Publication Search

Advances in information and communication technology have encouraged governments to integrate digital systems into public service delivery through e-government initiatives. In Riau Province, the Riau application at the Soeman H.S. Library exemplifies this implementation. This study examines how the Riau application enhances the effectiveness and efficiency of public services within the library. Using a descriptive qualitative method, data were collected through interviews, observations, and documentation. Findings show that the application provides convenient online access to library information and services. However, challenges remain, including limited financial resources, dependence on external parties, and insufficient feature development to meet user needs fully. These findings underscore the importance of strengthening institutional capacity, improving infrastructure, and formulating strategic plans to sustain digital library services. In line with Indonesia’s 1945 Constitution, regional governments possess autonomy to manage local affairs, aiming to improve public welfare through enhanced services, community empowerment, and civic participation while promoting regional competitiveness with attention to equity and democratic values. Following Presidential Instruction No. 3 of 2003, digital governance transformation is necessary to reduce bureaucratic barriers, integrate workflows, and support inter-institutional collaboration.

The plantation sector is one of the main pillars in Indonesia’s international trade. Commodities such as palm oil, rubber, coffee, and cocoa serve as leading export products that contribute significantly to the country’s foreign exchange earnings. This study aims to analyze the role of plantation commodity exports in Indonesia’s international economic performance and to identify the challenges faced. The method used is a descriptive qualitative approach through literature review from various scientific sources. The results indicate that plantation exports contribute substantially to economic growth, employment generation, and the stability of the trade balance. However, several challenges persist, including global price fluctuations, sustainability issues, and international trade barriers. Therefore, strategic policies are required to enhance the competitiveness of Indonesia’s plantation commodities in the global market.

Self-development is a crucial competence for navigating the professional world; however, many individuals face significant barriers in optimizing this potential. This study aims to formulate an integrative model of Quranic Tadabur and bibliotherapy as a professional therapeutic intervention in counseling, addressing gaps in existing literature. Using a library research method with content analysis, the findings indicate that Quranic Tadabur effectively enhances essential self-development skills, including self-awareness, work motivation, problem-solving, time management, emotional regulation, critical and creative thinking, and social collaboration. Within the bibliotherapy framework, the self-development process is structured through stages of motivation, incubation, follow-up, and evaluation. Furthermore, several counseling techniques are proposed, such as self-management, minimal contact, counselor-led management, and directed counseling, to support individual growth. This integrative approach highlights the role of spirituality in fostering holistic personal and professional development. The study contributes theoretically to the advancement of spirituality-based counseling models, particularly in the context of modern career development, and offers a conceptual foundation for future empirical research.

This study aims to improve digital money literacy among the community of Kineppen Village, Munte District, Karo Regency, through education and the implementation of the QRIS (Quick Response Code Indonesian Standard) payment system. The research utilized a descriptive qualitative approach, incorporating field observations, interviews, and direct mentoring with four local businesses: Ayam Penyet Pak Lek, Warkop Aim Tigander, Oke Laundry Kineppen, and Pangkas Singarimbun. The findings show that two businesses, Ayam Penyet Pak Lek and Pangkas Singarimbun, successfully adopted QRIS, leading to smoother transactions and increased customer trust. However, the other two businesses, Warkop Aim Tigander and Oke Laundry Kineppen, still face challenges in adopting the system due to limited internet access and deep-rooted traditional cash payment habits. Despite these barriers, the program significantly enhanced the digital literacy of local entrepreneurs, raising their awareness and readiness to participate in the village’s digital economy. This study emphasizes the importance of continuous support and access to technology in fostering the broader adoption of digital payment systems, particularly in rural areas where technological access may still be limited

This paper aims to analyze the influence of Human Resource Reform and Transformational Leadership on Civil Servant Professionalism, with Resistance to Change as a mediating variable. The research focuses on civil servants at the Semarang City Personnel, Education and Training Agency (BKPP Semarang City), an institution at the forefront of bureaucratic reform and talent management. A quantitative approach was employed through a survey of 77 civil servants using a saturated sampling technique. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the direct and mediation relationships between the research variables. The results showed that Human Resources Reform of Civil Servants and Transformational Leadership had a positive and significant effect on ASN Professionalism. Transformational Leadership was also proven to reduce Resistance to Change, while Human Resources Reform had an indirect effect through reducing resistance. In addition, Resistance to Change had a significant negative effect on ASN Professionalism and mediated the relationship between Human Resources Reform of Civil Servants and ASN Professionalism. These findings confirm that merit system reform, competency development, and inspirational leadership are key factors in improving ASN professionalism, especially when psychological and structural barriers in the form of resistance to change can be minimized. This study provides theoretical contributions in the development of a model of ASN professionalism as well as practical recommendations for local governments in strengthening the implementation of bureaucratic reform.

This study examines the experience of access to health services and resilience strategies in adolescents with unplanned pregnancies in Makassar, Indonesia. Access to quality reproductive health services is important for adolescents' well-being, but they often face systemic barriers that affect access to health services and outcomes. The study used an Interpretative Phenomenological Analysis (IPA) approach on seventeen adolescent girls aged 15–19 years who had an unplanned pregnancy between June–November 2023. Data were collected through in-depth semi-structured interviews, recorded, verbatim transcribed, and analyzed by a six-stage science process. Two main themes were found: Navigating Closed Doors: Systematic Barriers to Care and Finding Light in Darkness: Resilience and Agency. Participants faced a variety of layered barriers, including a lack of information about health services and rights, geographical and economic constraints, age-based discrimination, parental notification obligations, fear of legal consequences especially related to abortion, family control over decisions, and limitations in adolescent-friendly services. Nonetheless, adolescents show resilience through seeking strategic help, resistance to pressure, spiritual and religious coping, peer support, gradual acceptance of maternal identity, educational sustainability, and positive meaningfulness of difficult experiences. These findings point to the need for a transformation of the health system that not only improves attitudes of health workers, but also addresses structural barriers such as confidentiality, age discrimination, and service availability, while strengthening agency and adolescent coping strategies.

This research investigates integrated legal-human resource frameworks for autonomous vessel operations in Indonesian archipelagic waters, addressing regulatory compliance gaps and seafarer workforce transition challenges. Through qualitative analysis involving 38 stakeholders including maritime lawyers, regulatory officials, ship operators, seafarer unions, training institutions, and autonomous technology developers, this study examines how existing maritime legal frameworks prove inadequate for unmanned operations while workforce displacement threatens 150,000+ Indonesian maritime workers. Results demonstrate that successful autonomous vessel adoption requires coordinated legal-HR approaches addressing liability allocation (achieving 75-85% clarity through multi-party frameworks), competency certification for remote operators (reducing training gaps by 60-70%), career transition pathways (enabling 55-65% workforce adaptation), and regulatory harmonization (improving compliance efficiency by 45-60%). Key barriers include UNCLOS Article 94 incompatibility, insurance unavailability, seafarer resistance, and jurisdictional fragmentation. Findings reveal that archipelagic contexts demand unique legal-HR solutions integrating traditional maritime rights, hybrid operational modes, and just transition principles. This research contributes frameworks enabling Indonesia to proactively shape autonomous vessel regulations protecting both technological innovation and maritime workforce interests during critical technology transition.

Semarang City is an urban area with a high vulnerability to flooding. Based on data from the Semarang City Regional Disaster Management Agency, in 2022 there were 133 flood events with extreme rainfall reaching 200 mm per day. Kota Lama Semarang is a historical tourist destination with high heritage value, but this area often faces flooding challenges, especially around the Tawang Polder Area with inundation reaching 30-100 cm. This condition is triggered by an existing drainage system that is not optimal due to limited channel capacity and blockages caused by sedimentation. The purpose of this study is to develop the SEMAR-SUDs smart drainage system innovation. The writing method was carried out through literature studies, hydrometeorological data reviews, and descriptive-quantitative analyses, which formed the basis for the design and implementation of the innovation. SEMAR-SUDs (Semarang-Sustainable Urban Drainage Systems) concept is an integrative solution that combines three main elements Debris Separate Baffle Boxes (DSBB) as a technology for separating waste and sediment, ArborFlow technology based on ecodrainage that optimizes rainwater retention and distribution and Self Closing Flood Barriers that work automatically to protect critical areas. The implementation of SEMAR-SUDs can be a solution model in increasing flood disaster resilience in the city of Semarang while supporting the realization of SDGs 9 (sustainable infrastructure development), SDGs 11 (resilient and sustainable cities), and SDGs 13 (climate action). The SEMAR-SUDs innovation is highly suitable for implementation in Semarang City to mitigate flooding and realize a smart, adaptive, and sustainable drainage system infrastructure.

Surveillance for diarrhea at the district level in Indonesia is still affected by the fragmented nature of the District Health Information System (DHIS) and Early Warning and Response System (EWARS), inconsistent reporting, patchy data interoperability, and the resulting public health delays. Although there are systems in place like the DHIS and EWARS, the persistent use of hybrid systems that combine manual and digital data entry, as well as the different skill levels of users, continues to produce issues of incompleteness, untimely reporting, and inaccurate data. The present study investigated the deficiencies in surveillance reporting of diarrhea cases, the surveillance data to determine the degree of integration and also investigated the health workers perceptions of the barriers to effective reporting. A mixed methods approach was adopted in this study where we investigated quantitatively the DHIS and routine diarrhea reports submitted for the entire year of 2023, and combined that with qualitative, in-depth interviews with the relevant surveillance officers, program managers, and district staff. The quantitative analysis indicated gaps in reporting about 55% in terms of completeness, and consistency of reporting and also significant differences were found between the manual register, DHIS, and EWARS whereby the integration of these systems was found to be low. The qualitative analysis pointed to the combination of disconnected workflows, limited cross-system interoperability, inadequate system training, excessive workloads, and weak organizational feedback, as the main barriers to effective reporting. The combination of these two datasets illustrates the fact that both system deficiencies and organizational factors are primary drivers of the reporting. Closing the gaps will require system level changes in the interoperability of reporting systems, simplified reporting workflows, training, reporting, and reporting feedback loops.

Science lessons in primary school significantly contribute to the early development of logical, scientific and systematic reasoning skills.   However, learning science can be challenging, especially when it comes to understanding abstract concepts and cause-and-effect interactions.   This is due to the fact that, as per Piaget's theory, primary school students are still in the concrete operational stage and have limited cognitive growth. Data regarding abstraction ability and causal reasoning in the context of science education were collected from various scientific sources using the literature review research methodology.  According to the research findings, STEAM integration, project-based learning strategies such as Project Based Learning (PBL), and the use of real and visual aids can help lower learning barriers. Successful learning is also influenced by the teacher's role as facilitator, which involves presenting the material in a relevant and contextualized way and fostering a positive learning environment. Real-world examples and exceptional examples, such as the use of worksheets based on cause-and-effect relationships and basic experiments, demonstrate how useful these strategies are for improving abstract thinking and understanding of cause-and-effect relationships. Developing innovative teaching methods based on practical, exploratory and integrative experiments is essential for maximizing the scientific understanding of primary school students.

This study investigates the role of Enterprise Information Systems (EIS) in driving innovation within organizations. The research employs a mixed-method approach, combining survey-based structural analysis and in-depth organizational case studies to explore how different EIS capabilities influence organizational innovation. The study focuses on four key EIS capabilities: functional capabilities such as workforce management and customer value creation; technological capabilities including ERP systems and real-time analytics; dynamic capabilities, especially organizational learning; and collaborative innovation through external partnerships. The survey results reveal that EIS capabilities, particularly data analytics and integration, significantly enhance organizational agility, decision-making, and innovation outcomes. In-depth case studies provide detailed insights into how these capabilities are applied in real-world organizational settings, illustrating their impact on process and service innovation. The findings indicate that the effective integration of EIS across organizational functions, along with improved access to data, contributes to operational efficiency and innovation success. However, challenges such as integration issues, resistance to change, and lack of skilled personnel were also identified as barriers to successful EIS adoption. The study contributes to the literature by offering a comprehensive understanding of how EIS capabilities drive innovation and highlighting the importance of organizational culture and leadership in the adoption process. The research provides practical recommendations for organizations to leverage EIS for fostering innovation, such as focusing on EIS integration, overcoming organizational barriers, and ensuring leadership engagement. Finally, the study suggests future research directions, including the refinement of multi-method approaches and the need for longitudinal studies to better understand the long-term impact of EIS on innovation outcomes.

In the context of both public organizations and Small and Medium Enterprises (SMEs), inefficient business processes remain a significant challenge. Fragmented information systems often hinder the optimization of these processes, leading to slower decision-making, redundant efforts, and increased operational costs. This study aims to analyze and optimize business processes by utilizing integrated information systems (IIS), providing a comparative analysis between the two sectors. The theoretical framework explores key theories such as Business Process Management (BPM) and the integration of information systems for process optimization. Previous studies highlight the differences in how IIS implementation impacts the public and SME sectors, noting challenges such as data silos, legacy systems, and resistance to change. A case study analysis methodology was employed to assess the effectiveness of IIS across both sectors. Business Process Modeling (BPMN) was used to visualize business processes before and after optimization, and process performance was measured through key metrics such as time reduction, error rates, and cost efficiency. The results show that IIS integration improved business process efficiency by an average of 28%, with reductions in redundancy and faster decision cycles observed in both sectors. Public organizations benefited from enhanced service delivery and better resource management, while SMEs gained competitive advantages through streamlined operations and increased responsiveness to market demands. The comparison reveals that integrated systems had a greater operational impact than traditional isolated process reengineering methods. Public organizations faced more regulatory and governance challenges, while SMEs leveraged their flexibility for faster integration. Recommendations for both sectors include focusing on overcoming barriers such as resistance to change and investing in system modernization. Future research should explore the long-term effects of IIS integration and further sector-specific comparisons.

This research investigates the development of IT-based Automatic Identification System (AIS) data surveillance models supporting maritime safety through integration of advanced information technology, maritime engineering principles, and human factors optimization. AIS technology generates vast real-time vessel movement data creating unprecedented opportunities for safety enhancement through systematic surveillance, collision risk detection, traffic pattern analysis, and incident prevention, yet effectiveness depends critically on intelligent data processing algorithms, reliable IT infrastructure, and competent personnel capable of interpreting surveillance outputs and taking appropriate actions. Through qualitative analysis involving maritime safety authorities, vessel traffic service (VTS) operators, port authorities, marine engineers, IT specialists, data scientists, and maritime training institutions, this study examines how IT-based surveillance models incorporating pattern recognition, anomaly detection, predictive analytics, and crew-centered interfaces can transform maritime safety management from reactive incident response toward proactive risk prevention. Results demonstrate that intelligent AIS surveillance can identify 75-90% of high-risk situations 15-45 minutes before critical events, reduce collision risks by 60-80%, improve traffic management efficiency by 35-55%, and enhance crew situational awareness by 45-65% when integrated with appropriate training programs developing personnel competencies in data interpretation, system operation, and coordinated response. Key implementation challenges include data quality and completeness issues, computational infrastructure requirements, algorithm development complexity, personnel competency gaps requiring substantial training investments, organizational coordination barriers, and privacy/security concerns. Findings reveal that successful AIS surveillance implementation requires holistic sociotechnical approaches integrating IT systems engineering, maritime domain expertise, and human capability development through coordinated design, deployment, and training strategies. This research contributes to maritime safety literature by providing integrated frameworks for IT-based surveillance systems incorporating technical capabilities, operational requirements, and human factors supporting evidence-based safety management.

This research investigates the development of integrated operational systems connecting terminal and ship operations for docking and berthing time optimization through systematic analysis of historical data. Port efficiency depends critically on minimizing vessel turnaround time, with berth allocation, docking procedures, and cargo operations coordination determining overall port productivity and competitiveness. Through qualitative analysis involving port operators, terminal managers, ship agents, harbor masters, and operations research specialists, this study examines how historical operational data can inform intelligent coordination systems improving berthing efficiency. Results demonstrate that data-driven integration systems incorporating predictive analytics, automated scheduling, and coordinated workflows can reduce average berth turnaround time by 15-30%, improve berth utilization by 20-35%, and decrease operational conflicts by 40-60% through optimized allocation and proactive coordination. Key implementation challenges include data quality and availability, system integration complexity, organizational coordination barriers, and resistance to automated decision support. Findings reveal that historical data-based optimization represents transformative advancement from experience-based scheduling to evidence-driven operational planning supporting port efficiency enhancement, capacity maximization, and service reliability improvement. This research contributes to port operations literature by providing practical frameworks for data-driven berthing optimization applicable to diverse port operational contexts.

This research explores the development of a participatory governance model for community based waste management systems, aiming to enhance both legal compliance and public social welfare outcomes. Community based waste management (CBWM) plays a critical role in addressing environmental and health challenges, yet its success is often hindered by weak governance structures, limited community involvement, and insufficient regulatory frameworks. The study introduces a governance model that integrates local community participation into decision making processes, encouraging ownership and responsibility among residents. The primary goal is to improve compliance with environmental regulations while promoting social welfare by fostering better public health and community cohesion. A review of literature highlights key theories of participatory governance, focusing on its ability to enhance legal adherence and increase social equity. Previous studies on CBWM demonstrate the potential of community involvement in overcoming barriers to legal compliance, such as weak enforcement and fragmented governance. However, challenges like inadequate infrastructure, socio economic factors, and cultural habits still impede full participation and compliance. The study utilizes a mixed methods approach, including stakeholder analysis, participatory workshops, and regulatory compliance assessments, to evaluate the effectiveness of the model. The results show that communities involved in participatory governance exhibit higher compliance with waste management laws, improved sanitation, and healthier living conditions. Furthermore, the model fosters social capital and community empowerment, contributing to long term sustainability. In comparison to centralized waste management systems, the participatory approach is found to be more adaptable, accountable, and socially accepted. While the model presents several benefits, challenges such as infrastructure limitations and cultural barriers remain. Future research should further investigate how to address these challenges, particularly through technological integration and cross sector collaborations, to ensure the scalability and sustainability of the participatory governance model.

Rapid This study examines the effectiveness of environmental legal instruments in addressing water access inequalities in multicultural rural communities. Despite the existence of various legal frameworks, disparities in water access remain prevalent, especially in rural areas where socio economic, cultural, and governance challenges persist. Legal instruments such as the Water Framework Directive (WFD) and the Clean Water Act (CWA) have proven effective in improving water quality and access in urban settings, but their impact in rural communities is often limited. The study explores the role of legal pluralism, where both statutory and customary laws coexist, in enhancing water governance. It also evaluates the importance of integrating cultural sensitivity into legal frameworks to foster community participation and sustainable water management. Through a mixed methods approach combining legal analysis and socio economic assessments, this study provides insights into the barriers to effective water governance and proposes policy recommendations for improving water access. Key findings suggest that inclusive governance models, which respect local customs and empower communities, lead to more sustainable and equitable water management outcomes. The study highlights the need for legal reforms that recognize the diverse cultural, governance, and infrastructural contexts of rural communities, ensuring that water access policies are both culturally adaptive and legally effective. By integrating these approaches, future policies can more effectively tackle water access inequalities in multicultural rural settings.  

Measurement learning is a fundamental and applicable mathematical topic in everyday life, but it often causes learning difficulties for students, especially in understanding the meaning of units, relationships between quantities, and the conceptual measurement process. These difficulties are not only caused by students' limited cognitive abilities, but also by learning designs that do not fully facilitate social interaction and student learning development. This study aims to reconstruct the contextual didactic design in measurement learning by reviewing the role of social interaction and the Zone of Proximal Development (ZPD) in the student learning process. This study uses a qualitative approach with the type of Didactic Design Research (DDR). The research stages include analysis of the initial didactic situation to identify student learning barriers, implementation of contextual didactic design in measurement learning, and retrospective analysis of student responses as a basis for reconstructing the didactic design. Data were collected through learning observations, analysis of student work results, interviews, and learning documentation. Data analysis was carried out qualitatively by examining social interaction patterns, forms of scaffolding, and student movements in the Zone of Proximal Development. The results of this study indicate that understanding of measurement concepts develops through social interactions between students and between students and teachers within a meaningful learning context. Social interactions and scaffolding provided gradually can encourage students to move from actual abilities to potential abilities within the Zone of Proximal Development. Retrospective analysis indicates that reconstruction of the didactic design is necessary to refine the learning context, activity sequence, and scaffolding strategies to better align with students' learning characteristics. The reconstruction of the didactic design can reduce learning barriers and improve the quality of students' conceptual understanding in measurement learning. This research provides theoretical contributions to the study of social constructivism-based mathematics education and provides practical implications for teachers in designing measurement learning that is more responsive to social interactions and student learning development.

Language barriers represent one of the most significant obstacles to educational equity and access worldwide. This study investigates the application of Natural Language Processing (NLP) technologies in multilingual educational contexts to facilitate cross-linguistic learning and improve educational outcomes for linguistically diverse student populations. We implemented and evaluated a comprehensive NLP-powered multilingual learning platform across 47 educational institutions in 12 countries, serving 8,450 students speaking 23 different languages. Our experimental framework integrated machine translation, speech recognition, multilingual content generation, and adaptive language learning algorithms. Results demonstrate that NLP-enhanced multilingual education improved student comprehension by 43.6% (p<0.001), increased participation rates by 67.8%, and reduced achievement gaps between native and non-native speakers by 52.4%. Students using NLP-assisted learning tools achieved test scores averaging 78.3% compared to 54.7% for control groups. However, challenges persist regarding cultural context preservation, idiomatic expression handling, and equitable performance across language families. This research provides evidence that NLP technologies can effectively democratize education across linguistic boundaries while identifying critical areas requiring continued development.

Effective communication is a key competency for medical professionals, but traditional classroom-based methods in Indonesia face challenges such as limited practice, geographical barriers, and insufficient exposure to diverse patient scenarios. Mobile-assisted learning (MAL) offers a promising solution to enhance medical communication training outside traditional settings. This study investigates the effectiveness of MAL interventions in developing communication skills among Indonesian medical students and healthcare professionals. A mixed-methods approach was used, involving a quasi-experimental design with pre- and post-assessments of communication competence among 180 participants from three Indonesian medical schools. The MAL intervention included a mobile app with video demonstrations, interactive case scenarios, peer feedback, and microlearning modules. Quantitative data showed a significant improvement in communication competence (mean increase of 23.4%, p<0.001), with notable gains in information gathering (28%), relationship building (26%), and patient education (21%). The mobile platform saw high engagement (average of 4.3 sessions/week) and 87% module completion. Qualitative data revealed increased confidence in consultations, improved cultural sensitivity, and better time management. Challenges included inconsistent internet access, varying digital literacy, and resistance from traditional educators. MAL shows potential for improving medical communication in Indonesia, offering flexible, accessible training. Successful implementation requires addressing infrastructure issues, integrating MAL into existing curricula, and training faculty. This study adds to the growing evidence supporting technology-enhanced medical education in resource-limited settings.

Heritage language loss among immigrant and diaspora communities represents a critical challenge to cultural identity, intergenerational communication, and cognitive diversity. Traditional heritage language maintenance approaches face significant barriers including limited resources, lack of qualified instructors, geographic dispersion, and competing demands of dominant language acquisition. This study investigates the effectiveness of bilingual digital story applications as innovative tools for heritage language maintenance among children aged 4-12 years. Through a 24-month longitudinal mixed-methods study involving 1,843 families across eight language communities (Spanish, Mandarin, Arabic, Korean, Tagalog, Vietnamese, Hindi, and Polish), we examined language proficiency development, cultural identity formation, family engagement patterns, and app usage behaviors. Quantitative analysis of pre- and post-intervention language assessments revealed statistically significant improvements in heritage language vocabulary (effect size d=0.68), listening comprehension (d=0.54), and oral production (d=0.47) among children using bilingual story apps for at least 20 minutes daily. Qualitative findings from parent interviews and child focus groups highlighted the apps' role in making heritage language learning enjoyable, facilitating parent-child interaction, connecting children to cultural narratives, and normalizing bilingualism. However, effectiveness varied substantially based on app design features, with interactive elements, culturally authentic content, parent involvement scaffolds, and adaptive difficulty showing strongest associations with outcomes. This research demonstrates that thoughtfully designed bilingual story apps can serve as accessible, scalable tools for heritage language maintenance, though they function most effectively as complements to rather than substitutes for rich home language environments and community connections. The study contributes empirical evidence to inform app development, family language planning, and policies supporting linguistic diversity in increasingly globalized societies.