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Fauzi, Manyuk
Universitas Riau
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Journal : Journal of Applied Materials and Technology

 1 
Added values of the local timbers materials for main bridge frame structures utilizing laminating composites technology Ari Sandhyavitri; Fakhri Fakhri; Rizki Ramadhan Husaini; Indra Kuswoyo; Manyuk Fauzi
Journal of Applied Materials and Technology Vol. 2 No. 1 (2020): September 2020
Publisher : AMTS and Faculty of Engineering - Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/Jamt.2.1.50-58

Abstract

The objectives of this article are to seek the opportunity to enhance the local Indonesia timber material physical performances (encompassing the low-class quality of III and IV timbers with the Modulus of Elasticity (MOE) = 5,000 - 9,000 MPa) utilizing laminated composite technology to become higher-class timber quality (class II) with the Modulus of Elasticity (MOE)> 15,000 MPa so that it can be used as an alternative material for constructing the bridge mainframe structures (girder beams) especially for the Indragiri Hilir regency, Riau Province, Indonesia. This regency needs several hundred small-medium bridges for connecting 20 districts, 39 wards, and 197 villages using local materials such as local timbers. This laminating technology is not a new technology but the utilization of this technology for constructing the main bridges structures is challenging and limited to the implementation in the civil construction industrial sector. This study composed 2 types of the low-class quality (lcq) of timber materials (such as Shorea sp and Shorea peltata Sym) and 2 types of medium class-quality (mcq) ones (Dipterocarpus and Calophyllum) for constructing the main bridge structures. Based on the laboratory test results utilizing 80% of lcq materials and 20% mcq ones, these composite timber materials may increase the timbers MOE by 145% to 166% from the existing MOE value of the mcq solid timbers. Based on the simulations these laminated composites wooden bridge girders 2 x (70x20) m2, these timber materials have passed all the tests and the application of this technology may improve the lcq timber values and it could be used for an alternative material of the bridge girder's main structures.
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.
Co-Authors Aisah kurnia utami Alfian Alfian Alfian Alfian Alfianis Alfianis Aminaton Marto Aminuyati Andy Hendri, MT, Andy Anggraini Lenry Rahman Annisa Destiany Aqilla Aqilla Aqilla, Aqilla Aras Mulyadi Arbaini Ardi Wahyudi Ardiminsyah Ardiminsyah Ari Sandhyavitri Ari Sandhyavitri Ary Sandhyavitri Asda Usradinda Astari, Kemala Fitri Aswal Fitra Yadi Bambang Siswanto Bambang Sudjatmoko Bambang Sujatmoko Binhar, Mathrab Bochari - Bunga Rabby Zalfi Bunga Rafikah Zaki Cahyono, Sandi Citra Perdana Cuprtino Tamba Darmawan, Igeny Dwiana Deddy Prasetyo Utomo Dehas Abdaa Dent Siloana Dickky Yusman Dwi Puspo Handoyo Dwi Puspo Handoyo, Dwi Puspo Edwar AR Effendi Sianipar Ega Riana Tovani Eki Efrizal, Eki Ela Fitriana Ela Fitriana Elsa Rina S Ermiyati Ermiyati Ermiyati Ermiyati Ermiyati, Ermiyati Erza Ismi Lariza Fachrunnisa Fakhri Fakhri Fakhri, Fakhri Fardian, Herry Farizki Afdalindra Ihsan Fatiha Nadia Fatiha Nadia, Fatiha Fauzan Mahdinal Ferry Fatnanta Fitri Landari Fitri Yuniar Handayani Ghiffa Syauqiyya Harahap Habrio Ilva YR Hafid Muhaimin Hasward Harahap, Ghiffa Syauqiyya Hardiman Hardiman Haryo Dipa Hasward, Hafid Muhaimin Hendra Muchlis Hendra Muchlis Herry Fardian Husaini, Rizki Ramadhan Husnah Husnah Imam Suprayogi Indra Kuswoyo Insan Ikhsan Isnandi, Ari Jusatria Keisuke Murakami Khairul Rizal Kiky Yahdita Lita Darmayanti Lovina, Fitri Luluk Masfufa M Ramadani M. Rizki E. Janrosl Maijoni, Tri Mailino, Vemby Malik Habibillah Mardan Fajri Mardani Sebayang Marganda Simamora Mariani Damanik Marisya Wahyuna Marta Yudha Ozman Mashuri Mathrab Binhar Matrab Binhar Mega Putri Komalasari Mifta Khairiah Mintio, Reygi Raica Mohd Syarwan Mualifudin, Achmad Muhammad Ikhsan Muhammad Shalahuddin Muhammad Wildan Pahlevi Muhammad Yusa Muhardi Nafisah Nafisah Nahar Afrizal Nessa Riana Putri, Nessa Riana Niko Erdi Putra Novan, Andre Nurdin Nurdin Nurdin Nurdin Nurhasanah Junia Nurhasanah Nurhasanah Raeni Evanta Br. Tarigan Rafit Mahendra Rahayu, Indah Tri Rahman Wahidin Miatullah Ramadhani Harahap Randhi Saily Rellyadi Saputra Laset Resty Agesti Handayani Resty Agesti Handayani Revi Lasmita Rianty Sihaloho Riau Satrya Alamsyah Ricca, Randi Rangkuti Putra Rico Ardiansyah Amri Rifardi Rinaldi Rinaldi Rinaldi Rinaldi Ririn Rindayani Rizal, Khairul Rizki Rianda Putra Rizky Eka Putra Rizky Eka Putra, Rizky Eka Rosmiati Ahmad Rumambi, Ridho S Siswanto S.Pd. M Kes I Ketut Sudiana . Sadewa Sabihi Safari Tri Septanto Salvi Novita Sandi Cahyono Sharie, Barcha Yolandha Sigit Sitikno, Sigit SIGIT SUTOKNO Siswanto - Siswanto, Siswanto Soewignjo Agus Nugroho Sovia Revina Sudarmanto Sudarmanto Sudjatmoko, Bambang Suprasman Suprasman Sutikno, Sigit SUTOKNO, SIGIT Swary Aristi Syarifah Sophia Vinka Zafani Tampubolon, Hotmauli Thessalonika Thessalonika Thessalonika, Thessalonika Tiurma Monalisa Siahaan Tri Maijoni Trimaijon Trimaijon Trimaijon, Trimaijon Verawati Wahyuna, Marisya Wibowo Suarno Putra Widya Safitri Wiliya, Wiliya Yenita Morena Yohanna Lilis H Yulasni Astri Yuli Hendra Yundari, Yundari Zaky Ilhami Zulkarnain Zulkarnain Zulkarnain Zulkarnain ZULKIFLI ZULKIFLI