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The Student Evaluation of Lecturers (EDOM) at the Faculty of Engineering, Universitas Dr. Soetomo has historically been conducted via Google Forms and processed manually, resulting in slow response times, repetitive recap procedures, and insufficiently documented reporting validity. This study aims to design, build, and evaluate a web-based EDOM system using the Prototype Model (MODEL PROTOTYPE) to improve data collection efficiency, recap accuracy, and the effectiveness of feedback for teaching quality assurance. The development method comprises requirements elicitation with the Quality Assurance Unit through a review of SPMI documents and brief interviews, architectural and interface design (Laravel, MVC pattern, and MySQL), staged prototyping, and rapid iterations based on stakeholder feedback until functional conformity is achieved. The resulting system provides authentication and role-based authorization (Admin, GPM, Lecturer, Student), odd/even period management, a question bank employing a Likert scale, anonymous questionnaire submission, score recap per lecturer and per category (pedagogical, professional, personal, social), dashboard visualizations, and report export to support governance needs. Functional evaluation was conducted through black-box testing on core scenarios (login, period scheduling, submission, recap, and export) and indicated conformance to specifications. User acceptance evaluation employed the Technology Acceptance Model (TAM) to examine perceived usefulness, perceived ease of use, attitude toward use, and behavioral intention; the results indicate positive acceptance and potential for operational adoption. Practically, the prototype approach accelerates requirement alignment, reduces the risk of mis-specification, and facilitates change control, while the Laravel-based implementation supports maintainability, role-based access security, and further feature development. The study is limited to a single faculty; future work may include SSO integration, audit trails, and longitudinal, cross-semester analytics for more comprehensive monitoring of lecturer performance.

The rapid development of information technology has had a significant impact on various aspects of life, including the decision-making process that requires precision and objectivity. One of the problems often faced is product selection with various complex criteria, for example in selecting a quality drum. Drums as a percussion instrument have many variations in terms of sound quality, material, design, price, and durability, so a system is needed that can assist users in making a more rational choice. This study aims to develop a website-based Decision Support System (DSS) using the Weighted Product (WP) method to provide recommendations for drum selection. The WP method was chosen because it is able to perform calculations by considering the weight of each criterion so that the recommendation results are more objective. The system implementation is carried out through the design of a user-friendly web-based interface, making it easier for users to access, compare alternatives, and obtain recommendations without having to perform manual assessments that are time-consuming and potentially subjective. System testing was carried out by comparing the results of the system's recommendations with expert assessments, which obtained an accuracy level of 95%. These results indicate that the developed system has a high level of reliability and is suitable for use as an aid in decision-making in selecting quality drums. With this system, it is hoped that users, both beginners and professionals, will find it easier to choose drums that suit their needs and preferences.

Healthcare workforce management has become increasingly critical in determining organizational economic performance and long-term sustainability. This systematic review examines the relationship between human resource strategies in healthcare settings and their impact on economic outcomes, with particular attention to the effectiveness of workforce planning, recruitment optimization, employee retention, and performance management systems. The objective of this review is to synthesize current evidence on healthcare workforce management practices and their influence on economic performance indicators across various healthcare organizations. A systematic literature review was conducted using multiple academic databases, including PubMed, Scopus, and Web of Science. Studies published between 2019 and 2024 that focused on healthcare workforce management and its association with economic performance were selected based on predefined inclusion and exclusion criteria. A total of 45 peer-reviewed articles met the eligibility requirements and were included in the final analysis. The findings reveal that strategic human resource management practices significantly correlate with improved economic outcomes in healthcare organizations. Institutions implementing comprehensive workforce management approaches demonstrated a 15–25% improvement in cost-effectiveness, resource utilization, and operational efficiency. Moreover, effective healthcare workforce management was shown to directly enhance organizational performance by reducing staff turnover costs, improving employee productivity, and strengthening service delivery quality. This review concludes that integrated and evidence-based human resource strategies are essential for healthcare systems aiming to achieve sustainable economic growth and resilience in the face of evolving healthcare challenges.

The development of information technology has brought significant changes to the medical device procurement process, particularly within government institutions such as the Health Office. The procurement of appropriate, efficient, and objective medical devices is crucial to supporting optimal medical services, yet the decision-making process is often constrained by limited budgets and the complexity of multiple assessment criteria. This study aims to design and implement a decision support system (DSS) based on the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to provide recommendations for medical device procurement at the Binjai Health Office. The DSS evaluates six main criteria: price, quality, durability, ease of maintenance, medical necessity, and safety level, using procurement data from the 2022–2024 period. The TOPSIS method is applied to calculate the relative closeness of each alternative to the ideal solution, enabling decision-makers to rank medical device options objectively and systematically. The findings show that the DSS successfully prioritizes procurement alternatives, helping stakeholders allocate budgets more effectively and transparently. In addition, the system minimizes subjective bias by integrating quantitative analysis with clearly defined criteria. The system is implemented in a web-based environment with MySQL as the database, ensuring accessibility and scalability for future use. Overall, this research demonstrates that integrating TOPSIS into a decision support system can enhance the efficiency, accuracy, and accountability of medical device procurement in public health agencies. The study is expected to contribute to improving budget management and strengthening the quality of health services through better resource allocation.

Discipline is a crucial aspect of education that plays a significant role in shaping students’ character and sense of responsibility. However, the manual discipline assessment process at SDIP Baitul Maal presents several issues, such as inaccurate data, limited analysis capabilities, and difficulty for teachers and parents to monitor students effectively. With the advancement of information technology, digital systems offer a potential solution to improve the efficiency and objectivity of the evaluation process. This study aims to design and develop a web-based application for assessing student discipline by implementing the K-Means Clustering method optimized with the Elbow method. The system is designed to cluster students based on numerical data such as attendance, tardiness, neatness, and rule violations, allowing for more accurate classification of discipline levels. The results show that the system successfully groups students into clusters automatically and provides informative visualizations of the outcomes. Additionally, the system facilitates real-time monitoring and evaluation by school staff and parents through a user-friendly interface. Therefore, the application of the K-Means Elbow method proves effective in supporting decision-making within the educational environment. This research is expected to contribute to the digital transformation of school management and enhance the quality of student character development.

Research Method: The community and prospective parents have difficulty accessing information about TK Harapan Bunda because they often have to come directly to the school in the morning or meet the school outside of working hours. This hinders efficiency and is time-consuming for them, as well as burdening educators. Therefore, a modern solution is needed such as an official website or digital platform to facilitate access to information quickly and practically. Research Results: The purpose of implementing the system is to evaluate whether the developed system has met expectations. Through testing and implementation, the quality of the system can be assessed. Conclusion: Based on the research and implementation of the TK Harapan Bunda web-based Information System, it can be concluded that: a) The web-based information system provides easier and faster access for the community and prospective parents to obtain information about the school. b) The professionally designed website has succeeded in improving the image of TK Harapan Bunda with an attractive appearance and informative content, which promotes the school's excellent programs and achievements, thereby increasing the interest of prospective students and parental trust. c) The use of modern technology in the development of this system shows that TK Harapan Bunda is able to adapt to increasingly rapid digital developments.

Indonesia is the world's leading producer of spices, but it still faces challenges in manual visual quality assessment, which is inconsistent. This study aims to develop a spice quality classification system using a Deep Learning approach based on Convolutional Neural Networks (CNN). Data was collected through digital images of five types of spices (cloves, cardamom, cinnamon, pepper, and nutmeg) classified into two categories: good and bad. The dataset was then processed and used to Train the CNN model using Tensorflow. The model architecture consists of several convolution, pooling, and dense layers, and is integrated into a web-based prototype application using Streamlit. Evaluation results show that the model achieves high Accuracy of 98.86% (Training), 98.45% (Validation), and 98.45% (Testing). The prototype application can provide automatic Predictions of spice quality through a simple and responsive interface. The results of this study indicate that CNN is effective in identifying the visual quality of spices and can serve as an objective, efficient technological solution that supports the enhancement of Indonesia's spice export competitiveness.

Lake Maninjau specialty food souvenir shop is one of the micro businesses that sells a variety of traditional regional food products. So far, the marketing process and transaction management are still done manually, which causes limited market reach, difficulty in recording sales, and lack of effectiveness in product promotion. This research aims to design a web-based marketing information system to support the sales process, promotion, and data management in a more efficient and integrated manner. The system development method uses the System Development Life Cycle (SDLC) approach of the waterfall model, which includes the planning, needs analysis, system design, implementation, and testing stages. Data collection was conducted through field observations, interviews with business owners, questionnaires to customers, and literature studies related to information systems and digital marketing strategies. The designed information system includes various main features such as product data management, sales transaction recording, automatic sales report generation, social media integration, and product promotion pages. In the marketing aspect, this system allows businesses to display product catalogs online, provide real-time promotional information, and establish direct interaction with customers through contact and ordering features. In addition, the use of this system allows stores to reach a wider market, including potential customers from outside the Lake Maninjau area, through an integrated digital marketing strategy. The implementation results show that this web-based system can increase the effectiveness of product promotion, speed up the transaction process, and improve the quality of customer service. With this system, souvenir shops can compete more competitively in the digital era, as well as strengthen brand image and customer loyalty through more structured and sustainable marketing.

Digital transformation in the public sector has become a strategic agenda to improve the efficiency, transparency, and quality of government services, including in regional revenue management. This study aims to analyze the implementation of digital transformation in the Regional Revenue Agency (Bapenda: Badan Pendapatan Daerah) of East Java Province, especially in the Gresik Technical Implementation Unit (UPT: Unit Pelaksana Teknis), as well as its impact on administrative efficiency, transparency, and increasing Regional Original Revenue (PAD: Pendapatan Asli Daerah). This study uses a non-empirical qualitative approach with a literature study method, which involves the analysis of secondary data from scientific journals, policy documents, government performance reports, and community digitalization indicators such as the Indonesian Digital Society Index (IMDI: Indeks Masyarakat Digital Indonesia). The results show that digital transformation through e-payment systems and web-based administration has significantly accelerated the service process, improved taxpayer compliance, and reduced revenue leakage. The receipt of PAD through digital channels increased by 60% in one year, while service efficiency increased by reducing administrative process time from three days to one day. The implementation of this digital transformation is also influenced by the readiness of infrastructure, apparatus competence, and community digital literacy, as described in the theoretical framework of the Technology Acceptance Model (TAM), Dynamic Capabilities, and TOE Framework. Despite positive achievements, challenges such as digital skills gaps, resistance to change, and system security issues are still obstacles in optimizing digital transformation. This research makes a theoretical contribution to the development  of e-governance literature  and digital public policy practices at the local level. These findings also provide concrete recommendations for other regions to replicate good practices of digital transformation that have succeeded in improving regional financial performance. Thus, digital transformation is not only a technological instrument, but also a governance strategy that requires synergy between technology, organizations, and society

This study aims to analyze the sentiment of customer reviews of the Grand Jatra Hotel Pekanbaru on the Google Review platform using the Naïve Bayes algorithm. Social media and online review platforms are increasingly becoming the primary source of information for potential customers in making purchasing decisions, particularly in the hospitality sector. Therefore, sentiment analysis of customer reviews is crucial for understanding consumer perceptions and providing strategic input for hotels in improving service quality. The research data was collected using web scraping techniques to obtain publicly available customer reviews. The obtained data was then processed through text preprocessing stages including case folding, tokenizing, normalization, stopword removal, and stemming. The Term Frequency-Inverse Document Frequency (TF-IDF) method was then used to weight each word, so that more relevant words have a greater influence in the classification process. The sentiment classification process was carried out into two main categories, namely positive and negative. The Naïve Bayes model was trained using training data and then tested with test data to measure the algorithm's performance in classifying sentiment. The evaluation results show that the model built is able to achieve an accuracy level of 98%, with a precision value of 97% and a recall of 100% in the positive class, and 92% in the negative class. These findings confirm that the Naïve Bayes algorithm can be effectively used in analyzing customer sentiment towards hotel services and facilities. Practically, the results of this study are expected to provide insight for the management of Grand Jatra Hotel Pekanbaru in understanding customer perceptions, identifying service strengths and weaknesses, and formulating more targeted marketing strategies. In addition, this study can also be a reference for the development of similar studies in the hotel industry and other service sectors.

This research aims to design and build a web-based syar'i clothing inventory information system at Umama Gallery Yogyakarta. The background of this research is based on the problem of inventory management which has been done manually, which often causes obstacles such as delays in stock information, potential recording errors, wasted paper, and difficulties in preparing inventory reports quickly and accurately. To overcome these problems, a web-based information system was developed by referring to the Software Development Life Cycle (SDLC) Waterfall model, which includes the stages of planning, needs analysis, design, implementation, and testing. Research data was obtained through interviews with store managers and literature studies to support the analysis and design of the system. The implementation results show that the inventory information system built is able to simplify the process of recording and monitoring inventory in real-time, thereby helping to reduce the potential for recording errors and speeding up the reporting process. In addition, this system also reduces dependence on physical documents, making it more environmentally friendly and efficient in the use of resources. Available features include data management of goods, suppliers, users, incoming and outgoing goods transactions, and user account management. The integration of these features supports comprehensive inventory management, improves operational efficiency, and facilitates management in making accurate, data-driven decisions. With this system, Umama Gallery Yogyakarta has gained an effective, reliable, and integrated tool to support smooth operations and more modern and professional inventory management. Similar systems have the potential to be implemented in similar businesses to improve inventory management quality and competitiveness in the digital age.

The Printed Circuit Board (PCB) industry increasingly relies on automation and digitalization to improve efficiency and accuracy in production and distribution processes. One common practice is the use of labels containing product information in the form of barcodes or QR codes, which allow automatic data input and reduce the risk of human error compared to manual writing. However, in current practices, these labels are only attached to PCBs after they have been placed inside casings. This creates a significant limitation, as access to the label information requires disassembling the casing whenever product verification, tracking, or troubleshooting is needed. Such a process not only consumes additional time and resources but also increases the risk of damaging the product. To overcome this challenge, this study proposes the development of a traceability system designed to accurately monitor the location, identity, and status of PCBs throughout the distribution process. The system was implemented as a web-based application capable of generating and printing product information labels in the form of barcodes and QR codes. Each label functions as a unique identifier, ensuring that every PCB can be distinctly tracked from production to final product assembly. All data associated with the labels is automatically stored in a centralized database, providing real-time accessibility, simplifying information management, and enabling faster decision-making in the event of quality control issues. System evaluation was carried out through rigorous testing, which showed a 100% success rate in generating, storing, and retrieving product information without errors. The findings indicate that the proposed traceability system is both effective and efficient, and it offers a practical solution for industries seeking to enhance supply chain visibility, improve product accountability, and reduce operational inefficiencies in PCB distribution and lifecycle management.

The rapid advancement of information technology has brought significant transformation across multiple sectors, including library management systems. One of the pressing needs in higher education libraries is the development of an efficient, accurate, and secure borrowing system that reduces human error and improves service quality. This study aims to design and implement a book borrowing system for the STMIK Kaputama library by utilizing Radio Frequency Identification (RFID) technology integrated with the Internet of Things (IoT). The proposed system employs the ESP32 microcontroller as the core controller, supported by the RFID RC522 module and buzzer as primary devices to facilitate the automatic identification of library members and borrowed books. The borrowing and returning process is executed through RFID card scanning, with all transaction data transmitted via WiFi and stored in a MySQL database, which is managed through a PHP-based web platform. The development process follows the Agile methodology, enabling iterative improvement and adaptability to user requirements. System testing demonstrates that the integration of RFID and IoT technology significantly enhances the efficiency, accuracy, and speed of library operations compared to the previous manual system. Furthermore, the system allows real-time recording of borrowing transactions, monitoring of user activities, and centralized data management. These features not only streamline library services but also improve data security and reduce the risk of loss or duplication of records. Overall, the implementation of this RFID-IoT-based system provides an innovative solution for modernizing library management, particularly in higher education institutions. The system ensures faster services, minimizes errors, and creates a structured and reliable digital infrastructure to support academic information services. This study highlights the potential of combining RFID and IoT technologies to improve the quality and effectiveness of library systems in the digital era.

This community service activity was motivated by the need for an efficient and structured library management system at MI Hidayatul Ulum. Previously, book recording, borrowing, and reporting were done manually, creating administrative challenges and limiting access to information for students and teachers. To address these challenges, the community service team implemented a web-based library information system designed to simplify collection management, facilitate book searches, and expedite the borrowing and return process. The implementation method included partner needs analysis, system design and installation, training for staff and teachers, and evaluation of implementation results. The system was designed to be accessible through the school's local network with a simple and user-friendly interface. Training was provided to ensure the school was able to utilize and manage the system independently. The results showed that the implementation of this information system improved library management efficiency and expanded user access to information. Teachers could more easily monitor book collections, while students found it easier to search for and borrow books. Furthermore, the system accelerated administrative processes and reduced the risk of recording errors. Another positive impact was the growth of a technology-based literacy culture within the madrasah. With the availability of faster book search and borrowing services, students' interest in reading increased. A participatory approach involving schools from the planning stage through evaluation ensures that the resulting solutions meet needs and can be implemented sustainably. This community service activity is expected to serve as a model for implementing simple technology that has a real impact on improving the quality of basic education services.

The world of education has undergone major changes since the advent of technology and the internet. Most students prefer new learning methods brought by technology rather than listening and writing in class which are considered outdated. The presence of technology such as Artificial Intelligence (AI) should be able to overcome the weakness of conventional learning methods and make it more interesting for students. Conventional learning activities in class such as writing and taking notes can be replaced by AI which is designed to perform tasks like humans. Therefore, this study was conducted by developing a system for recording and summarizing lectures using AI technology. The system development process uses the waterfall method as a guide, while the system modeling is created using the UML method. The application of AI technology into conventional learning methods can create a more interactive class by setting aside student's tasks like writing and taking notes, creating more interaction with the lecturer, resulting in a higher quality of education.

In the era of increasingly advanced technological development, decision support systems (DSS) play an important role in improving the quality of decision-making in the education sector. The selection staff at SMP Dharma Bakti find it difficult to objectively determine the best academic students because they still use a manual method that is prone to errors. This research aims to design a web-based decision support system that can help selection staff assess and determine their best academic students objectively and quickly. This system is developed using the PHP programming language, MySQL database, LARAVEL 8 framework, and applies the Analytical Hierarchy Process (AHP) method within it. This research produces a system that allows the SMP Dharma Bakti Selection Officers to input alternative data, namely student data, determine the weight of criteria and sub-criteria, and view the ranking results automatically, thus greatly facilitating the SMP Dharma Bakti Selection Officers in determining their best academic students.

This collaborative community service activity aims to improve the learning outcomes of grade IV students at MIN 2 Palangka Raya City using web-based interactive digital books developed by PGMI IAIN Palangka Raya students. This activity is carried out collaboratively, where students design learning media with the guidance of lecturers who also act as expert validators. The activity stage begins with the identification of needs through observations and interviews at partner schools, especially on the theme "Look Around You" in Indonesian language subjects. Students then developed interactive teaching materials that integrated text, images, audio, and other multimedia elements using digital platforms. Media validation was conducted by four expert lecturers with very feasible results: material experts (94%), design experts (96%), classroom teachers (71%), and field trials (91%). The t-test showed a significant increase in learning outcomes (t = 6.60) with an N-Gain score of 1.00 in the high category. This program shows that collaboration between lecturers and students in developing learning media can have a real positive impact on the quality of basic education and can be a sustainable model of academic empowerment.    

Advances in information technology have had a major impact on the education sector, including at the Early Childhood Education (PAUD) level. To improve the quality of education services, PAUD institutions are required to implement a more sophisticated, accurate, and efficient management system through the use of an integrated information system. This study raises various obstacles faced by PAUD KB Tsamrotul Hikmah, especially in terms of recording teacher attendance, submitting leave, and managing finances that still use manual methods. This conventional system has been shown to reduce work effectiveness, increase the possibility of errors, and weaken the transparency and accountability aspects of the institution. To overcome these problems, an information system was developed to support automated administration processes and more systematic data management. The findings of this study indicate that digitalization of administration can improve work efficiency and data accuracy, as well as build public trust in the institution. Therefore, the implementation of an integrated information system is considered a strategic step in creating more professional, open, and sustainable PAUD management.

The reason of this study is to research the impact of product pleasant and price notion on client loyalty at PT Langgeng Utama Rekaindo Kediri using customer pleasure as a mediating variable. A quantitative technique is used on this take a look at and Structural Equation Modeling-Partial Least Squares (SEM-PLS 4.0) as an evaluation technique. a web questionnaire changed into used to accumulate facts with a 4-point Likert scale and 140 respondents were involved with the purposive sampling technique used. The effects showed that product high-quality shows a advantageous and significant direct impact on client loyalty. rate notion has a high quality effect on client loyalty, but this effect is not statistically significant. Product high-quality shows a high-quality and significant direct effect on client pride. fee perception shows a fantastic and massive direct impact on client satisfaction. client delight has a positive effect on client loyalty, but this effect is not statistically significant. Product high-quality shows a direct impact on client loyalty thru mediation of client pride does now not show tremendous results. The indirect effect of rate belief on client loyalty via mediation of purchaser pride also does not show sizeable consequences.

This study aims to evaluate user sentiment toward the Liputan6.com application available on the Google Play Store. In the digital era, user reviews serve as a significant indicator in assessing the quality of an application. However, the inconsistency between rating scores and review content renders manual analysis less objective. To address this issue, a machine learning approach was adopted by comparing two algorithms, namely Support Vector Machine (SVM) and Naïve Bayes (NB). A total of 2,500 reviews were collected through a web scraping process and automatically labeled based on the rating (positive if ≥ 3, negative if < 3). The data preprocessing stages included cleaning, case folding, tokenizing, stopword removal, and token filtering. Subsequently, word weighting was carried out using the TF-IDF method, followed by classification using 10-Fold Cross Validation in RapidMiner. The evaluation results indicate that, in the positive class, NB demonstrated superior precision (89.47%), whereas SVM achieved higher recall (98.94%) and F1-score (90.96%). In the negative class, SVM performed better in terms of precision (66.15%), while NB attained higher recall (65.65%) and F1-score (36.34%). Further evaluation based on AUC and accuracy positioned SVM in the good category (AUC 0.842; accuracy 83.82%), while NB was categorized as fail (AUC 0.505; accuracy 60.87%). Overall, SVM is considered to be more effective than NB.