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This study aims to analyze the influence of work environment and job satisfaction on the performance of warehouse employees at PT J&T Express. Work environment and job satisfaction are important factors that are thought to increase productivity and work efficiency. The research method used is quantitative with a survey approach, data collection through questionnaires announced to 100 warehouse employees of PT J&T Express using a purposive sampling technique. The data obtained were analyzed using linear multiple regression to test the partial and simultaneous effects of independent variables on the dependent variable. The results of the study indicate that work environment and job satisfaction have a significant positive effect on the performance of warehouse employees. This finding indicates that improving the quality of the work environment and job satisfaction can be an effective strategy in improving employee performance at PT J&T Express. This study is expected to provide practical contributions to company management in managing human resources to increase company competitiveness.

This study aims to analyze the effect of workload, leadership style, and compensation on employee performance at PT Ungaran Sari Garment, Semarang Regency. This quantitative research involved 109 respondents selected using the Slovin formula and purposive sampling. Data were collected using Likert-scale questionnaires and analyzed through multiple linear regression with SPSS 21. The results show that workload and compensation positively and significantly influence employee performance, while leadership style has no significant effect. Simultaneously, all three variables significantly affect performance. These findings indicate that appropriate workload management and a fair compensation system are vital for improving employee performance.

This study aims to analyze the influence of relationship marketing and e-servicescape on customer loyalty of Tokopedia users in Medan City. The rapid development of digital technology encourages Tokopedia to build long-term relationships with customers while creating a convenient and secure online shopping experience. This research employed a quantitative method with an associative approach, using data collected through questionnaires distributed to 100 Tokopedia users in Medan City and analyzed using multiple linear regression. The results show that relationship marketing has a positive and significant effect on customer loyalty, where effective communication, responsive services, and loyalty programs such as Tokopedia Points increase customer trust and emotional attachment. In addition, e-servicescape also has a positive and significant effect on customer loyalty through an attractive interface, easy navigation, and reliable transaction security. Simultaneously, both variables make a substantial contribution to building customer loyalty toward Tokopedia. Thus, effective relationship marketing strategies and high-quality digital environments are crucial factors in maintaining customer loyalty and enhancing Tokopedia’s competitiveness in the increasingly intense e-commerce industry.

One of the various salted egg products with smoking methods is smoked salted eggs which have a distinctive aroma and taste. This study aims to determine the effect of smoking and storage time  and its  interaction on  smoked salted  eggs  with on  physical  and  chemical  properties, total microbes as well. This research is experimental by using ducks eggs and a mixture of coconut shells and fibers, and rice husks as smoke fuel. The experimental design used is Randomized Complete Block Design (RCBD) with a 3x5 factorial pattern. As the first factor (P) is the smoking time which consists of P0= 0 hours, P1= 12 hours, P2= 15 hours while the second factor (H) is the storage time which consists of H0= 0 days, H1=7 days, H2= 14 days, H3= 21 days, and H4= 28 days. The variables observed were egg weight, albumen and yolk pH, moisture content, protein, and total microbial colony of smoked salted eggs. The results of the study were that the smoking time of 15 hours resulted in the lowest weight of smoked salted eggs (56.13g), while the storage time decreased the pH of albumen. Smoked salted duck eggs have a moisture content of 58.435-67.149%. The length of smoking increases the protein level. Salted duck eggs with a smoking time of 15 hours have the highest protein content, which is 15.39%. however, the duration of smoking and storage did not affect the total microbes of smoked salted eggs and there was no interaction between the duration of smoking and the duration of storage on the physical, chemical and total microbial properties.

This study aims to analyze the factors that influence students' interest in continuing their education to college using a machine learning approach. Data was collected through an online questionnaire completed by 727 students between July 27 and August 22, 2025, covering 23 variables consisting of respondent identity (gender, grade level, major) as well as internal and external factors such as parental support, learning motivation, and preferred type of college. The data preparation stage was carried out through column cleaning, deletion of empty data, encoding of categorical variables, and division of the dataset into 80% training data and 20% test data. The Naive Bayes algorithm of the CategoricalNB type was used because it was suitable for the categorical nature of the data. The evaluation results showed that the model was able to predict student interest with 96% accuracy. For the class of students interested in continuing their studies, the precision, recall, and F1-score values were above 0.95, while the performance in the class of students who were not interested was slightly lower due to the smaller amount of data. These findings show that Naive Bayes is proven to be effective and reliable in classifying students' interest in continuing their studies and can be the basis for decision-making in designing more targeted educational strategies.

This study aims to determine the influence of the implementation of the Independent Curriculum management and teacher teaching strategies on improving student character at SMK Negeri 1 Sangatta Utara. This study was field research with a quantitative approach. Data collection techniques used questionnaires, observation, and documentation. The study population was all 230 11th-grade students at SMK Negeri 1 Sangatta Utara, with a sample of 115 respondents drawn using Suharsimi Arikunto's formula. Data analysis used multiple linear regression. The results showed that the implementation of the Independent Curriculum management had a significant effect on improving student character by 60.85%, while teacher teaching strategies had a 15.95% effect. The coefficient of determination (R²) of 0.768 indicates that the two independent variables together contributed 76.8% to student character improvement, while the remaining 23.2% was influenced by factors outside the study. Therefore, it can be concluded that the implementation of the Independent Curriculum management has a more dominant influence than teacher teaching strategies on student character development.

This study is intended to investigate the impact of Digital Marketing and Electronic Word of Mouth (e-WOM) on Purchase Decisions, with Brand Image as a mediating variable in Fore Coffee consumers in Surabaya. This study applied a quantitative approach through causal methods, involving 100 respondents who had made transactions at Fore Coffee Sulawesi Street. The data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with the help of SmartPLS 4 software. The findings of the study show that Digital Marketing and e-WOM have a positive and significant effect on Brand Image and Purchase Decisions. Brand image also has a significant influence on Purchase Decisions. In addition, Brand Image has proven to be a partial mediator, so Digital Marketing and e-WOM continue to have a direct influence, but the effect increases when through Brand Image. The research model produced an R² value of 0.671, which indicates good explanatory ability of the model. Overall, this study emphasizes that strengthening digital marketing strategies, managing e-WOM, and building a consistent brand image is very important in improving consumer purchasing decisions of Fore Coffee.

Environmental cleanliness is a critical factor in the effective management of nature-based tourist destinations, as it strongly shapes tourists’ perceptions of destination quality, comfort, and overall attractiveness, as well as their intention to visit and revisit. This study aims to examine the extent to which environmental cleanliness influences tourists’ visit intention in the Harau Valley tourism area (Lembah Harau), Kanagarian Tarantang, Harau District, Lima Puluh Kota Regency. The research employed a quantitative survey method by distributing structured questionnaires to 50 tourists during their visit to Lembah Harau. The variables measured include tourists’ perceptions of environmental cleanliness, such as waste management practices, sanitation conditions, and the availability of waste disposal facilities, as well as visit intention indicators, including intention to return and willingness to recommend the destination to others. The findings highlight the importance of maintaining a clean environment to enhance tourists’ positive behavioral intentions. The implications of these findings suggest that destination managers and local government authorities should consistently enforce cleanliness policies, strengthen integrated waste management systems, and provide adequate sanitation facilities to enhance the attractiveness of Lembah Harau and support sustainable tourism development, without neglecting the need for continuous monitoring, evaluation, and improvement in these areas.

This study aims to investigate the factors influencing the continuance intention of Al-Kautsar Senior High School students in using metaverse-based learning media. The background of this research lies in the rapid adoption of immersive technologies in education, while students’ levels of acceptance have not yet been fully understood. The objective is to identify the antecedents of satisfaction, which subsequently influence continuous intention. The research model examines the effects of perceived interactivity, perceived sociability, perceived enjoyment, perceived ease of use, perceived security, and social influence on satisfaction. A quantitative approach was employed by distributing questionnaires to students, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that satisfaction is a very strong and statistically significant predictor of continuous intention to use metaverse applications (β = 0.716, p < 0.001). The six hypothesized antecedent variables were not found to have a significant individual effect on satisfaction. In conclusion, for digital native students at Al-Kautsar Senior High School, factors such as ease of use, interactivity, and enjoyment have shifted from being drivers of satisfaction to becoming basic expectations (hygiene factors). Satisfaction itself emerges as the primary determinant, likely influenced by more substantive elements such as content quality or pedagogical design rather than merely the technical features of the platform.

This study aims to analyze the influence of Meta Ads, price, and product quality on the online purchase intention of digital products marketed through the Instagram account @cuantanpakamera. This study employs a quantitative approach. The population of this study consists of all 31,800 followers of the @cuantanpakamera Instagram account. The sampling technique used was purposive sampling, involving 125 respondents. Data analysis was conducted using multiple linear regression aided by the Statistical Package for Social Sciences (SPSS) 22.0 for Windows. The results indicate that Meta Ads, price, and product quality variables have a positive and significant effect on online purchase intention. Meta Ads was identified as the most dominant factor influencing online purchase intention. The coefficient of determination (R²) value of 0.663 indicates that the independent variables are able to explain 66.3% of the variation in online purchase intention, while the remaining 33.7% is explained by other factors such as consumer trust, brand awareness, and so forth. This study emphasizes the importance of implementing effective digital advertising strategies and consistent product quality management to enhance consumer purchase intention in the era of social media-based marketing.

This study investigates the impact of GeoGebra-assisted collaborative learning on students' understanding of function graphs. Function graphs are fundamental in mathematics education, yet many students struggle to grasp the relationships between variables, primarily due to traditional teaching methods that focus on procedural skills rather than conceptual understanding. To address this challenge, the study incorporates GeoGebra, a dynamic mathematics software, alongside collaborative learning strategies. The research utilizes a quasi-experimental design involving high school students who had previously struggled with function graphs. The results demonstrate that the experimental group, which engaged in GeoGebra-assisted collaborative learning, showed a significant improvement of 27% in their post-test scores, compared to just a 6% improvement in the control group using traditional methods. The study highlights the effectiveness of GeoGebra in fostering a deeper conceptual understanding of mathematical functions by enabling students to visualize and manipulate graphs interactively. Additionally, collaborative learning encouraged peer interaction, reinforcing the learning process and promoting better problem-solving skills. The findings suggest that combining interactive tools like GeoGebra with collaborative learning techniques can enhance students’ mathematical comprehension, leading to improved engagement and performance in mathematics education.

This study aims to analyze the effect of teamwork, workload, and work discipline on the work productivity of employees at PT Sejin Fashion Indonesia Pati. The study used a sample of 94 respondents determined using proportionate stratified random sampling. Data collection was conducted using questionnaires and analyzed using multiple linear regression through SPSS version 25, including validity and reliability tests, t-tests, F-tests, and determination coefficients. The results show that: 1) teamwork has a positive and significant effect on employee productivity; 2) workload has a positive and significant effect on employee productivity; and 3) work discipline has a positive and significant effect on employee productivity; 4) teamwork, workload, and work discipline have a simultaneous effect on employee productivity. Work discipline is the most dominant variable in increasing employee work productivity. These findings imply that strengthening teamwork, adjusting workloads, and improving employee discipline are important strategies for companies to increase employee work productivity.

Flooding is one of the most recurrent natural disasters in Central Java Province, particularly during the rainy season. Diverse geographical characteristics, high rainfall intensity, and rapid urban development contribute to the region’s high vulnerability to flood hazards. According to the Central Java Statistics Agency, a total of 414 flood events and 407,784 affected victims were recorded between 2019 and 2021. This study aims to develop a web-based Geographic Information System (GIS) capable of mapping the spatial distribution and impact levels of floods across Central Java. The methodology includes collecting flood event data from the Central Java Statistics Agency, processing spatial data such as administrative boundary shapefiles, performing attribute integration between spatial and non-spatial datasets, and creating thematic maps using QGIS. The visualization outputs were exported into an interactive web format using the qgis2web plugin and subsequently integrated into a website developed with HTML, CSS, and JavaScript. The results show that the GIS system successfully visualizes flood-prone areas, identifies regions with high flood intensity, and enables users to explore detailed information through interactive digital maps. Additional website features—such as historical flood data, statistical summaries, and descriptive impact indicators—enhance the system's usefulness for disaster analysis. This study demonstrates the crucial role of GIS in supporting disaster mitigation, spatial planning, and policy evaluation related to flood management. Future research is recommended to incorporate more recent datasets and additional non-spatial variables such as rainfall intensity and floodwater depth to improve the system’s analytical accuracy and comprehensiveness.

The development of information technology marks the beginning of digitalization in marketing. In response to this, a company must determine their strategy to increase purchase decision. One of the strategies a company must do to increase public awareness is by applying online marketing. This research mainly focuses on @tasyafarasya’s Instagram account and is aimed to analyze the influence of celebrity endorsement and electronic word of mouth on purchase decision on Instagram. This research was a quantitative descriptive with 3 variables: celebrity endorsement, electronic word of mouth and purchase decision. The techniques used in collecting the data were observation and questionnaire using purposive sampling to get 100 respondents. Data was analyzed using linear regression analysis, determination coefficient and hypothesis test. The results of linear regression analysis showed that Y = 3.490+0.179X1+ 0.572X2+e. The determination coefficient was 0.494=49.4%. The t-calculation of celebrity endorsement showed 2.169>1.985 which means that there was a significant effect of celebrity endorsement on purchase decision, Meanwhile, the t-calculation of electronic word of mouth showed 5.602>1.985 which means there was a significant effect of electronic word of mouth on purchase decision. The F-calculation of celebrity endorsement and electronic word of mouth showed 49.251>3.090 which means that there was a significant effect of celebrity endorsement and electronic word of mouth on purchase decision. Based on the research, it can be concluded that celebrity endorsement partially has positive effect on purchase decision; electronic word of mouth partially has effect on purchase decision; and celebrity endorsement and electronic word of mouth simultaneously have positive effect on purchase decision.  

This research investigates the execution of data-informed and inclusive regional development planning within the Regional Development Planning Agency (Bappeda) of Sidoarjo Regency, concentrating on four analytical aspects: data integration and management abilities, the efficiency of participatory processes, technical and institutional obstacles concerning interoperability, and capacity-building strategies for facilitators tasked with translating public aspirations into planning priorities. The study is positioned within the national framework to establish evidence-based and participatory planning in reaction to the growing complexity regional development. Despite Bappeda Sidoarjo implementing multiple data platforms and participatory channels such Musrenbang forums, online submission systems, and sector-specific information systems the results indicate that issues like data fragmentation, insufficient digital literacy, and ineffective follow-up mechanisms continue to impede planning effectiveness. Employing qualitative methodology that includes in-depth interviews, observation, and document review, the research reveals that data integration has not reached single source of truth because of the lack of a cohesive data architecture and compatible standards among government entities. Participatory methods have increased inclusivity, but the quality of proposals and verification processes is still variable, hindering the incorporation of grassroots feedback into planning priorities. Moreover, the ability of facilitators the subdistrict and village levels is crucial in determining the quality of the compiled proposals. The research ends by highlighting the importance of improved data governance, increased actor capability, revised participatory processes, and clear follow-up mechanisms. Suggestions encompass constructing a unified data framework, offering ongoing technical training, standardizing digital Musrenbang processes, and establishing publicly available proposal-tracking system integrated within the yearly planning cycle.

After achieving success with the #LoveAvoskinLoveEarth initiative, Avoskin continues its efforts by launching a new eco-friendly campaign called #MulaiDariMejaRias. In this campaign, Avoskin invites skincare product users to be more careful in choosing care items, and to use appropriate products for simplicity and sustainability. Brand image plays a very important role in marketing its products. One way to build a positive view in the community is through campaign activities. This study aims to analyze the impact of the message from the #MulaiDariMejaRias campaign via Instagram @avoskinbeauty, assess Avoskin's Brand Image related to the campaign, and evaluate the influence of public relations messages in the #MulaiDariMejaRias campaign on Avoskin's Brand Image on Instagram. The theory applied in this study refers to Messages from Perloff (2017), Soemirat, Soleh & Ardianto (2018) regarding brand image variables. The approach used in this study is a quantitative approach with a survey method to 86 respondents of Instagram followers @avoskinbeauty, using a random sampling technique. The research results showed a 41% impact of the #MulaiDariMejaRias public relations campaign message on Avoskin's brand image on Instagram. Furthermore, the #MulaiDariMejaRias campaign message was emotionally and linguistically effective, and the campaign successfully improved brand image through audience attitudes.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in Indonesia’s economy, especially in Bantul Regency, where they significantly contribute to the Gross Regional Product(GRDP) and job creation. Despite a rise in MSMEs numbers from 2021 to 2024, their long-term viability is hindered by issues like insufficient funding, inadequate accounting skills, and underutilization of e-commerce platforms. This research investigates how businesses, accounting knowledge, and e-commerce adoption impact MSME sustainability in Bantul Regency. Employing a quantitative method, it collected primary data via questionnaires from 100 MSME operators selected through purposive sampling. Analysis involved multiple linear regression. Findings indicated that business capital had no significant influence on sustainability, while accounting knowledge and e-commerce use positively and significantly boosted it. The R2 value of 29% show that these factors collectively explain 29% of MSME sustainability variance, with the remaining 71% attributed to external variables. The study highlights the need to enchane accounting education and digital tools to boost MSME competitiveness and resilience.

Urban poverty remains a complex development challenge in Indonesia, including in Jambi City. This study aims to examine the influence of education level and unemployment rate on the poverty level in Jambi City. A quantitative approach was employed using secondary cross-sectional data at the sub-district level for the year 2024 obtained from the Central Bureau of Statistics. The dependent variable is the poverty rate, while the independent variables consist of the open unemployment rate and education level, proxied by the percentage of the population with at least secondary education (senior high school or equivalent). Data were analyzed using multiple linear regression with the ordinary least squares (OLS) method. The results indicate that the unemployment rate has a positive and statistically significant effect on poverty in Jambi City. Meanwhile, the education variable shows a positive but statistically insignificant effect on poverty. These findings suggest that unemployment is a dominant factor influencing urban poverty, whereas improvements in education alone have not been sufficient to reduce poverty without adequate job creation. The study highlights the importance of integrating education policies with employment-oriented economic development strategies. The results are expected to provide empirical evidence to support local governments in formulating more effective and integrated poverty alleviation policies at the urban level.  

The development of digital technology has brought changes to the learning process in schools, so that the use of digital media has become one of the efforts to increase students' interest in learning. This study aims to determine the effect of digital media on students' interest in learning at Budisatrya Private High School. This study uses a quantitative approach with a survey method. The research subjects were 10th grade students at Budisatrya Private High School with a total of 32 respondents. The research instrument was a Likert scale questionnaire consisting of 9 statements for the digital media variable and 7 statements for the student learning interest variable. Data analysis techniques included validity testing, reliability testing, normality testing, and simple linear regression analysis. The results showed that all statement items were valid and reliable. Normality testing showed that the data was normally distributed. The regression analysis results showed a significance value of 0.003, which is less than 0.05, so it can be concluded that digital media has a significant effect on student learning interest at Budisatrya Private High School. This study is expected to be a consideration for teachers and schools in optimizing the use of digital media in the learning process.

This study aims to analyze the influence of emotional intelligence and spiritual intelligence on the performance of Generation Z employees, with employee engagement as a mediating variable in the hybrid work era. The phenomenon of changing work patterns due to technological developments and the global pandemic has created a new work model that demands adaptive skills and emotional and spiritual balance within individuals. Generation Z, known for being technologically savvy but prone to digital fatigue, requires internal support in the form of emotional and spiritual intelligence to increase work engagement and optimal performance. This research method used a quantitative approach, collecting data through questionnaires from 120 Generation Z employees in various industrial sectors implementing a hybrid work system. Data analysis was conducted using Structural Equation Modeling (SEM). The results showed that emotional intelligence and spiritual intelligence have a significant positive effect on employee engagement and performance. Furthermore, employee engagement was shown to mediate the relationship between these two forms of intelligence and performance. These findings emphasize the importance of developing emotional and spiritual dimensions in human resource management to address the dynamics of the modern workplace.