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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Journal of Degraded and Mining Lands Management Journal of Innovation and Applied Technology
Waego Hadi Nugroho
Prodi Statistika Jurusan Matematika FMIPA Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Mathematics

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Hybrid Model GSTAR-SUR-NN For Precipitation Data Sulistyono, Agus Dwi; Nugroho, Waego Hadi; Fitriani, Rahma; Iriani, Atiek
CAUCHY Vol 4, No 2 (2016): CAUCHY
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (701.925 KB) | DOI: 10.18860/ca.v4i2.3490

Abstract

Spatio-temporal model that have been developed such as Space-Time Autoregressive (STAR) model, Generalized Space-Time Autoregressive (GSTAR), GSTAR-OLS and GSTAR-SUR. Besides spatio-temporal phenomena, in daily life, we often find nonlinear phenomena, uncommon patterns and unidentified characteristics of the data. One of current developed nonlinear model is a neural network. This study is conducted to form a hybrid model GSTAR-SUR-NN to develop spatio-temporal model that has better prediction. This research is conducted on ten-daily rainfall data at 2005 - 2015 for Blimbing, Singosari, Karangploso, Dau, and Wagir region. Based on the results of this research, indicated that the accuracy of GSTAR ((1), 1,2,3,12,36)-SUR model used cross-covariance weight has relatively similar to GSTAR ((1), 1,2,3 , 12.36)-SUR-NN (25-14-5) for  Blimbing and Singosari region with 5% error level. While Karangploso, Dau, and Wagir, GSTAR ((1), 1,2,3,12,36)-SUR-NN (25-14-5) model has better accuracy in predicting the precipitation at three locations with the value of R2prediction for each location is 0.992, 0.580, and 0.474.
Sicad: Smart Information System For Village Administration As An Empowering Ngadiluwih Village Kediri In Improving Community Services Astuti, Ani Budi; Nugroho, Waego Hadi; Sumarminingsih, Eni; Rotchildi, Gusti Ayu Putu Rawi; Sa'diyah, Nur Kamilah; Kalangi, Olyvia Maria; Ibnu, Muhammad
Journal of Innovation and Applied Technology Vol 9, No 2 (2023)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiat.2023.9.2.01

Abstract

The Ngadiluwih Village Government, Kediri Regency, East Java Province also really needs an Android-based application so that the reach of access is wide in an effort to digitize villages to improve village administration services online. The purpose of this community service activity is to build and develop the Ngadiluwih Village Government Smart Information System application, which is abbreviated as Ngadiluwih SICAD in the context of empowering Ngadiluwih Village in an effort to improve online village administration services to the community. The socialization, implementation, and assistance were also carried out to village officials and the community regarding the Ngadiluwih SICAD application product. The results of this activity show that the Ngadiluwih SICAD that has been built is in accordance with the expectations and needs of Ngadiluwih Village and the community with 14 types of letter facilities.
Effects of land cover, slope, and soil physical properties on runoff coefficient in Upper Brantas Sub-watershed Cahya, Utik Tri Wulan; Utomo, Wani Hadi; Nugroho, Waego Hadi; Suharyanto, Agus
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8593

Abstract

Management of water resources in watersheds requires an in-depth understanding of the factors that influence the runoff coefficient. This study aimed to analyze the influence of land cover, slope, and soil physical properties on the runoff coefficient in the Upper Brantas Sub-watershed and develop a prediction model using multiple linear regression. The research was conducted in Pesanggrahan Village, Batu City, using nine observation plots consisting of three types of land cover (dense canopy, moderate canopy, and sparse canopy) with three slope classes (15%, 25%, and 35%). Surface runoff measurements were conducted using 150 m² plots during the rainy season. Pearson correlation analysis showed that the runoff coefficient was significantly negatively correlated with land cover percentage (r = -0.551; p<0.001) and Dry Microaggregate Ratio (DMR) index (r = -0.439; p<0.001), and significantly positively correlated with slope (r = 0.265; p<0.001) and sand content (r = 0.410; p<0.001). The selected regression model (C = -0.031 - 0.074X1 + 0.015X2 - 0.001X4 + 0.110X6) showed land cover/X1 had the strongest influence (? = -0.074, p<0.0001), followed by slope class/X2 (? = 0.015, p<0.0001), bulk density/X4 (? = 0.110, p<0.001), and silt content/X6 (? = -0.001, p<0.036). The model performed well with a validation R² of 46.3% and a Root Mean Square Error (RMSE) of 0.0331. This research presents a practical model for estimating runoff coefficients, supporting soil and water conservation planning in mountainous areas.
Co-Authors Agus Dwi Sulistyono, Agus Dwi Agus Suharyanto Ani Budi Astuti Atiek Iriani, Atiek Cahya, Utik Tri Wulan Elfrida Ratnawati Eni Sumarminingsih Kalangi, Olyvia Maria Rahma Fitriani Rotchildi, Gusti Ayu Putu Rawi Sa'diyah, Nur Kamilah Wani Hadi Utomo