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This study aims to design and develop a web-based Eweta Village Tourism Promotion Information System using the Codeigniter Framework to facilitate the dissemination of information on village tourist destinations to the community and tourists. Lokomboro Village has natural and cultural tourism potential that has not been optimally managed, especially in terms of digital promotion. This system was built using the Waterfall software development method, which includes the stages of requirements analysis, system design, implementation, testing, and maintenance. This web-based system is equipped with features such as tourist attraction information, photo galleries, tourism activity schedules, and contact details for managers. The CodeIgniter Framework was chosen for its advantages in MVC structure, which facilitates code management, security, and application scalability. Testing results show that the system is capable of displaying promotional information interactively, responsively, and accessible at any time by interested users, making it suitable for use as a tourism promotion medium for Pada Eweta Village.

Dividend payment is an important financial decision that reflects a company’s performance and prospects from the perspective of investors. However, companies included in the LQ45 index still experience fluctuations in dividend payment policies from year to year. This study aims to analyze the effect of leverage, firm size, profitability, and liquidity on dividend payments of companies listed in the LQ45 index on the Indonesia Stock Exchange (IDX) during the 2023–2024 period. This research employs a quantitative approach using secondary data obtained from published financial statements. The sample was selected using a purposive sampling method, resulting in 33 companies with a total of 60 observations. Data analysis was conducted using panel data regression with the assistance of SPSS software. Leverage is measured by the Debt to Asset Ratio (DAR), firm size by the natural logarithm of total assets (LnTA), profitability by Return on Assets (ROA), liquidity by the Current Ratio (CR), and dividend payment by the Dividend Payout Ratio (DPR). The results show that leverage, firm size, profitability, and liquidity simultaneously have a significant effect on dividend payments. Partially, firm size and profitability have a positive and significant effect on dividend payments, while leverage and liquidity do not have a significant effect. These findings indicate that companies with larger firm size and higher profitability tend to have a greater ability to distribute dividends to investors.

The study aims to analyze in greater depth the influence of work motivation and employee loyalty on employee performance at PT ABC. This research employs a quantitative approach with an explanatory design intended to systematically explain the relationships among variables. Data were collected through the distribution of questionnaires using a Likert scale (1–5) to employees with a minimum of one year of tenure, as they are considered to have an adequate understanding of organizational conditions. Data analysis was conducted using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method with the assistance of SmartPLS 4 software to obtain more accurate and comprehensive results. The findings indicate that all research indicators have met the established validity and reliability criteria. The structural model test shows that work motivation has a positive and significant effect on employee performance (β = 0.207; p = 0.007), and employee loyalty also has a positive and significant effect (β = 0.718; p = 0.000). The R-square value of 0.753 indicates that both variables are able to explain 75.3% of the variation in employee performance. These findings emphasize that work motivation and employee loyalty play important roles in improving performance, with loyalty being the most dominant factor influencing employee performance.

This study aims to analyze the employee turnover rate experienced by CV Premium Indonesia employees through the influence of workload and job stress. As a company engaged in the retail and distribution of mobile phone accessories from leading brands, the desire to leave the company often arises due to high workload and feelings of work stress because of the many demands within the company. The methodology used in this study is quantitative, employing SEM model data analysis with the help of SmartPLS software. The sampling technique used is saturated sampling, with a total sample of 127 respondents. The results of this study indicate that high levels of workload can increase employee turnover rates. Meanwhile, high levels of job stress experienced by employees can also increase employee turnover rates. These findings suggest that CV Premium Indonesia should address the issues of workload and job stress in order to retain employees. Effective strategies such as work-life balance, stress management programs, and workload adjustments could help reduce employee turnover and improve overall organizational performance.

Kalingara Village still faces various obstacles in financial administration. Problems in general occur such as manual financial records, a long-time report making process, and data storage that is less organized and prone to loss or damage. This condition makes it difficult for village officials, especially the treasurer and village secretary, to search for data, prepare reports, and make decisions based on valid and up-to-date financial data. This research uses software engineering research methods with descriptive and qualitative approaches. This research is focused on the process of designing and developing a web-based information system for village financial administration, which aims to solve real problems in Kalingara village. The design of the Village financial administration information system in presenting information can be used as a reference in the development of the system by the next researcher and facilitate the creation of an information system for the processing of financial administration data in the village.

The research aims to find out and lyze the influence of employee empowerment on goal orientation through work accurancy at the Gempolkrep Sugar Factory, Gedeg district, Mojokerto Regency. The research method used is a quantitative research method with the number of samples used as many as 117 respondents using probability sampling techniques with proportionate random sampling techniques. The method used in the collection of data this study is to use a questionaire method with a scale os assesment using the likert scale. The data analysis technique used in this study is using SEM (stuctural equation modeling) with analysis test tools using IBM SPSS AMOS Statistics Version 22 software. The results showed that : 1) Employee empowerment has a significant and positive effect on the work accurancy of the Gempolkrep Sugar Factory in Mojokerto Regency. 2) Eployee empowerment has an significant and negative effect on the goal orientation of the Gempolkrep Sugar Factory in Mojokerto Regency. 3) Work accurancy has an significant and positive effect on the goal orientation of the Gempolkrep Sugar Factory in Mojokerto Regency.

The increasing sophistication of malware has rendered traditional signature-based detection methods insufficient, necessitating behavior-driven and adaptive analytical frameworks. This study presents a sequential deep learning framework that models system-level API call sequences as structured linguistic representations for behavioral malware detection. Unlike conventional comparative studies, this work systematically evaluates recurrent and attention-based architectures under controlled experimental conditions, with a particular focus on generalization performance and overfitting mitigation. Two neural architectures, a Long Short-Term Memory (LSTM) network and a Transformer-based attention model, are trained on publicly available API call sequence data for binary classification of malicious and benign executables. Beyond standard accuracy metrics, the study further examines model stability, convergence behavior, and the impact of long-range dependency modeling on detection robustness. Experimental results demonstrate that the Transformer architecture achieves superior performance, attaining 95.54% classification accuracy and consistent improvements in precision, recall, and F1-score, indicating a stronger ability to capture complex behavioral dependencies. These findings highlight the effectiveness of attention mechanisms in behavioral malware modeling and provide empirical evidence that NLP-inspired architectures offer a robust and scalable approach for real-world cybersecurity applications.

Comparing gas flow measurement results using Ultrasonic Sensor Meters and Kelton software is very important because the objective is to determine whether the errors that occur are in accordance with applicable standards or not. This study aims to compare the simulation results from the Ultrasonic Flow Meter (USM) with Kelton software based on AGA 8, AGA 9, and ISO 6976 regulations. From measurements with the USM, an error value of 0.01% was obtained, while from Kelton software, an error value of 0.01% was also obtained. Thus, it can be concluded that the readings from both methods are still within the specified error tolerance range of 0.1%, so they do not cause excessive cost losses during the gas delivery process. This proves that the Ultrasonic Sensor Meter used has the ability to measure accurately, making it suitable for use as a measuring device in gas metering systems.  

Taxes are the main source of state revenue that play an important role in financing development. However, the level of taxpayer compliance, especially individual non-employee taxpayers, is still low and fluctuating. This compliance is influenced by several factors, such as trust in the government, tax rates, taxpayer awareness, and tax policies. This study aims to determine the influence of trust in the government, tax rates, taxpayer awareness, and tax policies on the compliance of non-employee individual taxpayers. The population in this study consists of non-employee individual taxpayers registered at the Primary Tax Office under the South Jakarta II Regional Office of the Directorate General of Taxes. The research sample was determined using a purposive sampling technique, resulting in 96 respondents who met the research criteria. The data used is primary data collected through the distribution questionnaires using a likert scale. This study used a multiple linear regression analysis with the help of IBM SPSS Software version 22. The results of this study indicate that trust in the government has a negative effect on taxpayer compliance, tax rates have a positive effect on taxpayer compliance, taxpayer awareness has no effect on taxpayer compliance, and tax policy has a positive effect on taxpayer compliance.

This study aims to examine the effect of Islamic Service Quality comprising compliance, assurance, reliability, tangibles, empathy, and responsiveness on repurchase intention through consumer satisfaction at the Musa’adah Kopontren Retail, Sukorejo Situbondo. This research employs an explanatory research design. The sampling technique used is non-probability sampling with a purposive sampling method. Data were collected a questionnaire distributed both directly and via Google Forms, involving a total of 240 respondents. The data analysis method applied is Partial Least Squares (PLS) using SmartPLS software. The results indicate that: (1) compliance has a significant effect on consumer satisfaction; (2) assurance has a significant effect on consumer satisfaction; (3) reliability has no significant effect on consumer satisfaction; (4) tangibles have a significant effect on consumer satisfaction; (5) empathy has a significant effect on consumer satisfaction; (6) responsiveness has a significant effect on consumer satisfaction; (7) compliance has no significant effect on repurchase intention; (8) assurance has no significant effect on repurchase intention; (9) reliability has no significant effect on repurchase intention; (10) tangibles have a significant effect on repurchase intention; (11) empathy has no significant effect on repurchase intention; (12) responsiveness has no significant effect on repurchase intention; and (13) consumer satisfaction has a significant effect on repurchase intention.

In the era of digital transformation, the utilization of information technology in business activities has become an important factor in improving operational efficiency and effectiveness. Dzikri Baby Shop, a business engaged in the sale of baby equipment, still faces challenges in managing sales transactions and inventory manually, which may lead to recording errors, process delays, and less optimal customer service. This study aims to design and develop a sales information system for Dzikri Baby Shop to support digital transformation in its business processes. The system development method used in this research is Rapid Application Development (RAD), as it enables software to be developed in a relatively short time through an iterative approach and active user involvement. The system developed includes product data management, sales transaction processing, inventory control, and report generation. The testing results using the Black Box Testing method show that all system features function in accordance with user requirements. Therefore, the implementation of this sales information system is expected to improve operational efficiency, accelerate transaction processes, minimize errors in data management, and enhance the quality of customer service.

This study aims to analyze the effect of financial literacy and the use of accounting information on the financial performance of Micro, Small, and Medium Enterprises (MSMEs), with financing as a moderating variable. The research sample consists of 100 MSME owners or managers located in Gresik City, specifically in Gresik, Kebomas, and Manyar Districts, selected using purposive sampling based on predetermined criteria. Hypothesis testing was conducted using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method with the assistance of SmartPLS software through a bootstrapping procedure and one-tailed testing. The results indicate that financial literacy and the use of accounting information have a positive and significant effect on MSME financial performance. In addition, financing is proven to strengthen the influence of financial literacy and accounting information on MSME financial performance. This study is expected to provide practical benefits for MSME actors in improving financial performance through better financial management and access to financing. The limitation of this study lies in the limited research area and the use of perception-based data.

Wewewa Timur District is an administrative area in Southwest Sumba Regency that has great potential to improve the quality of public services. However, in practice, services at the sub-district level are still faced with various obstacles, such as slow administrative processes, manual data recording, and lack of coordination between service departments. This makes it difficult for government officials to cause problems and has a direct impact on public satisfaction as service recipients. As a solution, the development of a Web-Based Integrated Service Information System is the right step to address community needs and support government performance in Wewewa Timur District. Through this system, the public can access various services on a single digital platform without having to come directly to the sub-district office, and helps officials in accelerating administrative processes. This study uses a software engineering approach to design and implement a Web-Based Integrated Service Information System in Wewewa Timur District. The method used is the Waterfall method, which is a classic method in software engineering with sequential and systematic stages, from needs analysis to system maintenance. Test results using the black box method showed that the software could identify malfunctioning functions, interface errors, data structure errors, and access to external databases, while also producing expected output. Therefore, this system is considered effective in improving the quality of public services in Wewewa Timur District.

Background: Trigeminal neuralgia (TN) is often associated with neurovascular compression in the trigeminal nerve root entry zone, necessitating the simultaneous visualisation of nerves and blood vessels. Fusion of 3D SPACE and 3D TOF MRA images provides an integrated neurovascular view; however, not all hospitals have fusion software. This study developed a MATLAB-based image fusion method as an alternative and evaluated its equivalence to hospital-based fusion software.Methods: This study employed a descriptive quantitative research design, conducted in November 2025 at Diponegoro National Hospital and Dr Kariadi General Hospital in Semarang. A total of 16 brain MRI datasets (3D SPACE and 3D TOF MRA) were fused using hospital software and the MATLAB fusion application (MATLAB R2025b GUI). The fusion results were assessed by specialist radiologists. Diagnostic performance metrics (sensitivity, specificity, NDP, NDN, accuracy) were calculated, and paired differences were tested using the McNemar test. Intra-observer reliability was assessed using percentage agreement and Cohen’s Kappa.Results: MATLAB fusion yielded a sensitivity of 90.91%, specificity of 80.00%, NDP of 90.91%, NDN of 80.00%, and accuracy of 87.50%; the McNemar test (p=1.000) indicated no significant difference. Intra-observer reliability was very good (percent agreement 94%; Kappa 0.875). These findings indicate that MATLAB-based fusion is equivalent to hospital software fusion on the study data and has the potential to serve as an alternative in facilities without fusion software, provided that registration standardisation and user training are in place.

This study aims to investigate the determinants of job performance by integrating the variables of capability, social interaction, and Organizational Citizenship Behavior (OCB) as a moderating variable. The phenomenon of employee turnover and discrepancies in staff discretionary behavior within the hospital setting serves as the primary rationale for this study. Using a quantitative approach, data were collected from 240 respondents at Magelang City Islamic Hospital through purposive sampling. Data analysis was conducted using Structural Equation Modeling (SEM) based on AMOS software to test the causal relationships among variables in the structural model. The research findings provide empirical confirmation that individual capabilities and the quality of social inter-actions have a positive and significant influence on stimulating the formation of OCB. Furthermore, statistical test results demonstrate that capabilities, social interactions, and OCB simultaneously make a significant contribution to improving employee work performance. The presence of OCB is identified as a crucial factor capable of strengthening organizational performance outcomes. The practical implications of this study emphasize the need for hospital management to formulate human resource development strategies focused on strengthening technical skills and social cohesion to mit-igate the impact of turnover and accelerate the sustainable performance of healthcare services.

Rubber (Hevea brasiliensis) is an important plantation commodity that contributes to improving rural livelihoods. However, the productivity of smallholder rubber plantations remains relatively low due to various technical constraints, socio-economic conditions, and limited farmers’ knowledge and technology. This study aims to analyze the influence of technical aspects of cultivation and socio-economic aspects on farmers’ knowledge and technology in rubber cultivation in Desa Antutan, Kecamatan Tanjung Palas, Kabupaten Bulungan. This research employed a mixed methods approach with a descriptive design. Quantitative data were collected through questionnaires distributed to 30 rubber farmers selected using purposive sampling, while qualitative data were obtained through in-depth interviews and documentation. Quantitative data were analyzed using multiple linear regression with SPSS software, while qualitative data were analyzed through data reduction, data display, and conclusion drawing The results indicate that technical aspects of cultivation and socio-economic aspects simultaneously influence farmers’ knowledge and technology in rubber cultivation. Partially, technical cultivation aspects have a more dominant effect than socio-economic aspects. Qualitative findings reveal that the main problems faced by farmers include improper tapping techniques, aging rubber trees, rubber price fluctuations, and limited access to agricultural training and extension services.

The rapid development of social media, particularly TikTok, has transformed digital marketing strategies by emphasizing influencer endorsement and content marketing to reach Generation Z consumers. This generation is characterized by high social media usage and strong responsiveness to visual content and influencer recommendations. This study aims to analyze the effect of influencer endorsement and content marketing on the purchase intention of Generation Z TikTok users toward Antarestar products in Makassar City, both partially and simultaneously. This study employed a quantitative approach with an associative research method. The population consisted of Antarestar consumers residing in Makassar City, and the sample was determined using purposive sampling. A total of 140 respondents who met the research criteria were involved in this study. Data were collected through a questionnaire using a five-point Likert scale and analyzed using multiple linear regression analysis with the assistance of IBM SPSS Statistics software. The results of this study indicate that (1) influencer endorsement has a positive and significant effect on the purchase intention of Generation Z TikTok users toward Antarestar products, (2) content marketing has a positive and significant effect on purchase intention, and (3) influencer endorsement and content marketing simultaneously have a positive and significant effect on the purchase intention of Generation Z TikTok users toward Antarestar products in Makassar City. The findings conclude that the effectiveness of Antarestar’s digital marketing on TikTok is strongly influenced by credible and attractive influencers as well as relevant, informative, and consistent marketing content. Therefore, optimizing influencer endorsement and content marketing strategies is essential to enhance purchase intention among Generation Z consumers.

This study focuses on micro, small, and medium enterprises (MSMEs) in Central Jakarta, which play an important role in the national economy, particularly through their contribution to state revenue from the taxation sector. The purpose of this study is to examine how taxpayers’ knowledge and compliance with tax regulations influence tax revenue generated from the MSME sector. The distribution of questionnaires to MSME taxpayers was used as the main instrument to collect research data through a quantitative approach. A total of 164 respondents were selected using a purposive sampling method by considering specific criteria relevant to the research objectives. To evaluate and analyze the collected data, this study employed SmartPLS software using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method. The results indicate that tax revenue from MSMEs is positively and significantly influenced by taxpayer compliance in fulfilling their tax obligations. Furthermore, there is a positive and statistically significant relationship between the level of tax knowledge and the increase in tax revenue. These findings highlight the importance of improving taxpayers’ understanding and compliance as an effort to enhance tax revenue from the MSME sector. This study is expected to provide practical contributions to the Directorate General of Taxes in formulating more effective policies to improve compliance and optimize tax revenue from MSME taxpayers.

This study investigates the evolutionary and research trends on social capital and economic resilience within the small and medium enterprises sector through bibliometric analysis. Data were obtained from the google scholar through Publish or Perish software, covering the period from 2020 to 2025, then organized using Mendeley and analyzed through VOSviewer. The results indicate that topic of social capital is a central link between trust, innovation, and business sustainability. Research trends have shifted from theoretical approaches to practical applications, particularly during times of crisis or challenges. Overall, social capital is proven to be instrumental in strengthening the resilience and sustainability of SMEs, while also serving as the foundation for developing sustainable economic policies based on social capital.

This study aims to determine the influence of Product Quality, Price Perception, and Brand Image on Purchase Decisions in Shopee application users in South Jakarta. The population in this study is Shopee application users in South Jakarta who have made purchases in the last six months. The research sample was determined using the Non Probability Sampling method with the Lemeshow formula and obtained as many as 96 respondents who were considered to represent the characteristics of the population. Data was collected through a questionnaire with a Likert scale distributed through Google Form, then processed using Microsoft Excel 365 and SPSS software version 29 for descriptive analysis and hypothesis testing. The analysis techniques used included validity tests, reliability, classical assumption tests, multiple linear regression analysis, as well as t-tests and F-tests. The results showed that Product Quality, Price Perception, and Brand Image had a significant effect on Purchase Decisions in Shopee application users, both partially and simultaneously, which indicates the importance of marketing strategies based on product and brand values in improving consumer purchase decisions.