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All Journal Jurnal Pensil : Pendidikan Teknik Sipil Journal of Civil Engineering and Vocational Education
Pradigta, Mochammad Danara Indra
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Civil Engineering, Building, Construction & Architecture Education Engineering Environmental Science Transportation Other

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Comparison of Gumbel Method and Log Pearson Method in Flood Control in Konto River Jombang Pradigta, Mochammad Danara Indra; Susanto, Sony; Pratikto, Herlan
CIVED Vol. 11 No. 3 (2024): September 2024
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/cived.v11i3.645

Abstract

This study aims to analyze the potential for flooding in the Konto River, Gudo District, Jombang Regency, this study uses the Gumbel and Log Pearson III statistical methods. Floods in this area often occur due to rainwater flow from the surrounding mountains which causes damage to infrastructure and settlements. Maximum daily rainfall data from 2013 to 2023 are used in this analysis. The Gumbel method is a statistical technique that is often used to analyze extreme rainfall data. The Gumbel and Log Pearson III methods are applied to estimate the design rainfall based on the flood return period, which is useful in infrastructure planning and flood mitigation. The calculation results show that the design rainfall increases with the increase in the return period. Compared to the Log Pearson III method, the Gumbel method provides higher design rainfall results, making it more suitable for estimating extreme rainfall in this area. These results are important in efforts to manage water resources and control flooding in the Konto River. The design rainfall will increase with the longer return period. This means that the higher the design rainfall, the smaller the possibility of it happening again. The results of the calculations show that the three methods can be used to calculate the planned rainfall, because the differences between one method and another are not much different, but the most suitable method to use is the gumbell method because the planned rainfall value is greater.
SPATIAL REGRESSION MODEL ANALYSIS OF TRAFFIC VOLUME AND SPEED IN KEDIRI CITY Pradigta, Mochammad Danara Indra; Hidiyati, Evita Fitrianis; Cahyono, Andri Dwi; Azhari, Faiz Muhammad; Kusaini, Muhamad; Muna, Tahta Mihrobul
Jurnal Pensil : Pendidikan Teknik Sipil Vol. 14 No. 3 (2025): Jurnal Pensil : Pendidikan Teknik Sipil
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jpensil.v14i3.58969

Abstract

Urban development is often accompanied by traffic challenges, particularly the increasing volume of vehicles that is not commensurate with the capacity of road infrastructure. This study aims to evaluate the effect of spatial heterogeneity of vehicle volume and type on vehicle speed at four main intersections in Kediri City: Alun-Alun, Semampir, Bandar Alim, and Kawi. A quantitative approach was used through direct observation, floating car method, and linear regression analysis and ANOVA. The results show that intersections with high vehicle volume tend to have lower speeds, especially when dominated by heavy vehicles. Alun-Alun intersection has the highest R-Square value for vehicle volume (0.847), while Bandar Alim intersection recorded the highest R-Square for vehicle speed (82%). T-test and ANOVA indicate a significant effect of vehicle direction and type on speed, especially at Semampir and Bandar Alim. These findings demonstrate the importance of integrating volume and speed in traffic management, as well as the need for a data-driven and spatial approach in developing intelligent transportation systems. Therefore, it is necessary to discuss further in the objectives and body of the research regarding the causal relationship between vehicle volume, vehicle type composition, travel direction, and spatial variations between intersections, so that the research results can provide a stronger scientific basis for adaptive traffic management policies to the specific conditions of each intersection.
Co-Authors Andri Dwi Cahyono Faiz Muhammad Azhari Herlan Pratikto Hidiyati, Evita Fitrianis Kusaini, Muhamad Muna, Tahta Mihrobul Sony Susanto