STAFF HANDBOOK Name Ayundyah Kesumawati
Position Business and Social Academic
career
Institution Year
Initial Academic Appointment Universitas Islam Indonesia 2013 Master Degree Institut Teknologi Sepuluh
Nopember
2012 Undergraduated Degree Universitas Airlangga 2010
Employment Position Employer Period
Lecturer Universitas Islam Indonesia 2013-2017 Assistant Professor Universitas Islam Indonesia 2017-now
Research and development projects over the last 5 years
1. Implementation Naïve Bayes Algorithm for Student Classification Based on Graduation Status (Ayundyah Kesumawati), Penelitian Pemula DPPM UII, tahun 2017, Rp 10.000.000,00.
2. Perancangan Sistem Perekomendasi Cocok Tanam Berbasis Pengolahan Big Data Dalam Membantu Proses Perencanaan dan Pengendalian Produk Pertanian (Ayundyah Kesumawati), Penelitian Berorientasi Luaran, tahun 2019, Rp. 47.000.000)
3. Latent Dirichlet Allocation untuk Otomatisasi Pengkategorian Komentar Netizen pada Media Sosial (Arum Handini Primandari, Ayundyah Kesumawati), Penelitian Unggulan DPPM UII, tahun 2020, Rp 47.000.000,00.
Industry collaborations over the last 5 years
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Patents and proprietary rights
Textbook: Riset Operasi I dan Aplikasi Program Linier (Ayundyah Kesumawati, 2016), Universitas Islam Indonesia.
Textbook: Visualisasi Data untuk Sta Science (Ayundyah Kesumawati, Mujiati Dwi Kartikasari, 2020), Universitas Islam Indonesia.
Important publications over the last 5 years
1. Ayundyah Kesumawati, A Segmentation Group by Kohonen Self Organizing Maps (SOM) and K – Means Algorithms (Case Study : Malnutrition Cases in Central Java of Indonesia), International Journal Advance Soft Computing and its Application Vol 8 No 3 December 2016 ISSN 2017-8523
2. Ayundyah Kesumawati, Implementation Naïve Bayes Algorithm for Student Classification Based on Graduation Status, International Journal of Applied Business and Information System, ISSN : 2597-8993, Vol 1 No 2, 2017 3. Ayundyah Kesumawati, Predicting Patterns of Student Graduation Rates
Using Naïve Bayes Classifier and Support Vector Machine, Proseding AIP Conference Proceedings, 2018, October 2018, ISBN 978-0-7354-1739-7, 10.
4. Ayundyah Kesumawati & Achmad Kurniansyah Thalib, Hoax Classification with Term Frequency-Inverse Document Frequency Using Non-Linear SVM and Naïve Bayes, International Journal of Advance in Soft Computing and Its Application (IJASCA), vol. 10 no. 2, 148-158 (2018).
Activities in specialist bodies over the last 5 years
Organization Role Period
Ikatan Statistisi Indonesia Member 2019-now
Indonesian of Mathematical Society (IndoMS)
Member 2019-now
Data Science Indonesia (DSI) Member 2016-now
Data Science Association Member 2019 - now
