Publisher: Universitas Gadjah Mada   (Total: 48 journals)   [Sort by number of followers]

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Agrinova (Agrotechnology Innovation)     Open Access   (Followers: 1)
Agritech     Open Access   (Followers: 1)
ASEAN J. of Chemical Engineering     Open Access  
Bakti Budaya     Open Access  
Berkala Ilmu Perpustakaan dan Informasi     Open Access  
Buletin Peternakan : Bulletin of Animal Science     Open Access   (Followers: 1)
Buletin Psikologi     Open Access  
Gadjah Mada Intl. J. of Business     Open Access   (SJR: 0.127, CiteScore: 0)
Gadjah Mada J. of Professional Psychology     Open Access  
IJEIS (Indonesian J. of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
IKAT : The Indonesian J. of Southeast Asian Studies     Open Access  
Indonesian Food and Nutrition Progress     Open Access  
Indonesian J. of Biotechnology     Open Access   (Followers: 1)
Indonesian J. of Chemistry     Open Access   (Followers: 1, SJR: 0.209, CiteScore: 1)
Indonesian J. of Computing and Cybernetics Systems     Open Access  
Indonesian J. of Geography     Open Access   (Followers: 1, SJR: 0.217, CiteScore: 1)
Indonesian J. of Pharmacy     Open Access  
J. of Applied Geology     Open Access   (Followers: 3)
J. of Indonesian Economy and Business     Open Access   (Followers: 1)
J. of Leadership in Organizations     Open Access   (Followers: 4)
J. of Mechanical Design and Testing     Open Access   (Followers: 4)
J. of the Civil Engineering Forum     Open Access   (Followers: 1)
JKAP (Jurnal Kebijakan dan Administrasi Publik)     Open Access  
Jurnal Filsafat     Open Access  
Jurnal Gizi Klinik Indonesia     Open Access  
Jurnal Humaniora     Open Access   (Followers: 1)
Jurnal Ilmu Kehutanan     Open Access  
Jurnal Kajian Seni     Open Access  
Jurnal Kawistara     Open Access  
Jurnal Ketahanan Nasional     Open Access  
Jurnal Manusia dan Lingkungan     Open Access  
Jurnal Media dan Komunikasi Indonesia     Open Access   (Followers: 4)
Jurnal Mimbar Hukum Fakultas Hukum Universitas Gadjah Mada     Open Access  
Jurnal Nasional Teknik Elektro dan Teknologi Informasi     Open Access  
Jurnal Pariwisata Terapan     Open Access  
Jurnal Perikanan Universitas Gadjah Mada     Open Access  
Jurnal Psikologi     Open Access  
Jurnal Sain Veteriner     Open Access  
Jurnal Teknosains     Open Access  
Majalah Geografi Indonesia     Open Access  
Majalah Kedokteran Gigi Indonesia     Open Access   (Followers: 1)
Poetika : Jurnal Ilmu Sastra     Open Access  
Populasi     Open Access  
Review of Primary Care Practice and Education (Kajian Praktik dan Pendidikan Layanan Primer)     Open Access  
Sasdaya : Gadjah Mada J. of Humanities     Open Access  
Traditional Medicine J.     Open Access  
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Journal of the Civil Engineering Forum
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2089-5631 - ISSN (Online) 2549-5925
Published by Universitas Gadjah Mada Homepage  [48 journals]
  • Methane Emission Estimation and Dispersion Modeling for a Landfill in West
           Java, Indonesia

    • Authors: Soni Pratamayudha Wijaya, Siti Ainun, Didin Agustian Permadi
      Pages: 239 - 252
      Abstract: Methane gas (CH4) is a greenhouse gas that can potentially induce global warming and it is known as surface ozone precursor. CH4 is generally produced from biological process occurred at the landfill which is not equipped with CH4 recovery and treatment system. Note that, very few of landfills in Indonesia have been operated as sanitary landfill but rather most of them act as dumping site. One landfill in West Java Province is Sarimukti Landfill which receives nearly 604,674 ton of solid waste annually. Existing studies have been using the first tier of the Intergovernmental Panel on Climate Change (IPCC) guideline for the emission estimation which provides high uncertainty due to the international default data. In addition, there are uncertainties for the multi years estimation because the kinetic rate of biological processes was not involved in the calculation. To fill in this gap, this research was conducted to use an alternative of methodology for estimating CH4 from landfill using a well known software of the Landfill Gas Emissions Model (LandGEM) which facilitates biological reaction in the calculation. We will also perform calculations using the traditional IPCC method for the Sarimukti landfill as a case study. To quantify the impact of CH4 emission, its dispersion was calculated using the AMS/EPA Regulatory Model (AERMOD). Potential impact on surface ozone formation was assessed using ozone formation potential (OFP) metric. The results of this study indicate that methane gas emissions have increased every year, where the highest emissions occurred in 2025 of 14,810.41 Mg/year (LandGEM) and 11,462.66 Mg/year (IPCC). Likewise, the potential for OFP from methane gas concentrations has increased every year where the highest concentration of surface ozone formation is in 2025 of 183,40 Mg/year. Meanwhile, the methane emission (CH4) has a dispersion pattern which is influenced by meteorological factors around the Sarimukti landfill.
      PubDate: 2021-08-31
      DOI: 10.22146/jcef.62824
      Issue No: Vol. 7, No. 3 (2021)
  • Influence of Pre-Stressing on Tieback Retaining Wall for Sandy Soils

    • Authors: Anthonius Steven Sutanto, Paulus Pramono Rahardjo, Aswin Lim
      Pages: 253 - 266
      Abstract: Pre-stressed ground anchor systems or tieback systems are commonly used at wide and irregular-shaped excavations, with the advantage of lower cost and ease of construction compared to the braced excavations, but they come with the drawback on permits for excavations near buildings and tunnels. Research on tieback systems in sands was generally conducted. However, the studies on the correlation between the retaining wall deflection and pre-stress force are few. The objectives of this paper are to study the influence of pre-stress force, depth of excavation, wall embedment length, and soil shear strength that is represented by soil friction angle on the deflection and soil pressure acting on the retaining wall. The parametric study was conducted on an excavation in sand using the finite element method with the Hardening soil model. The results showed that a 50 kN/m increase in pre-stress force reduced the wall deflection on top of the wall by 0.005–0.083% of excavation depth. However, the pre-stressing influence in reducing wall deflection at excavations became less significant along with the sand density increase due to higher friction angle contribution to excavation stability. Moreover, the pre-stress force needed for stabilization of the wall with long embedment length is smaller than those on the wall with shorter embedment length, since the embedment length increase of 0.25 times of excavation depth reduces wall top deflection by 0.002–0.095% of excavation depth. Also, the increase of soil density reduces the need for wall embedment length, so at dense sand, the embedment length of 0.5 times of excavation depth is sufficient to support the excavation.
      PubDate: 2021-08-31
      DOI: 10.22146/jcef.61564
      Issue No: Vol. 7, No. 3 (2021)
  • Flood Mapping in the Coastal Region of Bangladesh Using Sentinel-1 SAR
           Images: A Case Study of Super Cyclone Amphan

    • Authors: Pollen Chakma, Aysha Akter
      Pages: 267 - 278
      Abstract: Floods are triggered by water overflow into drylands from several sources, including rivers, lakes, oceans, or heavy rainfall. Near real-time (NRT) flood mapping plays an important role in taking strategic measures to reduce flood damage after a flood event. There are many satellite imagery based remote sensing techniques that are widely used to generate flood maps. Synthetic aperture radar (SAR) images have proven to be more effective in flood mapping due to its high spatial resolution and cloud penetration capacity. This case study is focused on the super cyclone, commonly known as Amphan, stemming from the west Bengal-Bangladesh coast across the Sundarbans on 20 May 2020, with a wind speed between 155 -165  gusting up to 185 . The flooding extent is determined by analyzing the pre and post-event synthetic aperture radar images, using the change detection and thresholding (CDAT) method. The results showed an inundated landmass of 2146 on 22 May 2020, excluding Sundarban. However, the area became 1425 about a week after the event, precisely on 28 May 2020 . This persistency generated a more severe and intense flood, due to the broken embankments. Furthermore, 13 out of 19 coastal districts were affected by the flooding, while 8 were highly inundated, including Bagerhat, Pirojpur, Satkhira, Khulna, Barisal, Jhalokati, Patuakhali and Barguna. These findings were subsequently compared with an inundation map created with a validation survey immediately after the event and also with the disposed location using a machine learning-based image classification technique. Consequently, the comparison showed a close similarity between the inundation scenario and the flood reports from the secondary sources. This circumstance envisages the significant role of CDAT application in providing relevant information for an effective decision support system.
      PubDate: 2021-08-31
      DOI: 10.22146/jcef.64497
      Issue No: Vol. 7, No. 3 (2021)
  • Numerical Modelling Based on Digital Elevation Model (DEM) Analysis of
           Debris Flow at Rinjani Volcano, West Nusa Tenggara, Indonesia

    • Authors: Muhammad Fatih Qodri, Noviardi Noviardi, Al Hussein Flowers Rizqi, Lindung Zalbuin Mase
      Pages: 279 - 288
      Abstract: Debris flow is a disaster occurring in cases where a sediment particle flows at high speed, down to the slope, and usually with high viscosity and speed. This disaster is very destructive and human life-threatening, especially in mountainous areas. As one of the world’s active volcanoes in the world, Rinjani had the capacity to produce over 3 million m3 volume material in the 2015 eruption alone. Therefore, this study proposes a numerical model analysis to predict the debris flow release area (erosion) and deposition, as well as the discharge, flow height, and velocity. The Digital Elevation Model (DEM) was analyzed in ArcGIS, to acquire the Cartesian coordinates and “hillshade” form. This was also used as a method to produce vulnerable areas in the Jangkok watershed. Meanwhile, the Rapid Mass Movement Simulation (RAMSS) numerical modeling was simulated using certain parameters including volume, friction, and density, derived from the DEM analysis results and assumptions from similar historical events considered as the best-fit rheology. In this study, the release volume was varied at 1,000,000 m3, 2,000,000 m3, and 3,000,000 m3, while the simulation results show movement, erosion, and debris flow deposition in Jangkok watershed. This study is bound to be very useful in mitigating debris flow as disaster anticipation and is also expected to increase community awareness, as well as provide a reference for structural requirements, as a debris flow prevention.
      PubDate: 2021-08-31
      DOI: 10.22146/jcef.63417
      Issue No: Vol. 7, No. 3 (2021)
  • The Spatial Model using TRIGRS to determine Rainfall-Induced Landslides in
           Banjarnegara, Central Java, Indonesia

    • Authors: Agus S Muntohar, Gayuh Aji Prasetyaningtiyas, Rokhmat Hidayat
      Pages: 289 - 298
      Abstract: Severe landslides followed by debris flow were recorded to have occurred on 12 December 2014 and discovered to have ruined infrastructures and buried hundreds of peoples in Karangkobar subdistrict of Banjarnegara district, Central Java. There was, however, a high rainfall of up to 200 mm per day for two days before the disaster. Therefore, this research was conducted to predict and assess the landslide area using Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) version 2.0 model to calculate the pore water pressure and safety factor (FS) during rainfall infiltration. The TRIGRS model focused on spatial analysis. The data used as input for this analysis include the DEM, geological and geotechnical properties, infiltration variables, and rainfall intensity. Meanwhile, the FS value was observed to be lowest at the initial condition before rainfall infiltration by ranging between 1 and 1.2 and distributed at the steep slope area near Jemblung. The results were validated through the back analysis of a reference landslide event and the instability in the area was confirmed to be initiated in the 3 three hours of rainfall while the hazards area occurs majorly at the steep slopes with slope angles greater than 30o after 24 hours. The simulation results showed the steep slope area with an inclination angle greater than 30o is susceptible to failure during the rainfall infiltration due to FS < 1.2 while some locations with steep slopes were likely not to fail as indicated by FS >1.2. This study generally concluded that the TRIGRS was able to predict the location of the failure when compared with the results from the field observation of the landslide occurrences.
      PubDate: 2021-08-31
      DOI: 10.22146/jcef.55282
      Issue No: Vol. 7, No. 3 (2021)
  • Effect of Well Resistance on Time Factor Ratio Due to PVD Deformation

    • Authors: Galuh Chrismaningwang, Hary Christady Hardiyatmo, Agus Darmawan Adi, Teuku Faisal Fathani
      Pages: 299 - 308
      Abstract: One of the most common soft soil enhancement techniques used to expedite the consolidation time significantly is Prefabricated Vertical Drains (PVD). This technique needs a sufficient discharge capacity value because it primarily functions as a drainage channel. The deformation of PVD is considered as one of the primary factors which affect discharge capacity. Therefore, this research determined the influence of upper-side deformation on PVD's discharge capacity (qw) using a specific design apparatus known as ASTM D4716, which manages the determination of transmissivity and flow rate at the longitudinal direction of geosynthetics. Furthermore, two PVD samples with dimensions of 3 and 4 mm thickness, 100 mm width, and 1000 mm length were examined under straight and buckled conditions. Stepwise confining pressures from 50 to 200 kPa were subjected to the samples under hydraulic gradients with values of 0.2, 0.5, and 1.0. The results showed that samples with greater thickness had higher discharge capacity, which significantly reduced in the lower hydraulic gradient. The deformation on the upper side of PVD induced a decrease of discharge capacity by approximately 13-16%, which led to a delay in the consolidation time. The discharge capacity values obtained from the experiments were employed as parameters in a time factor ratio of Th,w/Th. The analysis results show that the buckled PVD has a more considerable consolidation time due to the increase in the Th,w/Th ratio, with a discharge capacity value below 10-4 m3/s. It can be concluded that the deformation in the form of buckled conditions on the upper side of PVD had a considerable impact on PVD effectiveness.
      PubDate: 2021-08-31
      DOI: 10.22146/jcef.64381
      Issue No: Vol. 7, No. 3 (2021)
  • Feasibility Evaluation of Wastewater Treatment Plant System: A Case Study
           of Domestic Wastewater System in Sleman Regency, Yogyakarta, Indonesia

    • Authors: Sri Puji Saraswati, Gregorius Henry Diavid, Sophia An Nisa, Nilna Amal, Visi Asriningtyas
      Pages: 309 - 322
      Abstract: Domestic Wastewater Treatment Plant (DWWTP) type 1 and DWWTP type 2 were being evaluated. DWWTP type 1 is located in Sembir area while DWWTP type 2 is located in Tambakrejo area which are both in Sleman Regency, Special Region of Yogyakarta (Daerah Istimewa Yogyakarta or DIY), Indonesia. The emphasis of this research is to choose the manhole material which has the least leakage to the soil, influent discharge performance and wastewater treatment quality effluent. The method used to measure the discharge was by averaging daily discharge for twelve hours, while the E. Coli bacteria under the manhole was also being analyzed. Pollution Index method was also used to evaluate the pollution levels of the wastewater treatment effluent. Results of the study indicated that DWWTP type 1 performance was not optimal because the number of users was greater than that of the design. The impacts were excessive capacity, improper detention time and several parameters of the effluent did not meet the Indonesian legal regulation, including Chemical Oxygen Demand (COD), with efficiency of 34.43%. Wastewater treatment quality effluent parameters which met the Indonesian legal regulation were pH, TSS, TDS, Oil and Grease and Chlorine for DWWTP type 1. Pollution Index (PI) of DWWTP type 1 was 7.02 and PI of DWWTP type 2 was 6.96 which were relatively categorized as moderately polluted. DWWTP type 2 performance was optimal with mean discharge lower than the design discharge. Parameters of the effluent which met the Indonesian legal regulation were pH, TSS, TDS, Oil and Grease, Detergent and COD for DWWTP type 2. The COD of DWWTP type 2 met the Indonesian legal regulation with high efficiency of 73.24%. The E. Coli bacteria was not found in soils under the ring type precast concrete manholes. Hence ring type precast concrete base manhole is recommended.
      PubDate: 2021-08-31
      DOI: 10.22146/jcef.64643
      Issue No: Vol. 7, No. 3 (2021)
  • Crack Detection on Concrete Surfaces Using Deep Encoder-Decoder
           Convolutional Neural Network: A Comparison Study Between U-Net and

    • Authors: Patrick Nicholas Hadinata, Djoni Simanta, Liyanto Eddy, Kohei Nagai
      Pages: 323 - 334
      Abstract: Maintenance of infrastructures is a crucial activity to ensure safety using crack detection methods on concrete structures. However, most practice of crack detection is carried out manually, which is unsafe, highly subjective, and time-consuming. Therefore, a more accurate and efficient system needs to be implemented using artificial intelligence. Convolutional neural network (CNN), a subset of artificial intelligence, is used to detect cracks on concrete surfaces through semantic image segmentation. The purpose of this research is to compare the effectiveness of cutting-edge encoder-decoder architectures in detecting cracks on concrete surfaces using U-Net and DeepLabV3+ architectures with potential in biomedical, and sparse multiscale image segmentations, respectively. Neural networks were trained using cloud computing with a high-performance Graphics Processing Unit NVIDIA Tesla V100 and 27.4 GB of RAM. This study used internal and external data. Internal data consisted of simple cracks and were used as the training and validation data. Meanwhile, external data consisted of more complex cracks, which were used for further testing. Both architectures were compared based on four evaluation metrics in terms of accuracy, F1, precision, and recall. U-Net achieved segmentation accuracy = 96.57%, F1 = 87.55%, precision = 88.15%, and recall = 88.94%, while DeepLabV3+ achieved segmentation accuracy = 96.47%, F1 = 85.29%, precision = 92.07%, and recall = 81.84%. Experiment results (internal and external data) indicated that both architectures were accurate and effective in segmenting cracks. Additionally, U-Net and DeepLabV3+ exceeded the performance of previously tested architecture, namely FCN.
      PubDate: 2021-08-31
      DOI: 10.22146/jcef.65288
      Issue No: Vol. 7, No. 3 (2021)
  • Bio-Engineered Concrete: A Critical Review on The Next Generation of
           Durable Concrete

    • Authors: Md. Fahad Shahriar Zawad, Md. Asifur Rahman, Sudipto Nath Priyom
      Pages: 335 - 358
      Abstract: Concrete is a prerequisite material for infrastructural development, which is required to be sufficiently strong and durable. It consists of fine, coarse, and aggregate particles bonded with a fluid cement that hardens over time. However, micro cracks development in concrete is a significant threat to its durability. To overcome this issue, several treatments and maintenance methods are adopted after construction, to ensure the durability of the structure. These include the use of bio-engineered concrete, which involved the biochemical reaction of non-reacted limestone and a calcium-based nutrient with the help of bacteria. These bio-cultures (bacteria) act as spores, which have the ability to survive up to 200 years, as they are also found to start the mineralization process and the filling of cracks or pores when in contact with moisture. Previous research proved that bio-engineered concrete is a self-healing technology, which developed the mechanical strength properties of the composite materials. The mechanism and healing process of the concrete is also natural and eco-friendly. Therefore, this study aims to critically analyze bio-engineered concrete and its future potentials in the Structural Engineering field, through the use of literature review. The data analysis was conducted in order to provide gradual and informative ideas on the historical background, present situation, and main mechanism process of the materials. According to the literature review, bio-engineered concrete has a promising outcome in the case of strength increment and crack healing. However, the only disadvantage was its less application in the practical fields. The results concluded that bio-engineered concrete is a new method for ensuring sustainable infrastructural development. And also, it indicated that more practical outcome-based analysis with extensive application in various aspects should be conducted, in order to assess the overall durability.
      PubDate: 2021-08-31
      DOI: 10.22146/jcef.65317
      Issue No: Vol. 7, No. 3 (2021)
  • Rainfall-Runoff Simulation Using HEC-HMS Model in the Benanain Watershed,
           Timor Island

    • Authors: Wilhelmus Bunganaen, John H. Frans, Yustinus Akito Seran, Djoko Legono, Denik Sri Krisnayanti
      Pages: 359 - 368
      Abstract: Floods in a watershed area are caused by reduced water recharge due to changes in land use, increasing their discharge volume. Benanain watershed is an extensive area with many tributaries. Watershed morphometrics provides initial information about the hydrological behavior and the hydrograph shape of flooding in these areas. Furthermore, rainfall-runoff modeling uses as a unit to approach the hydrological values of the flooding process. This study determines the physical characteristics of the Benanain watershed based on curve number (CN) values, land cover, peak discharge, and peak time. It was conducted on the Benanain watershed with 29 sub-watersheds covering 3,181.521 km2. Data were collected on the rainfall experienced for 13 years from 1996 to 2008 and analyzed using the Log Pearson Type III method, while the HEC HMS model was used for flood discharge analysis. HEC-HMS model must calibrate by adjusting the model parameter values until the model results match historical data such as initial abstraction, lag time, recession, baseflow values, and curve number.  The results show that the curve number values range from 56.55 - 73.90, comprising secondary dryland forest and shrubs. Moreover, the rock lithology in the Benanain watershed is dominated by scaly clay and other rock blocks. This means the area has low to very low permeability, which affects the volume of runoff. The return period of a 1000-year flood discharge obtained a peak of 5,794.50 m3/s, with a peak time of ± 14 hours. Morphometry of the Temef watershed with large catchment, radial shape pattern, an average of steep slope river, and meandering affects the peak of flood discharge hydrograph and the peak time of the flood.  
      PubDate: 2021-08-31
      DOI: 10.22146/jcef.64782
      Issue No: Vol. 7, No. 3 (2021)
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