Moving Beyond Basic Asset Recording
Asset management can become complicated when organizations rely heavily on spreadsheets, manual records, and physical documents. These approaches can make it difficult to track assets, increase the possibility of recording errors, fragment information, and delay reporting and decision-making. Enterprise Resource Planning (ERP) systems offer an alternative by bringing organizational information into an integrated digital environment.
The study examined MyERP Plus, a cloud-based ERP system developed by PT Universal Big Data in Indonesia. Before the new development, its fixed asset functionality primarily supported depreciation calculations. Important activities such as maintenance, revaluation, disposal, and condition monitoring were not yet fully integrated into the system.
The new module was developed to provide a more complete approach to asset lifecycle management.
Four New Functions Added to the System
The newly developed module introduced four main functions: maintenance and repair, revaluation, disposal, and reporting. These functions were integrated into the existing ERP environment so that asset information could be managed through a centralized system.
The maintenance function allows organizations to record schedules, repairs, costs, and asset conditions. The revaluation feature updates asset values while preserving historical information. Meanwhile, the disposal function provides a more structured way to document assets that are removed from organizational records.
The reporting function brings together asset information into more comprehensive reports, supporting monitoring and accountability. According to the study, these integrated functions can reduce manual record keeping, improve information accessibility, and support better control over asset-related activities.
Developed Using the ADDIE Model
The researchers used a research and development approach based on the ADDIE model, consisting of Analysis, Design, Development, Implementation, and Evaluation. The study was conducted at PT Universal Big Data, with data collected from developers, business analysts, and prospective users through interviews, observations, and document analysis.
The researchers also compared conditions before and after implementation. The evaluation focused on operational efficiency, data integration, asset monitoring, reporting quality, and automation.
During implementation, the new module was tested through deployment, system access, menu navigation, transaction processing, and reporting. The study reported that the module was successfully integrated without disrupting other system operations.
Validation Shows High Feasibility
The technical validation produced strong feasibility results. An IT expert gave the module a score of 55 out of 56, or 98.21%, categorized as highly feasible. An Accounting Information Systems expert gave a score of 50 out of 60, or 83.33%, categorized as feasible.
The reviewers also provided suggestions for further improvement. Among them were greater consistency in the user interface and menus, as well as a dedicated section for land assets.
The results indicate that the module was considered technically and functionally suitable for implementation, while still leaving room for refinement.
Users Reported 76% Satisfaction
The study also gathered feedback from three users. Their satisfaction scores were 76%, 74%, and 78%, resulting in an average satisfaction level of 76%. Users suggested improvements related to report completeness, information presentation, system flexibility, and future visualization features.
Beyond user satisfaction, the implementation was associated with improvements in data integration and workflow automation. The researchers reported that the system reduced information fragmentation and administrative effort while potentially lowering the risk of human error.
Integrated monitoring and reporting also provided users with greater visibility of asset conditions and transactions, which can support organizational governance, transparency, and management decision-making.
From Depreciation to Full Asset Lifecycle Management
A comparison between the previous and new systems highlights the main change. Both systems could handle basic asset recording and depreciation. However, the new module expanded functionality to include maintenance, revaluation, disposal, and more comprehensive reporting.
The previous system offered limited lifecycle monitoring, while the new system integrated these activities into a broader asset management process.
This shift is significant because organizational assets can require attention long after their initial purchase. Maintenance costs, changes in value, operational condition, and eventual disposal can all affect how organizations manage their resources.
By bringing these activities together, the new module provides a centralized source of asset information rather than requiring users to rely on separate records.
Future Development Could Expand the System
The researchers identified several areas for future development. These include additional user training and infrastructure improvements, greater reporting flexibility, data visualization, stronger integration with other ERP modules, and expanded support for land assets.
Other proposed developments include bulk data import, predictive maintenance capabilities, and interactive dashboards. The study also recommends testing the system with broader groups of users and organizations to examine its longer-term impact.
Overall, the study by Wahyu Tri Utami, Jaswadi, and Nur Indah Riwajanti shows how an ERP-based asset management module can move beyond basic depreciation records toward a more integrated asset lifecycle system. The reported improvements in data integration, operational efficiency, monitoring, and reporting demonstrate the potential value of digital asset management for organizations seeking more structured and transparent resource management.
About the Authors
The article was written by Wahyu Tri Utami, Jaswadi, and Nur Indah Riwajanti from the State Polytechnic of Malang. The source article does not provide additional author profile information such as specific academic degrees or individual research specialties, so those details are not added here.
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