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This study analyzes the similarities and differences between Japanese and Indonesian compound words, with particular attention to their structural patterns and semantic characteristics. The data were collected from official news websites in Japan and Indonesia, including Asahi Shinbun and Kompas, through observation and note-taking techniques. The collected data were analyzed through the distributional method, and the contrastive analysis was conducted based on morphological theories proposed by Chaer (2015), Katamba (2018), and Kageyama (2016). The findings reveal that ten Japanese and Indonesian compound words share equivalent meanings. From a structural perspective, both languages exhibit various types of compound formations, including noun, adjective, and verb compounds. A notable structural difference is that Japanese compound words may undergo a phonological process known as rendaku. From a semantic perspective, compound words in both languages may be categorized as endocentric and exocentric. However, some compounds do not share the same idiomatic meanings, even though they are constructed from identical lexemes in each language.  

Durian Bhineka Bawor is one of the leading local commodities of Alasmalang Village with high economic potential. However, product promotion and marketing activities are still dominated by conventional methods and limited local networks, resulting in restricted market access, low competitiveness, and the absence of structured product information documentation. This community service program aims to address these challenges through the implementation of an interactive website integrated with an AI Agent, serving as a centralized information platform as well as a digital product ordering service. The main objectives of this program are to strengthen local durian branding through the utilization of modern digital technology, expand market reach, and enhance community digital literacy. The implementation method was carried out in several stages, including program coordination and socialization, content needs assessment, website design and development, AI Agent and WhatsApp server integration, system testing, manager training, official deployment, and continuous assistance. The AI Agent provides interactive services in the form of product information delivery, personalized recommendations, and order facilitation directly connected to the admin dashboard and social media platforms, thereby accelerating transaction processes and improving consumer experience. The expected outcomes of this program include the establishment of a more professional, transparent, and efficient promotion and ordering system for Durian Bhineka Bawor products. The developed platform is expected to expand market access, increase product sales, and create new digital-based business opportunities. Furthermore, this program contributes to community empowerment by improving digital skills and technology management capabilities to support local economic independence and competitiveness.

This study presents ReflectAI, a web-based system designed to automate the creation of teaching materials tailored to students' learning styles using behavior data from a Learning Management System (LMS). Student digital activity data—such as logins, material access, forum participation, assignment submission, and quiz results—are extracted and processed using a Hierarchical Clustering algorithm to categorize students into three learning styles: visual, auditory, and kinesthetic. Based on the clustering results, the system automatically generates personalized learning modules using generative AI (ChatGPT API), aligned with each student's learning preferences. Employing a data-driven system development approach, the system was tested with data from 230 students in a mathematics course. The results show diverse learning style distributions and relevant, tailored content generation. ReflectAI is designed to reduce teachers’ administrative workload and enhance personalized and adaptive learning. This system contributes to educational transformation through deep, data-driven technology integration.

PT. XYZ is one of the largest retail companies in Indonesia. PT. XYZ has a website-based application that functions to help employees who work in IT Support to handle operational problems. However, this website has not implemented a session management system which can affect the level of security. Therefore, a system design was created for real-time session management using Firestore, Python, and Javascript. Firestore is used as a database to store sessions and Firestore has a feature called the Firestore snapshot listener which functions to detect changes in real-time. The research method includes identifying needs, initial prototype design, prototype creation, prototype evaluation, prototype refinement, and system implementation. Black Box Testing is used as a method for testing this system, where the results are in accordance with the needs and interviews are conducted with the admin of this website to test the session management system and find out the admin's response regarding the designed session management system. The results obtained are satisfactory because security can be further improved, user experience is improved, and the company's needs can be achieved.

Software Defined Network is a popular computer network concept today because of the ease of managing network traffic with the control plane. Massive internet usage makes web server services on SDN networks overloaded. There are many load balancing concepts to overcome this problem, one of which is implementing the K-NN algorithm. This study aims to maximize the performance of the K-NN algorithm on SDN networks by optimizing the K value using Grid Search Cross Validation, and adding server status selection logic based on the smallest disk if the server status calculated by K-NN has the same. All implementations of the load balancing concept in this study were created virtually using Open vSwitch and virtualbox. Testing was carried out using CPU, MEMORY, and DISK parameters sent by the server with the help of the psutils component. JMeter software was used for testing by sending data using the POST method. The data type is text/plain with a data size of 1MB, testing was carried out in stages with threads 100, 200, 300, 400. The test results showed that the performance of the K-NN algorithm was running optimally. There was no significant difference in the distribution of the load to the server, this made the optimization and addition of logic successful.

Gethsemane Salatiga website using Jakob Nielsen’s heuristic evaluation method combined with a triangulation approach. The evaluation involved 20 respondents, consisting of 7 UI/UX experts and 13 general users and guests, who assessed the website based on Nielsen’s ten heuristic principles, including visibility of system status, match between system and the real world, user control and freedom, consistency and standards, error prevention, recognition rather than recall, flexibility and efficiency of use, aesthetic and minimalist design, error recovery, and help and documentation. To minimize potential bias, the study integrated heuristic evaluation with user context analysis and empirical validation through usability testing, thereby providing a more comprehensive assessment. The results indicate that the overall UI/UX quality of the website is relatively good, with average scores ranging from 3 to 4 on a 5-point scale. Most identified issues fall within minor to moderate severity levels, with no critical problems affecting core functionalities. Consistency and standards received the highest average score (4.0), while alignment with user expectations and visual comfort still need improvement. Recommendations include enhancing system feedback, strengthening error prevention mechanisms, and improving help and documentation features. The differences in assessments between expert and non-expert respondents highlight the importance of professional evaluation in identifying usability issues. This study contributes to the refinement of a more reliable and contextually relevant UI/UX evaluation framework, particularly within the hospitality and tourism sector.

Best graduate selection is crucial for academic achievement and contributes to the accreditation value of the institution. Instituto Profissional de Canossa (IPDC) is a higher education institution founded by the Canossian Sisters in Timor-Leste. To improve the effectiveness of assessment and decision-making processes, an information system is needed to assist in selecting the best graduates based on multiple criteria. This research develops a web-based Decision Support System (DSS) using the Multi-Attribute Utility Theory (MAUT) method. MAUT is a multi-criteria decision-making method that evaluates alternatives based on their utility scores across several criteria. The study uses four main criteria: attendance, academic performance, ethics, and discipline. The system is implemented as a web application for universal access. The MAUT calculation results provide valid and accurate recommendations for the best graduates. System testing showed that the application successfully ranked candidates based on defined weights and criteria, providing objective and consistent selection results.

This research is driven by the urgency of maintaining the quality of the Indonesian language in the realm of online journalism, particularly on major media platforms such as CNN Indonesia. Online media plays a central role as the primary source of information, but the speed of publication often encounters linguistic errors that have the potential to damage credibility and lead to misinterpretation among readers. The focus of the study on syntactic errors is crucial because errors in sentence structure, diction, and conjunctions directly affect the meaning and effectiveness of communication. This study aims to analyze and describe the forms of syntactic errors (including sentence pattern errors, non-standard diction, and conjunction redundancy) and offer recommendations for improvement based on standard Indonesian language rules. The method used is a qualitative descriptive approach with a syntactic approach. Data in the form of linguistic units at the phrase, clause, and sentence levels from all CNN Indonesia news texts for the period of August 2025, collected using the Listen and Note Technique. The findings are anticipated to show a dominance of sentence ineffectiveness, incorrect use of conjunctions, and temporally illogical diction errors. This research is expected to contribute as a practical guide for editors and news writers to improve the quality of editing, while also supporting literacy efforts and the use of good and correct Indonesian in the digital public space.

This study aims to analyze and identify various types of phrases found in educational opinion texts published on the Pundi.or.id website, 2025 edition. The research is based on the importance of syntactic understanding, particularly the use of phrases, in constructing effective and meaningful sentence structures in opinion texts. A qualitative descriptive method was applied using the observation and note-taking technique. The data were collected by examining, recording, and classifying different types of phrases, including nominal, verbal, adjectival, numerical, and adverbial phrases. The findings reveal that each type of phrase functions differently in shaping sentence meaning and enhancing the clarity of the writer’s arguments. Nominal and verbal phrases were found to dominate the texts, indicating their significant role in presenting ideas and logical reasoning. This research contributes to the development of syntactic studies and provides practical benefits for teachers and students in learning Indonesian, especially in mastering sentence structure and improving opinion writing skills. Furthermore, the study serves as a reference for future linguistic research within the context of digital media and education.

This study aims to analyze the performance of Android-based attendance applications used at PT PLN ULP West Sumba by integrating two evaluation methods, namely WebQual 4.0 and Importance Performance Analysis (IPA). This attendance application functions to monitor employee attendance digitally so that it is expected to be able to improve the efficiency and accuracy of data recording. Evaluations are conducted to assess the extent to which the application meets the needs of users as well as the expected performance. WebQual 4.0 is used to measure the quality of user experience in terms of ease of access, interactivity, trust, and satisfaction, while IPA is used to compare the level of user interest with application performance based on four main attributes: system quality, information quality, service quality, and usage quality. The research data was collected through a survey with questionnaires compiled according to WebQual 4.0 and IPA indicators, involving application users at PT PLN ULP West Sumba. The results show that the majority of users are satisfied with the ease of use and performance of the application, but there are aspects that need to be improved, especially the speed of the system and a more user-friendly interface design. The science analysis emphasizes that the quality of systems and information is a crucial factor that must be a priority for development. This research provides strategic recommendations for PT PLN ULP West Sumba to improve the performance of the attendance application and support the company's operational needs in a sustainable manner.

The rapid expansion of internet usage has led to a significant increase in cybersecurity threats, particularly phishing attacks delivered through malicious links. Phishing links are designed to imitate legitimate websites in order to deceive users and steal sensitive information. This study presents the implementation of a phishing link detection website based on SSL validation and URL scoring mechanisms. The proposed system integrates heuristic-based URL analysis with real-time SSL certificate validation obtained through the SSL handshake process. Digital certificates are verified using RSA-based digital signature verification issued by trusted Certificate Authorities (CAs). In addition, the SHA-256 hash algorithm is employed to generate certificate fingerprints and URL hashes to ensure data integrity and uniqueness. The system also evaluates HTTPS usage, domain and certificate consistency, certificate validity period, and RSA public key strength. All validation results are processed using a URL scoring system to generate a security score ranging from 0 to 100, which classifies links into safe, suspicious, or dangerous categories. Experimental results demonstrate that the proposed website is capable of effectively identifying phishing indicators and providing transparent cryptographic evidence in real time. This approach can assist users in making informed decisions and improving protection against phishing threats in web environments.

The development of automation and robotics technology has driven innovation in various industrial fields, particularly in automatic sorting systems. Manual sorting processes often lead to inefficiencies and human errors, creating the need for an automatic, fast, and accurate system. This research employs a qualitative method which includes experimentation, testing, and system documentation. The system is designed as a robotic arm for sorting objects based on color, utilizing a TCS3200 color sensor and an ESP32 microcontroller. An ultrasonic sensor detects the presence of objects, while the sorting results are displayed through a real-time web monitoring system. The test results show that the prototype successfully sorts four primary colors (red, green, blue, and yellow) with a high level of accuracy. This research is expected to serve as a reference for the development of automation systems and robotics learning tools in both educational and industrial applications. In addition, this research also contributes to the development of technology that can increase efficiency and accuracy in industrial production processes and provide more environmentally friendly solutions by reducing the need for manual labor.

Critical reading is one of the important language skills that students need to acquire. Based on observational results, the critical reading skills of eleventh-grade students at SMA Muhammadiyah 1 Semarang have not yet reached an optimal level. Therefore, this study aims to examine the effectiveness of teaching critical reading of news texts using the OK5R and SQ3R methods assisted by the Wordwall website for eleventh-grade students. This study employed an experimental method with a quasi-experimental design, specifically a nonequivalent control group design. The research instruments consisted of test and non-test instruments. The test instrument was a written test, while the non-test instruments included observation sheets and interview guidelines. Data analysis was conducted through prerequisite analysis tests (normality and homogeneity tests), instrument validity testing, and hypothesis testing using paired sample t-tests, independent sample t-tests, and n-gain score analysis with the assistance of SPSS version 25. The results showed that the n-gain score of the experimental class I using the OK5R method was 0.3465, while the experimental class II using the SQ3R method obtained an n-gain score of 0.0660. Based on these findings, teaching critical reading of news texts using the OK5R method assisted by the Wordwall website was more effective than the SQ3R method. It can be concluded that the OK5R method assisted by the Wordwall website is effective for teaching critical reading of news texts to eleventh-grade students, whereas the SQ3R method assisted by the Wordwall website is less effective.

The aim of the research is to find out the process of developing knowledge learning media based on Android applications.Learning media is very much needed as a tool used in practical learning.Changes in educational progress require innovation in learning media to keep them up to dat and able to overcome new problems that arise. The research method used is the R & D research and development method with the 4D model. The stages of the 4D development model are 1) Definition; 2) Design; 3) Development; 4) Distribution. This research produces android-based textile knowledge learning media. The software used is iSpring Suite Toolkit Authoring based on Power Point; and Website 2 APK Builder.The iSpring Suit software is used in the design and development of learning media, while the Website 2 APK Builder software is used to change Android application programs. Based on the results of the learning media feasibility questionnaire, it can be seen that the textile knowledge learning media is very feasible to use, reaching 90%.

The success of Guidance and Counseling services relies heavily on adherence to fundamental principles such as confidentiality and voluntariness, yet field implementation faces complex challenges regarding educational levels and modern developments. This study aims to analyze the implementation of fundamental guidance and counseling principles and their relevance to religious value integration and technology adaptation. The method used is qualitative with a library research design, analyzing 20 scientific journal articles published between 2020 and 2025. The results show that the implementation of principles is dynamic. At the elementary level, the expertise principle is hindered by classroom teachers doubling roles, while secondary levels face service management challenges. Current relevance is realized through adapting the principle of currentness with web-based technology and the principle of normativeness through Islamic approaches. This study implies the need for strengthening counselor digital competence and providing professional personnel at the elementary level to ensure service integrity.

This research aims to design and build a web-based interactive photo booth application with layout, filter, and frame features using object-oriented programming concepts. The application was developed as an alternative solution to digital photo booths that can be accessed directly through a web browser without the need for additional installation. The system development method used is the Waterfall method which includes the stages of needs analysis, system design, implementation, and testing. The technology used in application development includes HTML, CSS, JavaScript, and the use of Web APIs to access the device's camera and process images in real-time. The results of the study show that this web-based photo booth application is able to run well on modern browsers, providing photo capture features, layout settings, filter application, and interactive frame addition. The implementation of object-oriented programming results in a more modular code structure, is easy to understand, and facilitates the development and maintenance of future systems. Thus, the developed application can become a practical, flexible, and easy-to-use digital photography medium.

The digital transformation of public service delivery has become a central agenda in contemporary public administration, positioning local governments as critical actors in translating national digital strategies into tangible, citizen-facing outcomes. Despite rapid diffusion of digital platforms and e-government initiatives, substantial variation persists in the performance, inclusiveness, and sustainability of digital public services across local contexts. This variation points to persistent challenges related to administrative capacity constraints within local governments and uneven levels of citizen readiness to access and use digital services. Addressing these challenges, this article presents a comprehensive literature review that aims to (1) map the conceptual evolution of digital public service delivery in local governments, (2) synthesize empirical findings on the roles of administrative capacity and citizen readiness, and (3) identify key theoretical and empirical gaps in the existing scholarship. Methodologically, the study adopts a systematic literature review approach, drawing on peer-reviewed journal articles published in the last five years and indexed in major academic databases, including Scopus, Web of Science, DOAJ, and Google Scholar. The selected literature is analyzed using thematic synthesis, guided by an integrated theoretical framework combining Digital Government Theory and Digital Era Governance as overarching transformation lenses, Administrative Capacity and Capacity Building Theory and Competency-Based Human Resource Management to explain organizational and human resource determinants, Digital Divide Theory and the Technology Acceptance Model to capture citizen-side readiness and adoption dynamics, and Policy Implementation Theory to account for institutional and regulatory mediation. The synthesis reveals several dominant patterns: digital service performance is strongly conditioned by leadership, coordination, information capacity, and workforce competencies; citizen uptake is shaped not only by access and skills but also by perceived usefulness, ease of use, and trust; and policy design and implementation processes mediate the interaction between supply-side capacity and demand-side readiness. Importantly, the review shows that these factors are mutually constitutive rather than independent, challenging linear and technology-centric models of digital transformation. The article concludes by advancing an integrative conceptual understanding of local digital public service delivery and by outlining theoretical implications for digital public administration research as well as practical policy recommendations for designing inclusive, capacity-sensitive, and sustainable digital public services at the local level.

Leadership training has become a key instrument in public sector reform, driven by expectations that public managers act as strategic leaders to improve organizational performance and public service delivery. However, despite substantial investments, public administration research consistently highlights a gap between leadership training participation and tangible service improvements, particularly in resource-constrained local governments. Existing studies often examine leadership training effectiveness, training transfer, organizational change, and administrative capacity separately, resulting in limited integration across these interconnected processes. This fragmentation restricts understanding of how leadership competencies gained through training are transferred into practice, institutionalized through post-training change initiatives (Aksi Perubahan), and translated into sustainable administrative capacity and service outcomes. To address this gap, this integrative literature review synthesizes and critically analyzes peer-reviewed research on public sector leadership training, focusing on training transfer mechanisms, action-based change initiatives, and administrative capacity development in local governments, using the Tambrauw Regency Government as an illustrative context. The review draws on articles indexed in Scopus, Web of Science, and Google Scholar published between 2016 and 2025, selected based on public sector relevance and theoretical rigor. Using thematic synthesis and conceptual mapping, the findings show that leadership training contributes to service improvement only when supported by a conducive transfer climate, strong organizational commitment, and structured change projects. These change initiatives mediate the transformation of individual competencies into organizational routines, while administrative capacity determines the sustainability of outcomes. The study contributes to administrative capacity theory and provides practical insights for designing effective leadership training policies in peripheral local government contexts.

The implementation of Electronic-Based Government Systems (Sistem Pemerintahan Berbasis Elektronik/SPBE) represents a strategic instrument of public administration reform aimed at improving service quality, efficiency, and governance through digital transformation. However, empirical evidence across countries indicates that the effectiveness of digital government initiatives is frequently constrained by persistent competency gaps among public sector personnel. This study conducts a thematic literature review to systematically identify, classify, and synthesize scholarly findings on competency gaps affecting SPBE and digital government implementation within the field of public administration. Drawing on peer-reviewed international literature published over the last decade and indexed in Scopus, Web of Science, and DOAJ, the review applies a narrative–synthetic approach supported by thematic analysis. The findings reveal four dominant dimensions of competency gaps: technical–digital competencies, managerial and digital leadership competencies, cross-sectoral collaborative competencies, and adaptive learning competencies. These gaps are shaped by interacting individual, organizational, and systemic factors, including misaligned human resource management practices, fragmented bureaucratic structures, and limited capacity-building mechanisms. Using Competency-Based Human Resource Management (CBHRM) as the primary analytical lens, and reinforced by Digital Government Theory, Digital Era Governance, and Capacity Building Theory, this study demonstrates that competency gaps are structural rather than merely individual deficiencies. The article contributes theoretically by integrating human resource and digital governance perspectives into a unified analytical framework, and practically by offering policy-relevant insights for strengthening public sector capacity and enhancing the sustainability of SPBE implementation.

This study aims to analyze the effect of e-commerce adoption on the sales performance of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. E- commerce adoption factors are measured through the dimensions of platform usage, technology integration, and digital marketing activities. Sales performance is assessed based on sales growth, market expansion, and increase in customer numbers. The research method uses a quantitative approach by distributing online questionnaires to 250 MSME owners in five major cities (Jakarta, Surabaya, Bandung, Medan, Makassar) who have used at least one e-commerce platform (such as Tokopedia, Shopee, Bukalapak, or a standalone website) for at least one year. Data were analyzed using multiple regression analysis techniques with the help of SPSS 25 software. The results show that e-commerce adoption has a significant positive effect on the sales performance of MSMEs. Specifically, technology integration (such as the use of inventory management and digital payment tools) and digital marketing activities (advertising and promotions on social media) are the most dominant factors. These findings provide practical implications for MSME owners and policymakers to further encourage digitalization by providing training and supporting infrastructure.