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All Journal Journal of Computer Networks, Architecture and High Performance Computing Journal of Information System and Technology (JOINT)
Saudjhana, Audrey
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Computer Science & IT Education

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Implementasi Big Data terhadap Pengecekan Medis dan Konsultasi Kesehatan di Indonesia Saudjhana, Audrey; Budiman, Arif; Fernando, Harley; Juliantio, Juliantio; Junianto, Kendy; Venessa, Kisusyenni; Salim, Steven; Tomy, Tomy
Journal of Information System and Technology (JOINT) Vol. 5 No. 1 (2024): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v5i1.4323

Abstract

The occurrence of the Covid-19 pandemic tests the resilience of the health service system in countries around the world, especially Indonesia, in responding and acting quickly and appropriately. This incident is a separate evaluation of the health service system in this country. As part of the global action plan to achieve Sustainable Development Goals (SDGs) point number 3, namely ensuring a healthy life and supporting welfare for all and efforts to improve public health as measured by the Public Health Development Index (IPKM), therefore, an increase in quality of health services is needed. The quality of health services includes issues of performance and affordability among society. With the development of innovations in database technology aspect, namely big data and artificial intelligence, it is hoped that this can be a breakthrough in the world of Indonesian health so that the goals of Indonesia in improving public health can be achieved.
Implementasi Big Data terhadap Pengecekan Medis dan Konsultasi Kesehatan di Indonesia Saudjhana, Audrey; Budiman, Arif; Fernando, Harley; Juliantio, Juliantio; Junianto, Kendy; Venessa, Kisusyenni; Salim, Steven; Tomy, Tomy
Journal of Information System and Technology (JOINT) Vol. 5 No. 1 (2024): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v5i1.4323

Abstract

The occurrence of the Covid-19 pandemic tests the resilience of the health service system in countries around the world, especially Indonesia, in responding and acting quickly and appropriately. This incident is a separate evaluation of the health service system in this country. As part of the global action plan to achieve Sustainable Development Goals (SDGs) point number 3, namely ensuring a healthy life and supporting welfare for all and efforts to improve public health as measured by the Public Health Development Index (IPKM), therefore, an increase in quality of health services is needed. The quality of health services includes issues of performance and affordability among society. With the development of innovations in database technology aspect, namely big data and artificial intelligence, it is hoped that this can be a breakthrough in the world of Indonesian health so that the goals of Indonesia in improving public health can be achieved.
Behavioral Intention and Adoption of Digital Bank Mobile Application Among Housewives Using Mixed Method Approach Saudjhana, Audrey; Herman
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2185

Abstract

This mixed-method research using PLS-SEM and fsQCA analysis aims to identify the factors that influence the behavioral intention of Indonesian housewives to adopt digital banking applications, particularly by examining the UTAUT2 model's variables. The study found that facilitating conditions, price values, and habits are significant factors that affect the behavioral intention of housewives to use digital banks. Furthermore, the study suggests that paying attention to the factors of effort expectancy, social influence, facilitating conditions, and habits simultaneously is the most effective approach to generating behavioral intention factors in digital bank adoption. The findings have important implications for digital bank companies, the government, financial institutions, and fintech startups. Future research should strive to obtain a more even distribution of respondents from different regions in Indonesia to reduce bias and obtain results that truly represent the conditions of housewives in Indonesia as a whole.
Co-Authors Arif Budiman Fernando, Harley Herman Juliantio, Juliantio Junianto, Kendy Salim, Steven Tomy Tomy Venessa, Kisusyenni