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This study investigates the optimization of claims under the Indonesian Case-Based Groups (INA-CBGs) payment mechanism within the National Health Insurance Program (Jaminan Kesehatan Nasional) at Hospital X in Serang. The research aims to analyze the influence of managerial competence, digital adoption, and organizational behavior on claim effectiveness, with policy implementation serving as a moderating variable. Employing a quantitative explanatory approach, data were collected from 144 respondents comprising management staff, casemix teams, and medical record officers through questionnaires and structured interviews. Structural Equation Modeling–Partial Least Square (SEM-PLS) was applied to examine the relationships among variables. Findings reveal that managerial competence, digital adoption, and organizational behavior significantly and positively affect the optimization of INA-CBGs claims. Furthermore, the implementation of the National Health Insurance Program policy strengthens these relationships, enhancing claim efficiency and equity. The results align with the Resource-Based View theory, highlighting the strategic role of internal resources in achieving organizational performance. Managerial implications include capacity building for managers, integration of hospital information systems (SIMRS) with e-Claim platforms, and fostering collaborative organizational culture. Overall, the study underscores the importance of managerial, technological, and behavioral factors, moderated by policy implementation, in improving hospital claim optimization under the INA-CBGs system.

The lompong flower is an ornamental plant that requires stable soil moisture conditions and a stable environment so that it can grow optimally. Moisture level mismatches often hinder growth and even have the potential to cause plant damage. This research aims to design and implement an Internet of Things (IoT)-based humidity monitoring system that is able to monitor the humidity condition of the pond flower in real-time. The system developed uses soil moisture sensors as input devices, microcontrollers as data processors, and internet networks as a medium for sending data to the monitoring platform. The data obtained is displayed directly so that users can know the actual humidity conditions and take appropriate maintenance actions. The results show that the system is able to display moisture data with a good level of accuracy, as well as provide relevant information for users in plant care decision-making. The implementation of this system has proven to be effective in supporting the maintenance of lompong flowers, especially in maintaining soil moisture stability. This research is expected to be a reference for the development of IoT-based ornamental plant monitoring technology, as well as contribute to improving the quality of plant care in a more efficient and measurable manner.

Manual management of sports field bookings is still widely practiced and often leads to scheduling conflicts, data recording errors, and low service efficiency. This study aimed to design and develop a desktop-based sports field booking application that automates the booking process and manages schedules in a structured manner. The research employed a system design and development method using an object-oriented programming (OOP) approach. Data were collected through direct observation of the booking process, interviews with field managers, and documentation of system requirements. The application was developed using the Python programming language with the PyQt5 framework for the graphical user interface and MySQL as the database management system. The results showed that the developed application is capable of managing field data, schedules, bookings, and user information in an integrated manner while reducing recording errors and minimizing scheduling conflicts. The application of OOP resulted in a modular, well-organized, and maintainable system structure. This application is expected to improve the efficiency and accuracy of sports field booking management and provide a practical solution for implementing a computerized booking system.

Rapid global environmental changes, especially due to advances in technology and information, have had a significant impact on various sectors of life, including the health sector. In the context of modern health services, hospitals are no longer just places of healing, but also institutions that are required to provide high-quality services, based on patient safety, and are able to adapt to the dynamics of community needs. This change requires a transformation in human resource management, especially related to the interpersonal and psychosocial competencies of nurses as the spearhead of medical services.Purposes:​ to analyze the effect of effective communication and Assertive Attitude on Nurses' Work Productivity in hospitals, with Work Fatigue as a mediating variable.Methods: This type of research is quantitative, using statistical figures to measure the influence of independent variables on dependent variables. The research design is a cross-sectional study.Results: The results of this study indicate that effective communication, assertiveness, and job fatigue collectively significantly influence nurses' work productivity. Communication and assertiveness positively contribute to job fatigue, which in turn affects productivity. Job fatigue is also shown to be a significant mediator in the relationship between communication and assertiveness on work productivity .Conclusion : The importance of strengthening effective communication as a strategy to increase productivity. Organizations need to design communication systems that support openness, transparency, and clarity of information and culture-based assertiveness training, so that employees can express their opinions appropriately without causing resistance in the team.

This final report aimed to analyze the service quality gap in ship agency services in determining customer satisfaction levels at PT Maumere Bahari Express. The study was conducted as part of the Merdeka Belajar Kampus Merdeka (MBKM) internship program using a qualitative descriptive approach. Data were collected through interviews with management, employees, and service users (ship crew), direct observation of service processes, and company document review. The analysis was carried out based on the service quality gap model, which includes gaps between customer expectations and management perceptions, management perceptions and service quality specifications, service specifications and service delivery, service delivery and external communication, as well as the gap between expected service and service received by customers.. The results showed that several service gaps still existed in the services, particularly related to administrative speed, clarity of information, service operational standards, as well internal coordination and communication. These gaps affected the level of customer satisfaction, which had not yet been optimal. Therefore, PT Maumere Bahari Express needed to make improvements through strengthening management commitment to service quality, refining standard operating procedures, and enhancini internal and external communication systems in order to improve customer satisfaction sustainably..

This study aims to design a drug inbound and outbound transaction application that can improve the effectiveness and efficiency of drug data management at the UPTD Pharmacy Installation of Tanjungbalai City. The research method used in this study is a descriptive qualitative method with a case study approach. Data collection was carried out through direct observation at the research location, interviews with pharmacy staff, and documentation studies of documents related to drug management. The data obtained were then analyzed to identify weaknesses in the current system and determine the system requirements to be designed. The results of the study indicate that the existing manual recording system has not been able to support optimal drug management because it is less effective and prone to errors. The drug inbound and outbound transaction application designed in this study can assist pharmacy staff in recording incoming and outgoing drug data, monitoring drug stock in real-time, and generating reports automatically.

Guidance and counseling constitute a crucial element in the educational structure of elementary schools, functioning to support students’ holistic development, including academic, social, emotional, and personal aspects. As students at this level are in the early stages of development, they require systematic guidance to actively adapt to the school educational context while optimizing the development of their potential to an optimal level. This study aims to examine the variety of guidance and counseling services in elementary schools and their role in addressing students’ problems through a literature review of relevant scientific sources, including national and international journals as well as reference books published after 2020. The results indicate that the implementation of guidance and counseling at the elementary school level encompasses various forms of services, such as orientation to the school environment, information services, placement and referral guidance, group guidance activities, individual and group counseling services, consultation, and mediation efforts. These services contribute to helping students overcome learning difficulties, behavioral problems, social adjustment issues, and personality development. However, their implementation still faces several challenges, including a shortage of professional personnel and teachers’ limited understanding of guidance and counseling. Therefore, it is essential to strengthen guidance and counseling programs in elementary schools in a well-planned and sustainable manner.

Digital transformation in the management of state property is a necessary step towards achieving transparent and accountable governance. The Minstry of Finance, through the Directorate General of State Assets, has developed the State Asset Management Information System Version 2 application as a means of digital based management, but its implementation still faces challenges related to interest in its use by work unit operators. This study aims to evaluate the impact of intentions, attitudes, and subjective norms on interest in using the SIMAN V2 application at the Surabaya State Assets and Auction Service Office using the Theory of Reasoned Action (TRA) approach. Using a quantitative design through a survey, this study was conducted at the Surabaya KPKNL with subjects being SIMAN V2 application operators in work units in the working area. Data colection techniques used a questionnaire with a Likert scale. Data analysis was performed using Structural Equation Modeling (SEM) based on Partial Least Square (PLS) using SmartPLS software. The results of the study indicate that intention, attitude, and subjective norms have a positive and significant effect on interest in using the SIMAN V2 application. This study shows that psychological and social factors play an important role in supporting technology adoption in the public sector. The conclusion emphasizes that increased interest in use can be achieved by strengthening individual intentions, forming positive attitudes, and providing workplace support. Increased socialization, ongoing technical training, and recommendations for further research institutional supportfrom agencies to optimize the use of the SIMAN V2 application.

Land and Building Tax for Rural and Urban Areas (PBB-P2) is one of the sources of Regional Original Revenue that has a strategic role in supporting regional development financing. However, the optimization of PBB-P2 revenue still faced various problems, especially related to the inaccuracy of tax object and subject data. This study aimed to analyze the optimization of PBB-P2 revenue through the implementation of verification and validation in increasing PAD at the regional Revenue Agency (BAPENDA) of Sikka Regency. The research method used was a qualitative approach with data collection techniques through interviews, observations, and documentation.                 The results showed that the implementation of verification and validation of PBB-P2 data was able to improve the accuracy of the tax database, refine the determination of the Tax Object Sales Value, and reduce data discrepancies between the system and field conditions. These efforts had a positive impact on increasing the realization of PBB-P2 revenue and its contribution to PAD of Sikka Regency. Nevertheless, the implementation of verification and validation still faced several obstacles, such as limited human resources, suboptimal utilization of information technology, and low awareness among some taxpayers. Therefore, strengthening the data collection system, increasing the capacity of apparatus, and enhancing inter-agency synergy were required to optimize PBB-P2 revenue sustainably.

This study investigates the influence of Apparatus Competency and Information Systems on Community Political Participation in the Local Government Head Election during the COVID-19 pandemic era in Karawang Regency. The COVID-19 pandemic has posed significant challenges to democratic processes, particularly in maintaining voter participation while ensuring public health safety. Employing a mixed-methods approach combining quantitative and qualitative data with Structural Equation Modeling (SEM) analysis, this research analyzed data from 263 respondents across various election administrative units. The results indicate that: (1) Apparatus Competency does not have a significant positive effect on Community Political Participation (T-value = 1.01 < 1.96); (2) Information Systems have a significant positive effect on Community Political Participation (T-value = 2.78 > 1.96; path coefficient = 0.67). The combined contribution of both variables explains 76% of the variance in political participation. From these findings, the study proposes the Skills Democracy Model, emphasizing that digital information skills and organizational experience are critical determinants of democratic participation quality during pandemic conditions. These findings have significant implications for election governance reform and e-democracy development in Indonesia.

The attendance process at SMK Swasta Dwitunggal 2 Tanjung Morawa is still carried out manually, potentially causing inefficiency, delays, and inaccuracies in attendance data. This condition results in the difficulty of managing attendance data and less than optimal support for managerial decision-making in the school environment. This study aims to design an Enterprise Architecture (EA) for a school attendance system using the TOGAF Architecture Development Method (ADM) framework. The research method used is a qualitative approach with a case study design. The analysis is carried out through mapping existing conditions (AS-IS) and designing expected conditions (TO-BE) in several TOGAF ADM phases, including business architecture, information system architecture, technology architecture, as well as the Opportunities and Solutions and Migration Planning phases. The results of the study are an enterprise architecture blueprint and a migration roadmap that can serve as guidelines for the gradual implementation of a technology based attendance system. This design is expected to improve the efficiency of attendance management, data accuracy, and support the decision-making process in schools.

The Human Resource Department (HRD) plays a very important role in supporting the growth and sustainability of an organization or company. Employees represent the most valuable asset owned by the company, which means that HRD can be considered the most critical component that must be managed properly. The primary function of HRD encompasses the management of all aspects related to the workforce, including ensuring that every employee fully receives their rights. To enhance work effectiveness and efficiency, HRD requires support in the form of a computer-based technology system. Therefore, it is necessary to develop an application capable of accelerating and simplifying employee data management. This study aims to improve HRD performance through the creation of a Human Resource Information System (HRIS). The application development process adopts the Waterfall method. The final outcome of this research is an application that successfully facilitates the HRD department in carrying out its various tasks more effectively.

This research presents the development of a transaction data protection mechanism for a bouquet sales application by utilizing the Advanced Encryption Standard (AES) algorithm. The rapid growth of digital commerce has led to an increase in online transactions, which in turn raises serious concerns regarding the security of sensitive transaction data. Information such as customer identities, order details, delivery addresses, and payment data are vulnerable to unauthorized access, data leakage, and manipulation if not properly secured. To address these issues, this study applies the AES-128 encryption algorithm using a 128-bit secret key to secure transaction data before it is stored in the system database. The encryption process follows the standard AES workflow, including key expansion, initial transformation, multiple encryption rounds, and a final transformation stage. Decryption is restricted exclusively to authorized users who possess the correct encryption key. The research methodology includes system analysis, AES integration into the application, and functional testing of the encryption and decryption processes. Data integrity is validated by comparing the original plaintext with the decrypted output, while system performance is evaluated based on processing time and decryption accuracy. Experimental results indicate that the average encryption and decryption time remains under 10 milliseconds per transaction, without affecting system performance. The findings confirm that AES-128 effectively enhances transaction data confidentiality and integrity in the bouquet sales application

This research aimed to analyze the role of the secretariat in maximizing office administrative service funtions within the secretariat division of the departement of trade, industry, and cooperatives and SMEs of sikka regency. This research used a qualitative approach with data colletion techniques including interviews, observations, and document studies. The key informant in this research was the head of the secretariat division. Data analysis was conducted interactively through the stages of data colletion, data reduction, data presentation, and conclusion drawing. The result showed that the secretriat has carried out office administrative functions systematically and in a structured manner, covering routine, technical, analytical, interpersonal, and managerial functions. The management of correspondence and archives has been implemented following the established procedures, although it remained largely manual and faced challenges such as delays in letter numbering and limited supporting facilities. The utilization of information technology through the srikandi application has proven to improve work efficiency, however, it still requires enhanced human resource competencies and stronger technological infrastructure support. In terms of analysis and reporting, the secretariat played an important role in preparing administrativereports and providing accurate data to support managerial decision-making. Furthermore, the secretariat also held a strategic role in fostering coordination, communication, and harmonious working relationships within the organization.

The development of bioinformatics has led to the availability of large amounts of genetic data through public databases such as NCBI Gene, OMIM, and Ensembl. However, the complexity of data presentation and the dominance of English language hinder students, novice researchers, and the general public in understanding the relationship between genes and disease. This research aims to develop a simple web-based information system to identify disease-causing genes with concise, Indonesian-language, and user-friendly information presentation. The method used is Research and Development (R&D), which includes literature study, needs analysis, system design, implementation, testing, and evaluation. The system was developed using a MySQL relational database with a web interface that displays basic gene information, chromosome location, biological function, and gene-disease relationships, complete with simple visualizations. Black Box testing results indicate that all main functions run according to user requirements. This system is expected to improve bioinformatics literacy and become an effective learning medium.

The success of this program is highly influenced by the quality of regional planning coordinated by the Regional Development Planning, Research, and Innovation Agency. This research aimed to identify and analyze the role of the Regional Development Planning, Research, and Innovation Agency in planning the handling of uninhabitable houses, understand the stages of the planning process, and determine the factors that influence its effectiveness. This research used a descriptive qualitative approach through observation, interviews, documentation, and literature study during the internship period in the Infrastructure and Regional Development Division. The results showed that the Regional Development Planning, Research, and Innovation Agency has carried out its functions as a facilitator, verifier, and evaluator by integrating the uninhabitable houses program into the Regional Medium-Term Development Plan, the Regional Government Work Plan, and the Strategic Plans of regional agencies. However, several obstacles were still encountered, including limited budget allocation, delays and inaccuracies in data, inadequate human resource capacity, and suboptimal coordination among stakeholders. Therefore, it was necessary to improve institutional capacity, strengthen information systems, and enhance cross-sectoral synergy so that the planning for handling uninhabitable houses can be implemented more effectively, accurately targeted, and sustainably.

This study is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.

The development of information technology has significantly improved the efficiency of application-based delivery services, including Shopee Partner Driver couriers. However, several issues such as delays in information updates, system errors, and inaccurate delivery data still affect courier performance. This study aims to analyze the effect of Information Quality and System Quality on the Performance of Shopee Partner Driver Couriers in Medan City. This research used a quantitative method with a questionnaire survey distributed to 100 active couriers. The instrument applied a fivepoint Likert scale, and data were analyzed using validity and reliability tests, descriptive statistics, and multiple linear regression analysis with SPSS software. The results indicate that both Information Quality and System Quality have a positive and significant effect on Courier Performance. The coefficient of determination (R²) of 0.625 shows that these two variables explain 62.5% of courier performance variance, while the remaining 37.5% is influenced by other factors. These findings support the DeLone and McLean (2003) model of information system success, emphasizing the importance of system and information quality in enhancing user performance.

The giveaway phenomenon in the digital era has become a popular strategy to increase interaction on social media. However, this popularity is also used by irresponsible individuals to commit fraud under the guise of giveaways. This article aims to identify the modus operandi of giveaway fraud, provide guidance on recognizing the characteristics of fraud, and present preventive measures to avoid it. The methods used include literature review of digital fraud cases, analysis of cybercrime patterns, and interviews with digital literacy experts. The results show that the fraud mode often uses fake accounts that resemble official organizers, asks for personal information or payment of certain fees, and offers rewards that are too fantastic to lure victims. Low digital literacy is one of the main factors in the high number of victims of this fraud. By raising public awareness through education about the characteristics of fraud and methods of verifying information sources, the potential for victims can be minimized. In conclusion, systematic prevention efforts and active participation of the community in disseminating related information are important to protect internet users from the threat of giveaway fraud. This article recommends improving digital literacy programs and strengthening regulations against cybercrime as a long-term step.

Digital fraud, particularly schemes involving the distribution of fake wedding invitations through instant messaging applications such as WhatsApp, has developed into a serious problem in Indonesia along with the increasing use of digital technology in everyday life. This fraudulent modus operandi exploits victims’ curiosity, trust, and panic to prompt them to open malicious links or download harmful files containing malware. Such malware has the potential to damage device systems, steal personal data, and access sensitive information, including banking accounts and social media profiles. This form of fraud not only causes significant financial losses for victims but also results in psychological impacts, such as fear, trauma, and a loss of trust in digital communication. This article aims to comprehensively examine the modus operandi of digital fraud through fake wedding invitations, analyze the relevant legal framework, and assess the social and economic impacts on society. In addition, the article emphasizes the importance of improving digital literacy as an effective preventive measure to minimize the risk of digital fraud. To address this issue, the article proposes strengthening cooperation among law enforcement agencies, cybersecurity institutions, and technology service providers. Recommendations are also directed toward reinforcing regulations, enhancing the effectiveness of law enforcement, and intensifying public awareness campaigns to reduce the incidence of digital fraud in Indonesia.