crucial for fostering customer retention and encouraging repeat purchases. Among the three, Social Media showed the most dominant influence, emphasizing the growing role of digital presence and online engagement in shaping consumer preferences and purchasing patterns. Based on these findings, it is recommended that Kedai Kopi Bersahaja maximize the use of social media platforms such as Instagram, TikTok, and Facebook by creating engaging, relevant, and interactive content that resonates with the target audience. Content strategies may include customer testimonials, behind-the-scenes videos, product highlights, and limited-time offers. Pricing should be evaluated periodically to remain affordable yet profitable, considering both market competition and perceived customer value. Meanwhile, promotion efforts can be diversified through the use of loyalty programs, bundle offers, student discounts, and digital coupons. The synergy between these three marketing factors—if consistently and strategically applied—is expected to enhance customer loyalty, strengthen brand image, and significantly increase the likelihood of repurchase decisions. These efforts are essential for building sustainable business growth in the competitive food and beverage industry.

This study aims to analyze the influence of accounting knowledge, business capital, and business length on the success of micro, small, and medium enterprises (MSMEs) in Tandes District, Surabaya City. The background of this research is based on the importance of financial management skills, sufficient capital availability, and business experience in supporting the sustainability and growth of MSMEs. This study uses a quantitative approach with primary data obtained through the distribution of questionnaires to MSME actors who are registered and domiciled in Tandes District. The sample criteria include fostered MSME actors who have been running their businesses for at least three years and marketing their own products. The number of respondents who were successfully collected in this study was 105 people. The data analysis technique used was multiple linear regression analysis with the help of SPSS software version 23.0. The results of the study show that the variables of accounting knowledge, business capital, and business duration simultaneously or partially have a positive and significant effect on the success of MSME businesses in Tandes District. Accounting knowledge helps business actors in managing finances and recording transactions systematically. Adequate business capital is an important factor in business development and increasing production capacity. Meanwhile, the length of the business reflects the accumulation of experience and practical knowledge that can improve managerial efficiency and effectiveness. Thus, these three variables have a strategic role in increasing the success of MSMEs. This finding provides an implication that MSME empowerment programs should be focused on improving accounting literacy, wider access to capital, and long-term business assistance. Local governments and related institutions can take these results into consideration in designing policies that support the sustainable growth of MSMEs.

The study presents a comprehensive framework for optimizing customer retention budget by integrating clustering, classification, and mathematical optimization techniques. The study begins with the IBM Telco dataset, which is prepared through data cleansing, encoding, and scaling.  In the preliminary phase, customer segmentation is performed using K-Means clustering, with k = 3 and k = 4 identified as optimal based on the elbow method and Silhouette score. The configurations produced three (Premium, Standard, Low) and four (Premium, Standard Plus, Standard, Low) customer segments based on purchase preferences, which served as input features for churn prediction. In the second phase, the dataset was divided into training and test sets in an 80:20 ratio, followed by data balancing using the Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbors (ENN). Multiple classification algorithms were evaluated, including Naive Bayes (NB), Random Forest (RF), Categorical Boosting (CatBoost), Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost), Gradient Boosting (GB), Support Vector Machine (SVM), Logistic Regression (LR), K-Nearest Neighbors (KNN), and Multi-Layer Perceptron (MLP) using F1-score as the performance metric. CatBoost and LightGBM, with k values of 3 and 4, respectively, were the highest-performing classification models, with only minimal differences in performance.    Ultimately, customer segmentation established customer prioritization, whereas churn prediction assessed customer churn likelihood. Four distinct configurations were assessed utilizing mixed-integer linear programming (MILP) to optimise retention budget allocation within uniform budget constraints, discount amounts, and churn thresholds. In both the k=3 and k=4 scenarios, CatBoost surpassed LightGBM, with CatBoost at K=3 effectively discounting 66% of at-risk consumers across all three segments, hence improving the intervention's efficacy and budget allocation, making it the ideal choice for maximizing customer retention. The results demonstrate the importance of segmentation in enhancing retention budgeting and budget optimization, particularly concerning parameter sensitivity.

 The increasing use of electric vehicles in last-mile logistics distribution demands efficient and strategic charging infrastructure. This study aims to determine the optimal location for electric vehicle charging stations in Semarang City using the Set Covering Problem approach. A total of 17 last-mile distribution points operated by a logistics company were analyzed based on geographic data consisting of latitude and longitude coordinates, which were then processed into a distance matrix using the Euclidean formula. The optimization model was developed under the constraint of the electric vehicle’s maximum coverage radius and solved using binary linear programming. The analysis revealed that a single charging station located in Central Semarang is sufficient to cover all distribution points spread across the city. These findings reinforce the efficiency of the set covering approach in infrastructure planning and offer practical implications for logistics companies to optimize resources, minimize investment costs, and improve operational efficiency.

This research aims to know and analyze both the partial and simultaneous effects of online customer review and online customer rating on the purchase decision on e-commerce Shopee among students of the business administration program of Nusa Cendana University. The number of samples in this research was 100 respondents, with using the Purposive Sampling technique. The data analysis techniques used are quantitative descriptive analysis, multiple linear regression analysis, and hypothesis testing and analysis of the coefficient of determination (R2) using the SPSS V26 application. From the results of Multiple Linear Regression Analysis, the equation is obtained: Y = 2.301 + 0.302X1 + 0.705X2 + 2.699. The results of both the t test and the F test show that partially online customer review and online customer rating have a positive and significant effect on purchasing decision. Based on the Adjusted R² value, the contribution of the perceived usefulness and trust variables to intention to use is 61,1%, while the remaining 38.9% of purchase decision variables were influenced by other variables not discussed in this study. For this reason, it is suggested that further researchers can examine variables outside of this study that can affect purchasing decisions, as well as not only Shopee e-commerce but also other types of e-commerce.

This study was conducted on employees of SMKS Muhammadiyah 1 Sintang with the aim of identifying the influence of motivation and discipline on employee performance. A quantitative research method was used with data analysis through the SPSS program. The research population consisted of administrative staff and teachers at SMKS Muhammadiyah 1 Sintang, with a sample of 40 respondents selected using the total sampling method. Data collection techniques used an online questionnaire, and the research instrument employed a Likert scale. Data analysis methods included validity tests, reliability tests, classical assumption tests, multiple linear regression analysis, and hypothesis testing. The results of this study indicate that: 1. Based on descriptive analysis, the motivation variable had an average value of 4.36 (very high category), the discipline variable 4.44 (very high category), and the performance variable 4.31 (very high category). 2. Motivation (X1) does not have a significant positive effect on employee performance (Y) with a calculated t-value of 1.631. 3. Discipline (X2) has a significant positive effect on employee performance (Y) with a calculated t-value of 2.871. Motivation (X1) and Discipline (X2) together have a significant effect on employee performance with a significance value of 0.000 < 0.05 and a calculated F value (12.129) > table F value (4.10).  

This paper examines the influence of financial education on personal financial management practices of Generation Z. A quantitative method with a survey approach was used, involving 30 Generation Z respondents (aged 17-25 years) through questionnaires and simple linear regression analysis. The results of the study indicate a significant influence of financial education on wise financial management practices. Generation Z with adequate financial education tends to be more able to budget, save, invest, and avoid impulsive debt. Conversely, the lack of financial education makes them vulnerable to unwise financial decisions. This paper highlights the importance of integrating financial education into the curriculum and self-development programs to improve literacy and healthy financial practices among Generation Z. This study also discusses the challenges faced by Generation Z in managing finances in the digital era, such as a consumptive lifestyle influenced by social media and e-commerce.

The degree of customer happiness is impacted by the location and quality of the service. Consumers will always remember favorable memories, and they are more likely to suggest the experience to others. The goal of this research is to further explore and comprehend the Analysis of Service Quality and Location on Customer Satisfaction at J&T Express ED Saqila Medan. The study's sample size was 100 people. Quantitative approaches were used in this study. The data analysis method employed in this study was purposive sampling, and the results were analyzed using a statistical formula, specifically multiple linear regression analysis with the help of the SPSS version 26 program. According to the results of this research, customer satisfaction is significantly and positively impacted by service quality. Similarly, the site also has a substantial and beneficial impact on how happy clients are. With a percentage of 51. 8%, it may be deduced that there is a strong correlation between service quality and location with customer satisfaction, and that the remaining 48. 2% may be attributed to other variables not covered in this research.

Solo Putri bridal makeup is a type of traditional makeup that requires precision, patience, and high technical skills. The level of student interest in learning reflects the extent of their interest and seriousness in understanding a learning material. This study aims to examine the influence of learning interest on the results of Solo Putri bridal makeup practice among students in the AKS Ibu Kartini Semarang Makeup Design Program, using a quantitative approach through simple linear regression. The research subjects consisted of 30 students, and the instruments used included a learning interest questionnaire and a practice results assessment sheet. Data were analyzed using normality, linearity, and simple linear regression tests. The analysis results showed a positive and significant correlation between learning interest and students' practical results. The correlation coefficient (R) value of 0.794 and the coefficient of determination (R²) of 0.630 indicate that learning interest has a significant contribution to the success of bridal makeup practice. The higher the learning interest of students, the higher the quality of practice results achieved. Therefore, learning interest is an important aspect that requires attention in practical learning. Effective learning strategies such as contextual approaches, project-based learning, and the provision of adequate practical facilities need to be implemented.

MSMEs (Micro, Small, and Medium Enterprises) are one of the main drivers of Indonesia’s economy. However, many MSMEs still face limited access to financing. One traditional Balinese culinary product that attracts tourists is ayam betutu, which represents the MSME sector. This study aims to analyze the influence of own capital, business duration, working hours, and e-commerce on the income of ayam betutu culinary MSMEs in Denpasar City, both simultaneously and partially. This research employs a quantitative method using multiple linear regression analysis. The sample was determined using purposive sampling, with criteria including MSMEs engaged in traditional culinary businesses with ayam betutu as their main product and those that utilize e-commerce in their business operations. A total of 70 ayam betutu culinary MSME actors in Denpasar City were included. The findings reveal that, simultaneously, own capital, business duration, working hours, and e-commerce have a significant effect on MSME income. Partially, own capital, business duration, and e-commerce have a positive and significant effect on income, whereas working hours do not have a significant partial effect. The implication of this study is that MSME actors need to improve their capacity in capital management, maintain business continuity, and optimize e-commerce utilization to increase income. The government is expected to support MSMEs through financial and digital literacy training, institutional strengthening, and the facilitation of mentoring programs and sustainable access to financing.

Waste management has become a critical issue in efforts to create a clean and sustainable environment, particularly in Klungkung Regency, which has seen a significant increase in waste generation following the COVID-19 pandemic. One of the local government’s initiatives to address this issue is the establishment of waste banks, including the Lestari Waste Bank in Besang Village. This study aims to analyze the influence of community participation, sustainable economic literacy, and environmental policy on the performance of the waste bank. The research was conducted in Besang Village, covering three sub-village areas: Besang Kawan, Besang Tengah, and Besang Kangin, with a total of 182 waste bank customers as respondents. A quantitative approach was employed using multiple linear regression analysis. The findings indicate that community participation significantly contributes to improving the effectiveness of the waste bank program. Furthermore, community understanding of sustainable economic principles influences individual mindsets and waste-sorting behavior. In addition, environmental policies implemented by the local government strengthen the institutional capacity of waste banks to manage waste systematically and sustainably. Therefore, the collaboration between community involvement, economic understanding, and policy support is key to the success of waste banks as a community-based waste management solution.

The purpose of this research is to analyze and identify the influence of work capability, innovative work behavior, and internal work environment on employee performance at PTPN IV Regional II Kebun Limau Mungkur. This study involved 125 respondents, consisting of all employees of PTPN IV Regional II Kebun Limau Mungkur. The sample was determined using the Slovin formula, resulting in 95 participants in the survey. Data were collected through observation, documentation, interviews, and the distribution of questionnaires using a Likert scale. The methods used to analyze the data include classical assumption tests, validity and reliability tests. Data analysis was conducted using multiple linear regression through the SPSS program. The results of this study partially (t-test) prove that work capability has a positive and significant effect on employee performance at PTPN IV Regional II Kebun Limau Mungkur. Innovative work behavior has a positive and significant effect on employee performance at PTPN IV Regional II Kebun Limau Mungkur. The internal work environment also has a positive and significant effect on employee performance at PTPN IV Regional II Kebun Limau Mungkur. Additionally, work capability, innovative work behavior, and internal work environment simultaneously have a positive and significant effect on employee performance at PTPN IV Regional II Kebun Limau Mungkur, with an Fcount value (14.283) > Ftable (2.70), and a significance value of 0.000 < 0.05.

This study aims to analyze the influence of social media, FOMO (Fear of Missing Out) behavior, and the use of e-money on the consumptive behavior of students in the Economics Education Study Program at Universitas PGRI Wiranegara. The digital era has introduced new challenges in student financial management, particularly regarding the ease of accessing information and conducting digital transactions. The research employs a quantitative approach with an explanatory research design. The population consists of all active students in the study program, with a sample of 69 respondents selected through simple random sampling. Data were collected using a Likert-scale questionnaire and analyzed using multiple linear regression. The results indicate that social media, FOMO behavior, and e-money usage have a significant influence on students' consumptive behavior, both partially and simultaneously. This research contributes to a better understanding of the factors influencing consumer behavior in the digital age and can serve as a basis for developing more effective financial literacy programs for students.

This research is motivated by the importance of human resource management through job transfers, increasing professional competence, and extrinsic motivation to improve employee performance, especially in the plantation sector. PTPN IV Regional II Kebun Limau Mungkur is a state-owned company that prioritizes AKHLAK values in its management practices. The main objective of this study is to analyze the effect of job transfers, professional competence, and extrinsic motivation on employee performance. The research approach used is quantitative associative with multiple linear regression analysis method. The population in this study were all employees of PTPN IV Regional II Kebun Limau Mungkur totaling 125 people, with a sample of 95 respondents determined by the Slovin formula. Data collection techniques were carried out through field studies, documentation, and questionnaire distribution. Data analysis was carried out by testing validity, reliability, classical assumption tests, and multiple linear regression using the SPSS program. The results of the study showed that partially, job transfers, professional competence, and extrinsic motivation each had a positive and significant effect on employee performance. Meanwhile, simultaneously the three variables also had a significant effect on employee performance. This finding emphasizes the importance of implementing appropriate HR management policies to support company productivity and sustainability.