{"id":25582,"date":"2025-07-31T14:13:12","date_gmt":"2025-07-31T07:13:12","guid":{"rendered":"https:\/\/stei.itb.ac.id\/?page_id=25582"},"modified":"2026-05-19T15:05:54","modified_gmt":"2026-05-19T08:05:54","slug":"fariska-zakhralativa-ruskanda","status":"publish","type":"page","link":"https:\/\/stei.itb.ac.id\/en\/dosen\/fariska-zakhralativa-ruskanda\/","title":{"rendered":"Fariska Zakhralativa Ruskanda"},"content":{"rendered":"
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Dr. Fariska Zakhralativa Ruskanda, S.T., M.T.<\/h1>\n

Informatics<\/h3>\n\n\t\t<\/div>\n\t<\/div>\n\n\t
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Email : fariska.zr@itb.ac.id<\/a><\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n\n\t

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Dr. Fariska Zakhralativa Ruskanda is an Assistant Professor at the School of Electrical Engineering and Informatics (STEI), Bandung Institute of Technology (ITB), and a member of the Informatics Research Group. She has 14 years of teaching and research experience, including 5 years at ITB.<\/p>\n

In her teaching, Dr. Fariska teaches courses such as Programming Fundamentals, Artificial Intelligence, and Machine Learning, utilizing an Active Learning approach and digital platforms like Edunex and Teams. During the pandemic, she produced several instructional videos that remain in use post-pandemic.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div>

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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.<\/p>\n

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.<\/p>\n

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

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  1. \u201cQuantum-enhanced support vector machine for sentiment classification\u201d (2023), which explores the use of quantum-based SVM for sentiment classification.<\/li>\n
  2. \u201cSimple sentiment analysis ansatz for sentiment classification in quantum natural language processing\u201d (2023), which discusses sentiment analysis approaches in Quantum NLP.<\/li>\n
  3. \u201cComparative study on language rule-based methods for aspect extraction in sentiment analysis\u201d (2018), which compares language rule-based methods for aspect extraction in sentiment analysis.<\/li>\n<\/ol>\n

    In addition, Dr. Fariska is involved in various research projects, such as \u201cCarbon Gas Emission Prediction Model of Human Activity and Behavior in Urban Areas\u201d (2024) and \u201cOptimization of Hybrid Quantum-Classical Machine Learning Model for Sentiment Classification\u201d (2024).<\/p>\n

    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.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div>