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ELECTRONIC MEDICAL RECORD (EMR) DESIGN FOR HOSPITAL USING BLOCKCHAIN TECHNOLOGY Lee, Eugenius Hansel; Wang, Gunawan
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 4 No. 1 (2023)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v4i1.1372

Abstract

Data leakage in indonesia is still regarded as being extremely common, which has led to a low level of confidence among indonesians when it comes to storing their personal data online. The use of blockchain is still not popular in Indonesia.These two technologies may be merged to produce the best technical outcomes, especially in the security area, thanks to technological advancements in the healthcare industry and blockchain technology. The implementation of the EMR blockchain is also capable of facilitating the reach of the patient's medical record history, allowing each patient who receives outpatient or other treatment at one of the XYZ hospitals to easily integrate their medical records when seeking treatment at other branches, even if XYZ hospital just recently acquired another hospital. Data transmission with the standard system is still in doubt since there is no guarantee of the security of the data because the security of the new branch hospital and the acquired hospital cannot be guaranteed securely. The EMR blockchain can help all hospitals in the future by easing their concerns and facilitating hospital system mobilization, particularly in the patient data department.
Gamification to Increase Interest in Learning Mathematics Rojabi, Muhammad Afdan; Wang, Gunawan
Jurnal Pembelajaran Inovatif Vol. 7 No. 1 (2024): Jurnal Pembelajaran Inovatif
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JPI.071.05

Abstract

This study explores the effectiveness of gamification in mathematics learning using the Quizizz platform. The study involved 20 sixth-grade students at MIS Wahdatul Ikhwan Bogor and employed an experimental method with a pretest-posttest design. The analysis results showed a significant improvement in students' learning outcomes after the implementation of gamification. The use of Quizizz not only enhanced students' understanding and performance but also increased their motivation to learn and reduced boredom. The paired sample t-test showed a significance value of 0.000, indicating a significant difference between pretest and posttest scores. These findings suggest that gamification is an effective approach to improving students' learning outcomes and engagement in the mathematics learning process. Teachers are highly encouraged to integrate gamification into their teaching methods to create a more engaging and effective learning experience.
Predictive Analysis of Malaria Cases in Indonesia Using Machine Learning Syabrina, Ratih; Wang, Gunawan
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i9.16714

Abstract

Malaria continues to pose a significant public health challenge globally, with Indonesia being among the countries most affected by the disease. Despite extensive efforts to control malaria transmission, the disease remains endemic in various regions, leading to substantial morbidity and mortality. Accurate prediction of malaria cases is crucial for guiding effective prevention and control strategies, particularly in resource-limited settings. This study investigates the application of machine learning (ML) techniques to predict malaria incidence in Indonesia, leveraging climatic, epidemiological, and socioeconomic data. Three ML algorithms, namely Random Forest, Support Vector Machine (SVM), and Artificial Neural Networks (ANN), are employed and evaluated for their predictive capabilities. The study spans from 2010 to 2021, incorporating diverse datasets from the Indonesian Meteorological, Climatological, and Geophysical Agency (BMKG), the Ministry of Health of Indonesia, and the Indonesian Bureau of Statistics (BPS). Results indicate that the ML models exhibit strong predictive performance, with Random Forest demonstrating the highest accuracy. The integration of multidimensional data sources enhances the robustness of the predictive models, enabling the identification of spatiotemporal patterns in malaria transmission dynamics. The findings underscore the potential of ML-based approaches in improving malaria surveillance and control efforts in Indonesia, offering valuable insights for public health decision-makers and stakeholders. Moreover, the study highlights the importance of data quality, model refinement, and interdisciplinary collaboration in addressing complex public health challenges such as malaria. By harnessing the power of advanced analytics and innovative methodologies, this research contributes to the ongoing efforts to combat malaria and alleviate its burden on communities and healthcare systems in Indonesia and beyond.
Assessing Information Security Management Using ISO 27001:2013 Clarissa, Stella; Wang, Gunawan
Jurnal Indonesia Sosial Teknologi Vol. 4 No. 9 (2023): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v4i9.739

Abstract

To ensure operational continuity, reduce risks to businesses, and optimize investment returns and business opportunities, information security is an essential element in ensuring the protection of information from different threats. Information protection may be facilitated by the implementation of international standard frameworks, given that a set of standards or provisions is needed to achieve and maintain an adequate level of safeguards for the use of assets. The Ministry of XYZ is handling various important, highly confidential, and sensitive data. Therefore, information protection is not only essential but also mandatory. The organization has implemented ISO 27001:2013 in Pusat Data dan Teknologi Informasi (Pusdatin) and called the security management standard Sistem Manajemen Keamanan Informasi (SMKI). However, according to the Cyber Security Maturity assessment result by a public institution in 2022, there is still a wide gap between the technical implementation and the governance itself. Therefore, to improve the good governance of information security, we need to specifically evaluate the maturity of SMKI itself. This study will use the ISO 27001:2013 Compliance Checklist.
eval_uation of IT Governance at Credit Union XYZ Financial Institutions Using COBIT 5 Framework Rekat, Vinsensius; Wang, Gunawan
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 9 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i9.4628

Abstract

Since 2002, Credit Union XYZ has been utilizing information technology in its lending operations. However, the utilization of IT governance has not been optimal due to various weaknesses, obstacles, and issues such as server problems, downtime for maintenance, system change requests, human resources, and recurring IT-related problems. This research aims to assess the current IT governance capabilities at Credit Union XYZ. The method used is the COBIT 5 standard with a focus on the APO and DSS domains tailored to the existing issues. Data were collected through questionnaires distributed to the IT team and relevant stakeholders. The selected COBIT 5 processes include APO06 (Manage budget and costs), APO07 (Manage human resources), DSS01 (Manage operations), DSS02 (Manage service requests and incidents), and DSS03 (Manage problems). The eval_uation reveals a 1 level gap in IT governance capabilities, with the current level at level 2 in Credit Union XYZ, while the target is level 3 in the future. The researcher's recommendation to Credit Union XYZ is to align IT processes with the standards and regulations established by COBIT 5.