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Introduction: Additive Manufacturing (AM) has revolutionized the production of complex geometries, offering flexibility, customization, and precision across various industries. However, optimizing multiple process parameters simultaneously to enhance AM performance remains a significant challenge. This study focuses on improving both mechanical properties and surface quality by utilizing multi-objective optimization techniques. Literature Review: The research reviews existing approaches in AM optimization, highlighting the limitations of single-objective optimization and the potential of multi-objective evolutionary algorithms (MOEAs). Previous studies demonstrate the difficulty of balancing competing objectives, such as tensile strength and surface roughness, within AM processes. Materials and Method: This study employs NSGA-II, MOEA/D, and SPEA2 algorithms to optimize AM parameters like layer thickness, build orientation, and infill density. The optimization aims to improve mechanical performance, including tensile strength and impact resistance, while reducing build time and surface roughness. The methodology integrates experimental validation with computational predictions to evaluate the effectiveness of these algorithms. Results and Discussion: The optimization process yielded Pareto-optimal solutions that balanced mechanical strength and surface quality. The results demonstrated improvements in tensile strength and surface finish without significantly increasing build time. Trade-off analysis highlighted the inherent conflicts between mechanical performance and surface quality, allowing for better decision-making in industrial applications. The study contributes to the AM industry by offering a comprehensive optimization framework for improving both efficiency and product quality.

Surabaya is one of the metropolitan cities in Indonesia with significant potential for the development of sports performance and the improvement of public health quality. The advancement of modern sports requires a sport science–based approach that integrates training, health, technology, and research aspects. However, the lack of integrated sport science facilities remains a major challenge. Therefore, proper site selection is a crucial factor in the design of a Sport Science Center. This study aims to formulate appropriate site selection criteria for the design of a Sport Science Center in Surabaya. The research method used is descriptive qualitative, employing literature studies, site observations, and comparative analysis of alternative sites based on predetermined criteria. The results indicate that the main site selection criteria include accessibility, proximity to supporting facilities, compliance with spatial planning regulations, environmental conditions, land area, and future development potential. Based on the analysis, the Middle East Ring Road (MERR) area in Surabaya is considered the most suitable location for the development of a Sport Science Center.

This study explores the integration of community driven learning practices in the adoption of educational technology and its impact on sustainability. With the rapid advancement of digital tools and platforms, higher education institutions have increasingly adopted online and hybrid learning models to enhance teaching and learning. However, despite the potential benefits, aligning institutional goals with community needs remains a significant challenge. This research utilizes a mixed methods approach, combining stakeholder surveys, policy analysis, and comparative case studies to evaluate the effectiveness of both top down and community aligned adoption models. The findings reveal that community driven models, which involve local stakeholders in the decision making process, lead to higher engagement, better adoption rates, and greater long term sustainability compared to top down approaches. Stakeholders, including educators, students, and administrators, reported that participatory decision making fostered a sense of ownership and ensured the relevance of adopted technologies. The study also identifies key sustainability factors, including participatory decision making, long term community engagement, and contextual relevance, which are crucial for ensuring that educational technologies remain effective and beneficial over time. However, challenges such as resistance to change, lack of resources, and unequal access to technology were found to hinder the successful implementation of sustainable models. The research concludes with practical recommendations for educational institutions and policymakers to adopt community aligned models and ensure equitable access to technology. Future research directions are suggested to further explore the balance between institutional innovation and community driven learning, with a focus on long term outcomes and the adaptability of these models across different educational contexts.

The rapid development of e-commerce in Indonesia makes transactions easier for consumers, but also presents various losses, such as fraud, goods that do not match the description, leaks of personal data, and problems with returning goods. In this context, Law Number 1 of 2024 concerning the Second Amendment to Law Number 11 of 2008 concerning Information and Electronic Transactions (UU ITE) exists as a legal basis which is expected to provide protection for consumers in online buying and selling transactions. This research aims to explore and analyze the effectiveness of the legal protection provided by the ITE Law for consumers, with a focus on protection for detrimental transactions, consumer personal data, as well as dispute resolution mechanisms. The research method used is a normative approach with a literature study of statutory regulations and related legal literature. The research results show that the ITE Law provides quite comprehensive legal protection, including the obligation of electronic system operators to ensure the security of transactions and personal data, as well as regulating sanctions for perpetrators of fraud. However, even though regulations already exist, implementation and consumer understanding of their rights is still a major challenge.

Civil servants (ASN) entering retirement represent a strategic human resource asset for national development; however, their potential is often underutilized due to an institutional vacuum. This study identifies this fundamental problem as manifesting in two dimensions: the absence of a cohesive structure among the retired community and the lack of a structure that systematically connects them to the economic empowerment ecosystem. Consequently, the transition from active service to a productive retirement period presents a significant challenge. The purpose of this research is to design an effective institutional forum model to serve as a facilitative bridge. The analysis employs a framework integrating three pillars: Mochtar Kusumaatmadja's Development Law Theory as the philosophical foundation, Ansell and Gash's Collaborative Governance concept as the governance paradigm, and the Pentahelix model as the operational framework. This study proposes a multi-stakeholder collaborative forum designed to synergize the roles of government, industry, academia, communities, and the media. The primary recommendation is the establishment of a formal entity functioning as an incubator and accelerator. This entity is intended not only to address the economic needs of retirees but also to align with the country's constitutional mandate to achieve sustainable social welfare.

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.

In the context of both public organizations and Small and Medium Enterprises (SMEs), inefficient business processes remain a significant challenge. Fragmented information systems often hinder the optimization of these processes, leading to slower decision-making, redundant efforts, and increased operational costs. This study aims to analyze and optimize business processes by utilizing integrated information systems (IIS), providing a comparative analysis between the two sectors. The theoretical framework explores key theories such as Business Process Management (BPM) and the integration of information systems for process optimization. Previous studies highlight the differences in how IIS implementation impacts the public and SME sectors, noting challenges such as data silos, legacy systems, and resistance to change. A case study analysis methodology was employed to assess the effectiveness of IIS across both sectors. Business Process Modeling (BPMN) was used to visualize business processes before and after optimization, and process performance was measured through key metrics such as time reduction, error rates, and cost efficiency. The results show that IIS integration improved business process efficiency by an average of 28%, with reductions in redundancy and faster decision cycles observed in both sectors. Public organizations benefited from enhanced service delivery and better resource management, while SMEs gained competitive advantages through streamlined operations and increased responsiveness to market demands. The comparison reveals that integrated systems had a greater operational impact than traditional isolated process reengineering methods. Public organizations faced more regulatory and governance challenges, while SMEs leveraged their flexibility for faster integration. Recommendations for both sectors include focusing on overcoming barriers such as resistance to change and investing in system modernization. Future research should explore the long-term effects of IIS integration and further sector-specific comparisons.

Creative writing plays an important role in developing students’ imagination, self- expression, and language competence in the digital era. However, many learners still struggle with generating ideas, maintaining motivation, and gaining confidence in writing. This study aims to analyze how the use of Wattpad, viewed through the Social Constructivist framework, can enhance students’ creative writing skills, motivation, and confidence. This research applies a qualitative descriptive approach supported by survey data from 30 high school students who actively use Wattpad. The results show that 95.7% of respondents have used Wattpad before, with most of them using it to read and learn from other writers. A total of 60.9% of respondents stated that reading other writers’ works was the most helpful for improving their writing, while 17.4% highlighted peer comments and feedback as additional support. Despite its benefits, 43.5% of students mentioned difficulty in organizing ideas as their main challenge. Open-ended responses revealed that positive feedback and community interaction on Wattpad helped increase students’ motivation and confidence in writing. The discussion emphasizes that the social interaction and feedback features of Wattpad foster collaborative learning, aligning with Vygotsky’s concepts of scaffolding and the Zone of Proximal Development. These findings suggest that integrating Wattpad into writing instruction can effectively enhance students’ creativity, critical thinking, and confidence in producing literary works.

The growth of coffee shop businesses in Semarang has accelerated in line with the rising coffee consumption trend among younger generations. In this context, employees play a crucial role in ensuring service quality. However, job dissatisfaction triggered by work-related stress and excessive service load remains a significant challenge. This study aims to examine the influence of occupational strain, service load, reward fairness, supervisory support, and work-life balance on job satisfaction among coffee shop employees in Semarang. A quantitative approach was used through a survey method, utilizing a questionnaire distributed via Google Form. A total of 100 respondents from various coffee shops in Semarang were selected using a census technique. The results revealed that occupational strain and service load have a negative and significant effect on job satisfaction. Meanwhile, reward fairness, supervisory support, and work-life balance have a positive and significant impact on job satisfaction. These findings offer valuable insights for coffee shop owners in developing effective human resource strategies that promote employee wellbeing and maintain high service quality.

The JKN Mobile application is an electronic-based service innovation introduced by BPJS Health to facilitate JKN participants in accessing healthcare services and managing their membership information. This study aims to explore the experiences and perspectives of outpatient patients regarding the effectiveness of the JKN Mobile online registration system at Baubau City Regional General Hospital. A qualitative phenomenological approach was employed, with informants selected through purposive sampling. Data were collected to capture the meanings of patients’ experiences in using the application. The findings show that most patients are satisfied with the practicality, speed, and flexibility of the online registration system. However, technical problems, particularly unstable internet connectivity, remain a major challenge. Furthermore, the online registration system has contributed to improved service efficiency and patient satisfaction. These findings indicate the importance of continuous evaluation and improvement of the JKN Mobile online registration system to enhance service quality and health information system development at Baubau City Regional General Hospital.

This study aims to explore the potential of Ajung Village, Kalisat District, Jember Regency, through an analysis of the management planning of a Village-Owned Enterprise (BUMDes) as an instrument of development and community empowerment. Although Ajung Village has significant economic potential, particularly in the agricultural sector, micro-enterprises, and other local economic activities, BUMDes management is still not optimal. This is evident in the lack of a directed business plan, weak coordination between administrators, and minimal evaluation of the business units being run. This study also assesses the role of the village government in supporting BUMDes development and the extent to which community participation can drive the effectiveness of existing programs. Using qualitative descriptive methods through interviews with the village government, BUMDes administrators, and the community, the results show that although community participation is relatively high, the managerial capacity of the administrators remains a major challenge. Lack of training, understanding of financial governance, and the lack of potential mapping have prevented the village BUMDes from functioning optimally as a driver of the village economy. Therefore, this study designs strategies to increase the effectiveness of BUMDes by strengthening the capacity of administrators, optimizing local potential, and synergizing the village government with the community.

In an ever-evolving digital era, the protection of human rights has become an increasingly complex and urgent challenge. Digital constitutionalism emerges as an innovative and necessary framework to address this challenge, integrating human rights principles into technology-based state governance. This journal aims to explore how digital constitutionalism can strengthen the protection of human rights while analyzing the challenges and opportunities faced in its implementation. Through a qualitative analysis approach, this research collects and analyzes relevant literature as well as case studies from various countries that have adopted the principles of digital constitutionalism. The findings indicate that while digital constitutionalism offers significant potential to enhance human rights protection, substantial challenges such as privacy, data security, and access to information still need to be addressed. Furthermore, the role of government, civil society, and the private sector is crucial in creating an environment that supports the protection of human rights in the digital space. The conclusion of this research emphasizes the importance of cross-sector collaboration to ensure that human rights are not only constitutionally recognized but also effectively protected in practice. Thus, digital constitutionalism serves not only as a tool for safeguarding human rights but also as a driver for creating a more transparent, accountable, and responsive governance system to meet the needs of society in the digital era.

The problem of Out-of-School Children (OSC) in Lebak Village, Grabag Subdistrict, Magelang Regency, represents a complex educational issue that requires appropriate handling strategies. This study aims to analyze the factors influencing the high number of OSC while evaluating the strategies implemented by Universitas Tidar students through the Community Service Program (KKN) in addressing this challenge. The findings reveal three main causes of OSC: zoning, learning motivation, and local culture. The zoning factor is related to limited access to public schools due to distance, while low learning motivation emerges from the lack of family support. Cultural factors are reflected in parents’ tendency to prioritize religious education in traditional Islamic boarding schools that do not follow a formal curriculum, which results in children not receiving general education diplomas. The strategies applied by KKN students included socialization about the importance of education to both students and parents, installing learning schedule banners to build study discipline, and providing direct mentoring for children at risk of becoming OSC. This approach highlights the importance of collaboration among families, schools, communities, and the government in creating a supportive environment for children’s education. The outcomes of the program show an increase in community awareness regarding the importance of formal education and the emergence of renewed motivation among children to continue schooling. Thus, it can be concluded that the KKN strategies contributed positively to reducing the number of OSC and can serve as a sustainable model of community empowerment in the field of education.

This study examines the perceptions of the Pucangadi Village community towards the educational children's program "SiBobo" broadcast by TVRI Central Java. This research uses a descriptive qualitative approach, with data collection techniques through in-depth interviews with fifteen informants selected purposively. Informants consisted of parents, teachers, and local residents who have views regarding the program. The purpose of this study was to explore the extent to which the program "SiBobo" is accepted and has a positive impact on the development of children in the community. The results showed that the program "SiBobo" is considered an entertaining and educational learning medium by the majority of informants. This program successfully conveys moral and social messages relevant to children's lives, such as the values ​​of togetherness, social awareness, and the importance of protecting the environment. This program is also considered able to attract children's attention in a fun way, making them interested in learning while playing. In addition, the content presented in this program can increase children's knowledge about local culture and wisdom, which is expected to increase their love for Indonesian culture. However, despite "SiBobo"'s high educational value, the presence of gadgets and children's preference for digital content, such as YouTube videos and game apps, often divert their attention from public television. Children are more interested in shows they can access anytime through their devices. This suggests that while television shows like "SiBobo" still play a significant role, competition from digital media presents a significant challenge. This study emphasizes the importance of revitalizing children's programming based on local values ​​and the need for more adaptive communication strategies to optimally convey educational messages.

Integrated assessment is a multidisciplinary approach used in the judicial system to evaluate the psychological, social and medical conditions of legal subjects, particularly in cases involving children, victims of violence, persons with mental disabilities or defendants with psychological disorders. This study aims to examine the evidentiary strength of integrated assessment from juridical and psychological perspectives using a normative juridical approach. The findings reveal that although integrated assessments are recognized in legal practice, their status as admissible evidence is not yet explicitly regulated in criminal procedural law. From a psychological perspective, such assessments possess high scientific value and can provide an objective overview of the subject’s condition. However, limited understanding among legal practitioners regarding the interpretation of assessment results remains a major challenge. Therefore, regulatory harmonization and cross-sectoral capacity building are needed to optimize the function of integrated assessments in court proceedings.

Disposal area is an area at an open pit mine that is used as a place to store or dispose of worthless materials. Disposal must also follow the specified safety factor standards, if the disposal design is not safe after being analyzed by a geotechnical engineer, the design must be redesigned to achieve the desired safety factor value. One way to increase the fk value is to make a Counterweight plan in making disposal. Where Counterweight is a fill material that is made with special treatment so that the soil bearing capacity increases which functions to withstand the load on it. Landslides on disposal slopes are one of the serious problems faced in mining activities, especially in areas with vulnerable geological and topographic conditions. PT Jembayan Muarabara, which operates in Marangkayu District, Kutai Kartanegara Regency, East Kalimantan Province, is no exception to this challenge. The A–A’ cross section shows a safety factor value of 1.118 in saturated conditions, which indicates that the slope is at a stable limit and needs to be improved through engineering such as adding counterweights. The B–B’ cross-section has a safety factor value of 2.332, which is included in the safe category and has met the provisions of the ESDM Ministerial Decree No. 1827 K/30/MEM/2018. The C-C’ cross-section has a safety factor value of 1.511, which is included in the safe category and has met the provisions of the ESDM Ministerial Decree No. 1827 K/30/MEM/2018.

The development of digital technology has changed the landscape of educational media, especially in the field of engineering, where abstract concepts often pose a challenge. In electrical engineering education, students often have difficulty understanding concepts such as current flow and circuit behavior due to limited class time and a lack of visualization tools. This study aims to evaluate the effectiveness of Augmented Reality (AR)-based learning media in enhancing conceptual understanding, learning outcomes, and student engagement in the Electrical Circuits course. A quasi-experimental design with pre-test and post-test control groups was applied, involving two groups: one group used AR-based media, while the control group used traditional instruction. Both groups underwent pre-tests and post-tests with 30 multiple-choice questions. Data were analyzed using descriptive statistics and N-Gain scores. Results showed that the experimental group experienced a significant improvement, with the average post-test score increasing from 62 to 81 and an N-Gain score of 0.48, while the control group only improved from 61 to 71 with an N-Gain score of 0.25. Statistical tests confirmed significant differences between the two groups. These findings indicate that AR is effective in enhancing understanding of complex concepts and can be integrated into technical education curricula to meet modern learning demands.

Following the fall of the ISIS caliphate in the Middle East, the threat of terrorism did not immediately disappear. On the contrary, the transformation of ISIS's strategy and patterns of ideological dissemination has opened a new chapter in the region's security dynamics, including in Southeast Asia. Indonesia and the Philippines have become two countries significantly impacted by the spread of ISIS-affiliated networks and ideology, both through direct attacks and digital propaganda. This study seeks to analyze how the evolution of the post-ISIS terrorist threat may influence the security policies of these two countries, as well as how national and regional strategic responses are formulated to confront this challenge. This research employs a qualitative approach with a literature study method, and utilizes traditional security and human security theories as its analytical framework. Preliminary findings indicate that the character of the post-ISIS threat tends to be decentralized, relying on individual radicalization and small cells. While Indonesia prioritizes a counter-radicalization and legal regulatory approach, the Philippines focuses more on large-scale military operations. This study affirms the importance of regional cooperation in strengthening security capacity, as well as the need for more adaptive strategies against the ever-evolving new forms of terrorist threats.

This study examines how branding ambassador Syifa Hadju and content marketing affect Glad2glow skin care purchases. The research will focus on @glad2glow Instagram followers. This research was inspired by severe local perawatan kulit competition and consumer apathy about buying. Glad2glow hired Syifa Hadju as its brand ambassador and implemented a social media content marketing campaign to address this challenge. Using a Likert-scale questionnaire, quantitative data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) and SmartPLS software. According to the research, Syifa Hadju significantly improves the possibility of customers completing a purchase, while engaging and consistent content marketing enhances audience engagement. Both components boost customer purchase intent, but the brand ambassador has a greater impact. These findings help create effective digital marketing strategies in the competitive perawatan kulit business.

Thyroid cancer is the most common endocrine malignancy, with a steadily increasing incidence rate. Although the overall survival rate is relatively high, the risk of recurrence after definitive treatment such as Radioactive Iodine (RAI) therapy remains a significant clinical challenge. Predicting recurrence risk is crucial for optimizing monitoring strategies and interventions. With advances in technology, machine learning (ML) approaches are increasingly utilized to support medical predictions, including the recurrence of thyroid cancer. This study aims to evaluate the performance of four classification algorithms—Logistic Regression, XGBClassifier, Random Forest Classifier, and Voting Classifier—in predicting thyroid cancer recurrence using the Thyroid Cancer Recurrence After RAI Therapy dataset, which consists of 383 patient records and 13 key clinical attributes. The evaluation was conducted using accuracy, precision, recall, F1-score, and area under the curve (AUC) metrics. The results show that the XGBClassifier is the best-performing model with an accuracy of 97.4% and an AUC of 0.95, demonstrating superior performance in handling the minority class. This research is expected to contribute to the development of more effective machine learning–based clinical decision support systems for predicting thyroid cancer recurrence after therapy.