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Combination of river stone and river sand in North Luwu district, Indonesia with marble ash as filler towards marshall characteristics

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AIP Conference Proceedings 2024年第1期3110卷

作者： Parea Rusan Rangan Miswar Tumpu Mansyur Mansyur Civil Engineering Department Faculty of Engineering Christian University of Indonesia Toraja Indonesia Disaster Management Study Program The Graduate School Hasanuddin University Makassar Indonesia Civil Engineering Department Faculty of Engineering SembilanBelas November University Kolaka Indonesia

The AC-BC (Asphalt Concrete-Binder Course) pavement layer is a middle layer that sits above the AC base and beneath the wear layer. To be used in this study were the river stone and river sand, Sabbang District, and North Luwu Regency in Mixed Laston AC-BC. With varying marble ash contents of 0, 25, 50, 75, and 100%, experiments were conducted on the characteristics of coarse and fine aggregate as well as marble ash as a filler substitute. The composition of the AC-BC mixture was then designed, the mix properties were determined by the Marshall test, and the Marshall stability residual mix at the optimal bitumen concentration was determined by the Marshall immersion test. The findings demonstrated that the pavement materials, located in Sabbang District, North Luwu Regency, meet the requirements for use as road pavement layer materials. The characteristics of the AC-BC combination with asphalt contents of 5.0, 5.5, 6.0, 6.5, and 7.0% were determined by the Marshall Test. The results of the Marshall Immersion test for the AC-BC mixture with an ideal bitumen content of 6.00% produced a residual Marshall stability of 96.5%, fulfilling the Indonesian requirement of 2018 Bina Marga Specifications, which is a minimum of 90%.

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study of the effect of soluble silicates (waterglass) and limestone on the compressive strength test, cohesion and modulus of soil stiffness

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AIP Conference Proceedings 2024年第1期3110卷

In order to sustain the construction of a building, soil stability is crucial. In this study, clay soil had waterglass and limestone added to it. Given the current state of the soil, the researchers attempted to improve it by adding an activator, specifically limestone and waterglass, as an addition. This study will keep track of the soil’s compressive strength after it has been activated with waterglass and limestone. The waterglass variation is 7% of the overall weight, while the variations for the limestone mix are 5%, 10%, and 15%. According to the test results, the soil has a compressive strength of 0.86 kg/cm2, making it unsuitable for use as subgrade soil. The test findings showed that after adding waterglass activator and limestone, the compressive strength value of the free rose. As can be observed, adding 5%, 10%, 15% limestone and 7% waterglass and curing the mixture for a day resulted in unconfined compressive strength values of 4.82 kg/cm2, 6.76 kg/cm2, and 7.48 kg/cm2, respectively. The compressive strength measurements after 3 days of curing were 7.13 kg/cm2, 7.55 kg/cm2, and 11.24 kg/cm2, respectively. These findings suggest that adding waterglass activators and limestone can strengthen soil.

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The Investigations to Improvement performance of Non-displacement pile at Southern part of Bandung area 2

The Investigations to Improvement performance of Non-displac...

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2nd International Conference on Computer, Science, engineering, and Technology, ICComSET 2019

作者： Sulaeman, Agus Agung, Muhamad Septrian, Regi Fasya Civil Engineering Study Program Fakultas Sains Dan Teknik Universitas Faletehan Serang Indonesia

In an ordinary theory mentioning that Bored pile type is non-displacement pile instead of driven pile as displacement type. To change the bored pile become displacement type, need an effort to displace surrounding soil in the vicinity of bored pile, the compaction of concrete during installation is one of the solution. During compaction, the soil displaced and excess pore water pressure increase, then by allowing pore water pressure to dissipate, the ground improvement is happening. The modelling of pile loading test (PLT) were carried out in various w/c ratio in ambient condition on first liquidity index (LI1), LI2 and LI3, The direct shear test (DST) of clay soil (at LI1, LI2 and LI3) and at combination of clay + cement mortar at various w/c ratio were also carried out to encourage and endorse the simulation work. The ground improvement occurs as a results of : 1. Chemical reaction between cement and clay, 2. Enlargement of slip surface diameter at the interface between soil-soil cement mix hardened, 3. Increasing effective stress as an effect of allowing pore water pressure dissipation after compaction. This stabilization produce increasing strength properties up to 75 % at the optimum w/c ratio 0,4. Based on this findings, it recommends to include the ground improvement effect to bored pile foundation. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Compaction

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Analysis on calculation of Vehicle Operating Cost (VOC) at Gejayan intersection before and after fly over ring road operation in Yogyakarta

Analysis on calculation of Vehicle Operating Cost (VOC) at G...

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2018 CITIES International Conference: Spatial Economic Transport Interaction for Sustainable Development

作者： Wibisono, R.E. Cahyono, M.S.D. Muhtadi, A. Program Study of Civil Engineering Engineering Faculty Narotama University Indonesia Program Study of Civil Engineering Engineering Faculty Widya Kartika University Indonesia

Gejayan intersection is located in Sleman Regency of Yogyakarta. Fly Over will be constructed at the intersection in the ring road of Yogyakarta. The nearest intersection to the east is Gejayan Intersection with a distance of 1573.11 meters. Gejayan intersection performance in 2018 has reached saturation by having Level of Service E. The more severe conditions will occur in the next 10-20 years. If it is planned using Fly Over on the ring road in Yogyakarta connecting Gejayan intersection, the vehicles flow must have other alternative by road widening. The most important step is to predict the Vehicle Operating Costs (VOC). After the Fly Over operation, VOC can be calculated to determine the cost saving. The scenario to predict VOC was 80% of vehicle volume would pass the Fly Over, and the 20% would still use the existing road. The results showed that the cost saving of Vehicle Operating Costs (VOC) of the existing road compared to the fly over use in 2019 was IDR 37,941,324,952. In 2039 the saving would be IDR 240,232,694,488. If the road was only widened, the cost saving of VOC in 2019 would be IDR 9,084,204923 and in 2039 would be IDR 72,107,188,198. © Published under licence by IOP Publishing Ltd.

关键词： Operating costs

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Implementation of Malaria Detection Using MobileNetV2 Pretrained Model for Improved Deep Learning Based Diagnostics

Implementation of Malaria Detection Using MobileNetV2 Pretra...

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International Conference on Computing, engineering, and Design (ICCED)

作者： Rahmat Hidayat Achmad Solichin Adhitia Erfina Sudin Saepudin Muhamad Muslih Mohd Zainuri Saringat Master of Computer Science Budi Luhur University Jakarta Indonesia Information Systems Study Program Nusa Putra University Sukabumi Indonesia Department of Software Engineering Faculty of Computer Science and Information Technology Tun Hussein Onn Malaysia University

ISBN: (数字)9798331529376

ISBN: (纸本)9798331529383

The Plasmodium parasite, which causes malaria, is an acute fever illness that infects people when a female Anopheles mosquito bites them. It is predicted that malaria would claim 619,000 lives in 2021, with 96% of those deaths occurring in the African continent. We can achieve this by using a microscope to examine thick and thin blood smears. The proficiency of a microscope examiner is crucial for doing microscopic examinations. Consider how time-consuming, ineffective, and costly it would be to examine thousands of malaria cases. Consequently, Creating an automated method for detecting malaria parasites is the aim of this study. We employ a MobileNetV2 pretrained model with CNN technology. Because it has been trained on dozens or even millions of data points, this pretrained model is incredibly light but dependable. There are two main benefits of automatic malaria parasite detection: firstly, it can offer a more accurate diagnosis, particularly in locations with limited resources; secondly, it lowers diagnostic expenses. The optimizer utilizes Adam Weight, the criteria uses NLLLoss, and the model is trained using 32 for batch_size. In the fourteenth epoch, we obtained the maximum accuracy score of 96.26% based on the training data. The outcomes of the predictions demonstrate how excellent this score is. EfficienceNet, DenseNet, AlexNet, and other pretrained models are among the alternatives that scientists are advised to try training with.

关键词： Training Adaptation models Accuracy Costs Malaria Microscopy Data visualization Training data Cost function Data models

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Salt Hash Password Using MD5 Combination for Dictionary Attack Protection

Salt Hash Password Using MD5 Combination for Dictionary Atta...

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International Conference of Computer and Informatics engineering (IC2IE)

作者： Agung Nugroho Teddy Mantoro Cyber Defense Engineering Study Program Sains and Defense Technology Faculty The Republic of Indonesia Defense University Bogor Indonesia Departement of Computer Science Media-Tech Lab Sampoerna University Jakarta Indonesia

Using MD5 hashing of passwords in web logins is highly vulnerable to dictionary attacks. One online application for cracking hashed passwords using a dictionary attack that is free and easy to use is ***. Even so, the use of hashing passwords using MD5 which has a low level of security is still commonly found to secure web login passwords. This research presents an increase in security through a combination of salt hash passwords when using MD5. The methodology of this study uses a quantitative experimental method to apply hash salt passwords using the MD5 combination. The password cracking test was carried out using the *** online hash cracking application on weak passwords such as “admin” with the addition of a password hash salt using the MD5 combination. The results showed that Salt Password using the MD5 combination could not be cracked by *** using a dictionary attack.

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High Level Learning Approach for High Level Collision Avoidance Using Sensors 1

High Level Learning Approach for High Level Collision Avoida...

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1st IEEE International Interdisciplinary Humanitarian Conference for Sustainability, IIHC 2022

作者： Naibaho, Lamhot Razauddin Vertivendan, L. Karunakaran, V. Oberoi, Ashish Vishwath, N.C. Ajay Christian University of Indonesia English Language Education Study Program Faculty of Letters and Languages Indonesia Gulf Colleges Saudia Arabia Department of Computer and Information Sciences Saudi Arabia Galgotias University Department of CSE Uttar Pradesh Greater Noida India Faculty of Engineering and Technology Department of CSE Bangalore India RIMT University Department of CSE Godindgarh Mandi India Parul Institute of Engineering and Technology Parul University Aeronautical Department India

ISBN: (纸本)9781665456876

Motion planning for many unmanned aircraft is challenging because they have a larger configuration space than self-driving automobile development (Automated guided vehicles). Additionally, there are more significant uncertainties and disruptions in UAV environments, which makes inter automatic navigation more difficult. In this letter, I proposed a 2 recurrent neural networks (RL) oriented multi-UAV collision avoidance technique by modeling the unpredictability or noise in the environment. Our objective is to create a strategy that can construct a path without clashing with anything using local noisy data. But unlike supervised algorithms, RL lacks a steady training data set with floor labels, thus its collision avoidance strategies often show significant fluctuation and are difficult to reproduce. To solve these issues, we created a two-stage training method for RL-based collision avoidance. We first optimize the policy, and then we utilize a supervised learning methodology with a loss function that encourages the agents to adopt the well-known reciprocity obstacle detection mechanism. In the second step, we use transmission to fine-tune the policy. The complete computer simulation findings demonstrate that this approach can handle noisy local views with erratic sound levels and can design moment & accident paths under inadequate sensing. We review the impact of our policies in a variety of ways. © 2022 IEEE.

关键词： Recurrent neural networks

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Identification of subsurface soil layers in Sutami Dam area and its surroundings using magnetic methods 2

Identification of subsurface soil layers in Sutami Dam area ...

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2nd International Conference and Exhibition on Sciences and Technology, ICEST 2020

作者： Sutasoma, M. Susilo, A. Sunaryo, S. Suryo, E.A. Cahyo, R.H.D. Doctoral Program of Physics Faculty of Science Brawijaya University Jl. Veteran Jawa Timur Malang Indonesia Geophysics Engineering Faculty of Science Brawijaya University Jl. Veteran Jawa Timur Malang Indonesia Civil Engineering Faculty of Engineering Brawijaya University Jl. Veteran Jawa Timur Malang Indonesia Master Program of Physics Faculty of Science Brawijaya University Jl. Veteran Jawa Timur Malang Indonesia

The research was conducted to determine the subsurface layer type in the Sutami Dam area using magnetic methods. This study aims to determine the subsurface soil type in the area around the Sutami Dam. The instrument used in data collection was the Proton Precession Magnetometer (PPM) Scientrex Model G-8. The data collection area covers the Kromengan region (112.494oE;8.129oS) to the Sukorame area (112.358oE;-8.213oS). The area covers the Sutami Dam area. The research area is 15 km x 15 km or with an area of 225 KM with a space between points 300 m. From the data acquisition, it was found that the number of data collection points was 1372 points. The types of subsurface layers based on the 2,5 D Talwani modeling are soil, pumice, limestone, sandy tuff, sandstone, andesite, and lava. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Lime

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Catalytic cracking of polyethylene terephthalate (PET) plastic waste and palm fibre mixtures using Ni-USY zeolite catalyst 6

Catalytic cracking of polyethylene terephthalate (PET) plast...

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6th International Conference on Mathematics, Science, and Education, ICMSE 2019

作者： Nazarudin Jayanti, N. Alfernando, O. Prabasari, I.G. Ulyarti Sarip, R. Chemistry Engineering Study Program Faculty of Engineering Universitas Jambi Indonesia Center of Energy and Nanomaterial Study Universitas Jambi Indonesia Agricultural Product Technology Study Program Faculty of Agricultural Technology Universitas Jambi Indonesia Chemistry Department Faculty of Science University of Malaya Malaysia

This research was carried out to produce fuel (Oil Liquid Poduct/OLP) from catalytic cracking of a mixture of Polyethylene Terephthalate (PET) and fiber waste from palm oil. USY zeolite was previously ion-exchanged by three levels of Ni-metal concentration (1%, 2%, 3%) before used as catalyst in the cacking process. The catalytic cracking was carried out at rasio of sample to catalyst was 6:1, three levels of temperature (400°C, 425°C and 450°C) and three levels of reaction time (10, 20 and 30 minutes).The SEM images and EDX spectra of Ni-USY zeolite catalysts showed that all catalysts were in crystalline form of FAU framework. The highest of OLP percentage, 24.5%, was produced by catalytic cracking at 450°C for 10 minutes using Ni-USY prepared by ion-exchange using 2% concentration of Nickel Nitrate solution. © Published under licence by IOP Publishing Ltd.

关键词： Catalysts

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Paracetamol degradation in a dual-chamber rectangular membrane bioreactor using microbial fuel cell system with a microbial consortium from sewage sludge

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Case Studies in Chemical and Environmental engineering 2024年 9卷

作者： Utami, Tania Surya Arbianti, Rita Hidayatullah, Ibnu Maulana Yusupandi, Fauzi Hamdan, Mukti Fadilah Putri, Najah Riyadi, Fatimah Azizah Boopathy, Ramaraj Department of Chemical Engineering Faculty of Engineering Universitas Indonesia West Java Depok 16424 Indonesia Bioprocess Engineering Study Program Faculty of Engineering Universitas Indonesia West Java Depok 16424 Indonesia Research Center for Biomass Valorization Universitas Indonesia West Java Depok 16424 Indonesia Department of Chemical Engineering Institut Teknologi Sumatera Lampung Selatan Lampung 35365 Indonesia Department of Biological Sciences Nicholls State University Thibodaux 70310 LA United States

The public widely uses Paracetamol (PCT) as an analgesic drug to reduce pain and fever symptoms in the human body. The COVID-19 pandemic has led to an increase in PCT consumption, resulting in its presence in water bodies and establishing it as a common aquatic environmental pollutant. Conventional methods for PCT removal rely on chemical treatments, which necessitate harsh reaction conditions and incur high operational costs. This study aims to investigate the potential for PCT degradation within the anode environment of the Microbial Fuel Cell (MFC) system, using a consortium of bacteria isolated from sewage sludge. The initial PCT concentration and the pH of the anode environment were varied. The results showed that PCT degradation occurred within 72 hours. The highest PCT removal rate was achieved at elevated concentrations, specifically 28.54 ± 18.84% for an initial PCT concentration of 31.45 mg/L. Furthermore, the pH levels of the anode environment were observed to influence PCT degradation, with the highest degradation rate recorded at 48.69 ± 0.86% at a pH of 8.2. In this study, the highest average power density reached was 1174.42 mW/m² with an external resistance of 1000 Ω at an initial PCT concentration of 31.45 mg/L. Microbial community analysis was conducted, revealing that Burkholderia sp. dominated the reactor containing PCT. These findings offer valuable insights for the development of more efficient technologies for the removal of PCT from pharmaceutical wastewater using natural microbial communities. © 2023 The Authors

关键词： COVID-19 Dual chamber microbial fuel cell Microbial consortium Paracetamol Pollutant degradation

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