Publication Search

Regional economic development requires a comprehensive understanding of the structure, potential, and dynamics of economic sectors so that formulated policies can be targeted and sustainable. Bojonegoro Regency as one of the regions in East Java Province has unique economic characteristics with the dominance of certain sectors, so it is necessary to conduct an in-depth analysis of the economic sectors that play a role in driving regional growth. This study aims to identify basic and non-basic sectors, analyze the dynamics of changes in economic sectors, and assess the sectoral competitiveness of Bojonegoro Regency compared to East Java Province. This study uses a quantitative approach with secondary data in the form of Gross Regional Domestic Product at constant prices by business field obtained from the Central Statistics Agency. The analytical methods used include Location Quotient, Dynamic Location Quotient, and Shift Share. The results show that the mining and quarrying sector remains the sector with the most dominant relative advantage in the economic structure of Bojonegoro Regency. However, the analysis of dynamics and competitiveness indicates that several non-extractive sectors are starting to show faster development and growth potential. This finding suggests an opportunity for transformation of the regional economic structure towards a more diverse pattern. The implications of this research emphasize the importance of regional economic development strategies that do not only rely on traditional leading sectors, but also encourage the development of more sustainable potential sectors.

The purpose of this study is to examine the influence of income and employment opportunities on women's decision to become migrant workers, as well as the impact on the level of family welfare of women migrant workers. The approach used is a quantitative method by utilizing primary data collected through the distribution of questionnaires to female respondents who have worked or are currently working as migrant workers in Kecamatan Utan, Kabupaten Sumbawa Besar. Data analysis was conducted using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method with the help of SmartPLS software. The research variables were measured using a number of indicators formulated based on the theoretical basis and the results of previous studies. The findings show that income has a positive and significant influence on women's decision to work as migrant workers, with a coefficient of 1.940 and a p-value of 0.000. In contrast, employment opportunities have a negative and significant effect on the decision, with a coefficient of -1.147 and a p-value of 0.000. Furthermore, women's decision to become migrant workers has a positive and significant effect on family welfare, as shown by a coefficient of 0.594 and a p-value of 0.001. However, income does not have a significant direct effect on family welfare, with a p-value of 0.151. Meanwhile, employment opportunities have a positive and significant influence on family welfare, with a coefficient of 0.691 and a p-value of 0.030. These results indicate that women's decision to become migrant workers functions as a mediating variable in efforts to improve family welfare.

This study was conducted to analyze the causes of occupational accidents and to identify potential hazards in the material cutting process at PT Kanaan Global Indonesia using the Job Safety Analysis (JSA) approach. The high number of occupational accidents, totaling 15 cases during the period of December 2024–May 2025, indicates the existence of gaps in occupational safety control in this area. Data were collected through direct observation, interviews with workers, and the collection of historical data from the Occupational Health and Safety (OHS) unit. Risk analysis was carried out using a risk matrix to determine likelihood and severity values, followed by JSA for each work stage. The results identified 25 potential hazards, consisting of 4 risks in the extreme category, 9 in the high category, 7 in the medium category, and 5 in the low category. High-risk hazards were predominantly found in roll cutting and cutting press machines, which are characterized by mechanical hazards. Control recommendations focus on the implementation of engineering controls such as the installation of guarding systems and safety light curtains, improvements in safe work procedures, and increased discipline in the use of personal protective equipment (PPE). These findings demonstrate that the JSA method provides a comprehensive overview of risk sources and serves as an effective basis for formulating occupational accident control strategies within the company.

Education is a conscious effort to create effective learning conditions to develop self-potential, intelligence, and noble character. A clean campus environment is one of the crucial external factors that support the smoothness of the teaching and learning process and the comfort of the entire academic community. This study aims to analyze and determine the extent of the influence of campus environmental cleanliness on student learning activities at the Faculty of Economics, Universitas Nasional Pasim.The research method used is quantitative with a descriptive verificative approach. The research population includes 123 first semester students of the Faculty of Economics, with a sample of 94 respondents determined through the Slovin formula at a 5% error rate. Data were collected through closed questionnaires and analyzed using validity, reliability, and simple linear regression tests through SPSS software. The results showed that the instrument variables for environmental conditions and learning activities were declared reliable with a Cronbach's Alpha value above 0.60. The regression test results obtained a coefficient of determination (R2) of 0.414, which indicates that campus environmental cleanliness has a 41.4% influence on student learning activities, while the remaining 58.6% is influenced by other factors. The ANOVA test produced a significance value of 0.000 with an Fcount value of 57.143, which is greater than the Ftable of 3.94, thus the research hypothesis is accepted. In conclusion, campus environmental cleanliness has a significant influence in creating a conducive learning atmosphere, increasing student focus, and intrinsic motivation. The university is advised to prioritize cleanliness management to realize a productive academic environment.   

Rapid developments related to technology are spreading rapidly in human life. The rapid development of this technology definitely brings positive and negative currents in its application. The higher the development, the greater the opportunity for negative impacts for irresponsible people. The utilization of technological developments in the financial sector is considered to greatly facilitate a person in carrying out economic activities. Armed with just one application, someone can make banking transfers, investments and their utilization in other economic activities. However, along with the ease and effectiveness of digital finance, there are also digital crimes that can harm many people in the banking world such as physing, malware, ransomware and so on. This type of research is a normative juridical research that focuses on laws and regulations to provide legal reformulation related to digital financial security finance to strengthen the defense of financial system protection in the digital sector which is very much needed in this increasingly sophisticated modern era.

Honor killing cases often involve a distributed structure of perpetrators between decision-makers, providers of means, and implementers. This collective pattern raises the problem of role attribution in criminal law enforcement, which often shifts toward two problematic tendencies: centralizing responsibility on the executor or expanding criminal responsibility based on family ties. This article aims to formulate a tested role attribution model so that criminal responsibility does not stop at the direct perpetrator and does not develop into association-based punishment. This research uses a normative legal research method with a conceptual approach. Data collection methods were collected using literature studies, then analyzed qualitatively and presented descriptively. The research results formulate a role map of instigator, facilitator, and executor, operationalized through group role attribution based on two axes: causal contribution and normative contribution. The instigator is understood as the driver who shapes the will and locks the decision, the facilitator is understood as an assistant who deliberately provides the opportunity, means, or information. Meanwhile, the executor is someone who carries out the material act, although in terms of position, their actions are not automatically identical to the dominance of the decision. This division of roles is complemented by evidentiary indicators covering communication, financing, provision of facilities, field control, and post-incident intimidation, along with negative criteria to prevent inferences based on blood relations or passive presence. This model provides a more measurable standard of attribution for investigation, prosecution, and sentencing in collective honor killing cases.

This study aims to examine the legal certainty of ownership of works produced by artificial intelligence (AI), specifically ChatGPT, from the perspective of Law Number 28 of 2014 concerning Copyright. The main focus of this research is to answer the question of whether works produced by AI can be copyrighted and to identify the legal challenges arising from the absence of explicit regulations in the Indonesian positive legal system. This study uses a normative juridical method with a statute approach and analysis of primary and supplementary legal materials. The study's findings indicate that, to date, there are no national regulations explicitly governing copyright recognition for works produced autonomously by AI systems. Based on the provisions of Article 1 number 3 of Law Number 28 of 2014, works must arise from human intellectual ability, therefore, AI products do not qualify as works potentially entitled to copyright protection. Therefore, legal reformulation through regulatory updates is needed to provide legal certainty and address challenges in the digital era, as well as prevent potential disputes in the national creative industry.

The rapid development of artificial intelligence technology, particularly deepfake, poses significant challenges to legal protection due to its potential misuse for identity manipulation, defamation, and other cybercrimes. This phenomenon highlights a gap between technological advancement and the readiness of legal regulations in Indonesia. This study aims to analyze forms of deepfake misuse and to assess the effectiveness of existing legal frameworks in providing legal protection and certainty. The research employs a normative legal method using statutory and conceptual approaches by examining legislation, legal doctrines, and relevant scholarly literature. The findings indicate that Indonesian positive law does not yet specifically regulate deepfake technology, resulting in law enforcement relying on general provisions of criminal law and the Electronic Information and Transactions Law. The implications of this study emphasize the urgency of regulatory reform and the formulation of adaptive legal policies to address digital technological developments in order to ensure legal protection and justice for society.

The Outpatient Unit is an important service unit that contributes to the hospital's revenue. However, at Adam Talib Cikunir Hospital, the number of patient visits has not yet reached the target, thus it is necessary to formulate a strategy to enhance competitiveness. This research aims to develop a strategic plan for the Outpatient Unit to improve service quality and increase its contribution to the hospital's revenue. The research uses a qualitative descriptive approach. Analysis is conducted through Internal Factor Evaluation (IFE), External Factor Evaluation (EFE), SWOT analysis, and Quantitative Strategic Planning Matrix (QSPM). The IFE score of 2.44 and the EFE score of 2.41 place RS DAT Cikunir in Quadrant V of the IE Matrix, which means RS DAT Cikunir is in a Hold and Maintain position. The SWOT analysis generates several alternative strategies, and the QSPM prioritizes three strategies: enhancing specialized services (score 5,84), expanding services and digital promotion (score 5,66), and optimizing cooperation with BPJS and private insurance (score 5,38). The research concludes that improving specialized services, expanding services and digital promotions, as well as optimizing cooperation between BPJS and private insurance are the right strategies to enhance service quality, attract more patients, and strengthen the competitiveness of RS Dokter Adam Talib Cikunir amid competition in the healthcare sector.  

The rapid advancement of Artificial Intelligence (AI) has significantly disrupted the global labor sector, including in Indonesia. The urgency of this study lies in the growing inequality in access to digital skills and the lack of legal protection for workers in the digital era. This research aims to analyze the impact of AI on employment in Indonesia and to assess the adequacy of labor regulations in addressing digital transformation. This study employs a normative legal method with a juridical-empirical approach, utilizing literature review, secondary data, and qualitative analysis of labor policies and relevant regulations. The findings reveal that while AI has the potential to create new types of employment, it also threatens conventional jobs, especially in labor-intensive sectors. Moreover, Indonesia's labor regulations have not yet adapted to new, flexible, and platform-based work models, resulting in legal uncertainty for informal and freelance workers. This study contributes to the discourse on the need for labor law reform that is inclusive and adaptive to technological developments. In conclusion, there is a pressing need for responsive labor regulation reform, increased digital literacy, and continuous reskilling systems to ensure that AI-driven transformation does not create new inequalities in the labor market. Future research is recommended to focus on formulating new legal protection models for digital workers in the AI era.

Football in Indonesia is not merely a sport but a social phenomenon that triggers massive public emotional engagement. Every result of the Indonesian National Team, particularly in prestigious events such as the FIFA World Cup Qualifiers, often generates waves of opinion in digital spaces filled with criticism, support, and disappointment. The failure of the Indonesian National Team in the 2026 FIFA World Cup Qualifiers has become an important momentum to systematically understand public perception. The purpose of this study is to identify the distribution of public sentiment and to reveal the main issues most frequently discussed through keyword visualization, thereby providing an overview of societal reactions. This research utilizes 971 comments from the TikTok platform as the primary dataset, collected through a crawling process and processed using text mining stages before being classified with a sentiment analysis method. The findings indicate a sentiment distribution dominated by Neutral at 63.67%, Negative at 32.36%, and Positive at 3.97%. The word cloud visualization highlights dominant keywords such as “Pecat” (Dismiss), “Evaluasi” (Evaluation), and “PSSI” (Indonesian Football Association), reflecting public criticism of managerial aspects, although positive words such as “Semangat” (Spirit) and “Dukung” (Support) also appear, emphasizing supporter loyalty. These results contribute to an empirical understanding of the issues most highlighted by the public and the distribution of collective emotions, which can serve as a basis for PSSI and stakeholders in formulating communication strategies, policy evaluations, and improvements to the national football management system.

The application of Large Language Models (LLM) in public services encourages government agencies to adopt Retrieval Augmented Generation (RAG)-based chatbots as interfaces for regulatory knowledge and official documents. Although RAG is designed to increase the supportability of answers to authoritative sources, various studies show that this system is still vulnerable to hallucinations, which have the potential to reduce public trust and pose legal risks. This article presents a Systematic Literature Review (SLR) on the use of RAG in government chatbots with a focus on the definition, mitigation strategies, and evaluation of groundedness. The literature search was conducted in the period 2021–2025 through the SpringerLink, Scopus, and Taylor & Francis databases, resulting in 7,947 articles filtered using the PRISMA framework to obtain 100 articles Q1–Q2. Based on eight research questions, this study maps publication trends, document domains, RAG architecture, retrieval strategies, definitions of groundedness, and evaluation metrics used. The SLR results indicate conceptual fragmentation in the definition and measurement of groundedness, with the dominance of text-similarity-based metrics that are inadequate for regulatory contexts. As a conceptual contribution, this article formulates the Semantic Alignment Score (SAS) as a groundedness metric based on semantic alignment, evidence coverage, and entailment relationships, positioned to support the evaluation and auditing of government document chatbots.

Floods and landslides in Hutanabolon Village, Tukka District, Central Tapanuli Regency have disrupted access to food and health services, particularly for vulnerable groups such as children. Public kitchens, as the frontline of emergency nutrition response, face challenges in providing food that meets the specific nutritional needs of children. This study aims to evaluate the effectiveness of public kitchens at Disaster Emergency Response Posts (TDB) in meeting the nutritional needs of post-disaster children, identify supporting and inhibiting factors, and formulate recommendations for improving the public kitchen management system. The research employed a descriptive evaluative approach using survey methods, structured interviews, direct observation, 24-hour dietary recall, and anthropometric measurements (weight and height). The study subjects included 15 children aged 1–12 years and 8 public kitchen managers selected purposively. Data were analyzed descriptively by comparing nutritional intake against the Recommended Dietary Allowance (RDA) standards and analyzing kitchen management practices based on emergency nutrition guidelines. The findings revealed that children's average energy intake was only 1,140 kcal/day (below the minimum standard of 1,200–2,000 kcal/day) and protein intake was 18.7 g/day (below the standard of 20–35 g/day). A total of 33.3% of children were classified as having malnutrition to severe malnutrition based on weight-for-age indicators. Public kitchen management showed weaknesses in menu planning (100% had no child-specific menu), managers' nutritional knowledge (62.5% categorized as low), food availability (75% relied on instant aid without variation), and limited cross-sectoral coordination (50%). The effectiveness of public kitchens in meeting children's nutritional needs after disasters remains low.

The global reliance on wheat flour has prompted the food industry to seek sustainable local substitutes. Sweet potato (Ipomoea batatas L.) emerges as a potential candidate due to its substantial starch content and beneficial bioactive compounds. This study explores innovations in sweet potato flour processing, emphasizing physical, chemical, and enzymatic modifications to enhance its functional properties. The research methods include hydrothermal treatments and fermentation (Modified Sweet Potato Flour/MOSPEF) and their impact on dough rheology and glycemic response. The findings indicate that modified sweet potato flour can effectively replace wheat flour by 30-50% in bakery items and up to 100% in gluten-free formulations without significantly altering sensory traits. This innovation represents a strategic step toward national food sovereignty and improved nutritional quality in the modern food industry, healthier and more nutritious. The use of modified sweet potato flour is expected to strengthen food security and provide economic benefits for local farmers and the domestic food industry.

This study aims to analyze production cost efficiency through the use of self-formulated feed based on rice bran in laying hen farming in Kutamandiri Village. Feed costs represent the largest component of production expenses in laying hen enterprises, reaching up to 60–70% of total operational costs. The research employed a descriptive quantitative approach using primary data collected through observation, interviews, and cost-revenue recording during one production period. Data were analyzed using cost structure analysis and Revenue-Cost (R/C) ratio to determine business feasibility. The results indicate that the use of rice bran-based self-formulated feed reduced feed costs and lowered total production expenses. The calculated R/C ratio was 1.43, indicating that the enterprise is financially feasible and profitable. Additionally, the findings suggest that utilizing locally available feed resources such as rice bran can improve cost efficiency, reduce reliance on external feed supplies, and enhance the sustainability of small-scale laying hen enterprises. This research provides valuable insights for farmers in Kutamandiri Village and other similar agricultural communities looking to optimize production costs and improve their profitability by adopting cost-effective, locally sourced feed options.

The rapid advancement of Artificial Intelligence (AI) is reshaping public governance, including legislative processes. In the United Arab Emirates (UAE), AI is being actively utilized to enhance law-making through faster drafting, improved consistency, and greater transparency. This study examines the role of AI in the UAE’s legislative functions, focusing on how AI tools assist in analyzing legal data, formulating policy recommendations, and drafting legislation. It explores how AI impacts the speed, accuracy, and legitimacy of law-making, while also addressing the ethical and legal challenges of delegating legislative tasks to intelligent systems. Using a qualitative case study method, the paper evaluates government initiatives, expert insights, and regulatory structures that frame AI's integration into the UAE’s law-making system. While AI offers opportunities for data-driven governance and increased legislative productivity, it also presents risks such as algorithmic bias, reduced human oversight, and accountability gaps. The study emphasizes that AI must be governed by strong regulatory frameworks to safeguard democratic values, fairness, and legal integrity. By analyzing a pioneering national model, this research contributes to global discussions on AI in governance and offers key insights for policymakers, technologists, and legal scholars seeking to balance innovation with ethical and legal standards.

This study aims to examine the influence of marketing content on business performance with moderation in price strategy and CRM. This research design is quantitative research with primary data in the form of the calculation of assets, turnover, and capital owned by MSMEs in Purworejo Regency. The data collection technique uses library research and documentation techniques. The population in this study is MSMEs that are members of the Purworejo Regency MSME Forum in 2025, amounting to 1,819 business actors. The sampling technique used is the Slovin formula so that the sample for this study is 67 business actors. The results of the study show that marketing content and CRM have an impact on business performance, Price Strategy has no impact on business performance and both price strategy and CRM strengthen the relationship between marketing content and business performance. Future studies may explore the deeper dynamics of these variables in other regions or sectors to gain further insights into effective business management practices.

This study aims to analyze the interrelationship between profitability, capital structure, firm size, and tax avoidance. It employs a descriptive analysis method combined with a literature review approach. The study draws upon various prior empirical studies indexed in Sinta 2 and Scopus Q2 from the period 2021–2024, as well as relevant secondary data sources. This approach is intended to provide a comprehensive understanding of the factors influencing firms’ propensity to engage in tax avoidance practices. The results of the literature review indicate that there is a relationship between firms’ tendency to engage in tax avoidance and profitability, capital structure, and firm size. Higher profitability leads to increased tax burdens, thereby encouraging management to implement tax planning strategies in an effort to reduce the tax liabilities that must be settled. Furthermore, firms with higher proportions of debt and equity tend to have greater flexibility in managing their financial policies, which may influence their tax strategies. In addition, larger firms typically possess greater resources and broader access to professional expertise, enabling them to better identify and exploit opportunities for tax avoidance in order to maintain cash flow stability. It is expected that this study will contribute theoretically to the development of the literature on taxation and corporate finance. Moreover, the findings are anticipated to serve as a consideration for regulators in formulating more effective tax supervision policies.

This study aims to analyze the policy formulation process for the Pasar Besar revitalization program in Pasuruan City, focusing on the stages involved in policy formulation. This study uses a descriptive qualitative approach with interviews with informants and documentation. The results of the study reveal that the Pasar Besar revitalization policy formulation process does not fully conform to the four ideal stages. Of the four stages that should be followed: problem formulation, agenda process, alternative formulation, and policy determination, only two stages were carried out by policy makers in policy formulation, namely problem definition and policy determination. The results of the study reveal that at the problem definition stage, the Department of Industry and Trade defines the main problem as damage and unsuitability of market facilities and infrastructure, which has reached 70 percent, thus not complying with the Indonesian National Standard (SNI) for traditional markets. At the policy-making stage, the program is established and implemented through the 2022 Regional Work Plan (RKPD) of the Department of Industry and Trade, with funding provided through financial assistance to the provincial government. Several issues related to the market revitalization program policy formulation process include: the need to expand policy alternatives into several alternative options, such as considering partial or total market revitalization, and the need for alternative marking, such as gradual revitalization or making small but consistent improvements.

The implementation of public communication ethics codes in governmental policies encounters complex challenges in achieving optimal transparency, accountability, and responsiveness standards. This qualitative research employs library research methodology to analyze the effectiveness of public communication ethics code implementation mechanisms through normative examination of official government communication practices. Systematic content analysis of regulations, policies, and communication practice documentation reveals significant disparities between normative idealities and operational realities in field implementation. Findings indicate structural, cultural, and technological factors serve as primary determinants of implementation success. The digital era and post-truth phenomena present additional complexities in managing ethical public communication. Technological adaptation inadequacies, institutional coordination fragmentation, and organizational commitment variations influence the consistency of communication ethics standard application. A comprehensive evaluation model integrating input-process-output-outcome dimensions is essential for measuring implementation effectiveness. Recommendations encompass institutional capacity strengthening, adaptive regulatory framework reformulation, and development of communicative accountability systems responsive to contemporary dynamics. This research contributes to developing theoretical frameworks for public communication ethics code implementation within Indonesian governmental governance contexts.