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Nuroini, Husna Mir'atin
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Integrasi Metode Statistika pada Penelitian Tindakan Kelas (PTK) bagi Guru SMA Dr. Soetomo Surabaya Zain, Ismaini; Budiantara, I Nyoman; Ratnasari, Vita; Rumiati, Agnes Tuti; Permatasari, Erma Oktania; Nuroini, Husna Mir'atin
Sewagati Vol 9 No 4 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i4.2446

Abstract

Program pengabdian masyarakat ini bertujuan untuk meningkatkan kompetensi guru SMA Dr. Soetomo dalam memanfaatkan metode statistika untuk mendukung pelaksanaan Penelitian Tindakan Kelas (PTK). Pelatihan bertemakan "Integrasi Metode Statistika pada Penelitian Tindakan Kelas (PTK)" disusun berdasarkan kebutuhan guru akan pemahaman metode penelitian dan kemampuan analisis data siswa. Kegiatan ini terdiri dari berbagai rangkaian acara, termasuk penyampaian materi terkait konsep dasar PTK, statistika deskriptif, pengujian hipotesis, korelasi dan regresi, serta demonstrasi penggunaan aplikasi Microsoft Excel. Melalui kegiatan Focus Group Discussion (FGD) dan pelatihan intensif, para guru diberikan pemahaman tentang bagaimana memanfaatkan data akademik dan non-akademik siswa untuk mengidentifikasi pola pembelajaran dan merancang strategi pengajaran yang efektif. Hasil dari kegiatan menunjukkan peningkatan pemahaman guru terhadap konsep PTK dan metode statistika. Hal ini diukur melalui pre-test dan post-test, serta kuesioner umpan balik yang menunjukkan tingkat kepuasan peserta yang tinggi terhadap pelatihan. Program ini diharapkan mampu mendorong guru untuk lebih aktif dalam penelitian dan meningkatkan kualitas pembelajaran di sekolah.
Spatial Extreme Value Analysis of Extreme Rainfall Using the Extremal-t Process Nuroini, Husna Mir'atin; Sutikno, Sutikno; Purhadi, Purhadi
Inferensi Vol 8, No 3 (2025)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v8i3.23351

Abstract

Indonesia’s diverse topography, consisting of coasts, lowlands, highlands, and mountains, results in a wide range of weather and climate conditions, enabling various hydrological phenomena such as extreme rainfall, hurricanes, high temperatures, and storms. In recent years, global warming has emerged as a major environmental concern, with one of its significant impacts being climate change. This, in turn, increases the frequency and intensity of extreme hydrological events, potentially causing floods, transportation and communication disruptions, infrastructure damage, agricultural losses, and threats to human life. This study aims to identify the best model and estimate the return levels of extreme rainfall in Ngawi Regency from March 1990 to November 2022 using spatial extreme value analysis with max-stable processes and the extremal-t process. Daily rainfall data from 1990 - 2018 were used for model training, while data from 2018 - 2022 were allocated for model testing to validate predictive performance. Parameter estimation was conducted using Maximum Likelihood Estimation (MLE) and Maximum Pairwise Likelihood Estimation (MPLE), solved through the Broyden-Fletcher-Goldfarb-Shanno (BFGS) Quasi-Newton numerical iteration method. The analysis shows that the best trend surface model has average rainfall and variance influenced by latitude, while the distribution shape is unaffected by latitude or longitude, indicating isotropy. Furthermore, the return level prediction demonstrates higher accuracy when applied over a three-year period.
Co-Authors Agnes Tuti Rumiati I Nyoman Budiantara Ismaini Zain Permatasari, Erma Oktania Purhadi Purhadi Sutikno Sutikno Vita Ratnasari