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Yudhistira Nugraha
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2020 – today
- 2023
- [j4]Bahrul Ilmi Nasution
, Yudhistira Nugraha
, Nanda L. Prasetya, Muhammad E. Aminanto, Andi Sulasikin, Juan Intan Kanggrawan, Alex L. Suherman
:
COVID-19 Mortality Risk Factors Using Survival Analysis: A Case Study of Jakarta, Indonesia. IEEE Trans. Comput. Soc. Syst. 10(3): 1150-1159 (2023) - [c12]Bahrul Ilmi Nasution
, Yudhistira Nugraha
, Irfan Dwiki Bhaswara
, Muhamad Erza Aminanto
:
How Resilient is Privacy-preserving Machine Learning Towards Data-Driven Policy? Jakarta COVID-19 Patient Study Case. ARTMAN@CCS 2023: 5-10 - [c11]Hansen Wiguna
, Regina Manjali
, Yudhistira Nugraha
:
Harnessing digital government for place-based innovation policy: insights from Jakarta. ICEGOV 2023: 420-423 - [c10]Muhammad Cendekia Airlangga, Andi Sulasikin, Yudhistira Nugraha, Nur Laily Romadhotul Husna, Muhamad Erza Aminanto, Fajar Kurniawan, Juan Intan Kanggrawan:
Understanding Citizen Feedback of Jakarta Government Super App: Leveraging Deep Learning Models. ISC2 2023: 1-6 - [c9]Aufa Fadhlurohman, Andi Sulasikin, Yudhistira Nugraha, Nur Laily Romadhotul Husna, Muhamad Erza Aminanto, Juan Intan Kanggrawan:
Development of Indonesian Language Intelligent Chatbot for Public Services in JAKI Application. ISC2 2023: 1-7 - 2022
- [j3]Yudhistira Nugraha
, Andrew Martin
:
Cybersecurity service level agreements: understanding government data confidentiality requirements. J. Cybersecur. 8(1) (2022) - [c8]Melva Hilda Stephanie Situmorang
, Bahrul Ilmi Nasution
, Muhamad Erza Aminanto
, Yudhistira Nugraha
, Juan Intan Kanggrawan
:
Air Pollution Index (API) Analysis at Jakarta in 2019-2020 using Fuzzy C-Means and Gaussian Mixture Model. IC3INA 2022: 174-178 - [c7]Sheila Maulida Intani, Bahrul Ilmi Nasution
, Muhamad Erza Aminanto, Yudhistira Nugraha, Nurhayati Muchtar, Juan Intan Kanggrawan:
Automating Public Complaint Classification Through JakLapor Channel: A Case Study of Jakarta, Indonesia. ISC2 2022: 1-6 - [c6]Bahrul Ilmi Nasution
, Irfan Dwiki Bhaswara, Yudhistira Nugraha, Juan Intan Kanggrawan:
Data Analysis and Synthesis of COVID-19 Patients using Deep Generative Models: A Case Study of Jakarta, Indonesia. ISC2 2022: 1-7 - [c5]Andi Sulasikin, Yudhistira Nugraha, Muhamad Erza Aminanto, Bahrul Ilmi Nasution
, Juan Intan Kanggrawan:
Developing a knowledge management system for supporting flood decision-making. ISC2 2022: 1-4 - 2021
- [j2]Yudhistira Nugraha, Andrew Martin
:
Towards a framework for trustworthy data security level agreement in cloud procurement. Comput. Secur. 106: 102266 (2021) - 2020
- [c4]Andi Sulasikin, Yudhistira Nugraha, Juan Kanggrawan, Alex L. Suherman
:
Forecasting for a data-driven policy using time series methods in handling COVID-19 pandemic in Jakarta. ISC2 2020: 1-6
2010 – 2019
- 2017
- [b1]Yudhistira Nugraha:
Foundations for a trustworthy data security level agreement capability framework. University of Oxford, UK, 2017 - [c3]Yudhistira Nugraha
, Andrew Martin:
Towards the Classification of Confidentiality Capabilities in Trustworthy Service Level Agreements. IC2E 2017: 304-310 - [c2]Yudhistira Nugraha
, Andrew Martin:
Investigating Security Capabilities in Service Level Agreements as Trust-Enhancing Instruments. IFIPTM 2017: 57-75 - 2016
- [j1]Yudhistira Nugraha
, Ian Brown, Ashwin Sasongko Sastrosubroto:
An Adaptive Wideband Delphi Method to Study State Cyber-Defence Requirements. IEEE Trans. Emerg. Top. Comput. 4(1): 47-59 (2016) - 2015
- [c1]Yudhistira Nugraha
:
Security Assurance Requirements Engineering (STARE) for trustworthy service level agreements. RE 2015: 398-399
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