INFORMATION PLATFORM FOR AUTOMATING THE PROCESSES OF ACCOUNTING FOR DAMAGED CITIZENS’ PROPERTY - Научное сообщество
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INFORMATION PLATFORM FOR AUTOMATING THE PROCESSES OF ACCOUNTING FOR DAMAGED CITIZENS’ PROPERTY

01.03.2026 21:22

[1. Systemy i technologie informacyjne]

Автор: Volodymyr Tokariev, PhD, Associate Professor of the department of Information systems Simon Kuznets Kharkiv national university of economics; Kyrylo Skrynnyk, bachelor, department of Information systems, Simon Kuznets Kharkiv national university of economics


ORCID: 0000-0002-7143-6165 V.Tokariev 

Under modern conditions, digital transformation is a key factor in improving the efficiency of governmental and municipal processes, particularly in the field of reconstruction and compensation for property lost as a result of emergency situations. The e-Recovery system, introduced in Ukraine in response to the challenges caused by the full-scale invasion of 2022, has become an important tool for automating the accounting of damaged and destroyed citizens’ property, as well as ensuring a transparent compensation mechanism.

The e-Recovery system is an information platform designed to automate the processes of accounting for citizens’ property damaged or destroyed as a result of military, sabotage, or terrorist actions. This system represents an important component of the national strategy aimed at overcoming the consequences of the war and rebuilding the country. The e-Recovery system is integrated with the State Register of Property Damaged and Destroyed as a Result of Hostilities, as well as with the government services portal “Diia,” enabling citizens to submit compensation applications electronically. The system processes information about damaged assets, provides their classification, performs damage assessment, determines restoration priorities, and forms compensation mechanisms. The system includes a specialized module titled “Analysis of the Use of Certificates for Lost Housing.”

Structurally, the “Analysis of the Use of Certificates for Lost Housing” module is integrated into the overall architecture of the e-Recovery system of local government authorities and interacts with other subsystems to ensure comprehensive analysis of the effectiveness of the compensation program. The certificate usage analysis module consists of several interconnected components that provide a complete monitoring and analytics lifecycle. The issued certificate accounting component accumulates all information related to issued housing certificates, including their nominal value, validity period, and recipients’ personal data. The certificate usage monitoring component tracks the status of each certificate from the moment of issuance until its actual use or cancellation.

The analytical component provides in-depth data analysis regarding certificate utilization across multiple parameters, including geographical distribution, time dynamics, recipient categories, and financial indicators. The reporting component is responsible for generating structured analytical reports for various management levels within local government authorities, including visualization of key program performance indicators. The control component verifies the targeted use of funds allocated through certificates by interacting with banking institutions and real estate registries. The forecasting component uses accumulated data to model future housing stock needs and optimize resource allocation at the regional level.

The “Analysis of the Use of Certificates for Lost Housing” module interacts with the registration and accounting subsystem, receiving up-to-date information on damaged and destroyed property. From the assessment subsystem, the module receives data regarding asset status and calculated compensation value. Particularly close integration is implemented with the resource allocation subsystem, which provides information on the formation and issuance of housing certificates.

Література:

1. L.E. Gryzun, V.V. Tokariev. Mobile applications design for digital education: IT-students’ engagement experience on conditions of online learning the course "Mobile technologies". Proceedings of the 2nd Workshop on Digital Transformation of Education, located with the 18th International Conference on ICT in Education, Research, and Industrial Applications: (ICTERI 2023). CEUR Workshop Proceedings, 2023. Ivano-Frankivsk. Ukraine, рр. 110-123. Available: https://ceur-ws.org/Vol-3553/paper15. 

2. Токарєв В., Ільїна І., Шевченко І., Гриценко І. Про один підхід до рішення асиметричної TSP - задачі при B2C доставках за допомогою платформи "Swarm-bot" - system у фізичному неорганізованому середовищі. Системи управління, навігації та зв'язку, 2023. - №4(74), cc. 110-113. 

Available: doi: 10.26906/SUNZ.2023.4.110.

3. Koshovyi M. D., Pylypenko O. T., Ilyina I. V., Tokarev V. V. Growing tree method for optimization of multifactorial experiments, Radio Electronics, Computer Science, Control, 2023. - № 3, pp. 55-61. Available: doi.org/10.15588/1607-3274-2023-3-6.

4. Токарєв В. В. Розробка ефективної методики хмарного тестування / В.В. Токарєв // Modern engineering and innovative technologies : the International periodic scientific journal. – 2025. - Issue No41. Part 1. - C. 146 – 151.Available:

https://www.moderntechno.de/index.php/meit/issue/view/meit41-01/meit41-01.

5. Ільїна І.В., Токарєв В.В., Яковлєв А.В., Шевченко І.І. Використання системи підтримки прийняття рішень для організації гуманітарної логістики, Системи управління, навігації та зв'язку, 2024, №1(75), cc. 88-91. Available: doi: 10.26906/SUNZ.2024.1.088.



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