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This study aims to identify students' learning obstacles in the process of understanding one-variable linear equations in grade VII, develop an appropriate learning trajectory using a Realistic Mathematical Education (RME) approach, and produce an effective learning design to reduce these obstacles through generative models. The research adopts a design research methodology consisting of three main stages. The first stage, preparation for the experiment, includes a literature review and analysis of teachers’ instructional practices to develop a Hypothetical Learning Trajectory (HLT) for one-variable linear equations. The second stage, design experiment, involves testing the designed learning activities through a pilot experiment and teaching experiment. The third stage, retrospective analysis, compares actual classroom observations with the initial HLT to refine and validate the learning trajectory. The research subjects include seven grade VII students in the pilot experiment and 44 students from SMP Negeri 2 Mataram in the teaching experiment. Data collection methods include tests, observations, interviews, and documentation, with retrospective analysis used to generate a validated Local Learning Trajectory (LLT). The findings reveal several epistemological obstacles experienced by students, such as difficulties in applying fundamental arithmetic concepts (addition, subtraction, multiplication, division) within the context of linear equations. Students also struggled with concept recognition, representation, and interpretation of linear equations in various forms. The developed LLT proved effective, as students demonstrated improved understanding and were able to follow the learning sequence meaningfully. Retrospective analysis confirmed that the LLT successfully addressed and reduced students’ learning obstacles in mastering one-variable linear equations.

This study aims to elaborate on the mechanism of product design, word of mouth (WOM), price perception, and product quality on purchase decisions, with brand image serving as a mediating variable. The research focuses on consumers of Ogel-Ogel, a traditional snack product from Pemalang. Utilizing a quantitative descriptive method, data were gathered from 100 respondents through purposive and accidental sampling techniques. Data analysis employed path analysis and the Sobel test to measure the strength of the mediation effect. The results reveal that, partially, all independent variables and brand image exert a positive and significant influence on purchase decisions. The most crucial finding indicates that brand image acts as an effective mediating bridge, reinforcing the transformation of physical product attributes and social recommendations into actual purchasing actions. This underscores that for MSMEs in the culinary sector, visual uniqueness and quality are insufficient without consistent brand reputation management. This research provides strategic contributions for local product managers in integrating traditional marketing elements with brand equity strengthening to navigate an increasingly competitive market.

The growth of the digital economy in the 5.0 era has changed consumer behavior, particularly among students as digital natives. This study aims to analyze the influence of Celebrity Endorsers, Product Quality, Social Media Marketing, and Influencer Credibility on Purchase Intention, with Brand Image as a mediating variable. The research focuses on students in Pemalang Regency who use the Shopee e-commerce platform. A quantitative approach was employed, with data collected from 100 respondents through purposive and accidental sampling. Data analysis was conducted using multiple linear regression, path analysis, and the Sobel test with IBM SPSS 25. The results indicate that all independent variables have a positive and significant effect on Purchase Intention. In addition, Brand Image is proven to mediate the influence of these variables. The findings suggest that enhancing quality perception and selecting credible endorsers aligned with brand values are important strategies for Shopee to increase consumer purchase intention. This study provides empirical contributions to the development of digital marketing literature.

Wood consumption in Indonesia, which is expected to reach more than 64.84 million m³ by 2025, is putting enormous pressure on forests, as evidenced by the reduction in forest area through the clearing of 96,230 hectares of forest in 2023. To reduce dependence on wood as a building material, alternative materials with comparable physical and mechanical properties are needed. Bamboo, especially laminated bamboo, was chosen because it has high tensile strength, a short harvest time, and abundant availability. This study examines the behavior of hollow section laminated bamboo beam-column connections with a glue-in-rod-bracket system to determine the ductility of the connection under unidirectional (static) loads. An experimental method was used with the independent variables of diameter and number of bolts, while the dependent variables included the moment-rotation of the connection, stiffness, strength, and ductility. The results show that the average ductility values for 4 and 6 thread rods D6, D8, and D10 mostly meet the SNI 1729 (≥1.25) and AISC 360 (rotation >0.03 rad) standards, with classifications ranging from "partially ductile" to "fully elastic." However, the 10-diameter 6-thread rod only achieved a ductility of 1.2, thus failing to meet the SNI standard. Based on the Handbook of Structural Steel Connection Design and Details, all connections fall into the non-seismic category because their ductility values are less than 3. These findings confirm the potential of laminated bamboo as an environmentally friendly construction material, while also providing technical guidelines for the design of non-seismic beam-column connections.

This study examines the integration of technology in the process of Human Resource (HR) transformation through the perspective of employee data analytics as a strategic approach to modern HR management. The primary focus of the study is to analyze the impact of the simultaneous integration of digital HR systems and organizational digital transformation on improving the efficiency of HR functions, with organizational agility positioned as a moderating variable that strengthens this relationship. In addition, the study explores the potential optimization of Artificial Intelligence (AI) technologies and predictive analytics methods, such as Bayesian Optimization, in predicting workforce dynamics, including employee attrition risk and competency development needs, while also bridging the analytical skills gap among HR practitioners. The research method employed is a systematic literature review of relevant scientific publications from 2021 to 2025, selecting sources that address digital HR transformation, HR analytics, and the application of AI in organizational contexts. The findings indicate that digital HR systems have a strong and significant effect on enhancing operational efficiency and the quality of HR decision-making, and this effect becomes more optimal when supported by a high level of organizational agility. Furthermore, AI and predictive analytics are proven to generate more accurate predictions and simplify technical complexity, making them easier for HR practitioners to adopt. This study concludes that the success of HR transformation requires a holistic approach that aligns the use of advanced technologies with organizational capabilities, human resource readiness, and ethical considerations to create sustainable organizational value.

This study aims to analyze the effect of harvest workers’ competence and the work environment on the output of Fresh Fruit Bunches (FFB) harvesting at Sei Merah Estate, PT P.P. London Sumatra Indonesia Tbk. The fluctuating productivity of harvest workers indicates the need to evaluate the factors influencing harvesting performance. Workers’ competence was measured through soft skills, general competencies, and specific competencies (hard skills), while the work environment encompassed both physical and non-physical conditions that support harvesting activities. This research employed a quantitative approach involving 60 harvest workers selected using a saturated sampling technique. Data were collected through questionnaires, observations, interviews, and documentation, and were subsequently analyzed using multiple linear regression. The results revealed that harvest workers’ competence had a positive and significant effect on FFB harvesting output, with a significance value of 0.007. The work environment also demonstrated a positive and significant effect on FFB harvesting output, with a significance value of 0.012. Simultaneously, both variables significantly affected FFB harvesting output, as indicated by an F-statistic of 40.994 and a significance value of 0.000. The coefficient of determination (R²) value of 0.590 indicates that harvest workers’ competence and the work environment collectively explain 59% of the variation in FFB harvesting output. These findings highlight the importance of enhancing harvest workers’ competencies and improving working conditions to support optimal harvesting productivity.

Millennials aged 25 to 40 are currently the largest consumer group. Their dynamic lifestyles and social demands make them highly consumptive. The ease of obtaining credit, such as loans and credit cards, through advances in financial technology (FinTech) has further accelerated this trend. Unfortunately, exposure to social media that portrays a consumptive lifestyle encourages many of them to follow trends and buy non-essential items. The lack of financial literacy among young Indonesians often makes them unaware of the consequences of debt, which ultimately erodes the financial independence that is so badly needed in this era. This study aims to prove the relationship between Financial Technology, Lifestyle, and Self-Control that influence Debt Behavior. In addition, it is seen that men and women have different levels of self-control, and this is input for researchers to add gender as a moderating variable in their research. The research method used is a mixed method, more precisely a Sequential Explanatory Design, in which quantitative data is collected and analyzed, then combined with qualitative data to explain or enhance quantitative findings. Primary data was collected through questionnaires and interviews with experts, while secondary data was collected from articles and other reference data. The population used was the community in the city of Jakarta. The sample was collected using accidental sampling techniques, and the statistical test tool used Structural Equation Modeling (SEM) with SmartPLS software.

This study aims to analyze the relationship between production techniques, selection of textile materials and the level of sustainable fashion implementation in MSMEs in the fashion sector in Indonesia. The method used in this study is a quantitative approach with an expplanatory descriptive design. Data was collected through a questionnaire distributed to MSME respondents in the fashion sector and collected 100 respondents. The variables tested in this study are knowledge of sustainable fashion, production techniques used by MSMEs and textile materials applied in production. Data analysis used validity, readiness, t-test and multiple linear regression tests. The results of the study show that production techniques have a significant influence on the level of sustainable fashion implementation, with a p-value of 0.041. Meanwhile, textile knowledge and materials did not show a significant influence on the implementation of sustainable fashion with a p-value of >0.05. The value of the determination coefficient (R2) for production techniques is very high at 0.95, which shows that production techniques are the most influential factor in the implementation of sustainable fashion in MSMEs in the fashion sector to prioritize the development of sustainable production techniques as the main step towards increasing sustainability in the fashion sector.

Tambak Mother and Child Hospital experienced a 15% decline in patient visits in 2024, involving both new and returning patients. This decline highlights the importance of patient loyalty, as loyal patients are more likely to continue using hospital services and recommend the hospital to others. This study aims to examine the effects of social media marketing and patient experience on patient loyalty, with patient engagement as a mediating variable.This study employed a quantitative causal research design. Data were collected from 190 patients using purposive sampling. Partial Least Squares–Structural Equation Modeling (PLS-SEM) was used to analyze the relationships among variables.The results indicate that social media marketing, patient experience, and patient engagement simultaneously have a significant effect on patient loyalty. Individually, social media marketing, patient experience, and patient engagement each show a positive and significant influence on patient loyalty. In addition, social media marketing and patient experience positively affect patient engagement. The findings further confirm that patient engagement mediates the relationships between social media marketing and patient loyalty, as well as between patient experience and patient loyalty.These findings suggest that hospital management should strengthen interactive communication through social media platforms, particularly Instagram, improve service efficiency by increasing staffing levels, and enhance service quality through friendly staff behavior and faster service processes. Future research is recommended to include broader samples across Mother and Child Hospitals and incorporate additional variables such as patient satisfaction, service quality, and trust.

Exclusive breastfeeding is the provision of only breast milk without any other food or drink from birth to six months of age. The practice of exclusive breastfeeding is very important in supporting infant growth and development and reducing infant morbidity and mortality. However, the coverage of exclusive breastfeeding is still not optimal, including for mothers with first-born children (first-born toddlers). This study aims to determine the determinants of exclusive breastfeeding in first-born toddlers in the work area of ​​Dewantara Health Center, North Aceh with variables of knowledge, attitude, and support for breastfeeding. This study uses a quantitative research type with a cross-sectional design. The population in this study were all mothers who had their first-born children (first-born toddlers) in the work area of ​​Dewantara Health Center, as many as 30 people. The sampling technique used total sampling so that the entire sample population was used. Data collection was carried out using a questionnaire and analyzed using the Chi-Square test. The results showed no significant relationship between maternal knowledge and exclusive breastfeeding (p=0.241), no relationship between maternal attitudes and exclusive breastfeeding (p=0.786), and no relationship between breastfeeding support and exclusive breastfeeding (p=0.850). The conclusion of this study is that knowledge, attitudes, and support for breastfeeding are not significantly related to exclusive breastfeeding in first-born toddlers. It is recommended that health workers improve breastfeeding education and support, and strengthen family support for the success of exclusive breastfeeding.

Diabetes Mellitus is one of the chronic diseases with high morbidity and mortality rates, making data-driven analysis necessary to understand patient mortality patterns. This study aims to analyze the mortality rate of Diabetes Mellitus patients based on age and length of hospitalization using a data mining approach with the K-Means Clustering method. The study employs a quantitative approach using secondary data obtained from the medical records of Diabetes Mellitus patients at Ibnu Sina Regional General Hospital, Gresik Regency, in December 2022. The dataset consists of 266 patient records with variables including age, length of stay, and final patient status. Data analysis was conducted through preprocessing stages, including data cleaning, transformation, and normalization, followed by the clustering process using the K-Means algorithm with the assistance of the RapidMiner application. The results show that patient data are divided into three clusters based on age ranges: 0–40 years, 41–55 years, and 56–90 years. The cluster with the age range of 56–90 years has the highest number of patient deaths compared to the other clusters. Meanwhile, the length of hospitalization does not show a significant effect on patient mortality. This study is expected to serve as a consideration for hospitals and health institutions in efforts to prevent and manage Diabetes Mellitus, particularly among the elderly population.

This study aims to examine the effect of the board of directors, audit committee, and public accounting firm size on corporate financial performance. The population consists of manufacturing companies in the food and beverage sub-sector listed on the Indonesia Stock Exchange and not delisted during the 2019–2023 period. The sampling technique used was purposive sampling, resulting in 33 companies selected as research samples. This research employs a quantitative approach using secondary data obtained from company financial reports published by the Indonesia Stock Exchange and official corporate websites. Data analysis was conducted using SPSS (Statistical Package for Social Science) version 25, applying multiple linear regression analysis to examine the relationships among the research variables. The results indicate that the board of directors and audit committee do not have a significant effect on financial performance. In contrast, the size of the public accounting firm has a positive effect on financial performance. These findings suggest that the quality and reputation of external auditors play an important role in enhancing corporate financial performance.  

This study examines the impact of human resource quality, as measured by indicators from the Human Development Index (HDI), on economic growth in Denpasar City, Bali. This study utilizes quantitative secondary data collected from the Central Statistics Agency (BPS) for the period 2013 to 2021. This data includes a new method for calculating average years of schooling, life expectancy at birth, per capita expenditure, and economic growth. This study uses panel data regression from five provinces in Denpasar City, Bali, applying classical assumption tests, hypothesis tests, and coefficients of determination. Individually, education level has a significant and negative effect on economic growth in Denpasar City, Bali. Health does not show a significant and negative effect on economic growth in Denpasar City, Bali. While economics has a significant and positive effect on economic growth in Denpasar City, Bali. All three independent variables simultaneously have a significant impact on economic growth in Denpasar City, Bali. The most influential variable is economics.

This study investigates (1) the impact of the Flipped Classroom model on students’ learning independence in Social Studies, (2) its effect on Social Studies achievement, and (3) its simultaneous influence on both variables among Grade VIII students at SMPN 10 Satap Liukang Tangaya. A quantitative approach was applied using a quasi-experimental method with a Non-Equivalent Control Group Design. The sample comprised 33 students, with 17 assigned to the experimental class and 16 to the control class. Data collection instruments included a learning independence questionnaire, Social Studies achievement tests, observation sheets, and documentation. The data were analyzed through descriptive statistics, normality and homogeneity tests, paired samples t-tests, independent samples t-tests, and MANOVA using SPSS. The findings reveal that the Flipped Classroom model significantly enhances students’ learning independence, as evidenced by independent samples t-test results (Sig. < 0.05). It also significantly improves Social Studies learning outcomes, indicated by higher posttest scores in the experimental class compared to the control class (Sig. < 0.05). Furthermore, MANOVA results confirm a significant simultaneous effect on both learning independence and achievement (Sig. < 0.05). These results demonstrate that the Flipped Classroom model effectively improves the overall quality of Social Studies instruction for Grade VIII students.

Village-Owned Enterprises (BUMDes) are established to support the improvement of the local economy. One of the recurring challenges faced by BUMDes is capital availability, which is essential for business expansion and achieving shared objectives. This study aims to analyze the effect of cognitive bias on investment decisions through reward-based investment balance as a mediating variable. The study employed a sample of 165 BUMDes distributed across the Pati Residency, using a combination of purposive sampling and cluster sampling, where the selected BUMDes represented each district and involved investors from the local community or community groups. Data were collected from BUMDes located in five districts within the Pati Residency, and the analysis was conducted using SMART PLS. The results indicate that cognitive bias has a direct and significant effect on community investment decisions as well as on reward-based investment balance. Furthermore, reward-based investment balance was found to have a direct effect on investment decisions. The findings also confirm that reward-based investment balance mediates the relationship between cognitive bias and investment decisions.

The construction sector is an industry with a high level of work accident risk due to its dynamic and complex work characteristics. This study aims to examine the application of the Occupational Health and Safety (OHS) System and evaluate its effectiveness in mitigating risks at the Health Facility Building Construction Project (Project X) in Fakfak Regency. The research method used is a descriptive-analytical quantitative approach with purposive sampling of 25 respondents, including executors, supervisors, and field workers. Risk analysis was conducted using the Failure Modes and Effects Analysis (FMEA) method by measuring Severity, Occurrence, and Detection parameters to produce a Risk Priority Number (RPN). The results show that RPN values range from 52.35 to 452.30. The highest risk was found in the variable of limited safety signage in hazardous locations (RPN 452.30), which falls into the very high category. Additionally, 10 high-risk variables and 9 medium-risk variables were identified, dominated by technical, operational, and management factors, such as the use of heavy equipment by uncertified operators and weak implementation of Standard Operating Procedures (SOP) and OHS audits. This study concludes that the application of OHS in Project X is still reactive and requires strengthening risk-based safety management systems as well as improving workforce competence to achieve zero accident conditions.

This study to analyze the effect of Non Performing Loan (NPL), Capital Adequacy Ratio (CAR), and Net Interest Margin (NIM) on Return on Assets (ROA) with Operating Expenses to Operating Income (BOPO) as an intervening variable at PT Bank Rakyat Indonesia (Perser) Tbk. This research employs a quantitative approach using secondary data obtained from the annual financial statements of Bank BRI for the period 2015-2024. The data analysis method used in this study is Structural Equation Modeling (SEM) based on Partial Least Squares (PLS), which allows the examination of both direct and indirect relationship among variables in the research model. The independent variables consist of NPL, CAR, and NIM, the intervening variable is BOPO and the dependent variable is ROA. The results indicate that NPL has a positive effect on BOPO, suggesting that higher credit risk leads to increased operational costs. CAR and NIM have a negative effect on BOPO, indicating that adequate capital and effective interest income management improve operational efficiency contributes to increased bank profitability. The findings also confirm that BOPO mediates the relationship between NPL, CAR, and NIM on ROA. This study is expected to contribute to the academic literature on banking financial management and provide practical insights for bank management in enhancing operational efficiency and sustainable profitability.

This Research and Development (R&D) study aimed to develop a project-based learning (PjBL) hyper-content e-module to support students’ Self-Regulated Learning (SRL) in higher education. Utilizing the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation), the research addressed the need for innovative digital resources in the Learning Resource Center Management Course at Educational Technology Study Program Lambung Mangkurat University. Unlike previous studies that focused on isolated variables, this research integrates development, PjBL implementation, and SRL impact analysis. The hyper-content e-module incorporates multimodal features, including audio, video, infographics, and QR codes, to facilitate independent exploration. Validation by experts yielded high feasibility scores: 89% from material experts, 87% from media experts, and 88% from instructional design experts. Through qualitative content analysis conducted during the analysis and evaluation phase, the results confirmed that the PjBL-integrated e-module effectively improved students' learning independence by providing structured, project-oriented digital pathways. The results confirm that the e-module is a feasible and effective tool for modernizing instructional delivery. This study contributes an innovative framework for digital resource management and provides a foundation for future applied research in enhancing educational quality through self-regulated, technology-enhanced learning environments.

This study was carried out at RS Hj. Fatimah Sulhan in Kabupaten Demak, Jawa Tengah, which functioned as both the research site and the moderating context of the investigation. The research aims to examine how personal compensation, Organizational Citizenship Behavior (OCB), and organizational commitment influence employee work performance within the hospital environment. A quantitative research design was implemented, involving 150 employees selected as respondents through appropriate sampling procedures. Data were collected using structured questionnaires and subsequently analyzed using Structural Equation Modeling (SEM) with the AMOS software to test the hypothesized relationships among variables. The findings reveal that personal compensation, OCB, and organizational commitment each exert a positive and statistically significant impact on employee performance. These results indicate that fair and competitive compensation, strong voluntary work behaviors, and a high level of commitment to organizational goals collectively enhance productivity, service effectiveness, teamwork quality, and overall institutional performance in the healthcare setting.

Dermatitis is a common skin disease that can be influenced by various internal and external factors. According to the Puskesmas Sungai Iyu report for 2023-2024, there were 180 cases of dermatitis. This study aims to analyze the factors associated with dermatitis symptoms among shrimp pond workers in Seneubok Aceh Village, Bendahara District, Aceh Tamiang Regency. The independent variables studied include contact duration, years of employment, personal hygiene, and the use of Personal Protective Equipment (PPE), while the dependent variable is dermatitis symptoms, including itching, redness, and rashes. The method used was a correlational analytic study with a cross-sectional design, involving 54 respondents from a total of 112 shrimp pond workers in the village as samples. The population in this study consists of all shrimp pond workers in Seneubok Aceh Village, Bendahara District, Aceh Tamiang Regency. The results show that there is no significant relationship between  the use of PPE (p-value = 0.047) and personal hygiene (p-value = 0.002) with dermatitis symptoms. In conclusion, factors associated with dermatitis symptoms in shrimp pond workers are personal hygiene, and the use of PPE. It is recommended that shrimp pond workers increase the use of PPE, practice good personal hygiene, and limit the duration of contact with pond water to reduce the risk of dermatitis.