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The internationalization of micro, small, and medium-sized enterprises (MSMEs) has become a strategic issue in addressing global economic dynamics, particularly within the framework of the Global Value Chain (GVC) in the digital age. Although Indonesian MSMEs have great potential to support the national economy, their level of involvement in the global value chain remains relatively limited. This study aims to analyze the challenges and strategies for the internationalization of Indonesian MSMEs within the GVC in the digital age. The study employs a qualitative approach using a case study design, along with thematic analysis and value chain analysis techniques. The findings indicate that MSMEs are already involved in the GVC across various stages of the value chain—from raw material processing to global distribution—yet they continue to face numerous challenges, such as technological limitations, human resource competencies, production capacity, and international distribution networks. On the other hand, digitalization has proven to be a key factor in expanding access to global markets through the use of digital platforms. An effective internationalization strategy requires the integration of product innovation based on local resources, the utilization of digital technology, and the strengthening of global business networks. This study contributes to integrating the perspectives of GVCs, digitalization, and SME internationalization strategies into a comprehensive analytical framework, and provides practical implications for SME actors and policymakers in enhancing competitiveness in the global market

This study aims to evaluate the effectiveness of the e-monev application at the Jambi Province Public Works and Public Housing Agency (PUPR) and to identify the constraints encountered in its management. The research used a qualitative descriptive method with data collection through in-depth interviews, observation, and documentation involving seven informants directly engaged in the application's management and operation. The analysis framework adopts the e-government success element theory by Indrajit (2002), comprising three dimensions: Support, Capacity, and Value. The findings reveal that the Support dimension is already strong, marked by leadership commitment, annual socialization and training, clear policy directives, and effective inter-unit coordination. In the Capacity dimension, human resource competence is generally adequate; however, technical constraints such as network instability, system slowdowns during concurrent access, and dependency on external programmers remain significant challenges. The Value dimension confirms that the e-monev application provides positive contributions to reporting efficiency, real-time monitoring, and data-based decision-making. Nevertheless, the overall effectiveness has not yet reached the optimal level due to persistent technical and infrastructure constraints. This study is expected to serve as an empirical basis for improving the quality of digital monitoring and evaluation systems in regional government agencies.

This study aims to analyze public relations strategies in the implementation of the Mental Revolution Program through Instagram at the Coordinating Ministry for Human Development and Cultural Affairs of the Republic of Indonesia. The Mental Revolution represents an effort to transform public mindsets, attitudes, and behaviors based on the values of integrity, work ethic, and mutual cooperation in order to build a progressive and competitive nation. This research employs a descriptive qualitative approach with a case study method. Data were collected through observation, in-depth interviews, documentation, and triangulation to ensure comprehensive findings. The results indicate that the implemented public relations strategies have optimally utilized social media as a means of public communication, particularly in reaching younger audiences. These strategies include the development of positive content, cross-sector collaboration, and the use of media relations to expand information dissemination. The SWOT analysis reveals that the main strengths lie in effective team coordination, structured communication strategies, and a strong organizational culture, while weaknesses include limited human resources and insufficient technological support. Opportunities arise from extensive networks with various institutions and media, whereas threats stem from public perceptions and limited communication competencies. In practice, the Mental Revolution Program is implemented participatively through various initiatives such as Indonesia Serving, Clean, Orderly, Independent, and United, which are disseminated via Instagram. However, its implementation has not been evenly distributed across regions and has only reached approximately 70%, due to budget constraints and varying levels of commitment among local governments. Therefore, the success of this program largely depends on synergy among stakeholders and consistency in internalizing transformative values within society.

This study aims to analyze the budgeting activities of the Surabaya City Women's Empowerment, Child Protection, and Population Control and Family Planning Agency (DP3A-PPKB) in supporting stunting reduction, while evaluating policy effectiveness, efficiency, responsiveness, and accuracy through William N. Dunn's evaluation framework. A qualitative case study design was utilized, supported by document analysis of planning records, budget realizations, and stunting prevalence data from 2019–2024. Findings reveal that DP3A's budget allocation aligns with the regional development plan and facilitates family-based sensitive interventions. Despite the first-quarter 2025 realization reaching only 9.5% of the total IDR 58.3 billion, strategic programs persisted through cross-sectoral collaboration and adaptive implementation strategies involving multiple stakeholders. The study concludes that DP3A's contributions are indirect, contingent on inter-organizational synergy among regional apparatus units (OPD). Ultimately, stunting reduction success hinges not on budget magnitude alone, but on systemic integration, policy coordination, and sustained collaborative governance across sectors. These findings emphasize the importance of strengthening institutional networks to improve program effectiveness and long-term nutritional outcomes for children.

This study analyzes the implementation of public service innovation through the E-TTSP application at the Investment and One-Stop Integrated Services Agency (DPMPTSP) of Banten Province. Using a descriptive qualitative method, data were collected through interviews, observation, and document analysis. The results show that this digital system has significantly improved service quality and efficiency. Processing time was reduced from 7–14 days to only 2–5 days, while bureaucratic procedures were simplified. The system also enhances transparency, accountability, and accessibility, allowing users to apply online without visiting the office. Consequently, the investment climate improved, marked by a 28% increase in permit applications and a 35% rise in investment value within two years. However, challenges remain, including uneven network infrastructure, low digital literacy, and limited human resource capacity. It is recommended to improve infrastructure, provide continuous training, and intensify socialization. In conclusion, E-TTSP has delivered tangible benefits, yet sustainable development is necessary to ensure equal and optimal services for all.

Village regional information plays an important role in supporting community services and effective development planning. However, some rural areas still face limitations in information regarding hamlet boundaries and road access, including Lunto Barat Village, Lembah Segar District, Sawahlunto City. This Community Service Program (KKN) aimed to improve the availability and accessibility of village regional information through hamlet and road mapping activities. The methods applied included field observation, direct road data collection with village officials, preparation of hamlet maps, and environmental development activities through community-based planting. The results indicated that the mapping activities provided clearer information on hamlet boundaries and village road networks, thereby facilitating community access to regional information. Furthermore, the resulting village map helped both residents and visitors locate destinations more effectively. This program demonstrates that village mapping activities not only enhance access to regional information but also contribute to more structured and participatory village development.

Village regional information plays an important role in supporting community services and effective development planning. However, some rural areas still face limitations in information regarding hamlet boundaries and road access, including Lunto Barat Village, Lembah Segar District, Sawahlunto City. This Community Service Program (KKN) aimed to improve the availability and accessibility of village regional information through hamlet and road mapping activities. The methods applied included field observation, direct road data collection with village officials, preparation of hamlet maps, and environmental development activities through community-based planting. The results indicated that the mapping activities provided clearer information on hamlet boundaries and village road networks, thereby facilitating community access to regional information. Furthermore, the resulting village map helped both residents and visitors locate destinations more effectively. This program demonstrates that village mapping activities not only enhance access to regional information but also contribute to more structured and participatory village development.

Cervical cancer is one of the most common cancers worldwide and is largely caused by Human Papillomavirus (HPV) infection, particularly types 16 and 18. The development of this cancer is influenced by the E6 and E7 oncoproteins, which disrupt the function of p53 and Rb proteins, as well as the involvement of cellular signaling pathways such as PI3K/AKT/mTOR and EGFR. Limitations of conventional therapies, such as resistance and side effects, drive the need for more targeted and selective therapeutic agents. This study aims to analyze the main molecular targets of cervical cancer and the medicinal chemistry approaches used in its therapeutic development. The method involved a review of 12 open access articles using molecular docking, molecular dynamics, QSAR, and network pharmacology approaches. The findings identified two main target groups: viral targets comprising the HPV E6 and E7 oncoproteins, and cellular targets including the PI3K/AKT/mTOR pathway, EGFR, PARP1, CDK1, and VEGFR. Various medicinal chemistry strategies, from structure-based and ligand-based drug design to multi-target network pharmacology approaches, proved effective in identifying potential inhibitor candidates. Bioactive compounds such as quercetin, gossypol, bixin, and rutin demonstrated stable interactions with these targets. However, further experimental validation is needed to support the development of clinically effective and safe therapies.

 Cryptocurrency price prediction, particularly for highly volatile assets like Solana (SOL), is a crucial challenge in time series data analysis in digital finance. This study aims to compare the performance of the XGBoost machine learning algorithm with the Temporal Fusion Transformer (TFT) deep learning model in predicting Solana's daily closing price. The dataset used consists of historical Solana price data and network fundamentals data in the form of Total Value Locked (TVL). The research process includes data preprocessing, dividing training and test data, model training, and evaluation using the Root Mean Squared Error (RMSE) metric. The results show that using the same-day price feature has the potential to cause target leakage, resulting in invalid prediction accuracy. In testing using pure historical data without data leakage, the XGBoost model performed better than TFT with an RMSE of 4.27, while TFT produced an RMSE of 18.59. Furthermore, the integration of network fundamentals data in the form of TVL did not improve prediction accuracy and even caused a decrease in performance for the XGBoost model with an RMSE of 7.10. The results of this study show that the use of historical price action features is more effective than fundamental network indicators for short-term daily Solana price predictions.

The Sehat Indonesiaku (ASIK) Application is a key policy instrument of Indonesia's Ministry of Health designed to improve community health data management, particularly toddler data in Integrated Service Posts (Posyandu). However, implementation at the village level continues to face operational challenges. This study analyzes the implementation of the ASIK program in managing toddler data at Posyandu in Kebonsari Village, Sidoarjo Regency, using George C. Edward III's policy implementation framework. A descriptive qualitative approach was employed, with data collected through in-depth interviews, observation, and documentation from purposively selected informants comprising Posyandu cadres, public health center midwives, and village officials. Data were analyzed using the interactive model of Miles, Huberman, and Saldaña (2014). Findings reveal that ASIK implementation has not been optimal due to constraints across all four Edward III variables: uneven program socialization (communication), limited digital literacy and inadequate device-network infrastructure (resources), dual manual-digital recording workloads (disposition), and over-reliance on core cadres (bureaucratic structure). Nonetheless, adaptive responses including continuous training, structured task delegation, and village government support have been established. This study highlights that the success of ASIK implementation fundamentally depends on human resource readiness, effective policy communication, and institutional support at the local level.

The increasing complexity of urban road networks demands intelligent navigation systems capable of determining optimal routes efficiently. This research implements the Dijkstra Shortest Path algorithm to optimize route search on a location navigation system in Medan City. The system models a road network as a weighted graph comprising 57 strategic locations and over 90 road connections, represented using adjacency list data structures. The Dijkstra algorithm, implemented in Python using the heapq module for priority queue management, achieves an optimal time complexity of O((V+E) log V). The system features five main functions: shortest route search, popular routes, location listing, dynamic location addition, and dynamic road connection addition. System testing using a case study from Kualanamu Airport to the University of North Sumatra (USU) yielded an optimal route of 16.5 km through 4 road segments. Results demonstrate that the system successfully determines the most efficient route, provides accurate distance and travel time information for multiple transport modes (motorcycle, car, walking), and presents step-by-step journey guidance. This research contributes as a practical reference for applying shortest path algorithms in urban areas and serves as a foundation for developing more complex navigation applications in the future.

Households in Yabansai Urban Village, Heram District, Jayapura City, experience recurrent clean-water shortages as the Kampwolker River, the raw-water source of PDAM UPP Waena, discharges decline. This study examines the supply-demand balance of clean water and community adaptation strategies in meeting household water needs. Demand was calculated using the Directorate General of Cipta Karya (1998) standard for a subdistrict town (90-100 L/person/day). Primary data were collected through semi-structured interviews with 60 households across 12 RWs and two PDAM staff, supported by field observations of the intake, distribution network, boreholes, and household storage facilities. The results show that Yabansai's demand is 1,582,650-1,758,500 L/day, while PDAM UPP Waena's net distribution capacity is 2,268,000 L/day in the wet season and 1,008,000 L/day in the dry season. Because this capacity serves several areas, the wet-season surplus is only nominal, and the dry-season capacity is insufficient even for Yabansai alone. Despite this structural shortfall, 61.7% of respondents rate water availability as "Very Sufficient": community practices (water storage, rainwater harvesting, boreholes, water purchase) form an adaptive equilibrium that sustains daily activities but remains costly and vulnerable. The study recommends watershed rehabilitation, source diversification, distribution transparency, and network extension to unserved RWs.

This study aims to analyze the effectiveness of the e-SIDAK application as a tool for recording and evaluating the performance of civil servants at BKPSDM Belitung Regency. The research employs a descriptive qualitative approach with 12 purposively selected informants, including managers, administrators, and application users. Data were collected through semi-structured interviews, observations, and documentation, and analyzed thematically using NVivo 12 Pro based on the digital service effectiveness indicators proposed by Pedrosa et al., namely ease of use, simplicity, understandability, consistency, trustworthiness, availability, speed, and usefulness. The findings indicate that the e-SIDAK application fulfills most effectiveness indicators, particularly in terms of ease of use, process simplicity, clarity of information, interface consistency, and service usefulness. The application facilitates systematic work activity recording, simplifies reporting, improves employee discipline, and supports performance monitoring integrated with the employee performance allowance system. However, its effectiveness remains limited in terms of system reliability, service availability, and access speed due to server capacity constraints, network conditions, and the accumulation of data input at the end of reporting periods. In addition, the point-based evaluation system has not fully reflected task duration, complexity, and workload. This study recommends strengthening system infrastructure, developing user guidelines, regulating input timing, and improving the point-based evaluation system to enhance digital service effectiveness in local government institutions.

The objective of this study is to develop a theoretical framework that can be used to identify the key resources and capabilities involved in the globalization process. This case study aims to examine how export-oriented small businesses in Indonesia achieve success at the international level. To obtain qualitative data, in-depth interviews were conducted with the Makmur Susanti Group, an MSME in Tulungagung, East Java. This study, based on the Resource-Based View (RBV), demonstrates how dynamic capabilities in production, networking, marketing, learning, legal, and synergistic areas contribute to the formation of competitive advantages that support business sustainability and continuity. The study indicates that success in internationalization requires a combination of capabilities that can meet market needs, rather than a single capability. This study contributes to the literature by offering a comprehensive framework of the internationalization process and providing practical insights for policymakers and practitioners aiming to enhance the competitiveness of SMEs. The research findings underscore the importance of capability development and government support in facilitating the global expansion of SMEs. Ultimately, this study provides a foundation for further investigation into the dynamic capabilities required for SMEs to thrive in international markets.

The management of nonformal education programs increasingly demands socially grounded approaches capable of fostering inclusivity, sustainability, and community empowerment. This study aims to analyze the concept and implementation of social-based management within nonformal education systems, emphasizing participatory governance, social capital, and collaborative learning as strategic components of effective program administration. Employing a qualitative narrative review methodology, this research synthesizes empirical and conceptual findings from peer-reviewed studies published between 2018 and 2025 to identify dominant themes, theoretical orientations, and emerging innovations in the field. The results reveal that social-based management strengthens institutional accountability,enhances program sustainability, and promotes shared ownership among community stakeholders. The integration of participatory management and social capital theories provides a conceptual foundation for improving nonformal education governance through collaboration, trust networks, and local knowledge mobilization. The study contributes theoretically by refining the framework of participatory educational management, and practically by offering guidance for policymakers and practitioners in designing community-driven education programs. These findings underscore the importance of socially embedded governance as a pathway toward inclusive, adaptive, and transformative nonformal education.

This study aims to design and develop an Augmented Reality (AR)-based application for real-time data monitoring of an automatic weather station at PT. XYZ. The system was developed using a prototyping method, involving five key stages: sensor data acquisition via CBOX devices and the Modbus RTU protocol, data transmission through a Flask-based Web API, storage in a MySQL database, QR code-based target image creation using the Vuforia Engine, and a 3D visualization interface developed with Unity integrated with the Vuforia SDK on Android devices. The system successfully received and stored weather data—such as temperature, humidity, and wind speed—into the MySQL database. The AR application also displayed a stable 3D interface panel over QR code markers, providing real-time data updates through an HTTP-based mechanism. This research demonstrates the successful integration of SCADA, Flask, MySQL, and Unity, enhancing both the functionality and commercial appeal of PT. XYZ’s weather station products. Future research should focus on field testing, cloud network integration, and device compatibility.

This community service program aimed to strengthen the capacity of economic institutions and community business groups in villages and urban areas within the OVOP program locations in East Flores Regency. The program responded to the growing need for adaptive business strategies in the digital era and the importance of developing local potential into competitive products. It was implemented through a participatory, educative, and applicative approach during September 8–12, 2025. The training methods included lectures, interactive discussions, case studies, hands-on practice, and simulations to ensure a balance between theoretical understanding and practical application. The findings indicate significant improvements in participants’ understanding of the OVOP concept, managerial competencies, financial administration, and technical skills in product processing, packaging, and labeling. In addition, participants demonstrated increased awareness and ability in applying digital marketing strategies to expand market reach. The program also fostered stronger collaboration networks among business groups, economic institutions, and local government stakeholders. High participant engagement and active involvement throughout the sessions reflect the effectiveness of the training design. Overall, this program contributes to enhancing local economic resilience and promoting sustainable, competitive, and community-based enterprises. The study highlights the importance of continuous mentoring, institutional strengthening, and policy support to sustain the long-term impact of capacity-building initiatives in rural and semi-urban areas.

Desa Motu is an area that experiences limited internet access due to the unavailability of conventional ISP services and weak cellular signal coverage. This study aims to develop a community-based RT/RW Net network system to provide internet access by utilizing Starlink as the main ISP and distributing connectivity through networking devices such as MikroTik routers, access points, switches, and fiber optic media. Network testing was conducted by measuring download and upload speeds using network testing ap-plications, evaluating connection stability through latency (ping) measurements, and assessing signal coverage at several user locations. The results show that the implemented RT/RW Net network is able to provide a stable internet connection with consistent speeds at different testing times, as well as optimal signal distribution across multiple measurement points. The authentication system using vouchers, PPPoE, hotspot login, and MAC Binding functions properly, and the free educational access feature also operates effectively. These findings indicate that the RT/RW Net–based community network model can serve as an affordable and sustainable solution for expanding internet access in rural areas.

Communication is an essential human right, yet a significant communication gap persists between individuals with sensory disabilities, specifically the deaf and speech-impaired, and the general public. While many technological solutions have been proposed to translate sign language, existing models primarily rely on heavy deep learning architectures such as Convolutional Neural Networks (CNN) or Recurrent Neural Networks (RNN/LSTM). These models often demand high computational power, leading to latency and limiting real-time application on standard devices. This study proposes a lightweight, fast, and highly responsive sign language translation system specifically designed to recognize static alphabets (A-Z) and single-character air writing. The system utilizes MediaPipe for hand tracking, where feature extraction is intelligently processed by calculating the relative spatial coordinates of fingertips to the wrist, reducing dependency on raw camera coordinates. Classification is performed using a Support Vector Machine (SVM) with a Radial Basis Function (RBF) kernel, prioritizing computational efficiency without sacrificing accuracy. To enhance user experience, the system introduces three key novelties: smart relative feature extraction, an anti-duplication hold system with a 1-second timer to prevent input spamming, and a non-blocking multithreaded audio execution (Daemon Thread) utilizing Google Text-to-Speech (gTTS), ensuring the webcam feed remains fluid during audio playback. Additionally, an alternative air-writing mode is integrated, utilizing geometric heuristics and PyTesseract OCR to read single drawn letters in the air. The results indicate that the proposed system operates swiftly and efficiently, bridging the communication barrier with a hardware-friendly approach.

Islamization in Sambas, West Kalimantan, represents a historical and evolving process influenced by trade routes, the political dynamics of local kingdoms, and the transmission of Islamic knowledge through networks of scholars and local intellectuals. This process extended beyond the mere dissemination of religious teachings, encompassing significant social, cultural, and educational transformations within the community. A central figure in this Islamization process was Muhammad Basiuni Imran (1885–1976), the Maharaja Imam of the Sambas Sultanate, who played a pivotal role in reforming Islamic education and strengthening religious understanding among the local population. This article employs a historical-qualitative approach and library research to trace the trajectory of Islamization in Sambas while analyzing Basiuni Imran’s contributions within the socio-cultural context of the region. The findings reveal that Basiuni Imran’s thought reinforced Islamization through the modernization of Islamic education, the integration of Sharia with local customs, and the establishment of adaptive religious structures, thereby significantly shaping the religious life of the Sambas community from the colonial period to the early years of Indonesia’s independence.