Asset Management System Research Articles

Asset management knowledge graph for production plants in process industry

Abstract The introduction and adoption of various semantic models for describing assets within a plant have paved the way for new opportunities. This contribution centers on the establishment and continuous maintenance of a plant asset management system based on knowledge graphs, utilizing the information contained in various semantic models. Additionally, it highlights how the graph can be leveraged in the creation and configuration of AI-based anomaly detection models, aimed at the monitoring of measurement values in a process plant. The concept paves the way for the wide deployment of AI models in monitoring applications in process industry.

Village Asset Management Innovations Through Application-Based Systems

Background: Effective asset management in rural areas is vital for transparency and accountability in village governance. Specific Background: This study examines the management of village assets through the Village Asset Management System (SIPADES). Knowledge Gap: Despite its implementation, many villages struggle with systematic asset management, raising concerns about regulatory compliance and efficiency. Aims: The research aims to analyze current asset management practices using SIPADES and identify challenges faced by local administrators. Results: Findings reveal that while SIPADES offers a structured framework, issues with data collection and adherence to regulations hinder its effectiveness. Novelty: This study highlights the need for improved training for local operators in digital asset management. Implications: Enhancing administrators' capacity in SIPADES can lead to better asset management outcomes, promoting accountability in rural governance and aligning practices with national regulations, crucial for sustainable development. Highlights : Structured Framework: SIPADES provides a systematic approach to asset management in villages. Training Needs: Enhanced training for local administrators is essential for effective system utilization. Regulatory Alignment: Addressing compliance issues is crucial for promoting accountability and sustainable development. Keywords: asset management, rural governance, SIPADES, regulatory compliance, transparency

Strategi Pengelolaan Aset Desa Berbasis Aplikasi Sistem Pengelolaan Aset Desa (Sipades) Di Desa Kekeri Kecamatan Gunungsari Kabupaten Lombok Barat

This research is based on the results of observations which found several problems in the Village Asset Management Strategy Based on the "SIPADES" Village Asset Management System Application in Kekeri Village, Gunungsari District, West Lombok Regency, namely: Lack of direction from the Social, Community and Village Empowerment Service regarding guidelines for using the System application Village Asset Management, there is no special emphasis on the use of the Village Asset Management System application, there is no updating of the Village Asset Management System application every year. The aim of this research is to determine the Village Asset Management Strategy Based on the "SIPADES" Village Asset Management System Application in Kekeri Village, Gunungsari District, West Lombok Regency. This research is a descriptive study with a qualitative approach. To obtain information and data, researchers used semistructured interviews and documentation methods. The inhibiting factors were lack of budget due to not having original village income and funds not being received on time, lack of guidance and competency improvement from related agencies, the Sipades application had not been running optimally and was still not can access. Efforts made to overcome obstacles include budgeting a larger budget, seeking budget from other income by increasing the PADes or from third party donations and further efforts by exchanging budget functions first, holding training related to village asset management and bringing in parties related to village asset management to provide guidance to village officials, BPD, LPM budgeted from the APBDes.

IMPLEMENTASI E-GOVERNMENT MELALUI APLIKASI SISTEM PENGELOLAAN ASET DESA (SIPADES) DI DESA DUKUHSARI KECAMATAN JABON KABUPATEN SIDOARJO

The study aims to describe and analyze how implementation of e-government through the village asset management system application in the Dukuhsari Village Jabon District Sidoarjo Regency. The study uses qualitative descriptive data collection techniques through interviews, observation, and documentation. The data analysis model in this study is data collection, data reduction, data presentation, and drawing conclusions. Results from the study indicate that an organizational indicator, there is an organizational structure in the Dukuhsari Village government and the government has provided a facility for implementing the asset management system application, but there is still a lack of human resource capabilities. From the interpretation indicator in the socialization dimension, the policy has not been optimal because of the lack of suitable socialisation to so the operator does not understand the procedures for using the asset management system application. In the application dimension, it shows that the technical conditions experienced obstacles in the form of frequent application often errors during working hours thus disrupting the operator from inputting village assets into the asset management system application.

Implementasi Sistem Pengelolaan Aset Desa (SIPADES) di Kecamatan Bengkalis

This study aims to evaluate the implementation of the Village Asset Management System (SIPADES) in Bengkalis Regency. The focus of the research was to assess the effectiveness of this system in helping village officials manage assets. The research was conducted in six villages using a descriptive qualitative method. Data collection was conducted through reduction, presentation and conclusion drawing. The results showed that villages in Bengkalis Regency had implemented SIPADES well. Village operators, although most of them were only high school graduates, were able to master SIPADES thanks to intensive training. However, the main obstacles are network limitations that cause system errors and downtime, disrupt operational efficiency and stability of village asset management, and make it difficult to track data in real-time. Overcoming these problems requires improved technology infrastructure and better support so that SIPADES can run smoothly and effectively in all villages.

Development of Geospatial Asset Management System for Higher Education

Abstract: The integration of Geographic Information System (GIS) for asset management was addressed in this study. Geographic Information System (GIS) as a decision support system was integrated within the process of asset management to strengthen the monitoring of tangible assets within the organization. The main objective of this study is to design and develop a Location-Based Asset Management Application System. A waterfall model was utilized to create the system. GeoJSON was used to represent geographical features or attributes of the data gathered. A standardized adapted evaluation form was used to determine the Functionality, Performance, Robustness, and Workmanship of the developed application and interpreted using descriptive analysis. The analysis shows that the developed system is excellent in terms of Functionality, Performance, Robustness, and Workmanship. Based on the study's findings, the developed spatial asset management system is an effective way of monitoring and delivering asset management information and resources to its various constituents. It is highly recommended that a designed system should be utilized and use the developed systems to proactively respond and adapt to the modern world in delivering and managing resources.

A national survey and roadmap on complete streets infrastructure asset management policy

Complete Streets are being implemented across the US, and transportation agencies need to incorporate them into asset management systems cost-effectively maintain functionality. Although there has been a range of progress at the state level, many gaps need to be filled to include Complete Streets in asset management policies and improve practices, and there is no national guidance or comprehensive plan to achieve this. This study developed a roadmap to fill those gaps regarding infrastructure asset management. To create this roadmap, the study completed the following tasks: 1) develop and implement a survey supplement it with in-depth surveys with several agencies, 2) synthesize survey outcomes, 3) identify current statuses, challenges, and needs, and 4) develop a roadmap for Complete Streets infrastructure asset management. All 50 state transportation departments participated in the national survey. This paper synthesizes the outcomes of the surveys and literature review. The survey results showed that many agencies have some Complete Streets guidance (39/50), but only seven agencies have Complete Streets performance measures and no agency has bike/ped specific condition measures. The three primary challenges are: 1) inadequate funding related to organizational structure 2) the need for performance measures, and 3) the need for improved data accessibility, collection methods, and management techniques. The proposed Roadmap to Complete Streets Asset Management Policies includes pathways for 1) asset management performance measure development and 2) data collection and analysis. The roadmap organizes existing needs into a step by step framework for incorporating Complete Streets into infrastructure asset management programs and policies. Policy implications include the need for network-level performance measures and targets that the entire agency is responsible for, improved data collection techniques, and internal structural adjustments to encourage collaboration and data sharing within departments of transportation.

How to Construct a Carbon Asset Management System for Chinese Power Enterprises: A Survey-Based Approach

The greenhouse effect of atmospheric pollution is globally concerning. China is transitioning to market-driven emission reduction from policy-driven efforts. In 2021, key power industry emitters were included in the national carbon trading market. However, many companies lack willingness and understanding of carbon assets, hindering progress. Research on power companies in Beijing, a political and carbon market pilot region, is valuable. This study obtained data on the participation of Beijing’s power generation companies in the carbon market and the construction of their carbon management systems during the first compliance period through the distribution of surveys. The findings revealed that the implementation and preparation of carbon inventory, Chinese Certified Emission Reduction (CCER) development, the allocation of carbon management personnel, and training are key factors influencing the actual effectiveness of carbon management within companies. Based on the survey results and the impact pathways, this study outlines the preparatory work, system content, and construction steps for power companies to build a carbon management system. It summarizes five key areas of work for power companies in managing carbon assets: carbon inventory, carbon management personnel and mechanisms, carbon trading, carbon emission reduction, and carbon finance. This provides guidance to help power companies fulfill their obligations smoothly, add value to their carbon assets, and achieve low-carbon development goals. Additionally, it offers a reference for other industry enterprises that are about to enter carbon trading.

ANALISIS PEMANFAATAN ASET NEGARA TANPA IZIN MENURUT PANDANGAN HUKUM ISLAM

This research was conductes to see how state are used without permission according to the view of islamic law, with the research location at a souvenir kiosk in the Sigli City area hereby to see what factors cause the use of state assets without permission,as well as what is the view according to islamic law regarding the use of state facilities without permissiin in the Sigli City area. The method used is to collect sources, namely, library research an using the field research method.this model can explain the use of state assets without permission according to Islamic law, of caourse it is not recommended in Islam, but due to the economic crisis and the lack of employment in Pidie Regency, the community sees the opportunities that exist, but this is also not justified therefore "That’s why the governmnet muct think about what should be done for the benefit of spciety in creating a productive society and implementing a state asset management system that is in accordance with state regulations and sharia provisions.."

INTERNAL CONTROL ON MILITARY ASSETS ACCORDING TO MILK AL-DAULAH IN ISLAMIC ECONOMIC LAW

This article aims to examine the internal control system of national military assets in Indonesia at the Kuta Alam Banda Aceh barracks, reviewed according to the concept of milk al-daulah. The approach taken by the author is a juridical-empirical study. The research findings indicate that to address issues in the internal control system of assets in the Indonesian National Army (TNI) at the Kuta Alam Banda Aceh barracks, a holistic approach is required to effectively tackle existing challenges. It is crucial to update and refine the inventory process to ensure that asset data is more accurate and current. Implementing an integrated, technology-based asset management system will facilitate tracking and monitoring. Furthermore, asset maintenance should be scheduled regularly and its implementation should be ensured to prevent damage that could increase repair costs. Enhancements in surveillance technology, such as modern CCTV and access control systems, are essential to reduce the risk of theft and damage. Compliance with policies should be strengthened through intensive training and consistent enforcement to ensure procedures are properly followed. Risk management also needs improvement with more effective and proactive mitigation strategies. Additionally, the use of advanced technology can support efficiency in asset management and reporting. Transparency should be increased by providing clear and accessible reporting mechanisms, while budget management should be improved to ensure efficient allocation. Regular personnel training is important to keep their skills relevant, and routine audits and evaluations should be conducted to maintain the effectiveness of the internal control system.

Financial Application for the STMIK Mardira Indonesia Educational Institution

The waqf asset management system is essential for maximizing and optimizing the managed assets to achieve the highest and most favorable outcomes. A professional waqf institution in Bandung possesses waqf assets dispersed throughout several regions in Indonesia, and its management has successfully reached the level of optimizing productive waqf. Nevertheless, waqf assets are managed manually, leading to slower and worse management practices. This research aims to address the issue of managing waqf assets by applying ISO 55001 to the waqf asset management system in a selected professional waqf institution in Bandung. The research approach employs descriptive analysis with the Object-Oriented Software Engineering (OOSE) system development process. The results reveal eight functions based on 8 and 9 criteria that should be present in the asset management system according to ISO 55001. The program incorporates these eight functionalities and achieves a System Usability Scale (SUS) score of 84.6, signifying a B grade and outstanding acceptance. The ISO 55001 certification readiness level is 57.14%, as determined by the ISO 55001 Self-assessment conducted by the British Standard Institute (BSI). The researcher utilized Black Box testing to evaluate the program's functionality, and the findings indicate that all operations are functioning as anticipated.

Analysis and Design of a Web Based Fixed Asset Processing System in PT. Suka Maju

financial reports issued by the finance department Problems that often occur at PT. Suka Maju is the whereabouts of fixed assets that are unknown, whether they are still in the warehouse or have been moved to another outlet/center. This is because sometimes the company opens a new branch or the head of the outlet needs fixed assets, then HR/GA moves the fixed assets from the warehouse to the outlet. Without communicating/reporting with central management so that central management does not know the position of the fixed assets. This results in central management not knowing the position of these assets and fixed asset reports not being in accordance with actual conditions. The main objective of this research is to design and develop a system that can manage company fixed assets effectively and efficiently by utilizing web technology. This system is expected to be able to increase accuracy and speed in the process of recording, tracking and managing fixed assets at PT Suka Maju. The research methodology used includes the needs analysis, system design, development and testing stages. At the needs analysis stage, interviews and observations were conducted to identify the needs and problems faced in managing fixed assets in the company. The results of this analysis become the basis for system design which includes database design, user interface, and system functionality. The research results show that this web-based fixed asset management system is able to increase the efficiency and effectiveness of asset management at PT Suka Maju. System users report improvements in the speed of access to information, accuracy of asset data, and ease of reporting and auditing assets. Thus, it is hoped that this system can be the right solution for PT Suka Maju in managing their fixed assets better

SGAM – Smart Geotechnical Asset Management

SGAM (Smart Geotechnical Asset Management) is a service provided through a web-platform running the cloud-based Software as a Service (SaaS) or via API to connect external systems with our service. It represents an innovative and semi-automatic decision-making supporting system for asset management and predictive maintenance purposes to improve the financial resilience of assets, taking advantages of innovative data-fusion algorithms and satellite Earth Observation (EO) technologies (e.g., A-DInSAR and PhotomonitoringTM). SGAM focuses on the risks related to structures and infrastructures, analysing their interaction with the local geological and environmental context, by automatically evaluating the direct or potential future interferences with geohazards (e.g., landslides, floods, fires). The service aims to support Decision Makers in defining and prioritizing the maintenance operations based on the asset vulnerability and loss scenarios. This goal is reached through the integration of the big amount of archived and newly acquired EO data, the available worldwide and regional geodatabases, the information collected by field surveys or other ground-based Structural Health Monitoring and Geotechnical/Geomorphological Monitoring systems, and the proven scientific know-how and experience of the proponent team on geohazards effects in the civil engineering field. SGAM is also designed to be able to implement satellite products from new future space missions, ensuring a vision oriented to the maximum exploitation of the most recent technologies. These components are managed and analysed by specific Process Automation solutions, based on Artificial Intelligence, allowing for a redundant first-level risk-based priority action assessment for cost-effective and optimized maintenance investments.

Influencing Factors Analysis IoT Adoption in Indonesian State Housing Management Information System

The Internet of Things (IoT) has revolutionized asset management in Smart Homes. In Indonesia, one of the biggest struggles in implementing emerging technology in the e-government system is connecting the users' behavioral intention with the suitability of the type of work and the technological convenience offered. A technology acceptance and use model is proposed to address this issue by analyzing the correlation between IoT adoption in asset management. The model draws insights from two complementary methods: user behavioral intention predicts utilization, and task-technology fit predicts performance with moderating factors analysis. The study finds that social influence, hedonic motivation, and price value factors are compelling users' intentions to adopt the Internet of Things in asset management. The IoT technology is deemed worth the price for asset management, particularly for state residences, due to its automation, accuracy, and real-time features. It also enhances decision-making, as the asset information is more reliable and secure. This study enriches moderating factors analysis to study the effect of technology adoption. Additionally, research on asset management systems still needs to be improved, especially in the government sector. In conclusion, this study provides insights into adopting IoT in the government sector and its potential to transform asset management.

Fuzzy Rule Based System of Optimal Pavement Maintenance and Rehabilitation Strategies for Yangon-Mandalay Expressway

Purpose: Systematic pavement management plays a vital role in the better Road Asset Management system. The lifespan of pavement can be preserved and prolonged by adequate maintenance measures in proper time. By early detection and repair of defects at initial stages with predictive maintenance reduces the rapid deterioration of the pavement. Moreover, inaccuracy in pavement deterioration prediction leads to an improper maintenance with wastage of time, cost and labor strength. To overcome all of these obstacles, this paper attempts an approach on optimal pavement maintenance strategy by means of fuzzy rule-based system. Materials and Methods: In this research, four pavement indicators of PCI, IRI, PSR and PSI have been taken into account as antecedents and five different types of pavement maintenance as consequents. In this research, ASTM D-6433, Road Lab Pro software, AASHTO guidelines and Fuzzy Logic (Mamdani) model have been used to evaluate the current pavement condition and optimal pavement maintenance strategies. Findings: According to research area, 130 total pavement sample units were undertaken to study for the mean pavement condition of PCI value 54.93 (poor), IRI 7.01 (fair), PSR 3.33 (fair) and PSI 3.35 (fair). Due to 13 years-old life span of traffic volume, temperature and other external factors, this expressway is suffering from potholes, bleeding, longitudinal and transverse cracking, weathering, joint reflection cracking for Asphalt Concrete (AC) overlay and linear cracking, joint seal failure, scaling, faulting, depression, lane/shoulder drop off for existing concrete pavement. According to the fuzzy logic model results, 42 numbers of fuzzy If-Then maintenance rules were verified as the most relevant pavement maintenance and rehabilitation strategies for Yangon-Mandalay Expressway. Implications to Theory, Practice and Policy: This research provide implications to the study and contributions to theory, practice and policy. This research paper insights into effective infrastructure maintenance and investment, emphasizing the role of advanced computational techniques in transportation economics. The key advantage of this research paper is to be effective, supportive, easy and accessible decision-making tool for transportation and pavement engineers, expressway planners and highways department authorities especially from developing countries.

365‐day sectional work zone schedule optimization for road networks considering economies of scale and user cost

AbstractThis study proposes a methodology for deriving the optimal work zone schedule for the annual routine maintenance planning in an infrastructure asset management system considering the (i) economies of scale in work zone costs due to work zone synchronization and (ii) user costs across the road network with traffic assignments. A key aspect of the proposed methodology is the ability to derive in detail optimal work zone schedules of realistic‐scale road networks in 100 m sections for 365 days, which is beneficial in practice. To this end, an optimization model of the work zone schedule is newly formulated as a mixed‐integer programming (MIP) problem, and a novel bilevel solution method for the model utilizing the conventional solver Gurobi Optimizer with MIP algorithms such as root relaxation, dual simplex, barrier methods, and cutting planes is proposed. In application examples, the proposed methodology is applied to two real‐world road networks, which confirms that the optimal work zone schedule can be obtained in 313.7 s for a network with 2640, 100 m, sections and in 168,180 s (46 h and 43 min) for a network with 5038, 100 m, sections.

Blockchain Revolution in Asset Management: A Comprehensive Analysis and Implementation Framework

A project that presents the harnesses blockchain technology to develop a Token Asset Management System (TAMS) aimed at revolutionizing conventional asset management practices. TAMS leverages the decentralized and transparent nature of blockchain to create digital tokens representing ownership or rights to various assets. These tokens enable fractional ownership, streamlined trading, and automated execution of smart contracts for dividends and voting. The project's primary objectives are to enhance efficiency, security, and transparency in asset management. By digitizing assets and recording transactions on an immutable ledger, TAMS reduces the need for intermediaries, minimizes administrative costs, and ensures auditability. Smart contracts automate key processes, improving accuracy and trust among participants. The project's implementation involves selecting an appropriate blockchain platform, designing token standards, creating an intuitive user interface, and adhering to regulatory requirements. The potential challenges of scalability and legal compliance are also considered. In summary, the Token Asset Management project exemplifies blockchain's potential to transform asset management. Through tokenization and blockchain's features, TAMS aims to establish a modernized ecosystem that offers efficient, secure, and transparent asset management solutions.

A review of asset management using artificial intelligence‐based machine learning models: Applications for the electric power and energy system

AbstractPower system protection and asset management present persistent technical challenges, particularly in the context of the smart grid and renewable energy sectors. This paper aims to address these challenges by providing a comprehensive assessment of machine learning applications for effective asset management in power systems. The study focuses on the increasing demand for energy production while maintaining environmental sustainability and efficiency. By harnessing the power of modern technologies such as artificial intelligence (AI), machine learning (ML), and deep learning (DL), this research explores how ML techniques can be leveraged as powerful tools for the power industry. By showcasing practical applications and success stories, this paper demonstrates the growing acceptance of machine learning as a significant technology for current and future business needs in the power sector. Additionally, the study examines the barriers and difficulties of large‐scale ML deployment in practical settings while exploring potential opportunities for these tactics. Through this overview, insights into the transformative potential of ML in shaping the future of power system asset management are provided.

Charting the course: Essential elements of a digital asset management governance framework

While we all agree digital asset management (DAM) systems are valuable, effective governance often falls by the wayside. However, governance is the key to ensuring a successful DAM journey. This paper argues that strong governance serves as the foundational key to maximising the return on DAM investment. More than just guardrails, it fosters collaboration, streamlines workflows and empowers data-driven decision making. Beyond user adoption and seamless integrations, well-defined governance impacts brand consistency, security and compliance, efficiency and cost savings, and data-driven insights. Governance provides guardrails for asset creators through consumers of content, and can impact user adoption, integrations and the overall success of DAM implementation. This is why it is so important to set aside the time to establish, document and enforce governance across the organisation. This paper explores core focus areas for establishing a robust DAM governance framework, empowering organisations to navigate the vast ocean of digital assets with clarity, efficiency and ultimately, success.

Case study: The Historic Media Collection at Seattle Art Museum

The Historic Media Collection in the Seattle Art Museum’s Research Libraries & Archives is a unique collection of exclusively audiovisual materials that tell the history of the institution from its founding in 1933 up to 2019. With approximately 3,000 unique items on physical legacy formats of film, video and audio, establishing the collection and making it available to museum staff and researchers has been a long and ongoing journey. With the recent award from the National Endowment for the Humanities, the digitisation, preservation and access to these materials has been prioritised. This paper provides a brief history of the collection along with a more in-depth look at the challenges and considerations in selecting a digital asset management system appropriate for the collection.