Publication Search

The development of artificial intelligence (AI) has transformed organizational landscapes and driven fundamental changes in leadership practices and strategic management. This article aims to critically examine AI-based leadership by highlighting its opportunities, risks, and implications for strategic management. The study employs a qualitative literature-based approach using an integrative literature review strategy. The data consist of secondary scholarly literature relevant to AI, leadership, governance, innovation, and strategic management, which were analyzed through qualitative thematic analysis and conceptual content analysis. The findings show that AI-based leadership creates opportunities in the form of improved decision quality, faster strategic analysis, operational efficiency, stronger innovation, and enhanced organizational agility. However, AI integration also presents risks, including algorithmic bias, limited decision transparency, technological dependency, accountability challenges, and ethical concerns. This study confirms that AI does not fully replace human leaders; rather, it fosters a hybrid leadership model that requires technical, adaptive, transformational, and ethical capabilities. The study implies that the effectiveness of AI-based leadership depends on responsible governance, organizational cultural readiness, and balanced human–machine collaboration in supporting strategic management.

Blasting is a critical method for overburden removal in open-pit coal mines, where fragmentation quality directly impacts loading efficiency and operational costs. This study aims to analyze the actual fragmentation resulting from overburden blasting at Pit 4 Middle of PT. Victor Dua Tiga Mega, Central Kalimantan, to predict fragmentation using the Kuz-Ram model, and to evaluate the conformity of both results against the company standard (boulder size ≤144.6 cm or ≥50 cm for analysis). The research employed a quantitative comparative method. Primary data included blasting geometry and photographs of muck piles from 10 blasting events, which were analyzed using WipFrag software to obtain actual fragmentation distribution. Secondary data comprised rock characteristics and explosive properties for Kuz-Ram prediction input. The results showed significant variation in actual boulder percentage (≥50 cm), ranging from 6.19% to 32.91% with an average of 16.05% (medium category). Statistical analysis revealed a very weak negative correlation (r = -0.21) between powder factor (PF) and boulder percentage, indicating that PF is not the dominant factor within the consistent application range (0.21-0.23 kg/bcm). Comparison with Kuz-Ram predictions showed that the model consistently over-predicted coarse material, with an average difference of +25.21%, suggesting the need for rock factor (A) recalibration. It is concluded that the blasting results are inconsistent, strongly influenced by uncontrollable factors such as geological conditions. Recommendations include geometri evaluation, particularly burden and spacing, and calibration of the Kuz-Ram model for more accurate future predictions.

Digital transformation in public administration has become one of the strategic agendas in modern bureaucratic reform to improve the effectiveness, efficiency, transparency, and quality of public services. This study aims to analyze the digital transformation of public administration through a comparative study between Indonesia and South Korea, particularly in the implementation of digital government. This study uses a qualitative method with a comparative study approach and is supported by library research through secondary data collection from scientific journals, international agency reports, government policy documents, and relevant previous research. The data analysis technique uses descriptive-comparative analysis with the theoretical approaches of Digital Era Governance (DEG), Institutional Theory, New Public Management (NPM), and Socio-Technical Systems Theory. The results of the study show that South Korea has succeeded in developing an integrated digital government because it is supported by consistent national policies, strong data interoperability, high bureaucratic capacity, adaptive organizational culture, and equitable distribution of digital infrastructure. In contrast, Indonesia is still in the transition stage from e-government to digital government and faces various obstacles such as fragmentation of inter-agency systems, low data interoperability, inequality in digital infrastructure, limited ASN competency, and bureaucratic resistance to change. Based on the Digital Era Governance theory, South Korea has successfully implemented the principles of reintegration, needs-based holism, and digitization of changes, while Indonesia remains suboptimal in terms of bureaucratic integration and services based on public needs. This study concludes that the success of digital transformation in public administration is determined more by institutional strength and bureaucratic reform than simply by technology adoption. Therefore, Indonesia needs to prioritize digital transformation as a comprehensive national reform agenda to create a modern, responsive, and service-oriented government.

Libraries play a crucial role in broadening the public's knowledge horizons by improving literacy skills. However, the reality at the Samaturu Library in Jambu Malea Village shows that manual management still dominates, leading to various administrative obstacles such as data irregularities, the risk of losing important information, and inefficiencies in tracking daily activities. This condition demands digital transformation to optimize public services at the village level comprehensively and sustainably. This research focuses on the development of a web-based library information system specifically designed to modernize administrative processes to be more systematic, fast, and organized. Built using the PHP programming language and MySQL database, this platform offers an intuitive interface for both staff and members. Its superior features include book data management, membership, activity agendas, announcements, and digitizing the borrowing and return process. Furthermore, the system is capable of automatically generating periodic reports to facilitate library performance evaluation. Based on the results of comprehensive testing using the Black Box Testing method, all system functionality was proven to operate optimally according to the required specifications. Direct user trials also showed very positive responses regarding aspects of ease of navigation and operational time efficiency. The implementation of this system is expected to improve the effectiveness of internal management, accelerate the quality of services to library users, and become a major catalyst in realizing superior digital literacy governance in rural areas.

The rapid digital transformation in educational institutions demands an efficient student grade data processing system capable of handling workloads responsively. This study aims to analyze and compare the efficiency of sorting algorithms (Merge Sort and Quick Sort) and searching algorithms (Linear Search and Binary Search) on a web-based platform. The research method employed is laboratory experimental, testing algorithm performance across various data volume stratifications, ranging from 50 to 1000 entities, using the V8 JavaScript engine. Research findings indicate that Quick Sort possesses superior speed compared to Merge Sort due to its efficient in-place sorting architecture, which minimizes memory overhead and Garbage Collection activity. Furthermore, a performance anomaly was discovered where the Just-In-Time (JIT) Compiler mechanism optimizes execution on large data volumes through a warm-up phase. In the searching aspect, Binary Search demonstrates superior O(log n) logarithmic stability compared to Linear Search, which risks causing interface freezing on massive data. The implication of this study is the critical importance of implementing data pre-sorting protocols to exploit logarithmic search speeds to ensure academic information system scalability. The integration of appropriate algorithms proves to be a crucial foundation in maintaining web application responsiveness amidst the ever-increasing escalation of educational data.

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.

This study aims to design and develop an Android-based public infrastructure damage reporting application on Lepat Island, South Bangka Regency, as an effort to support the Smart Island concept. The background of this study is the continued use of a manual reporting system that causes delays in handling and a lack of transparency. The method used is Agile which includes the stages of system design, implementation, testing and periodic evaluation. Data collection techniques are carried out through observation, interviews, and literature studies. The results of the study are an Android-based application that allows the public to report infrastructure damage with features to upload photos, descriptions, and GPS-based locations. In addition, the application provides report history and status monitoring features to increase transparency. The implementation results show that the use of mobile technology can improve service efficiency, speed up the reporting process, and increase community participation. This application is expected to support the implementation of Smart Governance and Smart Island in the region.

The evaluation of haul road geometry at PT Trubaindo Coal Mining was conducted to ensure that the haul road from the stockroom to the jetty meets applicable technical standards, thereby supporting the smoothness, safety, and efficiency of coal transportation activities. This study aims to analyze the conformity of haul road geometric parameters, including straight road width, curve width, curve radius, cross slope, longitudinal grade, and superelevation, based on the standards of AASHTO 7th Edition and Kepmen 1827 of 2018. The research method employed field measurements using a Terrestrial Laser Scanner (TLS), followed by data processing using Maptek and Surpac software. The obtained data were then compared with the applicable standards to determine the level of conformity of the haul road geometry. Based on field measurements, the average values obtained were 14.99 m for straight road width, 18.45 m for curve width, 0.22 m for cross slope, 6.97% for grade, 223.51 m for curve radius, and 1.40 m for superelevation. Furthermore, based on calculations and analysis referring to AASHTO 7th Edition and Kepmen 1827 of 2018, and considering the largest haulage equipment used (Volvo FMX 480), the ideal haul road geometry values were determined as follows: 13 m for straight road width, 17 m for curve width, 124 m for curve radius, 0.26 m for cross slope, 1 m for superelevation, and 6% for grade based on PT Trubaindo Coal Mining standards.

Inventory management is a crucial aspect of business sustainability, particularly for Micro, Small, and Medium Enterprises (MSMEs) that often face limitations in data management and technological adoption. Selaras Muba Lestari is Incubation Center, which supports MSMEs in Musi Banyuasin Regency, encounters challenges in managing product inventory due to reliance on manual recording systems. This study aims to design and develop a web-based inventory application using the Laravel framework to improve the efficiency and accuracy of stock management. The research adopts the Software Development Life Cycle (SDLC) Waterfall model, which includes requirements analysis, system design, implementation, and testing. The results indicate that the developed system is capable of improving data accuracy, accelerating the recording process, and providing real-time inventory reports. Furthermore, this study reinforces previous findings that digitalizing inventory systems serves as a strategic solution to enhance the competitiveness of MSMEs.

The transition from paper-based to Computer-Based Test (CBT) in the Academic Potential Test (TPA) for state university entrance selections has significantly transformed the educational assessment landscape. This conceptual study aims to evaluate the instruments of CBT-based TPA, focusing on validity, reliability, fairness, and technological infrastructure constraints. Employing a systematic literature review approach, this research synthesizes various foundational theories of educational measurement, specifically Item Response Theory (IRT) and Computerized Adaptive Testing (CAT), alongside contemporary empirical findings from the last five years. The findings indicate that while CBT offers enhanced administrative efficiency and rapid grading, the validity of the instruments is frequently challenged by item exposure and the diverse digital literacy levels of test-takers. Furthermore, infrastructural disparities among regions pose a significant threat to testing fairness. The implication of this study suggests the urgent need for a dynamic item bank generation system and the implementation of adaptive testing to mitigate cheating and ensure equitable assessment. Future educational policies must bridge the digital divide before uniformly mandating CBT. Ultimately, this review provides a comprehensive framework for test developers to refine CBT TPA instruments, ensuring they genuinely measure academic potential rather than technological proficiency.

This study examines the influence of technology utilization, records management, infrastructure, and training on employee performance at the Regional Financial and Asset Management Agency (BPKAD) of Batam City. A quantitative approach with an associative design was employed to identify relationships between variables and measure their effects. The study involved 89 employees as respondents using a saturated sampling method to ensure all members of the population were included. Data were collected through structured questionnaires and analyzed using multiple linear regression along with F-test and t-test to assess both simultaneous and partial effects. The findings reveal that all independent variables simultaneously have a significant impact on employee performance, while individually technology, records management, infrastructure, and training also demonstrate significant positive effects. These results indicate that the effective use of digital systems, well-organized archival practices, adequate and supportive facilities, and continuous training programs play a crucial role in enhancing employee performance and productivity, as well as improving efficiency, accuracy, and overall organizational effectiveness. The study suggests that organizations should strengthen technological implementation, improve document management systems, provide sufficient work facilities, and conduct sustainable training programs to achieve optimal and long-term organizational outcomes.

This study aims to analyze the development of studies on the use of biomass as a renewable energy source to support national energy security using a bibliometric approach. Research data were obtained from the Scopus, Web of Science, and Google Scholar databases with a publication range of 2015-2025. The analysis was conducted using VOSviewer and Biblioshiny. The results show a significant increase in publication trends in the last decade, especially in the period 2016-2024, reflecting the increasing academic attention to biomass as a solution in the energy transition. Keyword visualization shows that biomass is closely related to concepts such as combustion, thermal efficiency, calorific value, and pelletizing. China is the country with the highest publication contribution, while Indonesia is strategically positioned due to its abundant biomass waste potential. Overall, biomass has great potential to support energy diversification, reduce dependence on fossil fuels, and strengthen national energy security in a sustainable manner.

The rapid evolution of digital technologies has fundamentally reshaped tax administration systems, particularly for Micro, Small, and Medium Enterprises (MSMEs), which constitute a critical driver of economic development yet continue to demonstrate suboptimal levels of tax compliance. This study aims to critically examine the role of Application Programming Interface (API)-based tax automation in enhancing MSME tax compliance through a systematic narrative literature review approach. Employing a qualitative design, this study synthesizes recent scholarly works published within the last five years to identify patterns, relationships, and emerging trends in digital taxation practices. The findings indicate that API-based automation significantly improves administrative efficiency, minimizes human error, and facilitates real-time data integration between taxpayer systems and tax authorities. Moreover, such integration enhances transparency and reduces compliance costs, thereby fostering voluntary compliance behavior among MSMEs. Nevertheless, the effectiveness of this technological intervention is contingent upon several structural and behavioral factors, including digital literacy, technological readiness, and the availability of reliable digital infrastructure. Persistent disparities in these areas may constrain the scalability and inclusiveness of API implementation. This study underscores that API-based tax automation represents a transformative policy instrument in modernizing tax administration systems, provided it is supported by coherent regulatory frameworks, capacity-building initiatives, and equitable infrastructure development. The findings contribute to the broader discourse on digital taxation by offering a conceptual foundation for developing adaptive and sustainable compliance strategies in the era of economic digitalization

This study aims to analyze the effect of Return on Asset (ROA), Current Ratio (CR), Net Profit Margin (NPM), and Total Asset Turnover (TATO) on company value as measured by Price Book Value (PBV) in property and real estate sector companies listed on the Indonesia Stock Exchange for the 2019–2023 period. This research adopts a quantitative method with a causal associative approach. The data was obtained from the financial reports of eight companies that met the purposive sampling criteria. Data analysis was conducted using multiple linear regression with the help of SPSS software. The results show that, partially, ROA and CR have a significant negative effect on PBV, while NPM does not have a significant effect on PBV, and TATO has a significant negative effect on PBV. Simultaneously, all four independent variables significantly affect PBV, with an R² value of 12.3%, indicating that most of the PBV variations are explained by other factors outside the research model. These findings provide insights for investors and company management regarding the importance of asset management and operational efficiency in enhancing firm market value.

Marriage confirmation services are often hampered by manual procedures, leading to delays and administrative errors. This study aims to design and implement a web-based Marriage Confirmation Information System to facilitate registration, document uploads, and online monitoring of verification status and court schedules. The system was developed using the PHP programming language and MySQL database using the Waterfall method, encompassing analysis, design, implementation, and testing. The results show that the system is capable of optimally performing all managerial functions, from document validation to report automation. Black Box testing confirmed that all features functioned as expected and were easy to use. In addition to improving bureaucratic efficiency, the system ensures data security through login encryption and provides transparency through real-time status tracking. The presence of this platform significantly saves time and transportation costs for the public, as bureaucratic processes can be monitored from anywhere. In conclusion, this system successfully supports the digitalization of public services and improves the quality of administration within the Office of Religious Affairs (KUA) and Religious Courts, thereby realizing more effective, efficient, accountable, and modern governance for all levels of society

The distribution of Village Fund Direct Cash Assistance (BLT) is a government program aimed at alleviating the economic burden on affected communities. However, the data collection, verification, distribution, and reporting processes are still largely manual, potentially leading to data errors, duplication, and distribution delays. This study aims to design and implement a web-based BLT Village Fund information system that can simplify recipient data management, monitor distribution, and generate accurate reports. The methods used include database design, module implementation for sub-district administrators, village operators, treasurers, and village officials, and system testing using the Black Box method to evaluate functionality. The system is equipped with features for managing recipient data, verifying eligibility, sending data to the treasurer, inputting proof of transfer, uploading proof of distribution, recapitulating distribution, and printing reports. The test results show that all modules run according to specifications, are able to handle various input conditions, and produce accurate output. Field trials show that the system is easy to use, improves administrative efficiency, accelerates the distribution process, and supports transparency and accountability. In conclusion, the Village Fund Direct Cash Assistance (BLT) information system is effective as a tool for data management and aid distribution, minimizing errors, and supporting the smooth operation of the BLT program at the village level.

. The Agropolitan Program based on corn commodities in Gorontalo Province aims to enhance agricultural productivity, improve farmers’ welfare, and strengthen the competitiveness of corn. This study examines the progress of program implementation and its impact on production, quality, export volume, and competitiveness. A quantitative approach was employed, utilizing SWOT analysis and the Revealed Comparative Advantage (RCA) method. Data were obtained from the Central Bureau of Statistics, relevant institutions, as well as limited observations and interviews.The results indicate that the Agropolitan Program has contributed positively to the expansion of harvested areas and increased corn production, particularly during the 2020–2024 period. This increase is not only evident in terms of quantity but has also begun to show improvements in the quality of yields, although these improvements are not yet evenly distributed across regions. However, export performance remains fluctuating, with unstable RCA values, indicating that the competitiveness of corn in the international market still faces various challenges.This condition is influenced by limitations in logistics infrastructure, weak farmer institutions, dependence on middlemen, and the suboptimal integration of the value chain from upstream to downstream. In addition, access to technology, financing, and market information remains a significant constraint that needs to be addressed. It is concluded that the success of the program requires strengthening institutional capacity, improving distribution efficiency, and implementing sustainable and integrated export policies to support the stability and long-term competitiveness of corn.

Correspondence administration is vital for supporting operational efficiency in schools. However, manual management often leads to issues such as data retrieval delays, recording errors, and the risk of lost archives. This research aims to design and develop a Web-Based Administration Data Monitoring Information System using QR Codes at UPTD SMAN 3 Majene. The study employs the Research and Development (R&D) method with the Waterfall model, encompassing requirements analysis, system design, implementation, testing, and maintenance.The system involves three primary users: Admin/Administrative Staff, Teachers, and the Principal. QR Codes are implemented as digital identities to facilitate easier archive tracking and retrieval. Results indicate that the system enhances effectiveness and efficiency in correspondence management, accelerates letter request services, and simplifies data monitoring for school management. This system is expected to provide a solution for achieving orderly administration at UPTD SMAN 3 Majene. Furthermore, QR Code integration ensures document validity and digital archive security, supporting a more modern, transparent, and sustainable school governance transformation.

Based on the analysis, (1) the support aspect has been implemented effectively, as evidenced by strong leadership commitment, policy support, the availability of facilities and infrastructure, adequate budget allocation, and solid inter-agency coordination, although technical constraints such as network disruptions remain. Further, (2) the capacity aspect is categorized as relatively adequate, reflected in the readiness of human resources, the availability of technological infrastructure, clear standard operating procedures, and the implementation of training programs, despite the need for further enhancement of technical competencies and network quality. Lastly, (3) the value aspect demonstrates highly positive outcomes, as the Warkop Samsat program provides significant benefits, including improved service quality, time and cost efficiency, service convenience, increased user satisfaction, and enhanced public compliance with motor vehicle tax payments In conclusion, public service innovation through the Warkop Samsat program in Gorontalo City has been effectively implemented, generating positive impacts for the community. However, further strengthening of technical aspects and capacity development is required to ensure the program's sustainability.

This study examines the comparison between litigation and Alternative Dispute Resolution (ADR) in resolving business conflicts in Indonesia. The increasingly complex nature of business activities has led to a variety of conflicts, such as breach of contract, share ownership disputes, and payment issues, which require efficient resolution methods that provide legal certainty. This study aims to explore the characteristics, procedures, advantages, and disadvantages of dispute resolution through litigation and ADR, which include negotiation, mediation, conciliation, and arbitration. The method applied is normative juridical, drawing on legislation, legal doctrine, and relevant literature. The research findings indicate that litigation offers stronger legal certainty through binding court decisions and organized procedures, but is often time-consuming, expensive, and produces win-lose outcomes. On the other hand, ADR offers flexibility, confidentiality, efficiency, and the opportunity to reach mutually beneficial solutions, although in some situations it requires court confirmation for enforcement. Therefore, the choice of dispute resolution method needs to be adjusted to the nature of the conflict, the relationship between the parties, and the need for legal certainty.