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The implementation of the Electronic-Based Government System (SPBE) is essential for achieving efficient, transparent, and accountable village governance. Sido Rukun Village in Merangin Regency, Jambi Province, has begun using several government applications but lacks a structured enterprise architecture aligned with the national SPBE framework. This study aims to develop an enterprise architecture for SPBE in the business process domain at Sido Rukun Village. The research employs the TOGAF ADM (The Open Group Architecture Framework – Architecture Development Method) approach, involving stages such as identifying current business processes, designing a target architecture, and conducting a gap analysis between the as-is and to-be states. The findings include a business process architecture blueprint compliant with Presidential Regulation No. 95 of 2018 and Presidential Regulation No. 132 of 2022 on the National SPBE Architecture. This blueprint encompasses BPMN-based business process models and supporting artifacts that serve as a foundation for integrated information systems at the village level. The study’s implications are significant: it provides Sido Rukun Village with a practical and standardized technical blueprint for implementing a sustainable electronic-based government system, thereby supporting its transformation toward a Smart Village capable of adapting to evolving information and communication technology trends.

SMP Negeri 5 Merlung is a public junior high school in Merlung Subdistrict that has utilized the DAPODIK system for online data processing management, enabling efficient sending and receiving of information to the government. This research analyzes IT governance on the DAPODIK system using the COBIT 5 framework, specifically the MEA01 domain (Monitor, Evaluate and Assess Performance and Conformance), which focuses on monitoring and evaluating performance and conformance. The research background is based on the need to maximize the utilization of the system at the school level. The main objectives are to determine the current and expected capability levels, as well as to provide improvement recommendations to achieve higher process maturity. The research method applies Assessment Process Activities, covering observation, interviews, identification of findings, gap analysis, and recommendations. The results show that the current capability level is at level 3 (established process), while the expected capability level is directed toward level 4 (predictable process). The implications of these findings provide practical recommendations such as routine monitoring enhancements, staff training, and integration of automation tools to bridge the capability gap, thereby improving the effectiveness of IT governance at SMP Negeri 5 Merlung sustainably.

Flower disease detection is a significant challenge in modern agriculture, particularly with factors such as changes in leaf color, petal shape and structure, and environmental conditions affecting the accuracy of conventional models. These factors make it difficult to achieve optimal results using traditional methods. Transfer learning is an effective solution to improve image detection performance, especially when data is limited. This study used several pre-trained models, namely VGG16, ResNet50, and EfficientNet-B0, to detect three types of flower diseases: black spot on roses, white powdery mildew, and leaf rust. The research process included data processing, increasing the data volume using augmentation techniques, model training, and evaluation of the results. Experimental results showed that the EfficientNet-B0 model produced the highest accuracy of 97.2%, significantly better than the CNN model built from scratch with an accuracy of 85.1%. This study demonstrates that transfer learning is highly effective in improving the accuracy of flower disease detection, making it a more reliable alternative to methods that do not utilize pre-trained models, especially for agricultural applications that require high levels of accuracy in disease detection.

Information technology (IT) governance plays a strategic role in supporting the achievement of organizational goals, especially in higher education institutions. Adiwangsa University Jambi, as a private university, is required to manage IT effectively, efficiently, and in line with the institution's vision. This study aims to analyze the level of IT governance capabilities at Adiwangsa Jambi University using the COBIT 2019 framework with a focus on the EDM (Evaluate, Direct, Monitor) domain. The research method used is a descriptive quantitative method through data collection using questionnaires, interviews, and documentation studies. The results show that the level of IT governance capability in the EDM domain is at level 2 (Managed Process), indicating that the IT governance process is running but still needs improvement in several aspects, especially in monitoring and controlling IT performance. This study is expected to provide recommendations for Adiwangsa University Jambi in improving IT governance in a sustainable manner.

Public complaint services are an essential part of public service delivery in supporting the government’s rapid response to various social issues and emergency situations. In West Tanjung Jabung Regency, public complaint services are provided through the HALO USTAD 112 Call Center managed by the Department of Communication and Informatics. However, the existing service still faces several limitations, including the lack of optimal integration in complaint data management, inadequate documentation of reports based on regional classifications, and limited capabilities in storing and retrieving complaint data. This study aims to optimize the HALO USTAD 112 Call Center service through the design of a mobile-based public complaint information system, so that the processes of receiving, managing, and monitoring reports can be carried out more effectively and in a structured manner. The system development applies the Waterfall method, which consists of requirement analysis, system design, implementation, and testing stages. The designed information system includes key features such as user and admin login, complaint submission, report management and verification, report monitoring, statistical visualization of complaint data, and regional-based report recapitulation. The application is developed using the Flutter framework with the Dart programming language, while Supabase is utilized as the backend integrated with a PostgreSQL database. The results of this study are in the form of a system design and prototype that are expected to improve the quality of public complaint services and support more accurate, integrated, and efficient data management.

Magnetic resonance imaging (MRI) provides rich anatomical contrast for brain tumor assessment, yet routine interpretation remains time-intensive and demands high precision. This work develops a pipeline for four-class brain MRI image classification (glioma, meningioma, pituitary tumor, and no tumor) by combining automated brain-region cropping, data augmentation, and transfer learning with EfficientNetB1. Experimental results demonstrate exceptional performance, achieving an overall accuracy of 0.99 (99%) on the test set. Specifically, the model reached an F1-score of 1.00 for the no tumor class, 0.99 for pituitary, and 0.98 for both glioma and meningioma classes. Beyond reporting numerical performance, the study utilizes Grad-CAM heatmaps to verify that predictions rely on clinically plausible regions rather than spurious background cues. These results indicate that an efficiency-oriented backbone, paired with systematic preprocessing, can achieve reliable and interpretable performance for brain tumor classification tasks.

This study was conducted to analyze the implementation of financial management and accounting practices at a Coffee Shop in South Jakarta operating within the MSME sector, with a focus on the importance of structured financial management and the application of standardized accounting as a fundamental element in supporting business sustainability. The research employed a qualitative descriptive method through interviews, direct observations, and document review. The findings indicate that the Coffee Shop has applied a cash-based recording system and utilizes a simple point of sales (POS) application to monitor cash flow and sales transactions. However, the recording of fixed assets, depreciation calculations, and the recognition of liabilities have not fully complied with the guidelines of FAS MSMEs, resulting in financial information that remains limited, lacks transparency, and does not provide a comprehensive overview of the business’s financial condition. Therefore, this study highlights the need to improve human resource capabilities in accounting and to implement simple yet credible accounting software to support more accurate, efficient, and accountable financial reporting. With more professional financial management, business owners will be better equipped to make strategic decisions, strengthen stakeholder trust, and enhance the competitiveness and long-term sustainability of the Coffee Shop.

This research is purposely conducted to evaluate and compare the effectiveness, efficiency, applicability  and appropriateness of modern firefighting systems installed on board ships. As a result, the review attempt to  ascertain the significance of firefighting systems on ships in terms of their safety, types, structure, principles as  well as installations. In this way, the review tries to justify the importance of these systems on board ships. The design of this survey revolves around three basic elements that incorporate the complete firefighting  procedure. These components include: modern technology of firefighting, different types of systems that are  used on board ships and people traits in terms of drilling, firefighting training to deal with any incident of fire.  In the previous decade, the globe has experienced massive destructions, harms and injuries resulting from fire incidents on ships. This has triggered and ignited enhanced fabrication and staging of new practices,  technologies and inventions aimed at efficiently deal with fire incidents so as to support the safekeeping and  reliability on these fire systems on board ships. Equally, through this technological enhancement, the  firefighting systems have been designed to facilitate rapid detection capable of differentiating between real  smokes or flames indicators in case of a fire event on board ship. In recent times, these technological  developments have been viewed as strategies that help ship owners to ensure better protection of the crew’s life,  ship’s inventories as well as minimising on the possible losses that occur as a result of fire events on board ship.  Therefore, with the review of the recent or latest methods and technologies for speedy fire detection on ships,  the review demonstrates enhancement attributes, features and qualities of these new systems. Additionally, the  paper critically evaluates the components of these firefighting systems, as well as looking at their competences,  capabilities, benefits and applicability on board ships.

The evolution of modern civil procedural law demands dispute resolution mechanisms that are responsive, efficient, and substantively just. In this context, Alternative Dispute Resolution (ADR) particularly mediation and arbitration has transformed from a supplementary option into a central instrument within Indonesia’s dispute resolution architecture. This study aims to analyze the development of ADR from the perspective of modern civil procedural law, focusing on the normative status and practical efficiency of mediation and arbitration as pre-litigation mechanisms. The research employs a normative-juridical approach, analyzing primary legal sources (legislation, Supreme Court Regulations [PERMA], court decisions) and secondary sources (scholarly journals, books, policy documents). The findings indicate that mediation has been mandatorily integrated into civil procedure through PERMA No. 1 of 2016, functioning as a court-facilitated pre-litigation stage, while arbitration operates as a consensual out-of-court mechanism under Law No. 30 of 1999. Both mechanisms demonstrate clear efficiency in terms of time (resolution within weeks to months), cost (minimal to predictable), and the ability to preserve parties’ relationships through collaborative processes and procedural confidentiality. Nevertheless, implementation challenges remain, particularly concerning the availability of qualified mediators and public perception of ADR. The study concludes that ADR is no longer a marginal alternative but an integral pillar of modern civil justice, aligning with principles of procedural efficiency and substantive justice.

Sweet corn is a horticultural commodity that is widely consumed in Indonesia. This study evaluated the effectiveness of NPK 18-18-18 fertilizer on the vegetative growth, yield components, and relative agronomic effectiveness (RAE) of sweet corn (Zea mays saccharata). Field experiments were conducted using fertilizer dosages of 0,50, 0,75, 1,00, and 1,50 NPK, with a control treatment for comparison. The application of NPK 18-18-18 significantly increased plant height, stem diameter, leaf number, ear length, ear diameter, biomass weight, ear weight with husk, ear weight without husk, plot yield, and overall productivity compared with the control. Mean values across treatments ranged from 68,94–205,72 cm for plant height, 7,41–20,47 mm for stem diameter, 6,01–13,00 leaves per plant, 15,41–20,89 cm for ear length, and 36,05–49,65 mm for ear diameter. Biomass weight ranged from 0,12–0,34 kg, ear weight with husk from 0,13–0,34 kg, and ear weight without husk from 0,12–0,28 kg. Plot yield varied between 7,91–25,46 kg, corresponding to productivity levels of 5,02–16,16 t/ha. RAE analysis indicated that fertilizer application was effective at dosages of 0,75, 1,00, and 1,50 NPK, with the highest effectiveness observed at 1,50 NPK (118%). Notably, the 0,75 NPK dosage achieved an RAE value of 101%, demonstrating that lower fertilizer input can enhance yield while reducing production costs and mitigating fertilizer scarcity. These findings suggest that NPK 18-18-18 fertilizer, when applied at an optimal dosage, can be effectively utilized in sweet corn cultivation to improve growth and productivity while ensuring efficient nutrient management.

Each country has different holiday policies, but the number of holidays in Indonesia is quite large, which impacts uncertainty for investors when buying or selling shares. These events can cause market anomalies or irregular market conditions and produce abnormal returns at certain times, known as the holiday effect. This study uses a quantitative descriptive method with an event study approach, data collection is carried out using documentation and literature methods. The data used are secondary data in the form of the Jakarta Composite Index (JCI), the LQ45 Index, and the Jakarta Islamic Index (JII) from the official website of the Indonesia Stock Exchange (IDX). Exchange rate data is taken from the official website of Bank Indonesia. The population of this study is every company listed on the IDX, while the data used are JCI, LQ45, and JII data 6 days before and 6 days after the Eid al-Fitr holiday and regular trading days from 2011-2025. The results of the study show that there is no significant difference in the JCI, LQ45 Index, or JII before and after the Eid al-Fitr holiday, so there is no holiday effect. These results indicate that all three indices reflect a market that tends to be efficient and stable in responding to seasonal events. Furthermore, the Rupiah exchange rate had a negative but significant effect on the Jakarta Composite Index (JCI). The Rupiah exchange rate had a negative but insignificant effect on the JII before and after the Eid al-Fitr holiday. The Rupiah exchange rate had a positive but insignificant effect on the LQ45 Index before and after the Eid al-Fitr holiday.

This study discusses the introduction of digital signature patterns using the Backpropagation method on Artificial Neural Network (JST) to identify a person's characteristics and potential. The increasing use of digital identities demands a verification system that is more secure, accurate, and adaptive to the variations of each individual's signature. The main problem faced in the signature recognition system is the low level of accuracy when the visual features of the signature have similarities between users, both in terms of shape, size, and stroke pressure. In addition, variations of signatures made by the same individual are also a challenge in the identification process. As a solution, this study implements Principal Component Analysis (PCA) to extract important features from the signature image before the training process using JST. PCA is used to reduce the data dimension so that the learning process becomes more efficient and optimal. A total of 80 signature images were used in this study, consisting of 60 training data and 20 test data. The results showed that the system was able to achieve an accuracy level of 92.5%. These findings prove that the combination of PCA and JST methods is effective in recognizing digital signature patterns and has the potential to be applied to digital security-based biometric identification systems.

Manual quality assessment of Platelet Concentrate (TC) is highly subjective and inconsistent, necessitating an objective, automated classification system. This study aims to develop a computationally efficient, low-cost model for TC quality classification using Histogram Features extracted from grayscale images combined with the K-Nearest Neighbor (KNN) algorithm. The methodology employed critical preprocessing steps, including StandardScaler for normalization and SMOTE for balancing the training data, followed by optimization across K=1 to K=30. The optimal model achieved a maximum accuracy of 69.23% at K=6, with an F1-Score of 71.43%, confirming robust performance on the imbalanced testing set. The results validate the effectiveness of the Histogram-KNN approach as a consistent and reliable decision support system for rapid TC quality screening in resource-limited settings.

This community engagement program aims to strengthen community-centered health services in Romania by integrating digital innovations into existing social welfare systems. The initiative responds to persistent challenges in accessibility, service coordination, and information flow between local health providers and underserved populations. Through a structured intervention—including digital literacy workshops, development of simple data-collection tools, and collaborative planning sessions with community health workers—the program seeks to enhance local capacity for technology-supported service delivery. A mixed set of participatory and data-driven strategies was employed to ensure that technological solutions align with community needs and institutional capacities. Results indicate significant improvements in digital readiness among participants, increased accuracy of health-service reporting, and stronger collaboration between social welfare actors and community members. Feedback collected from participants highlights a high level of satisfaction with the practicality and relevance of the training sessions. Overall, the program demonstrates that integrating accessible technological innovations into community-based health systems can contribute to more responsive, efficient, and inclusive social welfare structures in Romania. The findings further underscore the importance of continued investment in digital competencies and collaborative governance to support sustainable health-service improvements in socioeconomically diverse contexts.

Keeping up with the times, the ideal warehouse is one that can serve as a good storage facility with clear administrative processes using a digital system and a warehouse database application. This database application will be used by warehouse crews at the Subditmatbek Ditlog AAL to facilitate inventory control. Its main purpose is to simplify inventory management and facilitate quick retrieval of goods when needed. This application is powered by Microsoft Access, which creates the features required by the Subditmatbek Ditlog AAL warehouse. By utilizing this application, users can access goods data, including arrival times, quality and quantity, and shipping origins, along with photos as concrete evidence. Furthermore, this database application does not require an internet connection, so it can be accessed from the warehouse at any time. Therefore, this application was created to facilitate warehouse crews in the inventory process more effectively and efficiently.

The development of science and technology has encouraged the utilization of graph theory in solving optimization problems, particularly in transportation systems and tourism route planning. Medan City, as a metropolitan area with dense road networks and widely dispersed tourist destinations, faces challenges in selecting efficient travel routes. This research aims to determine the optimal route between tourist destinations in Medan City using the Minimum Spanning Tree (MST) method with Prim’s Algorithm. The research was conducted using a weighted graph modeling approach, where each tourist destination is represented as a vertex and the distance between destinations is represented as an edge weight. Distance data and estimated travel time were obtained through digital mapping using Google Maps and then analyzed through iterations of Prim’s Algorithm to produce a minimum spanning tree without forming cycles. The results show that all 23 tourist destinations are successfully connected in a single MST structure with a minimum total distance of 68.97 km and a travel time of approximately 199 minutes or 3 hours and 19 minutes. This model is expected to serve as a reference for tourism planning and support urban transportation efficiency based on mathematical computation.

This study aims to gain an in-depth understanding of the influence of user experience and e-service quality on user satisfaction with the MyTelkomsel mobile application. This research was conducted using a descriptive qualitative method along with data collection techniques in the form of semi-structured interviews and direct observation of active users of the MyTelkomsel application in the city of Medan. Data was obtained from 10 informants selected using purposive sampling techniques, supported by documentation of user interactions with the application. The results of the study indicate that ease of navigation, informative interface display, application response speed, and service feature reliability are the main factors that shape user satisfaction. Users tend to feel satisfied when the application is able to provide a comfortable, efficient, and responsive user experience that meets their needs. The findings of this study are expected to provide strategic input for Telkomsel in improving user experience and service quality as an effort to strengthen customer satisfaction and loyalty.

Daily drinking water requirement for healthy individuals is a crucial factor in maintaining health and physiological balance. For individuals involved in intense physical activity or exercise, fluid requirements can increase significantly, with recommendations reaching 3 to 4 liters per day to replace fluid loss through sweat, so researchers consider it important to discuss the provision of clean drinking water installations with the application of Reverse Osmosis (RO) machines that utilize PDAM water as a source, which is in the Candrasa complex to support the fulfillment of drinking water needs for the Indonesian Navy Academy Cadets. AAL is a military educational institution that requires a supply of safe and high-quality drinking water for the Cadets so that the learning and training process can run smoothly. This study covers the daily drinking water needs of AAL Cadets, the current condition of the drinking water supply, and the concept of the RO machine itself in the Candrasa complex by utilizing PDAM water to produce healthy and suitable drinking water for AAL Cadets. The results of this study are expected to increase the availability of clean and safe drinking water for AAL cadets, facilitate drinking water distribution in the Candrasa complex, support their quality of life during their education, training, and foster care, and help maintain their health and safety. This study also underscores the importance of efficient and sustainable water management in the military environment.

Business legality is a very important component in the development of micro, small, and medium enterprises (MSMEs). Business legality provides MSME players with legal protection, easier access to financing, and greater opportunities for growth. The Business Identification Number (NIB) is the official identity of business actors used to obtain business licenses and commercial or operational permits through an integrated electronic licensing system, namely Online Single Submission (OSS). The objective of this community service program is to increase the understanding and awareness of MSME actors in Kelayu Selatan Village, Selong District, East Lombok Regency, regarding business legality, particularly the creation of an NIB. To support more efficient assistance tailored to the needs of each business operator, this activity was conducted door-to-door and included several stages, such as observation and data collection on MSMEs, dissemination of information on the importance of business legality, assistance in creating OSS accounts, and assistance in the application process until the issuance of the NIB. The results of the activity showed an increase in awareness and knowledge about the importance of business legality. It is hoped that this program will encourage MSMEs to transform into formal businesses that are competitive and sustainable.

This study aims to explore the institutional governance and collaboration mechanisms at Indonesia's entry points, emphasising both formal arrangements, such as Memoranda of Understanding, and informal communication channels that facilitate daily operations among Immigration, Customs, Port Authorities, Law Enforcement, and Health Agencies. The research employed qualitative methods, including interviews, observations, and document analysis, grounded in Policy Network theory, to analyse the dynamics of institutional collaboration at entry points. The findings highlight that border oversight effectiveness hinges on inter-agency synergy quality, trust, and the ability to overcome technical and procedural barriers, whilst significant challenges include technological disparity, particularly incompatible data platforms hampering real-time information sharing, and silo mentalities driven by security concerns that impede operational harmonisation, resulting in delays and inefficiencies. Trust mechanisms such as informal communication groups, regular meetings, and leadership support significantly improve coordination and operational performance. The study concludes that sustainable and adaptive governance models characterised by mutual trust, effective communication, and technological integration are essential for enhancing border security and facilitating legal movement. The research underscores the importance of integrating technological systems to ensure interoperability, developing clear cross-agency SOPs, and fostering a collaborative culture that prioritises shared goals over organisational ego. Strengthening institutional collaboration at border crossings will bolster Indonesia's national security, economic growth, and international reputation, and contribute to resilient, efficient border management systems capable of addressing contemporary threats.