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The reliability of power distribution systems is a crucial factor in ensuring stable electricity supply for industrial, commercial, and household users. Conventional protection systems often face limitations in terms of real-time monitoring, remote control, and adaptive responses to fault conditions, which can result in longer outage durations and higher operational costs. This research aims to develop a smart protection system for power distribution using Internet of Things (IoT) technology to enhance system reliability. The proposed method integrates IoT-enabled sensors, microcontrollers, and communication modules to monitor critical parameters such as voltage, current, and frequency in real time. Data are transmitted to a cloud-based platform for analysis and decision-making, enabling rapid detection of abnormalities and remote tripping of circuit breakers. The prototype was tested under various fault scenarios, including short circuits and overloads, and demonstrated faster response times compared to conventional systems. Results show that the IoT-based protection system improved fault detection accuracy, reduced downtime, and provided predictive maintenance insights through data analytics. The synthesis of these findings highlights that integrating IoT into protection mechanisms not only increases operational reliability but also supports the transition toward smart grids. In conclusion, the developed system proves effective in addressing the limitations of traditional protection systems by offering real-time monitoring, automation, and enhanced decision-making for modern power distribution networks.

Increasing competition in the food industry requires companies to not only focus on product innovation and market expansion but also on strengthening internal human resource capabilities through long-term strategies. PT. Surya Pratista Hutama addresses this challenge by implementing a Talent Management Sistem (TMS) designed to identify, develop, and retain high-potential employees (HiPos), while simultaneously ensuring sustainable leadership development and succession planning. This study employed a qualitative case study approach by utilizing observations, in-depth interviews, and a paper review to obtain comprehensive insights into the company’s practices. The findings reveal that the identification of HiPos is carried out through a rigorous and consistent process using the 9-box grid as a key assessment tool. The emphasis on consistency in evaluation highlights the organization’s effort to ensure fairness and accuracy. Employee development is facilitated through multiple strategies, including formal training, mentoring programs, job rotation, and other structured learning initiatives. Retention strategies focus on providing competitive compensation packages, developing financial literacy skills, and fostering a collaborative organizational culture that values employee contributions. The implementation of TMS at PT. Surya Pratista Hutama has shown positive impacts, particularly in reducing employee turnover rates and improving leadership performance. However, the study also identifies several challenges, especially related to the need for clearer procedural guidelines and more specific development strategies to optimize outcomes. Overall, this research demonstrates that a well-structured TMS can serve as an effective mechanism for building sustainable human resource capabilities in highly competitive industries such as food manufacturing.

This study explores the psychological analysis of the main character in John Wick (2014), emphasizing the emotional and motivational factors that drive his actions. By applying Bernhardt's psychological aspects and Kenney's conflict theory, the research investigates the protagonist's internal struggles alongside his external challenges. Key issues examined include grief, trauma, and the pursuit of justice, highlighting how these elements shape character development and influence the narrative's progression. Utilizing a qualitative descriptive method and thorough film analysis, the study reveals that John Wick's journey transcends mere revenge; it represents a complex psychological quest for closure, identity, and moral reconciliation. The findings emphasize the significance of emotions, ethical dilemmas, and personal values in character-driven narratives, illustrating how internal conflicts affect external actions. This research adds to broader discussions on the psychological depth of cinematic characters and underscores the universal themes of loss and resilience. Future studies could investigate similar analyses across different genres to deepen our understanding of character psychology and audience engagement.

The increasing integration and digitization of smart grid systems have exposed them to a variety of security threats, necessitating robust security measures to ensure their reliability and efficiency. This paper proposes a novel Digital Twin-Based Cyber-Physical Security Framework, incorporating AI-driven predictive maintenance and zero-trust architecture to address the evolving challenges of securing smart grids. By leveraging digital twin technology, this framework creates a real-time virtual representation of physical systems, enabling continuous monitoring and simulation for enhanced security and operational performance. Zero-trust security principles are integrated to ensure that no entity, whether inside or outside the network, is trusted by default, thus significantly reducing the risk of cyber-attacks. Additionally, AI-driven predictive maintenance enhances the framework’s reliability by proactively identifying potential failures before they occur, reducing downtime and improving system resilience. Through the development and simulation of this framework, including attack and failure scenarios, the paper demonstrates that the proposed system outperforms traditional methods in terms of anomaly detection, system downtime, and response times. The integration of predictive maintenance allows for early identification of component failures, thus enhancing the overall resilience of the grid. The zero-trust architecture further strengthens the cybersecurity posture, preventing unauthorized access and attacks. The study also identifies challenges, such as data synchronization and scalability, which must be addressed for broader implementation in large-scale smart grid systems. The findings suggest that the proposed framework could play a critical role in the future evolution of smart grid security, offering valuable insights for researchers and practitioners.  

The Ciomas Golok is one of Banten’s intangible cultural heritage items, carrying profound historical, philosophical, and social meaning. More than a traditional weapon, it represents identity, honor, and the spirit of resistance against colonial rule. This study explores the origins and genealogy of the Ciomas Golok, analyzes the philosophy of “grip strength” encompassing physical, mental, and spiritual dimensions, and explains its role as a symbol of honor within Banten society. The research also examines its transformation in the modern era and compares it with other traditional weapons in the Nusantara and abroad. A qualitative method with a cultural ethnographic framework was applied. The research took place in Ciomas District, Serang Regency, as well as in museums, traditional markets, and cultural festivals. Data collection involved participant observation, in-depth interviews with blacksmith masters, community leaders, cultural figures, and youth, supported by literature documentation. Data analysis employed semiotics and symbolic anthropology, with validity maintained through triangulation of sources, methods, and theories. Findings show that the Ciomas Golok dates back to the Banten Sultanate era, evolving from an agricultural tool and weapon of resistance into a cultural artifact and creative economic commodity. The philosophy of “grip strength” highlights holistic values the golok as a symbol of honor, responsibility, and solidarity. Its continuing presence underscores the urgency of preservation. The study concludes that safeguarding the Ciomas Golok requires collaboration among blacksmiths, local communities, government, and academics to ensure its ongoing relevance as both a cultural emblem and an expression of Indonesian national identity.

When problems such as antepartum hemorrhage, fetal distress, atypical fetal presentation, and gestational hypertension occur, a cesarean section can save the lives of both mother and baby. A cesarean section (CS) is a surgical technique in which the uterus and abdominal wall are opened to deliver the fetus. In many countries, cesarean sections are the most common surgical procedure, and over the past 30 years, their use has gradually increased. Intrauterine fetal death is the death of a fetus weighing 500 grams or more in the womb at 20 weeks of gestation or later. The partial or complete separation of a normally implanted placenta after 22 weeks before birth is known as placental abruption. he purpose of this paper is to provide nursing care to Mrs. P with a Caesarean section indicating intra uterine fetal death (IUFD) due to placental abruption in the Nusa Indah room of dr. Soeselo Regional General Hospital, Tegal Regency, according to nursing standards. The method used is descriptive with a case study approach. The data collection techniques in this scientific paper are in the form of interviews, observations, documentation studies and literature studies. From the case review, the main complaint was pain in the operated area, pain increased when moving, pain like being squeezed with a pain scale of 5, pain that comes and goes. The patient appeared to be grimacing in pain and restless, the patient always held the area that had been operated on, the results of the vital signs examination obtained: BP: 139/100 mmHg, pulse: 103 x / minute, S: 36.5oC, RR: 20 x / minute, there was a bandage on the lower abdomen along 15 cm with a horizontal line, the patient did not know and was confused about the birth control used after the CS. The nursing problems identified were acute pain, risk of infection, and knowledge deficit. Interventions were developed based on the theory in the SDKI, SLKI, and SIKI, as well as the client's condition, and were implementable

This research aims to develop and evaluate the performance of a steam plant prototype designed as an alternative source of electrical energy to support the Vessel to Grid (V2G) concept. Utilization of backup energy on ships is becoming important as electricity demand increases and demands for a more sustainable electrical system. This system relies on ESP32 microcontroller technology as a control center that functions to monitor and control several key parameters, including steam pressure, combustion temperature, boiler water level, and the generated electrical voltage. The research method used is an experiment with a static and dynamic testing approach. Static testing is carried out to measure the performance of main components such as the boiler, turbine, and generator separately, while dynamic testing focuses on evaluating the overall system by involving the integration of sensors and supporting actuators. The test data is then analyzed quantitatively to determine the system's response to variations in steam pressure, temperature, and other operational conditions. The results show that the steam produced by the boiler is able to rotate the turbine, thereby driving the generator to produce electricity. The maximum voltage achieved is 25.7 volts at a steam pressure of 50 psi. The highest energy conversion efficiency was recorded at 4%, while the lowest efficiency was 0.9%. These findings demonstrate that, despite its relatively low efficiency, the prototype can function as an alternative energy source and emergency backup solution. Thus, this research provides an initial contribution to supporting the implementation of the V2G concept through the development of a small-scale steam plant-based energy conversion system.

The rapid development of information technology in the digital era has transformed the way organizations conduct their business activities. Information systems are now viewed not merely as operational support tools but as strategic elements capable of providing added value, increasing efficiency, and strengthening a company's competitiveness. In the context of PT XYZ, a company engaged in inspection and certification services, the use of information technology has become a crucial part of daily work processes. However, the implementation of information systems at the branch level still faces several obstacles. Data and process integration is not yet fully optimized, while alignment between the systems used and business needs has also not been achieved. This condition has the potential to hinder the company from providing fast, accurate, and innovative services. Therefore, appropriate and sustainable strategic planning of information systems is necessary. This study uses the Ward and Peppard framework enriched with Value Chain analysis to identify value-added activities, SWOT to identify strengths, weaknesses, opportunities, and threats, and PEST to map external factors affecting the business. In addition, the McFarlan Strategic Grid is used to prioritize the application portfolio that aligns with the company's long-term goals. The results of this research are expected to be able to produce an information system strategy design that not only supports operational efficiency, but also encourages service innovation and increases the competitiveness of PT XYZ in the inspection and certification services industry.

This study aims to analyse the disclosure and compliance level of Sustainability Reporting based on the GRI Standards 2021 at PT. Bank Central Asia, Tbk and PT Bank Mandiri (Persero), Tbk for the 2023 period. The research employs a qualitative descriptive methodology Data collection methods unlized in this study include documentation analysis, literature review, and internet research. The data analysis techniques consist of content analysis and comparative methods. The findings indicate that both banks have disclosed sustainability information in accordance with the GRI Standards, albeit with varying degrees of completeness and detail PT Bank Mandiri (Persero), Tbk demonstrates a more comprehensive level of disclosure that is better aligned with GRI standards compared to PT. Bank Central Asia, Tbk, particularly in specific disclosures. Regarding compliance levels, PT. Bank Central Asia, Tbk achieved 100% compliance with general disclosures in its Sustainability Report, classified as "Fully Applied." while the overall compliance with specific disclosures reached 38%, categorized as "Limited Disclosure" Conversely, PT. Bank Mandiri (Persero), Tbk attained 100% compliance with general disclosures, also classified as "Fully Applied, and achieved 50% compliance with specific disclosures, categorized as "Partially Applied

This study aims to analyze the effect of Corporate Social Responsibility (CSR) implementation on profitability, with the Sustainability Report acting as a moderating variable, at PT Sinergi Gula Nusantara, Ngadirejo Sugar Factory, during the 2019–2023 period. Profitability was measured using Return on Assets (ROA) and Net Profit Margin (NPM), CSR was assessed through the PROPER rating, and the Sustainability Report was evaluated using a disclosure index based on the Global Reporting Initiative (GRI) standards. The research utilized a quantitative descriptive method and Moderated Regression Analysis (MRA) to test the relationships between the variables. The findings revealed that CSR had a positive and significant effect on both ROA and NPM. However, the study found that the Sustainability Report did not moderate the relationship between CSR and ROA, indicating that the sustainability disclosures had no significant impact on improving ROA. In contrast, the Sustainability Report was able to moderate the relationship between CSR and NPM, strengthening the influence of CSR on profitability as measured by NPM. This suggests that sustainability reporting plays a critical role in enhancing the positive effects of CSR on financial performance, particularly in terms of profitability indicators such as NPM. The study provides valuable insights for companies aiming to integrate CSR practices and sustainability reporting to achieve improved financial performance and long-term sustainability.

This study proposes the integration of a Hybrid Recommendation method (combining Content-Based and Collaborative Filtering) with Random Forest Regression (RFR) to improve the accuracy of stay duration prediction in web-based boarding house booking systems. The main issue in online boarding booking systems is the inaccuracy of predicting user stay duration, affecting room allocation efficiency and customer satisfaction. The dataset was sourced from the hotel sector due to its attribute similarities and data validity. The research process includes data preprocessing (missing value imputation, normalization, and one-hot encoding), temporal and contextual feature engineering, hybrid recommendation system construction with CBF and CF score weighting, and RFR model training optimized through Grid Search and 10-fold cross-validation. Evaluation was conducted using MAE, RMSE, R² metrics, as well as recommendation metrics such as Precision@5, Recall@5, and Mean Reciprocal Rank (MRR). Results show that this integrated model achieved an R² of 0.7239 and an MAE of 1.0537 days, as well as a Precision@5 of 0.9636. This integration proves effective in improving prediction accuracy and recommendation relevance and contributes to the development of AI-based intelligent systems in the accommodation domain.

This study analyzes Kompas.com’s news coverage of the Papua conflict and human rights issues during the 2024 Presidential Debate to examine media neutrality through Norman Fairclough’s Critical Discourse Analysis (CDA) integrated with Teun A. Van Dijk’s model. The analysis covers three dimensions: micro (text), meso (discursive practice), and macro (social practice), using a qualitative descriptive method. Data from 21 news excerpts reveal that social and political contexts are clearly represented, focusing on the strategies of the three presidential candidates in addressing human rights and conflict issues in Papua. The findings highlight the importance of realizing the Papua-related commitments made during the debate by the elected president, given the rising trend of violence and the unresolved justice issues in the region. The study demonstrates that media coverage, even by a leading news outlet such as Kompas.com, carries the potential to influence public perception regarding sensitive political and social issues. At the micro level, the language and lexical choices in the news articles often convey subtle ideological positions, including the framing of human rights violations and conflict events, which may reflect both explicit and implicit biases. At the meso level, discursive practices, including editorial decisions, headline constructions, and sourcing patterns, contribute to the shaping of narratives, highlighting certain aspects of the candidates’ statements while minimizing others. Meanwhile, at the macro level, the broader societal and political context, including historical grievances, regional tensions, and national political dynamics, provides the backdrop against which news coverage is produced and consumed, indicating the complex interplay between 

Carpal Tunnel Syndrome (CTS) is one of the most common musculoskeletal disorders experienced by office workers. This condition generally arises from repetitive wrist activities, such as prolonged typing or intensive mouse use, which cause pressure on the median nerve. Symptoms of CTS include pain, tingling, weakness, and decreased hand function, which can interfere with work productivity. Various conservative interventions have been developed, one of which is nerve gliding exercises, which mobilize the median nerve to reduce pressure, improve blood flow, and facilitate nerve movement within the carpal canal. This study aims to narratively review the effectiveness of nerve gliding exercises in improving the functional abilities of CTS patients, particularly in office workers. The method used was a systematic literature review of 16 international articles published between 2016 and 2024, using randomized controlled trial (RCT) and quasi-experimental designs. Articles were selected based on inclusion criteria, which included the primary intervention of nerve gliding exercise in CTS patients, measurement of hand function using the Boston Carpal Tunnel Questionnaire (BCTQ), and parameters of grip strength and range of motion. The analysis showed that nerve gliding exercise consistently resulted in significant improvements in grip strength, wrist range of motion, and reduced disability scores on the BCTQ. Several studies also reported reduced pain complaints and improved quality of life in patients after 4–8 weeks of regular intervention. Furthermore, the combination of nerve gliding exercise with other modalities, such as ultrasound therapy, low-level laser therapy (LLLT), or the use of wrist splints, has been shown to produce more optimal effects than either intervention alone. These findings support the belief that nerve gliding exercise is an effective, simple, inexpensive, and easily applicable therapeutic strategy for CTS patients, particularly high-risk office workers.

This study focuses on the development of an intelligent enemy behavior system in the 2D maze game Dungeon Escape by combining the A* algorithm for pathfinding and a Behavior Tree (BT) structure for decision-making. The main objective is to enhance Non-Playable Character (NPC) intelligence, enabling more adaptive and realistic interactions with players. The A* algorithm is implemented to allow NPCs to pursue players through the shortest and most efficient paths while avoiding obstacles on a grid-based map. Meanwhile, the Behavior Tree framework is designed to manage NPC actions based on dynamic conditions, such as attacking when in close proximity, chasing players within a certain detection radius, and retreating to the original guard position when the player leaves the active zone. The research methodology involves a comprehensive literature review, system design, and implementation using the Unity game engine. Testing procedures consist of both white-box and black-box approaches to evaluate the correctness, functionality, and efficiency of the system. The results indicate that all major game features—including player navigation, combat mechanics, key collection, enemy pathfinding, and user interface interactions—operate smoothly as expected. Furthermore, NPCs exhibit adaptive behavior by dynamically switching between patrolling, chasing, and attacking modes depending on the player’s location and proximity. Performance testing shows that the integrated A* and BT system runs efficiently without significant delays or instability, even in higher-level stages with more complex layouts. The final game prototype includes seven progressively challenging levels, offering players an engaging and dynamic gameplay experience. This study demonstrates that the combination of pathfinding and decision-making algorithms provides an effective solution for designing intelligent NPCs, improving both realism and entertainment value in 2D games. The findings are expected to serve as a useful reference for future research and development in AI-based game design, particularly in the context of Unity game projects.

This study aims to examine the differences and similarities between continental and local Indonesian cuisine, focusing on the case studies of Beef Stroganoff and Rendang. The study covers aspects such as ingredients, cooking techniques, presentation, and the cultural values embedded in these dishes. The research employs a qualitative descriptive case study approach, collecting data through observation, interviews, and literature review. The results indicate that continental cuisine emphasizes the use of high-quality ingredients, often favoring simplicity and freshness, and applies quick cooking techniques such as sautéing or grilling. Presentation is also a key element, with attention to aesthetic appeal and portion control. Beef Stroganoff, for example, is known for its creamy texture and elegant plating. In contrast, local Indonesian cuisine, as exemplified by Rendang, is characterized by its complex spice blends and slow cooking methods, often taking hours to achieve the desired taste and texture. Rendang holds deep social and cultural meanings, commonly served at ceremonial events or traditional gatherings, symbolizing patience, generosity, and respect for tradition. Despite these differences, both types of cuisine share similar functions in society: they both aim to fulfill nutritional needs, express cultural values, and strengthen social bonds. Food, in both contexts, becomes more than just sustenance—it is a form of identity and communication. This study recommends integrating local culinary studies into the culinary education curricula, especially at vocational and higher education levels. By doing so, students not only learn technical skills but also develop an appreciation for the cultural heritage embodied in Indonesian cuisine. This is essential in the era of globalization, where local identities risk being overshadowed by global culinary trends. Preserving and promoting traditional dishes like Rendang is vital for safeguarding Indonesia’s gastronomic identity and fostering pride in national culture.

Product quality, price, and service are important aspects that greatly influence consumer purchasing decisions, especially in the highly competitive snack retail sector. This study aims to analyze in depth the influence of product quality, price, and service quality on consumer purchasing decisions at the Griyo Snack Shop Sri Sumingan. This study uses a quantitative approach with a survey method. The data collection technique was carried out by distributing questionnaires with a Likert scale to 175 respondents selected using the accidental sampling method, namely sampling based on anyone who accidentally met the researcher and qualified as a consumer. The data obtained were then analyzed using multiple linear regression analysis with the help of SPSS version 23 software. The results of the t-test showed that the variables of product quality, price, and service quality each had a significant influence on consumer purchasing decisions, evidenced by a significance value of 0.000 (less than 0.05). Meanwhile, the F test showed that simultaneously the three variables also had a significant influence on purchasing decisions, with an F-value of 308.162 and a p-value of 0.000. The coefficient of determination (R²) of 0.844 indicates that 84.4% of the variability in consumer purchasing decisions can be explained by product quality, price, and service quality, while the remaining 15.6% is influenced by other factors outside the research variables. This finding implies that business actors in the snack retail sector must pay attention to and improve their product quality, set competitive prices, and provide optimal service to maintain and increase consumer loyalty.  

This study explores the semantic fields of love and loss in Lord Huron’s song "The Night We Met," using a lexical semantics framework. Song lyrics, known for their emotional depth, serve as a rich source for analyzing affective meaning, particularly through word selection and repetition. The primary research question addresses how semantic fields are constructed within minimalist lyrical compositions to convey complex emotional states. In this analysis, a qualitative descriptive method is applied to examine the song's lexical items and group them into thematic semantic fields. The study finds that the song uses a concise set of lexemes connected to themes of memory, temporal disorientation, grief, and love. These thematic fields intertwine, interacting to depict a narrative that encapsulates unresolved emotional pain. Love and loss are not presented in isolation but are embedded in a broader emotional context, where words evoke both the sweetness of past affection and the sorrow of its absence. The overlap of these semantic fields reflects the internal conflict experienced by the narrator, torn between cherished memories and the painful realization of loss. The study concludes that despite the song’s brevity, the lyrics effectively evoke profound emotional responses through a meticulous choice of words and thematic consistency. The semantic fields constructed within the song illustrate how even minimal language can convey intense emotional content, providing valuable linguistic insight into the function of lyricism in popular music. The research demonstrates the ability of short, poignant lyrics to engage listeners emotionally, revealing how lyricists use limited language to encapsulate complex feelings of love and loss.

Urban logistics is a significant source of carbon emissions in Indonesia, and effective decarbonization strategies are required. EVs offer a promising solution, but their impact requires quantitative evaluation within the local context. This study analyzes the effect of adopting an electric van fleet on total well-to-wheel carbon emissions within an urban distribution network in Indonesia. This study employs a comparative case study method. A baseline scenario consisting of 25 diesel vans is compared to an intervention scenario where electric vans replace the entire fleet. The emission analysis was conducted using the WtW framework, utilizing specific emission factors for diesel fuel from the IPCC (2006) and the Java-Madura-Bali (JAMALI) grid emission factor from IESR (2023) to ensure contextual relevance. The transition to an electric fleet successfully reduces the total well-to-wheel carbon footprint by 13.63%. This reduction is equivalent to an absolute CO2 emission decrease of nearly 3 tons of CO₂ per month. Nevertheless, indirect emissions from electricity generation still contribute a significant carbon footprint, indicating that the national energy mix is highly dependent on the environmental benefits of EVs. This study concludes that fleet electrification is a viable and effective decarbonization strategy for Indonesia’s logistics sector, even with the current state of the electricity grid. However, fleet decarbonization efforts must run in parallel with policies for a national transition toward renewable energy to maximize the emission reduction potential of electric mobility. Future research should include the total cost of ownership (TCO) and life cycle assessment (LCA) for a more holistic evaluation.

This study presents a machine learning approach for predicting the dimensions of microstrip antenna slots based on antenna performance parameters such as frequency, gain, directivity, return loss (S11), radiation efficiency, and VSWR. A two-phase methodology was employed. In the first phase, ten regression algorithms were evaluated, and Random Forest was identified as the most effective model based on Mean Absolute Error (MAE) and R-squared (R²) scores. In the second phase, hyperparameter tuning was conducted using Grid Search to further improve the model’s performance. The optimized Random Forest model demonstrated consistent improvements in predictive accuracy, with R² values increasing across all output variables. These results indicate that the combination of regression-based modeling and systematic hyperparameter tuning is effective for capturing complex relationships in antenna design tasks. The proposed approach offers a promising data-driven alternative for geometric prediction in microstrip antenna development, particularly when analytical models are insufficient.

The Child Identity Card (KIA) is an official document issued to children aged 0–17 years as a form of early recognition and protection of legal identity. The issuance of the KIA aims to support orderly population administration, facilitate access to public services, and strengthen child protection in various social, educational, and health aspects. In Bintan Regency, this policy has been implemented since 2017 and was reinforced through Regent Regulation No. 6 of 2022. However, in 2024, the KIA ownership rate only reached 53.48%, the lowest figure in the Riau Islands Province. This figure indicates a serious gap between policy and implementation in the field. In fact, the Bintan Regency Population and Civil Registration Office's Work Plan (Renja) set the KIA ownership target for 2024 at 65%, with the final realization being only 62%. This study aims to examine the factors influencing the low KIA ownership rate. The study used a descriptive qualitative approach with data collection techniques through in-depth interviews, observation, and documentation. Informants consisted of Disdukcapil officials and the community as service recipients. The implementation model used was Merilee S. Grindle's theory, which emphasizes six critical variables in policy success, including resources, communication, and implementer characteristics. The results of the study indicate that despite an increase in demand for KIA due to administrative requirements in education services, BPJS, and social programs, significant obstacles remain. These obstacles include limited outreach, a lack of service infrastructure in coastal and remote areas, and technical constraints such as a suboptimal online system. Therefore, acceleration strategies are needed, such as increasing the intensity of cross-sector outreach, integrating KIA services into integrated health post (Posyandu) and school programs, adding mobile services, and training local human resources.