Handayani, Putu Wuri
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Designing Indonesian Maternal and Child Health Mobile Applications using User-Centered Design Adidharma, Achmad Fikri; Shelim, Nadya; Anqita, Shanika Tysha; Handayani, Putu Wuri
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.v20i1.1386

Abstract

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.
Exploring the Barriers to Public Transport App Adoption Using Innovation Resistance Theory Labiba, Mazaya Nur; Mutiara, Dhina Rotua; Shadrina, Refiany; Handayani, Putu Wuri; Harahap, Nabila Clydea
Journal of Information Systems Engineering and Business Intelligence Vol. 11 No. 2 (2025): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.11.2.293-310

Abstract

Background: The adoption of digital solutions in public transportation has transformed mobility services worldwide. However, resistance to innovation remains a significant challenge, preventing the successful implementation of transport applications. Despite advancements in mobile technology and smart transit solutions, many users remain hesitant to adopt new applications due to various barriers, including information quality concerns.  Objective: This study aims to investigate the relationship between information quality and innovation resistance in the adoption of public transport applications. Utilizing the Innovation Resistance Theory (IRT), this research examines how different resistance factors impact the intention to use transport apps.  Methods: A mixed-methods approach was applied, consisting of a quantitative survey with 443 respondents from an urbanized region and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). Additionally, qualitative insights were gathered through interviews with 30 individuals, analyzed using content analysis.  Results: Findings indicate that information quality significantly reduces innovation resistance, facilitating the adoption of transport applications. Moreover, usage barriers, value barriers, and tradition barriers negatively affect users’ intention to use transportation apps, while risk, image, and complexity barriers show no significant influence.  Conclusion: This study underscores the critical role of information quality in overcoming resistance to innovation in public transportation applications. The findings provide insights for app developers to enhance data accuracy and usability, as well as for policymakers to improve digital transportation services by addressing key resistance factors.  Keywords: Public Transport App, Innovation Resistance, M-Commerce, Intention to Use, Innovation Resistance Theory, Information Quality, PLS-SEM
User’s Switching Intention from Social Media Freemium to Premium Harahap, Nabila Clydea; Alnazhary, Luthfi; Reksohaminoto, Shehaanmakya Muhammad Sutoyo; Djibat, Zundullah B.; Handayani, Putu Wuri
Jurnal Sistem Informasi Vol. 21 No. 2 (2025): 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.v21i2.1520

Abstract

To date, social media platforms offer many exclusive or special features for making payments on these premium platforms. This study aims to identify the push, pull, and mooring factors that influence users’ intention to switch from freemium to premium social media in Indonesia, drawing on the push-pull-mooring (PPM) theory. An online questionnaire involving 507 social media users in Indonesia and in-depth interviews with 30 users were conducted, with the qualitative data analyzed using content analysis to enrich the quantitative findings. The results show that functionality, advertising intrusiveness, relative advantage, price value, switching cost, and social influence influence switching intention. Theoretically, this study contributes to the PPM framework and the concept of switching intention by extending them to the context of user transitions from freemium to premium social media platforms in Indonesia, a context that has not been previously explored. Practically, the findings provide guidelines for social media platforms to improve premium features and enhance service offerings.
The Influence of Conversation Skills on Chatbot on Purchase Behavior in E-Commerce Ramadhani, Aulia; Handayani, Putu Wuri; Pinem, Ave Adriana; Sari, Puspita Kencana
Jurnal Manajemen Indonesia Vol. 23 No. 3 (2023): Jurnal Manajemen Indonesia
Publisher : Fakultas Ekonomi dan Bisnis, Telkom University.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmi.v23i3.5304

Abstract

To date, chatbots have been widely used in e-commerce as a replacement for conventional customer service agents. This study aims to analyze the influence of chatbots’ conversation skills on purchasing decisions made by e-commerce users. The specific skills examined were tailored response and response variety. This study used quantitative methods with online questionnaires and involved 699 respondents who had shopped on an ecommerce website and used a chatbot feature in the application. The e-commerce platforms involved in this study were the top five used in Indonesia: Shopee, Tokopedia, BliBli, Lazada, and Bukalapak. The data collected were analyzed using the partial least squares structural equation modeling method. The results show that the conversational skills of chatbots can influence consumer shopping decisions which can increase the sales of ecommerce organizations. The results provide guidance for e-commerce platforms using chatbots to help consumers with shopping. Keywords—Conversational Skills; Chatbot; E-Commerce; Indonesia; Purchase Behavior