BERITA STATISTIK

  • Fifth Day Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program
    Post date: 23/06/2025 - 15:00

    The last day of the Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program took place on Monday, June 23, 2025, at 10:00–13:00 WIB in the FMIPA UNY Ballroom. In this session, Professor Osval Antonio Monteninos López, Ph.D. from Universidad de Colima, Mexico presented material on one of the methods in machine learning, namely Random Forest, covering the definition, basic concepts, how it works (algorithm), hyperparameter tuning, and variable importance measures (VIM) in Random Forest. In addition to presenting the material, he...

  • Fifth Day Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program
    Post date: 23/06/2025 - 15:00

    Hari terakhir Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program berlangsung pada Senin, 23 Juni 2025, pukul 10.00–13.00 WIB di Ruang Ballroom FMIPA UNY. Dalam sesi ini, Professor Osval Antonio Monteninos López, Ph.D. dari Universidad de Colima, Meksiko memaparkan materi mengenai salah satu metode dalam machine learning, yaitu Random Forest mencakup definisi, konsep dasar, cara kerja (algoritma), hyperparameter tuning, dan variable importance measures (VIM) dalam Random Forest. Selain memaparkan...

  • Fourth Day Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program
    Post date: 20/06/2025 - 15:00

    On Friday, June 20, 2025, the Statistics Study Program of Yogyakarta State University held a Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program on the fourth day which took place at 09.00-11.30 WIB in Meeting Room 3, FMIPA UNY. In this session, Professor Osval delivered material that focused on the kernel method. He explained starting from the definition and basic concepts of the kernel method, kernel functions and kernel matrices, various types of commonly used kernel functions, the application of kernels in glmnet and...

  • Fourth Day Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program
    Post date: 20/06/2025 - 15:00

    Pada hari Jumat, 20 Juni 2025, Program Studi Statistika Universitas Negeri Yogyakarta menyelenggarakan Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program hari keempat yang berlangsung pukul 09.00-11.30 WIB di Ruang Sidang 3 FMIPA UNY. Pada sesi ini, Professor Osval menyampaikan materi yang berfokus pada metode kernel. Beliau menjelaskan mulai dari definisi dan konsep dasar metode kernel, fungsi kernel dan matriks kernel, berbagai jenis fungsi kernel yang umum digunakan, penerapan kernel dalam glmnet dan mixed...

  • UNY Statistics Undergraduate Study Program Achieves UNGGUL Accreditation Rating from LAMSAMA
    Post date: 20/06/2025 - 14:00

    The Statistics Undergraduate Study Program of Universitas Negeri Yogyakarta has successfully obtained an accreditation rating of “UNGGUL” from the Independent Accreditation Institution for Natural Sciences and Formal Sciences (LAMSAMA) based on LAMSAMA Decree Number 103/SK/LAMSAMA/Akred/S/V/2025. This accreditation certificate is valid from May 19, 2025 to May 18, 2030. A brilliant achievement from hard work, collaboration, and commitment to continue to provide quality education. May the Statistics Study Program of Yogyakarta State University be even more...

  • Program Studi S1 Statistika UNY Meraih Peringkat Akreditasi UNGGUL dari LAMSAMA
    Post date: 20/06/2025 - 14:00

    Program Studi S1 Statistika Universitas Negeri Yogyakarta berhasil memeroleh peringkat akreditasi “UNGGUL” dari Lembaga Akreditasi Mandiri Sains Alam dan Ilmu Formal (LAMSAMA) berdasarkan Keputusan LAMSAMA Nomor 103/SK/LAMSAMA/Akred/S/V/2025. Sertifikat akreditasi ini berlaku sejak tanggal 19 Mei 2025 sampai dengan 18 Mei 2030. Sebuah pencapaian gemilang dari hasil kerja keras, kolaborasi, dan komitmen untuk terus menghadirkan pendidikan berkualitas. Semoga Program Studi Statistika Universitas Negeri Yogyakarta semakin jaya dan...

  • Third Day Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program
    Post date: 19/06/2025 - 15:00

    The third day of the Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program was held on Thursday, June 19, 2025, at 10:00-13:00 WIB in the FMIPA UNY Ballroom. In this session, Professor Osval continued the material from the previous day by discussing the application of the ridge regression and lasso regression methods to several datasets, namely Trouser, Dog, and Toy EYT using the help of Rstudio software. In addition, he also explained the mixed models method for genomic prediction, Bayesian ridge regression, and Bayesian...

  • Third Day Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program
    Post date: 19/06/2025 - 15:00

    Hari ketiga Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program dilaksanakan pada Kamis, 19 Juni 2025, pukul 10.00-13.00 WIB di Ruang Ballroom FMIPA UNY. Pada sesi ini, Professor Osval melanjutkan materi dari hari sebelumnya dengan membahas penerapan metode ridge regression dan lasso regression pada beberapa dataset, yaitu Trouser, Dog, dan Toy EYT menggunakan bantuan software Rstudio. Selain itu, beliau juga menjelaskan metode mixed models untuk prediksi genomik, Bayesian ridge...

  • Second Day Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program
    Post date: 18/06/2025 - 15:00

    On Wednesday, June 18, 2025, the Workshop on Statistical Machine Learning Methods for Genomic Prediction Using R Program on the second day started at 10:00-13:00 WIB in the FMIPA UNY Ballroom. In this workshop, Professor Osval Antonio Montesinos López, Ph.D. from Universidad de Colima, Mexico delivered advanced materials covering three main materials. First, computational genetics material that discusses genetic markers from genotype data, the process of recoding marker information according to the rules, to calculating the Minor Allele Frequency (MAF). Second...

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