In addition to teaching, Dr. Fariska actively mentors students. Since 2020, she has mentored 28 students on their final projects, with over 60% of them successfully publishing in international proceedings. She applies the principles of mentoring based on intensity, open communication, and motivation, helping students overcome both academic and psychological challenges.

His dedication to mentoring students is also evident in his success in assisting them in various competitions, including winning a Gold Medal at Gemastik XIV 2021 and the Best Paper award at ICAICTA 2024. He also plays an active role in academic development, including leading the curriculum development of the 2024 Electrical and Informatics Engineering Doctoral Program.

In her research, Dr. Fariska has expertise in Information Extraction, Natural Language Processing, Machine Learning, and Quantum NLP. Some of her scientific publications include:

1. “Quantum-enhanced support vector machine for sentiment classification” (2023), which explores the use of quantum-based SVM for sentiment classification.
2. “Simple sentiment analysis ansatz for sentiment classification in quantum natural language processing” (2023), which discusses sentiment analysis approaches in Quantum NLP.
3. “Comparative study on language rule-based methods for aspect extraction in sentiment analysis” (2018), which compares language rule-based methods for aspect extraction in sentiment analysis.

In addition, Dr. Fariska is involved in various research projects, such as “Carbon Gas Emission Prediction Model of Human Activity and Behavior in Urban Areas” (2024) and “Optimization of Hybrid Quantum-Classical Machine Learning Model for Sentiment Classification” (2024).

His dedication to teaching, research, and mentoring reflects his commitment to developing knowledge in the fields of informatics and artificial intelligence and supporting the academic development of students.

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