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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.

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.

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.

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.

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.

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.

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.

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.

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.

Digital Down Conversion (DDC) is a fundamental process in software defined radio (SDR) and digital communications, which transforms intermediate frequency (IF) signals into baseband signals. In conventional DDC designs, multipliers and look-up tables are generally employed, both of which tend to increase hardware size and power consumption. In this paper we present a Dual-Mode CORDIC-Based DDC architecture which uses the CORDIC (Coordinate Rotation Digital Computer) algorithm to eliminate multipliers. This novel architecture combines a CORDIC-based Numerically Controlled Oscillator (NCO), a CORDIC mixer, and a Cascaded Integrator-Comb (CIC) filter with a finite impulse response (FIR) com pentation filter. The NCO provides two precision modes - an 8-stage low-latency mode for speed and a 16-stage high precision mode for accuracy, giving runtime reconfigurability according to design requirements. Simulations and analysis show that the design gives highly accurate frequency translation, is efficient in hardware utilization and fully eliminates the use of digital signal processing (DSP) blocks. Overall, the architecture proposed offers a low-power, low-cost, and recon figural solution ideal for modern SDR-based applications and flexible digital signal processing systems.

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.

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.

Dynamic programming (DP) is a foundational technique for solving multistage optimization problems; however, its classical formulation often incurs a cubic time complexity, rendering it impractical for large-scale real-world applications. This study proposes an accelerated dynamic programming framework that leverages quadrilateral inequality and convex monotonicity theory to significantly reduce computational overhead. By formally establishing the structural conditions under which DP decision boundaries exhibit monotone behavior, the proposed method eliminates redundant state transitions and maintains a sequence of admissible decisions through an efficient stack-based mechanism. The resulting algorithm achieves a worst-case complexity of O(n2) and can be further optimized to O(n) when convex monotonicity holds, representing a substantial improvement over traditional O (n3) techniques. Experimental validation using the classical stone-merging problem demonstrates that the accelerated method executes more than 60 times faster than the standard approach for large inputs, while maintaining identical optimal results. These findings confirm that embedding geometric regularities into DP formulations not only enhances performance but also broadens the applicability of dynamic programming to computation-intensive optimization tasks. This research contributes a mathematically grounded, scalability-oriented solution for accelerating dynamic programming, with implications for logistics, production planning, data segmentation, and other large-scale decision systems.

This study conceptually examines a self-supervised multi-scale fusion framework designed to enhance accuracy and computational efficiency in medical image segmentation, a domain where data scarcity and annotation cost remain major challenges. Traditional supervised approaches are constrained by their reliance on extensive labeled datasets, limiting applicability in real-world clinical environments. Self-supervised learning (SSL) mitigates this issue by extracting supervisory signals directly from unlabeled data, enabling the model to learn rich feature representations without human annotation. Simultaneously, multi-scale fusion architectures integrate global contextual information with fine-grained local features, supporting robust segmentation across varying anatomical structures and image resolutions. Through a qualitative methodology involving library research and content analysis, this study synthesizes state-of-the-art SSL-driven segmentation techniques and highlights how adaptive multi-scale fusion mechanisms address limitations of existing convolutional and transformer-based architectures. The analysis indicates that combining SSL and multi-scale strategies leads to more generalizable, scalable, and computationally efficient segmentation pipelines suitable for diverse medical imaging modalities. The proposed framework represents a promising direction for developing next-generation diagnostic tools capable of handling sparse labels, complex textures, and real-time deployment constraints.

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.

This study aims to examine the implementation of bureaucratic reform at the Immigration Document Section of Ngurah Rai Immigration Office, focusing on digital transformation through the M-Paspor application to realise a dynamic immigration management system. The research employed qualitative analysis to evaluate service efficiency, transparency, accountability, and staff capacity in the context of digital innovation aligned with Dynamic Governance principles. The findings reveal that digitalisation has significantly enhanced service efficiency through automated procedures, reduced physical queues, and improved transparency, whilst facilitating a shift from manual tasks to core verification and problem-solving activities, though challenges persist regarding human resources capacity and organisational culture, as staff exhibit rule-bound mindsets and defensive communication styles when addressing service delays, thereby undermining public trust and satisfaction. The study concludes that technology alone is insufficient to achieve truly responsive and citizen-centric services, as institutional culture and personnel mindset require continuous strengthening through soft skills training, ethical enforcement, and cultivation of service-oriented, empathetic work culture. Holistic reform approaches that combine technological innovation with human resource development and cultural change are essential for building effective, adaptive, and transparent immigration management systems. The integration of digital systems complemented by professional human resources can foster seamless, efficient, and trustworthy immigration services aligned with good governance principles, whilst sustainable improvements depend on balancing technological advances with organisational culture development and staff professionalism.

The primary purpose of this activity is to enhance the capabilities of micro, small, and medium enterprises (UMKM) in managing wet cake production in a more hygienic and efficient way in order to generate products with higher market value. The skill development emphasizes technical improvements in the production process by prioritizing cleanliness, food safety, and consistent quality, as well as increasing efficiency in the utilization of raw materials and labor. This activity was implemented for UMKM operating under Dynala Food in Gentengan Hamlet, Padang Village, Singojuruh District, Banyuwangi. In addition to production aspects, the program also aims to strengthen marketing strategies at both local and digital levels, enabling tofu and wet cake products to be more easily accessed by consumers. The implementation was conducted through door-to-door visits and direct field observations. The program stages included socialization, hands-on training, technology application, mentoring, evaluation, and achievement of program objectives. Focus Group Discussions (FGDs) were conducted to identify challenges, formulate concrete action plans, and support the adoption of technology and digitalization in business development.

Human resource development is the process of preparing individuals to take on higher or different responsibilities within an organization, including enhancing intellectual abilities to support efficient task performance. This study aims to determine the extent to which human resource development contributes to improved employee performance at the East Lombok Regency Health Office. The qualitative, descriptive approach involved eight informants, consisting of officials familiar with the implementation of human resource development and staff who had participated in the program. The results indicate that education and training conducted by the East Lombok Regency Health Office have supported improved employee performance, as evidenced by more structured task implementation, public health monitoring surveys, and a decrease in maternal and infant mortality rates. However, in terms of human resource management, there are still shortcomings, with an average of 28 health workers per health facility, both civil servants and non-civil servants, reflecting an imbalance in workforce needs. Furthermore, the implementation of human resource development is supported by leadership commitment, inter-agency collaboration, and budget support from the provincial and central governments. However, it is hampered by limited qualified personnel, frequent policy changes, and the impact of natural disasters.

The rolling process is a material forming method that is greatly influenced by the roll rotation speed parameter. Inappropriate rotation variations can cause various defects such as waves, tears, thickness irregularities, and ovalization. This review aims to compare the effect of variations in the roll machine rotation speed on the quality of rolling results on various types of materials, including Al6061-O aluminum plate, rubber sheets, and hollow and pipe-shaped materials. The method used is a literature study by collecting and comparing data on roll speed, defects that appear, deformation results, and process efficiency from several relevant journals. The results of the analysis show that high rotation speeds increase productivity but also increase the risk of defects because the material does not have time to adapt to deformation. Conversely, low rotation speeds produce more stable shapes and minimize defects, but are less efficient for mass production. Each material has a different optimal rotation range, including 23–36 rpm for Al6061-O plate, 45–72 rpm for rubber sheet formation, 24.4 rpm for hollow and pipe rolling, and around 21 rpm for corrugated plate. Overall, this study confirms that rotational speed control is a critical factor in achieving a balance between deformation quality and machining efficiency.