Arie Wahyu Wijayanto

Welcome

Hi, my name is Arie Wahyu Wijayanto. Currently, I am serving as the Head of the Center for Research and Community Service (PPPM) at Politeknik Statistika STIS, Jakarta, Indonesia. I obtained a Doctor of Engineering degree in computer science from Tokyo Institute of Technology, Japan. I was a member of Murata Laboratory which specializes in research on artificial intelligence, especially network science, machine learning, and web mining. During my doctoral study, I was under the supervision of Prof. Tsuyoshi Murata (Tokyo Institute of Technology). Previously, I was intensively working under the supervision of Dr. Ayu Purwarianti (Bandung Institute of Technology, Indonesia), Dr. Le Hoang Son (Vietnam National University), Dr. Muchammad Romzi and Mr. Roby Darmawan (BPS - Statistics Indonesia).

Github | Google Scholar | Scopus | Web of Science | IEEE | ResearchGate
Email: ariewahyu {at} gmail {dot} com

News

2020-03-26 I graduated from Tokyo Institute of Technology and got the degree of Doctor of Engineering (Dr. Eng.)
2019-03-12 My paper, "Effective and scalable methods for graph protection strategies against epidemics on dynamic networks", is accepted at Applied Network Science journal, published by Springer
2018-12-04 Our paper, co-authored by all PhD students in Murata Lab, "Towards Robust Compressed Convolutional Neural Networks", is accepted at IEEE BigComputing 2019 Conference. Kyoto, Japan.
2018-11-01 Our paper, co-authored by all PhD students in Murata Lab, "Robustness of Compressed Convolutional Neural Networks", is accepted at BigCyber 2018 workshop, co-located in IEEE BigData 2018 Conference. Seattle, USA.
2018-08-27 My paper, "Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning", is accepted at Web Intelligence 2018 conference. Santiago, Chile.
2018-03-17 My paper, "Pre-Emptive Spectral Graph Protection Strategies on Multiplex Social Networks", is accepted at Applied Network Science journal, published by Springer
2018-03-13 I am appointed as Program Committee of KG4IR Workshop on SIGIR 2018 Conference
2017-07-03 My paper from the extended version of my master thesis, "Enhancing Clustering Quality of Fuzzy Geographically Weighted Clustering using Ant Colony Optimization", is accepted at ICoDSE 2017 conference. Palembang, Indonesia
2017-05-16 My paper, "Flow-Aware Vertex Protection Strategy for Large Social Network", is accepted at ASONAM 2017 conference. Sydney, Australia.







Research

Graph Protection Strategies for Large Social Networks

Networks are fundamental models for representing and analyzing the structures of real-world systems. One essential problem in networks is how to protect a limited number of nodes to restrain the spreading of malicious attacks or dangerous rumor in the networks, which is called graph protection problem. Our research aims to make breakthroughs in developing effective and scalable methods for graph protection problem in three representative network models. In particular,

1) GraphShield method is proposed for graph protection strategy in single-layered static networks. It combines the connectivity and degree centrality criteria.

2) MultiplexShield method which combines the spectral property, degree centrality, and layer-wise epidemic propagation rate is proposed for protecting multiplex networks.

3) For dynamic networks, we propose ReProtect method which constructs the minimum vertex cover of the given dynamic network snapshot.

These three proposed methods are scalable and more effective than the existing state-of-the-art techniques.

Paper:
  • Arie Wahyu Wijayanto, Tsuyoshi Murata: Effective and scalable methods for graph protection strategies against epidemics on dynamic networks. Applied Network Science. 2019. Springer. Link
  • Arie Wahyu Wijayanto, Tsuyoshi Murata: Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning. Web Intelligence 2018, Santiago, Chile. Link
  • Arie Wahyu Wijayanto, Tsuyoshi Murata: Pre-emptive spectral graph protection strategies on multiplex social networks. Applied Network Science. 2018. Springer. Link
  • Arie Wahyu Wijayanto, Tsuyoshi Murata: Flow-Aware Vertex Protection Strategy for Large Social Network. ASONAM 2017, Sydney, Australia. Link

Data Mining and Fuzzy Geo-Demographic Clustering

One of the most interesting interdisciplinary research topics between Geographic Information Systems and Data Mining are known as Geo-demographic analysis (GDA). Among some methods in this field, Fuzzy Geographically Weighted Clustering (FGWC) is considered as the state-of-the-art for Geo-demographic segmentation.

On the other hand, recent studies show that its quality of clustering achievement can be improved. One of its limitations is in cluster initialization phase, which performed randomly. In this research, we introduce a hybrid approach of FGWC based on metaheuristic optimization to overcome the limitation. The experimental evaluation through public data set studies shows that the proposed method obtains better clustering quality.

Paper:
  • Arie Wahyu Wijayanto, Ayu Purwarianti, Le Hoang Son: Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population. Applied Intelligence 03/2016; 44(2). Springer. Link
  • Arie Wahyu Wijayanto, Siti Mariyah, Ayu Purwarianti: Enhancing Clustering Quality of Fuzzy Geographically Weighted Clustering using Ant Colony Optimization. ICoDSE 2017, Palembang. Link
  • Arie Wahyu Wijayanto, Ayu Purwarianti: Improvement of Fuzzy Geographically Weighted Clustering using Particle Swarm Optimization. International Conference on Information Technology Systems and Innovation (ICITSI) 2014, Bandung; 11/2014. Link
  • Arie Wahyu Wijayanto, Ayu Purwarianti: Improvement Design of Fuzzy Geo-demographic Clustering using Artificial Bee Colony Optimization. The 3rd International Conference on Information Technology for Cyber & IT Service Management (CITSM) 2014, Jakarta; 11/2014. Link
  • Arie Wahyu Wijayanto, Takdir: Fighting Cyber Crime in Email Spamming: An Evaluation of Fuzzy Clustering Approach to Classify Spam Messages. International Conference on Information Technology Systems and Innovation (ICITSI) 2014, Bandung; 11/2014. Link

Service Oriented Architecture

Service oriented architecture (SOA) enables organizations to easily integrate systems, data, and business processes. Implementation of SOA solution in private sector is widely used and successfully proven to increase their profit. But there are different challenge in public sector which is not profit oriented and has different business model. In public sector, user satisfaction on government agencies is one of common indicator to measure quality of public service.

This research presents SOA solution for public sector using SOMA to conduct a service integration for optimizing public satisfaction. We also combined SWOT and Porter’s Value Chain to support business modelling analysis. The result shows that there is a simplicity and feasibility for users to access the service after SOA integration, which improves user satisfaction.

Paper:
  • Arie Wahyu Wijayanto, Suhardi: Service Oriented Architecture Design using SOMA for Optimizing Public Satisfaction in Government Agency Case Study: BPN – National Land Authority of Indonesia. International Conference on ICT for Smart Society (ICISS) 2014, Bandung; 09/2014. Link

Publication

International Journal

  1. Arie Wahyu Wijayanto, Tsuyoshi Murata: Pre-Emptive Spectral Graph Protection Strategies on Multiplex Social Networks. Applied Network Science. 2018. Springer Link
  2. Arie Wahyu Wijayanto, Ayu Purwarianti, Le Hoang Son: Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population. Applied Intelligence 03/2016; 44(2). Springer. Link

Peer-Reviewed International Conference 

  1. Arie Wahyu Wijayanto, Tsuyoshi Murata: Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning. Web Intelligence 2018, Santiago, Chile. Link
  2. Arie Wahyu Wijayanto, Tsuyoshi Murata: Flow-Aware Vertex Protection Strategy for Large Social Network. ASONAM 2017, Sydney. Link
  3. Arie Wahyu Wijayanto, Siti Mariyah, Ayu Purwarianti: Enhancing Clustering Quality of Fuzzy Geographically Weighted Clustering using Ant Colony Optimization. ICoDSE 2017, Palembang. Link
  4. Arie Wahyu Wijayanto, Ayu Purwarianti: Improvement of Fuzzy Geographically Weighted Clustering using Particle Swarm Optimization. International Conference on Information Technology Systems and Innovation (ICITSI) 2014, Bandung; 11/2014. Link
  5. Arie Wahyu Wijayanto, Takdir: Fighting Cyber Crime in Email Spamming: An Evaluation of Fuzzy Clustering Approach to Classify Spam Messages. International Conference on Information Technology Systems and Innovation (ICITSI) 2014, Bandung; 11/2014. Link
  6. Arie Wahyu Wijayanto, Ayu Purwarianti: Improvement Design of Fuzzy Geo-demographic Clustering using Artificial Bee Colony Optimization. The 3rd International Conference on Information Technology for Cyber & IT Service Management (CITSM) 2014, Jakarta; 11/2014. Link
  7. Arie Wahyu Wijayanto, Suhardi: Service Oriented Architecture Design using SOMA for Optimizing Public Satisfaction in Government Agency Case Study: BPN – National Land Authority of Indonesia. International Conference on ICT for Smart Society (ICISS) 2014, Bandung; 09/2014. Link

Domestic Conference

  1. Arie Wahyu Wijayanto: Desain Sistem Terintegrasi Analisis Persepsi Publik pada Media Sosial Berbasis Internet of Thing untuk Pendukung e-Government Studi Kasus : Badan Pusat Statistik. e-Indonesia Initiatives (eII-Forum) 2014, Bandung; 06/2014. Link

On Going Project

CREST-Deep

Fast and cost-effective deep learning algorithm platform for video processing in social infrastructure

We aim to establish a high-performance real-time deep learning algorithm basis for detecting objects and anomalies from large amount of high definition videos. This project is funded by Japan Science and Technology Agency (JST)

RWBC-OIL

Compressing deep convolutional neural networks using complex network approaches

We aim to compress Deep CNN to 1/100 based on its graph structure. This project is funded by National Institute of Advanced Industrial Science and Technology (AIST)



Experience

Education

  • 2016.04 - 2020.03, Doctor of Engineering in Computer Science

    • Tokyo Institute of Technology, Japan
    Thesis title: Developing Effective and Scalable Graph Protection Strategies for Large Social Networks.

  • 2013.08 - 2015.04, Master of Science in Computer Science/Informatics

    • Bandung Institute of Technology (ITB), Indonesia. Cum Laude.
    Thesis title: Improvement of Fuzzy Geo-Demographic Clustering using Metaheuristic Optimization on Indonesia Population Census.

  • 2004.07-2008.10, Bachelor of Applied Science in Computational Statistics

    • Institute of Statistics (STIS), Indonesia.
    Thesis title: Design and Implementation Expert System for Data Analysis using Java Expert System Shell. (In Indonesian Language).

Work

  • 2017.01 - 2019.03, Research Assistant, Murata Laboratory, Tokyo Institute of Technology
  • 2009.02 - 2020.07, Regional Accounts IT Developer, Statistics Indonesia (BPS)

Reviewer

  • IEEE International Conference on Data Mining (ICDM) 2016
  • IEEE International Conference on Data Mining (ICDM) 2017
  • IEEE International Conference on Data Mining (ICDM) 2018
  • Information Retrieval Journal (Springer)
  • Applied Soft Computing Journal (Elsevier)
  • International Journal of Fuzzy Systems (Springer)

Professional Membership



Invited Talks
  1. Lecturer on “Data Mining: Neural Network, Fuzzy Logic and Fuzzy Clustering” at “Institute of Statistics (STIS)”, Jakarta, Indonesia. July 2015.
  2. Trainer on “Web Development Training using Code Igniter Framework” at “IPTEK.NET, Puspiptek Badan Pengkajian dan Penerapan Teknologi (BPPT)”, Serpong, Indonesia. June 2-5, 2014
  3. Invited Speaker on “Service Oriented Architecture Overview” at “IPTEK.NET, Puspiptek Badan Pengkajian dan Penerapan Teknologi (BPPT), Serpong, Indonesia. September 2, 2014.


Awards
  • 2016-2020, Scholarship for PhD degree: Indonesia Endowment Fund for Education (LPDP)
  • 2013-2015, Scholarship for Master degree: BPS Postgraduate Scholarship
  • 2006, Finalist in Bina Nusantara Programming Contest for College Student (BNPCCS)
  • 2004-2008, Scholarship for Undergraduate study from the Indonesian government at the Institute of Statistics, Jakarta











Calendar