Ningrum has a strong background in research, with extensive experience in various projects. She possess a solid understanding of research methodology and data science, making her well-equipped to handle complex research projects. Additionally, she has a specialization in natural language processing and has experience in implementing it in her researches and projects.
GPA 3.97 / 4.00
GPA 3.64 / 4.00
Developing an NLP-based interactive system for identifying scientific uncertainty in scholarly full text. The system employs a fine-grained annotation scheme and a weakly supervised technique, combining pattern matching, Regex, complex sentence checking, and authorial reference checking at the sentence level.
Responsible for the recruitment improvement, talent acquisition and development, and partnership management
Managing employees in 20 branch offices across Java, handling labour relation issues and tribunal cases, securing all services in the organization were in compliance with professional standards, policies, and laws
Identifying bottlenecks and the needs to improve the performance of Field Human Capital(FHC) team, designing effective workflow to simplify FHC business process
Responsible for evaluating and providing constructive feedback on submitted papers, shaping the program, and contributing to the academic standards and community.
Responsible for managing, developing, designing, coordinating as well as conducting training programs, and conducting research with research collaborators
Ensuring the rigorous standards of the scientific process by taking part in the peer-review system, evaluating article submissions focusing in Law, Humanity & Social Science, and providing feedback on the paper, suggest improvements and make a recommendation to the editor about whether to accept, reject or request changes to the article
Performing teaching or teaching-related duties to assist professors, proctoring exams, grades tests and homework, and assigning material in class as needed
This project aims to study about uncertainty in science through ontological and linguistic modelling of this notion from datasets of articles in different disciplines. The objectives are to propose a linguistic model of the expression of uncertainty in scientific articles, in order to propose a tool to identify and classify these phenomena present in papers in different disciplines in Social Sciences and Humanities (SSH) and in Science, Technology, and Medicine (STM).
This project aims to study about Artificial Intelligence & Labour Law