Nunik Destria Arianti

Executive leader with significant experience in education and business sectors, currently serving as President Director at PT. Nusa Putra Farmedika and PT. Nusa Putra Ritelindo, and Commissioner at PT. Research Global and PT. Nusa Putra Edu Global. Proven expertise in strategic planning, organizational structuring, and operations management, enhancing performance at Nusa Putra University as Vice Rector II for Operations, Resources, and Finance. Proficient in data analysis, project management, and client relationship management, with a strong foundation in education systems and lecturing on decision support systems and data mining. Focused on driving growth through innovative strategies and effective team development.

• Artificial intelligence-assisted NIR spectroscopy for identification of halal mislabeling in commercial meatball products, Microchemical Journal, 2026
• Brain Tumor Segmentation of Magnetic Resonance Imaging (MRI) Images Using Deep Neural Network Driven Unmodified and Modified U-Net Architecture, International Journal of Advanced Computer Science & Applications, 2025
• An approach to parameter optimizer for music mood classification in machine learning, AIP Conference Proceedings, 2025
• Implementation of Multiple Linear Regression Algorithm to Predict Air Temperature Based on Pollutant Levels in South Tangerang City, Jurnal Inotera, 2024, https://inotera.poltas.ac.id/index.php/inotera/article/view/383
• Development of a Web-Based Job and Career Compatibility System Using the Federal Enterprise Architecture Framework Method: A Case Study in Nusa Putra University, Ingénierie des Systèmes d'Information, 2024
• Effect of Data Division on Classification Performance of Overlapping Red Blood Cells using Sharpening Image Segmentation Strategy and Convolutional Neural Network., IAENG International Journal of Computer Science, 2024, https://www.iaeng.org/IJCS/issues_v51/issue_3/IJCS_51_3_05.pdf
• Development of a chopper with performance optimization for areca nut frond using response surface methodology, Results in Engineering, 2023, https://www.sciencedirect.com/science/article/pii/S2590123023004589
• An automatic generation of pre-processing strategy combined with machine learning multivariate analysis for NIR spectral data, Journal of Agriculture and Food Research, 2023, https://www.sciencedirect.com/science/article/pii/S2666154323001321
• Classification of Harvesting Age of Mango Based on NIR Spectra Using Machine Learning Algorithms., Mathematical Modelling of Engineering Problems, 2023, https://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=23690739&AN=162765929
• Classification of Overlapping Red Blood Cells Using Image Segmentation and Convolutional Neural Network, International Journal of Computer Information Systems and Industrial Management Applications, 2023, https://cspub-ijcisim.org/index.php/ijcisim/article/view/568
• Red Blood Cells Classification with Sharpening Segmentation and Mask R-CNN, Springer Nature Switzerland, 2022, https://link.springer.com/chapter/10.1007/978-3-031-27524-1_63
• Social-Politic in a Pandemics Indonesian Citizens’ Twitter Conversation Analysis using Latent Dirichlet Allocation, 2022 8th International Conference on Wireless and Telematics (ICWT), 2022, https://ieeexplore.ieee.org/abstract/document/9935415/
• Digital Processing of Blood Cells Using Matlab, Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 2019-07-11, 2021, https://eudl.eu/doi/10.4108/eai.11-7-2019.2297827
• Oscillation effect dataset on the measurement accuracy of load-cell sensor applied to the weigh basket, Data in Brief, 2021, https://www.sciencedirect.com/science/article/pii/S2352340921007356
• Menggali emas terpendam data mining, Book, 2020, https://books.google.com/books hl=en&lr=&id=uMofEAAAQBAJ&oi=fnd&pg=PR2&dq=info:9cBcWW33-o0J:scholar.google.com&ots=XczV5wfNkA&sig=MJjRItAhZhXtwBH_61JlY9FHvpQ
• Identify the Severity of Cirrhosis Based on the Level ofAST and ALT Enzymes Using Image ProcessingApproach and K-Means Clustering Method, ICONISTECH 2019, 11-12 July 2019, https://eudl.eu/doi/10.4108/eai.11-7-2019.2297828