Highly accomplished Data Scientist and Research Specialist with an M.S. in Statistics and Data Science and extensive experience in Machine Learning, Data Mining, and Large Scale Data Analysis. Proven ability to translate complex data into actionable insights, evidenced by significant contributions to predictive modeling, natural language processing, and advanced statistical analysis across diverse research initiatives. Adept at leveraging data-driven approaches to solve critical challenges in areas such as patent analysis, commodity markets, and public health communication, consistently delivering impactful results and fostering innovation.
Researcher, Research Center for AI and Cyber Security
Bogor, West Java, Indonesia
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Summary
Leads advanced research initiatives in Machine Learning, Data Mining, and Data Science, focusing on developing innovative solutions for complex analytical challenges within the AI and Cyber Security domain.
Highlights
Developed and implemented news and social media modeling techniques, including topic modeling and sentiment analysis, to extract critical insights from large datasets and inform public discourse understanding.
Designed and deployed predictive models for Indonesian commodity prices, leveraging advanced statistical and machine learning algorithms to forecast market trends and support strategic decision-making.
Applied Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) to analyze and interpret legal and regulatory documents concerning transportation in Indonesia, enhancing information retrieval and compliance.
Conducted in-depth research across Machine Learning, Data Mining, and Data Science, contributing to the advancement of AI and cybersecurity capabilities within the national research agency.
Team Member, SATREPS Mari-culture: Optimizing Mari-culture Based on Big Data with Decision Support System
Bogor, West Java, Indonesia
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Summary
Contributed as a key team member to a collaborative big data initiative focused on optimizing mari-culture practices through advanced decision support systems.
Highlights
Conducted comprehensive research and developed predictive models for fish mortality, utilizing large-scale biological and environmental datasets to enhance mari-culture sustainability and reduce economic losses.
Collaborated with international and national stakeholders (JICA, Ministry of Marine Affairs and Fisheries) to integrate data-driven insights into practical strategies for improving aquaculture outcomes.
Team Member, CRDF Global research grant
Bogor, West Java, Indonesia
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Summary
Participated in a critical international research grant focused on understanding and improving research data governance to mitigate risks of WMD-applicable technology transfer.
Highlights
Performed in-depth research into Indonesian scientists' behavior regarding research data governance, identifying key patterns and potential vulnerabilities in data sharing practices.
Contributed to developing strategies and recommendations for preventing the transfer of WMD-applicable technologies through enhanced data management and ethical research protocols.
Researcher, Computational Research Center
Bogor, West Java, Indonesia
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Summary
Engaged in foundational research within the Computational Research Center, advancing knowledge in computational methodologies, machine learning, and data mining applications.
Highlights
Conducted research to expand computational knowledge, exploring new algorithms and frameworks to enhance data processing and analytical capabilities.
Applied advanced Machine Learning techniques to solve complex computational problems, contributing to the development of intelligent systems and predictive analytics.
Executed Data Mining projects to uncover hidden patterns and insights from large datasets, supporting strategic decision-making and innovation in various research areas.
Teaching Assistant, Statistics and Data Science Department
Bogor, West Java, Indonesia
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Summary
Supported undergraduate and graduate students in core statistical and data science courses, fostering a deeper understanding of complex analytical concepts and methodologies.
Highlights
Delivered instruction and provided academic support for courses in Statistical Analysis, Time Series Analysis, and Introduction to Statistics to diverse student cohorts.
Facilitated practical application of statistical software and techniques, improving student comprehension and problem-solving abilities in data-intensive environments.
Assisted in grading assignments and exams, providing constructive feedback that enhanced student learning outcomes and academic performance.
Researcher, Research Centre for Informatics
Bogor, West Java, Indonesia
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Summary
Performed research in Machine Learning, Data Mining, and Scientometrics, contributing to the informatics capabilities of the Indonesian Institute of Sciences.
Highlights
Developed and applied Machine Learning models to analyze complex datasets, enhancing predictive accuracy and uncovering valuable insights for scientific research.
Executed Data Mining projects to extract actionable intelligence from large scientific databases, improving information retrieval and knowledge discovery.
Conducted Scientometrics research to evaluate scientific output and impact, providing data-driven recommendations for research policy and resource allocation.
Team Leader
Bogor, West Java, Indonesia
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Summary
Led a research project focused on identifying global technology innovation trends for mangosteen development, leveraging patent application data to inform strategic agricultural and scientific initiatives.
Highlights
Directed a comprehensive study on mangosteen technology innovation, analyzing global patent application data to map development trends and emerging research areas.
Utilized advanced data analysis techniques to identify key innovators, technological gaps, and strategic opportunities for mangosteen cultivation and product development.
Managed project timelines and resources, ensuring successful completion of research objectives and the generation of valuable insights for agricultural policy and innovation.
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Master of Science (MS)
Statistics and Data Science
Grade: 3.88/4
Courses
Advanced Statistical Modeling
Machine Learning
Natural Language Processing
Big Data Analytics
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Bachelor of Science (BS)
Statistics
Grade: 3.45/4
Courses
Econometrics
Probability Theory
Statistical Inference
Risk Management
Awarded By
CRDF Global
Awarded a prestigious grant for research on critical data governance practices among Indonesian scientists, aimed at preventing the transfer of WMD-applicable technologies.
Awarded By
IPB University
Received a full scholarship to pursue a Master's program in Statistics and Data Science at IPB University, recognizing academic excellence and potential.
Awarded By
Ministry of Research, Technology and Higher Education
Secured a significant research grant from the Ministry of Research, Technology and Higher Education, supporting initiatives to strengthen the National Innovation System by enhancing synergies, productivity, and resource utilization in national R&D.
Published by
International Conference on Artificial Intelligence and Mechatronics System
Summary
A. Yaman et al., "A Grouper Fish Mortality Prediction Model Using Transfer Learning Approach," International Conference on Artificial Intelligence and Mechatronics System 2024.
Published by
2024 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
Summary
Y. Yaniasih, A. Yaman and S. Pebiana, "Assessment of Hyperparameter Optimization Techniques for Cross-Stitched Multi-Task Learning," 2024 International Conference on Computer, Control, Informatics and its Applications (IC3INA), Bandung, Indonesia, 2024, pp. 179-184, doi: 10.1109/IC3INA64086.2024.10732471.
Published by
Global Knowledge, Memory and Communication
Summary
Afifi, S., Yaman, A., Bakti, I.G.M.Y. and Sumaedi, S. (2024), "Health communication and social media: Asian perspective", Global Knowledge, Memory and Communication, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/GKMC-12-2023-0508
Published by
Quality Management Journal
Summary
Rakhmawati, T., Widianti, T., Damayanti, S., Astrini, N. J., Sumaedi, S., Yaman, A., & Bakti, I. G. M. Y. (2024). ISO 9001 research mapping: Trends, findings, and future issues. Quality Management Journal, 31(3), 198-221. https://doi.org/10.1080/10686967.2024.2355880
Published by
Business Process Management Journal
Summary
Widianti, T., Dinaseviani, A., Ayundyahrini, M., Sumaedi, S., Rakhmawati, T., Astrini, N.J., Bakti, I.G.M.Y., Damayanti, S., Yarmen, M., Jati, R.K., Yaman, A., Pandin, M., Hidayat, M., Prihanto, I.G., Gunawan, H. and Mahmudi, M. (2024), "Business continuity management: trends, structures and future issues", Business Process Management Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/BPMJ-01-2024-0046
Published by
International Journal of Energy Sector Management
Summary
Pandin, M., Sumaedi, S., Yaman, A., Ayundyahrini, M., Supriatna, N.K. and Hesty, N.W. (2024), "ISO 50001 based energy management system: a bibliometric perspective", International Journal of Energy Sector Management, Vol. 18 No. 6, pp. 1938-1963. https://doi.org/10.1108/IJESM-08-2023-0001
Published by
Kybernetes
Summary
Bakti, I.G.M.Y., Sumaedi, S., Yarmen, M., Pandin, M., Yaman, A., Jati, R.K. and Hidayat, M. (2024), "Autonomous vehicles and consumer acceptance: a bibliometric analysis perspective", Kybernetes, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/K-09-2023-1734
Published by
2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
Summary
A. Sihombing et al., "Assisting Crowdsourced Data Collection by using Data Mining Algorithms," 2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA), Bandung, Indonesia, 2023, pp. 131-136, doi: 10.1109/IC3INA60834.2023.10285735.
Published by
Cogent Social Sciences
Summary
Subhan Afifi, I Gede Mahatma Yuda Bakti, Aris Yaman & Sik Sumaedi (2023) COVID- 19 preventive behaviors and digital health communication media usage model, Cogent Social Sciences, 9:2, DOI: 10.1080/23311886.2023.2258663
Published by
PeerJ
Summary
Manik LP, Albasri H, Puspasari R, Yaman A, Al Hakim S, Siagian AHAM, Kushadiani SK, Riyanto S, Setiawan FA, Thesiana L, Jabbar MA, Saville R, Wada M. 2023. Usability and acceptance of crowd-based early warning of harmful algal blooms. PeerJ 11:e14923 https://doi.org/10.7717/peerj.14923
Published by
2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
Summary
A. Indrawati, Z. Akbar, Y. A. Kartika, D. R. Saleh, A. K. Hayati and A. Yaman, "Unlocking the Power of Linked Data for Metadata Enrichment," 2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA), Bandung, Indonesia, 2023, pp. 232-237, doi: 10.1109/IC3INA60834.2023.10285760.
Published by
2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
Summary
Y. A. Kartika, Z. Akbar, A. Indrawati, D. R. Saleh, Haryono and A. Yaman, "Revealing the Development of Fish Species Identification Process through An Ontology Mapping Approach," 2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA), Bandung, Indonesia, 2023, pp. 143-148, doi: 10.1109/IC3INA60834.2023.10285733.
Published by
2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
Summary
L. P. Manik et al., "Utilizing Knowledge Bases in Filtering IoT Data to Predict Algal Blooms," 2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA), Bandung, Indonesia, 2023, pp. 43-48, doi: 10.1109/IC3INA60834.2023.10285783.
Published by
2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
Summary
A. Yaman et al., "Harmful Algal Blooms Prediction Model: Dealing With Limited Datasets," 2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA), Bandung, Indonesia, 2023, pp. 370-375, doi: 10.1109/IC3INA60834.2023.10285812.
Published by
DESIDOC Journal of Library & Information Technology
Summary
Yaman, A., Sartono, B., Indrawati, A., Kartika, Y., & Soleh, A. M. (2022). Automated Multi Label Classification on Fertilizer Themed Patent Documents in Indonesia. DESIDOC Journal of Library & Information Technology, 42(4), 218-226. https://doi.org/10.14429/djlit.42.4.17733
Summary
Yaman, A., Aris, Y., Indrawati, A., & Akbar, Z. (2022). Non-Gaussian Analysis of Herbarium Specimen Damage to Optimize Specimen Collection Management. 5(1), 1–16.
Published by
Berkala Ilmu Perpustakaan dan Informasi
Summary
Yaman, A., Sartono, B., & Soleh, A. M.(2021). Topic modeling on patent documents related to fertilizers in Indonesia based on Latent Dirichlet Allocation. Berkala Ilmu Perpustakaan dan Informasi, 17(2), 168-180. doi: 10.22146/bip.v17i2.2147
Published by
Berkala Ilmu Perpustakaan dan Informasi
Summary
Yaman, A., Sartono, B., & Sholeh, A. M. (2020). Document-based identification of research institute innovation skills in Indonesia. Berkala Ilmu Perpustakaan dan Informasi, 16(2), 142-154. Doi: 10.22146/bip.v16i2.424
Published by
BACA: Jurnal Dokumentasi Dan Informasi
Summary
Riyanto, S., Marlina, E., Subagyo, H., Triasih, H., & Yaman, A. (2020). Data quality assessment method as recommendation of national scientific repository system. BACA: Jurnal Dokumentasi Dan Informasi, 41(1), 11-22.
Published by
{IOP} Conference Series: Earth and Environmental Science
Summary
Simamora, M., Hama, S., Yoshida, A., Maulana, S., Firdaussy, U. F., & Yaman, A. (2020). Potential Environmental and Economic Impacts of Biofuel Production for the Local Community: A Case Study. {IOP} Conference Series: Earth and Environmental Science, 439(1), 12068. https://doi.org/10.1088/1755-1315/439/1/012068
Published by
Proceedings of the 2019 3rd International Conference on Advances in Artificial Intelligence
Summary
Yaniasih, Y., Yaman, A., Yoganingrum, A., Saputra, F. A., Susanto, H., & Riyanto, S. (2019, October). Improving Metrics to Rank the Research Performance. In Proceedings of the 2019 3rd International Conference on Advances in Artificial Intelligence (pp. 112-116). doi:10.1145/3369114.3369317
Published by
Int. J. Adv. Sci. Eng. Technol.
Summary
Yaman, A., Ankafia, A. D. I., Tsurayya, S. & Pujasari, S. R. (2019). Identification Of Technology Innovation For Mangostene ( Garcinia mangostana Linn.) Development Based. Int. J. Adv. Sci. Eng. Technol. 3–12.
Published by
Baca: Jurnal Dokumentasi Dan Informasi
Summary
Yaman, A., Yoganingrum, A., Yaniasih, Y., & Riyanto, S. (2019). Systematic Literature Review of Digital Library Databases: Research Trends, Methodology, and Coverage Fields. Baca: Jurnal Dokumentasi Dan Informasi, 40(1), 1-20.
Published by
BACA: JURNAL DOKUMENTASI DAN INFORMASI
Summary
Yaman, A. (2017). Social Network Analysis in articles related to Small and Medium Enterprises in Indonesia. BAČA: JURNAL DOKUMENTASI DAN INFORMASI, 38(1), 15-26. Doi: 10.14203/j.baca.v38i1.285
Published by
JKAP (Jurnal Kebijakan dan Administrasi Publik)
Summary
Yaman, A. (2016). Actors Determination Strategy in Registered Social Network Patents in the Framework of Rewards towards Inventors A Case Study: LIPI Registered Patents 2016. JKAP (Jurnal Kebijakan dan Administrasi Publik), 20(2), 64-72. doi: 10.22146/jkap.22371
Published by
Statistika
Summary
Djuraidah, A., Silvianti, P., & Yaman, A. (2011). Bank XXX Operational Risk Analysis with Extreme Value Theory Method. Statistika, 11(2).
R, Python.
RStudio, Tableau.
Data Science, Data Mining, Large Scale Data Analysis, Multidimensional Scaling, Statistical Analysis, Time Series Analysis, Predictive Modeling, Big Data Analytics, Quantitative Analysis, Data Visualization.
Machine Learning, Topic Modeling, Sentiment Analysis, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG) LLM, Computational Knowledge.
Research Data Governance, Scientometrics, Ontology Mapping, Data Quality Assessment, Social Network Analysis, Extreme Value Theory, Transfer Learning, Hyperparameter Optimization, Crowdsourced Data Collection, IoT Data, Linked Data.
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Summary
Developed and applied topic modeling and sentiment analysis techniques to news and social media data, extracting insights into public discourse and sentiment.
→
Summary
Focused on developing and deploying predictive models to forecast commodity prices in Indonesia, utilizing various statistical and machine learning approaches.
→
Summary
Applied Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) to analyze and interpret legal and regulatory documents related to transportation in Indonesia.
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Summary
Led a research project to identify global technology innovation trends for mangosteen development by analyzing worldwide patent application data.