Article Per Year (5 Year)
p-Index From 2020 - 2025
1.383
P-Index
This Author published in this journals
All Journal Indonesian Journal of Geography Jurnal Inotera Journal of the Civil Engineering Forum Jurnal Ilmiah Teknik Sipil Agregat Jurnal Teknologi Lingkungan Komposit : Jurnal Pengabdian Dan Pemberdayaan Masyarakat Jurnal Teknik Sipil
Saragih, Darman Ferianto
Politeknik Negeri Medan
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Teknik Sipil

 1 
PEMODELAN PEMANENAN AIR HUJAN UNTUK MENDUKUNG KONSEP KAMPUS HIJAU DAN PENGURANGAN RISIKO BANJIR Saragih, Darman Ferianto; Samiran, Samiran; Utami, Citra; Al Qadry, Al Qadry; Nurzanah, Wiwin
JURNAL TEKNIK SIPIL Vol 12, No 2 (2023): Volume 12 Nomor 2 November 2023
Publisher : Jurusan Teknik Sipil, Fakultas Teknik, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jts.v12i2.33437

Abstract

High rainfall has two conflicting effects. On the one hand, it is beneficial because it has the potential to be used to replace conventional raw water sources. On the other hand, it creates disadvantages caused by flooding. The purpose of this study was to determine the design of a rainwater harvesting system based on the geometric model of the building and the rain regime in such a way that the collected water can replace the use of groundwater so far while at the same time reducing the urban drainage load. The sequential research steps include literature study, determining analysis parameters, designing a Rainwater Harvesting System (RHS) model, creating a spreadsheet-based application (simulation table) for analysis of the RHS's performance, collecting data, analyzing the RHS model using a simulation table, and making conclusions. The RHS simulation designed for the Polmed campus lecture building produces a tank capacity of 45 m3 with a water-saving efficiency of 25% and an efficiency of reducing peak rain runoff of 67.5%. The RHS analysis table resulting from this study can generally be used to design an RHS.
LANDSLIDE SUSCEPTIBILITY MAPPING USING GIS-BASED MULTI-CRITERIA DECISION ANALYSIS METHOD Saragih, Darman Ferianto; Ginting, Bertha Br
JURNAL TEKNIK SIPIL Vol 12, No 1 (2023): Volume 12 Nomor 1 Mei 2023
Publisher : Jurusan Teknik Sipil, Fakultas Teknik, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jts.v12i1.28743

Abstract

Changes in land use (triggered by population growth), economic, social, cultural development, climatic conditions, geology, and topography of an area cause more landslides to occur. Depending on the location, it often causes a much of loss, both in the form of property and human lives. The GIS (Geographical Information Systems) is beneficial for managing the geographic data, and MCDA (Multi-Criteria Decision Analysis) is applied to evaluate various criteria for making decisions that often conflict, such as the criteria for triggering the landslide. The research aims to enrich the application of the GIS-based MCDA method in determining the landslide hazard mapping model and its application to create a landslide susceptibility map of the area under study. The sequence of the landslide susceptibility mapping model steps applied in this study is as follows: 1) Determination of evaluation criteria, 2) data/maps collection, 3) Criteria standardization, 4) Creating the standardized criteria maps, 5) Criteria weighting, and 6) Criteria maps combinations. The model result is a map showing the distribution of areas that have different levels of landslide susceptibility. Most of the study areas (67.24 %) have moderate levels, 17.84 % high, and only 1.70 % very high levels of susceptibility.
Co-Authors Al Qadry, Al Qadry Citra Utami, Citra Fadhil Putra Noviadi Gallio Budianto Ginting, Bertha Br Hadianti Muhdinar Pasaribu Marsedes Purba Meraty Ramadhini Muhammad Fadel Andika Nurzanah, Wiwin Purba, Marsedes Samiran, Samiran Syiril Erwin Harahapan Tri Septiningtiyas, Dina