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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal Sains dan Teknologi Jurnal Informatika Jurnal Teknik Sipil dan Perencanaan APTEK Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Rekayasa Sipil Proceedings ACES (Annual Civil Engineering Seminar) Fondasi: Jurnal Teknik Sipil Jurnal Teknik Sipil Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Journal of Geoscience, Engineering, Environment, and Technology Teras Jurnal International Journal of Artificial Intelligence Research Journal of the Civil Engineering Forum SIKLUS: Jurnal Teknik Sipil Jurnal Rekayasa Sipil Astonjadro Jurnal Infrastruktur Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Pelita Masyarakat IGKOJEI: Jurnal Pengabdian Masyarakat Civil Engineering Collaboration Makara Journal of Technology J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Jalan Jembatan
Soewignjo Agus Nugroho
Universitas Riau
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Transportation Veterinary

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Journal : Journal of Geoscience, Engineering, Environment, and Technology

 1 
Water and Reinforced Effects on Slope: Case Study on District Koto Panjang, Riau, Indonesia Nugroho, Soewignjo Agus; Yusa, Muhamad; Sujatmoko, Bambang; Ongko, Andarsin
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 2 (2024): JGEET Vol 09 No 02 : June (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.2.12604

Abstract

This paper discussed a study case related to slope stability and its analysis. The observation and also research object was a hill side on border area between West Sumatera-Riau, Indonesia. This border area consists of numerous slopes with heterogeneous soil characteristics. This location is also susceptible for having landslides, especially on rainy season. The schemes of this research consisted of collecting samples, laboratory tests, finite element method analysis, and slope`s reinforcement planning with anchors or geosynthetic plates. The soil samples were tested on their actual condition and liquid limit condition. This purposed to predict the failures on slope. Afterwards, some reinforcement plannings need to be done. The results of this researach have shown that on existing condition, the safety factor was 1.262. If the soil reach its liquid limit, the safety factor decreased to 0.568. After the reinforcement planning was done, the safety factor went up to 1.120 and the slope stability could be maintained.
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.
Co-Authors ', Muhardi Aditia Siringoringo Adnan Ruziq Ihsan Agus Ika Putra Agus Ika Putra Al Ridho, Muhammad Faisal Alridho, Muhammad Faizal Andarsin Ongko Andius Dasa Putra Ari S. Sibarani Ari S. Sibarani Ari Sandhyavitri Ari Sandhyavitri Arie S Sibarani Arie S Sibarani Arisman Adnan Avrilly Zesthree Mauliza Azra Zulnasari Bahrul Junaidi Bambang Sujatmoko Enno Yuniarto Erik Azarya Ginting Ermiyati Fadhilah, Randy Fajar Restuhadi Fakhri, Fakhri Febrizal Ujang Fernando, Hendra Ferry Fatnanta Fikri Hidayat Giri Prayoga Gunawan Wibisono Gunawan Wibisono Gussyafri Hendra Fernando Ihsan, Adnan Ruziq Imam Suprayogi Inna Kurniati Inna Kurniati, Inna Irfan Hasan Jamili, M Joehari K Khairat Khairat, K Khairatu Zaro Khairul Umam Kikumoto, Mamoru Lala Monang Robert Christian Zega Lala Monang Robert Christian Zega Zega Lembasi, Muhammad Khadafi Lingga Panji Subrata, Lingga Panji M Faizal Alridho M. Shoffar Al Hafizh M. Yusuf Agustamar Mohammad Saeri Monita Olivia Muhamad Yusa Muhammad Khadafi Lembasi Muhammad Muhshi Muhammad Saeri, Muhammad Muhammad Yusa Muhardi Muhardi Muhardi Novan, Andre Nurdin Nurdin Ongko, Andarsin Prayogo, Giri Puspa Ningrum Raflyatullah Raflyatullah Raflyatullah, Raflyatullah Ranata, Nicola Rabb Randhi Saily Reni Suryanita Rian Trikomara Iriana Rofika Ratna Ardiansyah Roni Indra Lesmana Rosma, Iswadi Hasyim Rudy Suryadi, Rudy Rugun Ermina S. Siswanto S. Siswanto Safridatul Audah Saputra, Riola Satibi, Syawal Satria, Zoni Sayoga, Davin Syamsu Herman Syamsu Herman Syamsul Arifin Unzi Marwan Usman, Fauzan Wulandari, Deny Zega, Christian Robert Zoni Satria Zulnasari, Azra