Eko K. Budiardjo
Fakultas Ilmu Komputer Universitas Indonesia, Jakarta 16424

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Onboarding Model to Integrate Newcomers into Scrum Team at an Insurance Company Pramudya Mahardhika; Budiardjo, Eko K.; Mahatma, Kodrat; Larasati, Shinta Dewi
Jurnal Sistem Informasi Vol. 20 No. 1 (2024): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v20i1.1390

Abstract

PT XYZ applies the Scrum framework to meet application’s user demands quickly. The average percentage of IT employee turnover that occurred at PT XYZ from 2020 to 2022 was 14.5%. Every time a company recruits a new employee, the company must help that employee to adapt the Scrum method used for the company's system development process. However, PT XYZ information technology division does not yet have a specific onboarding method to help new employees adapt to the implementation of Scrum effectively without disrupting the ongoing sprint. Qualitative methods are used in the case study to collect data from a hybrid working Scrum team through interviews. The interview data was analyzed thematically with a determined model from an existing onboarding theory. Onboarding practices and adjustments are described and delivered consisting of onboarding activities, newcomer adjustments, and workplace adjustments. A combination of general and specific onboarding practices related to agile helps the successful onboarding of new members to a Scrum team. A practical guide is also described to improve successful onboarding practices into Scrum teams.
Feature Model for Pet Health Application Domain using Feature Oriented Domain Analysis Satoh, Ajeng Nurhidayati A Darsan; Budiardjo, Eko K.; Mahatma, Kodrat
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4296

Abstract

According to a survey of Indonesian pet healthcare service users, only 19% of pet health applications are used since the functions offered by the applications are insufficient to meet the needs of the users. Developing feature model for the pet health application domain is the goal of this research. Using a mixed-methods approach, this research examined nine pet health apps which are available on Google Play and the App Store, observed 30 pet health service consumers through surveys using purposive sampling, and conducted document analyses. The Feature Oriented Domain Analysis (FODA) approach is applied within the Software Product Line Engineering (SPLE) framework. The result of this research is a pet health application domain feature model consisting of five non-functional requirements and 45 functional requirements. With an average assessment score of 96%, domain experts have determined that the feature model implementation in this study is in line with user needs.