Digital Allowance Estimation Technique Article Swipe
Md. Abul Hasan
,
Md. Ashikur Rahman Khan
,
Ishtiaq Ahammad
,
Mai̇n Uddi̇n
,
Tanvir Zaman Khan
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.35940/ijrte.e4944.018520
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.35940/ijrte.e4944.018520
Generally the miscellaneous allowances or remuneration of the employees of an organisation are calculated manually. Particularly the remuneration of a faculty of an institute concerning examination is calculated manually. Sometimes the faculty has to fill-up a form to write distinct required information. This work is seemed cumbersome. It is a complex process and takes time. It bears scope of numerous errors. In this perspective, this research work aims to develop a digital system. It will take less time. It is very easier in estimating the allowances. The obtained result is accurate. The faculty or employee of an institute or organization can use this digital system in order to enumeration their remuneration related with examination. It is very effective process. Huge number of individuals as well as organization will be benefited using this digital system. This digital system is developed for desktop application (windows) and web based application. As a desktop application user can use this system without internet. As a web based application user must need internet. The desktop application is being developed using Dot net framework using C# programming language and the web based application is being developed using PHP, JavaScript, HTML, JQuery and CSS and DBMS like MySQL, Bootstrap, Laravel Framework.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.35940/ijrte.e4944.018520
- OA Status
- diamond
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4234417878
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4234417878Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.35940/ijrte.e4944.018520Digital Object Identifier
- Title
-
Digital Allowance Estimation TechniqueWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-01-30Full publication date if available
- Authors
-
Md. Abul Hasan, Md. Ashikur Rahman Khan, Ishtiaq Ahammad, Mai̇n Uddi̇n, Tanvir Zaman KhanList of authors in order
- Landing page
-
https://doi.org/10.35940/ijrte.e4944.018520Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.35940/ijrte.e4944.018520Direct OA link when available
- Concepts
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Remuneration, Computer science, The Internet, JavaScript, Process (computing), Scope (computer science), Allowance (engineering), Web application, World Wide Web, Work (physics), Order (exchange), Database, Operating system, Engineering, Business, Mechanical engineering, Programming language, FinanceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2022: 2Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Framework. | 202 |
| abstract_inverted_index.allowances | 3 |
| abstract_inverted_index.calculated | 13, 27 |
| abstract_inverted_index.concerning | 24 |
| abstract_inverted_index.estimating | 83 |
| abstract_inverted_index.JavaScript, | 191 |
| abstract_inverted_index.allowances. | 85 |
| abstract_inverted_index.application | 141, 150, 162, 169, 185 |
| abstract_inverted_index.cumbersome. | 46 |
| abstract_inverted_index.enumeration | 108 |
| abstract_inverted_index.examination | 25 |
| abstract_inverted_index.individuals | 122 |
| abstract_inverted_index.programming | 179 |
| abstract_inverted_index.Particularly | 15 |
| abstract_inverted_index.application. | 146 |
| abstract_inverted_index.examination. | 113 |
| abstract_inverted_index.information. | 41 |
| abstract_inverted_index.organisation | 11 |
| abstract_inverted_index.organization | 99, 126 |
| abstract_inverted_index.perspective, | 63 |
| abstract_inverted_index.remuneration | 5, 17, 110 |
| abstract_inverted_index.miscellaneous | 2 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.64820724 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |