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Journal : International Conference on Sciences Development and Technology

Designing a Web-Based Career System Using the Laravel Framework using the waterfall method Khaliq, Abdul; Batubara, Supina; Syaula, Maya; Sahrial, Sahrial
International Conference on Sciences Development and Technology The 2nd ICoSDTech 2022
Publisher : International Conference on Sciences Development and Technology

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Abstract

Rapid advancements in data and communication technology are evident, especially when it comes to data's crucial role in modern life. The internet serves as the primary medium for data transmission, facilitating easy access to information like job vacancies through specialized websites. Without data, securing desirable opportunities, such as employment, would prove exceedingly challenging. As professions significantly impact individuals' lives, obtaining relevant professional data can be arduous for some, while simultaneously, industries may struggle to swiftly find suitable employees possessing the required skills. To address this issue, a web-based job vacancy application called a web search program was developed using the waterfall method, utilizing PHP programming language and MySQL database. This application aims to simplify the process of job seekers finding relevant job vacancy data while assisting industries in promptly identifying skilled candidates who match their requirements.
Website-Based Online Job Training Application Design Using the Unified Modeling Language Batubara, Supina; Wahyono, Teguh; Khaliq, Abdul; Lubis, Yuli Ennisa
International Conference on Sciences Development and Technology The 2nd ICoSDTech 2022
Publisher : International Conference on Sciences Development and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Community demographic data based on work shows that there is a lot of work done by the community. This proves that the community's potential in the aspect of community resources is very good, but in the data it can also be seen that some people do not have a job or what we usually call unemployed. Unemployment rates will increase if proper evaluation is not carried out and will have a negative impact on community resources that are already good. So that unexpected things do not happen, we should dig up community data and manage existing community resources so that we can reduce unemployment so that it has a positive impact on increasing people's income. The purpose of this research is to build a job training application that can be used to collect data on skills and improve the skills possessed by the community while at the same time knowing the concept of improving digital community resource management that can be done and provide analysis of the application of online information communication. Job training applications are designed using the Unified Modeling Language (UML) and by utilizing Massive Open Online Course (MOOC) technology, sophisticated computer simulation technology with massive open online course techniques, fast-adapting computer engineering education models.