Jurnal Sistem Informasi

What Makes Gen Z in Indonesia Use P2P Lending Applications: An Extension of Technology Acceptance Model

2024-04-04T16:10:24+07:00

This study aims to determine the factors influencing Gen Z members in Indonesia using P2P lending applications. This study extended TAM by collaborating with important constructs, such as trust, perceived risk, and hedonic motivation, to explain Generation Z’s intention to use P2P lending applications. This study utilized an online survey to acquire data. The total sample size was 305 users of P2P lending applications from Generation Z. The obtained data were then analyzed using PLS-SEM. The results show that perceived usefulness has no effect on the intention to use P2P lending applications. Meanwhile, trust mediates the relationship between perceived ease of use and perceived usefulness on intention to use P2P lending applications. The results show that Generation Z's intention to use P2P lending applications is influenced by technological sophistication factors, the belief that P2P lending applications guarantee their privacy concerns and security risks, and the existence of pleasant experiences.

Usability Evaluation and Interface Design Improvement for the Maxim Application with User-Centered Design Approach

2024-04-04T16:10:28+07:00

The research focused on the user interface of the Maxim application, a ride-hailing service in Indonesia facing usability challenges compared to its competitors, such as Gojek, Grab, and inDrive. The study aimed to identify user issues and propose alternative interface designs to enhance usability. The User-Centered Design (UCD) approach was adopted, involving two iterative phases that yielded high-fidelity designs. Through online surveys and interviews, 77 problem categories were identified, adhering to Usability Heuristic principles, and 93 design solutions were crafted based on Shneiderman's Eight Golden Rules of Interface Design. Subsequently, the design solutions were evaluated through moderated usability testing (UT) and the System Usability Scale (SUS) questionnaire distribution. The second iteration's UT results indicated improved success rates, reduced task completion times, higher SUS scores, and positive user feedback on ease of use. In conclusion, this research improved the application's usability and offered valuable recommendations for further enhancements and future investigations.

Designing Indonesian Maternal and Child Health Mobile Applications using User-Centered Design

2024-04-04T16:10:30+07:00

The high maternal mortality rate in Indonesia has led the Indonesian government to develop a mobile application for maternal and child health (MCH). However, this application received a bad rating on the applications distribution platform, and even some of its features could not function properly. Therefore, this study aims to design the MCH application. This study used the user-centered design (UCD) methodology with three iterations and applied Shneiderman's eight golden rules. Participants involved in the data collection and evaluation process were health workers, health experts, and pregnant women. The first iteration's evaluation will produce a low-fidelity prototype (wireframe), whereas the second and third iteration's evaluations will produce a refined high-fidelity clickable prototype. The resulting prototype has several major features, including notes entry, information and education, reminders, a blood supplement tablet tracker, and monitoring of fetal development. Evaluation in the first iteration utilized interviews to validate the wireframe, whereas the second and third iterations utilized usability testing and system usability scale (SUS). In the second iteration, the final SUS score was 71.2, or "good," while in the third iteration, the final SUS score was 85.4, or "excellent." This research is expected to contribute to two areas: serving as a reference for pregnancy application interface designs, especially for MCH applications, as well as the improvement and development of pregnancy health applications using the UCD methodology.

Onboarding Model to Integrate Newcomers into Scrum Team at an Insurance Company

2024-04-04T16:10:33+07:00

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.

Analyst’s Perception on the Use of AI-based Tools in the Software Development Life Cycle

2024-04-04T16:10:36+07:00

Artificial Intelligence (AI) integration has been the goal in many industries, including in the software development industry. One example of this integration comes in the form of integrating AI in the Software Development Lifecycle (SDLC). To date, the difficulties of incorporating AI-based tools into particular phases of SDLC have not received much attention in research. Using qualitative approach, this study aims to discover the perception on the use of AI-based tools and challenges in integrating them in the analysis phase of SDLC. The study finds out that analyst have positive perception about integrating this technology in their field of work but there are some challenges while integrating this technology such as data security and reliability concern, dependency, and adapting to this technology. This study also discovers some key factors of why some analysts adopt or refuse this technology namely time, urgency, budget, and insecurities of the users.