The Effectiveness of Service Quality on Room Occupancy Rates at Le Meridien Bali Jimbaran

This study aims to determine the quality of service provided to guests staying at Le Meridien Bali Jimbaran and the effectiveness of service quality on the room occupancy rate achieved at Le Meridien Bali Jimbaran. The methods used to collect data, there are 6 methods, namely: observation, interviews, questionnaires, documentation, and literature studies. The analysis techniques used, namely: a. Quantitative Analysis, namely: 1) Analysis techniques to analyze quantitative data, using descriptive statistical techniques, namely statistical techniques that discuss the collection, processing, presentation, and calculation of values ​​​​from data described in tables or diagrams, 2) T-test for two paired samples (Paired-samples T Test) namely testing the effectiveness of service quality on hotel occupancy achievements. b) Qualitative descriptive analysis techniques to explain the results of qualitative data analysis and help draw conclusions about the research results from the process or event. Based on the analysis results, it shows that the quality of service provided to guests at Le Meridien Bali Jimbaran is very good with a value of 4.48. Meanwhile, the quality of service provided to guests has a real or significant impact on increasing the achievement of room occupancy rates at Le Meridien Bali Jimbaran, which can be seen from the calculated t (3,888) which is greater than the t-table (2,2010), which is in the rejection area of ​​Ho and H1 is accepted. This means that the quality of service provided to guests has a very effective impact on increasing the achievement of room occupancy rates at the Le Meridien Bali Jimbaran hotel

The Influence of Job Satisfaction on Employee Performance and Turnover Intention Through Job Happiness as a Mediating Variable

This study aims to analyze the effect of job satisfaction on employee performance and turnover intention with job happiness as a mediating variable. The study was conducted on Tunggak Semi “Bamboo Handicraft” employees with a total of 135 respondents, selected using a saturated sampling technique. The data collection method used a Likert scale questionnaire distributed online. Data analysis was carried out using path analysis and the Sobel test. The results showed that job satisfaction had a positive and significant effect on employee performance, job satisfaction had a negative effect on turnover intention, job happiness had a positive effect on employee performance, job happiness had a negative effect on turnover intention, job satisfaction had a positive effect on job happiness, job happiness mediated the effect of job satisfaction on employee performance, and job happiness mediated the effect of job satisfaction on turnover intention. These findings provide important implications for human resource management in efforts to improve employee retention and work performance

An Ergonomic Evaluation of Mosque Ablution Areas (Shadirvans): A User Perception Study

Mosque ablution areas (shadirvans) play a critical role in supporting ritual purification; however, their design is largely unstandardized and rarely evaluated from an ergonomic perspective. This study investigates the effectiveness of existing shadirvan designs by assessing user perceptions of comfort, safety, hygiene, and usability. A questionnaire-based survey was administered through structured interviews with 200 male users across 15 mosques in Istanbul, Türkiye. Fourteen Likert-scale items were used to evaluate key design and functional aspects of shadirvans. Descriptive analyses and multivariate analyses of variance (ANOVA) were conducted to examine the effects of demographic factors and mosque-specific design characteristics on user perceptions. The results indicate that while shadirvans are generally preferred over alternative ablution solutions, their performance is inconsistent and often insufficient. Common problems were identified in footwear management, water splashing control, and the organization of wet and dry zones. Traditional features such as shared clogs were largely perceived as uncomfortable and unhygienic. Statistical analyses revealed that user perceptions were predominantly influenced by the mosque itself, rather than by demographic characteristics, highlighting the strong impact of design variability. These findings provide empirical evidence that the absence of standardized design guidelines leads to significant differences in usability and user satisfaction. The study underscores the need for evidence-based, user-centered design standards to improve comfort, hygiene, and safety in mosque ablution facilities

The Perspective of Islamic Economic Philosophy, Management, and Investment Decisions in Critique of Conventional Systems

This article examines the critique of conventional economic and strategic management paradigms and extends the discussion by integrating Islamic investment decision making. The study is conducted through library research by drawing on core books in Islamic finance and international journal articles on governance, investor behavior, Shariah markets, and portfolio decision making. The findings indicate that conventional systems are largely grounded in profit maximization, instrumental rationality, and value-neutral assumptions, making them prone to inequality, risk shifting, speculation, and the neglect of moral responsibility in decision processes. In contrast, the Islamic perspective regards economic, strategic, and investment activities as a trust that must be managed within the framework of justice, public welfare, blessing, and maqasid al-shariah. Ontologically, human beings are viewed as caliphs; epistemologically, decisions are formed through revelation, reason, and empirical experience; and axiologically, investment and organizational management must conform to trustworthiness, transparency, risk sharing, prudence, and moral-spiritual accountability. This integration offers a more holistic paradigm for organizational management and investment decision making, since it evaluates not only financial outcomes but also process quality, contractual justice, social impact, and ethical accountability

Analysis of Commercial Bank Performance Dynamics Based on KBMI1–KBMI4 Using a Panel ECM Approach

This study aims to analyze the performance dynamics of commercial banks in Indonesia based on KBMI1, KBMI2, KBMI3, and KBMI4 groups using a dynamic panel Error Correction Model (ECM) approach. The data used consist of monthly panel data covering the period from June 2025 to January 2026. The ECM model is employed to examine both short-term and long-term relationships among variables affecting bank performance, while also capturing the adjustment process toward long-run equilibrium. The results indicate that there is a long-run equilibrium relationship between the variables studied and bank performance across all KBMI groups. The Error Correction Term (ECT), which is significant and negatively signed, suggests that when short-term disequilibrium occurs, the system will adjust back toward long-term equilibrium. This finding implies that the model used is appropriate in capturing the adjustment dynamics of banking performance. In the short run, several variables exhibit varying effects on bank performance across KBMI groups. These differences in responses reflect heterogeneity in behavior among bank groups, where banks in higher KBMI categories tend to demonstrate greater stability compared to those in lower KBMI groups. Furthermore, the estimation results show that the dynamic panel model with the ECM approach is capable of explaining variations in bank performance reasonably well, making it relevant for analyzing the banking sector. Overall, this study concludes that the performance of commercial banks in Indonesia is influenced not only by short-term factors but also significantly determined by long-term equilibrium relationships. The ECM approach proves to be effective in capturing these dynamics, particularly in distinguishing characteristics across KBMI groups

Analysis of Traffic Performance and Handling Scenarios in the Malang Station Area, Kota Baru

The Malang Kota Baru Station area is currently experiencing traffic performance problems characterized by high delays and low speeds, especially on the Trunojoyo 1 Road and Trunojoyo 2 Road sections. This condition is influenced by high side obstacles in the form of on-street parking and loading and unloading activities. This study aims to analyze the performance of the existing road network and formulate effective traffic management and engineering scenarios in improving regional traffic performance. The analysis was carried out by modeling using PTV Vissim software through the calibration and validation stages using the Geoffrey E. Havers (GEH) statistical test. The results of the analysis of existing conditions showed an average delay of 168 seconds, network speed of 13.6 km/h, total mileage of 24,120 kend-km, and total travel time of 1,774 vehicles/hour, which indicates that the performance of the road network is in the poor category. Improvement efforts are carried out through several traffic management and engineering scenarios, including moving on-street parking to off-street, repairing pedestrian facilities, adding signs and repairing road markings, as well as regulating the separation of access in and out of goods and passengers. The results of the proposed scenario simulation showed an improvement in road network performance, namely an increase in network speed to 22.04 km/h, a decrease in average delay to 90.91 seconds, a decrease in total travel time to 1,160.59 vehicles/hour, and an increase in total mileage to 25,574 kend-km. Thus, the proposed traffic management and engineering scenario has proven to be effective in improving traffic performance in the Malang Kota Baru Station Area

The Influence of Social Media Marketing, Coffee House Brand Experience, Brand Equity and Customer Relationship on Repurchase Intention on Janji Jiwa

The coffee shop industry in Indonesia is experiencing rapid growth, driven by lifestyle changes and increasing domestic coffee consumption. Janji Jiwa, as one of the leading local coffee brands, faces challenges in maintaining consumer loyalty amid intense market competition. This study aims to examine the influence of Social Media Marketing, Coffee House Brand Experience, Brand Equity, and Customer Relationship on the Repurchase Intention of Janji Jiwa consumers, particularly through the Instagram platform. A quantitative research method was employed, with data analyzed using PLS-SEM. Data were collected through questionnaires distributed to active Janji Jiwa customers. The results indicate that Social Media Marketing has a significant positive influence on both Brand Equity and Customer Relationship, which ultimately affect Repurchase Intention. However, the variable Coffee House Brand Experience does not have a significant impact on Repurchase Intention for Janji Jiwa. This research contributes to a deeper understanding of the importance of integrating digital marketing strategies with brand experience and customer relationships in enhancing consumer loyalty

Relative Predictive Accuracy of Machine Learning-Enhanced Long Memory Volatility Models for Modeling Nigeria Energy Data

This study investigates the relative predictive efficacy of machine learning-augmented long memory volatility models in analyzing Nigeria's energy statistics from January 1960 to December 2024. Utilizing monthly energy pricing information sourced from the Central Bank of Nigeria, the research employs thorough econometric and computational methods to evaluate the persistence of volatility, significant structural changes, and long-term dependencies existing within the energy data of Nigeria. Initial assessments show that raw energy data display non-stationarity, structural volatility, and clustering phenomena, with the Augmented Dickey-Fuller, Phillips-Perron, and KPSS tests affirming non-stationarity in the level data and stationarity in the returns data. The analysis of structural breaks utilizing the ruptures algorithm discovers eight notable breakpoints that align with key policy changes, worldwide oil crises, and organizational transformations in Nigeria’s energy sector. To represent the noted persistence and long memory, established econometric models such as ARFIMA, FIGARCH, and HYGARCH are estimated and then combined with Artificial Neural Networks (ANN) and Support Vector Regression (SVR). The outcomes demonstrate that hybrid models significantly exceed the performance of their isolated versions, with ARFIMA–ANN and FIGARCH–ANN showing the lowest Mean Squared Errors at 0.034 and 0.035 respectively. The ANN consistently shows a greater capability to capture nonlinear volatility patterns, while SVR demonstrates a moderate level of success. The results highlight that integrating long-memory stochastic models with machine learning frameworks provides strong predictive performance for complex energy series that depend on different regimes. These findings have significant consequences for the formulation of energy policies, management of volatility, and investment strategies in Nigeria's transforming energy sector. The study concludes that econometric models enhanced by machine learning are vital for developing adaptable forecasting systems in emerging markets facing structural and policy changes

The Role of the Principal as a Leader in Shaping Effective Schools: A Multi-case Study at MAN 1 Tulungagung and SMAN 1 Kedungwaru

This study aims to investigate the determinant role of the principal as a leader in reconstructing a quality culture towards an effective school. Employing a qualitative approach with a multi-case study design, the research was conducted at two sites with distinctive characteristics: MAN 1 Tulungagung (based on religious values) and SMAN 1 Kedungwaru (based on professional-secular standards). Data were collected through in-depth interviews, participant observation, and documentation studies, which were then analyzed using the interactive model by Miles, Huberman, and Saldana. The results reveal a substantive finding in the form of a "Hybrid-Integrative Leadership Model" that synergizes three strategic roles cyclically. First, as a Motivator, the principal builds teacher resilience through distinct approaches: Spiritual-Paternalistic Leadership (worship-value based) in the Madrasah and Instructional-Technocratic Leadership (meritocracy-based) in the public school. Second, as an Innovator, the principal acts as a system architect who institutionalizes change ideas into strategic documents and organizational culture. Third, as an Administrator, the principal serves as a strategic risk manager who dares to make calculated decisions for resource efficiency. The study concludes that school effectiveness does not arise from a single managerial adoption, but from the principal's ability to orchestrate humanist flexibility and systemic firmness adapted to local wisdom

The Effect of Fresh Fruit Bunch Prices and Transportation Costs on The Income of Oil Palm Farmers in Kampung Rakyat District

This study aims to analyze the effect of Fresh Fruit Bunch (FFB) Prices and Transportation Costs on the Income of Oil Palm Farmers in Kampung Rakyat District, South Labuhanbatu Regency. This study uses a quantitative approach with multiple linear regression analysis methods. The study population was 1,250 oil palm farmers with a sample of 93 respondents determined using the Slovin formula with a 10% error rate. Data were collected through questionnaires, structured interviews, and field observations, then analyzed using SPSS version 25 at a significance level of 5%. The results showed that partially, the FFB Price had a positive and significant effect on the income of oil palm farmers with a significance value of 0.017 < 0.05 and a regression coefficient of 0.180. This indicates that an increase in the price of FFB will increase farmers' income. Meanwhile, Transportation Costs did not have a significant effect on farmers' income with a significance value of 0.944 > 0.05, although the regression coefficient was negative. Simultaneously, the FFB Price and Transportation Costs had a significant effect on the income of oil palm farmers. The coefficient of determination (R²) of 0.362 indicates that the two variables are able to explain 36.2% of the variation in farmers' income, while 63.8% is influenced by other factors outside the research model. Based on the research results, it can be concluded that the price of fresh fruit bunches (FFB) is the most dominant variable in influencing the income of oil palm farmers in Kampung Rakyat District. This research is expected to be a consideration in formulating policies to improve the welfare of oil palm farmers