ANALYSIS OF THE USE OF CERTIFICATES FOR LOST HOUSING
02.03.2026 13:32
[1. Information systems and technologies]
Author: Volodymyr Tokariev, PhD, Associate Professor of the department of Information systems, Simon Kuznets Kharkiv national university of economics; Alona Beda, bachelor, department of Information systems, Simon Kuznets Kharkiv national university of economics
Existing approaches to analyzing the use of housing certificates within the e-Recovery system are characterized by an insufficient level of automation and analytical depth. Housing certificates provided to affected citizens are financed from multiple sources, including the state budget, international technical assistance programs, and private donor funds. The absence of a unified mechanism for monitoring and analyzing the effectiveness of certificate utilization leads to data fragmentation, the inability to conduct a comprehensive evaluation of the compensation program, and reduced target efficiency in the use of allocated funds.
The current procedure for analyzing the use of housing certificates is based on basic statistical indicators; however, their processing is performed predominantly in a semi-automated mode, which creates risks of errors and limits analytical capabilities. Increasing the level of automation of analytical processes is necessary to ensure an in-depth evaluation of the effectiveness of the housing certificate program, which plays a key role in providing compensation to affected citizens.
The assessment of the effectiveness of housing certificate implementation across different categories of recipients is carried out without adequate consideration of multicriteria factors. Existing systems do not provide dynamic analysis of regional characteristics related to certificate utilization and do not allow the prompt identification of problematic aspects in the implementation of the compensation program. This results in inefficient use of budget funds and delays in providing housing to the most vulnerable categories of affected citizens.
Mechanisms for monitoring the targeted use of funds allocated through housing certificates also require improvement. Existing methods for analyzing transactions conducted through special-purpose accounts do not provide the level of automation and analytical depth necessary to prevent the risks of improper use of public funds. There is no integrated system for tracking the movement of funds from the moment a certificate is issued to the actual purchase of housing, which complicates auditing procedures and the preparation of analytical reports.
Integration of the certificate usage analysis process with other modules of the e-Recovery system, such as damage assessment and new housing construction monitoring, remains insufficiently effective. This causes delays in analytical data processing and prevents the timely adjustment of housing certificate program parameters in response to changes in demand structures or regional priorities.
Considering the above-mentioned problems, the development of a specialized module titled “Analysis of the Use of Certificates for Lost Housing” within the information system of local government authorities represents a relevant and necessary task to ensure transparent and efficient use of public funds and to improve the effectiveness of the compensation program for affected citizens.
At present, the processes of analyzing the use of housing certificates issued as compensation for citizens’ lost property in Ukraine are characterized by a low level of automation and fragmented analytical approaches. Existing solutions are primarily focused on basic accounting of issued certificates and do not provide comprehensive analysis of their utilization effectiveness based on all required evaluation parameters.
In most regions, the analysis of housing certificate usage is carried out in a semi-automated manner using basic spreadsheet tools, which does not allow the implementation of complex analytical algorithms and fails to provide the required depth of analysis of the compensation program. The absence of a unified centralized analytical system results in heterogeneous data sets, the inability to conduct comparative analysis of certificate utilization effectiveness across different regions, and subjectivity in the formation of analytical conclusions.
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.