Abstract:This study aims to analyze the influence of multi-stakeholder collaboration on the resilience of tourism activities and to examine the mediating role of sustainable tourism management within a community-based tourism village…
lage context. A quantitative explanatory research design was employed, using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research was conducted in Nglanggeran Tourism Village, Special Region of Yogyakarta, Indonesia, with data collection carried out in 2025. A total of 90 respondents were selected through purposive sampling based on their active involvement in village tourism activities. The three main constructs, namely multi-stakeholder collaboration, sustainable tourism management, and tourism activity resilience, were measured using a 5-point Likert scale instrument. PLS-SEM analysis was employed to evaluate the measurement and structural models, encompassing assessments of validity, reliability, R², Q², and hypothesis testing via bootstrapping. Findings indicate that multi-stakeholder collaboration has a positive and significant effect on both sustainable tourism management and tourism activity resilience. Sustainable tourism management also shows a positive and considerable influence on tourism activity resilience. Furthermore, a partial mediation effect was identified, wherein sustainable tourism management strengthens the impact of multi-stakeholder collaboration on the strength of tourism activities. Structured and inclusive multi-stakeholder collaboration, when integrated with sustainable tourism management practices, enhances the resilience of tourism activities in community-based destinations. These results underscore the crucial importance of collaborative governance and sustainable management practices in fostering destination sustainability and resilience.
Abstract:This study aims to examine the behavior of micro-enterprise taxpayers in the implementation of the Self-Assessment System in Gorontalo City. The method used is descriptive qualitative with five informants. The results show…
ow that taxpayers’ behavior in calculating, paying, and reporting taxes is still not optimal due to low tax understanding and limited tax outreach provided by the authorities
Abstract:The principle of legality is a fundamental concept in the Indonesian criminal justice system, ensuring legal certainty and the protection of human rights from arbitrary criminal punishment. However, the rapid development…
of modern crimes often leads to legal gaps or vague norms that require judges to conduct judicial law-finding (rechtsvinding) when resolving criminal cases. This research aims to analyze the position of the principle of legality as a legal limit to judicial authority and examine how far judicial law-finding can be carried out without violating the essential principles of criminal law. This study employs a normative legal research method with a statute approach, conceptual approach, case approach, and historical approach. The results demonstrate that the principle of legality plays a crucial role in restricting judicial interpretation to prevent the creation of new offenses that may harm defendants and to ensure punishment can only be imposed based on pre-existing laws. Nonetheless, judicial law-finding remains necessary to address contemporary crimes that are not yet regulated under statutory law. Therefore, a proportional balance between legal certainty and substantive justice is required so that the principle of legality and judicial law-finding can work synergistically within Indonesia’s criminal justice system.
Abstract:The ambiguity of the elements “dealer” and “user” in Articles 114, 112, and 127 of Law Number 35 of 2009 on Narcotics creates legal uncertainty in the practice of criminal justice. These three provisions often overlap in…
erlap in law enforcement, particularly when investigators and public prosecutors apply more severe charges without comprehensively examining the legal construction of the defendant’s actions, including the social and situational context behind them. This study is a normative legal research that examines the doctrine of judicial legal discovery, principles of criminal law, and the principle of proportionality in sentencing in a more in-depth and structured manner. The results of the study indicate that judges have the authority to interpret the elements of narcotics criminal acts systematically, grammatically, and teleologically to clearly distinguish between “abusive users” and “dealers with the intent to distribute.” Legal discovery is needed to prevent overcriminalization and to ensure the protection of the rights of suspects and defendants throughout the entire criminal justice process. This study concludes that the appropriate method of interpretation is an integration of systematic interpretation, teleological interpretation, and the ratio legis of the Narcotics Law.
Abstract:The development of artificial intelligence (AI) technology has serious implications for the criminal justice system in Indonesia. The emergence of new forms of crime such as cyber laundering, deepfakes, and digital data…
manipulation raises questions about who should be held accountable. This study aims to examine the main challenges in applying criminal law to AI-based entities and offer normative and practical solutions to ensure legal certainty. By using a normative juridical approach and a literature review of Indonesian positive legal regulations and doctrines, this study is expected to contribute to the formation of a ius constituendum that is adaptive to the digital era. The results of the study demonstrate the urgency of reforming national criminal law to accommodate the legal status and responsibilities of AI in the Indonesian justice system.
Abstract:This study aims to analyze the extent to which the Basic Competencies (KD) in Geography in the 2013 Curriculum contribute to strengthening students' spatial literacy. The study used a qualitative descriptive approach with…
h content analysis techniques on curriculum documents and source triangulation. The results showed that the Basic Competencies in Geography in grades X, XI, and XII have varying levels of strengthening spatial literacy. Grade X plays a role in building a foundation for spatial understanding related to geosphere phenomena. Grade XI strengthens understanding of spatial interactions through materials on resource distribution, population dynamics, and human-environment relationships. Meanwhile, grade XII is the level with the greatest contribution to spatial literacy through materials on remote sensing, Geographic Information Systems (GIS), rural-urban spatial patterns, and zoning. Although the structure of the Basic Competencies shows gradual development, it is not entirely consistent in demanding advanced spatial skills, especially at earlier levels. These findings emphasize the importance of strengthening learning strategies and supporting school facilities to maximize the potential of Basic Competencies in building students' spatial literacy.
Abstract:Corruption, as an organized and transnational crime, demands a more effective asset recovery mechanism than the conventional criminal approach currently applied in Indonesia. The limitations of criminal law instruments in…
n tracing, confiscating, and repatriating assets that have been transferred, concealed, or placed outside national jurisdiction form the central background for the urgency of the Asset Forfeiture Bill. This study aims to analyze the concept of asset forfeiture for corruption cases through the non-conviction based forfeiture mechanism and assess the alignment of the Asset Forfeiture Bill with international standards, particularly the UNCAC. The research employs a normative legal method through an examination of legislation, academic literature, international documents, and comparative best practices. The findings indicate that the Bill introduces a new enforcement paradigm through in rem procedures, an integrated asset-tracing system, civil judicial control, and transparent asset management. The discussion reveals that although the Bill has significant potential to enhance state asset recovery, its implementation requires strengthened evidentiary standards, protection of property rights, and improved inter-agency coordination. The study concludes that the Asset Forfeiture Bill represents a strategic instrument for improving the effectiveness of anti-corruption efforts, yet its success depends on procedural safeguards, transparency in asset administration, and the institutional capacity of law enforcement bodies.
Abstract:This study analyzes the interpersonal language actions used by students in class interactions at SMP Negeri 5 Manuju with the Functional Systemic Linguistics (LSF) approach. This approach emphasizes the role of language…
as a tool to build social meaning and facilitate interaction in the context of learning. The purpose of the research is to understand how students use language to communicate, coordinate, and negotiate meaning in learning activities. The research method used is qualitative descriptive with data collection through direct observation of classroom interactions, in-depth interviews with teachers and students, and documentation in the form of recordings and field notes. Data analysis is carried out interactively through the stages of collection, reduction, presentation, and extraction of meaning from interpersonal utterances that appear in learning. The results showed that students' interpersonal language actions were realized through three types of mood clauses: interrogative, used to ask questions and ask for clarification; declarative, used to convey an opinion or information; and imperative, used to direct group work with mitigation to maintain social harmony. The function of this language act is not only to convey information, but also to build social relationships, organize group collaboration, and provide subtle approval or support. These findings provide an overview of how language plays a role in shaping communicative and collaborative interactions in the classroom.
Abstract:This study aims to determine the influence of the use of infographic media on the motivation to learn and comprehend news texts of grade VII students of SMP Hasanuddin Gowa. The background of this research departs from the…
he low motivation and ability of students to understand news texts, especially in Indonesian learning which requires students to be able to analyze information critically and systematically. Infographic media was chosen as an alternative because it has attractive visual characteristics, is concise, and is able to present complex information in a more understandable way. The research method used was a pseudo-experiment with a nonequivalent control group design. The research sample consisted of two classes, namely the experimental class that obtained learning using infographic media and the control class that obtained conventional learning. Data collection techniques include learning motivation questionnaires, news text comprehension tests, observations, and documentation. Data analysis was carried out through prerequisite tests (normality and homogeneity), t-test, and MANOVA test to see the effect simultaneously. The results showed that there was a significant difference between the experimental class and the control class on the aspect of learning motivation, where the experimental class had a higher average motivation score after the use of infographic media. In addition, students' understanding of news texts in the experimental class also increased significantly compared to the control class. MANOVA's analysis strengthens the finding that infographic media has a simultaneous effect on students' motivation to learn and comprehension of news texts. Thus, this study concludes that infographic media is effectively used as a learning medium in news text materials. Infographics not only increase students' motivation to learn, but also help students understand the content of the news more comprehensively. These findings recommend the use of innovative visual media in Indonesian learning to improve the quality of students' learning processes and outcomes.
Abstract:This study explores how incorporating artificial intelligence improves institutional resilience and overcomes the rigidity of conventional, data-based methods to alter financial risk management. To find patterns in AI applications,…
applications, resilience theory, and integration pathways, a qualitative systematic literature review was carried out utilizing theme synthesis in accordance with PRISMA peer-reviewed protocols. Findings show that AI techniques, machine learning for tail-risk detection, deep learning for high-frequency forecasting, and explainable AI for transparent decisions, yield up to 28% reductions in forecasting errors and halve recovery times during crises. The hybrid CNN Transformer architectures and transformer-based NLP models significantly enhance predictive accuracy and forward-looking insights. The study suggests financial institutions adopt integrated AI frameworks, invest in data quality and human–AI collaboration, and implement principle-based governance to balance innovation with fairness and stability. Limitations include reliance on published literature and limited representation of emerging AI models, warranting future longitudinal and context-specific empirical research.