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This study examines the transformation of financial management through the implementation of digital accounting in PPOB (Payment Point Online Bank) businesses, which still face manual recording problems such as input errors, delayed reconciliations, and data discrepancies. The research used a descriptive qualitative method with a case study approach involving PPOB agents in Sidoarjo. Data were collected through observation, interviews, and documentation. The findings show that digital accounting significantly improves operational efficiency through automated transaction recording, real-time data integration, and faster as well as more accurate reconciliation processes. In addition, features such as automatic validation, API integration, and audit trails help minimize recording errors and maintain data consistency. The implementation of digital accounting also supports transparency and improves the quality of financial information used in decision-making. Although challenges remain regarding agents’ technological understanding and infrastructure readiness, overall implementation has provided positive impacts on financial management effectiveness and business operations in PPOB services, making processes more efficient, accurate, and reliable.

The Jambi Class II Climatological Station is the agency responsible for providing climate data and information to the public and relevant agencies. In practice, the process of handling data requests is still carried out conventionally, resulting in relatively long processing times for document management, archiving, and user service. This situation has led to several challenges, such as inefficient administrative processes, a high risk of document loss, and limitations in monitoring the status of data requests. This study aims to design a web-based Data Service Information System that can support the digitalisation of climate data services at the Class II Jambi Climatology Station. The system development method used is the prototype method, as it allows the development process to be carried out in stages based on user needs. The system design was carried out using the Unified Modelling Language (UML) as a modelling tool to describe system requirements, process flows, and user interactions with the system. The design results show that the developed system is capable of facilitating the online submission of data requests, tracking the status of requests, and managing the service database in a more structured manner. The system also provides a digital archiving feature that simplifies the management and retrieval of data request documents. The implementation of this system is expected to improve the efficiency of service processes, speed up data request processing times, enhance service transparency, and support improvements in the quality of public services at the Class IV Jambi Climatological Station.

The increasing demand for scalable and high-quality digital marketing content has exposed limitations in traditional manual copywriting processes, which are time-intensive and difficult to scale. This research proposes an adaptive AI-driven copywriting framework that integrates a full-stack web architecture with optimized prompt engineering strategies for automated content generation. The system is implemented using React.js for the frontend, Node.js with Express for backend services, and a GPT-based API for language generation. Unlike prior implementations, this research introduces a structured prompt optimization mechanism to enhance content relevance and consistency. Experimental evaluation was conducted using multiple datasets of marketing prompts, with comparisons against baseline GPT usage and manual copywriting. Quantitative results show that the proposed system achieves improvements in BLEU (+18.7%) and ROUGE-L (+21.3%) scores over baseline methods. Human evaluation involving 30 participants indicates a significant increase in perceived content quality, coherence, and persuasiveness (p < 0.05). System performance analysis demonstrates an average response time of 1.8–3.0 seconds and a GTmetrix performance score of 82%. The findings confirm that the proposed framework significantly enhances efficiency, scalability, and content quality, contributing to both applied AI systems and intelligent web-based content production.

Indonesia’s Free Nutritious Meal Program (MBG) requires an efficient and adaptive supply chain system to ensure timely distribution, cost efficiency, and adequate nutritional delivery for a large number of beneficiaries. However, conventional supply chain approaches are generally static and unable to respond effectively to dynamic demand, supply uncertainty, and logistical constraints. This study proposes a Multi-Objective Reinforcement Learning (MORL) model to optimize the MBG supply chain by simultaneously considering distribution cost, delivery timeliness, service level, nutritional adequacy, and food waste reduction. The model is developed using a simulation-based environment representing real-world supply chain conditions, including demand variability, transportation limitations, and kitchen capacity constraints. The results show that the proposed approach achieves cost reductions of 15–22%, improves delivery timeliness by 18–25%, maintains a service level above 90%, increases nutritional fulfillment by 12–18%, and reduces food waste by 10–15% compared to baseline methods. Sensitivity analysis further demonstrates the robustness of the model, with minimal performance degradation under disruption scenarios. These findings indicate that Reinforcement Learning provides a scalable and adaptive solution for optimizing large-scale public food distribution systems. The proposed model contributes both theoretically by integrating multi-objective optimization within an RL framework and practically by supporting data-driven decision-making for improving the effectiveness of the MBG program in Indonesia.

Construction project control requires careful planning to avoid delays and cost overruns. This study aims to evaluate the performance of the CBT Laboratory Building construction project at the Faculty of Medicine, Wahid Hasyim University, Semarang, in terms of cost and time using the Earned Value Analysis (EVA) method, and to analyze acceleration alternatives using the crashing method. The method used is a quantitative approach with a case study, based on project data such as the Budget Plan (RAB), S-curve, and work progress reports. The analysis was carried out using the Earned Value Analysis (EVA) method to assess project performance in terms of cost and time through indicators such as CV, SV, CPI, and SPI. Furthermore, an acceleration analysis was conducted using the crashing method to determine the optimal alternative for overcoming project delays by considering time and cost efficiency. The results of the Earned Value Analysis indicate that the project experienced delays and cost overruns, as shown by SPI < 1 and CPI < 1. The estimated project completion time increased to 227 days, longer than the initial plan of 217 days, while the estimated final cost reached RP 5,451,241,064.85, exceeding the initial budget. Acceleration efforts using the crashing method show that adding adding labor is more efficient than working hours (overtime), resulting in a project duration of 212 days with lower costs of RP 5,658,221,364.08. Thus, the Earned Value Analysis method is effective for evaluating project performance, while crashing can be a solution for acceleration by considering time and cost efficiency.

The reliability of an e-commerce application is essential to ensure smooth and secure user transactions. This study discusses the implementation of Software Quality Assurance (SQA) on a web-based e-commerce application to test the functionality of the developed system. The testing methodology used in this research combines manual testing and automated testing using the Katalon Studio tool, following the Software Testing Life Cycle (STLC) framework. Manual testing was focused on validating the user interface and user experience across core workflows, including user registration, authentication, cart management, and the checkout process. Meanwhile, Katalon Studio was utilized to execute automated test scenarios on these crucial features to accelerate regression testing and ensure system stability. The results indicate that from 42 test cases executed, the SQA approach successfully identified five functional defects across three modules, categorized by severity into two High-level defects (server error on registration and missing error handling on checkout), two Medium-level defects (client-side-only address validation and cart quantity logic), and one Low-level defect (insufficient logout notification display time). Four of the five defects were resolved, raising the test pass rate from 90.5% to 97.6% during regression testing. Automated testing demonstrated a significant time efficiency of approximately 95% compared to manual execution for regression scenarios. In conclusion, the combination of manual and automated testing proved capable of thoroughly verifying software quality, ensuring that the SQA Shop application functions according to the required specifications before its release to end-users.

PT. Bukit Baiduri Energi (BBE) is a coal mining company that utilizes hauling roads as the main infrastructure for material transportation. This study focuses on a 1.7 km road segment selected as the object of technical evaluation. The objective of this research is to analyze the effect of road geometry improvements on hauling time efficiency and equipment productivity. The method employed includes direct field measurements and calculations of operational parameters such as travel time, cycle time, and productivity. The results indicate that improvements in road grade reduced travel time from 10.13 minutes to 9.86 minutes. This reduction was followed by a decrease in cycle time from 16.29 minutes to 16.22 minutes. In addition, productivity increased from 65.4 bcm/hour to 66.69 bcm/hour. Also, improvements in curve radius and superelevation were implemented on the hauling road. These improvements resulted in a further decrease in travel time from 9.86 minutes to 8.6 minutes. Consequently, the cycle time also decreased from 16.22 minutes to 16.18 minutes. The productivity of hauling equipment increased from 66.69 bcm/hour to 67.02 bcm/hour. Overall, the evaluation of road geometry provided a positive contribution to operational performance. The productivity of overburden removal increased from 65.4 bcm/hour to 67.02 bcm/hour, representing an improvement of 2.48%.

Coal hauling activities are an important part of mining operation because they affect production continuity, cycle time efficiency, and operational safety. This study aims to analyze the requirements of road support equipment on the coal hauling road from Sector 4 to the new Coal Processing Plant (CPP) at PT. Asmin Bara Bronang, Central Kalimantan. Based on road geometry, traffic density, California Bearing Ratio (CBR), and Unsurfaced Road Condition Index (URCI). The research method used was applied research with a quantitative approach. Primary data ware collected through field measurements consisting of road geometri observations, traffic density observations, Dynamic Cone Penetrometer (DCP) testing to obtain CBR values, and road surface condition assessment using the URCI method. Secondary data were obtained from the company records. The results showed that the hauling road has a total length of 9.1 km with an average width of 16 m, and grade values ranging from -7.68% to 10.52%, which are still below the maximum standard of 12%. Traffic density reached 184 dump trucks/day, for coal hauling and 62 units/day for construction material transportation, indicating high traffic intensity. CBR values ranged from 7% to 100%, showing variations in subgrade bearing capacity. The URCI value ranged from 72,50 to 91.00, indicating fair to good road conditions. Based on the analysis of road conditions and maintenance area requirements, the recommended support equipment for maintaining the hauling road consists of 1 motor grader unit, 1 compactor unit, 1 bulldozer unit, and 1 water truck unit.

The contemporary global economy faces a profound paradox: global Gross Domestic Product (GDP) growth and technological innovation are reaching all-time highs, yet inequality, climate crisis, and geopolitical instability are simultaneously worsening. This article employs Integrated Reality Theory (IRT) as an analytical framework to diagnose the systemic roots of this paradox. By mapping the global economy onto five IRT variables—Energy (E), Information (I), Entropy (S), Consciousness (C), and Evolution (v)—this article demonstrates that the world's economic architecture is experiencing a fundamental disequilibrium: exponential growth in E and I is not matched by adequate management of S. The accumulation of entropy, manifested in three dimensions—global debt, ecological degradation, and social polarization—has reached a critical point where every addition of energy and information only exacerbates systemic instability. This article offers a paradigmatic reorientation through the enhancement of C as the primary strategy for reducing S, while proposing the policy framework of Techno-Spiritual Based Developmentalism (TSBD) as a middle path between market fundamentalism and state fundamentalism. The function Φ = (E × I / S) × C is treated as a heuristic model for diagnosis, not a deterministic law. IRT opens the possibility for developing an economic model that integrates material efficiency, ecological sustainability, and ethical reflexivity into a unified systemic framework.

Telepharmacy is a digital-based pharmaceutical service innovation aimed at improving access to healthcare services and enhancing the quality of pharmaceutical care, particularly in areas with limited healthcare resources. This study aimed to evaluate the implementation of telepharmacy services at Sehat Plus Pharmacy based on the six healthcare quality dimensions established by the World Health Organization (WHO), namely safety, effectiveness, timeliness, efficiency, equity, and patient-centeredness, and to analyze their association with respondent characteristics. A quantitative descriptive-analytic study with a cross-sectional design was conducted. The study involved 35 respondents selected using a total sampling technique. Data were collected through a structured Likert-scale questionnaire and analyzed using univariate analysis and Spearman correlation tests with a significance level of α = 0.05. The results indicated that the overall implementation of telepharmacy services was categorized as very good (88.8%), with the safety dimension achieving the highest evaluation score among all quality dimensions. Most respondents were female and aged between 21 and 25 years. Statistical analysis revealed a significant association between age and perceptions of telepharmacy implementation (p = 0.004; r = -0.471), indicating a moderate negative correlation. In contrast, gender, educational level, and occupation showed no significant association with service implementation (p > 0.05). It can be concluded that telepharmacy services at Sehat Plus Pharmacy have met WHO healthcare quality standards and provide positive user experiences, while age remains an important factor influencing service perception and acceptance.

This study aims to design a Business Intelligence dashboard to support operational performance monitoring in Freight Forwarding Project Cargo services at PT XYZ. The company currently relies on manual reporting processes by exporting operational data from SAP and Microsoft SharePoint into spreadsheet files, resulting in inefficiencies and difficulties in monitoring shipment activities. This research adopts the Data Warehouse Lifecycle methodology using The Nine Steps of Kimball approach. Operational data obtained from SAP and Microsoft SharePoint were processed through the Extract, Transform, Load (ETL) stages using Power Query and visualized using Microsoft Power BI Desktop. The resulting dashboard provides key performance indicators (KPIs), including Total Shipment, Delayed Shipment, Average Lead Time, Average Delay Time, and On-Time Shipment Percentage, along with supporting visualizations for operational analysis. The implementation results indicate that the dashboard is capable of integrating operational data into a centralized platform and presenting information interactively to support monitoring activities and operational decision-making. The developed dashboard is expected to improve reporting efficiency, enhance visibility of shipment performance, and support data-driven decision-making within the company.

Manual management of customer receivables in manufacturing companies often leads to inefficiencies, including slow analysis processes, difficulty in monitoring outstanding balances, and limited ability to track payment trends comprehensively. This study designed a Business Intelligence Dashboard using Microsoft Power BI to address these issues at PT. XX Industry, employing a Software Development Life Cycle (SDLC) approach consisting of four stages: Planning, Analysis, Design, and Implementation. During the design phase, a data warehouse was built using a star schema model in SQL Server Management Studio, followed by an Extract, Transform, Load (ETL) process to ensure data accuracy and consistency prior to integration into Power BI. Five Key Performance Indicators (KPIs) were established collaboratively with company management through a series of online discussions, comprising Total Invoice, Total Payment, Total Receivables, Payment Rate, and Average Payment Time, all implemented using DAX expressions. The resulting dashboard features monthly trend visualizations, customer-based receivables distribution, and interactive filter capabilities. System testing confirmed that all components functioned correctly, while ETL validation verified consistency between processed and source data. User Acceptance Testing (UAT) conducted by management yielded an average score of 4.7 out of 5, reflecting a very high level of user acceptance. Overall, this dashboard proved effective in improving receivables monitoring efficiency and supporting faster, data-driven decision-making.

This study aims to examine how student interns perceive the performance of tax services at the Mojokerto Tax Office (KPP). This study employs a qualitative approach using descriptive methods. Data were collected through interviews with interns assigned to the service division, specifically at the Integrated Service Center (TPT). The interview results indicate that the tax service framework at the Mojokerto Primary Tax Office is viewed positively, is well-organized, and is beginning to evolve toward a modern and digital service approach through CORETAX technology. The shift toward digital services is believed to improve efficiency, streamline the process of obtaining a Taxpayer Identification Number (NPWP), simplify annual tax reporting, and enhance access to additional tax services. Additionally, the quality of service provided by staff was rated as friendly, professional, interactive, and supportive in helping taxpayers understand the service process. Nevertheless, several challenges were noted, including a lack of general awareness among taxpayers regarding digital platforms particularly among older taxpayers increased wait times during the annual tax filing season, and occasional system disruptions that affected service delivery. Based on interview findings, the tax service framework at the Mojokerto Pratama Tax Office is considered fairly efficient, although there is still room for improvement in promoting the adoption of digital services, enhancing service facilities, and creating a more user-friendly system.

Currently, the management of the damaged goods reporting at the Class 1A Jambi District Court still relies on manual procedures through verbal communication and physical logbooks. This mechanism is prone to recording errors, risks of document loss, and complicates real-time monitoring of repair statuses. This study aims to design a web-based Damaged Goods Reporting Information System to improve the effectiveness, transparency, and efficiency of internal asset management. The research method employs a qualitative approach with data collection techniques consisting of interviews, observations, and documentation. System development implements the Waterfall model, comprising requirement analysis, design, implementation, and testing phases. The result of the study deliver a web-based application that integrates features for report input, proof of damage photo uploads, admin validation, and real-time monitoring of repair status. This system successfully simplifies bureaucratic workflows, accelerates response times for damage handling, and minimizes administrative errors.

This study aims to formulate an information system strategic planning model for PT Athria Cipta Mandiri using the Ward and Peppard method. The research was conducted because the company still faces several problems in managing tender and construction project data, such as unintegrated systems between divisions, semi-digital administrative processes, repeated data input, the absence of a centralized database, and project reporting that has not been carried out in real time. This study uses a qualitative descriptive approach with data collection techniques through observation, interviews, and literature study. The analysis was conducted using Value Chain, PESTEL, SWOT, Critical Success Factor, McFarlan Strategic Grid, and application portfolio recommendations. The results show that PT Athria Cipta Mandiri needs an integrated information system for tender and project management, web-based project reporting and monitoring, a document management system, business intelligence dashboard, centralized cloud database, and stronger IT governance. The proposed strategy is expected to improve operational efficiency, data accuracy, inter-division coordination, and data-based managerial decision making.

The International Community Service Seminar on the Application of Artificial Intelligence (AI) for students of SMA Muhammadiyah Program Khusus Kotabarat Surakarta was conducted to enhance digital literacy and provide practical understanding of AI utilization in daily life and learning activities. The program aimed to introduce basic concepts of artificial intelligence, its functions, benefits, and challenges in modern education. Through presentations, interactive discussions, and quizzes, participants were exposed to real-life applications of AI such as digital assistants, personalized learning systems, and time management tools. The seminar involved participants from Indonesia and Malaysia, creating a cross-cultural learning environment that enriched the discussion. Both students and teachers gained improved understanding of how AI can support adaptive and effective learning processes. The activity highlighted the importance of responsible technology use in education. Integrating AI into learning environments was found to improve creativity, efficiency, and engagement among participants while also supporting teachers in administrative and instructional tasks.

The increasing demand for electrical energy in military education facilities necessitates an efficient, reliable, and sustainable energy solution. This research aims to design a Solar Power Plant (PLTS) system to meet the street lighting needs in the Wangi-Wangi Complex of the Indonesian Naval Academy (AAL). The research method used is quantitative descriptive with an engineering design approach thru the stages of site survey, collection of solar energy potential data in the Surabaya area, calculation of electricity energy needs, calculation of solar panel capacity, calculation of battery capacity, and design of battery connection configuration. The research results show that the energy requirement for street lighting is 1,920 Wh/day, sourced from 8 units of 20 Watt LED lamps with an operating time of 12 hours per day. Based on the average solar radiation potential in Surabaya of 5 kWh/m²/day, the designed system requires 3 units of 200 Wp monocrystalline solar panels with a total area of approximately 4.89 m². For energy storage, 4 units of Yuasa N200 12 V 200 Ah batteries are used, configured in a series-parallel arrangement, capable of providing an effective energy of around 3,600 Wh with an estimated operating time of 22.5 hours. The research results indicate that the proposed solar power plant design is feasible to implement as an environmentally friendly, efficient alternative energy source that supports the green defense concept in the AAL environment.

The process of creating and verifying employee ID cards at BKPSDMD Jambi City was previously carried out manually, resulting in lengthy processing times, data entry errors, and a high risk of identity forgery. This study aims to design and implement a web-based employee ID card digitalization system integrated with QR Code technology to improve the efficiency, accuracy, and security of employee identity verification. The system was developed using the Waterfall methodology, consisting of requirements analysis, system design, implementation, testing, and maintenance. The application was built using Native PHP, MySQL, HTML, CSS, and JavaScript. Functional testing was conducted using Black Box Testing with 12 test scenarios, while usability evaluation employed the System Usability Scale (SUS) involving 20 respondents. The results indicate that all core system features functioned properly, achieving a 100% success rate on valid test scenarios. Furthermore, the usability evaluation produced an average SUS score of 71.75, which falls into the good and acceptable categories. The implementation successfully accelerated the ID card issuance process, improved data management accuracy, and enhanced identity verification security through QR Code integration directly connected to the employee database. Therefore, the developed system effectively supports digital transformation and improves the efficiency of employee identity management at BKPSDMD Jambi City.

This research aims to develop an Android-based boarding house search application that can provide boarding house information quickly, accurately, and easily accessed by the public, especially students and migrant workers. The research employed a Research and Development (R&D) method, encompassing user needs analysis, system design, application development, implementation, and system testing. The application is designed with key features such as searching for boarding houses based on location, price, facilities, and room availability, making it easier for users to make choices based on their needs. Furthermore, the application also provides features for boarding house owners to manage and promote their properties digitally. The application development process was conducted using the Android Studio platform with an integrated database to support real-time information management. System testing was conducted using the Black Box Testing method to ensure all application functions run according to user needs. The results show that the developed application can improve the efficiency of the boarding house search process, accelerate information access, and facilitate boarding house owners in promoting and managing property data. Therefore, this application is expected to be an effective digital solution to support mobile-based housing search services.

The absence of integrated blood stock management in hospitals, relying on current manual procedures, frequently results in delayed services and challenges in fulfilling blood requirements under emergencies. This research seeks to design and build a web-based blood stock monitoring platform called HemoBridge, offering real-time data accessible by the public, healthcare facilities, and the Ministry of Health. The System Development Life Cycle (SDLC) framework with the well-known Waterfall approach was adopted, encompassing needs analysis, system architecture, development, verification, deployment, and upkeep. This study used a qualitative methodology through field observation and literature review. The platform was developed using PHP and the Laravel framework, with HTML, CSS, JavaScript, and MySQL as supporting technologies. Findings indicate HemoBridge was successfully deployed with core features comprising a comprehensive landing page, donor education, role-based access control, an integrated hospital management panel, a Ministry of Health dashboard, and an advanced blood stock search module with referral capability. Validation through Black Box Testing across six primary functions confirmed all features performed as intended. The platform demonstrates the capacity to enhance data management efficiency, accelerate information retrieval, and strengthen evidence-based decision-making in healthcare. Prospective enhancements include automated stock alerts, data encryption, and wider interoperability with health institutions throughout Indonesia.