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Imam Suprayogi
Jurusan Teknik Sipil Fakultas Teknik Universitas Riau
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Journal : Journal of Geoscience, Engineering, Environment, and Technology

 1 
Model for Optimizing Land Use to Support Sustainable Environmental Economic Strengthening in the Upper Kampar River Basin Nurdin; Suprayogi, Imam; Ermiyati; Audah, Syafridatul; Zaim, Zaflis
Journal of Geoscience, Engineering, Environment, and Technology Vol. 8 No. 2 (2023): JGEET Vol 08 No 02 : June (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2023.8.2.12906

Abstract

Simple and complex agroforestry systems can be implemented simultaneously in the cultivation area within the Upper Kampar River Basin. Based on the ArcSWAT simulation results, the surface runoff (Qsurf) was estimated to be 37.20 mm, which is significantly lower than the existing land use runoff in 2014, which was 102.12 mm. This forms the basis for implementing simple agroforestry and complex agroforestry systems in the Upper Kampar River Basin. The plant species that can support these agroforestry systems are selected based on the principles of land conservation and the suitability of local plants in the Upper Kampar Watershed environment. Four types of filler plants are considered: coffee and cocoa for the simple agroforestry system, and gambier and ambon bananas/kepok bananas for the complex agroforestry system. These plant species are the most dominant filler plants in the Upper Kampar Watershed. To optimize the land with these filler plant species, analysis is conducted using Quantitative Methods (QM) for Windows 4 software based on objective functions and constraint functions. The analysis determines that coffee is suitable for the simple agroforestry system, while gambier is suitable for the complex agroforestry system. Before land optimization with the planting of coffee, cocoa, gambier, and ambon bananas/kepok bananas, the net profit is estimated to be IDR. 359,113,963,811.06. After optimizing the land and developing it with the suitable filler plant species, only coffee and gambier are planted, while cocoa and ambon bananas/kepok bananas are planted according to the available area. As a result, the net profit increases to IDR. 951,426,300,000, with an economic value increase of IDR. 592,312,336,188.94 per year.
Sensitivity Analysis Based on Physical Properties to Permeability Coefficient of Cohesive Soil Using Artificial Neural Network Fatnanta, Ferry; Suprayogi, Imam; Nugroho, Soewignjo Agus; Satibi, Syawal; Saputra, Riola
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 1 (2024): JGEET Vol 09 No 01 : March (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.1.13536

Abstract

Permeability is the ability of a soil to allow liquids to pass through. Of course the soil has a physical characteristic that can be known by laboratory testing. This study aims to determine the physical properties that most affect the coefficient of cohesive soil permeability using the Artificial Neural Network (ANN) tool, the results obtained will later be matched with actual conditions according to the context of engineering geology. The research method begins with an influence or sensitivity analysis using ANN which will produce a correlation coefficient (R). Then, these results will be compared with the influence analysis based on the value of the coefficient of determination (R2). After that, accuracy and error tests will be carried out using the Mean Absolute Percentage Error (MAPE), the highest accuracy values is categorized as the most influential physical property of the 7 physical property parameters, namely liquid limit, plastic limit, plasticity index, %sand, %fines, %silt, and %clay. Based on the result of the analysis, %fines is the parameter that most influences permeability and is able to make very strong predictions with an R value using an ANN of 0.9941875, an R2 value of 0.6336, an accuracy of 99.6962%, and a MAPE of 0.3038%. These results are compared with the existing empirical equations with an accuracy of 96.4393% and MAPE of 3.5607%. It can be concluded that ANN is more effective and optimal in making predictions. In this case, in the context of engineering geology, the more %fines, the smaller the permeability coefficient of the soil.
Mapping the Depth of Groundwater Level and Soil Permeability Based on Geographic Information Systems (GIS) for The Feasibility of Absorption Well Locations in The Application of Ecodrain in Tuah Madani District Joleha; 'Audah, Safridatul; Handayani, Yohanna Lilis; Suprayogi, Imam
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 1 (2024): JGEET Vol 09 No 01 : March (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.1.14036

Abstract

The problem of flooding in Tuah Madani District, Pekanbaru City, needs attention. Drainage and flood control systems need to be made to accommodate excess water and hold water somewhere. Groundwater management is directed at creating a balance between groundwater utilization and soil conservation efforts through the application of ecodrain which affects the conditions and characteristics of the area which provides an overview of land hydrology in parcels by comparing the height of the land with the receiving water bodies. as a drainage outlet. This research aims to create a map of groundwater depth and soil permeability based on Geographic Information Systems (GIS) for the feasibility of infiltration well locations in Tuah Madani District in implementing ecodrain. The research method was carried out by collecting data on the coordinates of infiltration wells at 30 points in five areas of Tuah Madani District. then measure the depth of the groundwater table and test the permeability in the field. Data is processed using ArcGIS. The results of mapping the depth of the groundwater table in the area are classified as shallow (1.28m–3.58m). Only 4 locations (Tuah Karya and West Sidomulyo) out of 30 sample locations did not meet the standards. Meanwhile, the permability value obtained was 2.61–11.07 cm/hour. Technically, the procedure for planning infiltration wells (SNI03-2453-2002) fulfills two conditions, namely a minimum groundwater depth of 1.50 m and soil permeability ≥ 2.0 cm/hour. Based on the contour lines of Tuah Madani District, it displays a pattern of groundwater flow from high flow to low flow at each point of the wellbore, the highest points on the map are colored blue (Air Putih and Sidomulyo Barat), while the lowest points on the map are Air Putih and Sidomulyo Barat. red (Tuah Madani, Luah Karya and Sialangmunggu).
Co-Authors ', Nurdin Achmad Rudi Haryadi AFRIZAL AFRIZAL Agus Ika Putra Alfian Alfian Alfian Alfian Aminuyati Andreas Panjaitan Andrey Arzil Andy Hendri, MT, Andy Andyca Putra As, Andyca Putra Anto Ariyanto Anton Ariyanto Aras Mulyadi Ardi Wahyudi Ardian Ardian Ari Sandhyavitri Arneni, Arneni Aryo Sasmita Ashral, Ashral Asmura, Jacky Astri, Yulasni Aswal Fitra Yadi Audah, Syafridatul Azmi, Nuzulul Bambang Sudjatmoko Bambang Sujatmoko Binhar, Mathrab Bochari Bochari - Budijono, Budijono Burhanudin Burhanudin Cahyono, Sandi Cahyono, Sandi Citra Perdana Cuprtino Tamba Daviq Chairilsyah Deddy Prasetyo Utomo Desyi Astuti Dewi Marni Edi Suhendri Edi Yusuf Adiman Effendi Sianipar Efri Maryoni Ega Riana Tovani Eki Efrizal, Eki Ela Fitriana Ela Fitriana Elianora - Elvi Yenie, Elvi Ermiyati Ermiyati - Ermiyati Ermiyati, Ermiyati Ermiyati, E fadly, Rendy Fahmi, Naufal Muhammad Fajri Rahmatullah fakhri Fakhri Fakhri Fakhri Fakhri Fakhri, F Fakhri, Fakhri Fauzi Febriansyah Fauzi, Manyuk Febrian, Anggi Feranita Feranita Ferdi Wranda Ferry Fatnanta Fitrah Parlindungan Fitria Sari Gandung Rahmadi Geo Gifaj Ruci Adzano Ghofirin, Khoirul Ghofirin, Khoirul Gian Habriandi Tarigan Gufrion Elmart Sitanggang Gunawan Wibisono Gussyafri Habrio Ilva YR Hafidzilhaj Harys Hafiz Catur Anggoro Handrianti, Pipi Hardiman Hardiman Hendro Ekwarso Husnil Fitri Indah Ameliana Beza Isnandi, Ari Ivnaini Andesgur Jacky Asmura Jacky Asmura Jamili, M Joehari Jecky Asmura Joleha, Joleha Jusatria Khairullah, M Khoirul Ghofirin Luluk Masfufa Mahyudin Mahyudin Mailino, Vemby Maryoni, Efri Mathrab Binhar Matrab Binhar Mifta Khairiah Mira Dharma Susilawaty Monita Olivia Mubarak Mubarak Mubarak Mubarak Mubarak Mubarak Mubarak Mubarak Mubarak Muhammad Arif Muhammad Arrafi Irsyad Muhammad Reza Muhammad Rico Saputra Muhammad Shalahuddin Muhammad Yoganda Mukhelnalis Sutazril Nahar Afrizal Nofrizal Nofrizal Novan, Andre Nurdin Nurdin . Nurdin Nurdin Nurdin Nurdin Nurdin, N Nurhasanah Junia Oki Adi Putra Pipi Handrianti Ranata, Nicola Rabb Randhi Saily Resty Agesti Handayani Resty Agesti Handayani Riady, Rony Rahmad Rinaldi Rinaldi Rio Novi Awan Ronald M Hutauruk Ronald Mangasi Hutauruk Rudi Hasmadan Safari Tri Septanto Safridatul Audah Salvi Novita Sandi Cahyono Saputra, Ricko Adi Saputra, Riola Satibi, Syawal Septya Ardiani Septya Ardiani Shalahuddin Siswanto, Siswanto Soewignjo Agus Nugroho Sofyan Husein Siregar Sri Djuniati Sri Djuniati Sudjatmoko, Bambang Suprasman Suprasman Suryafit, Sagit Suwondo Suwondo Syamsul Arifin Syarfi Syarfi Triliani, Ana Aulia Trimaijon Trimaijon Trimaijon, Trimaijon Trisla Warningsih Tsauri, Muhammad Idraq Ibnuts Ucin Muksin, Ucin Verawati Vernando Sahputra Limbong Wawan Yasir Prayuna Yasir Prayuna Yenita Morena Yogi Septian Malik Yohana Lilis Handayani Yohanna Lilis H Yulasni Astri Zaim, Zaflis Zaky Ilhami Zulfan Saam Zulkifli ZULKIFLI ZULKIFLI Zulkifli Zulkifli