Machine Learning
Predictive, adaptive, and robust models for structured and unstructured data.
Research group · Universitas Riau
Machine learning for knowledge that matters.
We study learning systems, pattern discovery, language, vision, and decision support. Our work connects rigorous methods with problems that matter.
4Selected projects
6Research themes
2026–30Shared roadmap
MLKD research mapActive programme
ApproachRigorous methods
OutcomeUseful evidence
5Members
4Active projects
39Publications
11News & activities
What we study
Strong methods. Clear purpose.
We connect algorithms, data, and responsible deployment with questions that have scientific and practical value.
Knowledge Discovery
Patterns, relationships, and insights that support better understanding.
Language and Vision
Text, images, and multimodal data for real-world analysis.
Responsible AI
Explainability, validation, and human oversight in applied intelligent systems.
Spatial Intelligence
Machine learning for environmental, geographic, and public-sector challenges.
Decision Support
Evidence that helps people assess risk, set priorities, and act with confidence.
Featured work
Research in context
Selected projects show how MLKD connects technical work with environmental, social, and institutional needs.
Kampar Karhutla Watch
Kampar Karhutla Watch is a data-driven system developed to support early monitoring and mitigation of forest and land fires in Kampar Regency. Funded by Universitas Riau through the 2026 DIPA research program, the project is being developed in partnership with BPBD Kampar.
Kampar Fuel Intelligence
Kampar Fuel Intelligence is a data-driven system that estimates queue potential at fuel stations in Kampar Regency based on traffic conditions around each location. It provides risk levels, station rankings, and map-based recommendations to help users identify more suitable refuelling locations.
Peta Dakwah Cerdas (Intelligent Da’wah Mapping System)
Peta Dakwah Cerdas (PDC) is an intelligent mapping system developed to support preacher assignments and the preparation of relevant da’wah content. It connects mosque locations, preacher profiles, local social issues, and weather information to help plan more targeted da’wah activities.
News and activities
All news
Latest from MLKD
Pelatihan Desain Motif dan Warna Perkuat Inovasi Batik Muara Takus
Tim Pengabdian Universitas Riau melanjutkan pendampingan UMKM Batik Muara Takus melalui pelatihan desain motif dan kombinasi warna. Kegiatan ini memperkuat inovasi produk dengan tetap mempertahankan identitas Candi Muara Takus dan kearifan lokal Kampar.
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Dari Multi-Satelit ke Kebijakan Lingkungan: Rakernis Polda Riau Perkuat Peran Teknologi Perlindungan Lingkungan
Ketua KJFD MLKD FMIPA Universitas Riau, Assoc. Prof. Dr. Rahmad Kurniawan memaparkan peran teknologi cerdas dalam mendukung keputusan operasional, taktis dan strategis untuk perlindungan lingkungan pada Rakernis Polda Riau.
Pengukuran Langsung di Kampar: Alat IoT Mikroklimat Tim Peneliti UNRI Rekam Kualitas Udara Kampar Tidak Sehat
Pengukuran langsung IoT Mikroklimat di Bangkinang, Kampar, pada 9 September 2026 sekitar pukul 15.08 WIB menunjukkan PM2.5: 110,7 µg/m³, PM10: 123,9 µg/m³, suhu 34,2°C, kelembapan 47%, dan AQI 180. Data lapangan ini dikembangkan untuk mendukung keputusan di bidang mitigasi karhutla, kesehatan, pendidikan dan perlindungan masyarakat.
Tim Peneliti UNRI dan BPBD Kampar Uji IoT Mikroklimat untuk Mitigasi Karhutla
Tim peneliti Universitas Riau bersama BPBD Kabupaten Kampar melakukan pengumpulan data dan uji coba IoT Mikroklimat di Bangkinang, 9 September 2026. Perangkat digunakan untuk memperoleh data kondisi lapangan secara langsung dan akan diintegrasikan dengan Dasbor pemantauan.
Our people
A focused group built for collaboration.
MLKD brings together faculty, students, and partners around well-defined questions, shared research practices, and useful outcomes.
5members currently listedMeet the group