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Advances in information technology have changed the way humans obtain and manage information, including in the world of education. School websites have become an important medium for conveying academic, administrative, and school activity information quickly and efficiently. However, not all educational institutions are able to optimize the functions of their websites. This study was conducted to determine user satisfaction with the website of SMP Negeri 5 Kota Jambi using the Webqual 4.0 model and Importance Performance Analysis (IPA). The research method used was a descriptive quantitative approach with data collection through the distribution of questionnaires to 291 respondents from a total population of 1,065 students. The analysis was conducted by measuring the three main dimensions of Webqual 4.0, namely usability quality, information quality, and service interaction quality, then using IPA to map service improvement priorities. The results showed that most users were satisfied with the quality of the website, particularly in  terms of ease of use and service interaction. However, the timeliness of information updates and the responsiveness of the display on mobile devices still needed improvement. Recommendations for improvement focused on the dimensions in the "Concentrate Here" quadrant of the IPA analysis.

Cashier service plays a crucial role in cooperative operations as it is directly related to members’ financial transactions. Service quality contributes to member satisfaction and loyalty, which in turn affects cooperative performance. This study aims to evaluate the role of cashier services in cooperative performance and member satisfaction at the Koperasi Simpan Pinjam Credit Union Bahtera Sejahtera. A descriptive qualitative approach was employed using observation, interviews, and documentation as data collection techniques. The findings indicate that the cashier service system has generally been implemented well and is positively perceived by members. However, several constraints remain, particularly during peak service hours, including long waiting times caused by the limited number of cashier staff and overlapping responsibilities with customer service functions. These conditions reduce service responsiveness. Nevertheless, cashier services significantly contribute to enhancing member satisfaction and supporting cooperative performance through efficient financial transactions and increased member trust. Improvements in service efficiency and task allocation are therefore recommended to optimize cashier service quality.

Improper water management in rice cultivation can lead to water stress, which reduces productivity. Conventional monitoring has limitations on large-scale lands, necessitating more efficient remote sensing technologies. This study aims to develop a water stress identification system for rice plants in the late vegetative phase using multispectral drone imagery integrated with an Artificial neural network (ANN). The research method employs an experimental approach with six water availability levels in Karyamukti Village, Sumedang. Field reference data were obtained through soil moisture sensors converted into Available Water (AW) values. Image processing stages included orthomosaic reconstruction, leaf object segmentation, and transformation of vegetation indices (NDVI, NDRE, GNDVI, etc.) as model inputs. The results show that the ANN model with a four-hidden-layer architecture achieved training and validation accuracies of 94–95%. In the independent testing phase, the model produced an accuracy of 94.60% with an F1-Score of 93.33%. Spatial visualization of the prediction results indicates a consistent water condition distribution across rice plots. In conclusion, the integration of multispectral drones and ANN provides an accurate non-destructive solution for spatial monitoring of water availability in rice plants.

The digital transformation of health services through the Mobile JKN application was introduced by BPJS Kesehatan to provide easier access for the public in obtaining information, managing membership administration, and receiving health services more quickly and efficiently. This study aims to measure the readiness level of patients at Abdul Manap Regional Hospital, Jambi City, in adopting the Mobile JKN application using the HOT-Fit method, which covers three main components: Human, Organization, and Technology. Data were collected from 360 respondents through questionnaires and analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM). The results indicate that technology factors—including system quality, information quality, and service quality— along with organizational support have a significant effect on system use and user satisfaction, which in turn positively influence the net benefits. The outer loading values of all indicators exceeded 0.7, with Composite Reliability above 0.8 and AVE above 0.6, confirming that the research instruments are valid and reliable. Overall, patients at Abdul Manap Hospital are categorized as ready to adopt Mobile JKN, although improvements in digital literacy and stronger organizational support are still required to optimize its utilization.

Durian Bhineka Bawor is one of the leading local commodities of Alasmalang Village with high economic potential. However, product promotion and marketing activities are still dominated by conventional methods and limited local networks, resulting in restricted market access, low competitiveness, and the absence of structured product information documentation. This community service program aims to address these challenges through the implementation of an interactive website integrated with an AI Agent, serving as a centralized information platform as well as a digital product ordering service. The main objectives of this program are to strengthen local durian branding through the utilization of modern digital technology, expand market reach, and enhance community digital literacy. The implementation method was carried out in several stages, including program coordination and socialization, content needs assessment, website design and development, AI Agent and WhatsApp server integration, system testing, manager training, official deployment, and continuous assistance. The AI Agent provides interactive services in the form of product information delivery, personalized recommendations, and order facilitation directly connected to the admin dashboard and social media platforms, thereby accelerating transaction processes and improving consumer experience. The expected outcomes of this program include the establishment of a more professional, transparent, and efficient promotion and ordering system for Durian Bhineka Bawor products. The developed platform is expected to expand market access, increase product sales, and create new digital-based business opportunities. Furthermore, this program contributes to community empowerment by improving digital skills and technology management capabilities to support local economic independence and competitiveness.

Freshwater fish diseases significantly affect aquaculture productivity and economic sustainability, while accurate visual classification remains challenging due to interclass similarity and image variability. This study presents a comparative evaluation of three deep learning architectures—DenseNet201, ResNet50, and EfficientNetV2-S—using a stepwise optimization strategy combined with Gradient-weighted Class Activation Mapping (Grad-CAM) for freshwater fish disease classification. Models were trained through three phases: baseline, optimized, and fine-tuned. Performance was evaluated using accuracy, precision, recall, F1 score, Matthews correlation coefficient (MCC), Cohen’s kappa, and per-class ROC–AUC. Results show consistent performance improvement across all architectures, with EfficientNetV2-S achieving the highest accuracy (97.14%), followed by ResNet50 (96.11%) and DenseNet201 (94.40%). High ROC–AUC values (>0.98) indicate strong discriminative capability. Grad-CAM analysis confirms that all optimized models focus on biologically relevant lesion regions, enhancing model transparency and reliability.

This study aims to examine how standard costing can be used as a tool for planning and controlling production costs in salted egg cracker micro, small, and medium enterprises (MSMEs). MSMEs need to manage their production costs effectively to increase their profitability in an era of increasingly fierce business competition. A case study was used to collect data through interviews, observations, and financial document analysis. The study shows that the implementation of standard costing has helped more accurate production cost budget planning. This makes it easier for management to compare standard costs with actual costs, which allows for effective and efficient cost control. Furthermore, the findings indicate that standard costing can serve as a benchmark and evaluation tool to improve operational effectiveness. Furthermore, this study suggests that MSMEs should incorporate a standard costing system into their financial reporting process and educate management and employees about the importance of cost control. Therefore, implementing standard costing can be a long-term strategy to keep the company operational and competitive in an increasingly competitive market.

Vaname shrimp (Litopenaeus vannamei) has a fast growth rate, good tolerance to a wide range of salinity and temperature, and resistance to several common shrimp diseases. Vaname shrimp has an efficient feed conversion making it more economical to cultivate, and its international market demand is high. The research method used four treatments of fermented soybean meal doses, namely 0% (control), 15%, 25%, and 35%, each with 3 replications. The feed was formulated using Pearson’s Square method targeting 35% protein, and the soybean meal was fermented using tempe yeast method. The observed parameters included daily growth rate (%), absolute weight gain (grams), survival rate (%), feed utilization efficiency (FUE), and feed conversion ratio (FCR). The results showed that the treatment with 25% fermented soybean meal dose gave the best results with a daily growth rate of 6.42%, absolute weight gain of 0.22 grams, survival rate of 90.66%, and the highest feed utilization efficiency of 0.66.

The white shrimp (Litopenaeus vannamei) is one of the popular marine shrimp species in aquaculture due to its adaptability to various environmental conditions, including a wide range of salinity, and its omnivorous feeding behavior. This study aims to determine the effect of different combinations of stocking density and salinity on the growth rate and post larval survival of vaname shrimp (Litopenaeus vannamei). The research was conducted using factorial planning based on two factors namely stocking density (3, 6, and 9ekor/L) and salinity (15 ppt and 25 ppt). Parameters measured included daily growth rate, absolute weight, survival rate, feed utilization efficiency, and feed conversion ratio (FCR). Water quality observations were also made during the study period including temperature, pH, dissolved oxygen, salinity, and total ammonia. The results showed that the combination of stocking density of 3 fish/L with salinity of 25 ppt gave the best results with a daily growth rate of 0,00664 gram and a survival rate of 86%. This treatment also produced the best feed utilization efficiency of 0.87 and the best FCR value of 1.27, indicating the most efficient use of feed. Water quality parameters during the study were within the appropriate range to support the growth of vanamei shrimp.

The management of kWh meter replacement data at PLN ULP Ampera Palembang is still largely handled through manual recording, which often causes data inconsistencies and delays in monitoring activities. This study aims to design an information system that supports the monitoring of kWh meter replacement data based on actual user needs. The research applies a descriptive qualitative method using the User Centered Design (UCD) approach, where users are actively involved throughout the design process. The stages include understanding the work context, identifying user requirements, developing system design solutions, and evaluating the proposed design. The outcome of this research is a kWh meter data monitoring system design that is expected to facilitate data management, improve accuracy, and support more efficient monitoring processes.

This study aims to determine the effect of selling price and operational costs on fishermen’s income in Menawi Village, Angkaisera District, Kepulauan Yapen Regency. The population in this study consisted of all fishermen in Menawi Village, Angkaisera District, Kepulauan Yapen Regency. The research sample included 15 fishermen. The data collection technique used in this study was observation through interviews with fishermen, and the data were analyzed using multiple linear regression analysis with the assistance of SPSS 21.0 for Windows. The results of this study indicate that (a) there is a significant simultaneous effect of selling price and operational costs on fishermen’s income in Menawi Village, Angkaisera District, Kepulauan Yapen Regency; (b) there is a positive and significant partial effect of selling price and operational costs on fishermen’s income in Menawi Village, Angkaisera District, Kepulauan Yapen Regency, which can form the basis for economic policy and natural resource management in the fisheries sector. This research is expected to provide insight for policymakers in formulating strategies to increase fishermen's incomes through improved selling prices and more efficient operational cost management.

The growth of the culinary industry requires small-scale food businesses to implement effective and efficient operational management. This study analyzes the optimization of operational management at Teen Canteen by examining the use of digital systems, staff performance, the implementation of Standard Operating Procedures (SOP), and operational constraints. A descriptive qualitative approach was employed, with data collected through semi-structured interviews and direct observation. The informant was purposively selected, namely the Head Bar, who is directly involved in daily operational activities. Data analysis was conducted using the Miles and Huberman model. The findings indicate that Teen Canteen’s operational management has not been optimally implemented due to the discontinuation of digital cashier systems, reliance on manual transaction and inventory records, and inconsistent SOP implementation. Although staff performance is generally adequate, issues related to discipline and service responsiveness remain. This study recommends reintroducing digital cashier systems and establishing written SOPs to improve operational effectiveness.

This study discusses clause structures in online news articles published by Detik.com, highlighting the issue of UNNES student Iko Juliant Junior in September 2025. The background of this research lies in the importance of understanding how digital media utilize language structures to convey information effectively, concisely, and objectively. In the context of online journalism, the selection and arrangement of clauses play a crucial role in shaping clarity, focus, and meaning as perceived by readers. The purpose of this study is to describe the forms and types of clauses used in news texts and to explain their functions in maintaining the accuracy and credibility of information delivery. The research employs a qualitative descriptive method with a focus on syntactic studies. The data consist of clauses found in Detik.com news articles published in September 2025, analyzed based on their syntactic components: subject, predicate, object, complement, and adverbial. The findings show that the clause patterns of Subject–Predicate (S–P) and Subject–Predicate–Object (S–P–O) are the most dominant, with verbal predicates appearing most frequently. These patterns reflect the efficient, factual, and easily understood style of online journalistic language. This study contributes to the development of syntactic research and serves as a practical reference for journalists and readers in understanding effective language use in digital media.

Open-pit mining activities in Indonesia contribute significantly to the national economy but require stringent monitoring to mitigate environmental degradation. Conventional monitoring methods relying on terrestrial surveys are often constrained by vast coverage areas, high operational costs, and limited field accessibility. This study aims to develop an artificial intelligence model capable of automatically detecting and mapping mining areas to enhance surveillance efficiency. The applied method is Deep Semantic Segmentation utilizing the U-Net Convolutional Neural Network (CNN) architecture. The model was trained using Sentinel-2 satellite imagery, focusing exclusively on Red, Green, and Blue (RGB) spectral channels to replicate human visual perception. Experimental results demonstrate that the proposed model performs reliable segmentation of mining areas, achieving an Accuracy of 93.58% and a Global Intersection over Union (IoU) of 0.8067. These findings indicate that the U-Net architecture can effectively extract spatial features of mines even when utilizing standard visual data. This research contributes to the development of an efficient, cost-effective, and scalable digital monitoring prototype to support innovation in sustainable environmental governance.

Tobacco is a leading commodity that forms the foundation of the rural economy, but its cultivation faces challenges in the form of labour intensity, significant capital requirements, and farmers' lack of understanding of systematic cost structures. This study aims to analyse the production cost structure and evaluate the economic efficiency of tobacco farming managed by the Batu Daun Farmer Group in Batuan Village, Sumenep Regency. The research method used a qualitative descriptive approach with data collection through in-depth interviews with the head of the farmer group, field observations, and analysis of financial documents as secondary data. The analysis focused on identifying fixed and variable costs, as well as evaluating economic performance using the Break Even Point (BEP) and Revenue-Cost Ratio (R/C) indicators. The results showed that the total production cost was IDR 28,597,500 (fixed costs of IDR 3,450,000 and variable costs of IDR 25,147,500) for the production of 2,800 kg of tobacco with a gross income of IDR 70,000,000. The R/C ratio value of 2.44 (>1) indicates that the business is operating efficiently and profitably, while the BEP of 215.4 kg shows that actual production far exceeds the break-even point, meaning that the business is in an economically safe zone. The results of the study conclude that the tobacco farming business of the Batu Daun Farmer Group is economically viable and efficient.

This study aims to describe the structure, syntactic function, and semantic role of the nominal clause in JawaPos.com news texts published in August 2025. By using a descriptive qualitative approach, this study applied syntactic analysis to explore how the nominal clause operates within the linguistic and contextual framework of media discourse. Data were collected from online news articles and analyzed using Indonesian syntactic and semantic theory. The results show that nominal clauses play a crucial role in constructing discourse structure and meaning through their syntactic functions as subjects, objects, complements, and adverbs. In semantics, nominal clauses perform various roles, including as agents, objects, recipients, and markers of condition or location. The pattern of nominal clause use reflects the concise, efficient, and communicative nature of journalistic language. The correlation between syntactic function and semantic role shows a cohesive relationship that enhances clarity and accuracy in conveying information. This study contributes to the development of syntactic and media linguistic research and serves as a valuable reference for journalists and language educators in promoting effective and ethical language use in journalism.

This study aims to describe the internal structure and syntactic functions of noun phrases in online news articles about demonstration actions published by Detik.com in August 2025. This research employs a qualitative descriptive approach, with observation and note-taking. Data were obtained from five news articles discussing demonstrations, then analyzed to identify the core elements (head) and modifiers, and to determine the syntactic functions of the phrases within sentences. The analysis results show that the most frequently encountered noun phrase pattern is Noun + Noun (N + N), with modifiers on the right that provide explanations of identity, location, or ownership. The most common syntactic function found is as the subject, followed by the object and adverbial of place. These findings confirm that noun phrases play an important role in explaining information and sentence structure in online news texts. Additionally, the use of noun phrases also reflects the media's language strategy in constructing social and political realities through concise, efficient, and information rich language.

This study is based on the need to develop a more effective concentrate ration for lactating dairy cows, as existing formulations in the field are greatly influenced by the availability of ingredients and varying quality. Therefore, this study focuses on optimizing concentrate in dairy cow feed rations to meet SNI standards, which include crude protein (CP), Total Digestible Nutrients (TDN), Calcium (Ca), and Phosphorus (P), with more efficient results in terms of price and nutrition. This study uses the Whale Optimization Algorithm (WOA) metaheuristic approach, which balances the exploration and exploitation processes in finding the best solution to optimization problems. This algorithm has fewer parameters than other metaheuristics such as GA, PSO, and DE. WOA runs naturally in continuous space without the need for genetic operators such as crossover and mutation. The dataset used contains types of dairy cow feed ingredients along with nutritional requirements and prices so that researchers can process the data into efficient feed concentrate that is suitable for lactating dairy cows.

This article examines how meritocracy is institutionalized within the public administration systems of Indonesia and Singapore and how it affects public service quality. Using a descriptive–comparative library research design, the analysis focuses on four dimensions: bureaucratic structure, governing system and political influence, administrative reform and merit mechanisms, and implications for service delivery. The findings indicate that Indonesia’s bureaucracy remains highly hierarchical and decentralized, creating uneven institutional capacity and allowing electoral–political dynamics to influence appointments and rotations, which weakens consistent merit implementation. In contrast, Singapore operates a streamlined and centrally coordinated bureaucracy supported by high political stability, rigorous competency-based recruitment and promotion, transparent performance management, and competitive remuneration, enabling merit principles to be applied more consistently. These differences translate into more uniform and efficient public services in Singapore, while Indonesia continues to experience variability across regions and sectors. Strengthening merit enforcement, oversight, and professional culture is therefore crucial to improve the effectiveness and equity of public services in Indonesia.

Breach of contract disputes with small claim values are often hindered by the lengthy and costly conventional litigation process. To address this issue, the Supreme Court issued PERMA No. 2 of 2015, which was later amended by PERMA No. 4 of 2019 concerning Small Claims Court. This study aims to examine the mechanism for resolving breach of contract disputes through small claims and its effectiveness in achieving the principles of fast, simple, and low-cost litigation. This research uses a normative legal method to analyze the relevant legal procedures and regulations. The findings show that small claims court is effective in streamlining the litigation process, with a resolution time limit of a maximum of 25 working days, much faster compared to regular litigation, which can take much longer. However, the implementation of this mechanism is limited by the requirement that evidence must be simple, which can be a challenge in some cases. Thus, small claims court can be an efficient and affordable solution for business disputes with low claim values.