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The development of information technology has affected a large number of sectors, one of which is the culinary industry, namely Cafe D'Carlos located in Parepare. This cafe has problems with the manual catering ordering process due to impracticality, recording errors, and long processing times. This study aims to design and develop a web-based catering ordering application to improve operational efficiency and service quality. In general, the development method for various applications tends to be the same depending on the case being handled. The method used includes several stages, namely: literature study, observation, system design using UML, implementation with PHP programming language and testing with the black box method. The features available in this application consist of main features including user registration, menu package selection, online ordering, payment, order and data management by the admin. The results of the application testing indicate that the system has run according to its function, namely it can reduce frequent order compliance, speed up the ordering process and increase customer satisfaction.

Perkembangan sistem informasi dan teknologi informasi telah membawa perubahan signifikan dalam hampir semua aspek kehidupan manusia. Semua aspek kehidupan telah dipengaruhi oleh kemajuan teknologi informasi seperti internet, salah satunya adalah pendidikan. Saat ini di SMK Negeri 1 Ende masih menggunakan Microsoft Excel dalam pengolahan data siswa-siswi Praktek Kerja Lapangan (PKL) sehingga mengalami beberapa kendala seperti rentan terhadap kesalahan pencatatan, duplikasi data, serta kesulitan dalam proses pencarian dan pelaporan informasi. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi pengolahan data siswa-siswi PKL berbasis web dengan menerapkan metode pengembangan perangkat lunak Agile. Metode Agile dipilih karena fleksibilitasnya dalam menyesuaikan kebutuhan pengguna secara iteratif dan bertahap. Sistem yang dikembangkan menyediakan fitur-fitur seperti input data siswa, data guru pembimbing, data lokasi, pembagian lokasi dan laporan sehingga mempermudah pengolahan serta meningkatkan efisiensi dan akurasi data.

This research is motivated by the results of initial observations that the Environmental Observation Strategy in the Development of the Ciung Wanara Area by the Ciamis Regency Tourism Office is not optimal. The purpose of this study is to determine the Environmental Observation Strategy in the Development of the Ciung Wanara Area by the Ciamis Regency Tourism Office. The method used in this study is a qualitative research method. There are 5 informants. Data collection techniques are literature studies, field studies (observations and interviews) and documentation. The author uses qualitative data analysis techniques through processing data from interviews and observations to draw conclusions so that they can answer the problems in the study. Based on the results of the study, it is known that: The Environmental Observation Strategy in the Development of the Ciung Wanara Area by the Ciamis Regency Tourism Office is not optimal, this is due to the lack of human resources in the Tourism Office so that it is still rare to provide training to staff, therefore to overcome the obstacles faced in the environmental observation strategy in the development of the Ciung Wanara area, the Tourism Office seeks to provide periodic HR competency improvement training, so that by conducting training, the HR competency owned will increase.

The purpose of this study was to analyze the effect of mental workload on employee performance, the effect of work stress on employee performance, the work environment on employee performance and to analyze the effect of mental workload, work stress, and work environment simultaneously on the performance of employees of PT. Nutrisius Sari Persada. This research design uses quantitative methods with an associative approach and data collection techniques of library research and field research. Data analysis techniques using descriptive statistical analysis techniques using data processing tools Structural Equation Modeling (SEM) with SmartPLS software by testing mental workload variables (X1), work stress (X2), work environment (X3) and employee performance (Y). The results of this study indicate that the mental workload variable (X1) on employee performance (Y) has a T-test value of (2.013> 1.96) and P values of (0.045 < 0.05), the work stress variable (X2) has a T-test value of (10.237> 1.96) and P values of (0, 000 < 0.05), the work environment variable (X3) has a T-test value of (2.013> 1.96) and P values of (0.045 < 0.05), so it can be concluded that the mental workload variable (X1), work stress (X2) and the work environment (X3) have an influence on employee performance (Y). While simultaneously mental workload (X1), work stress (X2) and work environment (X3) variables on employee performance (Y). The results of the analysis of the coefficient of determination (R2) obtained a value (Adjusted Rsquare) of 0.973, meaning that all independent variables are declared strong with a value of 97% and the remaining 3% is influenced by other variables outside the Mental Workload, Work Stress and Work Environment variables.

This study examines the integrity of general elections through the lens of prophetic journalism. A qualitative approach was employed to explore the perspectives and experiences of institutional administrators, community leaders, and local residents regarding electoral integrity grounded in prophetic journalism. This approach emphasizes the importance of relationships among various actors in the public policy process, including government institutions, non-governmental organizations, and the private sector. The research was conducted at the East Java Provincial General Election Commission (KPU), with data collected directly by the researcher through observation of words and actions. Data collection was carried out holistically and integratively, focusing on relevance to the study objectives. Data analysis involved systematically searching, organizing, and processing all interview transcripts while ensuring validity through careful verification procedures. The results indicate that electoral integrity can be maintained effectively through a combination of deliberative democracy and prophetic journalism. In this context, the media functions not only as an information distributor but also as a moral agent ensuring transparency, accountability, and fairness throughout the electoral process. Campaigns to validate and counter hoax news during elections are most effective when prophetic journalism is integrated with agenda-setting theory, allowing the media to shape public perception through information filtering, digital literacy education, and the delivery of objective and ethical reporting. Prophetic journalism also serves as a social control mechanism, reinforcing transparency and oversight by combining the press’s watchdog function with principles of honesty, responsibility, and wisdom, preventing electoral manipulation and safeguarding democratic integrity.

Sustainable development is one of the main priorities in an effort to maintain a balance between economic growth, environmental sustainability, and social welfare. Green financial instruments such as Green Bonds and the implementation of Green Budget Tagging have emerged as important strategies in supporting the sustainable development agenda in Indonesia. This study aims to analyze the effect of green bonds and green budget tagging on the achievement of sustainable development. The method used is a quantitative approach with regression analysis, where green bonds and green budget tagging are independent variables, while sustainable development is the dependent variable. The data used are annual time series data from 2018-2023. Data processing was carried out using the SPSS 25 program. The results of the study indicate that partially Green Bonds do not have a significant effect on sustainable development in Indonesia (statistical t significance value 0.970 > 0.05). Green Budget Tagging has a significant effect on sustainable development in Indonesia (statistical t significance value 0.021 < 0.05). Simultaneously, both variables significantly influence sustainable development in Indonesia (F-statistic significance value 0.034 < 0.05). This finding indicates that optimizing green bond issuance and implementing green budget tagging can strengthen green financing and ensure budget allocation is more focused on sustainable programs. The implications of this research emphasize the importance of the government and related institutions' commitment to expanding green financial instruments as a key pillar in supporting inclusive and environmentally sound development in Indonesia.

This study focuses on analyzing the Exit Permit Only (EPO) Crewing Services organized by PT. Samudra Shipping Agency in cooperation with the Dumai Immigration Office. The EPO service plays a crucial role in ensuring legal compliance regarding the movement of foreign seafarers who are executing a sign-off (leaving the vessel) within Indonesian territory. The main objectives of this research are to examine the operational procedures, analyze the role of the shipping agency, and evaluate the effectiveness of the synergy between the agency and the immigration authorities in processing immigration documents. The research methodology employed is a combination of field research (field research), which involves observation and the collection of practical data, and literature review (library research) to strengthen the regulatory and theoretical foundation. The findings indicate that the success of the EPO service is highly dependent on the effective synergy between PT. Samudra Shipping Agency and the Dumai Immigration Office. The shipping agency holds a vital role in handling the entire crew sign-off process and is fully responsible for managing the temporary stay permits for foreign crew members through the issuance of a Dahsuskim (Special Immigration Document). The improvement in the quality of this EPO service not only provides operational benefits for the agency and the crew involved but also substantially supports the government's efforts to supervise the movement and presence of foreign workers in an orderly and legal manner. Optimizing this procedure will enhance efficiency and regulatory compliance in the port area.

The increasing demand for cloud computing services has led to the rapid expansion of cloud data centers, which consume significant amounts of energy and contribute substantially to global CO2 emissions. As the IT industry grows, the environmental impact of these data centers becomes an urgent concern. Green Cloud Computing (GCC) has emerged as a solution to mitigate this impact by focusing on energy efficiency and reducing carbon footprints while maintaining the necessary functionality and performance of cloud infrastructures. However, traditional blockchain consensus algorithms such as Proof of Work (PoW) and Proof of Stake (PoS) face limitations regarding energy consumption and scalability, which exacerbates the environmental burden. This study proposes a quantum-inspired blockchain consensus algorithm designed to optimize energy consumption and reduce latency in cloud data centers. By integrating quantum principles such as superposition and entanglement, the algorithm enhances task scheduling and resource utilization, enabling more energy-efficient operations without sacrificing performance. Simulations in a green cloud environment showed that the quantum-inspired algorithm resulted in up to a 30% reduction in energy usage compared to traditional consensus methods, with a 40% improvement in consensus processing time. These results suggest that quantum-inspired algorithms hold significant potential for enhancing the sustainability of cloud infrastructures by improving energy efficiency and scalability. Furthermore, this study discusses the feasibility of implementing quantum-inspired algorithms on classical hardware, addressing challenges in scalability and integration into existing blockchain frameworks. The findings provide valuable insights into the potential of quantum-inspired technologies to drive energy-efficient solutions in cloud computing.

This research aimed to determine whether accounting knowledge, business experience, and work motivation influence the perception of using accounting information among MSMEs actors in Nita Village. The method used was a quantitative method. The population in this research consisted of all MSMEs actors in Nita Village, totalling 80 people. The sample used in this research was determined by Slovin's formula with a 10% margin of enor, resulting in a sample size of 44 people. The sampling technique used in this research was Simple Random Sampling. The data used in this research were quantitative data obtained through respondents completing questionnaires using a Likert seale. Data processing in this research used the SPSS (Statistical Package for the Social Sciences) program, version 2025. The research results showed that accounting knowledge influences the perception of using accounting information among MSMEs actors in Nita Village, as indicated by a t-statistic value of 2.789, which was greater than the t-table value of 2.021, or 2.789 > 2.021. Business experience did not influence the perception of using accounting information among MSMEs actors in Nita Village, as indicated by a t-statistic value of 0.101, which was smaller than the t-table value of 0.920, or 0.101 <0.920. Work motivation did not influence the perception of using accounting information among MSMEs actors in Nita Village, as indicated by a t-statistic value of 2.318, which was greater than the t-table value of 0.021. or 2.318>0.021.  

The DH Building of the Electrical Engineering Study Program at Udayana University faces significant challenges in energy efficiency, as it still relies on conventional electrical systems. User negligence, such as forgetting to switch off lights and air conditioners (AC) after use, often results in unnecessary energy waste and increased operational costs. This issue highlights the urgent need for smart solutions capable of automating energy management, reducing waste caused by human error, and supporting the creation of a more efficient and sustainable campus environment. To address this problem, this study designs and implements a smart building system based on the Internet of Things (IoT). The system employs a NodeMCU ESP32 microcontroller as the main processing unit, integrated with a series of sensors including a DHT22 sensor for monitoring temperature and humidity, an MQ2 sensor for smoke detection, a PIR sensor for motion detection, and a PZEM-004T sensor for monitoring energy consumption. Control of electronic devices such as lights and AC units is carried out both automatically and manually through relay modules connected to the system. All sensor data and control functions are accessed via a web interface developed using the Laravel framework and a MySQL database. The testing results indicate that the designed system was successfully implemented and functions as expected. Sensor testing demonstrated high accuracy compared to standard measuring instruments, while the electronic device control system achieved an average response time of approximately 3.6 seconds, proving its reliability. Overall, the system provides a comprehensive solution for energy consumption monitoring and control, while also enhancing comfort and safety in the DH Building, in line with the goals of energy efficiency and facility modernization.

Refill Drinking Water Depots (DAMIU) are businesses that provide ready-to-drink drinking water through raw water processing using simple and modern technology. The existence of DAMIU is very important in meeting the community's need for drinking water, but aspects of sanitation hygiene and water quality must remain a primary concern to avoid health risks. This study aims to describe the sanitation hygiene conditions and assess the microbiological quality of refill drinking water at DAMIU in the Indralaya Community Health Center working area in 2025. The study used a descriptive method with a laboratory approach to 27 refill drinking water depots. Data were collected through observations of location conditions, buildings, equipment, and handler hygiene, and laboratory examinations were conducted on raw water and processed water samples. The results showed that the majority of depots (92%) had met the requirements related to location and buildings, while all depots (100%) met the standards for processing equipment. However, drinking water handlers still did not comply with applicable hygiene standards (100%). Only 70% of depots had suitable raw water sources, with 55% using the Sukomoro source, 41% using drilled wells, and 4% using the Dewa Air Prabumulih source. Laboratory tests found that two depots (8%) had raw water that tested positive for Escherichia coli, but all treated water samples met established microbiological standards. Overall, this study concluded that the location, building, and equipment of the Drinking Water Supply Unit (DAMIU) in the Indralaya Community Health Center (Puskesmas) area were satisfactory, but handler hygiene remained a weakness that needed immediate improvement. Furthermore, the physical and chemical quality of the water still required attention, although the microbiological quality met standards.  

Community Service Program (KKN) is a form of student community service by directly applying scientific knowledge in the field. The 2025 Unimed KKN was conducted in Durin Simbelang Village, Pancur Batu District, Deli Serdang Regency, with the aim of empowering local potential and improving the quality of education, social, and environmental aspects of the village. This research used a qualitative descriptive approach with participatory methods, in which students actively engaged with the community in each program. Data were collected through observation, interviews, documentation, and direct participation, then analyzed descriptively through the stages of reduction, presentation, and conclusion. Research findings indicate that the Community Service Program (KKN) has had a significant impact in various aspects. In the economic sector, the downstreaming and marketing of processed starfruit products has successfully improved residents' skills in processing harvested produce into value-added products. In the educational sector, activities such as "Ceria Calistung Ceria," "Si Cerdik Math," "English Fun Club," "Savings for Small Change," "Education for the Creative Economy," and "Wisdom Digital Literacy" have proven effective in improving academic skills, creativity, and positive character traits among the younger generation. In the social and environmental aspects, the "gotong royong" (mutual cooperation) program, rhythmic gymnastics, educational trash signage, volleyball court construction, gate decoration, and 17th August competitions have strengthened social cohesion, raised awareness of healthy living, and increased concern for environmental cleanliness.

Financial management in hospitals is a crucial aspect to ensure the sustainability of quality health services. However, the complexity of financial data, which involves various budget components, often creates challenges for hospital management in conducting accurate analysis and budget planning. Therefore, a data-driven approach is required to present financial information in a structured and comprehensible manner. This study examines the application of the K-Means Clustering method to classify hospital financial data based on expenditure characteristics and patterns, with a case study at RSUD Rantau Prapat as part of a community service program. The financial data were analyzed through pre-processing stages, determination of the optimal number of clusters using the Elbow Method, and the implementation of the K-Means algorithm to generate more representative budget groups. The results indicate that clustering hospital financial data into three main categories—routine operational costs, medical service costs, and administrative/personnel costs—provides clearer insights into budget distribution. This supports hospital management in identifying budget allocation priorities, detecting potential inefficiencies, and improving the overall efficiency of financial governance. The limitation of this study lies in the data scope, which only involved a single hospital, thus restricting its generalizability. Future research is recommended to expand the scope to multiple hospitals and integrate alternative clustering methods to obtain more comprehensive results.

The rapid development of technology has greatly assisted human work in various fields, including education. One tangible outcome of technological progress is the availability of Microsoft Office applications, which consist of Microsoft Word, Microsoft Excel, and Microsoft PowerPoint. Microsoft Word functions as a word processing software that allows users to create, edit, and format documents, while Microsoft Excel is used for managing numbers and data, and PowerPoint plays an important role in preparing engaging presentations. However, the teachers at SD Masehi Kadu Eta are not yet able to operate Microsoft Word, Excel, and PowerPoint optimally, as the school has never conducted any specific training. Therefore, this community service program focused on providing training on how to utilize Microsoft Office for teachers at SD Masehi Kadu Eta. The training aimed to improve teachers’ knowledge and skills in using information technology, particularly in operating Microsoft Word, Excel, and PowerPoint. Through this program, teachers gained not only new experiences but also basic skills that can support their daily tasks, such as preparing school administration documents, creating reports, and developing more systematic teaching materials. The results of the program showed that the training provided significant benefits. Teachers demonstrated strong enthusiasm, actively participated in every session, and showed improvement in their understanding of Microsoft Office applications. They also expressed their expectations for similar activities to be carried out regularly so that their skills could continue to improve and better equip them to face the ongoing development of information and communication technology in the future.

Noise is a physical hazard in the work environment that caan reduce hearing loss, especially in the rubber processing industry. The research aims to describe the noise level and control efforts in the production area of PT. Karet XYZ Palembang City in 2025. This study uses a descriptive design with a cross-sectional approach.  Data were collected through direct noise level measurements using sound level meters at wet and dry production areas by taking 8 measurements and questionnaires on 75 selected purposive sampling workers.  Data analysis was carried out univariately. It shows that most of the measurement points have a noise level above the threshold value of 85 dBA in accordance with the Regulation of the Minister of Health of the Republic of Indonesia Number 70 of 2016. The highest values were recorded in the Hummer Mill engine (89,76 dBA) and the Cooling Tunnel (89,70 dBA). All respondents were exposed to noise for ≥8 hours/day. Noise control has been carried out with administrative techniques and the use of personal protective equipment (PPE) but has not been fully effective from the complaints of 7 workers regarding suboptimal protection. The noise level at PT. Karet XYZ and duration of exposure exceeding threshold values that increase the risk to workers health. It is necessary to increase the effectiveness of noise control with a technical, administrative approach and monitoring the optimal use of personal protective equipment (PPE).

The Household Food Industry (IRTP) of pempek in 7 Ulu Subdistrict, Palembang City plays an important role in providing traditional food and supporting the local economy, yet hygiene and sanitation conditions remain a concern due to the risk of foodborne diseases. This study aimed to describe the hygiene and sanitation conditions of pempek processing facilities in IRTPs in 2025. A descriptive cross-sectional design was applied involving 52 food handlers from 19 IRTPs selected through total sampling, with data obtained through observation and interviews using checklists and questionnaires. The majority of food handlers were aged 25–42 years (73%), female (94.2%), and had elementary to junior high school education (67.3%), with most having ≤10 years of work experience (86.5%). All equipment hygiene conditions failed to meet the requirements (100%). Food handlers’ hygiene knowledge was mostly moderate (55.8%), while hygiene principles were fulfilled in 84.2% of IRTPs. In terms of sanitation, only 52.6% of buildings met the standards and 42.1% of sanitation facilities were adequate. In conclusion, hygiene and sanitation conditions in pempek IRTPs in 7 Ulu Subdistrict remain varied, with several key indicators unmet, thus requiring continuous supervision, education, and coaching to improve compliance with health standards.

This research aims to examine the effect of Return on Equity (ROE), Asset Structure, and Current Ratio (CR) on Capital Structure in the company PT Mayora Indah Tbk, which is listed on the Indonesia Stock Exchange (IDX) for the period 2015–2023. The data used in this study are secondary data obtained from the company’s annual financial reports during the research period. The research employs a quantitative approach, and the data sources are documentary in nature, focusing on publicly available financial statements.The analytical method used is multiple linear regression analysis, with data processing performed using SPSS software. This method allows the researcher to assess the impact of each independent variable on the dependent variable both partially and simultaneously. The results of the partial hypothesis testing indicate that the Return on Equity (ROE) variable has a positive and significant effect on Capital Structure, suggesting that higher profitability encourages the company to utilize more debt financing. On the other hand, the Asset Structure variable shows no significant negative effect on Capital Structure, indicating that the proportion of fixed assets does not play a decisive role in influencing capital structure in this case. Meanwhile, the Current Ratio (CR) has a negative and significant effect, implying that companies with higher liquidity tend to rely less on external debt. Simultaneously, the three variables—ROE, Asset Structure, and CR—have a significant influence on Capital Structure. These findings can serve as a reference for corporate financial management in optimizing capital structure decisions.

Elementary education is the fundamental stage in shaping students’ character, attitudes, and learning motivation. Learning interest plays a vital role in determining students’ success in understanding and mastering the lessons. However, differences in background, abilities, and learning styles often cause significant variations in students’ interest. Therefore, it is necessary to apply an analytical method that can group students based on their level of learning interest so that teachers can provide appropriate learning strategies. This study aims to implement the K-Means Clustering algorithm to identify the learning interest of students at Sekolah Dasar Negeri Puu Naga. The research method used is a quantitative approach with data collected through questionnaires consisting of several indicators of learning interest, such as perseverance in completing assignments, enthusiasm during lessons, attention to teacher explanations, and participation in class activities. The collected data were then analyzed using the K-Means algorithm to form several clusters of learning interest. The data processing stages included determining the number of clusters, selecting the initial centroid, calculating the distance of data to the centroid, grouping data, and iterating until a stable clustering result was achieved. The results of the study show that the K-Means algorithm successfully grouped students into three main categories, namely high, medium, and low learning interest. Students in the high-interest group consistently demonstrated active learning behavior and strong intrinsic motivation, while those in the medium group showed fluctuating interest influenced by external factors such as the learning environment and teaching methods. Meanwhile, students in the low-interest group displayed a lack of attention and motivation, thus requiring special interventions. These findings provide valuable insights for the school, especially teachers, in designing adaptive and personalized teaching strategies. In conclusion, the application of the K-Means algorithm is proven effective as an analytical tool to identify students’ learning interest.

This research develops an automated temperature control system for water heaters, that is both efficient and stable, driven by the need for energy-saving heating solutions, particularly for marine applications. The main objective was to create an automatic system capable of maintaining water temperature within an optimal range while maximizing energy efficiency through the use of thermal storage materials. The methodology involved an on-off control system based on a microcontroller as the main controller, capable of processing temperature sensor data in real time. This system intelligently activates and deactivates the heater to keep the water temperature stable. Paraffin wax was used as a latent heat storage medium, playing a crucial role in gradually storing and releasing thermal energy to support temperature stability. An automatic water heater system based on the ESP32 microcontroller with an on-off control mechanism was successfully designed using paraffin wax combined with silica sand as a thermal storage medium. The addition of silica sand significantly enhanced heat conductivity and temperature stability. Test results showed a substantial reduction in energy consumption, with daily savings reaching Rp12,762.88, equivalent to 67% of total daily energy costs. Over a one-year period, the total savings amounted to Rp4,658,103.20, demonstrating that the paraffin wax–silica sand combination is highly effective in improving energy efficiency and reducing long-term operational costs.

Traffic violations are one of the serious problems frequently occurring in various regions, including Binjai City. Various types of violations, such as disobeying road signs and markings, incomplete vehicle documents, and violations that threaten the safety of drivers and other road users, continue to increase despite preventive and repressive efforts carried out by the authorities. This condition indicates that handling traffic violations cannot rely solely on field enforcement but also requires the support of technology capable of analyzing data more comprehensively. This study aims to predict the level of traffic violations by applying the Naïve Bayes method through data mining techniques. The dataset used consists of traffic violation records in 2023 from the Binjai City Police Department, with the main variables including violations of traffic signs and markings, document completeness, and safety-related violations. The Naïve Bayes method was selected because of its ability to perform classification with good accuracy, simplicity, and efficiency in processing large amounts of data. The implementation of this research is realized by developing a web-based application using Visual Studio Code as the development environment and MySQL as the database system. The results of this study are expected to provide structured information regarding traffic violation patterns, support authorities in making more effective decisions, and serve as an alternative solution in the prevention and handling of traffic violations in Binjai City.