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This research aims to implement Business Intelligence and the TOPSIS method in a Decision Support System for selecting the best-selling products in retail stores through an analytical Dashboard. Retail businesses generate large amounts of transaction data every day, but the data is often only used for operational reporting and has not been optimally utilized for strategic decision making. This study integrates Business Intelligence technology, data Warehouse, ETL process, Dashboard Analytics, and TOPSIS method to analyze product sales patterns and determine the best-selling products based on several criteria such as sales quantity, stock turnover, profit level, customer demand, and sales frequency. The research method uses a system development approach consisting of data collection, dimensional modeling, ETL implementation, TOPSIS calculation, Dashboard design, and system evaluation. The results show that the implemented system can accelerate reporting processes, improve decision-making accuracy, and assist management in identifying strategic products quickly and interactively. The integration of TOPSIS with Business Intelligence Dashboards contributes to effective data-driven decision making in retail management.

Advancements in information technology encourage MSMEs to utilize information systems to enhance the effectiveness of their business management. Es Teh Arjuna, an MSME in Tegal City, faces challenges in monitoring partner sales and managing revenue because transactions are recorded manually using disparate methods; this results in slow data recapitulation, a risk of recording errors, and difficulty for the business owner in quickly accessing sales information. This study aims to analyze requirements, design, develop, and test a web-based information system for partner sales and revenue that provides information in  real-time. The Waterfall model was used for system development, while data collection involved observation, interviews, and a literature review. The system was developed using PHP and MySQL and tested via Black Box Testing. The results demonstrate that the system successfully integrates sales data from all outlets into a centralized database, streamlining the management of products, outlets, employees, cashiers, and sales transactions, as well as facilitating the generation of revenue reports for specific periods. Furthermore, the system enables the business owner to monitor sales performance more quickly, accurately, and systematically, thereby supporting decision-making and improving the operational efficiency of Es Teh Arjuna.

Islamic boarding schools (pesantren) are no longer viewed solely as religious educational institutions but also as socio-economic entities that play a strategic role in community empowerment and the development of the Islamic economy. The emergence of various pesantren business units, including Islamic cooperatives, Islamic microfinance institutions, agribusinesses, and service enterprises, reflects the transformation of pesantren into productive and economically independent institutions. However, many pesantren continue to face challenges in achieving economic sustainability, including weak governance systems, limited managerial professionalism, inadequate human resources, and excessive dependence on charismatic leadership. This study aims to develop a conceptual model of pesantren business governance based on Islamic governance principles to achieve institutional economic sustainability. Using a qualitative approach and library research method, this study analyzes relevant literature on pesantren economics, Islamic governance, sustainability, and risk management. The findings indicate that sustainable pesantren economic development requires the integration of Islamic governance values, namely amanah (trustworthiness), transparency, justice, and maslahah (public benefit), with modern management systems and comprehensive risk management practices. The study proposes a conceptual governance framework linking pesantren resources, sharia governance, professional management, and risk mitigation as key determinants of economic independence and institutional sustainability. This framework is expected to provide strategic guidance for strengthening pesantren-based economic development in a sustainable and socially beneficial manner.

The achievement of the Sustainable Development Goals (SDGs) in Indonesia continues to face various challenges, particularly those related to poverty, social inequality, and increasing environmental degradation caused by climate change. These conditions highlight the need for an instrument capable of integrating social welfare objectives with environmental sustainability. This article aims to analyze the role of green zakat as an Islamic social finance instrument in supporting the achievement of the Sustainable Development Goals (SDGs). The study employs a descriptive qualitative approach using a library research method through the collection and analysis of various sources, including academic journals, books, official reports, and other relevant documents related to zakat, Islamic social finance, green economy, and sustainable development. The findings indicate that green zakat has significant potential to support the achievement of the SDGs through environmentally based economic empowerment programs, such as sustainable agriculture, reforestation, waste management, and the development of eco-friendly businesses for vulnerable communities. In addition to contributing to poverty alleviation, green zakat can support climate change mitigation efforts and environmental conservation in line with the principles of maqashid sharia. However, its implementation still faces several challenges, including limited public literacy, inadequate regulatory support, and suboptimal governance of environmental-based programs. Therefore, stronger collaboration among government institutions, zakat management organizations, and society is needed to develop a more effective green zakat model. Future studies are recommended to conduct empirical research to measure the impact of green zakat implementation on specific and measurable SDG indicators.

The development of sustainability concepts in the banking sector has encouraged companies to implement Environmental, Social, and Governance (ESG) principles and develop Green Investment initiatives as part of their long-term business strategies. This study aims to examine the effect of ESG implementation and Green Investment on the firm value of banking companies listed on the Indonesia Stock Exchange during the 2022–2025 period. The research employed a quantitative approach using panel data regression analysis. Model selection was conducted through the Chow, Hausman, and Lagrange Multiplier tests, which indicated that the Random Effect Model (REM) was the most appropriate model for the analysis. The results reveal that ESG has a positive and significant effect on firm value, indicating that better implementation of Environmental, Social, and Governance practices enhances a company's value in the perception of investors and the market. Conversely, Green Investment has a negative and significant effect on firm value. This finding suggests that Green Investment is still perceived as a costly activity and has not yet generated direct economic benefits in the short term. Simultaneously, ESG and Green Investment significantly influence firm value, with the model explaining 35.1% of the variation in firm value. The findings imply that banking companies should continuously improve the quality of ESG implementation and optimize the management of Green Investments to create greater firm value and support long-term business sustainability.

The empowerment of Micro, Small, and Medium Enterprises (MSMEs) is a strategic effort to enhance the capacity and independence of business actors in supporting sustainable economic development. However, based on data from Rumah BUMN Aceh Utara, out of a total of 413 assisted MSMEs, only 9.16% have successfully upgraded their business status, while 90.84% have not yet done so. This study aims to describe MSME empowerment through the assistance program of Rumah BUMN Aceh Utara and to identify its supporting and inhibiting factors. This research employs a qualitative method with a descriptive approach. Data were collected through interviews, observations, and documentation involving Rumah BUMN managers and MSME actors, and were analyzed using the interactive model of Miles and Huberman. The results show that MSME empowerment in Rumah BUMN Aceh Utara is based on Suharto’s theory, which consists of three main approaches, namely empowering through training and mentoring that contributes to the improvement of business actors’ capacities, protecting through business legality facilitation, and supporting through the provision of production facilities, packaging machines, access to capital, promotion, and MSME gallery facilities, although these have not yet been fully optimized. The supporting factors of MSME empowerment include institutional support, technological development, and MSME participation, while the inhibiting factors include limited human resources, limited funding, and low participation of some MSME actors. This study emphasizes the importance of improving the quality of mentoring, optimizing the utilization of facilities, and increasing MSME participation to support the sustainability of empowerment programs.

The development of the internet and social media has encouraged e-commerce companies to utilize digital platforms as a marketing tool, one of which is Shopee through TikTok social media. The high frequency of digital advertising is thought to influence consumer attitudes, especially among Generation Z as active TikTok users. To determine the impact of Shopee's digital advertising frequency on consumer attitudes using promotions as a mediating variable on Generation Z TikTok social media users in Tasikmalaya, this study employed quantitative, descriptive, and verification techniques. A total of 100 respondents were sampled using purposive sampling techniques. An online questionnaire with a Likert scale of 1 to 5 was used to collect research data. Data were analyzed using Structural Equation Modeling-Partial Least Square (SEM-PLS) with the help of SmartPLS 4. The results showed that advertising frequency significantly and positively influenced consumer attitudes and promotions. In addition, promotions can mediate the effect of advertising frequency on consumer attitudes and have a beneficial and significant impact. These results indicate that consumer opinions towards Shopee will be more positive if advertisements are displayed more frequently and supported by appropriate promotions. This study serves as an academic reference and information source for businesses seeking to optimize social media-based digital marketing strategies.

This study investigates the role of Baitul Maal wa Tamwil (BMT) in empowering Micro, Small, and Medium Enterprises (MSMEs) through the integration of Maqashid Sharia principles and financial inclusion strategies. Despite the strategic importance of MSMEs in economic growth and poverty reduction, many face challenges in accessing formal financial services. BMT, with its dual function of social (maal) and commercial (tamwil) activities, offers a unique platform to bridge this gap. Using a qualitative systematic literature review guided by PRISMA, this study analyzes 30 relevant articles to examine BMT operational models, implementation of Maqashid Sharia objectives, financial inclusion practices, and their impact on MSME performance. Findings indicate that BMT effectively supports MSMEs in capital access, income generation, and business resilience, but inconsistencies in balancing social and commercial objectives limit. holistic empowerment. Integrating Maqashid Sharia principles enhances ethical and sustainable outcomes, while financial inclusion expands outreach to underserved entrepreneurs. Optimization strategies, including strengthening institutional capacity, combining financial and non-financial support, and context-specific interventions, are essential for maximizing BMT effectiveness. This study contributes a comprehensive framework linking ethical, financial, and empowerment dimensions, offering practical guidance for policymakers and BMT managers in promoting inclusive and sustainable MSME development.

This study aims to analyze the effect of the Open Unemployment Rate (OUR), Human Development Index (HDI), and zakat on poverty in Mandailing Natal Regency. The study employed a quantitative approach using the Vector Error Correction Model (VECM) based on quarterly secondary data from 2015 to 2025. The analytical procedures included stationarity testing, optimal lag selection, Johansen cointegration testing, VECM estimation, Granger causality testing, as well as Impulse Response Function (IRF) and Variance Decomposition (VD) analyses. The findings indicate that all variables were stationary at the second difference level, with an optimal lag length of four, and exhibited a long-run cointegration relationship. The VECM estimation reveals that, in the long run, the Open Unemployment Rate has a positive and significant effect on poverty, while zakat has a negative and significant effect in reducing poverty. In contrast, the Human Development Index does not significantly affect poverty, which may be explained by the presence of a development time lag and employment mismatch between workforce competencies and labor market demands. The Granger causality test indicates a one-way causal relationship from the Open Unemployment Rate to the Human Development Index. Furthermore, the Variance Decomposition analysis shows that poverty variation is predominantly explained by its own shocks (96.25%), reflecting the persistence of structural poverty. Therefore, policy synergy through employment expansion and the optimization of productive zakat programs based on business empowerment is recommended to accelerate poverty alleviation in Mandailing Natal Regency.

This study aims to analyze the role of talent management and employee experience in enhancing employee loyalty in the e-commerce industry through a non-empirical, conceptual approach. The study employs a qualitative design with a mixed-methods literature synthesis to construct a model of the relationship between talent management, work experience, and digital workforce loyalty. Data were obtained through a review of reputable international and national scientific literature addressing talent management, employee experience, employee engagement, retention, and employee loyalty in the digital and e-commerce sectors from 2020 to 2026. Analysis was conducted using thematic synthesis and comparative conceptual analysis, with the high turnover rate in the e-commerce industry serving as the primary interpretive context. The research findings indicate that employee loyalty is fostered through the integration of competency development, career development, rewards and recognition, employer branding, work flexibility, organizational communication, and psychological safety. Employee experience strengthens employee engagement and organizational commitment, while talent management enhances perceptions of organizational support and professional career sustainability. The study’s conceptual model demonstrates that the integration of these two variables contributes to workforce retention, organizational stability, productivity, and the enhancement of e-commerce companies’ competitiveness in a competitive digital business environment

Bankruptcy can no longer be understood solely as a mechanism for liquidating assets to meet debtor obligations, but has evolved into a restructuring instrument that directly impacts corporate governance and stakeholder protection. This study aims to analyze how bankruptcy functions as a corporate restructuring mechanism, how this process influences the redistribution of power in corporate governance, and the extent to which the bankruptcy legal system provides balanced protection for various stakeholders. The research method used is normative legal research with a statutory, conceptual, and limited comparative approach. The analysis is conducted on the provisions of Law Number 37 of 2004 concerning Bankruptcy and PKPU (Investment Suspension) and regulations related to corporate governance, combined with theoretical studies on fiduciary duty, stakeholder theory, and the corporate rescue paradigm. The results illustrate that bankruptcy functions as a governance restructuring mechanism that transfers control from the board of directors to the curator and creditor forum, thereby creating a redistribution of power within the company. The dominant creditor primacy orientation has the potential to create an imbalance in protection for non-creditor stakeholders, including workers and other economically impacted parties. These conditions indicate the need for normative reconstruction, including redefining fiduciary obligations during the insolvency phase, strengthening stakeholder protection, and harmonizing corporate governance principles with the insolvency law regime. This research is expected to contribute academically to the development of a bankruptcy model that is not solely focused on debt resolution but also considers aspects of business sustainability and substantive justice in modern corporate governance.

The improvement of village road infrastructure plays an important role in enhancing community mobility and supporting local socioeconomic development. This study aims to analyze changes in mobility conditions before and after road improvement, explore community perceptions and experiences, identify changes in activity and economic patterns, and examine factors that support or hinder mobility optimization in Trayeman Village, Slawi District, Tegal Regency. A mixed-method approach was employed involving 98 respondents selected from a population of 5,229 residents using the Slovin formula with a 10% margin of error, along with 15 key informants for qualitative data collection. Data were gathered through observations, in-depth interviews, documentation studies, and Likert-scale questionnaires. Quantitative data were analyzed descriptively, while qualitative data were examined using the Miles and Huberman interactive analysis model. The findings indicate that road improvement has significantly enhanced community mobility, with an overall mean score of 3.89, categorized as high. Access to services recorded the highest score (4.06), followed by economic mobility (4.00) and social mobility (3.99). Community perceptions were largely positive, viewing the improved road as a catalyst for development and improved accessibility. Road improvement also encouraged broader economic opportunities, lower transportation costs, business growth, and increased income. Supporting factors included private vehicle ownership and supportive village policies, whereas high fuel prices, limited transportation options, and uneven local road conditions remained major challenges. Further improvements in supporting infrastructure and transportation services are recommended to maximize mobility benefits.

Magelang City faces the challenge of limited land availability, with a total area of only 18.58 km2 and a high population density. Consequently, telecommunications infrastructure development requires a precise strategy. This study aims to analyze the business model and investment feasibility of Pole and Greenfield type telecommunication towers in Magelang City. Using a descriptive quantitative approach, this research processes secondary data from PT Dayamitra Telekomunikasi Indonesia by applying feasibility analysis based on Life Cycle Costing (LCC), Net Present Value (NPV), Internal Rate of Return (IRR), Break-Even Point (BEP), Payback Period (PP), and Benefit-Cost Ratio (BCR). The results indicate significant differences in cost structures; Pole towers proved to be more efficient, requiring an initial capital outlay of only 28.8% of the total capital required for Greenfield towers. Greenfield towers generated an NPV of Rp13.07 billion with an IRR of 20%, while Pole towers generated an NPV of Rp2.46 billion with a higher IRR of 23%. Pole towers have proven to offer a faster return on investment and better operational cost efficiency, making them the most strategic option to support network densification and the implementation of 5G technology in urban areas with spatial constraints like Magelang City.

This study aims to analyze the marketing strategies implemented by Mrs. Irsyat’s Poli Crackers MSME in Sukowono Village, assess their contribution to business competitiveness, and examine their role in supporting business sustainability. The study employed a qualitative approach with a case study method conducted in Sukowono Village, Sukowono District, Jember Regency. Research informants included the business owner, employees, consumers, and resellers selected through purposive sampling. Data were collected through in-depth interviews, observation, and documentation, then analyzed using the Miles and Huberman model consisting of data reduction, data presentation, and conclusion drawing. Data validity was ensured through source triangulation, technique triangulation, and member checking. The findings indicate that the MSME applies relatively simple marketing strategies adapted to local market conditions, including product quality improvement, competitive pricing, utilization of local distribution channels through small shops and resellers, and word-of-mouth promotion. These strategies have proven effective in increasing competitiveness, as reflected by higher sales, growing customer numbers, and the product’s distinctive taste advantage. Furthermore, the strategies contribute to business sustainability through sales stability, customer loyalty, and gradual business growth. Nevertheless, several challenges remain, including limited capital, labor shortages, and the underutilization of digital technology. Therefore, more innovative and technology-based marketing strategies are needed to support sustainable business development.

The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

Bullying is a serious problem that can disrupt the learning process and mental development of students, including in Islamic boarding schools. Early detection of bullying is essential to creating a safe and conducive learning environment. This study aims to apply the You Only Look Once (YOLO) algorithm to automatically detect bullying through video recordings in the environment of the SMK Skill Village Islamic School Business Boarding School. The method used involves collecting a video dataset representing various types of bullying behavior, labeling the data, and training an object detection model using the YOLOv5 algorithm. The developed system is capable of detecting and classifying bullying behavior in real- time with detection accuracy reaching [accuracy value if known]. The implementation of this system is expected to assist school authorities and boarding school administrators in monitoring, preventing, and addressing bullying incidents more quickly and effectively, while also serving as an initial step in leveraging artificial intelligence technology to create a safer and more comfortable educational environment.

Social media X (Twitter) has become the main platform for the Indonesian public to express opinions, including on the trend of 'kabur aja dulu' (let's just run away for a bit). This research aims to classify the sentiments of the public using the Naïve Bayes and Support Vector Machine (SVM) methods, and to compare the accuracy of both in sentiment analysis. Data was collected via the Twitter API with the hashtag #kaburajadulu, resulting in 2,067 tweets, which, after the cleansing process and manual labeling, left 385 data points. The analysis process followed the CRISP-DM stages, which include business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Model evaluation was conducted using a confusion matrix with accuracy, precision, and recall metrics. The classification results show that 82% of tweets have a positive sentiment and 18% negative. The Naïve Bayes algorithm achieved an accuracy of 86.49%, slightly lower than SVM, which reached 88.05%. In conclusion, Support Vector Machine is more effective in sentiment classification on public opinion data. This research contributes to the digital mapping of public opinion and recommends the development of automatic labeling methods as well as the exploration of advanced algorithms in the future.

The Baduy community in Kanekes Village has economic potential based on traditional crafts with high cultural value, such as weaving and woven fabrics. However, the management of craft businesses is still carried out in a simple manner without a structured human resource (HR) management system. Problems faced include the lack of a clear division of tasks, inefficient production processes, and limited marketing strategies. These conditions hamper the optimal development of craft businesses. This community service activity aims to strengthen human resource management based on local wisdom in order to increase the capacity of traditional craft businesses in the Baduy community. The solution offered is training and mentoring on simple business management adapted to traditional values. Activities include socializing the importance of HR management, training on the division of labor within groups, improving production skills, and developing marketing strategies that respect local wisdom. The implementation method uses a participatory approach through the stages of preparation, training, mentoring, evaluation, and program sustainability. The community is actively involved in every stage of the activity to ensure the program's suitability to local socio-cultural conditions. This activity results in increased human resource capacity in craft business management, the establishment of a more organized work system, and an increased economic value of craft products. In addition, this activity is expected to produce a community empowerment model based on local wisdom and scientific publications in community service journals.

The development of the digital economy has driven increased customer interaction through online chat services, making customer satisfaction a key factor in business success. Response speed and chat service quality are two important aspects in shaping the customer experience, but previous research has tended to examine them separately. This study aims to analyze the influence of online chat services and response speed on customer satisfaction partially and simultaneously. The method used is a qualitative approach with a literature review of 12 scientific articles from 2020–2025 obtained from academic databases such as Google Scholar and SINTA. The analysis technique used is descriptive-critical through the identification, comparison, and synthesis of previous research findings. The results show that online chat services have a positive effect on customer satisfaction, primarily through interaction quality such as information accuracy, ease of use, and problem-solving ability. Response speed has also proven to be an important determinant, where a fast response significantly increases customer satisfaction. However, speed without quality has the potential to decrease satisfaction. The discussion shows that the two variables have a complementary and inseparable relationship. Online chat services function as a medium for interaction, while response speed is a quality attribute that determines the effectiveness of the service. Therefore, the integration of both in one model is the main contribution of this research in filling the literature gap, especially in the context of e-commerce in Indonesia.

Manual management of customer receivables in manufacturing companies often leads to inefficiencies, including slow analysis processes, difficulty in monitoring outstanding balances, and limited ability to track payment trends comprehensively. This study designed a Business Intelligence Dashboard using Microsoft Power BI to address these issues at PT. XX Industry, employing a Software Development Life Cycle (SDLC) approach consisting of four stages: Planning, Analysis, Design, and Implementation. During the design phase, a data warehouse was built using a star schema model in SQL Server Management Studio, followed by an Extract, Transform, Load (ETL) process to ensure data accuracy and consistency prior to integration into Power BI. Five Key Performance Indicators (KPIs) were established collaboratively with company management through a series of online discussions, comprising Total Invoice, Total Payment, Total Receivables, Payment Rate, and Average Payment Time, all implemented using DAX expressions. The resulting dashboard features monthly trend visualizations, customer-based receivables distribution, and interactive filter capabilities. System testing confirmed that all components functioned correctly, while ETL validation verified consistency between processed and source data. User Acceptance Testing (UAT) conducted by management yielded an average score of 4.7 out of 5, reflecting a very high level of user acceptance. Overall, this dashboard proved effective in improving receivables monitoring efficiency and supporting faster, data-driven decision-making.