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The development of sustainable tourism villages requires the implementation of management practices that enhance environmental performance through environmentally oriented leadership, community participation, and stakeholder engagement in achieving sustainability goals. This study aims to examine the influence of green leadership and community involvement on green performance, with employee engagement serving as a mediating variable among the stakeholders and managers of Punten Tourism Village, Batu City. A quantitative approach with an explanatory research design was employed. The study involved all stakeholders and managers of Punten Tourism Village using a saturated sampling technique. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software. The findings reveal that green leadership and community involvement have positive and significant effects on green performance. Both variables also significantly enhance employee engagement, which, in turn, positively and significantly influences green performance. Furthermore, employee engagement partially mediates the relationships between green leadership and green performance, as well as between community involvement and green performance. These findings suggest that improving the environmental performance of tourism villages requires the integration of green leadership, active community involvement, and stronger stakeholder engagement to support the implementation of sustainable tourism practices.

This study aims to analyze the influence of work motivation and supervision on employee performance through job satisfaction at the Population Control and Family Planning Office (DPPKB) of East Kutai Regency. A quantitative approach was employed using census sampling technique involving 84 employees. Data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) with SmartPLS software. The results reveal that: (1) work motivation positively and significantly affects job satisfaction (β = 0.263, p = 0.039); (2) supervision has a stronger positive effect on job satisfaction (β = 0.409, p = 0.000); (3) work motivation does not directly affect employee performance (β = 0.136, p = 0.248); (4) supervision does not directly affect employee performance (β = 0.140, p = 0.186); (5) job satisfaction is the strongest predictor of employee performance (β = 0.565, p = 0.000); (6) job satisfaction does not significantly mediate the work motivation–performance relationship (β = 0.149, p = 0.056); and (7) job satisfaction fully mediates the supervision–performance relationship (β = 0.231, p = 0.001). These findings suggest that improving public-sector employee performance requires a humanistic supervisory approach centered on employee psychological well-being.

This study aims to analyze the effect of career development and organizational culture on employee productivity through job satisfaction at the Office of Community and Village Empowerment (DPMD) in East Kutai Regency. The research employs a quantitative explanatory approach using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. Total sampling was applied, involving all 90 employees of the office as respondents. Data were collected through questionnaires with Likert scale measurements. The results demonstrate that career development has a significant positive effect on job satisfaction (coefficient = 0.295, T = 2.532, p = 0.011), and organizational culture has a significant positive effect on job satisfaction (coefficient = 0.441, T = 4.071, p = 0.000). However, career development, organizational culture, and job satisfaction do not have a significant direct effect on employee productivity (H3 through H7 rejected). The coefficient of determination for job satisfaction is 43.1%, indicating that both independent variables explain 43.1% of job satisfaction variance. These findings suggest that although career development and organizational culture successfully improve job satisfaction, mechanisms beyond satisfaction are needed to translate that satisfaction into measurable productivity at DPMD.

The increasing competition in the coffee shop industry requires Micro, Small, and Medium Enterprises (MSMEs) to continuously improve service quality and product quality to maintain customer satisfaction and business sustainability. Ngopi Pojok 98 experienced a decline in revenue over several months, indicating potential problems related to service performance and product consistency. This study aims to analyze the improvement of customer satisfaction after implementing service quality and product quality enhancements at Ngopi Pojok 98. This research employed a quantitative approach using a One Group Pretest–Posttest Design. The sample consisted of 50 respondents selected through purposive sampling. Data were collected using questionnaires administered before and after the improvement program and analyzed using validity tests, reliability tests, the Shapiro–Wilk normality test, and the Paired Sample t-Test with the assistance of SPSS software. The results showed that all instruments were valid and reliable. The normality test indicated a significance value of 0.291 (>0.05), confirming normal data distribution. Furthermore, the Paired Sample t-Test produced a significance value of 0.000 (<0.05), indicating a significant difference in customer satisfaction before and after the improvements. The average satisfaction score increased from 29.68 to 34.88. These findings confirm that enhancing service quality and product quality effectively improves customer satisfaction in coffee shop MSMEs.

Tomato (Solanum lycopersicum) is a high-value horticultural commodity in Indonesia, yet its cultivation is frequently disrupted by leaf diseases that are difficult to distinguish visually. Diseases such as Bacterial Spot, Early Blight, and Tomato Yellow Leaf Curl Virus often present overlapping visual symptoms, making early and accurate diagnosis a significant challenge for farmers. The manual identification methods currently in use are inefficient and error-prone, ultimately leading to reduced crop yield  and quality. The general objective of this study is to develop software capable of automatically classifying tomato  leaf diseases. Specifically, this research aims to implement the MobileNetV3 Small architecture based on Convolutional Neural  Network (CNN) with ImageNet pre-trained weights to classify 10 types of tomato leaf diseases. The research methodology encompasses dataset collection from Kaggle comprising 10,000 images (1,000 per class), image pre-processing through resizing to 224x224 pixels, and normalization, as well as hyperparameter optimization (optimizer, learning rate, epoch, batch size) via scheduler. Model performance is evaluated using a confusion matrix encompassing accuracy, precision, recall, and F1-score.

This study aims to analyze the influence of digital experience and customer experience on passenger loyalty on the Progo Train route, Pasar Senen–Lempuyangan. The increasing digitalization of public transportation services through the Access by KAI application has highlighted the importance of examining the quality of digital experience and customer experience in maintaining passenger loyalty. The study employed a quantitative approach with a causal associative design. Data were collected from 150 respondents through a questionnaire with a five-point Likert scale using a purposive sampling technique. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software (Ringle et al., 2024). The results of the outer model evaluation showed that all indicators had outer loadings > 0.70, Average Variance Extracted (AVE) > 0.50, Composite Reliability (CR) and Cronbach's alpha > 0.70, thus all constructs were declared valid and reliable. The inner model test shows that digital experience has a positive and significant effect on passenger loyalty (β = 0.192; T = 2.237; p = 0.025). Customer experience also has a positive and significant effect on passenger loyalty (β = 0.243; T = 3.268; p = 0.001). The coefficient of determination (R²) of 0.133 indicates that both variables explain 13.3% of the variance in passenger loyalty. The customer experience variable has a more dominant influence than digital experience on Progo Train passenger loyalty.

This research examines the influence of Price, Income, Taste, Promotion, Location, and Product Quality on consumer demand at Coffee Shops in Pekanbaru City. The population consists of Coffee Shop customers in Pekanbaru City. A nonprobability sampling method with Accidental Sampling technique was applied, involving 100 respondents. Data were analyzed using SEM-PLS approach through SmartPLS 4.0 software. The findings reveal that Price, Promotion, and Product Quality significantly influence consumer demand. In contrast, Income, Taste, and Location do not show a significant effect. Among all variables, Product Quality emerges as the most dominant factor affecting consumer demand at Coffee Shops in Pekanbaru City. Therefore, coffee shop managers in Pekanbaru City need to improve taste consistency, menu variety, presentation, and product quality standards to maintain and increase consumer demand. This research is expected to provide business owners with a basis for formulating more appropriate, competitive, and sustainable customer satisfaction-oriented marketing strategies in the local market.

In today's rapidly developing era, advances in digital technology have brought significant changes to various fields, including the music industry. Music production processes that once relied heavily on analog equipment can now be carried out digitally through various software applications, one of which is Fruity Loops Studio (FL Studio). FL Studio is a digital music production software that is relatively easy for beginners to learn and is widely used in the creation of digital music. This technology enables individuals to create, record, edit, and produce music more efficiently without requiring expensive studio equipment. Therefore, proficiency in digital music production technology has become a relevant and essential skill for professional, educational, and creative industry purposes. Training in recording, mixing, and mastering techniques using FL Studio is one approach to enhancing the competencies of youth communities engaged in music activities. One of the target groups of this program is the K-Tong Lasiana Youth Community, a community actively involved in music creation, particularly ethnic music. However, their musical works are still primarily focused on live performances and have not been widely produced in digital recording formats due to limited knowledge and skills in digital music production. As a community service initiative, this training program is designed to equip community members with fundamental knowledge and practical skills in digital music production, enabling them to create high-quality musical works and distribute them through various digital platforms so that they can reach a broader audience.

In the digital era, job-seeking mechanisms have evolved through e-recruitment platforms, particularly for Gen Z fresh graduates. However, seamless digital access does not inherently trigger a high intention to apply for jobs, suggesting a complex interplay between internal psychological states and external technical factors. Objective: This investigation empirically examines the extent to which self-efficacy and the effectiveness of e-recruitment systems influence the intention to apply for jobs among Gen Z fresh graduates in Tasikmalaya Regency. Methodology: This study employed an explanatory quantitative approach involving 80 subjects selected via purposive sampling. Data evaluation was conducted through Multiple Linear Regression analysis using SPSS software. Findings: The research data demonstrates that both self-efficacy and digital recruitment systems exert a positive and significant impact on job application intentions, both independently and simultaneously. Furthermore, self-efficacy was identified as a more dominant predictor compared to recruitment technology. An R-Square value of 0.590 indicates that these two variables account for 59% of the variation in job application intentions. Implications: Companies are encouraged to continuously modernize their recruitment infrastructure while considering the psychological readiness of applicants and strengthening corporate branding to attract high-potential new graduates.

Digital literacy is an essential competency that secondary school students must possess to face the rapid development of technology in the digital era. However, many students still lack adequate understanding of basic information technology concepts, digital security, and the responsible use of technology. This community service activity aimed to improve students' digital literacy through a basic information technology introduction program. The methods employed included preliminary observation, pre-test administration, educational sessions, hands-on practice, discussions, and evaluation through post-tests. The training materials covered computer hardware and software fundamentals, effective internet usage, digital security, and ethical behavior in digital environments. The results indicated a significant improvement in students’ knowledge and digital skills after participating in the program. Students became more capable of accessing, evaluating, and utilizing digital information critically while understanding the importance of cybersecurity and ethical technology use. Furthermore, the high level of participant engagement demonstrated that the program was relevant to students’ needs in today's digital society. Therefore, the basic information technology introduction program proved effective in enhancing digital literacy among secondary school students and can serve as a strategic initiative to prepare young generations to adapt to technological advancements and future digital challenges. Community Service, Digital Education, Digital Literacy, Information Technology, Secondary School

The Indonesian Archipelagic Sea Lane II (ALKI II) constitutes a strategic route stretching from the Sulawesi Sea to the Indian Ocean with trade values reaching USD 1.5 million daily and traversed by more than 36,773 vessels annually. The complexity of maritime security threats in this region has increasingly intensified following the relocation of the capital city to East Kalimantan, thereby demanding an effective decision support system to assist Indonesian Warship Commanders in making operational decisions that are rapid, accurate, and in accordance with applicable legal provisions. This research employs a qualitative approach through in-depth interviews with four maritime expert sources, with data analysis using NVivo 12 software. Analysis results identified maritime operational complexity and the urgent need for a comprehensive decision support system. These findings subsequently served as guidance in designing a Decision Support System (DSS) with a tab-based interface that integrates international legal frameworks such as UNCLOS 1982, Law No. 3/2025 on TNI, and related national regulations to generate structured action recommendations along with their legal foundations. Research findings demonstrate that the developed DSS successfully integrates operational, legal, and situational aspects to support decision-making that is rapid, accurate, and legally compliant. This system has proven to enhance the effectiveness of Indonesian Warship Commanders in addressing the complexity of maritime security (KAMLA) challenges in ALKI II through the provision of legally-based action recommendations from national and international frameworks accessible in realtime during operational situations.  

The advancement of technology and information, which coincides with digitalization alongside the development of Artificial Intelligence (AI), has colored human social life around the world. Currently, cadets of the Naval Academy often use gadgets/digital tools to access information or other media. With this, there are emerging threats that are very dangerous for individuals and the state. An currently prevalent case is Cyber Crime Identity Theft. Cyber crime identity theft refers to the crime of stealing someone's personal information online for the purpose of fraud or financial gain by stealing personal data such as names, identity numbers, and financial information, to carry out illegal transactions or obtain illegal benefits, which can lead to financial loss and damage the victim's reputation. Indonesia still has a very high number of cases of cyber crime identity theft, but it should be preventable by fostering. the cyber security awareness of cadets at the Naval Academy of the Indonesian National Armed Forces. The conclusion of this research is that by strengthening modern technological infrastructure, both equipment and administrative services, developing modern software and hardware with strong security systems, and tightening regulations regarding access to users' personal data in cyber services, supported by strengthening cyber security institutions, it can enhance the cyber security awareness of cadets at the Naval Academy of the Indonesian National Armed Forces.

Children's literacy can be improved through interactive learning media. A digital children's story platform, previously a mobile application, required web version development to expand user accessibility via browsers. The main challenge in this development was presenting multimedia content such as text, images, and audio dubbing synchronously scene-by-scene without degrading system performance, as well as facilitating reader interaction through a rating feature. This research aims to design and develop the platform using a Decoupled Architecture approach. The software development method used is Waterfall, encompassing requirement analysis, system design (UML, CDM, and PDM), implementation, testing, and maintenance. During implementation, ReactJS is utilized on the client-side for responsive interface rendering and state management, while Laravel is implemented on the server-side as a RESTful API provider to manage multimedia asset transmission, rating records, and the MySQL database. Functional system testing was evaluated using Black-box Testing, while user experience was validated using Spearman's Rank Correlation. The results indicate that this architectural separation (front-end and back-end) effectively resolves server overload issues commonly found in monolithic architectures and produces a seamless, stable asynchronous data transmission system across various devices.

Manual handling is still commonly performed across all occupational sectors, particularly by workers in production and warehouse roles. This situation indicates that warehouse workers face a relatively high physical workload due to manual handling activities, which can potentially lead to musculoskeletal disorders (MSDs). This study aims to analyze the relationship between workload in manual handling activities and MSD complaints using the recommended weight limit (RWL) method at Warehouse AB. This study employs a cross-sectional design and total sampling, with a population of 29 workers in the goods lifting and transport section at Warehouse AB. The independent variables examined in this study included workload, age, and body mass index (BMI). The dependent variable in this study was MSD complaints. This study was conducted through observation, measurement, and interviews. The measurement results will be analyzed using IBM SPSS Statistics 27 software with Spearman’s rank correlation test. The results of the correlation test indicate that there is no association between workload, age, and BMI in manual handling activities and MSD complaints. Relevant parties are encouraged to implement the use of back supports and carts as a form of early prevention against MSD complaints.

In an increasingly competitive business environment, particularly within the tourism industry, an organisation's ability to innovate and design effective strategic planning has become a critical factor in sustaining and improving organisational performance. This study aims to analyse the effect of innovation and strategic planning on organisational performance at Kampung Coklat Blitar Educational Tourism. This study employed a quantitative approach, with data collected through questionnaire distribution involving 53 respondents. The sampling was conducted using a saturated sampling technique (census), in which all members of the population were used as research samples. The sampling criteria consisted of senior-level active employees with a minimum of eight years of work experience and managers at Kampung Coklat Blitar Educational Tourism. Data analysis was carried out using the SPSS software. The results of the study indicate that innovation has a positive and significant effect on organisational performance with a P-value of 0.006 and a T-statistic of 2.869. Furthermore, strategic planning also has a positive and significant effect on organisational performance with a P-value of < 0.001 and a T- statistic of 5.573.

Digital documents have become an essential medium for storing, managing, and distributing information in various sectors. Nevertheless, the risk of document alteration and forgery requires an effective mechanism to verify document authenticity. This research focuses on the implementation of Base64 and Pepper methods in a QR Code-based document verification system. The system was developed following the Waterfall software development model, which consists of requirement analysis, system design, implementation, and testing stages. A web-based application was created using PHP and MySQL. Verification tokens were produced from document identity data combined with a Pepper value, encoded using Base64, and embedded into QR Codes attached to PDF documents. During verification, the QR Code is scanned and the extracted token is compared with records stored in the database. Experimental results demonstrate that the proposed system is capable of verifying document authenticity accurately and efficiently. Furthermore, Black Box Testing confirmed that all implemented functions operated as expected. Therefore, the integration of Base64 and Pepper contributes to improving the security and dependability of digital document verification.

The purpose of this study is to determine and analyze the influence of service quality and price perception on purchasing decisions of Dolok Masihul counter customers, both directly and indirectly through purchase intention as an intervening variable. This type of research is explanatory research that explains the causal relationship between variables through hypothesis testing. The sample used in this study was 101 respondents with proportional random sampling technique. The test tool used was Partial Least Square (PLS) using SmartPLS 3.0 software. From the results of this test it can be concluded that service quality does not have a significant effect on purchasing decisions. Price perception does not have a significant effect on purchasing decisions. Purchase intention has a significant effect on purchasing decisions. Service quality does not have a significant effect on purchase intention. Price perception has a significant effect on purchase intention. Service quality does not have a significant effect on purchase decisions through mediation from purchase intention. Price perception has a significant effect on purchase decisions through mediation from purchase intention.

Project scheduling is a critical aspect of ensuring the successful implementation of construction projects, particularly bridge projects that involve a high degree of complexity. Poor schedule quality may result in project delays, inaccurate critical path identification, and inadequate project control. This study aims to evaluate the schedule quality of a pile slab bridge project using the Defense Contract Management Agency (DCMA) 14-Point Schedule Assessment method, supported by Oracle Primavera P6 software. The study employed a quantitative descriptive method with a case study approach applied to an existing baseline schedule. The assessment results indicate that several parameters have satisfied the DCMA standards, including relationship type, hard constraints, soft constraints, negative float, large duration, and invalid progress. Conversely, several parameters remain non-compliant with the established standards, namely network logic, positive lag, large float, resources/cost, and the Baseline Execution Index (BEI). This study concludes that the project schedule has not fully adhered to the principles of a network-driven schedule and continues to function primarily as an administrative time schedule. The findings of this study offer practical contributions to construction project management by providing recommendations that encompass the refinement of network logic relationships, reduction of excessive lag usage, implementation of resource and cost loading, and progress updates based on the established baseline, thereby enabling the schedule to serve as a more effective, reliable, and integrated project control tool

The quality of boiler feedwater is a crucial factor in maintaining the operational reliability of ship machinery systems against the risks of corrosion and scale formation. This research focuses on the design and development of a real-time monitoring system based on the Internet of Things (IoT) to automatically determine water quality. The hardware development utilizes a NodeMCU ESP32 microcontroller that integrates four main sensors: a pH sensor, a DS18B20 temperature sensor, a Total Dissolved Solids (TDS) sensor, and a turbidity sensor. The methodology applied is an experimental systems engineering model, encompassing circuit design, software programming, and the implementation of simple artificial intelligence. The automatic decision-making process in this tool is designed using zero-order Sugeno fuzzy logic with input parameters of turbidity, salinity, and acidity level (pH). The obtained data is transmitted wirelessly to a Firebase database and visualized through a 0.96-inch OLED display. Functional tests on seven fluid characteristics including pure water, hard water, and muddy water show that this prototype can accurately classify water quality into Good, Fair, and Poor categories. The main contribution of this design is the provision of a preventive, efficient, and applicable boiler maintenance solution for the modern shipping industry.

Gravity measurements in the Dieng geothermal area at regional and wide scales are still limited. GGMplus data provides large-scale gravity information that can be used for subsurface mapping more efficiently and at lower cost while maintaining optimal results. The GGMplus gravity acceleration data is processed into complete Bouguer anomalies, then separated using upward continuation to obtain regional and local anomalies. Both anomalies are further analyzed using the first horizontal derivative (FHD) and second horizontal derivative (SHD). The results are then used for 3D modeling using Grablox and Bloxer software. The Bouguer anomaly distribution ranges from approximately ‒70 to ‒230 mGal, with high anomalies located in the northeast of the study area, corresponding to geothermal manifestations in Dieng. FHD analysis indicates a regional anomaly source located 6.8 km northeast, interpreted as a magmatic zone. Local anomalies reveal an intrusion body about 2 km in size at a distance of 4 km in Mount Prau, interpreted as a heat source. The 3D model shows high-density values of 2.87 g/cm³ for regional anomalies and 2.8–2.9 g/cm³ for local anomalies, associated with ancient volcanic rocks and diorite intrusions acting as a heat source in the Sikidang–Merdada geothermal system.