FAJRI KOTO

The University of Melbourne

I am a first year PhD student at NLP Lab, School of Computing and Information System, with Australia Awards scholarship. My research interest includes Computational Linguistic, Deep Neural Network and Summarization. Previously, I was an employee at KMK-Online and Samsung R&D Indonesia.

  • Fajri Koto
  • Room 3.15, Desk 3, Doug McDonell
  • fajri[dot]phd
  • (+61)452083090
  • www.fajrikoto.com

What's New?

  • 2018-07-22: I officially started my PhD

    2017-12-05: Paper accepted to the 21st IALP (IEEE), Singapore

    2017-11-12: I'll be the Speaker in Statistika RIA Institut Pertanian Bogor, Indonesia

    2017-10-23: I am officially the awardee of Australia Awards for PhD, Pre Departure Training is begun!

    2017-07-30: I'll be the Speaker in Compfest 9, held by Faculty of Computer Science, UI.

    2017-07-07: My second patent is officially published.

    2016-12-09: I'll be a Speaker in Wrangle (Data Science Conference), Malaysia, Kuala Lumpur.

    2016-12-03: I'll be a Keynote Speaker and Trainer in Data Science Weekend Conferece, Yogyakarta, Indonesia.

    2016-11-12: I' ll be a Speaker in the Road Data Science Weekend, Beritagar Office, Jakarta, Indonesia.

    2016-05-26: My first patent is officially published.

    2016-04-20: Join KMKLabs as Data Scientist.

    2016-01-26: Paper accepted to the 10th Language Resources and Evaluation Conf. (LREC), Protoroz, Slovenia.

    2016-03-08: Paper accepted to the 12th IC2IT (Springer), Thailand.

    2015-10-17: Paper accepted to the 6th FIRE (ACM), Gandhinagar, India.

    2015-03-24: Paper accepted to the 20th NLDB (Springer), Passau, Germany.

    2014-12-25: Paper accepted to the 8th International Symposium on Mining and Web (IEEE), Korea.

    2014-10-31: Paper accepted to the 6th IWSDS (Springer), Busan, Korea

    2014-10-20: Get an award as Best Session Presenter in ICACSIS!

    2014-09-27: Paper accepted to the 6th ICACSIS (IEEE), Jakarta, Indonesia.

    2014-08-20: Paper accepted to the 6th Asia Pacific Signal and Information Processing Association (IEEE), Cambodia.

    2014-08-07: First Paper accepted to the 17th OCOCOSDA (IEEE), Thailand.

    2014-06-30: Join Samsung R&D Indonesia as Research Engineer

    2014-02-01: Master's degree is obtained.

    2013-06-30: Start the internship program in NAIST, Japan

    2013-02-01: Bachelor's degree is obtained.

Academic History

  • PhD of Engineering (Computer Science)August 2018 - present

    The University of Melbourne

    Fully funded program by Australia Awards Scholarship
    PhD Topic: "Neural Language Model for Abstractive Text Summarization"
    Advisor : Prof. Tim Baldwin and Jey Han Lau, Ph.D.

  • Master of Computer Science2013 - 2014

    University of Indonesia

    Graduated with Cum Laude (first class honor)
    Final thesis: "Analysis of Significant Features and Sentence Patterns in Twitter Sentiment Analysis"
    Advisor : Mirna Adriani, Ph.D.

  • Bachelor of Computer Science2009 - 2013

    University of Indonesia

    Graduated with Cum Laude (first class honor)
    Final thesis: "USB Protocol in Implementation of Keyboard Driver with Touch Sensor Using AVR ATxmega 256 A3BU"
    Advisor : Bob Hardian, Ph.D.

Research Interest

  • Natural Language Processing, Information Retrieval, Machine Learning, Speech processing

    In particular, it covers sub topics, such as:

    1) Natural Language Generation (Computational Linguistic)
    2) Deep Learning
    3) Text/Speech Summarization (Extractive and Abstractive)
    4) Sentiment Analysis and Emotion Detection on Social Media
    5) Spam Text/Video Detection
    6) Speech Recognition

Working Experience

  • Awardee of Australia Awards for PhD2017 - now

    Australia Embassy, INDONESIA

    Australia Awards (AAS) is one of the most prestigious international scholarship with highly competitive field of more than 5300 applicants.

  • Sr. Data Scientist2016 - 2017

    PT KMK-Labs / EMTEK Group, INDONESIA

    I am the PIC of Spam Detection System in KMK-Labs. This spam detection is integrated in BBM, Vidio, and Liputan6. I also work on Building Product Recommendation, Video Recommendation, Internal Tracking System
    Manager: Hafiz Badrie Lubis

  • Research Engineer2014 - 2016

    Samsung Research Institute IDONESIA

    Have responsibility as Patent planner, Data Scientist and doing research related to Chat Summarization
    Manager: Agus Kurniawan

  • Assistant ResearchSummer 2013

    Nara Institute of Science and Technology (NAIST), JAPAN

    Doing two researches on Speech Technology in AHC Labs , covering topics: 1) Speech Summarization and 2) Quote Detection on Speech
    Advisor : Dr.-Ing. Sakriani Sakti and Prof. Satoshi Nakamura

  • Teaching Assistant2010 - 2013

    Faculty of Computer Science, University of Indonesia

    a. Calculus 1 (Fall 2010) - Kasiyah, M.Sc
    b. Private Mentor (Spring 2011) - NA
    c. Database (Fall 2011) - Ika Alfina, M.Sc.
    d. Discrete Math 1 (Spring 2012) - Prof. Belawati H. Widjaja, Ph.D
    e. Private Mentor (Spring 2012) - NA
    f. Statistic and Probability (Fall 2012)- Ika Alfina, S.Kom., M.Kom.
    g. Theory of Language and Automata (Spring 2013) - Dina Cahyati, M.Sc.
    h. Statistic and Probability (Fall 2013) - Ika Alfina, S.Kom., M.Kom.

  • Android DeveloperSummer 2012

    PT Astra International, INDONESIA
Patents
  • 2017


    Patent United States US 2017/0177797 A1 - Agus Kurniawan, Fajri, Omar Abdillah "Apparatus and method for sharing personal electronic - data of health" Issued June 22, 2017 [Download]


  • 2015


    Patent United States US 2016/0147387 A1 - Yanuar Rahman, Omar Abdillah, Fajri "Method And Apparatus For Displaying Summarized Data" Issued November 20, 2015 [Download]


    Note: I have two other patents that are being processed by lawyer

International Publications

My paper is avalable in my Research Gate and Google Scholar.



  • 2017


    Fajri Koto, and Gemala Y. Rahmaningtyas "InSet Lexicon: Evaluation of a Word List for Indonesian Sentiment Analysis in Microblogs". IEEE in the 21st International Conference on Asian Language Processing (IALP), Singapore, 2017.

  • 2016


    Fajri Koto, "A Publicly Available Indonesian Corpora for Automatic Abstractive and Extractive Chat Summarization". in the Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC), Portorož, Slovenia, 2016.


    Fajri Koto, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura. "Automatic Detection of Memorable Spoken Quotes". in the 2016 Spring Meeting of the Acoustical Society of Japan, Yokohama, Japan, 2016.


    Fajri Koto, and Omar Abdillah, "Automatic Advisor for Detecting Summarizable Chat Conversations in Online Instant Messages". Springer in the 12th International Conference on Computing and Information Technology (IC2IT), Thailand, July 2016

  • 2015


    Fajri Koto, and Mirna Adriani. "HBE: Hashtag-Based Emotion Lexicons for Twitter Sentiment Analysis". ACM in The 6th Forum for Information Retrieval (FIRE 2015), Gandhinagar, India, December 2015


    Fajri Koto, and Mirna Adriani. "A Comparative Study on Twitter Sentiment Analysis: Which Features are Good?". Springer in The 20th International Conference on Applications of Natural Language To Information Systems (NLDB 2015), Passau, Germany, June 2015


    Fajri Koto, and Mirna Adriani. "The Use of POS Sequence for Analyzing Sentence Pattern in Twitter Sentiment Analysis". IEEE in The 8th International Symposium on Mining and Web (MAW15), Gwangju, Korea (join with the 29th AINA Conference), March 2015


    Fajri Koto, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura. "A Study On Natural Expressive Speech: Automatic Memorable Spoken Quote Detection". Springer in The 6th International Workshop on Spoken Dialog Systems (IWSDS), Busan, Korea, January 2015

  • 2014


    Fajri Koto, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura. "The Use of Semantic and Acoustic Features for Open-Domain TED Talk Summarization". IEEE in The 6th Asia Pacific Signal and Information Processing Association (APSIPA). Siem Reap, Cambodia, December 2014


    Fajri Koto. "SMOTE-Out, SMOTE-Cosine, and Selected-SMOTE: An Enhancement Strategy to Handle Imbalance in Data Level". IEEE in The 6th International Conference on Advanced Computer Science and Information Systems (ICACSIS), Jakarta, Indonesia, October 2014.


    Fajri Koto, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura. "Memorable Spoken Quote Corpora of TED Public Speaking". IEEE in The 17th Oriental COCOSDA Conference. Phuket, Thailand, September 2014.

Books
  • 2016


    Agus Kurniawan, Fajri Koto, Gilang Kusuma Jati, "Panduan Dasar Pemrograman Tizen". Published by Samsung Research Indonesia. Jakarta, 2016. [Download]


InSet Lexicon

  • A sentiment lexicon for Indonesia Language (3,609 pos and 6,609 neg)

    The Construction refers to: Fajri Koto, and Gemala Y. Rahmaningtyas "InSet Lexicon: Evaluation of a Word List for Indonesian Sentiment Analysis in Microblogs". IEEE in the 21st International Conference on Asian Language Processing (IALP), Singapore, December 2017.

    The InSet Lexicon consists of 3,609 positive words and 6,609 negative words with weight ranging from -5 to +5. [Download InSet-Lexicon]


Machine Learning Courses

  • Machine Learning Class, KMK-Labs

    In particular, it covers sub topics, such as:

    1) Class 01: Evaluation Metrics [Download]
    2) Class 02: Classification and Clustering [Download]
    3) Class 03: Linear Regression [Download]
    4) Class 04: Naive Bayes [Download]
    5) Class 05: Decision Tree [Download]
    6) Class 06: Neural Network [Download]
    7) Class 07: Handling Imblanced Dataset [Download]

  • Machine Learning Session, Data Science Weekend (4-5 Dec 2016)

    For two days, I delivered machine learning course for beginner and intermediate level:

    1) Day 01: [Download]
    2) Day 02: [Download]


Data Science Courses

  • SRIN Academy, Samsung Indonesia

    Collaborating with Agus Kurniawan, to deliver classes that cover topics:

    1) Week 01: Course Introduction
    2) Week 01: R Programming
    3) Week 02: Python Programming
    4) Week 03: Introduction of Data Preparation
    5) Week 03: Getting and Cleaning Dataset
    6) Week 04: Statistic
    7) Week 04: Statistical Inference
    8) Week 05: Introduction to Machine Learning
    9) Week 06: Machine Learning Algorithms


    Slides are available by request to my email


Tech Talk

  • KMK-Labs Tech Talk (2016-06-03)

    Automatic Text Summarization: Maximum Marginal Relevance (MMR) Technique. [Download]

  • Tizen Evangelist (2016-02-01)

    TIZEN Native UI Builder [Download]

  • Samsung Dojo (2015-05-20)

    An Automatic Advisor to Detect Summarizable Chat Conversation in Online Instant Messaging [Download]

  • Samsung Dojo (2014-10-22)

    How to do Research and Build Patent? [Download]