scholarly journals Optimasi Sistem Irigasi Lahan Tada Hujan menggunakan Algoritma Ant Colony Optimization berbasis Tenaga Surya

Petir ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 45-51
Author(s):  
Abdul Haris
Keyword(s):  
Ant Colony Optimization ◽  
Electric Power ◽  
Water Distribution ◽  
Irrigation System ◽  
Ant Colony ◽  
Soil Conditions ◽  
Limited Ability ◽  
Human Power ◽  
Agriculture Land ◽  
Potential Resource

Indonesia is a country that has vast agriculture and has a majority source of income as farmer. The agriculture area still cannot be optimized considering that still a lot of dry agriculture land and have not got good irrigation system, several problems that cause are still a lot of dry agriculture which higher position of irrigation system available and there are limited land so that if irrigation system built or DAM then operational coast outweigh of impact on the land, another problem occurs is limited ability of community for built independent and modern irrigation system so that assistance is needed and technology that can be utilized as resource for built independent and modern irrigation system. One of potential resource in Indonesia is energy of sun which can be converted to electric power, this is energy very much in Indonesia, so that can be using as energy to pump water from springs to be distributed to dry agriculture land. To be able to reduce human power and monitoring this paper using Ant Colony Optimization as computation system.  This algorithm used to optimized water distribution evenly on dry agriculture land which is adapted to the soil conditions.   

Implementasi Ant Colony Optimization (ACO) pada Sistem Irigasi Lahan Tadah Hujan

Kilat ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 336-348
Author(s):  
Abdul Haris ◽  
Trisma Juwita ◽  
Rosida Nur Aziza ◽  
Hengki Sikumbang ◽  
Riki Ruli A. Siregar
Keyword(s):  
Ant Colony Optimization ◽  
Distribution System ◽  
Water Distribution ◽  
Water Distribution System ◽  
Irrigation System ◽  
Ant Colony ◽  
Irrigation Systems ◽  
Distribution Process ◽  
Soil Dryness ◽  
The Impact

The purpose of this research is to produce an optimal water distribution system for irrigation of rainfed land. The problem with conventional irrigation systems is that the water distribution process cannot be controlled and monitored automatically and in real time. The impact on water distribution becomes ineffective. The implementation of Ant Colony Optimization (ACO) is used in research as a method to determine the location or node based on the pheromone pattern of the soil dryness level at the sprinkler nodes to be distributed by the water flow, taking into account the criteria level on the soil as a trend of probability values ​​and determining the nodes according to the needs in the flow water. The results obtained from this study indicate that the data displayed is the level of dryness of each node, the volume of water in the reservoir, and the flow of water flowing. The ACO test shows the sequence of nodes that will be passed after the optimization process of water distribution in a rainfed irrigation system using the ACO method gets an error value calculated by the MAPE method of 43% so that it gets an accuracy value of 57%.

scholarly journals Ant Colony Optimization for the Design of Water Distribution Systems

2001 ◽  
Author(s):  
Holger R. Maier ◽  
Angus R. Simpson ◽  
W. K. Foong ◽  
K. Y. Phang ◽  
H. Y. Seah ◽  
...  
Keyword(s):  
Ant Colony Optimization ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Ant Colony

scholarly journals Ant Colony Optimization for Design of Water Distribution Systems

2003 ◽  
Vol 129 (3) ◽  
pp. 200-209 ◽  
Author(s):  
Holger R. Maier ◽  
Angus R. Simpson ◽  
Aaron C. Zecchin ◽  
Wai Kuan Foong ◽  
Kuang Yeow Phang ◽  
...  
Keyword(s):  
Ant Colony Optimization ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Ant Colony

scholarly journals Perbaikan Level Tegangan dan Reduksi Rugi-Rugi Sistem Transmisi Sulbagsel Berbasis Ant Colony Optimization

2019 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Ikhlas Kitta
Keyword(s):  
Power System ◽  
Ant Colony Optimization ◽  
Electric Power ◽  
Electric Power System ◽  
Ant Colony ◽  
Power Losses ◽  
The South ◽  
Optimal Amount ◽  
South Sulawesi

Abstract—The Ant Colony Optimization (ACO) method is used to determine the location and optimal amount of bank capacitors in the South Sulawesi electric power system (Sulbagsel). The purpose of employing ACO is to determine the ability of ACO as one method for optimization to improve voltage levels and reduce power losses in the electric power system. There are 5 scenarios carried out in this study, scenario 4 and scenario 5 are scenarios for applying the ACO method, the results of these two scenarios are the increase in voltage on the bus and the reduction of power losses in the Sulbagsel system.  

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