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The digital transformation of public administration in recent decades has reshaped government service delivery, particularly through the adoption of technology as a tool to enhance transparency, efficiency, and accountability. The implementation of the Online Single Submission–Risk Based Approach (OSS-RBA) represents Indonesia’s strategic effort to create an integrated licensing framework aligned with the principles of good governance. This study aims to analyze the forms of administrative responsibility in digital-based licensing services under OSS-RBA and examine the accountability mechanisms applicable when system failures affect legal certainty for business actors. The research employs a normative juridical method using statutory, conceptual, and case approaches through the examination of regulations, doctrines, and administrative court decisions. The findings indicate that digitalization does not alter the core of governmental responsibility, as every decision generated by the system is legally attributed to the competent administrative authority. The implementation of OSS-RBA still faces obstacles such as system errors, data inconsistencies between institutions, and delays in technical verification, all of which directly affect legal certainty and the quality of public services. Furthermore, internal and external oversight mechanisms are not yet fully effective in preventing maladministration, including unreasonable delays and inaccuracies in automated decision-making. The study also shows that business actors require more responsive administrative remedies to prevent technological risks from shifting entirely onto them. Therefore, this research concludes that the effectiveness of OSS-RBA depends on strengthening institutional capacity, harmonizing regulations, and ensuring the consistent application of good governance principles throughout all stages of digital licensing administration.  

This research aims to throughly explore the differentiation strategy model implemented by the small-medium enterprise (SME) grocery store of  "Yussandi Komunika," in integrating digital transaction services such as prepaid credits, electricity tokens, and e-wallet top-ups, as an effort to create a competitive advantage. The background of the problem is driven by the highly competitive conditions in densely populated areas, where traditional grocery stores are compelled to transform in order to maintain their business relevance.Digital service innovation, presented through an adaptive and user-focused platform, has proven to be a core competency that is difficult to imitate and rare, simultaneously providing a sustainable competitive advantage. This innovation not only addresses the challenges of densely populated conditions but also establishes a new standard for efficiency and customer experience in a competitive market.The effective differentiation model for multi-service grocery stores in highly competitive areas is not solely based on price, but rather on a combination of services and the quality of interpersonal service. The store transforms into a "mini service point" offering one-stop shopping convenience for customers. The main differentiation strategies identified include: (1) Core Service Differentiation (offering comprehensive PPOB (Payment Point Online Banking) services and e-wallet balance availability), (2) Personnel Differentiation (quality of communication and speed of friendly service), and (3) Image Differentiation (creating a perception as a trustworthy and modern store).  

This article discusses the development of an e-commerce website for a batik store as an effort to digitize marketing and improve operational efficiency. The study focuses on system development strategies, integration of essential features such as product catalogs, shopping carts, digital payment methods, and their impact on customer accessibility. A descriptive qualitative approach was used, employing observation, interviews with the store owner, and a literature review related to e-commerce and digital marketing for MSMEs. The analysis results show that the implementation of a web-based digital platform can expand market reach, enhance customer convenience in shopping, and support more organized and structured transaction recording. The website development was carried out using the Waterfall method to ensure a step-by-step and structured process. These findings indicate that digital transformation through an e-commerce website is a strategic solution for batik MSMEs in facing modern market challenges.

Digitalization demands the MSME sector, including barbershops, to adopt technology in reservation management and marketing. Many barbershops still use manual systems, causing problems such as irregular queues, service delays, and suboptimal promotions. This study formulates how to design an information system that can integrate reservation and marketing functions into a single web-based platform. The objective is to produce an efficient, secure, and user-friendly information system design for both barbershop managers and customers. The method used is the Design Science Research approach with a waterfall system development model, involving needs analysis, system design, database design, and user interface design. The design results were validated by experts and users with a satisfaction rate of over 85%, indicating that the designed system aligns with the operational needs of barbershops. The conclusion is that the developed information system can enhance operational efficiency and customer experience, and is suitable for implementation in the barbershop service sector of SMEs.

The student admission process in many educational institutions is still conducted manually, leading to issues such as data duplication, input errors, and delays in reporting. This study designs and implements a desktop-based student registration information system using VB.NET and MySQL, equipped with an admission-status checking feature and an automated quota-management module. The system was developed using the waterfall model, consisting of requirement analysis, system design using UML, implementation, and black-box testing. Two user roles are supported: admin and student. Admin users can manage applicant data, configure program quotas, open or close the registration period, and generate reports, while student users can create accounts, complete registration forms, and independently check their admission results. The implementation results show that all core functions operate validly based on testing involving two respondents. The quota-management feature successfully restricts the number of applicants according to predetermined capacities, and the admission-status module automatically displays pass or fail results. The system improves administrative efficiency, enhances data accuracy, and reduces reliance on manual record-keeping. Therefore, this desktop application serves as an effective solution for schools requiring a reliable and efficient admission management system without depending on stable internet connectivity.

This article discusses the modernity of educational instruments, along with the phenomenon of technological progress, particularly the emergence of artificial intelligence (AI), and its implications for educators in the 21st century. Rapid advances in AI have led to fundamental shifts in teaching strategies and resources, shifting from traditional models to personalized and adaptive learning environments. Through automated assessments, curriculum customization, and the implementation of virtual assistants that enhance accessibility, artificial intelligence (AI) in education aims to improve efficiency and effectiveness. However, this modernity requires educators in the 21st century to change. Teachers now play the role of facilitators, designers of learning experiences, and mentors in ethics, in addition to being providers of knowledge. Teachers need to master AI literacy and focus on teaching students the four Cs of the 21st century: communication, creativity, critical thinking, and teamwork. The integration of AI raises ethical issues related to data privacy, the digital divide, and the dangers of plagiarism, but it also offers significant potential. Therefore, the effective integration of AI technology with irreplaceable human qualities is crucial for the success of contemporary educational technology. AI is an important tool for educators in the 21st century to develop a generation of technologically literate and moral individuals.

This study examines the stock market reaction to the Christmas and New Year holidays by analyzing abnormal return and trading volume activity for companies consistently listed in the LQ45 Index during 2021–2023. Using a quantitative causal approach and an event study design, the research observes market behavior within a 10 day estimation window and a 10 8day event window surrounding the holiday period. The findings show that abnormal return exhibits limited but notable reactions, with a significant decline observed before the holiday, indicating that investors tend to reduce risk exposure prior to market closure. After the holiday, significant movements still appear, but they remain negative, suggesting that investor activity and confidence have not fully recovered. In contrast, trading volume activity does not show significant differences either before or after the holiday, implying that changes in prices are influenced more by sentiment and price adjustments rather than shifts in trading intensity. These results indicate that the Indonesian capital market demonstrates characteristics of a semi-strong form efficiency, where public information such as national holidays is largely anticipated and absorbed by the market.

This study aims to analyze the effectiveness of human resource (HR) governance in improving employee performance at the Serang City Cooperatives and SMEs Office in 2025. The research method used is a quantitative approach with a survey design, involving 100 employees as respondents. Data were collected through questionnaires and analyzed using multiple linear regression to test the effect of HR governance variables, which include planning, organizing, implementing, and supervising, on employee performance. The results of the study indicate that HR governance has a positive and significant influence on improving employee performance at the Serang City Cooperatives and SMEs Office. Specifically, clear HR planning, efficient organization, structured implementation, and effective supervision have been shown to increase employee productivity and work quality. The implication of this study is the importance of improving and strengthening HR governance as a strategy to improve employee performance, which ultimately can increase productivity, efficiency, and effectiveness in carrying out the duties and responsibilities of local government agencies.

This study aims to analyze business development strategies through a SWOT analysis approach for Patricia Aksesoris, focusing on understanding the internal and external conditions that influence business development. The analysis results show that Patricia Aksesoris has strengths in good product quality and a variety of attractive designs. However, this business also faces weaknesses, such as limitations in promotion and capital that can limit expansion. Opportunities that can be exploited include the growing trend in accessories and the great potential for marketing through digital platforms. On the other hand, the main threats faced are intense price competition and rapid changes in consumer tastes. Based on these findings, the recommended strategies to increase business competitiveness are strengthening marketing through social media, improving customer relationships, and improving operational management to achieve greater efficiency. With these strategies, Patricia Aksesoris can strengthen its position in the market and achieve sustainable growth.

Efficient and integrated public transportation services are a strategic need in sustainable urban development. The Surabaya City Government through the Transportation Department initiated the Wira-Wiri Feeder service on the Bratang-Pasar Turi route (FD07) as a feeder mode that connects densely active areas in the east and west of the city. This study aims to evaluate the implementation and performance of FD07 services using the public policy evaluation framework of William N. Dunn (2003) which includes the dimensions of effectiveness, efficiency, adequacy, justice, responsiveness, and policy accuracy. The research uses a descriptive qualitative approach with data collection techniques through field observations, in-depth interviews, and documentation studies. The results of the study show that the implementation of FD07 services has been running according to operational procedures with an average of 651 passengers per day, supported by field supervision and the Surabaya Integrated Urban Transport System (SIUTS) digital system. However, there are still obstacles in the form of limited fleet numbers, non-professional drivers, limitations of senior mechanics, and inadequate system development budgets. Dunn's six-dimensional evaluation shows that the effectiveness and efficiency of the service are in the medium category, with the main challenges being the accuracy of schedules and the accessibility of bus stop facilities for people with disabilities. This study concludes that improving the quality of human resources, adding fleets, strengthening digital systems, and massive public socialization are strategic steps to realize effective, inclusive, and sustainable feeder services in the city of Surabaya.

The rapid development of artificial intelligence has encouraged the widespread use of chatbots on social media platforms, transforming patterns of digital communication and interaction. This study aims to examine the role of chatbots in shaping social interaction, fandom dynamics, and users’ digital identities within contemporary online culture. The research employs a literature review approach using grounded theory as an analytical framework to identify patterns, themes, and emerging concepts from relevant academic publications published between 2021 and 2025. Articles were collected through academic databases and systematically selected based on predefined inclusion and exclusion criteria. The findings indicate that chatbots have shifted from being purely functional technological tools to becoming cultural actors that influence emotional engagement, community formation, and identity expression in digital spaces. Chatbots contribute to creating perceived emotional closeness, strengthening fandom interactions, and facilitating self-expression, particularly within popular culture and creative industries. However, the study also highlights several challenges, including emotional dependency, algorithm-driven homogenization of preferences, gender bias, and aggressive behavior in human–machine interactions. Cultural context plays a significant role in shaping user acceptance and interpretation of chatbots. These findings imply that chatbot development and implementation should consider not only technical efficiency but also social, psychological, and ethical dimensions to ensure responsible and inclusive digital interaction.

Anesthesiology and emergency care require rapid and accurate clinical decision-making. Artificial intelligence (AI) offers substantial potential to support triage, monitoring, and decision-making in critical and emergency anesthesiology settings. This scoping review maps the use of AI in clinical decision-making and emergency patient management in anesthesiology and identifies existing research gaps. A literature search was conducted in ScienceDirect, PubMed, Cochrane Library, and Google Scholar for articles in Indonesian or English published between 2020 and 2025. Study selection followed Tricco’s scoping review framework, and methodological quality was assessed using Joanna Briggs Institute (JBI) tools. Ten articles met the inclusion criteria. AI was shown to improve triage accuracy and efficiency (predictive accuracy up to 99.1% and reductions in waiting time of around 30%). Machine learning models effectively predicted critical care needs and emergency risk, while AI-based clinical decision support systems (CDSS) enhanced the speed and quality of clinical decisions. Key challenges include data bias, ethical and privacy issues, clinician readiness, and integration with hospital information systems. AI and CDSS have strong potential to improve patient safety and clinical decision-making in emergency anesthesiology. Strengthening AI literacy, supportive regulation, and transparent, context-appropriate predictive models are needed for safe and sustainable implementation.

The Port Clearance Certificate (PCC / SPB) is a mandatory state document issued by the Harbor Master (Syahbandar) as proof of the ship's seaworthiness and the fulfillment of all administrative obligations before leaving the port. In the clearance process for foreign-flagged vessels, the role of the shipping agent is crucial as the representative of the ship owner to coordinate all required permits and documents with various related government agencies (Harbor Master's Office/KSOP, Customs, Quarantine, and Immigration). PT. Dalian Putra Maritim Belawan Branch utilizes an integrated digital system (Inapornet) to manage ship agency services for both incoming and outgoing vessels. This study aims to comprehensively analyze and describe the role and effectiveness of the ship agent, PT. Dalian Putra Maritim Belawan Branch, in expediting the process of issuing the Port Clearance for foreign ships at the Harbor Master and Port Authority Office (KSOP) in Belawan. This research employs a qualitative-descriptive method supported by: 1) Library Research to collect theoretical data and regulations; and 2) Field Research, which involves direct observation of Standard Operating Procedures (SOPs) and the collection of accurate data within the Belawan Port environment. The research results indicate that the ship agent plays a central and vital role in the entire Port Clearance issuance process. The success of issuing the Port Clearance is heavily dependent on the speed, accuracy, and efficiency of the coordination carried out by the agent, ensuring that the vessel meets all safety, security, and maritime environmental protection requirements before being permitted to sail.

Damage to rotable axle components on CAT KT4 Loaders in the mining industry is often the main cause of operational downtime. This study aims to analyze the frequency of damage to axle components and evaluate the effectiveness of preventive maintenance to reduce downtime duration and repair costs. Damage data collected from January to August 2024 were quantitatively analyzed to identify the most frequent damage patterns, especially seal leaks and brake modules. The results show that the implementation of preventive maintenance, such as regular seal replacement and hydraulic pressure checking, can significantly reduce the frequency of breakdowns and improve operational efficiency. The research also provides recommendations on maintenance strategies that can be implemented to extend component life and reduce overall downtime.

Corruption in Indonesia is not merely a moral transgression but an extraordinary economic crime that depletes national resources. The ultimate objective of corruption eradication, therefore, must be the restoration of state financial losses (asset recovery).  However, the current formulation of the criminal law system specifically Article 18 of Law No. 31 of 1999 contains a critical policy flaw. The provision of "Subsidiary Imprisonment" (Pidana Pengganti) allows convicts to substitute their financial restitution obligations with a disproportionately short prison term. This mechanism inadvertently provides an economic incentive for corruptors to conceal assets and choose imprisonment, resulting in significant state revenue loss. This study aims to critique the current penal policy formulation and propose a comprehensive reformulation of the compensation system. The research employs a normative-juridical method with a statutory and conceptual approach, utilizing the "Economic Analysis of Law" theory to evaluate the efficiency of sanctions. The study argues that the penal policy must shift from a "person-based" approach (in personam) to an "asset-based" approach (in rem). It is imperative to abolish the subsidiary imprisonment option for high-value corruption and implement "Non-Conviction Based Forfeiture" to maximize the recovery of state losses. Furthermore, this policy shift requires law enforcers with high-level cognitive skills to trace complex financial trails.

Digital transformation in the field of information technology requires Micro, Small, and Medium Enterprises (MSMEs) to improve the quality of financial management to be able to compete sustainably. One effort that can be done is through the implementation of the Financial Management Information System (MISK). This study aims to analyze the implementation of MISK in MSMEs, examine the benefits obtained, and identify obstacles faced in the implementation process. The research method used is a qualitative descriptive approach with data collection techniques through interviews, observation, and documentation. The object of the study is the culinary MSME "Dapur Lestari Jambi" which has implemented a digital financial recording application and Point of Sale (POS) system. The results of the study indicate that the implementation of MISK can increase the accuracy of transaction recording, accelerate the preparation of financial reports, improve cash flow management, and support data-based managerial decision-making. However, the implementation of MISK still faces several obstacles, especially related to limited human resource competency, consistency of recording, and adaptation to technology. This study concludes that the Financial Management Information System has a strategic role in increasing the efficiency, transparency, and professionalism of MSME financial management, and is an important factor in supporting business sustainability in the digital era.  

This study explores the implementation of e-Government within the context of Bawaslu (Election Supervisory Agency) and its impact on governance and public trust. The results reveal that, from the support aspect, the success of e-Government implementation is largely driven by the commitment of leadership, which provides essential policies, human resources (HR) training, and technological facilities. However, challenges remain in terms of limited infrastructure and budget constraints at the district and city levels. Regarding the capacity aspect, Bawaslu already possesses competent HR, particularly among the younger generation, and adequate infrastructure. Nevertheless, there is still a need for improvement in the distribution of employee capabilities through continuous training and mentoring. Lastly, from the value perspective, e-Government has proven to deliver tangible benefits, such as increased efficiency, transparency, accountability, and an enhanced public trust in the institution. However, further efforts are required in areas such as system socialization, maintenance, and data security to maximize these benefits. This research highlights the importance of continuous development in both human and technological resources to ensure the optimal success of e-Government initiatives in enhancing governance and service delivery.

The production process of wooden batik at Sanggar Peni Krebet plays an important role in preserving local culture and supporting the economy, but workers face the risk of musculoskeletal disorders due to unergonomic working positions when performing activities such as sculpting, sanding, batik making, and boiling . Based on the NBM questionnaire on 15 workers, the highest complaints were found in the right upper arm (100%), right wrist (100%), and waist (88%). Research using the RULA and REBA methods revealed the batik activity to have a very high risk (RULA 7, REBA 11), requiring immediate improvement, while boiling had a medium to high risk (RULA 5, REBA 9), requiring investigation and change. The EFD emphasizes the importance of designing batik boiling stoves, chairs and tables that consider height according to the worker's body size, ergonomic working positions, and comfortable strainer handles. Tool development should focus on improving comfort, safety and efficiency, with design adjustments to support workers' postures and use lightweight yet strong materials. The application of these elements is expected to improve safety and productivity in the batik industry.

Information system security faces serious challenges due to increasingly complex cyber attacks. Intrusion Detection Systems (IDS) require efficient approaches to handle high-dimensional data such as the NSL-KDD dataset with 41 features. This study aims to implement the Genetic Algorithm (GA) for feature selection on the NSL-KDD dataset to improve the efficiency and accuracy of network attack detection. The method used is computational experimental research, involving data preprocessing, GA implementation for feature selection, building a classification model using Random Forest, and performance evaluation based on accuracy, precision, recall, F1-score, and computation time. The results show that GA successfully reduced features from 41 to 12 features (70.7% reduction), significantly improving computational efficiency. However, model accuracy slightly decreased from 0.4973 to 0.4951, indicating that while GA is effective for feature selection, the elimination of certain features may reduce classification capability. The implication of this study is that GA can be used as a tool to simplify intrusion detection models, but it should be combined with parameter optimization and data imbalance handling to achieve more optimal performance.  

This study aims to analyze the effectiveness of Maxim online motorcycle taxi services for students of MAN 4 Pekanbaru City in meeting their daily mobility needs. The location of MAN 4 Pekanbaru City on Jalan Yos Sudarso, one of the routes with a fairly high intensity of large vehicle activity, demands the availability of transportation services that can provide certainty of time, comfort, and safety for students. In this context, the existence of online motorcycle taxis is a relevant transportation alternative in today's digital era. This study uses a descriptive qualitative approach with the aim of describing in depth the experiences, perceptions, and assessments of students' assessments of the quality of Maxim online motorcycle taxi services. Data collection techniques were carried out through interviews with several students of MAN 4 Pekanbaru City who actively use the service in their daily activities, especially for going to and from school. The results of the study indicate that Maxim online motorcycle taxi services are considered quite effective in supporting student mobility, especially in terms of ease of access, time efficiency, and relatively affordable costs compared to other modes of transportation. In addition, the use of digital-based applications provides ease in ordering and transparency of fares. However, the aspects of safety and comfort remain a primary concern for students. Therefore, it is recommended that students use official online motorcycle taxi (ojek) applications to minimize the risk of fraud and other undesirable incidents. Overall, the Maxim online motorcycle taxi service serves as a transportation solution that supports students' mobility needs in urban environments.