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231 research outputs found
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Examining Students’ Motivation to Continue Using AI-Chatbot for Academic Assignment
This study focuses on the motivations of engaged Indonesian university students who frequently utilize the AI-chatbot to assist them with their academic work. This research modifies Post-Acceptance of Information System Continue model with the ECT (Expectation Confirmation Theory) and TAM (Technology Acceptance Model) to explore constructs to determine what motivates students to continue using the emerging AI-chatbot, namely BING. The findings revealed a positive and substantial correlation between Perceived Information Quality (PEIQ), Confirmation (CON), Perceived Usefulness (PEU), Perceived Enjoyment (PEE), Satisfaction (SAT), and Continue Intention (COI). Confirmation (CON) has a significant impact on how usefulness and enjoyment BING is perceived, which influences Satisfaction and the decision to continue using BING. Confirmation (CON) and Perceived Ease of Use (PEEOU) have no clear correlation with Satisfaction (SAT). Some contributions are discussed in this study, both theoretically and practically
Usability Evaluation and Interface Design Improvement for the Maxim Application with User-Centered Design Approach
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
What Makes Gen Z in Indonesia Use P2P Lending Applications: An Extension of Technology Acceptance Model
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
Analyst’s Perception on the Use of AI-based Tools in the Software Development Life Cycle
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
Big Data Analytics in Gaza's Higher Education: Identifying and Addressing Key Implementation Barriers
This research provides an in-depth investigation into the adoption of Big Data Analytics (BDA) technology in higher education institutions (HEIs) in the Gaza Strip, along with a detailed analysis of the barriers to its implementation. Using a quantitative research methodology, data was collected from 305 participants. Principal Component Analysis (PCA) was employed to identify key barriers to BDA, including challenges related to infrastructure, security, resources, knowledge, and data characteristics. The study found that financial constraints, access pricing and conditions, significant investment costs, lack of BDA expertise, operational expenses, experience sharing, and resource development are the main barriers to BDA adoption. Additionally, the study shows that 65.3% of HEIs are using BDA technology, with a BDA readiness score of 66.68%. Regression analysis indicates that barriers related to security, finances, data characteristics, skills, and infrastructure negatively impact BDA practice and readiness. Based on these findings, proactive measures are recommended to address these barriers in the Gaza Strip. These measures include developing government initiatives, upgrading IT infrastructure, enhancing BDA skills, and promoting BDA technology awareness. The research advocates for further exploration of the specific challenges and opportunities faced by local universities and a deeper investigation into the potential benefits of BDA adoption. Overcoming these obstacles and fostering BDA integration could enhance data analysis capabilities, contributing to the growth and competitive strength of the Gaza Strip
A Data-Driven Approach for Game Evaluation Using Latent Dirichlet Allocation Method Based on Players’ Reviews
Garena is a global game developer and publisher. Garena provides users with access to popular and engaging online games for mobile and PC, developed, curated, and localized for each market. The Battle Royale genre is relatively new, and this research will evaluate Free Fire, one of the games in this genre made by Garena. Analyzing end-user reviews is considered important for evaluating software quality. Researchers need to understand which aspects need to be evaluated based on player reviews on Google Play and how the model's performance is generated using feedback from players who have played Free Fire. In this study, researchers use the Latent Dirichlet Allocation (LDA) method to model topics and generate clusters in discussions for each topic. LDA is a generative probabilistic model of a corpus. This research on topic modeling using Google Play reviews and LDA has identified the topics users are most concerned with. The research shows three main aspects: bugs, graphics and performance, and game rules/punishment policy, as aspects that need to be evaluated based on player reviews on Google Play
Designing Indonesian Maternal and Child Health Mobile Applications using User-Centered Design
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
Enhancing ERP Usage Through Absorptive Capacity: A Case Study from Indonesia Enterprise
This research investigates the effect of individual users' absorptive capacity to the usage of Enterprise Resource Planning (ERP) at PT ABC, a transportation company in Indonesia. Utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM). This study tests the relationships between three facets of absorptive capacity and ERP usage. This study revealed that among aspects of absorptive capacity, only the capacity associated with applying ERP knowledge directly affects ERP usage. Meanwhile, prior understanding and proficiency in integrating ERP systems have a significant indirect impact on ERP usage performance. Based on these findings, it is suggested that PT ABC strengthens individual employees' absorptive capacities and encourages them to acquire ERP expertise before implementation. Moreover, cultivating a culture that supports collaboration and knowledge sharing is crucial for maximizing the benefits of ERP systems within the organization. Implementing these strategies is expected to improve ERP adoption outcomes at PT AB
Perceptions of the Use of Quick Response Code Indonesian Standard (QRIS) for Payment and its Impact on Consumer Behavior
Currently the use of cash payments is starting to change to a simpler payment method to non-cash transactions, it is supported by digital payment technology that is developing very quickly. One of the payment methods that can be used through smartphones is using QR codes as a way of payment. Using a qualitative approach, this study aims to analyze the influence of usability, ease of use, and trust factors on consumer acceptance of QR and its impact on purchasing behavior through a qualitative approach. The results of this study will contribute to the development of digital payments, especially based on the resulting perceptions and their impact on purchasing behavior
Onboarding Model to Integrate Newcomers into Scrum Team at an Insurance Company
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