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Equipment Borrowing and Room Booking Information System at the Politeknik Statistika STIS Hadi Nugroho, Setya; Marsisno, Waris
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.624

Abstract

The management of goods and space lending services at the Politeknik Statistika STIS is currently still done manually, resulting in various operational constraints such as limited access to information, inefficient processes, and potential errors in recording. This impacts the quality of service and the effectiveness of campus asset utilization. This study aims to design and build a website-based goods and space lending information system to address these issues. The system developers aimed to provide users with access to information on goods and space availability, simplify the loan application process, and improve the accuracy of inventory data. The system was developed using the SDLC method with a prototyping approach, while The researchers carried out the evaluation process using Black Box Testing and a PSSUQ survey survey to measure ease of use and user satisfaction. The developers successfully built the system and confirmed through Black Box Testing that all features operate correctly, and the PSSUQ evaluation shows an average score of 1.69, indicating that this system is well received and provides a high level of satisfaction for users.
Job Competency Extraction in Information and Technology Sector Using K-Means and Non-Negative Matrix Factorization (NMF) Algorithms Rifa Geandra, Alfitra; Mumtaz Siregar, Amir; Nooraeni, Rani
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.684

Abstract

The advancement of information technology has led to a surge in online job vacancy data, which contains valuable information about the skill demands in the digital labor market. This study aims to extract job competency in the information and technology sector using a combination of KMeans clustering and Non-Negative Matrix Factorization (NMF). A total of 350 job postings were collected from the Kalibrr platform and processed through web scraping, text preprocessing, and feature representation using TF-IDF. The clustering results indicate that the optimal configuration consists of 10 clusters, as evaluated using the Silhouette Score and Davies-Bouldin Index. Each cluster represents a specific job topic, such as backend development, data science, QA automation, cybersecurity, and digital marketing. The results offer a structured overview of digital skill demands and can be utilized by educational institutions, training providers, and labor policy makers. However, the dataset’s limited size, reliance on a single job platform, and the use of traditional machine learning techniques may not capture all semantic variations and complexities present in the broader job market. Consequently, future work should involve larger and more diverse datasets as well as advanced deep learning text representation approaches to enhance the robustness and generalizability of the results. 
DIGITAL TRANSFORMATION OF LOGISTICS MANAGEMENT THROUGH A WEB-BASED BARCODE-INTEGRATED SHIPMENT INFORMATION SYSTEM Nadila Muliana; Edy Rahman Syahputra
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 1 (2026): January 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i1.393

Abstract

This study aims to design and implement a web-based shipment information system integrated with barcode technology to improve the efficiency and accuracy of goods delivery management at PT. Anugerah Fajar. The existing shipment management process relied heavily on manual recording methods, which resulted in data entry errors, delays in updating shipment status, and limited visibility of goods in transit. To address these issues, a barcode-based information system was developed to automate shipment identification, tracking, and reporting processes. The system was developed using the Rapid Application Development (RAD) methodology, which emphasizes iterative development and active user involvement. Data were collected through direct observation, interviews with administrative and field personnel, documentation analysis, and literature review. The proposed system includes core features such as user authentication, shipment data management, barcode scanning using one-dimensional (1D) barcodes, real-time shipment status updates, report generation, and system configuration. The results show that the implemented system successfully improves operational efficiency by reducing manual data entry and minimizing human errors in shipment recording. Real-time barcode scanning enables faster and more accurate shipment status updates, enhancing transparency and control throughout the distribution process. Additionally, the dashboard and reporting features support effective monitoring, documentation, and managerial decision-making. The findings indicate that integrating barcode technology into a web-based shipment information system provides a practical and scalable solution for modern logistics management. This research contributes to the field of information systems by demonstrating the effectiveness of barcode-based digital solutions in improving logistics operations within distribution companies.
WEB-BASED CHURCH WORSHIP SERVICE INFORMATION SYSTEM USING THE SPIRAL MODEL: A CASE STUDY OF GKPI AIR BERSIH Wijaya Sipahutar; Fahrul Rozi Lubis
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 1 (2026): January 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i1.394

Abstract

The church as a religious institution requires effective management to support worship activities, congregation administration, and financial accountability in complex organizational and technological environments today. At GKPI Air Bersih Church, manual recording practices cause data inaccuracies, reporting delays, limited information access, and difficulties in monitoring congregation finances across sectors effectively. This study aims to design and implement a web-based church worship service management information system using the Spiral development model for integrated digital administration. The research employs a system development methodology involving requirement analysis, iterative design, implementation, evaluation, and continuous user feedback throughout multiple development cycles within the church environment. Data were collected through observation, interviews, and document analysis to identify operational needs, workflow limitations, and technical risks within the church context during system planning. The developed system integrates congregation management, worship scheduling, church bulletins, financial transactions, reporting, user management, and website configuration modules into a single centralized web platform. System evaluation using user acceptance testing indicates improved administrative efficiency, higher data accuracy, and increased transparency compared to manual processes previously used by church administrators. Real-time dashboards, automated calculations, and reporting features support informed decision-making, strengthen accountability, and enhance service quality for administrators and congregation stakeholders effectively overall. The application of the Spiral model enables adaptive development, risk mitigation, usability improvement, and alignment between system functionality and user requirements through iterative evaluation cycles. This research demonstrates the effectiveness of web-based information systems in supporting digital transformation within religious institutions and community organizations with limited technical resources available.
INVENTORY FORECASTING INFORMATION SYSTEM USING THE WEIGHTED MOVING AVERAGE METHOD AT TITA'S STORE Amuharnis; Iswandi; Rahmi, Lidya; Adriyendi
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 1 (2026): January 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i1.419

Abstract

Inventory management is a crucial factor in retail operations as it influences cost efficiency, sales continuity, and customer satisfaction. In small-scale retail businesses, inventory planning is often performed manually, increasing the risk of overstock and stockout conditions. This study aims to develop a web-based inventory forecasting information system using the Weighted Moving Average (WMA) method to support effective inventory planning. The system integrates item data management, sales transaction recording, and demand forecasting within a single platform. The WMA method is applied to 12 months of historical monthly sales data using a three-period forecasting window with an optimized weight configuration of 5–1–7 to emphasize recent demand patterns. Forecasting accuracy is evaluated using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). A case study conducted at Toko Tita shows that the WMA method outperforms the Simple Moving Average method by producing lower MAD and MAPE values, indicating better responsiveness to short-term demand fluctuations. The results demonstrate that the proposed system provides reliable quantitative information to support inventory procurement decisions, reduces manual calculation errors, and improves operational efficiency. Although forecasting errors increase during extreme demand changes, the system is practical and effective for daily inventory management in small retail businesses.
The Effect Of Information Asymmetry, Firm Size, Financial Distress And Capital Structure On Firm Value Liberti, Pratiwi; Sisi Wardani
Journal of Accounting and Auditing Vol. 2 No. 2 (2026): January 2026
Publisher : Yayasan Az Zukhruf Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65440/jaa.v2i2.163

Abstract

Purpose – This is study aims to test and analyze the relationship between the influence of Information Asymmetry, Firm Size, Financial Distress and Capital Structure on Firm Value  Design/methodology/approach – This study uses a quantitative research approach with secondary data. The sample consists of 57 companies in the primary consumer goods sector (consumer non-cyclical) listed on the Indonesia Stock Exchange between 2022 and 2024. The analysis technique used to test the hypothesis is multiple regression analysis using Eviews 9 software.  Findings – The results of this study indicate that information asymmetry affects firm value, firm size variables affect firm value, financial distressand variables affect firm value and capital structure variables do not affect firm value.  Research limitations/implications – This is study was conducted only on the primary consumer goods sector (consumer non-cyclical) during the period 2022-2024. The findings provide instights based on secondary data obtained from company annual report and are expected to be useful for company management, investors, capitas market regulator. And future researchers in understanding the factors that affect firm value.   JEL : G30,G32,G82
The The Effect Of Internal Control, Integrity, Information Asymmetricity On The Tendency Of Accounting Fraud Viana, Yolanda Kerla; Rahayu, Sri; Herawaty, Netty
Jurnal Cakrawala Akuntansi Vol. 15 No. 1 (2023): Jurnal Cakrawala Akuntansi
Publisher : Faculty of Economics and Business Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jca.v15i1.46739

Abstract

This study aims to examine the influence of internal control variables, integrity and information asymmetry on the tendency of accounting fraud in the Regional Apparatus Organization (OPD) of the Jambi Provincial Service. This study uses a purposive sampling technique. The sample of this study was the head of the service, secretary and head of the finance and asset section of each OPD of the Jambi Provincial Service. Data collection was carried out by distributing questionnaires to 54 respondents, and only 41 questionnaires could be used. Data processing used SPSS 22.0 software. The results of the instrument quality test consisting of validity and reliability tests showed that all question items were valid and reliable. The results of the hypothesis test showed that simultaneously the performance measurement system, Integrity and Information Asymmetry influenced the Tendency of Accounting Fraud, while the Internal Control variable did not influence the Tendency of Accounting Fraud.
AI-ENABLED MANAGEMENT INFORMATION SYSTEMS FOR CREDIT AND MARKET RISK PREDICTION: EFFECTS ON ACCOUNTING DECISION QUALITY Ahmed, Md. Jobayer
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 11 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i11.438

Abstract

Objective: This study aims to examine the role of Artificial Intelligence (AI) in enhancing financial risk management and accounting decision-making, with a particular focus on credit and market risk prediction, efficiency of Management Information Systems (MIS), and the accuracy of financial reporting. Method: The study adopts a conceptual and analytical approach by synthesizing recent scholarly literature and real-world practices from financial institutions to evaluate the application of AI techniques, including machine learning and natural language processing, in risk assessment and accounting processes. Results: The findings indicate that AI-powered MIS significantly improves the speed, precision, and reliability of risk prediction and accounting operations by enabling real-time data analysis, anomaly detection, and automation of routine accounting tasks. These capabilities reduce human error, enhance regulatory compliance, and support more informed managerial decisions. However, the results also reveal critical challenges related to data quality, model transparency, algorithmic bias, governance structures, legal accountability, and high implementation costs, which may hinder effective adoption if not properly managed. Novelty: This study highlights the integrated perspective of AI-driven risk management and accounting while emphasizing the necessity of ethical governance frameworks and the future potential of combining AI with emerging technologies such as blockchain and the Internet of Things to build resilient and transparent financial systems.
Development of an Information Website as a Publication Medium for the Malikussaleh Airport Organizing Unit in Lhokseumawe Raihansyah, Khananda; Asrianda; Muhammad Fikry
Teewan Journal Solutions Vol. 2 No. 4 (2025): Desember
Publisher : Teewan Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/c8sdmf21

Abstract

Malikussaleh Airport currently uses social media such as Instagram to share information, which results in limited information accessibility for visitors regarding news, profiles, and airport activities. This study aimed to develop a website-based information system to facilitate employees in disseminating information and ease public access to updated airport news. The system was built using PHP programming language, MySQL database, and designed through Data Flow Diagrams (DFD). The implementation produced an informative and accessible platform that allows the airport management to provide transparent news, flight updates, and activity galleries. The results showed that the website effectively improved the information distribution process compared to previous social media-only methods.
Information System Audit Based on ISO/IEC 27001: A Case Study of a Culinary Small and Medium Enterprise Mira Agustina; Andini Syahputri; Rizky Natasya; Neng Sri Wardhani
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.93

Abstract

Small and Medium Enterprises (SMEs) increasingly rely on information systems to support operational efficiency, customer management, and financial transactions. However, limited awareness and resources often cause SMEs to neglect information security governance, exposing them to data breaches and operational risks (ENISA, 2021). This study aims to evaluate the effectiveness of information security controls in a culinary SME using the ISO/IEC 27001 framework. A qualitative case study approach was employed, involving document analysis, interviews, and observation of information system practices within the organization (Yin, 2018). The audit results reveal several gaps in information security implementation, particularly in access control, risk assessment, and incident management. These findings indicate that although basic controls are in place, the SME has not yet aligned its practices with ISO/IEC 27001 requirements. This study contributes by providing a practical audit model for SMEs to improve information security governance in a cost-effective and structured manner (ISO, 2022).

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