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Journal : Journal of Green Science and Technology

DETERMINATION OF THE FASTEST ROUTE FOR FIRE TRUCKS IN CIREBON CITY BASED ON DISTANCE, TIME, CONGESTION AND LAND USE Mira Lestira Hariani; Yackob Astor
Journal of Green Science and Technology Vol 5 No 1 (2021): JOURNAL OF SCIENCE AND TECHNOLOGY VOL. 5 NO. 1 MARCH 2021
Publisher : Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jgst.v5i1.4905

Abstract

Fire fighter performance can be represented by the speed of handling the fire case, where greatly influenced by the travel speed of the fire trucks to the fire location. This study aims to determine the fastest route for fire trucks in Cirebon City based on the travel distance, time, congestion and land use. The method used in this study is by applying the Geographic Information System (GIS) model in identifying several variables that affect the travel speed of fire trucks. In this study, several alternative routes were determined from the fire station (Harjamukti fire station and Bima fire station) to the location of fire (Harjamukti Market) and then calculated the travel time on each alternative route by considering travel distance, time, congestion and land use. The results showed that the fastest travel time for fire trucks in Cirebon City was largely influenced by the travel distance. However, in conditions of high traffic flow, a route with a longer distance but does not cross a congested road segment can produce a faster travel time when compared to a shorter route but crosses congested roads. The fastest route from the Bima fire station to  Harjamukti market is route 1 (2,854 m) in the morning, route 3 (3,019 m) in the afternoon and evening. Meanwhile, the fastest route from the Harjamukti fire station to Harjamukti Market is Route 1 (2,069 m) in the morning, afternoon and evening because it has the shortest distance.
USING DRONES FOR LANDFILL MONITORING AND PROJECTION CALCULATION Yackob Astor; Aditia Febriansya; Retno Utami; Muhammad Rizki Firdaus; Farhan Arradzumar Gustaman; Saepul Fariz
Journal of Green Science and Technology Vol 6 No 1 (2022): VOL 6, NO 1 (2022): JOURNAL OF GREEN SCIENCE AND TECHNOLOGY VOL. 6 NO. 1 MARCH 20
Publisher : Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jgst.v6i1.6733

Abstract

ABSTRACT: Until now, monitoring the landfill volume in the Sarimukti landfills is calculated by the ratio of trucks converted from tonnage to volume based on the density of the landfill. The various truck specifications and the landfill density conversion process affect the tonnage value. This has an impact on the accuracy of the landfill volume calculation results. This research uses drones as the main tool for monitoring Sarimukti landfills by making a 3D map of the landfill in 2021 as a reference for calculating the volume of existing landfill. The analysis was carried out by comparing the existing landfill volume with the projected landfill volume in 2025 according to the operational period of the landfills. The results of the analysis show that the Sarimukti landfills can no longer accommodate landfill by 2023.Keywords: Drone, Landfill, Contour
Correlation Road Geometric On Road Damage Zahra, Ananda Amatory; Astor, Yackob; Sihombing, Atmy Verani
Journal of Green Science and Technology Vol 8 No 1 (2024): Journal of Green Science and Technology Vol.8 No.1 March 2024
Publisher : Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jgst.v8i1.124

Abstract

The implementation of safe road infrastructure can be defined by the minimum number of traffic accidents that occur on these roads. Traffic accidents can caused by several factors, encompassing the geometric attributes of the road, characteristics of vehicles, human elements, and environmental conditions. Previous studies have identified specific geometric features, including superelevation, degree of curvature, road slope, and shoulder type, as influential factors in traffic accidents. Simultaneously, the state of the pavement, characterized by issues such as rutting, potholes, IRI value, and skid resistance, also plays a crucial role in traffic accident. The interplay between road geometric and pavement conditions underscores the importance of effective road management for ensuring safety. Existing research highlights a correlation between road geometric and road damage, with the Pavement Condition Index (PCI) directly correlating with road and shoulder width, and inversely correlating with transverse and longitudinal road slope. This phenomenon is, in part, attributed to heightened shear strain on narrow road shoulders and a reduction in the resilience modulus value of the subgrade on sloped roads.