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This study examines the effect of product quality, brand image, and price on consumer loyalty through satisfaction in students using Acer laptops at Dian Nuswantoro University. Data were collected from 115 respondents and analyzed using PLS-SEM through SmartPLS 4.0 software. The results show that product quality and brand image have a positive and significant effect on satisfaction, while price does not have a significant effect on satisfaction. On the other hand, only brand image and consumer satisfaction are proven to have a significant effect on consumer loyalty, while product quality and price do not show a significant direct effect on loyalty. However, product quality is proven to have an indirect effect on consumer loyalty through consumer satisfaction as a mediating variable. These findings emphasize the importance of improving quality and brand image to build loyalty.

This study explores the role of Islamic accounting in advancing the Sustainable Development Goals (SDGs) in Indonesia using a qualitative approach. Data were collected through in-depth interviews with 15 informants—academics, regulators, and practitioners—and analyzed using NVivo software. The findings highlight three critical themes: (1) maqasid al-shariah principles are embedded in regulation but constrained by dual regulatory authority, identified 28 times in the coding; (2) Islamic financial inclusion is expanding through profit-sharing contracts, yet low financial literacy emerged 35 times as the most dominant barrier; and (3) the dual financial system fosters innovation but is hindered by public misconceptions (12) and regulatory overlaps (10). These results demonstrate that Islamic accounting goes beyond normative discourse, functioning as an institutional mechanism that bridges regulatory ethics, literacy, and dual systems. The limitations of this study include its small sample size and qualitative scope, suggesting the need for future quantitative validation. The novelty lies in integrating empirical field data with the SDG framework, providing practical implications for regulators, financial institutions, and academia in aligning Islamic accounting with global sustainability goals.

The purpose of this study is to analyze the influencer of influencers on purchasing decisions through viral marketing as an intervening variabel in the Ruang Keramik Studio. This study uses quantitative method. The sampling technique used was non-probability sampling with a purposive sampling method. The sample size for this study was 100 respondents, calculated using the Lemeshow formula since the population size was unknown. Data analysis in this study utilized the SmartPLS 4.0 software with a Structural Equation Modeling – Partial Least Squares (SEM-PLS) approach. The Test results showed that TikTok influencer have a direct effect on purchasing decisions in the Ruang Keramik Studio. TikTok influencers have a direct effect on viral marketing in the Ruang Keramik Studio. Viral marketing have a direct effect on Purchase Decision in the Ruang Keramik Studio. TikTok influencer have an indirect effect on Purchase Decision, through the Viral Marketing variable as an intervening variable in the Ruang Keramik Studio (can mediate).  

Safety is mandatory aspect that must be considered in maritime transportation, the result of an incident or ship accident due to negligence in safety aspects will have a big impact on several aspects, namely the ship itself, the environment, industry, human life, and also other shipping activities. Sea conditions that are not easy to predict mean that all components in the voyage, such as the captain, crew, and the ship itself need to be ready for any conditions during the voyage. In order to support the safety and operation of ships, of course, ship safety equipment must be supported by good maintenance supported by a maintenance planning system or what is usually called a Planned Maintenance System (PMS) on each ship. Planned Maintenance System (PMS) is a paper and software-based system that allows ship owners or operators to carry out ship maintenance within a certain period of time based on the requirements of the manufacturer and ship classification bureau. Ship maintenance and maintenance are very important to maintain the condition of the ship so that it is seaworthy, increase ship productivity and extend the service life of the ship, which ultimately aims at nothing other than ship safety

The increasing international awareness of environmental issues has had a significant impact on business orientation in various sectors, including micro, small, and medium enterprises (MSMEs). In the fashion industry, MSMEs are not only required to create innovations in product design and quality, but are also directed to adopt environmentally friendly practices that support sustainability throughout their business processes, from production to marketing. This study aims to examine in depth how the integration of green business strategies and sustainable marketing contributes to increasing the competitive advantage of fashion MSMEs in Banyumas Regency, Indonesia. This study uses a quantitative approach with a survey method involving 100 fashion MSME respondents selected based on relevant criteria. Data processing was carried out through multiple linear regression analysis accompanied by classical assumption tests with the help of SPSS software, so that the research results have a strong empirical basis. The research findings indicate a positive and significant influence, both partially and simultaneously, between the implementation of green business strategies and sustainable marketing on achieving competitive advantage. The coefficient of determination (R²) value of 0.52 indicates that the two independent variables are able to explain more than half of the variation in competitive advantage possessed by MSMEs. The implications of these results confirm that the success of MSMEs no longer depends solely on product innovation, but also on the ability to integrate sustainability aspects into internal practices and external strategies. This research enriches the literature on sustainable management, particularly in the context of MSMEs in non-urban areas, while also providing practical input for the formulation of business assistance policies that are adaptive to market dynamics and increasingly complex environmental challenges. This research provides theoretical contributions to the literature on sustainable management in the context of MSMEs in non-urban areas, as well as practical implications for the development of business assistance policies that are more adaptive to environmental challenges.

In the scope of the workplace, job satisfaction plays a significant role, believed to influence both Organizational Citizenship Behavior (OCB) and workload levels. The study adopts a quantitative approach with a causal associative method, involving the entire population of 97 employees through total sampling technique. Data collection is conducted using a structured questionnaire that utilizes the Likert scale to ensure the validity and reliability of the instrument. Data analysis is performed using SPSS software version 25.00, which yields an R-square value of 0.345 for the job satisfaction variable. Hypothesis testing supports the positive influence of organizational citizenship behavior on job satisfaction (with a t-statistic value of 2.773 > 1.96) and the positive impact of workload levels on job satisfaction (with a t-statistic value of 6.187 > 1.96).

The agricultural sector, particularly the food crop subsector namely rice plays a crucial role in the regional economy, especially in ensuring the supply of staple food. Tabanan Regency, located in Bali Province, is widely recognized as the "rice barn" of the region. Despite its substantial rice production, the region faces a significant threat from land-use conversion, which endangers the area of rice fields in Tabanan Regency. Penebel District, as the largest rice-producing area in the regency, is particularly vulnerable to this phenomenon. The objectives of this study are: (1) to analyze the simultaneous effect of harvested land area, labor, and working capital on rice production in Penebel District, Tabanan Regency; and (2) to analyze the partial effect of harvested land area, labor, and working capital on rice production in the same region. This study uses primary data collected through interviews using questionnaires with 100 rice farmers selected using proportionate stratified random sampling. The analytical method employed is multiple linear regression analysis using the EViews software. The results indicate that: (1) harvested land area, labor, and working capital simultaneously have a significant effect on rice production in Penebel District, Tabanan Regency; and (2) harvested land area and working capital have a positive and significant partial effect on rice production, while labor does not have a significant effect.

This research aims to evaluate the impact of communication technology on customer satisfaction through the implementation of digital marketing strategies at CV Sinar Anugrah Machinery. Using a quantitative approach, data were collected from 112 customers using the proportionate stratified random sampling method to obtain a balanced representation. The analysis was conducted using the Partial Least Squares (PLS) approach with the SmartPLS software. The research results reveal that communication technology directly contributes positively to customer satisfaction and affects the effectiveness of digital marketing strategies. In addition, digital strategies have proven capable of increasing consumer satisfaction levels. This conclusion shows that the integration of communication technology in digital marketing can strengthen relationships with customers and increase loyalty. From a practical standpoint, companies are advised to continue leveraging the latest technology and strengthening their digital strategies to create superior customer experiences and maintain competitiveness in the ever-evolving market.

Bridge infrastructure is a vital component of transportation systems that is vulnerable to structural damage caused by dynamic loads, environmental factors, and aging. Early crack detection is crucial to prevent structural failures that may lead to catastrophic consequences. This study aims to develop a non-destructive detection method based on acoustic sensors to identify cracks in bridge structures with higher sensitivity and accuracy compared to conventional visual inspections. The research was conducted through laboratory experiments and field tests using acoustic sensors, data acquisition devices, and signal analysis software. The procedure included sensor installation on a bridge model, simulation of artificial cracks with varying sizes and positions, recording of acoustic wave signals, and data analysis using frequency spectrum, amplitude, and waveform pattern approaches. The results show significant differences between normal and cracked conditions in the frequency spectrum, where cracks produced amplitude anomalies at specific frequencies. Amplitude analysis revealed a positive correlation between crack size and acoustic signal intensity, while waveform pattern analysis demonstrated the influence of crack position on distortion levels. Cracks located at the center generated the highest distortion, followed by joints and edges. These findings confirm that acoustic sensors, particularly fiber-optic-based ones, offer advantages such as high sensitivity, reliability under complex environmental conditions, and the ability to detect subsurface cracks. The implications of this research highlight the potential development of an acoustic sensor-based structural health monitoring system integrated with real-time analysis software, thereby supporting preventive maintenance, extending infrastructure lifespan, and enhancing transportation safety.

This study aims to identify, measure, and analyze the influence of learning independence on student learning outcomes with learning motivation as a mediator in public high schools in East Jakarta. This study involves 10th-grade students from 3 (three) public high schools in East Jakarta based on different categories, with a total of 273 respondents selected through the Simple Random Sampling technique. The approach used in this study is quantitative, and data analysis was conducted using the Structural Equation Modeling-Partial Least Square (SEM-PLS) method through SmartPLS version 4.0 software. The results of the hypothesis testing show that, 1) learning independence has a positive and significant effect on learning outcomes, 2) learning independence has a positive and significant effect on learning motivation, 3) learning motivation has a negative and significant effect on learning outcomes, and 4) learning independence has a negative and significant effect on learning outcomes through the indirect influence of learning motivation. This study shows the involvement of other more dominant factors as mediating variables in the relationship between learning independence and student learning outcomes.

The threat of Distributed Denial of Service (DDoS) is increasing develop along with increasing use of the Internet of Things (IoT) and Software-Defined Networking (SDN) architecture . Although SDN provides convenience in management network , properties its centralized control make it prone to to flooding attacks that can paralyze controller performance . Detection method conventional , such as approach statistics and machine learning, still own limitations in matter accuracy , high false positive rate , and dependence on extracted features manually . To overcome problem said , research This propose a hybrid deep learning based DDoS detection and mitigation model that combines Convolutional Neural Network (CNN) to extraction feature spatial from RGB and Gated Recurrent Unit (GRU) images for understand temporal correlation between traffic data network . System tested through network test-bed Mininet based with Ryu/Floodlight controller, using simulation DDoS attacks (Hping3, LOIC) and normal traffic (video streaming, HTTP server). Traffic data cross recorded in PCAP format, processed become RGB image measuring 200×200 pixels, and labeled based on type traffic . Evaluation results with metric accuracy , precision, recall, F1-score, and MCC show that the CNN–GRU model has performance more superior compared to baseline approaches such as CNN-only, GRU-only, as well as classical ML methods such as SVM and Random Forest. In addition , the system capable apply mitigation adaptive through automatic flow rule creation on edge switches. Findings This confirm that effective deep learning- based spatial -temporal hybrid approach in increase detection early and response DDoS attacks on SDN networks adaptive and real-time.  

The rapid development of information technology has encouraged Village Credit Institutions (LPDs) to adopt Accounting Information Systems (AIS) as an effort to enhance operational efficiency and effectiveness. However, the implementation of AIS in several LPDs in Abiansemal District still faces various challenges, such as data input errors and lack of system integration. This study aims to analyze the influence of system development formalization, organizational size, user involvement, training and education, as well as personal technical skills on the performance of accounting information systems. The research method used is quantitative with a survey approach. The sample consists of 96 respondents, comprising leaders and managers of 32 active LPDs in Abiansemal District, Badung Regency. The data analysis techniques include validity and reliability tests, classical assumption tests, multiple linear regression analysis, coefficient of determination test, F-test, and t-test using SPSS software. The results show that all five independent variables—system development formalization, organizational size, user involvement, training and education, and personal technical skills—have a simultaneous and partial positive and significant influence on the performance of accounting information systems. The coefficient of determination indicates that 55.8% of the variation in AIS performance can be explained by these five variables.

The tendency to commit fraud refers to unlawful actions carried out with the intention of gaining personal benefit. Fraud cases frequently occur in various financial institutions, including Village Credit Institutions (Lembaga Perkreditan Desa or LPDs) in Tabanan Regency. This highlights the need for further research on the factors contributing to fraudulent tendencies. This study aims to examine the influence of the bystander effect, individual morality, and financial pressure on the tendency to commit fraud in LPDs across Tabanan Regency. The study involved 90 LPD administrators selected using the area sampling method. Data were collected through questionnaires distributed directly at the research sites. The collected data were then tested and analyzed using multiple linear regression analysis with SPSS 27 software. The results indicate that the bystander effect and financial pressure have a positive influence, while individual morality has a negative influence on the tendency to commit fraud in LPDs across Tabanan Regency. The implications of this study are both theoretical and practical. Theoretically, the study supports the Fraud Hexagon Theory and contributes to empirical research on fraudulent tendencies. Practically, the findings can serve as a reference for institutions to pay closer attention to employee behavior in order to mitigate the tendency to commit fraud.  

This study aims to produce a company profile video for the Faculty of Technology, Battuta University, Medan using Adobe Premiere CC 2019 software. This company profile video is designed to provide a clear picture of the vision, mission, organizational structure, facilities, and superior programs at the Faculty of Technology, Battuta University, Medan. The production process of this video goes through several stages, namely planning, shooting, processing visual materials, and editing to produce a video that is in accordance with the communication objectives to be conveyed. Adobe Premiere CC 2019 was chosen as the main tool in video editing because of the ability of this software to provide various professional editing features, such as transition settings, visual effects, color adjustments, and audio processing that supports the quality of the final video results. The results of this study are in the form of a company profile video that can be used as a promotional media, which is expected to improve the image and attractiveness of the Faculty of Technology, Battuta University, Medan in the eyes of prospective students and the general public. With this video, it is hoped that information about the faculty can be conveyed more effectively and attractively.

Sport is a basic need to maintain good physical condition and health, and plays an important role in national development. Law Number 11 of 2022 concerning Sports emphasizes the importance of educational sports, performance sports and recreational sports. One form of recreational sport that is popular in Payakumbuh City is Aerobiks, which is not only popular for fitness but also as a recreational activity. This research aims to analyze the influence of people's motivation to exercise Aerobiks in Payakumbuh City, with a focus on instructor competence, awareness of healthy living, and sports facilities. The population in this research is the people of Payakumbuh City. This research uses quantitative methods with primary data in the form of a questionnaire with a total research sample of 60 respondents taken based on sampling techniques. The data analysis technique used is descriptive analysis and inferential statistical analysis with Structural Equation Modeling (SEM) analysis of various Partial Least Square (PLS) variants. Measurement model or outer model, structural model test or inner model, and hypothesis testing with the help of Smart-PLS 4.0 software as a testing tool. The results of this research show that instructor competence and facilities have a significant effect on people's motivation to exercise Aerobiks in Payakumbuh City. Meanwhile, awareness of healthy living has no effect on people's motivation to exercise Aerobiks in Payakumbuh City.

This study aims to analyze the influence of enterprise risk management disclosure and intellectual capital on firm value, with good corporate governance as a moderating variable. The research population consists of state-owned enterprises (SOEs) listed on the Indonesia Stock Exchange during the 2020–2023 period. A total of 17 SOEs were selected using purposive sampling, resulting in 67 observations over four years. The data were analyzed using Moderated Regression Analysis (MRA) with the aid of STATA software. The findings reveal that enterprise risk management disclosure has a negative and significant effect on firm value, while intellectual capital has a positive and significant effect. Furthermore, good corporate governance does not moderate the relationship between enterprise risk management and firm value; however, it strengthens the relationship between intellectual capital and firm value.

The purpose of Community Service (PKM) is to improve the understanding and ability of business owners and crew members (ABK) in conducting simple and applicable financial analysis. This activity will be carried out in Laha Village, Ambon City, in May 2025 with the main target of the Arumbae ship fishing business actors and their crews. This PKM is carried out in three main stages, namely: the preparation stage, the implementation stage, and the monitoring and evaluation stage. In the preparation stage, an initial approach is made to ship owners and crew members to establish communication and identify specific needs related to understanding and skills in financial analysis. The implementation phase includes training activities that are designed in a participatory and applicable manner, using Microsoft Excel software as the main tool in calculating and analyzing the feasibility of the business. The training material includes business feasibility analysis techniques, cash management, simple financial recording, and profit and loss projections. The benefits felt by the participants were very significant. Business owners now have a better understanding of the importance of financial management, and can prepare a business feasibility analysis independently. They also show an improvement in the ability to prepare simple financial statements, as well as being motivated to develop fishing ventures to a larger and more sustainable scale. Monitoring shows a noticeable increase in understanding and skills after training. This activity also has a positive impact on building an orderly and disciplined financial recording culture, which has not previously been a habit among fishermen. In the future, it is hoped that this training can be replicated to other fishermen groups in the coastal area of Maluku to expand the impact. The conclusion of this activity shows that an educational and practical approach is able to encourage the increase of fishermen's capacity in the financial aspect of business. This activity also opens up opportunities for the development of fishing businesses professionally and oriented towards the sustainability of the local economy.

Mathematical logic is a branch of science that studies the principles of logical reasoning and how to judge the truth of a statement. This article discusses the role of mathematical logic in everyday life, especially in education, technology, and finance. Mathematical logic has been proven to help improve critical, analytical, and systematic thinking skills, making it easier for individuals to solve various problems more effectively and efficiently. In the world of education, mathematical logic supports the development of rational, argumentative, and problem-solving skills, and is an important foundation in the science and mathematics curriculum. Teachers can leverage this logic to encourage students in building consistent reasoning and logical argumentation. In the field of technology, mathematical logic is the foundation in the development of modern computing systems, such as algorithms, programming, artificial intelligence, and data structures. Without mathematical logic, digital systems such as search engines, software, and applications cannot function optimally. In finance, mathematical logic plays a role in budget strategy, investment decision-making, statistical analysis, and rational risk management. With a good understanding of logic, individuals and institutions can make more wise and measurable financial decisions. Although his contribution is large, there are still many people who do not understand the basic concepts of mathematical logic. This can be overcome through more inclusive education, contextual approaches, and interactive learning based on real problems, both in schools and non-formal environments. This study emphasizes the importance of mathematical logic as a foundation in supporting a more rational, efficient, and structured life in today's modern era. Increasing mathematical logic literacy can be a national strategy to create a society that thinks critically, is competitive, and ready to face global challenges.

This study aims to analyze the influence of Digital Customer Experience (DCE) and Customer Engagement (CE) on Brand Loyalty (BL) among Generation Z, a digital-native cohort that plays a strategic role in shaping market dynamics in the digital era. Using a quantitative explanatory research design, data were collected through a structured questionnaire employing a 5-point Likert scale, distributed to 100 purposively selected respondents aged 18–27 who actively interact with brands through digital platforms. Multiple linear regression analysis was applied with SPSS software to test the hypotheses. The results reveal that Digital Customer Experience has a positive and significant impact on Brand Loyalty, indicating that seamless, personalized, and satisfying digital interactions enhance consumer loyalty. Similarly, Customer Engagement exerts a positive and significant influence on Brand Loyalty, emphasizing the role of active customer participation in strengthening emotional attachment and long-term commitment to brands. Jointly, both variables explain over 70% of the variation in Brand Loyalty, underscoring their synergistic effect in driving repurchase intention and advocacy behaviors among Generation Z. The findings provide both theoretical implications for enriching the customer experience–engagement–loyalty framework and practical guidance for marketers to optimize digital touchpoints, foster interactive engagement, and design loyalty-driven strategies tailored to Generation Z’s behavioral patterns in the digital marketplace.

This study aims to analyze the influence of population size, Human Development Index (HDI), and Open Unemployment Rate (OUR) on poverty levels in regencies/cities of Special Region of Yogyakarta during 2018-2023 period. The research employed quantitative design with panel data regression analysis approach across five regencies/cities in DIY. Secondary data were obtained from official publications of Statistics Indonesia Yogyakarta Province and analyzed using Fixed Effect Model and Random Effect Model with Stata 17 software. The research findings indicate that HDI has negative and significant effect on poverty level, suggesting that improvement in human resource quality effectively reduces poverty. OUR proved to have positive and significant effect on poverty, confirming that increased unemployment raises poverty levels. Conversely, population size shows no significant influence on poverty in DIY. These findings provide strategic implications for local government to prioritize investment in education and health sectors as well as job creation programs in poverty alleviation efforts. High inter-regional heterogeneity indicates the necessity for policy approaches tailored to specific characteristics of each regency/city in DIY.