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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 : Jurnal Informatika

 1 
Prediction of standard penetration test value on cohesive soil using artificial neural networks Soewignjo Agus Nugroho; Hendra Fernando; Reni Suryanita
Jurnal Informatika Vol 15, No 2 (2021): May 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jifo.v15i2.a19822

Abstract

Soil investigation is the main key in starting construction. Standard Penetration Test (SPT) and Cone Penetration Test (CPT) are field tests often used to estimate soil parameters for foundation design purposes. The SPT value (N-SPT) shows a correlation between the CPT value and other soil parameters. At present, there have been many conventional correlations examining these correlations, but the nonlinear nature of the soil due to very complex soil formations means that this correlation cannot be used in all situations. This research aimed to predict the value of SPT on cohesive soil based on CPT test data and soil physical properties using artificial neural network capabilities using the Backpropagation algorithm, and the activation function was bipolar sigmoid. This study used 284 data from several places in Sumatra Island, Indonesia, with data input were tip resistance, shaft resistance, effective overburden pressure, percentage of liquid limit, plastic limit, sand, silt, and clay. The results showed that the training data of RMSE was 3.441, MAE and R2 were 0.9451 and 2.318, respectively while test data showed RMSE, MAE, R2 were 2.785, 2.085, and 0.9792, respectively. It means that the proposed artificial neural network NN_Nspt(C) was promising to predict the N-SPT value with a minimum error value and a strong 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 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