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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 Journal of Degraded and Mining Lands Management 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 Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Makara Journal of Technology J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Jalan Jembatan
Soewignjo Agus Nugroho
Universitas Riau
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology 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 : Makara Journal of Technology

 1 
Behavior of High-plasticity Clay Stabilized with Lime and Rice Husk Ash Fatnanta, Ferry; Nugroho, Soewignjo Agus; Ongko, Andarsin; Ihsan, Adnan Ruziq
Makara Journal of Technology Vol. 25, No. 3
Publisher : UI Scholars Hub

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Abstract

Soil is an important and fundamental element for building and road construction. However, poor properties of soil can affect the entire construction since the soil will resist the loads transferred from the upper structures. Additives such as cement, lime, and rice husk ash (RHA) can be used as stabilization materials to increase soil strength. This study examined the behavior of stabilized plastic clay mixed with cement, lime, and RHA. The clay stabilization success rate can be measured by the California Bearing Ratio (CBR), unconfined compression strength, and swelling potential. In this study, different mixtures were prepared as samples and tested under various loads: 1, 2, 3, 4, and 5 kPa. The results indicated that the addition of cement, lime, and RHA could effectively reduce the swelling potential of clay. The mixture variations of soil–cement composite 90% + RHA 10% and soil–cement composite 90% + lime 4% + RHA 6% showed the lowest swelling rate.
Mechanical Behavior of Clay Soil Stabilized with Fly Ash and Bottom Ash Nugroho, Soewignjo Agus; Zulnasari, Azra; Fatnanta, Ferry; Putra, Andius Dasa
Makara Journal of Technology Vol. 26, No. 1
Publisher : UI Scholars Hub

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Abstract

Soil is one of the most important aspects of an infrastructure given its functions of receiving and holding structural loads. However, not all soils have good physical and mechanical properties. To overcome those conditions, stabilization of the soil is practiced to meet the technical requirements. This study aims to determine the behavior of high plasticity clay stabilized with lime, fly ash, and bottom ash. These additives can be used as a stabilizing agent to increase soil strength. The percentage of additives varied from 5%–25% then mixed with clay and were tested through the (Unconfined Compression Strength (UCS) test. The UCS test was carried out with 6 treatments, including consecutively non-curing and unsoaked, non-curing and soaked, curing for 7 days and unsoaked, cured for 7 days and soaked, cured for 28 days and unsoaked, and cured for 28 days and soaked. Results show that the UCS value increased along with the span of curing time. Meanwhile, the soaking treatment of the sample decreased the UCS value.
Permeability Prediction for Expansive Soil Based on Physical Properties Using Artificial Neural Networks Fatnanta, Ferry; Suprayogi, Imam; Ranata, Nicola Rabb; Nugroho, Soewignjo Agus; Putra, Agus Ika
Makara Journal of Technology Vol. 27, No. 2
Publisher : UI Scholars Hub

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Abstract

Permeability is a soil parameter related to the construction industry to understand the processes of infiltration, runoff, and settlement. The risk of testing errors is inevitable in permeability investigations, especially in expansive soils. Trial and error in permeability testing becomes difficult due to soils with small pore sizes and large shrinkage expansion. Several studies related to soil physical properties that affect permeability have been conducted. However, the correlation results obtained still have poor accuracy. Artificial neural networks (ANN) are machine learning systems that can change their structure to solve problems that are included in the system. The use of ANNs in data learning is applied to help the established model predict future output values with a small error value. This research aims to study the correlation between the physical properties of expansive soil that affect its permeability using ANN correlation and then produce correlation equations for future inputs. The research was conducted with input data in the form of soil liquid limit, soil plasticity index (IP), %fine grains, and soil permeability as output data. Results demonstrated a good correlation between soil physical properties and permeability, revealing high accuracy in the output regression equation.
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 Ermiyati Ermiyati, Ermiyati Fadhilah, Randy Fajar Restuhadi Fakhri, Fakhri Fauzi, Manyuk 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 Koichi Yamamoto, Koichi Lala Monang Robert Christian Zega Lala Monang Robert Christian Zega Zega Lembasi, Muhammad Khadafi Lingga Panji Subrata, Lingga Panji Lita Darmayanti 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 Muliyono Novan, Andre Nurdin Nurdin Ongko, Andarsin Prayogo, Giri Puspa Ningrum Raflyatullah Raflyatullah Raflyatullah, Raflyatullah Ranata, Nicola Rabb Randhi Saily Reni Suryanita Rian Trikomara Iriana Rinaldi Rinaldi 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 Sutikno, Sigit Syamsu Herman Syamsu Herman Syamsul Arifin Unzi Marwan Usman, Fauzan Wulandari, Deny Yohanna Lilis H Zega, Christian Robert Zoni Satria Zulkifli Zulkifli Zulnasari, Azra