Dr. Eng. Niken P. Martono

niken.martono@pmbs.ac.id
(021) 304 50 500 
3rd Floor, Liem Sioe Liong Building, Universitas Prasetiya Mulya BSD Campus
Computer System Engineering

Profile
Education
Awards
Experience
Publication (Selected)
Profile

Dr. Eng. Niken P. Martono is a faculty member and researcher in Department of Business Mathematics, STEM, Prasetiya Mulya University. In her former experience, she taught several business and management courses such as: Business Research Methodology, Decision Making, Communication and Business Negotiation, Business Statistics, Advanced and Multivariate Statistics. During her master, doctoral, and post-doctoral programs in Tokyo University of Science, Japan, she focuses on data science and predictive data analytics, widely from Customer Relationship Management field, biomedical and neuropsychology field, to agricultural and dairy science field. With the combined knowledge of management, data science, and engineering, her experience provided her with a broader view that is useful in teaching courses and doing research related to applicable management and business courses.

Education
  • Dr. Eng., Industrial Administration, Tokyo University of Science, Japan, 2018
  • M.Eng., Industrial Administration, Tokyo University of Science, Japan, 2014
  • M.SM., Management Science, Institut Teknologi Bandung, 2014
  • B.Sc., Engineering Physics, Institut Teknologi Bandung, 2012
Awards
  • Awarded Japan Student Services Organization (JASSO) Student Exchange Support Program 2013
Experience
  • Postdoctoral Researcher, Dept. of Industrial Administration, Tokyo University of Science, Japan, 2018 – 2020
  • Researcher and Part Time Lecturer, School of Business and Management, Institut Teknologi Bandung, 2014 – 2018
  • Intern, Dept. of Psychology, Temple University, Philadelphia, United States, 2017
Publication (Selected)
  • An Analysis of Motion Transition in Subtle Errors using Inductive Logic Programming: A Case Study in Approaches to Mild Cognitive Impairment
    Niken Prasasti Martono, Keisuke Abe, Takehiko Yamaguchi, Hayato Ohwada
    International Journal of Software Science and Computational Intelligence (IJSSCI), 10(1), 2018
  • Clustering Finger Motion Data from Virtual Reality-Based Training to Analyze Patients with Mild Cognitive Impairment.
    Niken Prasasti Martono, Takehiko Yamaguchi, Takuya Maeta, Hibiki Fujino, Yuki Kubota, Hayato Ohwada, Tania Giovannetti:
    International Journal of Software Science and Computational Intelligence (IJSSCI), 8(4), 2016
  • Early diagnosis of mild cognitive impairment: A case study in approaches to inductive-logic programming.
    Niken Prasasti Martono, Takehiko Yamaguchi, Hayato Ohwada
    In Proceedings of 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2017
  • Generating Rules of Action Transition in Errors in Daily Activities from a Virtual Reality-Based Training Data.
    Niken Prasasti Martono, Keisuke Abe, Takehiko Yamaguchi, Hayato Ohwada, Tania Giovannetti
    In Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017
  • Customer Lifetime Value and Defection Possibility Prediction Model Using Machine Learning: An Application to a Cloud-Based Software Company.
    Niken Prasasti, Masato Okada, Katsutoshi Kanamori, Hayato Ohwada:
    In Proceedings of Intelligent Information and Database Systems - 6th Asian Conference, ACIIDS 2014
  • Utilizing Customers' Purchase and Contract Renewal Details to Predict Defection in the Cloud Software Industry.
    Niken Prasasti Martono, Katsutoshi Kanamori, Hayato Ohwada
    In Proceedings of Knowledge Management and Acquisition for Smart Systems and Services - 13th Pacific Rim Knowledge Acquisition Workshop, PKAW 2014
  • Agent-Based Simulations of Smallholder Decision-Making in Land Use Change/Cover (LUCC) Problem, Case Study: Agricultural Land Conversion in Jambi Province, Indonesia
    Manahan Siallagan, Niken Prasasti Martono, Utomo Sarjono Putro
    In Agent-Based Approaches in Economics and Social Complex Systems IX. Agent-Based Social Systems, vol 15. Springer.