Updated on 2025/07/04

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Saville Ramadhona

Associate Professor

Title

Associate Professor

Contact information

Contact information

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From School 【 display / non-display

  • Tokyo University of Agriculture   Faculty of International Studies   International Bio-business   Graduated

    2007.04 - 2011.03

From Graduate School 【 display / non-display

  • Tokyo University of Agriculture   Graduate School, Division of Agriculture   International Bio-business   Doctoral program (first term)   Completed

    2011.04 - 2013.03

Degree 【 display / non-display

  • PhD ( 2016.03   Tokyo University of Agriculture )

Employment Record in Research 【 display / non-display

  • Tokyo University of Agriculture   Faculty of International Agriculture and Food Studies   Department of Agribusiness Management   Associate Professor

    2023.04

  • Tokyo University of Agriculture   Faculty of International Agriculture and Food Studies   Department of International Bio-Business Studies   Assistant Professor

    2018.09 - 2023.03

External Career 【 display / non-display

  • Mitsubishi Electric   Advanced Technology R&D Center, Drive & Control Systems Department   Researcher

    2016.04 - 2018.09

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    Country:Japan

Professional Memberships 【 display / non-display

  • International Economics Development and Research Center (IEDRC)

    2019.09

  • Marine Technology Society

    2019.07

  • International Society for Southeast Asian Agricultural Sciences (ISSAAS)

    2019.05

Research Interests 【 display / non-display

  • Applied Statistics

  • Numerical Analysis

  • Smart Agriculture

  • Smart Fisheries

  • Consumer behavior

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Papers 【 display / non-display

  • Spatial heterogeneity of marine debris distribution on a tropical remote island shoreline Reviewed International coauthorship

    Purnama, D., Zamani, N. P., Bengen, D. G., Saville, R., & Cordova, M. R.

    Global Journal of Environmental Science & Management   11 ( 2 )   461 - 480   2025.04

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.22034/gjesm.2025.02.06

    DOI: 10.22034/gjesm.2025.02.06

  • Tomato Consumer Behavior in Hino City, Japan: Application of Multiple Correspondence and K-means Cluster Analyses

    GUNASEKARA HETTIGE SAMITHA LAKSHAN, SHIMOGUCHI NINA N., TERANO RIKA, SAVILLE RAMADHONA, HATANAKA KATSUMORI

    International Journal of Environmental and Rural Development   15 ( 2 )   157 - 166   2025

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    Language:English   Publisher:Institute of Environmental Rehabilitation and Conservation, Research Center  

    <p>Japan is currently facing multiple challenges related to an aging society, including labor shortages in various sectors, especially in agriculture. Despite government support, new farmers struggle to discern and understand market trends, changing consumer behavior, and seasonal changes. This study focuses on tomatoes and aims to assist new farmers and producers in making strategic decisions by utilizing data science techniques to understand local market consumer behavior and trends. A questionnaire survey was used to identify consumer behavior based on demographic characteristics, consumer preferences, seasonal buying and consumption behaviors, spending price per purchase, and purchasing channels. We collected 316 valid data points using a questionnaire survey deployed in face-to-face interactions across multiple locations as well as online collection methods. Data was collected from May 01, 2022, to June 30, 2022. Multiple correspondence analysis and K- means cluster analysis were used to determine six consumer segments - convenient supermarket shoppers, premium salad shoppers, price-conscious tomato enthusiasts, diverse tomato tasters, quality-conscious shoppers, and gourmet tomato shoppers. The analyses revealed the unique characteristics of tomato purchasing and consumption behaviors, including variations in tomato type, consumption type, season, demographic factors, and preferred purchasing channels. This study further explored the factors influencing tomato purchasing decisions within each segment by integrating data-driven decision-making principles. This approach allows for actionable insights facilitated by understanding local consumers while empowering new tomato farmers to make informed decisions.</p>

    DOI: 10.32115/ijerd.15.2_157

  • Local supply chain actor roles in farmer organisation information networks: Empirical findings from two Indonesian farmer organisations Reviewed International coauthorship

    Kusnandar, K., Apriliyani, E. K., Wicaksono, A., & Saville, R.

    World Development Perspectives   35   100619   2024.09

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.1016/j.wdp.2024.100619

    DOI: https://doi.org/10.1016/j.wdp.2024.100619

  • The Dynamics and Water Quality Status of a Tropical Coastal Lake in Anak Laut Lake, Singkil Indonesia Reviewed International coauthorship

    Leidonald, R., Muhtadi, A., Susetya, I. E., Dewinta, A. F., Hasibuan, J. S., Simamora, L. F., & Saville, R.

    ILMU KELAUTAN: Indonesian Journal of Marine Sciences   29 ( 3 )   329 - 339   2024.09

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.14710/ik.ijms.29.3.329-339

    DOI: 10.14710/ik.ijms.29.3.329-339

  • A Grouper Fish Mortality Prediction Model Using Transfer Learning Approach Reviewed

    Yaman, A., Saville, R., Puspasari, R., Albasri, H., & Pardede, H. F.

    IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)   1 - 6   2024.02

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/AIMS61812.2024.10513177

    DOI: 10.1109/AIMS61812.2024.10513177

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Books and Other Publications 【 display / non-display

Industrial Property Rights 【 display / non-display

  • Tool path correction device, tool path correction method and numerical control device

    Saville Ramadhona, Iriguchi Kenji and Kaneko Hiroki

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    Application no:JP2018/138693  Date applied:2018.03

    Announcement no:WO/2020/021793   Date announced:2020.01

    Country of applicant:Domestic  

  • Manufacturing process generation device, manufacturing process generation and program

    Wakairo Joji, Kenji Iriguchi, Susumu Matsubara, Hiroki Kaneko, and Ramadhona Saville

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    Application no:PCT/JP2017/025309   Date applied:2017.07

    Publication no:WO/2018/123116  Date published:2018.07

    Country of applicant:Domestic  

Honours, Awards and Prizes 【 display / non-display

  • Best presentation award in ICFA 2021 Precautionary measures to avoid negative effects session

    2021.08   The 8th International Conference on Fisheries and Aquaculture (ICFA 2021)   A study on trigger factor of Harmful algal blooms in Lampung Bay, Indonesia

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    Award type:International academic award (Japan or overseas)  Country:Japan

  • Japan National Member Organization Outstanding Contribution Award

    2012.07   An automatic and cost free method for paddy area classification by the wavelet analysis of NDVI data series   An automatic and cost free method for paddy area classification by the wavelet analysis of NDVI data series

    Saville Ramadhona, Hatanaka Katsumori

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    Award type:Award from international society, conference, symposium, etc.  Country:Spain

Presentations 【 display / non-display

  • A Machine-learning-based Mariculture Fish Mortality Risk Prediction International coauthorship International conference

    Ramadhona Saville

    The XX CIGR World Congress 2022  2022.12  CIGR

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    Event date: 2022.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Kyoto  

  • Shaping a better primary industry through smart technologies Invited International conference

    Ramadhona Saville

    ISSAAS 2022  2022.11  ISSAAS

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    Event date: 2022.11

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Bogor  

  • The importance of low-cost smart technologies application on the primary industry for rural development in Asia International conference

    Saville R. and Hatanaka K.

    SEARCA 3rd Faculty Forum -Agricultural Science for a Better World-  2022.01 

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    Event date: 2022.01

    Language:English   Presentation type:Oral presentation (general)  

  • A Study on Trigger Factor of Harmful Algal Blooms in Lampung Bay, Indonesia International conference

    Saville R., Shimojima H., Muawanah, Puspasari R., Hatanaka K. and Albasri H.

    8th International Conference on Fisheries and Aquaculture 2021 (ICFA 2021)   2021.08 

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    Event date: 2021.08

    Language:English   Presentation type:Oral presentation (general)  

  • A study on Muslim Consumer Behavior in Japan Prior to Tokyo 2020 Olympic Paralympic International conference

    Ramadhona Saville

    2020 the 5th International Conference on Marketing, Business and Trade, Osaka  2020.01 

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    Event date: 2020.01

    Language:English   Presentation type:Oral presentation (general)  

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Teaching Experience 【 display / non-display

  • バイオビジネス情報システム論

    Institution:Tokyo University of Agriculture

  • バイオビジネス統計学(一)

    Institution:Tokyo University of Agriculture

  • バイオビジネス統計学演習

    Institution:Tokyo University of Agriculture

  • インドネシア実地研修

    Institution:Tokyo University of Agriculture

  • 卒論演習1,2,3,4

    Institution:Tokyo University of Agriculture

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Social Activities 【 display / non-display

  • IEEE/MTS OCEANS 2019 Marseille Session Chair

    2019.06

  • Marine IT Workshop 2019 Ishigaki Session Chair

    2019.03

Attractiveness of Research 【 display / non-display

  • Motto: Research should be rigorous and fun!
    My biggest interest is conducting data analysis in various fields, from agriculture, fisheries, marketing, consumer behavior and so on.
    As long as there is data we can use statistics, machine learning or AI to do the analysis numerically and find a new phenomenon hidden behind the data.
    Besides, data analysis can also be useful to predict and classify your target research object in the future.
    Would you like to do research using data analysis together?