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All Journal Journal of Applied Materials and Technology SAINSTEK
Darmawan, Igeny Dwiana
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

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A comparative study of data-driven models for discharge forecasting: a study case of Siak river, Pekanbaru water gauge station Fauzi, Manyuk; Sujatmoko, Bambang; Darmawan, Igeny Dwiana; Siswanto, Siswanto; Ermiyati, Ermiyati; Misriani, Merley
Journal of Applied Materials and Technology Vol. 6 No. 2 (2025): March 2025
Publisher : Faculty of Engineering Universitas Riau and Applied Materials and Technology Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/Jamt.6.2.47-57

Abstract

The availability of long-term river discharge data covering at least 30 years is needed for proper hydrological studies, so the ability to predict river discharge is a matter of concern in the field of civil engineering. The Siak River in Pekanbaru City experiences overflowing water during the rainy season. One of the steps to prevent flooding on the Siak River is to utilize river discharge information, data-driven models utilize historical data to train or derive useful insights for predicting outputs, some data-driven models that are suitable for generating monthly historical data into new data include the Autoregressive Integrated Moving Average (ARIMA) method and the Thomas-Fiering method. The research begins by conducting the Rescaled Adjusted Partial Sums (RAPS) test to test the homogeneity of the data, then the prediction of discharge data with several schemes using the ARIMA and Thomas-Fiering methods, then the performance comparison between the two models is carried out using MAPE, RMSE, Nash-Sutcliffe, and correlation coefficient r. From the research results, it was found that the Thomas-Fiering method tends to be more accurate for predicting 1-year monthly discharge as well as long-term discharge, namely periods of 3, 5, and 7 years, with the best prediction being 1-year discharge prediction using 5 years of observed discharge with MAPE, RMSE, Nash-Sutcliffe, and correlation coefficient r values of 7.42%, 26.76 m3s-1, 0.92, and 0.96, respectively. This study could be a valuable reference for future studies in selection and further modification of data driven discharge simulation models.
Pemanfaatan Struktur Space Frame pada Rangka Atap Gedung Kurniawandy, Alex; Syafikri, Muhammad Afdal; Darmawan, Igeny Dwiana
SAINSTEK Vol. 11 No. 2 (2023)
Publisher : Sekolah Tinggi Teknologi Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35583/js.v11i2.214

Abstract

Gedung yang berfungsi sebagai sarana gedung pertemuan dan arena olaraga pada umumnya mempunya bentangan rangka atap yang besar. Pada bentang atap dengan ukuran 34 m x 39 m sebagai studi kasus yang ditinjau dibutuhkan sistem struktur bentang lebar yang cocok untuk diterapkan. Oleh karena itu, teknologi struktural seperti space frame atau struktur baja yang kuat sering digunakan untuk mencapai bentang lebar yang diinginkan dalam bangunan tersebut. Tujuan dari penelitian ini adalah untuk melakukan perancangan dimensi batang-batang space frame yang cocok untuk digunakan dan melihat kemampuan struktur space frame tersebut mampu menahan beban dengan kombinasi pembebanan. Perhitungan struktur space frame mengacu pada peraturan LRFD dengan SNI 1729: 2020, peraturan gempa menggunakan SNI 1726: 2019, dan pembebanan menggunakan SNI 1727: 2020. Optimasi perancangan dilakukan dengan mengecilkan dimensi batang pipa dari keadaan perancangan awal. Hasil optimasi didapatkan diameter 2,5 inci dapat dijadikan 2 inci; diameter 3 inci menjadi 2,5 inci; diameter 4 inci menjadi 3 inci; dan diameter 6 inci menjadi 5 inci. Hasil analisis menunjukan bahwa semua diameter yang dirancang telah memenuhi syarat kekuatan batang tarik dan/atau batang tekan terhadap gaya dalam atau beban ultimate yang terjadi pada struktur space frame.
Co-Authors Alex Kurniawandy Bambang Sujatmoko Ermiyati Ermiyati, Ermiyati Fauzi, Manyuk S Siswanto Syafikri, Muhammad Afdal