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Women entrepreneurship in Micro, Small, and Medium Enterprises (MSMEs) plays a vital role in the local economy. However, women entrepreneurs often face complex emotional and psychological challenges due to their dual roles as housewives and entrepreneurs. Market uncertainty, social pressure, and lack of support from their environment further burden their workload. This study aims to explore the subjective experiences of women micro MSMEs, particularly in dealing with the psychological pressures of carrying out these roles. The research method used is a qualitative phenomenological approach with seven informants from the culinary, handicraft, and online trading sectors. Data were collected through semi-structured interviews and non-participant observation, then analyzed using a thematic approach based on the Miles & Huberman model. The results of the study revealed four main themes: (1) the pressure of dual roles that often trigger stress and emotional exhaustion (burnout), (2) chronic anxiety related to fear of business failure and income instability, (3) spirituality and religious activities as meaning-based coping mechanisms, and (4) the importance of social support from partners, family, and community as a balance of emotional conditions. These findings confirm that the success and sustainability of women's businesses depend not only on economic capital or technical skills, but are also significantly influenced by mental health and the strength of social networks. Therefore, empowerment programs for women's MSMEs need to be designed holistically, encompassing psychosocial aspects, coping strategy training, and strengthening supportive and inclusive social networks.

The rapid growth of RT/RW Net-based internet services among the community has driven the need for an integrated, efficient, and easy-to-use billing system. The self-help RT/RW Net model often faces challenges in terms of administrative management, especially related to customer recording, billing, and financial reporting which are still done manually. Common problems faced by partners are payment systems that have not been digitized and minimal transparency in data collection and tracking of customer transactions. The purpose of this activity is to design and implement a web-based billing application built using the Laravel framework. This application is designed to facilitate the process of managing customer bills, monitoring internet service usage, and preparing financial reports automatically and in a structured manner. The method of implementing the activity includes the system design stage, training partners in using the application, and assistance in direct implementation in the RT/RW Net operational environment. The results of the activity show that the developed system has succeeded in automating most of the billing process and increasing the efficiency of administrative management by up to 80%. In addition, this system also has a positive impact on increasing transparency and accuracy of customer data. Suggestions for further development include the addition of automatic payment features through integration with payment gateways, as well as improving the user interface to make it more responsive and user-friendly.

PT. XYZ  applies Information Technology in business processes to achieve company goals. achieve company goals. However the use of Technology brings risks that can reduce business effectiveness and efficiency of the business. PT. XYZ faced several problems in its IT department, including network connectivity issues, human error, hardware failure, ERP system integration failure, data security, and human error, hardware failure, ERP system integration failure, data security, data backup failures, system downtime, and power outages. This research applies data collection methods through interviews and risk analysis, evaluating the steps taken by the company in managing IT risks systematically. Research results show that the application of the COBIT 5 Framework is effective in identifying, assessing, and managing IT risks, thus helping the company to minimize losses and ensure smooth operations. This research provides recommendations for improved risk management that is more structured and data-driven risk management, as well as the importance of training for IT staff to improve risk management capabilities in the company. improve risk management capabilities in the company.

This study aims to systematically map the development of literature on Good Corporate Governance (GCG) using a mixed-method approach that integrates bibliometric analysis with VOSviewer and a systematic literature review. The research focuses on publications from the last five years (2020–2024), with data collected using the Publish or Perish software and the keyword “Corporate Governance.” The initial search identified 772 relevant scientific articles that met the inclusion criteria. Through network visualization analysis using VOSviewer, the study reveals that GCG research can be categorized into four thematic clusters, each representing distinct areas of focus. These clusters highlight key topics such as corporate performance, board structure, stakeholder relations, and sustainability practices, reflecting the diverse and evolving nature of GCG research. The findings provide valuable insights into the intellectual structure and research trends within the field, offering a foundation for future scholarly exploration and practical application.

In a context where students face increasingly complex academic choices, this work proposes a recommendation system based on Bayesian networks to guide new baccalaureate holders in their university choices. Using a dataset containing variables such as secondary school section, gender, type of school, percentage obtained, age, and first-year honors, we have constructed a probabilistic model capturing the dependencies between these characteristics and the option chosen. The data is collected at the Catholic University of Bukavu, the Official University of Bukavu, and the Higher Institute of Education of Bukavu, preprocessed and then used to learn the structure via the hill-climbing algorithm with the BIC score using R's bnlearn tool. The model enables us to estimate the probability that a candidate will choose a given stream, depending on their profile. The approach has been validated using metrics such as BIC, cross-validation, and bootstrap and offers a good compromise between interpretability and predictive performance. The results highlight the potential of Bayesian networks in constructing explainable recommendation systems in the field of academic guidance. The system produces orientation probability maps for each candidate, which can be used by enrollment service advisers, as well as an ordered list of options relevant to the candidate's profile. With a remarkable performance on a test sample of precision@k=0.85, recall@k=0.61, ndcg=0.8, and Map=0.88, it constitutes an effective lever for reducing the risk of being misdirected in universities in South-Kivu, in the Democratic Republic of Congo

This study aims to map trends, patterns, and scientific developments related to sharia compliance in Islamic financial institutions through a bibliometric approach and network visualization using VOSviewer software. The data analyzed amounted to 409 scientific journal articles obtained from international databases during the 2019-2024 period. The analysis was conducted using quantitative methods for bibliometric data mapping and qualitative methods for literature review. The results showed a significant increase in the number of publications discussing sharia compliance, with five main clusters of interrelated topics, such as implementation, sharia governance, financial performance, the role of the Sharia Supervisory Board, and sharia principles. The findings show that compliance with sharia principles is an important aspect in maintaining the credibility and sustainability of Islamic financial institutions, although its implementation still faces various challenges, such as limited human resources and competitive pressures with conventional institutions. This study is expected to serve as a basis for further research and strategic input for regulators and industry players in strengthening the Islamic financial system.

This research discusses the process of relocating residents from informal settlements under the Pasopati Bridge to Simple Rental Flats (Rusunawa) in Solokan Jeruk, Bandung Regency. This relocation is a policy of the Bandung City Government and West Java Provincial Government to organize extreme slum areas and provide adequate housing for low-income people. Using a qualitative approach and literature study, this research analyzes the mechanisms for implementing relocation, the actors involved, and the social and economic impacts experienced by residents after relocation. The research results show that although relocation provides access to more adequate housing and basic facilities, residents face serious challenges in terms of social adaptation, loss of community networks, increased economic burden, and loss of old sources of livelihood. Relocation also causes psychosocial pressure and shifts in the structure of social interactions due to changes in the physical environment and social norms in the flat. This study emphasizes the importance of a participatory approach and comprehensive post-relocation interventions, including economic, social and psychological support, so that relocation is not just a physical transfer, but also a sustainable life transformation for affected residents.

This community service activity aims to increase the financial independence of the Women Farmers Group (KWT) in Sudiang, Makassar, through a networking approach and strengthening financial literacy capacity. The main problems faced by the local KWT are the still low understanding of group financial management, limited access to financial information, and dependence on external assistance. Through socialization, training, and interactive discussions, participants were provided with an understanding of the basic concepts of financial independence, simple financial record keeping, collective fund management, and the importance of institutional networks as a sustainability strategy. The results of the activity showed an increase in members' understanding of the importance of financial literacy and the ability to design an internal financial system independently. In addition, strengthening networks with local stakeholders was also started as a first step towards finding a KWT business. The activity concluded with a question and answer session and the presentation of certificates to participants as a form of appreciation and ongoing motivation. Going forward, further mentoring is needed so that the empowerment process can continue to develop consistently. As a follow-up to this activity, a sustainable mentoring strategy is needed so that the understanding and skills that have been acquired do not just stop at the level of knowledge, but can be implemented in real life in the KWT's daily activities. This mentoring can include monitoring the group's financial records, facilitating access to microfinance institutions, and training in building partnerships with external parties such as government, academics, and the private sector. With structured mentoring, KWT is expected to be able to build a transparent and accountable financial management system and support the growth of sustainable, productive businesses. This aligns with efforts to strengthen women's independence in the agricultural sector while contributing to the welfare of families and the wider community.

This study uses a qualitative method to analyze the dynamics of the business environment within the context of the digital economy, specifically focusing on the impact of platformization on industry competition. Rapid digital technological developments have given rise to various digital platforms that disrupt conventional business models and reshape market structures across multiple sectors. Platforms such as marketplaces, ride-sharing services, and fintech companies have become dominant actors influencing competitive patterns, value distribution, and relationships between large and small enterprises. This research aims to understand how digital platforms affect industry competition through vertical integration, network effects, and data control. The findings reveal that platformization enhances transaction efficiency and market access but also creates imbalances in market power, digital monopolies, and dependency on algorithms. In this context, government regulation and business adaptation strategies are essential to maintaining competitive balance and ensuring the sustainability of the digital ecosystem. The study recommends the adoption of adaptive regulatory approaches and multi-sector collaboration to foster healthy competition in the digital era.    

In geotechnical engineering, building robust structures is crucial to ensure the bearing capacity of structures against external forces, so making sure soil strength and unreliable build cost and duration prediction are also very important and preliminary aspects of any construction project. Therefore, in this first-of-its-kind modern examine, the capability of various artificially intelligent (AI)-based models toward reliable forecasting and estimation of preliminary construction expenses, duration, and strength at shear is explored. First, background information about the revolutionary artificial intelligence (AI) technique along with its many distinct models ideal for geotechnical and building engineering problems is presented, The use of AI-based models in the literature for the aforementioned construction and maintenance applications is discussed in a number of current works, together with their benefits, drawbacks, and future directions. Several important input elements that significantly affect the preliminary price of construction, construction time, and soil's shear strength estimation are listed and given through analysis. Finally, some obstacles to employing AI-based models for precise forecasts in these applications are discussed, along with elements influencing the problems with cost overruns. Thus, this work can help civil engineers make effective use of artificial intelligence (AI) to solve difficult and risky tasks. It can also be used to Internet of Things (IoT) environments for self-learning applications like smart architectural health-monitoring systems

The rapid evolution of digital technology has significantly reshaped how Generation Z communicates, interacts, and participates in social activities. Born in a digital-native era, Gen Z demonstrates strong capabilities in using digital platforms, positioning them as key players across various domains, from social engagement to the workforce. This research applies a descriptive qualitative method to explore how Gen Z actively and creatively utilizes technology. Data were gathered through semi-structured interviews, online observation, and digital content analysis. The findings indicate that Gen Z frequently engages with social media platforms like TikTok, Instagram, and WhatsApp to express themselves, share insights, and expand their networks. However, uncontrolled usage also brings potential downsides such as digital addiction and exposure to inappropriate content. In the professional world, their digital proficiency offers a strong advantage, as they are quick to adapt to evolving digital work systems. In conclusion, Generation Z holds substantial potential to influence social and economic transformation, provided they are supported with sufficient digital literacy and appropriate guidance.

The rapid growth of financial technology (fintech) has significantly transformed the funding landscape for Small and Medium Enterprises (SMEs), offering innovative financial solutions beyond traditional banking institutions. This study presents a bibliometric analysis of fintech’s role in SME financing, identifying emerging trends and research gaps. Utilizing bibliographic coupling and co-occurrence network analysis, data from Scopus were analyzed to uncover the intellectual structure and evolution of research in this field. The results highlight key themes, including the integration of blockchain, peer-to-peer lending, financial inclusion, and crowdfunding in SME financing. A particular focus on Islamic finance and Islamic crowdfunding indicates a growing interest in alternative financing mechanisms that align with Sharia principles. Additionally, the study reveals an increasing academic focus on fintech adoption in developing economies, particularly in Indonesia and Nigeria, where access to capital remains a critical challenge. The findings underscore fintech’s role in democratizing financial access for SMEs, bridging funding gaps, and fostering economic growth. Future research should investigate regulatory frameworks, risk management strategies, and technological adoption models to optimize the impact of fintech on sustainability in SME financing.

Geopolitical tensions have evolved from peripheral risks to central drivers of global capital flows, disproportionately affecting Emerging Markets (EMs). This study provides a comprehensive bibliometric mapping of the academic landscape linking geopolitical dynamics, international finance, and investment in EMs. This study uses a dataset of 1,039 documents extracted from high-impact databases to analyze performance and conduct science mapping with R-Bibliometrix. The analysis covers publication trends, citation structures, and conceptual evolution over the last century, with a focus on the surge in literature post-2018. Results indicate an exponential growth in scientific production, peaking in 2024. The thematic structure reveals a shift from traditional debt crisis narratives (1990s) to contemporary concerns regarding sanctions, protectionism, and trade policy (2020s). Network analysis identifies three distinct clusters: (1) International finance and market mechanisms, (2) Political economy and development in the Global South, and (3) Institutional governance (IMF/World Bank). This paper bridges the gap between political science and financial economics by visualizing how international finance serves as the dominant anchor connecting developed economies (the USA and the UK) with key emerging markets (China and Indonesia) amid rising global fragmentation.

Villages are the smallest government structure in the Republic of Indonesia. Amborgang Village is located in an inland area of Porsea Sub-district that is difficult to access using the internet network, so many migrants from outside the village and tourists have difficulty finding road access to the village. The lack of clear road directions causes confusion and difficulty finding important locations of Amborgang Village, such as public facilities, hamlet names, and community service centers. The purpose of this research is to create informative and easy-to-understand road directions to improve accessibility in the village. The method used through qualitative and quantitative approaches, including determining the right location for the installation of the directions, creating an attractive and useful visual design. It also included informing the community about the use and function of the signage. The results of this project show a significant improvement in the ease of navigation to the Village facility center, this can be reviewed after the installation of road directions makes newcomers no longer need to ask questions to Amborgang Village residents.

The reliability of a data center is highly dependent on its air conditioning and cooling system. This research evaluates the existing cooling system of Universitas Krisnadwipayana’s data center using the PPDIOO Network Life-Cycle approach. The study finds that the current cooling system, which relies on AC Split, fails to meet TIA-942 standards, posing significant overheating risks and increasing downtime probability. Observational analysis shows that the cooling distribution is inefficient due to inadequate airflow and the absence of a structured cooling layout. To address these issues, this research proposes an optimized cooling system design that incorporates Computer Room Air Conditioning (CRAC), hot aisle-cold aisle arrangement, and raised floor implementation. The recommended improvements also include installing temperature and humidity sensors for real-time environmental monitoring and implementing N+1 redundancy for enhanced system reliability. These solutions are expected to improve cooling efficiency, reduce energy consumption, and mitigate downtime risks. Future research should focus on evaluating the practical impact of this design by conducting real-world trials and exploring liquid cooling technology as a potential alternative for further efficiency improvements.

In 2023, Batam City will record 550 homeless people and beggars undergoing rehabilitation. In 2024 (January-July), this number will drop significantly to 237. The aim of this research is to determine government collaboration in handling homeless people and beggars in Batam City. The method used is descriptive qualitative, there are eight informants with data collection techniques through interviews, observation and documentation. Data analysis was carried out through data reduction, data presentation, and drawing conclusions. This research uses Collaborative Governance theory from Deseve, namely Network Structure (Organizational Structure), Commitment to a Commom Purpose (Commitment to the goal), Trust Among the Participants (mutual trust between actors), the existence of Governance Certainty, Access to Authority (Access to power), Distributive Accountability (Sharing responsibility), Information Sharing (Sharing Information), Access to Resources (Access to Resources. The findings obtained are (1) Network Structure: Satpol PP carries out patrols and the Social Service supports it through the formation of a Rapid Response Team (TRC). (2) Commitment to a Common Purpose: Satpol PP and the Social Service are committed to outreach and reducing the number of Social Welfare Recipients, which is evaluated based on the budget. (3) Trust Among the Participants: collaboration between Satpol PP and the Social Service is running well thanks to open communication, regular coordination meetings, and mutual assistance. (4) There is certainty of governance: the role of Satpol PP and the Social Service is regulated in Regional Regulation No. 6 of 2002 and received support from other institutions. (5) Access to Authority: handling homeless people is regulated by Law no. 23 of 2014, with Satpol PP on patrol duty and the Social Service handling social problems through a budget supervised by the Inspectorate and BPK. (6) Distributive Accountability: The Social Service appoints the relevant OPD and forms a TRC which collaborates with Satpol PP in networking, while the TRC supports large or special activities. (7) Information Sharing: The Social Service shares the latest data and regulations in coordination meetings. (8) Access to Resources: Satpol PP and TRC have resources with a supporting budget as well as contributions from Srikandi PLN in counseling, equipment, and Pelni for the repatriation of homeless people and beggars. Therefore, researchers put forward suggestions, namely that the government should reach out more to the community and provide full assistance so that homelessness and beggars can be reduced.

The proliferation of network information algorithms (NIAs) in contemporary society has sparked significant ethical concerns regarding their societal impact. This study investigates the influence of NIAs on social interactions, decision-making processes, and the perpetuation of structural biases through a multidisciplinary perspective (Ananny, 2023). The findings reveal that while NIAs enhance operational efficiency across various domains, they also introduce ethical challenges, including privacy infringements, systemic inequities, and algorithmic opacity, which threaten social justice. Employing Ananny’s (2023) conceptual framework—which categorizes NIAs into three dimensions: encounters, observation, and probability/temporality—this research deconstructs the operational mechanisms of these algorithms. The analysis demonstrates that NIAs not only replicate historical biases but also engender new forms of discrimination through ostensibly neutral predictive processes. For example, algorithm-driven recruitment systems may perpetuate gender disparities if their training data reflects prior discriminatory practices (Crawford, 2021). This study underscores the inextricable link between technological ethics and societal context, arguing that an overreliance on algorithmic systems risks undermining human autonomy (Zuboff, 2019). The originality of this research lies in its integration of computational ethics theory with empirical case studies, such as the deployment of NIAs in mass surveillance, where privacy is often compromised in pursuit of perceived security. To ensure academic rigor, the arguments are developed through a critical comparison with prior research (e.g., Mittelstadt et al., 2016), while avoiding redundancy in phrasing or structure. Scholars such as Floridi (2019) emphasize the necessity of algorithmic transparency in regulatory frameworks. However, critics like Noble (2018) argue that technical solutions alone are inadequate; structural reforms in data governance and corporate accountability are essential to mitigate the misuse of NIAs. In response, this study proposes an ethical framework that not only addresses technical risk mitigation but also incorporates civic participation in algorithmic decision-making processes. The ethical implications of NIAs necessitate a holistic approach that integrates principles of data justice, independent algorithmic auditing, and public digital literacy. Future research should explore inclusive models of algorithmic governance, particularly in developing nations where regulatory frameworks often lag behind technological advancements. This study concludes with a reflective inquiry: How can algorithmic accountability be ensured if developers lack transparency regarding data sources and programming logic? By addressing these questions, this research contributes to the ongoing discourse on the ethical governance of NIAs and their societal implications.

Male infertility is a growing concern in reproductive health, affecting millions worldwide. Despite its significant impact on couples' ability to conceive, it remains underexplored compared to female infertility. This study offers a comprehensive bibliometric analysis of male infertility research, identifying trends, key contributors, and emerging areas of focus. By analyzing publication patterns, leading journals, influential authors, and collaborative networks, we aim to provide a nuanced understanding of the current state and future directions of this research field. The insights gained are expected to guide future investigations, enhance collaborations, and inform policymakers and clinicians about this evolving area. A systematic literature search was conducted in Scopus and Web of Science databases to retrieve relevant publications on male infertility. ScientoPy was used and bibliometric indicators, such as publication output, citation analysis, author collaboration networks, and keyword co-occurrence analysis, were used to explore the intellectual structure and research trends in this domain. Visualization tools, including VOSviewer, were employed to present the findings. The analysis included 2726 publications spanning from 2014 to 2024. The results reveal the most productive authors, influential journals, and highly cited publications in the field. Key research themes, emerging topics, and the evolution of the research landscape are discussed. Collaborations among authors, institutions, and countries are also examined to identify the intellectual structure and global research networks. This analysis provides valuable insights into the current state of research on male infertility The findings highlight the critical areas of focus, influential studies, and collaborative patterns that have shaped the field. Implications for future research directions, evidence-based practice, and potential areas for interdisciplinary collaboration are discussed.

This study aims to analyze the application of Deep Neural Networks (DNN) as an artificial intelligence approach in processing weather data to support more accurate and stable climate predictions. Increasingly unpredictable and fluctuating weather patterns demand modern analytical methods capable of capturing non-linear relationships among atmospheric variables. DNN is utilized due to its ability to learn complex data structures through multilayer representations that extract deeper features from input variables. Weather data such as temperature, humidity, rainfall, air pressure, and wind speed are processed through several preprocessing stages to ensure optimal model performance. This research employs a descriptive qualitative method based on literature studies to examine the role of DNN in weather prediction systems. The findings indicate that DNN demonstrates strong generalization abilities, robustness to fluctuating data, and more stable predictive outputs compared to conventional statistical approaches. Thus, DNN is considered a promising component for the development of early warning systems and modern data-driven climate analysis, offering improved reliability in understanding and forecasting atmospheric conditions.

In the digital era, the personal branding of lecturers and alumni plays a strategic role in enhancing university brand awareness. A strong academic identity and a positive image presented through digital platforms can strengthen the reputation of higher education institutions. This study aims to analyze how optimizing the personal branding of lecturers and alumni contributes to shaping university brand awareness. The research method used is a literature review by analyzing various scientific sources related to personal branding, brand awareness, and digital marketing strategies in the context of higher education. Data were collected from academic journals, books, and relevant publications discussing the role of digital media in building the image of academic institutions.The findings indicate that consistent and authentic personal branding of lecturers and alumni on digital platforms such as social media, university websites, and professional networks can enhance university exposure and appeal to prospective students and other stakeholders. Active interaction, expertise-based content, and participation in online academic discussions are key factors in building credibility and public trust. The implications of this study provide insights for universities in designing effective digital branding strategies by leveraging the active role of lecturers and alumni. Universities should encourage the strengthening of personal branding through training programs and structured digital communication policies to enhance institutional competitiveness at both national and global levels.