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Low Birth Weight (LBW) refers to infants born with a birth weight of less than 2,500 grams and remains an important issue in neonatal health due to its association with increased neonatal morbidity and mortality. To analyze the determinants of LBW based on primary studies published from 2021 to 2026. A literature review was conducted using the PRISMA approach. Article searches were performed through PubMed, Google Scholar, Scopus, ScienceDirect, and ProQuest using the keywords low birth weight, determinant factors, risk factors, BBLR, and faktor risiko with Boolean operators AND/OR. The inclusion criteria were primary studies, full-text availability, publication in Indonesian or English, and publication years from 2021 to 2026. A total of 20 articles were included, consisting of 15 international articles and 5 national sources. The review showed that LBW is influenced by interrelated maternal, nutritional, obstetric, and sociodemographic factors during pregnancy. The most dominant factors included multiple pregnancy with an adjusted OR of 21.74, maternal food insecurity with an AOR of 6.85, maternal hemoglobin level <11 g/dL with an AOR of 5.21, lack of iron-folic acid supplementation with an AOR of 4.17, maternal age ≤20 years with an AOR of 3.42, pregnancy interval <1 year with an adjusted OR of 2.92, missed antenatal care visits with an AOR of 2.74, smoking during pregnancy with an OR of 2.18, and maternal hypertension with an AOR of 1.94. LBW is influenced by multiple interrelated factors; therefore, efforts to reduce its incidence should focus on evidence-based interventions, particularly through optimizing antenatal care services, improving maternal nutritional status, and early detection of pregnancy.

The digital era has fundamentally transformed the market landscape, requiring e-commerce platforms to understand the determinants of consumer behavior. This study aims to analyze the role of E-commerce Trust as a mediating variable in the relationship between Perceived Ease of Use, Perceived Usefulness, and Perceived Enjoyment on Purchase Intention. Using a quantitative approach, data was collected from 326 active users of the Lazada platform in Central Java. Data analysis was conducted using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. The results show that the three main factors ease, usefulness, and enjoyment have a positive and significant influence on Brand Trust and consumer Purchase Intention directly. Furthermore, it was found that E-commerce Trust acts as a crucial mediator that strengthens Purchase Intention through positive user experience. Theoretically, this study strengthens the Technology Acceptance Model (TAM) framework and the context of Cross-Border E-commerce (CBEC) in the digital retail industry. Practically, these findings emphasize the importance of optimizing platform features to enhance transaction convenience and security and build long-term loyalty. The research's implications suggest that platform managers should focus on both aesthetics and functionality to create a credible and enjoyable digital shopping ecosystem for consumers in developing regions.

The Free Nutritious Meal Program (MBG) is a strategic initiative by the Indonesian government to address the long-standing issues of malnutrition and stunting, which have significantly hindered human resource (HR) development in Indonesia. The program aims to improve children's nutrition and reduce stunting by providing free nutritious meals, particularly in areas with limited access to healthy food. This study aims to analyze the legal framework of MBG, its effectiveness in achieving its goals, and its impact on national development. Using a qualitative approach, the study analyzes the implementation of MBG through document analysis, interviews with relevant stakeholders, and field observations. The findings highlight challenges within the program, including imbalanced food distribution, inadequate infrastructure in remote areas, and suboptimal food quality control, which resulted in several food poisoning incidents in 2025. Nevertheless, the program has a positive economic impact by empowering micro, small, and medium enterprises (MSMEs) involved in food supply. The study suggests strengthening the monitoring system, improving budget management, and better coordination between government sectors and communities to maximize the success of MBG. It also emphasizes the importance of nutrition education campaigns to support the program's goals. Overall, MBG is a crucial step toward creating a healthier and more productive generation, supporting the achievement of Indonesia's Golden Generation by 2045..

The increase in the number of elderly residents demands the provision of residential facilities that not only meet physical needs, but also support the psychological and social well-being of their users. This study aims to formulate the concept of behavioral architecture-based nursing home design by focusing on the relationship between elderly activity patterns, privacy levels, and spatial relationships of space in the local context of Indonesia. This study uses a qualitative-descriptive approach in the framework of architectural design, with data collection through observation of elderly activities, site analysis, and documentation studies. Activity data was analyzed to identify space needs and usage patterns, then synthesized with site characteristics to formulate the concepts of zoning, circulation, and behavior-based spatial relationships. The results of the study show that the activities of the elderly form a layered behavioral structure, including residential and health activities as primary needs as well as social, productive, and educational activities as support for psychosocial welfare. Hierarchically arranged space zoning based on privacy levels has been proven to improve the readability of the space, sense of security, and comfort of the elderly. The integration of green open spaces as part of the activity system also strengthens support for light physical activity and social interaction. This study confirms that the application of behavioral architecture allows the translation of data on elderly behavior and site conditions into a contextual, humanist, and quality-of-life-oriented design concept. These findings provide practical implications for designers and policymakers in the development of sustainable elderly housing.

Bullying is a psychosocial hazard that can occur in the school environment and may negatively affect students’ mental health, social interactions, and learning processes. Bullying can take various forms, including physical, verbal, and psychological actions that occur repeatedly and cause victims to experience emotional distress, decreased learning motivation, and feelings of insecurity at school. This Community Service Program (PKM) aimed to increase high school students’ knowledge and awareness regarding the dangers of bullying and its prevention through the principles of Occupational Safety and Health (OSH). The methods used in this activity included delivering educational materials through lectures, conducting question-and-answer sessions to assess students’ initial understanding, and facilitating interactive discussions to encourage active participation. Monitoring and evaluation were also conducted to assess the effectiveness of the activity. The results of the program indicated a significant improvement in students’ understanding and awareness of the forms, impacts, and prevention strategies related to bullying in the school environment. Students also demonstrated a more critical attitude toward bullying behavior and a greater awareness of the importance of creating a safe, healthy, and respectful school environment. The application of an OSH-based approach in bullying prevention is expected to strengthen the safety culture in schools and support the development of a conducive learning environment for all students.

Inconsistent terminology across cybersecurity frameworks undermines global governance and interoperability. The National Institute of Standards and Technology Cybersecurity Framework (NIST CSF 2.0) and ISO/IEC 27001:2022 share similar objectives but diverge semantically in defining risk, control, and resilience. This semantic gap causes difficulties in compliance mapping and automated policy translation. Research Objectives: This study aims to analyze the semantic similarity and divergence between NIST and ISO/IEC 27000 terminologies, identify conceptual structures influencing interoperability, and propose an AI-assisted foundation for harmonizing cybersecurity language globally. Methodology: A mixed-method semantic comparative design integrates Natural Language Processing (NLP) and ontology mapping. Using the nist_glossary.csv dataset and ISO vocabularies, terms were normalized and analyzed via cosine similarity using sentence-transformer embeddings. Ontological alignment was visualized through the Semantic Threat Graph (STG) and validated by certified experts using Cohen’s Kappa reliability tests. Results: From 672 term pairs, results show 40.9% high semantic equivalence, 38.8% partial overlap, and 20.3% semantic divergence. Strongest alignment appears in “Protect” and “Identify” domains, while divergences occur in governance and recovery-related terms. Ontology mapping revealed three conceptual clusters—Risk Governance, Technical Safeguards, and Organizational Readiness. Conclusions: Findings confirm a 79.7% total semantic alignment, indicating strong potential for harmonizing global cybersecurity standards. The study contributes an empirical model combining computational linguistics and AI-based ontology mapping to establish semantic interoperability, enabling unified cybersecurity governance and AI-driven compliance automation. Keywords: Semantic Interoperability; Ontology Mapping; Cybersecurity Frameworks; Terminology Alignment; AI Harmonization

Explainable artificial intelligence (XAI) has become a critical requirement in cybersecurity due to the high-stakes nature of security decision-making and the limitations of black-box learning models. This study investigates the construction of an explainable cybersecurity knowledge representation by leveraging standardized terminology from the NIST cybersecurity glossary. The primary problem addressed is the lack of transparent and semantically grounded reasoning mechanisms in existing AI-driven cybersecurity systems, which limits trust, accountability, and analyst adoption. To address this challenge, we propose a NIST-based semantic knowledge graph that embeds explainability directly into its ontology structure and reasoning process. The proposed framework systematically extracts definitional entities and relations from NIST glossary entries to construct a domain ontology and a multi-relational knowledge graph. A rule-based semantic relation extraction method is employed to ensure faithful, interpretable, and reproducible reasoning paths. The resulting knowledge graph contains over 3,000 cybersecurity concepts and approximately 27,000 semantic relations, covering hierarchical, associative, dependency, and mitigation semantics. Experimental evaluation demonstrates that the proposed approach achieves a high level of explainability, with 92.4% of reasoning outcomes being fully traceable and only 1.4% classified as non-traceable. Most explainable reasoning paths are limited to two or three hops, indicating an effective balance between inferential depth and human interpretability. Structural analysis further confirms the presence of meaningful hub concepts that support multi-hop semantic inference. These results confirm that ontology-driven, standard-based knowledge graphs provide a robust foundation for explainable cybersecurity intelligence. The study concludes that explainability-by-design, grounded in authoritative standards, offers a viable and trustworthy alternative to opaque AI models for cybersecurity applications.

The rupiah plays a vital role as a symbol of national identity and sovereignty, but awareness among rural communities about its function and importance is often limited. In Kutalimbaru Village, the main challenges identified are low monetary literacy, which results in physical damage to money and a lack of awareness about counterfeit money. Through the Real Work Lecture (KKN) program, community service efforts were carried out with the aim of internalizing the values of “Love, Pride, Understanding (CBP) of the Rupiah.” The approach used was community-based education through interactive workshops and practical demonstrations on money care techniques and an introduction to the security features of the Rupiah. Findings in the field show a transformation in the community's attitude; from being indifferent to being more careful in handling paper money and better understanding the role of the Rupiah in economic stability. This program has succeeded in increasing the financial literacy of citizens while strengthening the spirit of nationalism through appreciation of the national currency. Keywords: community empowerment, micro businesses, tempeh products, entrepreneurship, Sialaman Village.

This study aims to analyze the implementation of good governance principles in inclusive public services in Candisari District, Semarang City. The study used a descriptive qualitative approach with data collection techniques through questionnaires, interviews, and documentation. Research informants consisted of sub-district officials and community service users, including vulnerable groups. Data analysis was conducted through the stages of data reduction, data presentation, and conclusion drawing. The results of the study indicate that the implementation of good governance principles in Candisari District has begun, but has not been running optimally. The principle of transparency has been attempted through the provision of service information and the use of digital media, but accessibility of information for vulnerable groups is still limited. The principle of accountability has not been fully realized, as indicated by the less than optimal performance of the Women and Children Protection Task Force (Satgas PPA) in carrying out its duties and the less than optimal inclusive public complaint mechanism. From the aspect of participation, community involvement, especially vulnerable groups, in the planning and decision-making process is still limited and unstructured. In addition, legal certainty and regional security stability are relatively conducive, but still require institutional strengthening and synergy between stakeholders. This study concludes that the implementation of good governance in Candisari District still faces institutional, participation, and service accessibility constraints, so a strategy is needed to strengthen governance to realize inclusive and sustainable public services.

This research aims to analyze the quality of electronic services (E-Service Quality) on user satisfaction of the DANA digital wallet application in the West Jakarta area. The evolution of financial technology (fintech) in Indonesia has encouraged rapid growth in the use of digital wallets, including DANA which is recorded to have more than 200 million users by 2024. However, this rapid growth is still marred by a number of user complaints regarding system reliability, service response speed and transaction security. Therefore, this study is important to evaluate how much e-service quality dimensions influence user satisfaction levels. The research method used is a quantitative approach with an associative type of research. Data was collected through questionnaires from 100 respondents who were active users of the DANA application in the West Jakarta area using a purposive sampling technique. Data analysis was carried out using SPSS software through validity tests, reliability tests, and simple linear regression analysis. The research results show that E-Service Quality has a positive and significant effect on user satisfaction of the DANA application with a coefficient of determination (R Square) of 0.907, which means that 90.7% of the variation in user satisfaction can be explained by the E-Service Quality variable, while the remaining 9.3% is influenced by other factors outside the research model. The results of the significance test (t test) show a significance value (Sig. < 0.05) which indicates that the influence of E-Service Quality on user satisfaction has been proven to be statistically significant. The results of this study are expected to serve as evaluation material for DANA application managers in improving the quality of digital services, particularly in terms of efficiency, system reliability, security, and user responsiveness. Furthermore, this research is expected to provide theoretical contributions to the development of studies in the field of information systems and digital service management.

The conversion of agricultural land to non-agricultural land continues to increase along with the pressures of urbanization, industrialization, and settlement expansion. This condition poses risks to food security, environmental sustainability, and farmer welfare. This article reviews literature based on 25 abstracts/research results on LP2B in Indonesia to map policy implementation patterns, the relationship between LP2B and regional spatial planning, inhibiting factors, and the direction of policy strengthening. The method used is a narrative review with thematic synthesis of normative legal studies, juridical-empirical, qualitative, mixed methods, and spatial-quantitative approaches. The results of the review indicate: (1) LP2B is highly dependent on the harmonization of spatial planning policies, especially RTRW/RDTR and licensing mechanisms based on KKPR-OSS; (2) many regions are still stuck at the land inventory-identification stage, not yet reaching the determination and operational protection through LP2B Regional Regulations; (3) dominant obstacles include regulatory asynchronous, weak law enforcement, minimal cross-agency coordination, limited data by name by address, suboptimal socialization, and conflicts of interest in non-agricultural development; (4) incentive-disincentive instruments have not been implemented consistently, although socially farmers tend to accept LP2B protection; and (5) quantitative evidence at the national level shows that LP2B policies have a positive effect on the percentage of rice fields, despite being suppressed by population density and real estate sector growth. This article emphasizes the need for an integrated spatial governance approach, strengthening regional institutions, and designing policies that are socially and environmentally just to ensure that LP2B is effective in maintaining regional food security.

Advances in information technology have driven the transformation of banking services towards digitalization through mobile banking. Bank Central Asia (BCA), one of the largest private banks in Indonesia, offers m-BCA services to facilitate quick, practical, and efficient customer transactions. However, issues such as delayed notifications, system disruptions, and login problems still exist. This study aims to evaluate m-BCA user satisfaction using the PIECES Framework, which consists of six dimensions: Performance, Information, Economy, Control and Security, Efficiency, and Service. A descriptive quantitative approach was used, with a questionnaire distributed to 105 active m-BCA users in South Jakarta. Data were analyzed using mean values to assess satisfaction levels for each dimension, and validity and reliability tests were conducted. The results showed average scores of 4.02 for Performance, 4.08 for Information, 4.08 for Economy, 4.18 for Control and Security, 4.20 for Efficiency, and 4.09 for Service. The overall score of 4.10 falls into the "Satisfied" category. The highest score was for Efficiency, indicating strong support for users’ banking activities, while the Performance dimension scored lower, suggesting room for improvement. Overall, users are satisfied with m-BCA, but system performance improvements are needed for service stability and sustained satisfaction.

Mine slopes play a crucial role in ensuring the safety and sustainability of mining activities. Continuous mining operations can alter slope conditions, thereby increasing the potential for instability and slope failures. Slope stability is influenced by the balance between resisting forces and driving forces acting on the rock mass. When the resisting forces are smaller than the driving forces, the slope becomes unstable and failure may occur. Therefore, slope stability analysis is essential to prevent landslide hazards, as it directly affects occupational safety, equipment security, other assets, and overall production continuity. These conditions have encouraged PT Insani Bara Perkasa to develop a more accurate and real-time slope monitoring system. The application of radar-based monitoring was initiated using the CHCNAV PS-2000 system. This study aims to analyze the deformation behavior of mine slopes using radar technology. Data acquisition was conducted at Pit K1 Mahakam, PT Insani Bara Perkasa, covering Area 1 South, AR 2 South, AR 3 South, AR 5 South, AR 6 South, AR 7 West, AR 8 West, AR 9 South, AR 13 South, as well as TA-2, TA-3, and TA-6 areas. The study was carried out from November 2025 to December 2026. The analysis results indicate that most monitoring points are in stable conditions, with indications of a progressive phase observed in the AR 6 South area.

This study analyzes the effect of digital payment implementation (X1) and transaction security (X2) on SME development (Y) with financial stability as a mediating variable (Z) in SMEs in Sorong City. This study examines the effect of digital payment implementation and transaction security on SME development with financial stability as a mediating variable. The study was conducted on MSMEs in Sorong City, Eastern Indonesia, using an explanatory quantitative approach. The data were analyzed using Partial Least Squares-based Structural Equation Modeling (SEM-PLS). The results of the study prove that the implementation of digital payments and transaction security has a positive and significant effect on financial stability. Furthermore, financial stability was found to have a positive and significant effect on MSME development, while fully mediating the effect of transaction security and partially mediating the effect of digital payment implementation on MSME development. These findings contribute to an integrated conceptual model that combines the technology acceptance paradigm with financial management theory, and provide a strategic roadmap for policymakers and implementation guidelines for MSME actors.

Corn is a strategic agricultural commodity that contributes significantly to food security and economic development. Cilacap Regency, particularly Jeruklegi District, has considerable potential for corn production. However, the Wanasri Women Farmers Group (KWT) in Jeruklegi Wetan Village has not yet optimized corn utilization due to production and marketing constraints, resulting in limited value addition.This study aims to analyze the value added and production process efficiency of corn wonton chips as a healthy processed product to support the economic independence of women farmers. The study applies the Hayami value-added method and descriptive analysis to assess production efficiency. The findings show that processing 1 kg of corn into 15 packages of corn wonton chips generates an added value of IDR 98,500, with a value-added ratio of 54.72% and a profit rate of 49.16%. These results indicate that corn processing provides substantial economic benefits and is financially feasible. Improving production efficiency and cost control can further enhance profitability and sustainability. Overall, value-added processing of local corn has strong potential to increase income and strengthen the economic resilience of women farmers’ groups.

Corn is a strategic agricultural commodity that contributes significantly to food security and economic development. Cilacap Regency, particularly Jeruklegi District, has considerable potential for corn production. However, the Wanasri Women Farmers Group (KWT) in Jeruklegi Wetan Village has not yet optimized corn utilization due to production and marketing constraints, resulting in limited value addition.This study aims to analyze the value added and production process efficiency of corn wonton chips as a healthy processed product to support the economic independence of women farmers. The study applies the Hayami value-added method and descriptive analysis to assess production efficiency. The findings show that processing 1 kg of corn into 15 packages of corn wonton chips generates an added value of IDR 98,500, with a value-added ratio of 54.72% and a profit rate of 49.16%. These results indicate that corn processing provides substantial economic benefits and is financially feasible. Improving production efficiency and cost control can further enhance profitability and sustainability. Overall, value-added processing of local corn has strong potential to increase income and strengthen the economic resilience of women farmers’ groups.

The rapid expansion of internet usage has led to a significant increase in cybersecurity threats, particularly phishing attacks delivered through malicious links. Phishing links are designed to imitate legitimate websites in order to deceive users and steal sensitive information. This study presents the implementation of a phishing link detection website based on SSL validation and URL scoring mechanisms. The proposed system integrates heuristic-based URL analysis with real-time SSL certificate validation obtained through the SSL handshake process. Digital certificates are verified using RSA-based digital signature verification issued by trusted Certificate Authorities (CAs). In addition, the SHA-256 hash algorithm is employed to generate certificate fingerprints and URL hashes to ensure data integrity and uniqueness. The system also evaluates HTTPS usage, domain and certificate consistency, certificate validity period, and RSA public key strength. All validation results are processed using a URL scoring system to generate a security score ranging from 0 to 100, which classifies links into safe, suspicious, or dangerous categories. Experimental results demonstrate that the proposed website is capable of effectively identifying phishing indicators and providing transparent cryptographic evidence in real time. This approach can assist users in making informed decisions and improving protection against phishing threats in web environments.

This research aims to design and build a client service website and pre-registration of cases at the KOFIPINDO Law Office as a solution to administrative problems that are still carried out manually. The system is developed using the waterfall method through the stages of needs analysis, system design, coding, testing, and maintenance. The website that was built provides features for account registration, filling in case data, uploading supporting documents, and verification by the admin so that the file is ready to be submitted to the e-Court system. In addition, the system is equipped with a case status monitoring dashboard, automatic notifications to clients, and submission history that can be accessed at any time. The results of the study show that this platform is able to improve service efficiency, minimize administrative errors, and speed up the pre-registration process of cases. The implementation of this system also helps to increase the transparency of communication between law firms and clients. Furthermore, the use of this website has the potential to reduce the administrative workload of staff, optimize the management of case data, and improve the accuracy of legal documentation. The system is also designed with the client's data security and privacy aspects in mind in accordance with the principles of digital information protection. Thus, this system can be an effective, structured, and integrated digital means to support the modernization of legal services at KOFIPINDO, improve service professionalism, and strengthen the competitiveness of law offices in the digital ecosystem.

The increasing complexity and scale of modern network traffic driven by IoT and cloud-based infrastructures have made accurate intrusion detection a critical challenge. Conventional network intrusion detection systems (NIDS) and many deep learning–based approaches struggle to reliably detect minority and stealthy attacks due to severe class imbalance and limited discrimination of subtle traffic patterns. To address these limitations, this study proposes a hybrid CNN–RBF–Attention framework for network intrusion detection. The proposed model integrates three complementary components: (i) a convolutional neural network for hierarchical feature extraction from network flow data, (ii) a radial basis function (RBF) network for localized nonlinear classification using prototype-based decision regions, and (iii) an attention mechanism that adaptively weights RBF activations to emphasize discriminative traffic patterns. SMOTE is applied exclusively to the training data to mitigate class imbalance. The framework is evaluated on the widely used CICIDS2017 and CICIDS2018 benchmark datasets in both binary and multiclass settings, using recall, precision, F1-score, confusion matrices, and ROC analysis. Experimental results demonstrate that the proposed hybrid model consistently outperforms standalone CNN and RBF baselines, particularly in terms of recall and F1-score. On the CICIDS2018 dataset, the model achieves 99.81% accuracy and 99.81% F1-score in binary classification, and 99.54% accuracy and 99.54% F1-score in multiclass classification. On CICIDS2017, it achieves 98.12% accuracy and 98.12% F1-score in binary classification, and 98.92% accuracy and 98.92% F1-score in multiclass classification. Confusion matrix and ROC analyses further show strong class separability and reliable performance in low–false-positive-rate regions, which is critical for real-world IDS deployment. These results confirm that combining deep hierarchical feature learning, localized prototype-based classification, and attention-guided refinement yields a robust, operationally reliable intrusion detection framework for highly imbalanced network environments.

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