
Fresh graduate of Accounting Information Systems from Telkom University with a strong foundation bridging business, technology, and data. Developed and tested SIMAJOC, a Job Order Costing information system that earned an Intellectual Property Right (IPR), with hands-on experience in requirement gathering, business process analysis, system documentation, data validation, and functional testing. Built and compared four deep learning models FNN, Autoencoder, LSTM, and CNN-1D for corporate bankruptcy prediction. The research was published on IEEE Xplore and presented at ICOEINS 2026. Skilled in Python, SQL, and SAP, with experience coordinating stakeholders through PIC roles in campus and community events. Able to translate business needs into reliable systems, validate data and processes, and derive meaningful insights to support decision-making.
Portofolio: https://haninasyahida.framer.website/
● Conducted research on deep learning models for corporate bankruptcy prediction, applying comparative analysis of sequential and non-sequential architectures to generate data-driven insights. ● Gathered and analyzed requirements to support the development of SIMAJOC, an ERP-based manufacturing information system that received Intellectual Property Rights (HKI), including reviewing system workflows and access requirements to ensure data integrity. ● Collaborated with multidisciplinary teams to validate data accuracy and consistency across system modules, an exercise closely aligned with core data validation practices in IT audit work.
Analyzed practicum performance data across teaching assistants to identify gaps, standardizing materials and grading practices to improve consistency.
Identified recurring learning gaps among students through session observation and adjusted materials accordingly.
Supported CSR program execution, coordinating on-site operations and stakeholders to ensure smooth event delivery
Tracked recurring student difficulties and used the pattern to adjust teaching materials and processes.
Tracked recurring student difficulties and used the pattern to adjust teaching materials and processes.