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Understanding Citizen Feedback of Jakarta Government Super App: Leveraging Deep Learning Models.

, , , , , , и . ISC2, стр. 1-6. IEEE, (2023)

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Boya Nugraha

Daniel Setiawan Nugraha

Daniel Setiawan Nugraha

Daniel Setiawan Nugraha

Daniel Setiawan Nugraha

 

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Understanding Citizen Feedback of Jakarta Government Super App: Leveraging Deep Learning Models., , , , , , и . ISC2, стр. 1-6. IEEE, (2023)Automating Public Complaint Classification Through JakLapor Channel: A Case Study of Jakarta, Indonesia., , , , , и . ISC2, стр. 1-6. IEEE, (2022)Towards the Classification of Confidentiality Capabilities in Trustworthy Service Level Agreements., и . IC2E, стр. 304-310. IEEE Computer Society, (2017)Security Assurance Requirements Engineering (STARE) for trustworthy service level agreements.. RE, стр. 398-399. IEEE Computer Society, (2015)Development of Indonesian Language Intelligent Chatbot for Public Services in JAKI Application., , , , , и . ISC2, стр. 1-7. IEEE, (2023)Harnessing digital government for place-based innovation policy: insights from Jakarta., , и . ICEGOV, стр. 420-423. ACM, (2023)Air Pollution Index (API) Analysis at Jakarta in 2019-2020 using Fuzzy C-Means and Gaussian Mixture Model., , , , и . IC3INA, стр. 174-178. ACM, (2022)Data Analysis and Synthesis of COVID-19 Patients using Deep Generative Models: A Case Study of Jakarta, Indonesia., , , и . ISC2, стр. 1-7. IEEE, (2022)Forecasting for a data-driven policy using time series methods in handling COVID-19 pandemic in Jakarta., , , и . ISC2, стр. 1-6. IEEE, (2020)COVID-19 Mortality Risk Factors Using Survival Analysis: A Case Study of Jakarta, Indonesia., , , , , , и . IEEE Trans. Comput. Soc. Syst., 10 (3): 1150-1159 (2023)