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All Journal Jurnal Sains dan Teknologi Jurnal Teknik Sipil dan Perencanaan Jurnal Teknik Sipil Jurnal Transportasi Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Journal of Degraded and Mining Lands Management Jurnal Teknik SIKLUS: Jurnal Teknik Sipil Jurnal Sinergitas PkM & CSR Jurnal Infrastruktur KAIBON ABHINAYA : JURNAL PENGABDIAN MASYARAKAT Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Unri Conference Series: Community Engagement Matriks Teknik Sipil Makara Journal of Technology SAINSTEK J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Teknologi & Rekayasa Sipil Sewagati Jurnal Bangunan: Konstruksi & Desain BATOBO: Jurnal Pengabdian Kepada Masyarakat Jurnal Jalan Jembatan Journal of Infrastructure and Construction Technology
Agus Ika Putra
Universitas Riau
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation Other

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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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Stabilisasi Tanah Gambut Dengan Geopolimer Hibrid Abu Terbang Dan Pasir Wibisono, Gunawan; Azizi, Wildan; Putra, Agus Ika; Satibi, Syawal; Olivia, Monita
Jurnal Bangunan, Konstruksi & Desain Vol 3 No 4 (2025): Desember 2025
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jbkd.3.4.182-194.2025

Abstract

Peat soil has high water content and compression, and low bearing capacity. Peat soil stabilization is carried out to increase the bearing capacity, increase the density and strength of the soil. Geopolymer material is one of the materials for soil stabilization derived from basic materials activated with activator solutions such as sodium hydroxide and sodium silicate. This study aims to examine the unconfined compressive strength, average water content, and dry density of peat soil stabilized with a hybrid geopolymer mixture of fly ash and sand. The parameters studied were NaOH molarity of 10M, 12M, and 14M, and silicate modulus (Na2SiO3/NaOH ratio) of 1.5; 2.0; and 2.5. The results of the study showed that the highest unconfined compressive strength was obtained for a mixture with a silicate modulus of 2.5 (GP-12M-Ms2.5), which was 23.68 kPa at 28 days. Unconfined Compressive Strength (UCS) testing was conducted after the samples were cured for 7, 28, and 56 days. The unconfined compressive strength of the GP-14M-Ms2 mixture with a molarity of 14M was 23.68 kPa at 28 days. This is due to the geopolymerization reaction that releases OH- ions to dissolve silica and alumina in fly ash, and the silicate modulus (Ms) can increase the pH of the geopolymerization and bind soil particles better. The highest dry soil content was produced by the GP-12M-Ms2.5 mixture for 7, 28, and 56 days. Sand used in peat soil stabilization can help increase density because it can fill soil cavities.
Predictive model for California Bearing Ratio (CBR) in expansive coastal subgrades: a rapid geotechnical assessment for degraded and marginal lowland areas Nugroho, Soewignjo Agus; Satibi, Syawal; Putra, Agus Ika; Zulkifli, Zulkifli; Sutikno, Sigit; Yusa, Muhamad; Rinaldi, Rinaldi; Yamamoto, Koichi
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9329

Abstract

In geotechnical engineering, professional actions and expert judgment are often essential in soil investigation methods. In lowland and coastal areas, expansive, fine-grained soils and sandy sedimentation lead to reduced bearing capacity, posing significant challenges for sustainable infrastructure development on marginal and degraded lands. Such conditions are prevalent in post-mining or naturally poor coastal environments, necessitating cost-effective and rapid assessment tools. This study modeled a clayey sand mixture using bentonite and kaolin as fine fractions, which exhibit expansive behavior and poor gradation, simulating worst-case geotechnically degraded subgrades. The mechanical behavior of the soil was evaluated through modified compaction, using the CBR test and CPT test as bearing capacity parameters. Soil mixtures were simulated with sand fractions ?65% and bentonite-kaolin compositions with ?50% bentonite. Compaction was modeled using variations in energy compaction and water content under conditions below the maximum dry density. CBR prediction was conducted using Qc as the primary predictor and dry density as a supporting predictor. A hybrid stepwise regression analysis in the         Z-score scale identified positively correlated predictors: +3.00 (Qc), +0.55 (?dry), and +1.28 (Qc ?dry interaction). The regression model showed strong statistical performance with R² = 0.84 and high significance with the lowest p-values. The resulting regression equation offers an applicable approach to rapidly evaluate the bearing capacity of subgrade soils in degraded coastal or marginal conditions, thereby facilitating geotechnical engineering design and initial site assessment crucial for land management and rehabilitation actions.
PENERAPAN AERATOR JENIS KINCIR UNTUK KEBERLANJUTAN SUPLAI OKSIGEN TERLARUT PADA PERTANIAN TAMBAK UDANG [PENERAPAN AERATOR JENIS KINCIR UNTUK KEBERLANJUTAN SUPLAI OKSIGEN TERLARUT PADA PERTANIAN TAMBAK UDANG [IMPLEMENTATION OF TURBINE TYPE AERATOR FOR SUSTAINABLE SUPPLY OF DISSOLVED OXYGEN FOR SHRIMP FARMING] Iswadi Hasyim Rosma; Azriyenni Azhari Zakri; Abdul Gafar Arsaf; Feblil Huda; Agus Ika Putra
Jurnal Sinergitas PKM & CSR Vol. 5 No. 1 (2020): October
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jspc.v5i1.1759

Abstract

An aerator is a device that utilized to produce dissolved oxygen in water through a diffusion process. Generally, the aerators employed by farmers are operated manually by an operator. The design and utilization of a smart device such as the Zelio Smart Relay is one of the objectives of this article. With the use of smart relays, it is expected that the presence of operator can be eliminated and able to reduce operational cost. The type of aerator discussed in this article is a dual turbine aerator. Each turbine has 6 blades. In order to have the smart relay to operate properly, at least 2 (two) sensors are needed as inputs, namely the light intensity and the temperature sensor. Furthermore, dissolved oxygen levels in water are categorized as high (30 mg / L) if the light intensity is higher than 100,000 lux and the temperature lower than 350 C. It shows in the results that the implementation of aerator has the capabilty to increase dissolved oxygen from 8 mg / L - 14.4 mg / L in 45 minutes, therefore the quantity and the quality of dissolved oxygen required by shrimp farming can be fulfilled properly.BAHASA INDONESIA ABSTRACT: Aerator adalah salah satu alat bantu yang berfungsi untuk memproduksi oksigen terlarut dalam air melalui proses difusi. Sampai saat ini, aerator yang dimanfaatkan oleh para petani pada umumnya masih bersifat manual dengan cara dioperasikan dan dikendalikan oleh tanaga operator (manusia). Perancangan dan pemanfaatan teknologi cerdas seperti Zelio Smart Relay merupakan salah satu bahasan pada artikel ini. Dengan adanya pemanfaatan smart relay tersebut diharapkan pekerjaan operator pada pertanian tambak udang dapat dipermudah dan mampu menekan biaya operasional. Jenis aerator yang dibahas pada artikel ini adalah aerator turbine ganda yang memiliki 6 buah sudu di tiap tiap kincirnya. Agar sistem kendali yang dirancang pada smart relay beroperasi dengan baik, maka diperlukan sedikitnya 2 (dua) buah sensor yaitu sensor intensitas cahaya dan sensor suhu yang terukur pada kolam (air). Selanjutnya kadar oksigen terlarut dalam air dikategorikan tinggi (30 mg/L) apabila intensitas cahaya > 100.000 lux dan untuk suhu < 350 C. Dari hasil penerapan aerator di kolam dapat diketahui bahwa aerator dengan penambahan Zelio Smart Relay ini dapat bekerja sesuai dengan perancangan, yaitu dapat meningkatkan oksigen terlarut dari 8 mg/L - 14.4 mg/L dalam 45 menit, dengan demikian kuantitas oksigen terlarut yang dibutuhkan oleh pertanian udang dapat dipenuhi dengan baik. 
Program Evaluasi Penghematan Konsumsi Energi Listrik pada Gedung Tiga Lantai di Politeknik Pelayaran Sumatera Barat Iswadi Hasyim Rosma; Hidayatul Catra Burhan; Feranita Abdul jalil; Feblil Huda; Agus Ika Putra; Ahmad Jamaan
BATOBO: Jurnal Pengabdian Kepada Masyarakat Vol 1 No 2: BATOBO: Desember 2023
Publisher : Jurusan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/batobo.1.2.56-63

Abstract

Artikel ini bertujuan untuk menggambarkan kegiatan pengabdian kepada masyarakat yang dilakukan oleh tim pelaksana pengabdian Universitas Riau. Lokasi kegitan pengabdian ini bertempat di Gedung Politeknik Pelayaran Sumatera Barat (Poltekpel Sumbar). Adapun kegiatan yang dilaksanakan bertujuan untuk melakukan evaluasi penghematan konsumsi energi listrik pada bangunan tiga lantai di Politeknik tersebut. Secara umum, tahapa pengabdian ini terdiri atas survei awal dan survei lapangan, melakukan pengukuran system penerangan, menganalisis konsumsi energi system penerangan Gedung, dan membuat rekomendasi potensi penghematan konsumsi energi system penerangan. Program pengabdian ini telah dapat terlaksana dengan baik dimana pihak poltekpel sumatera barat teralibat aktif saat survei dan penyediaan data. Dari hasil survei dan evaluasi yang telah dilakukan dapat diketahui bahwa kuat pencahayaan penerangan saaat digunakan pada malam hari masih dibawah ketentuan yang disyaratkan. Potensi penghematan konsumsi energi listrik yang dapat diterapkan adalah metode pendekatan efisiensi energi yaitu dengan cara penggantian lampu TL dengan lampu LED. Penghematan energi listrik yang didapat mampu mencapai 2.393,1 kWh/bulan.
PENGARUH PASIR, ABU TERBANG, DAN AIR PADA KARAKTERISTIK MEKANIS TANAH LEMPUNG Soewignjo Agus Nugroho; Ferry Fatnanta; Syawal Satibi; Muhamad Yusa; Agus Ika Putra; Gunawan Wibisono
Matriks Teknik Sipil Vol 13, No 1 (2025): Juni
Publisher : Program Studi Teknik Sipil FT UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/mateksi.v13i1.101745

Abstract

The shear strength and bearing capacity of soil are influenced by its type, mineral composition, and particle size. Both cohesion and the friction angle play significant roles in determining soil strength, while density is crucial for supporting forces. This study examines the effects of grain size, soil minerals, and water content on the shear strength and bearing capacity of soil. Various tests such as California Bearing Ratio, Direct Shear, and Unconfined Compression Test are conducted on sand and clay, compacted with different numbers of strikes and water contents. The study also explores the impact of organic soil and fly ash on shear strength. Additionally, immersion tests are performed to assess how water absorption affects the soil’s properties. Results show that compression at the optimum moisture content (OMC) produces the highest strength, while compression at higher moisture levels results in greater strength loss compared to drier conditions. At a constant water content, increased soil density leads to higher bearing capacity. Conversely, excess water content reduces the soil's strength. The presence of clay, fly ash, and organic material increases water absorption capacity. In sandy soils, the distribution of grain size significantly influences shear behavior. The addition of clay enhances both the friction angle and soil cohesion, while higher fly ash content tends to reduce the friction angle and improve soil cohesion. Interestingly, cohesion appears to be unaffected by the sand's gradation.  Keywords: bearing capacity, clay, fly ash, shear strength, sand.
Co-Authors Abdul Gafar Arsaf Agus Nugroho, Soewignjo Ahmad Jamaan Ali, Nurhalim Dani Amir Hamzah Annisa Soraya Hasibuan Ari Sandhyavitri Arisman Adnan Azizi, Wildan Azriyenni Azhari Zakri Bahrul Junaidi Cici Amelia Hilman Enno Yuniarto Erik Azarya Ginting Fajar Restuhadi Feblil Huda Febrizal Ujang Feranita Abdul jalil Ferry Fatnanta Fikri Ananda Fitri Herawati Gunawan Wibisono Gunawan Wibisono Hasibuan, Putra S Hidayatul Catra Burhan Hifzil Hanif Imam Suprayogi Irvan Arisma Iskandar Romey Sitompul K Khairat Khairat, K Koichi Yamamoto, Koichi Leo Santosa Leo Santosa, Leo Leo Sentosa Marpaung, Horas Mohammad Saeri Monita Olivia Mufriadi . Mufriadi ., Mufriadi Muhamad Yusa Muhammad Muhshi Muhammad Muhshi muhshin Muhammad Saeri, Muhammad Muhardi Oki Chandra Ongko, Andarsin Putra Hasibuan Rafiki Aziz Ranata, Nicola Rabb Ridho Ilahi Rinaldi Rinaldi Rosma, Iswadi Hasyim Rugun Ermina S A Nugroho S. Siswanto S. Siswanto Satibi, Syawal Soewignjo Agus Nugroho Soewignjo Agus Nugroho Sri Djuniati Sutikno, Sigit Suwitno Suwitno, Suwitno Syamsu Herman Syamsu Herman T. Gina Vinola Zega, Christian Robert Zulkifli Zulkifli