Publication Search

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.

This study addresses the troubling increase in illegally managed micro, small, and medium enterprises (UMKM) operated by foreign nationals in Bali, which poses significant threats to local economic stability and fairness. The analysis focuses on the legal frameworks governing UMKM, including Law No. 20 of 2008 and the Online Single Submission (OSS) system, as well as the regulatory gaps that allow foreign entities to exploit these mechanisms for their gain. A multi-method approach was employed to evaluate the current situation, emphasizing the roles of local government initiatives, banking regulations, and community engagement in combating illegal business operations. The findings reveal a pressing need for enhanced verification processes, stricter compliance measures, and localized regulations to protect legitimate businesses from exploitation by foreign competitors. The study concludes that only through coordinated efforts among government bodies, financial institutions, and local enterprises can Bali achieve sustainable economic growth, ensuring that UMKM can thrive within a fair and equitable commercial landscape.

Social media has evolved into a significant platform where consumers freely express their opinions, experiences, and levels of satisfaction regarding various products, including those offered by Micro, Small, and Medium Enterprises (MSMEs). The comments and reviews shared by customers on these platforms contain diverse sentiments that can serve as valuable indicators of how consumers perceive product quality. Understanding these sentiments is crucial for MSME owners, as it allows them to evaluate their products and adapt to market expectations more effectively. This study aims to analyze customer sentiment toward MSME products on social media by utilizing the Naïve Bayes algorithm, a widely used classification method in text mining. The data used in this research consist of customer comments collected from various social media platforms. The research process involves several stages, including data collection, manual labeling of sentiments, text preprocessing (such as tokenization, case folding, and stopword removal), and splitting the dataset into training and testing subsets. Subsequently, the classification process is carried out using the Naïve Bayes algorithm to categorize sentiments into positive, negative, and neutral classes. The results of this study demonstrate that the Naïve Bayes method is effective in classifying customer sentiments with a satisfactory level of accuracy. These findings provide a comprehensive overview of consumer perceptions regarding the quality of MSME products. Furthermore, this research is expected to assist MSME business owners in understanding customer feedback more systematically and using it as a basis for improving product quality and enhancing customer satisfaction in a competitive digital marketplace.

The development of Artificial Intelligence (AI) has transformed how business organizations manage operations, process information, and make strategic decisions, thereby creating a need for leadership patterns that are more adaptive, visionary, and responsive to digital transformation. This study aims to explain the concept of AI Leadership in the business context, identify why modern leadership must adapt to the advancement of AI, and analyze the leadership strategies that are relevant for navigating the era of AI-driven business. The study employs a Systematic Literature Review (SLR) approach with a narrative-thematic synthesis of relevant open-access scholarly literature on AI Leadership, digital leadership, human–AI collaboration, business transformation, and AI ethics. The findings show that AI Leadership represents a modern form of leadership that emphasizes not only technological understanding but also the ability of leaders to direct organizational change, foster data-driven decision making, manage collaboration between humans and technology, and implement responsible AI governance. The study also finds that the main strategies required by leaders in the AI era include strengthening digital literacy, developing adaptive managerial capabilities, enhancing human–AI collaboration, and integrating ethical principles into technology implementation. This article contributes conceptually by reinforcing AI Leadership as a leadership framework that is highly relevant to modern organizations and offers practical implications for the development of business leadership in the era of digital transformation.

The development of Indonesia’s traditional cuisine faces significant hurdles as shifting consumer preferences increasingly favor modern food options. This trend necessitates innovative approaches to ensure local culinary heritage remains competitive. This study examines the role of sociopreneurship as an innovation strategy at Ingkung Djawa Waroeng Ndesso. Utilizing a descriptive qualitative design, the research gathered insights from the business owner and employees selected via purposive sampling. Data collection involved interviews, observations, and documentation, with validity ensured through source triangulation. The analysis followed the Miles and Huberman model, encompassing data reduction, presentation, and conclusion drawing. Findings reveal that implementing sociopreneurship effectively integrates economic and social objectives by preserving authentic recipes, empowering local communities, and generating employment. Key innovations include diversifying product offerings while maintaining authenticity and leveraging social media for strategic marketing. These results demonstrate that social entrepreneurship serves as a powerful mechanism for enhancing business competitiveness while safeguarding cultural sustainability. The study implies that traditional culinary development can be successfully managed through a sociopreneurial framework, allowing for modern innovation without compromising core cultural values. Consequently, this model offers a sustainable pathway for traditional businesses to thrive amidst the challenges of contemporary market globalization.

The coffee shop industry in Indonesia is experiencing rapid growth that requires business owners to optimize data-driven strategies. This study aims to analyze customer preferences at Semanis Coffee and Resto using data mining methods  to support more effective business decision-making. The method used is Market Basket Analysis with the FP-Growth algorithm for association rule mining and the K-Means algorithm for customer segmentation. The research data consists of 672 sales transactions during the March-May 2025 period. The results of the association analysis with a minimum support of 0.004 and a minimum confidence of 0.2 resulted in five valid rules with a lift ratio above 1. The strongest rule is the combination of Americano→Milk Choco with a confidence of 42.9% and an elevator ratio of 5.229, indicating a strong linkage between products. The most popular products are Milk Choco (10.8%) and Americano (8.5%). Customer segmentation analysis identified three clusters: Cluster 0 (Loyal Customers) 80% with high frequency but low transaction value; Cluster 1 (Occasional Customers) 10% with low activity; and Cluster 2 (Large Buyers) 10% with high transaction value but low frequency. This study concludes that product bundling strategies, loyalty programs, reactivation campaigns, and premium services can be applied to increase the effectiveness of coffee shop businesses.

Analysis of the business situation experienced by PT Spectrum Lintas Service indicates that the achievement of success in obtaining large-scale project contracts is greatly influenced by the technical image and confidence given by clients. This study aims to investigate the impact of Improving Technical Qualifications, Customer Relationship Management, and Procedural Governance Quality on the Achievement of Competitive Advantage at PT Spectrum Lintas Service. The study population consisted of a total of 141 customers. The data analysis approach used was the SPSS tool to test the research hypothesis through t-test and F-test. The results of the F-test showed a significance probability value of 0.000 smaller than 0.05. Based on the findings, it can be concluded that improving technical qualifications, customer relationship management, and procedural governance quality significantly contribute to the competitive advantage of PT. Spectrum Lintas Service. Improving technical qualifications has a negative but not substantial impact on competitive advantage, with a significance value of 0.110 greater than 0.05. Customer relationship management has an impact on competitive advantage with a significance value of 0.00, which is smaller than 0.05. The quality of the procedural system has a significant influence on competitive advantage.

Trade secrets are a type of Intellectual Property Right that plays a crucial role in providing legal protection for business information with economic value and kept confidential by its owner. In the food industry, recipes not only serve as production guidelines but also serve as a business's identity and competitive advantage. Legal issues can arise if the recipe is used or owned by others without permission, especially when conflicts arise within the business or during competition. This situation can trigger trade secret disputes that can be detrimental to business owners, both financially and sustainably. This article discusses the position of fried chicken recipes as trade secrets in culinary business practices in Indonesia and the forms of legal protection available to rights holders. The discussion was conducted based on the provisions of Law Number 30 of 2000 concerning Trade Secrets, using a normative approach. The analysis shows that a fried chicken recipe falls into the trade secret category if it meets the requirements of being unknown to the public, having economic value, and being strictly maintained by the business owner. Therefore, legal protection for trade secrets is crucial to prevent unfair business competition and provide legal certainty and protection for culinary businesses in Indonesia  

This research investigates how profitability, leverage, activity levels, and company scale impact financial distress in property and real estate firms traded on the Indonesia Stock Exchange. The selection of this sector stems from its high exposure to economic ups and downs, leaving its businesses particularly prone to financial troubles. Independent factors in the analysis include profitability, leverage, activity, and firm size, with financial distress serving as the outcome variable. Samples were drawn via purposive sampling from property and real estate entities listed on the Indonesia Stock Exchange over the 2022–2024 timeframe. Adopting a quantitative design, the study applies multiple linear regression as its core analytical tool. STATA version 17 handled the data analysis. Results show that, taken together, the independent variables exert a significant impact on financial distress. Ultimately, firms should optimize their financial metrics and pursue business growth to mitigate financial distress risks.

This study aims to analyze the role of brand equity in enhancing the competitiveness of batik sandal products at “Dinara Wooden Heel.” The research adopts a qualitative approach using a case study method to gain an in-depth understanding of how the elements of brand equity namely brand awareness, perceived quality, brand association, and brand loyalty are developed and utilized by the business actors. Data were collected through in-depth interviews with the business owner and consumers, direct observation, and documentation. The data analysis technique was conducted descriptively through the stages of data reduction, data display, and conclusion drawing. The findings indicate that brand equity plays a significant role in improving the competitiveness of Dinara Wooden Heel. The dimensions of perceived quality and brand association serve as the primary strengths in creating competitive advantage through consistent product quality and culture-based differentiation. Meanwhile, brand awareness declined due to distribution limitations during the pandemic, but has gradually recovered through the utilization of social media. On the other hand, brand loyalty has been established through repeat purchases, although its management remains relatively informal. Overall, the four dimensions of brand equity are integrated in enhancing competitiveness through brand visibility, product differentiation, consumer trust, and customer loyalty.

Micro, small, and medium enterprises (MSMEs) constitute a pivotal pillar of local economic resilience in Bandar Lampung, particularly in the fashion, salon and beauty, and professional service sectors. Notwithstanding their considerable growth potential, many MSMEs continue to encounter structural constraints that impede business expansion, most notably limited entrepreneurial capability, restricted access to capital, and the suboptimal utilization of digital marketing. Against this backdrop, the present study aims to examine the partial and simultaneous effects of entrepreneurship training, capital access, and digital marketing strategy on MSME business expansion. This research employed a quantitative explanatory design with a cross-sectional approach. Data were collected from 100 MSME owners selected through purposive sampling from a population of 2,785 enterprises, and were analyzed using multiple linear regression with SPSS. The findings reveal that entrepreneurship training does not exert a statistically significant effect on business expansion (B = 0.000; p = 0.998), indicating that training, in isolation, has not yet been effectively translated into concrete growth-oriented business practices. By contrast, access to capital has a positive and significant effect (B = 0.263; p = 0.001), demonstrating that financial accessibility enhances operational scale and market development. More importantly, digital marketing strategy emerges as the most influential determinant of business expansion (B = 0.593; p < 0.001), confirming that digital platform utilization substantially strengthens market reach, customer engagement, and business competitiveness. Simultaneously, the three variables significantly affect MSME expansion (F = 34.061; p < 0.001), with an explanatory power of 51.6%. It can therefore be concluded that MSME expansion is primarily driven by the synergy of financial accessibility and digital market adaptation, while entrepreneurship training becomes meaningful only when effectively operationalized within business practice.

This community service activity aims to improve students' understanding of entrepreneurship through the Socialization of Basic Entrepreneurship for Individual Businesses at SMKN 1 Banyudono, Boyolali Regency. Entrepreneurship education plays a crucial role in preparing vocational school students to enter the workforce and become independent entrepreneurs. However, students' understanding remains limited, both conceptually and practically, particularly regarding individual businesses. This activity was designed using a community organizing approach by actively involving students in all stages of the activity. The implementation method included entrepreneurship socialization, interactive discussions, case studies, simple business simulations, and short interviews. A mixed-method approach was used, namely qualitative through observation and discussion, and quantitative through pre-test and post-test evaluation. The results of the activity showed a significant increase in student understanding, marked by an increase in the average score from the pre-test to the post-test. In addition, there was a positive change in attitude in the form of increased participation, self-confidence, and student awareness of the potential of individual businesses as a realistic business option.

Phishing is a form of cybercrime that has experienced a significant increase in frequency within Indonesia. This fraudulent practice aims to deceive victims into surrendering personal data or sensitive financial information by impersonating trusted institutions. Such crimes result in substantial losses for both individuals and the business sector, particularly concerning personal data protection and digital transaction security. This research aims to analyze the legal regulations and the role of supervisory institutions in addressing phishing threats in Indonesia using a normative legal research method. The legal analysis encompasses the implementation of the Electronic Information and Transactions Law (UU ITE), specifically Article 28, paragraph (1), and the Personal Data Protection Law (UU No. 27 of 2022), which serves as the primary foundation for privacy rights. Furthermore, this study examines the Consumer Protection Law and the Indonesian Criminal Code (KUHP) as enforcement instruments. The strategic roles of the Financial Services Authority (OJK) and Bank Indonesia (BI) are also discussed in the context of risk mitigation within the financial sector. The findings indicate that law enforcement effectiveness is still hindered by low digital literacy, limited forensic technology infrastructure, and jurisdictional challenges in tracking cross-border perpetrators. Consequently, a synergy between regulatory strengthening, international collaboration, and massive public education is required to comprehensively suppress these cybercriminal activities.

The flash flood disaster that hit Indonesia, including the devastating disaster in three Sumatran provinces in November-December 2025 which resulted in more than 900 casualties and trillions of rupiah in losses, shows a strong correlation between environmental damage caused by corporate activities and increased disaster risk. The purpose of this study is to analyze corporate criminal liability for environmental damage resulting in flash flood disasters based on the Environmental Management Law (UU PPLH), examine the mechanism for proving corporate criminal liability, and evaluate the application of criminal sanctions against corporations that commit environmental damage resulting in flash flood disasters. The research method used is normative legal research with a descriptive analytical statute approach. Data collection techniques are carried out through library research and interviews with sources at the North Sumatra Provincial Environmental Service. The data obtained were analyzed qualitatively. The results of the study indicate that: First, corporate criminal liability for environmental damage resulting in flash floods has been comprehensively regulated in Articles 116 to 120 of the Environmental Management and Management Law, which recognizes corporations as subjects of criminal law and regulates the criteria for corporate crimes (committed by, for, or on behalf of a business entity), the responsible party (the business entity and/or the person giving the order/leader of the activity), a one-third aggravation of the sentence, and corporate representation in court, as reinforced by Supreme Court Regulation Number 13 of 2016. The conclusion of this study is that the Environmental Management and Management Law has provided a comprehensive legal framework for corporate criminal liability for environmental damage resulting in flash floods. However, the effectiveness of law enforcement still needs to be improved through accelerating the judicial process, strengthening the capacity of law enforcement, improving inter-agency coordination, and strengthening the decision execution mechanism.

Oil palm plantations are often confronted with the problem of uncontrolled land expansion and suboptimal management, which potentially threaten the sustainability of the business from environmental, social, and economic perspectives for surrounding communities. This condition calls for a comprehensive evaluation of management practices implemented by independent smallholders. This study aims to determine the sustainability status of smallholder oil palm plantations in Parindu Subdistrict, Sanggau Regency, assessed from five main dimensions: ecological, economic, social, institutional, and technological. In addition, the study analyzes attributes that have sensitivity levels affecting the future sustainability of oil palm farming as a basis for formulating improvement strategies. A total of 36 respondents were selected using purposive sampling techniques and in-depth interviews. The research method employed was quantitative descriptive using the Rap-Palmoil approach and qualitative descriptive supported by kite diagrams to clarify the analysis results. The findings indicate that the management status of oil palm plantations falls into the moderately sustainable category, with MDS values of 53.61 for Embala Village and 55.75 for Maju Karya Village. The dimensions that require priority improvement in both villages are the ecological and technological dimensions.

Economic development in rural areas, specifically, aims to improve community welfare. However, in practice, many challenges remain, such as limited technical skills, minimal innovation, and low community capacity to create and develop productive businesses. One way to address these challenges is through human resource empowerment. Gunung Tinggi Village has the potential to develop creative businesses, particularly among housewives, such as dishwashing soap. This product is a household necessity that is used routinely, so demand tends to be sustainable. Therefore, a SWOT analysis was used to provide sustainability recommendations for this business. The methods used included service learning (SL) with a Participatory Action Research (PAR) approach to ensure active participant involvement and the program's alignment with the community's real needs. The results showed that the initial impact of this Community Service Program (PKM) activity was evident in the production of marketable products and the opening of new business opportunities, which directly contributed to the diversification of income sources and increased family economic independence. Furthermore, the application of SWOT analysis proved effective as a tool in formulating sustainability strategies for the micro-enterprises being developed.

Information systems are an important element in the business world that helps businesses increase work efficiency and reduce human error. In practice, many businesses still produce financial reports manually. Manual preparation of financial reports is inefficient and tends to have a higher potential for delays, lateness, or errors in data entry. This makes the financial reports presented inaccurate and unreliable as a basis for making decisions. To address this problem, a community service program was implemented by designing an accounting system using Microsoft Access, which provides various features that can help users in data processing. The method carried out starts with observation, system design, and evaluation by the partner. The result of implementing this program is that the system designed in Microsoft Access successfully accelerated the work process for partners, making the preparation of financial reports more efficient and timely. The financial reports presented also became more accurate and reliable.      

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in supporting the Indonesian economy, especially in rural areas where they contribute significantly to employment and local income. Sait Buttu Saribu Village in Simalungun Regency possesses considerable potential in the agricultural, tourism, and culinary sectors, which can be developed through strong MSME activities. Nevertheless, many local MSMEs continue to experience challenges related to limited promotion, weak branding, and restricted market access. This study aims to analyze visit-based and promotional strategies for MSMEs as an effort to strengthen the village economy and enhance business competitiveness. The research methods consist of a literature review of relevant previous studies and field observations conducted through community service activities in the village. The findings indicate that industrial visits, digital promotion via social media platforms, the utilization of Google Maps for location visibility, and branding that highlights local wisdom are effective strategies for expanding market reach and increasing MSME competitiveness. Through strong synergy among the village government, MSME actors, and the local community, MSMEs in Sait Buttu Saribu Village can grow more optimally and contribute to sustainable economic development and tourism.

This study aims to formulate a Blue Ocean Strategy to enhance business competitiveness through a SWOT analysis approach. The research was conducted using a descriptive qualitative method. Primary data were obtained through interviews with competent parties to identify the internal and external factors of the business, while questionnaires were used as supporting data to capture respondents’ perceptions of the identified factors. The interview results served as the basis for developing the IFAS and EFAS matrices to determine the business position within the SWOT matrix. Furthermore, the SWOT analysis results were used to formulate alternative strategies aimed at creating new value in line with the Blue Ocean Strategy concept. The questionnaire results indicate that respondents’ perceptions tend to support the internal and external factors identified through interviews, thereby strengthening the analytical findings. Based on the results, it can be concluded that formulating a Blue Ocean Strategy through SWOT analysis provides a more innovative and competitive strategic direction. The resulting strategies are expected to help businesses create sustainable competitive advantages and avoid direct competition in saturated markets.

Digital transformation requires organizations to adapt by leveraging technology and reshaping their ways of working . In this context , digital leadership plays a crucial role in enhancing business performance . This study aims to examine the role of digital leadership on business performance through digital culture and process innovation in the era of digital transformation . This research employs a quantitative approach using a survey method involving respondents from organizations that are undergoing or have implemented digital transformation initiatives . Data were analyzed using path analysis or Structural Equation Modeling (SEM) to test both direct and indirect relationships among variables . The results indicate that digital leadership has been positive and significant effect on business performance . Furthermore , digital culture and process innovation is proven to act as mediator variables that strengthen the influence of digital leadership on business performance . These findings highlights that leaders who are able to foster digital adoption , encourage collaboration , and continuously innovate business processes can create sustainable competitive advantages for organizations . This study contributes theoretically to the development of digital leadership literature and provides practical implications for organizational leaders in designing effective digital transformation strategies aimed at improving business performance .