Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Technomedia Journal INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY
Komara, Kresna Dwiki
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Energy Environmental Science Languange, Linguistic, Communication & Media

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Pengaruh Curve Number terhadap Debit BanjirMenggunakan Metode Pemodelan Hidrologi di DAS Juana: Analysis Curve Number Influence on Flood Discharge using Hydrological Modeling in Juana Watershed Komara, Kresna Dwiki; Kurniyaningrum, Endah; Rinanti, Astri; Yuwono, Bambang Endro; Pontan, Darmawan
Technomedia Journal Vol 9 No 3 (2025): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v9i3.2296

Abstract

This research aims to investigate the effect of Curve Number (CN) on flood discharge in the Juana watershed. Using a case study approach, analysis was carried out to understand the relationship between CN values and hydrological characteristics and flood risk in the region. The research method involves hydrological modeling which takes into account the CN value as a key parameter. Spatial and temporal data on land cover, soil type and vegetation are used to determine CN values in various land change scenarios. The study results indicate a trend of increasing Curve Number (CN) values in 5 Subwatersheds, a decrease in 2 Subwatersheds, and no change in 1 Subwatershed. The highest increase in CN value was observed in the Juana 2 Subwatershed, with an increase of (+) 0.935, while the largest decrease was found in the Gembong Subwatershed, with a decrease of (-) 0.349. Both the increase and decrease in CN values are directly proportional to the resulting flood discharge. These findings have important implications for disaster risk management, regional planning, and sustainable policy development in the Juana River Basin and similar regions worldwide. By understanding more deeply the influence of CN on flood discharge, more effective mitigation measures can be designed to protect communities and ecosystems that are vulnerable to flood threats.
Evaluating Land Cover Effects on Land Surface Temperature in the Juana Watershed for Urban Climate Adaptation Kurniyaningrum, Endah; Abdilla, Raihan; Rinanti, Astri; Herlina, Liana; Kuswanda, Giraldi Fardiaz; Komara, Kresna Dwiki; Toffin, Louis Wei; Thieble, Simon; Assidik, Muhammad Luthfi
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 9, NUMBER 1, APRIL 2026
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v9i1.24048

Abstract

Aim: This study analyzes how land cover affects land surface temperature (LST). Understanding this helps optimize land management, improve agriculture, and address climate change impacts on soil temperature. Methodology and Results: To achieve this objective, the study employs a field experiment and remote sensing analysis to evaluate soil temperature variations. Land surface temperature data from Landsat satellite imagery enabled observation of the spatial distribution of soil temperature. The results indicate that sandy soils experience greater temperature fluctuations compared to clay soils, which are better at retaining heat over time. Conclusion, Significance, and Impact Study: This study confirms that soil texture and moisture content significantly influence land surface temperature dynamics. The findings can be applied to water management planning in the agricultural sector, climate change adaptation strategies, and more effective land use planning. The integration of remote sensing and field data improves the accuracy of large-scale soil temperature monitoring. Building on these results, future studies should specifically focus on quantifying the separate and combined effects of vegetation cover and organic matter content on soil thermal properties to further refine predictive models.
Co-Authors Abdilla, Raihan Assidik, Muhammad Luthfi Bambang Endro Yuwono Endah Kurniyaningrum Giraldi Fardiaz Kuswanda Liana Herlina Pontan, Darmawan Thieble, Simon Toffin, Louis Wei