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This study discusses the implementation of the CEISA 4.0 System (Customs Excise Information System and Automation) in managing Manifest Inward and Outward data at PT. Surya Samudera Indah under the supervision of the Batam Customs Office. The research is motivated by the need for efficiency and accuracy in customs processes in the era of digitalization. The purpose of this study is to analyze the effectiveness of CEISA 4.0 in supporting customs supervision and services, as well as to identify the challenges encountered during its implementation. The research employs a qualitative descriptive method with a case study approach through observation, interviews, and documentation. The findings show that the implementation of CEISA 4.0 has had a positive impact on the speed and accuracy of manifest data reporting, particularly in document validation and tracking processes. However, several technical barriers such as network disruptions and system errors, as well as non-technical obstacles including limited human resource competence and lack of coordination between the company and customs authorities, were identified. The implications of this research highlight the need for system optimization through technological infrastructure improvement and human resource capacity enhancement to ensure CEISA 4.0 functions more effectively in supporting the smooth flow of national and international logistics.  

Stock monitoring is a critical phase that must be performed regularly to maintain the accuracy and efficiency of inventory management. Continuous monitoring ensures that all items remain under proper oversight, thereby making stock management processes simpler, more controlled, and highly accurate. PT XYZ operates in the general contracting sector and provides a range of services, including land transportation, crude oil rental, heavy equipment and light vehicle rental, material supply, and well maintenance services. At present, stock monitoring at PT XYZ still relies on a general-purpose application designed solely for numerical calculations. This approach leads to several limitations in the current system, most notably the lack of a login feature and the requirement to recreate reports using a separate application. Based on these problems, this research aims to design a prototype of a stock monitoring information system at PT XYZ. The system is developed using the waterfall development model and documented using use case diagrams. The main output of this study is a prototype information system that allows users to change their own password, perform CRUD operations on data entities including users, items, categories, brands, units, vehicles, suppliers, incoming goods, and outgoing goods, generate various reports related to inventory/stock at PT XYZ.

The use of information technology is a crucial element in improving the effectiveness of village government administration. One implementation of e-government at the village level is the use of the Village Apparatus Information System (Sipede) as a medium for managing village apparatus data. This study aims to analyze the effectiveness of Sipede's implementation in supporting village apparatus data management in Candi District. The study used a descriptive qualitative approach with data collection techniques through in-depth interviews, observations, and system document reviews. Data analysis was conducted using the Agile Response in E-Governance framework, which includes nine effectiveness indicators: Ease of Use, Usefulness, System Quality, Technology Mindfulness, Software Reliability, Communication Transparency, Trust, Collaboration Efficiency, and Traceability. The results show that Sipede is quite effective in improving data accuracy, information integration, and coordination between government agencies. This effectiveness is evident in the ease of use of the system, the clarity of the workflow, and the level of apparatus trust in the data generated. However, the use of Sipede still faces obstacles in the form of limited system access and suboptimal usage practices. Therefore, efforts are needed to develop systems and increase user capacity to support more accountable and sustainable village apparatus administrative governance.

The rapid advancement of Information and Communication Technology (ICT) has accelerated the digital transformation of public services, including land administration. However, public complaint services at the Land Office of Southwest Sumba Regency still encounter challenges such as unstructured complaint procedures, manual data processing, risk of data loss, and limited public access to clear information. These issues highlight the need for an innovative and accessible complaint information system. This study aims to design and implement a chatbot-based public complaint service information system to enhance accessibility, transparency, and service effectiveness. A qualitative research method with a system development approach was applied. Data were obtained through interviews, observations, and documentation. The system was developed using a rule-based approach with a Finite State Machine (FSM) algorithm and implemented through the Typebot.io platform. The findings indicate that the chatbot provides structured, consistent, and user-friendly information, reduces manual workload, and improves public readiness before submitting complaints directly, while supporting future integration and system enhancement.

This study aims to analyze the innovation of the use of e-SDM Applications in improving the quality of digital employee data management at the Surabaya City Human Resources Development Agency (BKPSDM). This study uses a qualitative approach with a case study method through data collection techniques such as in-depth interviews, direct observation, and supporting documentation. The research analysis refers to the success factor model of e-Government innovation according to Maulidhia J.P., which includes aspects of leadership, stakeholders, resources, technology and information, processes, goals and values, and laws and regulations. The results of the study indicate that the implementation of e-SDM Applications can improve work efficiency, data accuracy, transparency, and ease of access to employee information through an integrated digital system. This success is supported by leadership commitment, collaboration between stakeholders, and the availability of adequate resources. However, this study also found several challenges, including technical system and network constraints, the need to increase human resource capacity, and the need for continuous regulatory and SOP updates. Overall, e-SDM innovations have made a positive contribution to improving the quality of employee data management in government environments.

Digital transformation in judicial institutions is aimed at improving transparency, efficiency, and legal certainty for the public. One of the main instruments in the digitization of the judiciary in Indonesia is the Case Tracking Information System (Sistem Informasi Penelusuran Perkara/SIPP), which functions as a means of case administration as well as a medium for public information disclosure. Although SIPP is considered to be running well from an administrative perspective, its effectiveness from the point of view of service users, particularly in providing information on court schedules, still shows limitations in its practical use. This study aims to analyze the effectiveness of SIPP in providing information and certainty regarding court schedules for service users at the Surabaya Class IA Special District Court. This study uses a qualitative approach with a descriptive research type. Data was obtained through in-depth interviews with service users and court officials, observation, and review of documents and system data. The analysis was conducted using the Socio-digital effectiveness framework, which focuses on three dimensions, namely user experience, citizen engagement, and public value, to examine the relationship between digital systems, user experience, and the social meaning of public judicial services. The analysis shows that the SIPP has been quite effective in providing access to court schedule information at the administrative level. This effectiveness is reflected in the openness of information access, which can be used by the public without special authentication. However, at the level of practical use, there are still limitations in terms of timeliness and consistency of information updates when there are delays or changes to the court schedule. This affects the user experience in planning attendance and shapes perceptions of the reliability of the digital information provided by the court.

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.

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 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 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 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.

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.

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.

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.

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.

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 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.

The process of extending the International Maritime Dangerous Goods (IMDG) certificate for the Pegasus 3 Barge through SIMKAPEL at the Banten Class I KSOP Office at PT. Pasmaritim Samudera Nusantara, Cilegon Branch. The IMDG Code is intended to protect ship crews and also warn them that their vessels are carrying dangerous goods. An expired International Maritime Dangerous Goods (IMDG) certificate is a crucial step in maintaining a ship's seaworthiness, particularly for vessels transporting dangerous goods. Processing the renewal of an International Maritime Dangerous Goods (IMDG) certificate for a ship is done through the Shipping and Maritime Information System (SIMKAPEL) The Director General of Sea Transportation's system facilitates digital ship certificate renewal services. SIMKAPEL simplifies renewals and saves time and effort by requiring in-person visits to the Banten KSOP office. Service users can access application status anytime and anywhere. The method used in this research was field research namely in the form of direct observation and taking pictures based on the activities of processing ship certificate extensions through SIMKAPEL as well as library research, namely through books in the POLTEK AMI Medan library as well as online books, websites and journals related to the research object.

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.

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.