Abstract:The rapid advancement of digital technology and artificial intelligence (AI) in the twenty-first century has fundamentally transformed the structure of modern constitutional governance. Digitalization has reshaped the interactions…
teractions between governments and citizens, altered the patterns of political participation, and presented major challenges to constitutional principles. This study aims to analyze the implications of technological development for constitutional law and propose the concept of a digital constitution as an adaptive framework in the AI era. This study employs a normative legal method, using both conceptual and statutory approaches. Legal materials consist of primary, secondary, and tertiary sources, which are analyzed qualitatively and descriptively. The findings reveal that, while digital transformation enhances governmental efficiency and public transparency, it also generates serious risks, including data misuse, digital surveillance, and political disinformation. These dynamics demand a reinterpretation of constitutional norms to protect citizens' digital rights in cyberspace. The concept of a digital constitution is proposed as a normative response that integrates digital rights into constitutional rights and reaffirms the principle of the rule of law within technological governance. To achieve a democratic and just constitutional order, it is crucial to strengthen regulatory frameworks, ensure algorithmic accountability, and foster collaboration among state institutions, civil society, and the private sector. Ultimately, constitutional law must evolve into an adaptive, transparent, and fair system that can address the profound challenges of the digital and AI-driven era.
Abstract:This study investigates the communicative practices of youth volunteers involved in Surabaya’s Kelurahan Bersinar anti-drug initiative, highlighting the role of grassroots messaging in shaping public health discourse. Grounded…
Grounded in framing theory, narrative theory, and social capital theory, the research explores how volunteers construct persuasive anti-drug messages through culturally rooted storytelling, emotional framing, and symbolic communication. Using a qualitative case study approach, data were gathered through interviews, focus groups, observations, and campaign materials with 18 youth volunteers. The findings reveal that volunteers effectively used personal experiences and local narratives to foster trust and collective identity, transforming individual challenges into shared stories of hope and resistance. Emotional strategies, such as gain-framed and fear-based appeals, were deliberately crafted to trigger empathy and promote behavioral change. Volunteers also capitalized on their deep integration within community networks to enhance message credibility and reach, cultivating both bonding and bridging social capital. The study challenges top-down approaches in health campaigns, illustrating the power of peer-led, culturally resonant communication. It contributes a layered communication model for grassroots health advocacy and underscores the transformative impact of narrative-driven volunteer engagement. The study recommends integrating cultural framing in training programs and exploring digital channels to scale grassroots messaging in future research.
Abstract:The increasing complexity and dynamics of the business environment at local, regional, and global levels have driven PT PLN (Persero)’s Internal Audit Unit (SPI) to adopt a Purpose-Driven Internal Audit approach, positioning…
ioning the audit function as a strategic partner for long-term organizational success. However, the Internal Stakeholder Satisfaction Index for assurance services in the Construction, Generation, and New Renewable Energy Audit Division (AKP) fell short of its targets in 2023 and 2024. This study aims to analyze the impact of audit service quality—comprising tangibles, reliability, responsiveness, assurance, and empathy—on auditee satisfaction. Using a quantitative approach with PLS-SEM and Importance–Performance Map Analysis (IPMA), data were collected from AKP Division auditees in 2024. The results show that all dimensions of audit service quality positively and significantly influence satisfaction, with responsiveness and empathy being the most dominant factors. The findings offer practical insights for SPI PLN in prioritizing service improvements based on user perceptions and provide theoretical support for the SERVQUAL model as a key psychological mechanism in fostering satisfaction within trust-based professional services
Abstract:Tiakur City, the capital of Southwest Maluku Regency, has undergone significant physical development between 2015 and 2025, driven by population growth and economic activities. This study employs a quantitative approach…
using remote sensing technology with PlanetScope satellite imagery to analyze land cover changes. The analysis reveals an increase in built-up land area from 171.29 hectares (7.31%) in 2015 to 395.66 hectares (16.89%) in 2025, while non-built-up land experienced a decline. These findings indicate a rapid development rate and highlight the importance of sustainable spatial planning. In conclusion, understanding the patterns and intensity of land cover changes in Tiakur City is crucial for evaluating spatial planning policies and improving infrastructure development planning for the future.
Abstract:The Industrial Revolution 4.0 has drastically transformed global industries, introducing advanced technologies such as automation, artificial intelligence, and digitalization into the workplace. This rapid technological…
shift has presented significant challenges for labor laws, which are often designed for traditional work environments. This study explores the implementation of labor law in the context of the Industrial Revolution 4.0, analyzing the challenges faced by both employers and employees in adapting to these new technological advancements. Using a qualitative methodology, this research employs a juridical review of existing labor laws, supported by an in-depth case study examining how these laws are applied in technology-driven industries. The findings indicate that labor laws often lag behind the technological advances, leading to gaps in legal protections for workers and ambiguities in employer obligations. The case study highlights specific instances where current labor regulations fail to address issues related to remote work, job displacement due to automation, and workers' rights in the gig economy. Solutions are proposed to modernize labor laws, ensuring they are adaptable to future technological developments while safeguarding workers' rights. The study concludes that there is an urgent need for legal reforms to balance innovation with fair labor practices in the era of Industry 4.0.
Abstract:This study explores the implementation of Green Technology (Greentech) in the dual domains of administrative management and pedagogical processes within Islamic education institutions (madrasahs, Islamic schools, and pesantren).…
antren). It investigates the potential of Greentech—encompassing energy-efficient hardware, paperless systems, cloud computing, digital learning platforms, and IoT-based resource monitoring—to reduce environmental impact while enhancing operational efficiency and learning outcomes. Employing a mixed-methods sequential explanatory design, the research first surveyed a broad sample of institutions to map adoption levels, followed by in-depth case studies of early adopters. Findings indicate significant potential for reducing carbon footprint and operational costs through virtualization of services, e-learning integration, and smart facility management. However, major challenges persist, including high initial investment, digital literacy gaps among educators, concerns over technology's influence on traditional Islamic pedagogy (talaqqi), and inadequate technological infrastructure. The study concludes that a strategic, values-driven approach aligning Greentech adoption with maqashid sharia (particularly hifdz al-mal/resource preservation) is crucial. It presents a phased integration model that prioritizes technologies offering both environmental and educational benefits, advocating for a balanced fusion of technological efficiency and the preservation of relational, character-based Islamic learning.
Abstract:Financial independence remains a critical challenge for Islamic educational institutions, primarily due to their persistent reliance on external funding sources. Such dependency not only undermines financial stability but…
t also constrains institutional autonomy and long-term sustainability. This article aims to conceptually examine pathways toward financial independence in Islamic educational institutions through a zero capital approach. Employing a qualitative library research design, this study critically analyzes scholarly books and peer-reviewed journal articles related to Islamic education management, social entrepreneurship, and non-profit organizational governance. The findings reveal that financial independence is not solely determined by the availability of financial capital, but rather by the institution’s capacity to optimize non-financial assets, including social capital, intellectual capital, and symbolic capital. The zero capital approach emerges as a transitional strategy that encourages the effective utilization of internal resources, competency-based productive innovation, and operational efficiency through digitalization. The novelty of this article lies in repositioning financial independence as a structural, asset-based process aligned with Islamic values, rather than as an instant outcome driven by monetary capital. This study contributes to the advancement of Islamic education management discourse and offers strategic insights for institutional leaders seeking sustainable financial independence under resource constraints.
Abstract:The rapid advancement of digital technologies has fundamentally restructured the nature of work and transformed the roles, practices, and strategies of Human Resource Management (HRM). This article presents a systematic…
review of HRM challenges and opportunities within digital workplace environments, drawing on peer-reviewed literature published between 2015 and 2024. Five core dimensions of digital HRM transformation are examined: technology-based talent acquisition, remote and hybrid workforce management, continuous digital competency development, people analytics and data-driven decision-making, and the ethics of algorithmic management. The findings reveal that while digitalization enhances HR efficiency and organizational agility, it simultaneously introduces complex challenges related to employee well-being, digital equity, and data privacy. This article further proposes the Digital HRM Maturity Model as a conceptual framework offering organizations a structured pathway toward sustainable, human-centered digital transformation. Managerial implications and future research directions are discussed accordingly.
Abstract:This study discusses a peanut shelling machine driven by a gasoline-engineered motor . In Indonesia, many processed peanut products require peanuts as a component, such as salted peanuts, peanut oil, peanut paste, peanut…
tofu, and others. Manual peanut shelling is usually inefficient and time-consuming. Therefore, with this machine, which can automatically peel peanuts, it will greatly help save time and increase production capacity. Based on planning calculations for the planned components, the following data was obtained: Gasoline engine used = 5.5 Hp , Pad = 6005 , Belt length to peeler = 65 inches , Belt length to blower = 25 inches , Diameter pulley blower = 4 inches , Pulley diameter peeler = 11 inches , Diameter pulley driver = 2 inches . After analyzing the production/manufacturing costs of this machine, the price for manufacturing 1 peanut peeling machine was Rp4,019,372.24 .
Abstract:Perkembangan revolusi Industry 4.0 mendorong transformasi besar dalam sistem manufaktur melalui integrasi teknologi digital dan kecerdasan buatan. Machine Learning (ML) menjadi salah satu elemen kunci dalam otomasi industri…
tri karena kemampuannya memproses data secara adaptif untuk mendukung pengambilan keputusan otonom. Penelitian ini bertujuan untuk meninjau secara sistematis penerapan Machine Learning dalam sistem manufaktur otomatis dengan menyoroti tren, tantangan, serta arah penelitian masa depan. Metode yang digunakan adalah Systematic Literature Review (SLR) terhadap 30 artikel jurnal internasional terindeks Scopus, IEEE Xplore, dan ScienceDirect dalam rentang tahun 2020–2025. Hasil studi menunjukkan bahwa Machine Learning banyak diterapkan pada empat domain utama: predictive maintenance, process optimization, quality control, serta intelligent automation. Algoritma yang dominan digunakan meliputi supervised learning dan deep reinforcement learning, yang terbukti mampu meningkatkan efisiensi operasional hingga 35%. Namun demikian, isu terkait interpretabilitas model, keterbatasan data industri, serta integrasi manusia–AI masih menjadi tantangan utama. Studi ini mengusulkan kerangka konseptual AI–Driven Manufacturing Framework sebagai panduan pengembangan sistem manufaktur cerdas yang adaptif, transparan, dan berkelanjutan menuju era Industry 5.0.