Analysis of Permeability Coefficient on Stabilished Peat using Bacillus Subtilis Bacteria

In construction sector, peat is one type of soil that is avoided because it has poor characteristics. This is because peat has very different characteristics when compared to other types of soil. Poor peat characteristics often lead to damage and construction failure of infrastructure buildings on peat. For example, large settlement values are caused by high peat compression that strongly influenced by its permeability value. The smaller the permeability value, the smaller the compression that occurs. Indonesia has the largest peatland distribution in Southeast Asia, this is a problem that must be resolved immediately. Much research has been done to improve the characteristics of peat, one of which is peat stabilization. Microbially Induced Calcite Precipitation (MICP) method using Bacillus subtilis was considered as an effective method in peat stabilization. This stabilization can reduce the permeability value of the peat by closing the pores in the peat. To investigate the influence of the bacteria on the peat sample, several tests was conducted including the physical property and permeability test. In this study, the addition of Bacillus subtilis bacteria solution can reduce the permeability value of peat from 0.001170 cm/sec to 0.000317 cm/s at the addition of 5% bacteria solution.

Authors

Institutions

Publication Details

Journal
Potensi Jurnal Sipil Politeknik
Published
2024-11-18
DOI
https://doi.org/10.35313/potensi.v26i2.5825
Primary Topic
Microbial Applications in Construction Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Permeability Coefficient on Stabilished Peat using Bacillus Subtilis Bacteria

Dewi Amalia, Annisa Khoerani, Suherman Sulaiman
Potensi Jurnal Sipil Politeknik
Microbial Applications in Construction Materials
article

Analysis of Permeability Coefficient on Stabilished Peat using Bacillus Subtilis Bacteria

Dewi Amalia, Annisa Khoerani, Suherman Sulaiman
article en

Abstract

In construction sector, peat is one type of soil that is avoided because it has poor characteristics. This is because peat has very different characteristics when compared to other types of soil. Poor peat characteristics often lead to damage and construction failure of infrastructure buildings on peat. For example, large settlement values are caused by high peat compression that strongly influenced by its permeability value. The smaller the permeability value, the smaller the compression that occurs. Indonesia has the largest peatland distribution in Southeast Asia, this is a problem that must be resolved immediately. Much research has been done to improve the characteristics of peat, one of which is peat stabilization. Microbially Induced Calcite Precipitation (MICP) method using Bacillus subtilis was considered as an effective method in peat stabilization. This stabilization can reduce the permeability value of the peat by closing the pores in the peat. To investigate the influence of the bacteria on the peat sample, several tests was conducted including the physical property and permeability test. In this study, the addition of Bacillus subtilis bacteria solution can reduce the permeability value of peat from 0.001170 cm/sec to 0.000317 cm/s at the addition of 5% bacteria solution.

Potensi Jurnal Sipil PoliteknikVol. 26(2)
Bandung Institute of Technology (ID), Politeknik Negeri Bandung
Openalex Percentile: Top 76%
Microbial Applications in Construction Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.