Mobile Application for Vocational Job Vacancies Innovation: Applying Creative Critical Canvas

Authors

  • Wahyu Ridhoni Informatics Engineering Department, Hasnur Polytechnic, South Kalimantan, Indonesia
  • Yazid Aufar Informatics Engineering Department, Hasnur Polytechnic, South Kalimantan, Indonesia
  • Emma Valensia Aurum Informatics Engineering Department, Hasnur Polytechnic, South Kalimantan, Indonesia

DOI:

https://doi.org/10.71365/edujet.v3i1.95

Keywords:

Job Vacancy, Mobile-based Test, User Experience Design, Vocational

Abstract

This research aims to improve the connection between vocational universities and industries in South Kalimantan through the development of a job vacancy test platform. By applying the concept of “link and match”, this research identifies the needs of vocational universities and industry. The method used is Creative Critical Canvas, which includes six stages: parse, deviate, modify, verify, compare, and conclude. The results showed that current job vacancy announcements still face problems in terms of information dissemination and complicated application procedures. The innovative solution in the form of an automation system and user experience validation was successfully tested by involving 66 respondents, resulting in validation scores that showed a good interface but required minor revisions at the ease of use and user friendly before continuing development at the coding stage. This research also concluded that Creative Critical Canvas is effective as a framework in creating innovation and can be used for digital product development.

References

Aljohani, N.R. et al. (2022) ‘Bridging the skill gap between the acquired university curriculum and the requirements of the job market: A data-driven analysis of scientific literature’, Journal of Innovation & Knowledge, 7(3), p. 100190. Available at: https://doi.org/10.1016/j.jik.2022.100190.

Andiny, L.M., Fitri, I. and Rubhasy, A. (2021) ‘Perancangan User Experience Pada Aplikasi Rumah Singgah CLOW Menggunakan Metode User-Centered Design’, JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), 06(02).

Asa, J.S. et al. (2023) ‘Android Based Job Search Application “Megawe” for The Segment of Workers with an Education Level Below a University Degree’, Procedia Computer Science, 227, pp. 194–203. Available at: https://doi.org/10.1016/j.procs.2023.10.517.

Chiang, J.K.-H. and Suen, H.-Y. (2015) ‘Self-presentation and hiring recommendations in online communities: Lessons from LinkedIn’, Computers in Human Behavior, 48, pp. 516–524. Available at: https://doi.org/10.1016/j.chb.2015.02.017.

Di Paolo, A., Matas, A. and Raymond, J.L. (2017) ‘Job accessibility and job‐education mismatch in the metropolitan area of Barcelona’, Papers in Regional Science, 96, pp. S91–S113. Available at: https://doi.org/10.1111/pirs.12179.

Giambona, F. et al. (2024) ‘Skills in online job ads: An analysis of Italian regions’, Socio-Economic Planning Sciences, 94, p. 101916. Available at: https://doi.org/10.1016/j.seps.2024.101916.

Khan, R., Ahmed, S., & Malik, F. (2022). Mobile-first recruitment in developing economies: Enhancing employability through digital connectivity. Journal of Human Resource Innovation, 12(4), 215–228.

Lee, J., Park, S., & Kim, T. (2023). Predictive analytics in vocational employment: Integrating data-driven design with UX principles. International Journal of Educational Technology, 14(2), 89–104.

Nguyen, H., & Kurniawan, B. (2023). User experience design for vocational job platforms in Southeast Asia. Journal of Digital Learning and Employment, 7(3), 134–148.

Putrama, I.M. and Martinek, P. (2023) ‘Integrating platforms through content-based graph representation learning’, International Journal of Information Management Data Insights, 3(2), p. 100200. Available at: https://doi.org/10.1016/j.jjimei.2023.100200.

Ridhoni, W. and Anggraini, M.A. (2023) ‘Pembangunan Aplikasi Mobile Untuk Pencatatan dan Laporan Pre-Order UMKM Kuliner’, 8(3).

Ridhoni, W. et al. (2021) Creative Critical Canvas : Framework Untuk Problem Solving Dengan Berpikir Kreatif Dan Kritis. Ponorogo: CV. Calina Media.

Rikala, P. et al. (2024) ‘Understanding and measuring skill gaps in Industry 4.0 — A review’, Technological Forecasting and Social Change, 201, p. 123206. Available at: https://doi.org/10.1016/j.techfore.2024.123206.

Santoso, A., & Dewi, L. (2024). Academic-industry collaboration in digital recruitment: A model for vocational readiness. Journal of Vocational Studies, 9(1), 55–70.

Setiawati, P. (2018) ‘Analisa dan Perancangan Sistem Informasi Penyedia Lowongan Pekerjaan yang Direkomendasikan Berdasarkan Standar Kompetensi Kerja Nasional Indonesia (SKKNI)’, JIK: Jurnal Ilmu Komputer, 3(2), pp. 136–147.

Shamzzuzoha, A. et al. (2022) ‘Identified necessary skills to establish a center of excellence in vocational education for green innovation’, Cleaner Environmental Systems, 7, p. 100100. Available at: https://doi.org/10.1016/j.cesys.2022.100100.

Smaldone, F. et al. (2022) ‘Employability skills: Profiling data scientists in the digital labour market’, European Management Journal, 40(5), pp. 671–684. Available at: https://doi.org/10.1016/j.emj.2022.05.005.

Usabiaga, C. et al. (2022) ‘Skill requirements and labour polarisation: An association analysis based on Polish online job offers’, Economic Modelling, 115, p. 105963. Available at: https://doi.org/10.1016/j.econmod.2022.105963.

Zhou, M., Li, C., & Zhao, H. (2024). Adaptive recruitment platforms and user motivation: Insights from AI-based hiring systems. Computers in Human Behavior, 152, 107201.

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Published

2024-07-07

How to Cite

Ridhoni, W., Aufar, Y., & Aurum, E. V. (2024). Mobile Application for Vocational Job Vacancies Innovation: Applying Creative Critical Canvas. Edutechnium Journal of Educational Technology, 3(1), 21–32. https://doi.org/10.71365/edujet.v3i1.95