Abstract:Learning difficulties among higher education students remain a critical issue, particularly in Islamic higher education institutions that integrate academic, moral, and spiritual dimensions. This study aims to analyze students’…
udents’ learning difficulties from three main perspectives: psychological factors, learning strategies, and learning management at the Institute of Islamic Studies (Institut Agama Islam) Padang Lawas. A qualitative descriptive approach was employed, involving observations, semi-structured interviews, and document analysis. The participants consisted of undergraduate students and lecturers selected through purposive sampling. The findings reveal that students’ learning difficulties are strongly influenced by psychological factors such as low learning motivation, academic anxiety, limited self-confidence, and weak self-regulated learning skills. In addition, the dominance of conventional teaching strategies and limited student-centered learning practices contribute to low engagement and conceptual understanding. From a learning management perspective, constraints related to instructional planning, classroom organization, and evaluation systems further exacerbate students’ learning difficulties. This study highlights the importance of integrating psychologically informed instructional strategies and effective learning management to enhance students’ academic performance in Islamic higher education contexts.
Abstract:Higher education is required to integrate theoretical mastery with contextual experience to produce academically and professionally competent graduates. This study aims to analyze the implementation of experience-based learning…
earning across several courses at the Institute of Islamic Studies (IAI) Padang Lawas, including Learning Theories and Instructional Methods, the Indonesian Legal System, Listening Skills in Language Learning, Mathematics Learning Methodology, Elementary School Mathematics, Educational Assessment, and Educational Evaluation. A descriptive qualitative approach was employed using observation, interviews, and documentation. The findings reveal that experience-based learning consistently enhances students’ conceptual understanding, analytical ability, and reflective skills across disciplines. These results confirm the relevance of contextual learning approaches in strengthening students’ academic competence in higher education.
Abstract:This study aims to explore and analyze the role of law enforcement in upholding privacy regulations as an effort to strengthen national resilience in the digital era, with a particular focus on the implementation of Law…
Number 27 of 2022 on Personal Data Protection (PDP Law). Employing a descriptive qualitative method based on a literature review, the research examines structural, technical, and institutional challenges in the enforcement of the PDP Law, including low levels of public digital literacy, the absence of comprehensive implementing regulations, and the lack of inter-agency integration. The findings reveal that weak law enforcement increases the risk of cyberattacks on critical infrastructure, diminishes public trust in digital services, and poses the potential for digital economic isolation. The study further highlights the importance of synergy among the government, private sector, civil society, and the media in developing an effective data protection system, supported by capacity-building for law enforcement officers, regulatory harmonization, and the adoption of AI-based legal technologies. Conceptually, successful law enforcement in digital privacy protection not only safeguards individual rights but also serves as a strategic foundation for national resilience.
Abstract:This study aims to analyze the role of local government in responding to the influence of inflation and interest rates on gold prices at the Pegadaian Sungguminasa Branch, Gowa Regency. The data used in this research were…
e obtained from the period 2021 to 2023. The study employs a descriptive quantitative method with a case study approach at Pegadaian Sungguminasa Branch. Data were collected through documentation and interviews with relevant parties, including local government officials and Pegadaian management. The results show that fluctuations in inflation and interest rates have a significant effect on changes in gold prices. The local government plays an important role in maintaining economic stability through inflation control policies, improving financial literacy among the community, and collaborating with financial institutions such as Pegadaian to provide safe and productive investment access for the public. This research is expected to serve as a reference for local governments in formulating adaptive economic policies in response to macroeconomic dynamics, particularly those related to gold prices.
Abstract:This study aims to analyze population dynamics and the challenges of sustainable development in Indonesia from a social, economic, and environmental perspective. Population dynamics, including population growth, urbanization,…
tion, internal migration, and changes in demographic structure, have become determining factors in the success of development. The method used is a qualitative approach with a literature review sourced from official documents, scientific journals, and reports from international institutions. The results show that rapid population growth and uncontrolled urbanization have led to spatial inequality, reduced green open space, pressure on public infrastructure, and increased environmental degradation. Furthermore, unpreparedness in spatial planning and weak integration of population data into development policies exacerbate socio-economic imbalances between regions. The shift in demographic structure toward a predominance of the productive age group presents the opportunity for a demographic bonus, but also the risk of a demographic burden if not balanced by improvements in the quality of human resources. This study emphasizes that successful sustainable development requires data-driven, gender-equitable, environmentally friendly, and participatory population policies. The integration of technologies such as Geographic Information Systems (GIS) and spatial analysis is a strategic step in realizing inclusive, adaptive, and sustainable development for future generations.
Abstract:Digital transformation has reshaped the marketing communication paradigm of the banking industry in Indonesia, encouraging financial institutions to adopt creative strategies to reach digital consumers. This study aims to…
o analyze the influence of content marketing, omnichannel marketing, and electronic word of mouth (eWOM) on purchase decisions through brand awareness in BCA’s public service advertisement “Don’t Know Kasih No!”. This banking security education campaign successfully garnered more than 100 million views through its unique storytelling approach, engaging audiovisual elements, and relevant humor, making it an interesting phenomenon to be examined scientifically. This research employs a descriptive quantitative method using the Structural Equation Modeling–Partial Least Square (SEM-PLS) approach. The research population consists of Indonesian individuals aged 17–40 years (Generation Z and Millennials) who are BCA customers and have been exposed to the “Don’t Know Kasih No.!” advertisement. The sample size was determined using Cochran’s formula, resulting in a minimum of 100 respondents, selected through purposive sampling. Data were collected using an online questionnaire developed based on a five-point Likert scale containing 47 statement items. Data analysis was conducted using SmartPLS 4.0 to evaluate validity, reliability, and structural hypothesis testing.
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 research examines how decentralization policy in Indonesia shapes public administration strategies in tourism destination development across two major cities in West Sumatera: Padang City and Bukittinggi City, which…
possess distinct geographical characteristics, governmental structures, and fiscal capacities. Through a comparative literature study finds that Padang City adopts a coastal modernization strategy oriented toward infrastructure and MICE (Meetings, Incentives, Conventions, and Exhibitions), whereas Bukittinggi City develops a heritage conservation and community based governance approach. Decentralizations demonstrates a characteristics of asymmetrical governance, where fiscal capacity and geographical context significantly determine the local government’s ability to formulate tourism strategies. This study contributes to the theory of destination governance and decentralizations by ooffering the perspective that regional autonomy does not automatically enhance policy effectiveness: rather, it must be supported by institutional capacity, collaboration, and policy fit with the unique characteristics of the tourist destination.
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 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.