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All Journal Jurnal Teknik ITS IPTEK Journal of Proceedings Series JAVA Journal of Electrical and Electronics Engineering JAREE (Journal on Advanced Research in Electrical Engineering) Sewagati
Nurlita Gamayanti
Institut Teknologi Sepuluh Nopember
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Journal : JAREE (Journal on Advanced Research in Electrical Engineering)

 1 
Dynamic Path Planning Of Unmanned Surface Vehicle Based On Genetic Algorithm With Sliding Curve Guidance System Rusdhianto Effendie Abdul Kadir; Mochammad Sahal; Nurlita Gamayanti; Fian Ilham Pratama
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 1 (2021): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i1.165

Abstract

Unmanned Surface Vehicle (USV) is an unmanned ship that is controlled through a remote control system (manual) or automatic control system (autopilot), move due to the thrust force from thruster machine and can turning due to the deflection angle of rudder. The USV path planning system becomes an important task so that the ship can make the global trajectory with the minimum travel distance according to the desired navigation while at the same able to avoid various obstacles from local dangerous situations that have the potential for collisions. To be able to do dynamic USV path planning, the Genetic Algorithm method with a sliding curve guidance system and PID MRAC controller is used. The use of this method gives smooth ship track performance with shortest distance in a 400x400 square meter map with static and dynamic obstacles. In a dynamic environment, the path replanning process that takes place in 0,98 seconds is able to find a new path that does not collide the obstacles. For the purposes of algorithm validation, the simulation is performed using MATLAB software with real ship parameters of 6 meters length USV.Keywords: dynamic and static obstacle, genetic algorithm, guidance system, path planning, PID MRAC, sliding curve, USV. 
Optimization Approach of the Vehicle Routing Problem with Packing Constraints Using Genetic Algorithm Nurlita Gamayanti; Yusuf Bilfaqih; Rusdhianto EAK; M Yasya BU
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 2 (2017): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i2.27

Abstract

Vehicle Routing Problem is an issue in item delivery from depot to its customers using several vehicles which have limited capacity with a purpose to minimize transportation cost. The packing constraints exist because the vehicles which are usually used in item delivery have rectangular-box shaped container. Also, the items are commonly in shape of rectangular-box. Therefore, packing or loading method is needed so that containers could load all of the items without causing damage and could ease unloading process. The purpose of this final project is to develop a model and algorithm using metaheuristics method, especially genetics algorithm in order to minimize total delivery distance. A hybrid genetics algorithm and bottom-left fill algorithm also take place to solve the packing process. This algorithm delivered average solution 0.08% worse than ant colony optimization, but had 2.93% better solution than tabu search. Keywords: Routing, Optimization, Genetics Algorithm, Packing, Bottom-Left Fill
Optimization of Vehicle Routing Problem with Tight Time Windows, Short travel time and Re-used Vehicles (VRPTSR) for Aircraft Refueling in Airport Using Ant Colony Optimization Algorithm Nurlita Gamayanti; Mochammad Sahal; Adi Wibisono
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 2, No 1 (2018): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v2.i1.40

Abstract

Scheduling in aircraft refueling has an important role in aviation. Scheduling of aircraft refueling is called Airport Ground Service Scheduling (AGSS) that can be formulated as Vehicle Routing Problem with Tight time windows, Short travel time and Re-used Vehicles (VRPTSR) This research is focusing in scheduling design for aircraft refueling with refueller truck in Juanda Airport, Surabaya, so minimum amount of truck will be used using Ant Colony optimization. The result shows that Ant Colony optimization could do scheduling in refueling well so minimum amount of truck will be used. Keywords: Scheduling, Vehicle Routing Problem with Tight time windows, Short travel time and Re-used Vehicles,  Ant Colony Optimization
Analysis and Dynamic Routing Implementation of Hierarcical Healthcare Referral System Khairurizal Alfathdyanto; Abdullah Alkaff; Nurlita Gamayanti
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 1 (2017): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i1.5

Abstract

Hierarchical Healthcare Referral System (HHRS) is implemented by National Insurance Providing Agency (BPJS) as part of the healthcare insurance policies. Patients who want to get health insurance in a hospital should get a referral from the community health center in which they are registered. Congestion of patients happens in certain hospital as there is no policy implemented to govern the referral system. In this paper, HHRS is modeled as a network of queuing system and is analyzed for its queue performances. Analysis of queuing network performances shows the influence patient preferences to buildup congestion of patients in hospitals. Referral is then controlled by means of dynamic routing with considering patient preferences. Estimation of arrival rate is done with hypercube queuing theory which concerns user preference. Simulation shows that patient preferences affect the arrival rate at each hospital, the application of dynamic routing can reduce the maximum utility and reduce the average waiting time, prioritization of patients improve dynamic routing performance on systems with a high workload.Keywords: dynamic routing; hierarchical healthcare referral system; patient priority; queueing networks;
Metaheuristics for The Solution of Dynamic Vehicle Routing Problem With Time Windows (DVRPTW) With Travel Time Variable Nurlita Gamayanti; Abdullah Alkaff; Ahmad Rusdiansyah
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 1 (2017): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i1.13

Abstract

This research is focusing on the development of metaheuristic algorithm to solve Dynamic Vehicle Routing Problem With Time Windows (DVRPTW) for the service provider of Inter-city Courier. The algorithm is divided into two stages which is static stage and dynamic stage. In the static stage, modified Ant Colony System is developed and in the dynamic stage, Insertion Heuristic is developed. In DVRPTW, vehicle’s routes are raised dynamically based on real time information, for example the reception of new order. To test the performances of the developed metaheuristic algorithm, the author compares the developed algorithm with the nearest neighbor algorithm and with the combination between the nearest neighbor and insertion heuristics algorithm. Experiment is done using Chen’s standard data test. The developed metaheuristic algorithm was applied on the network data of the roads in Surabaya, where the routes generated not only determine the order that the consumer must visit but also determine the routes that must be passed. After the experiment, the author conclude that the developed algorithm generates a better travel time total than the nearest neighbor and the combination between the nearest neighbor and insertion heuristics and can also generate route dynamically to respond to the new order well. Keywords: Inter-City Courier, Dynamic Vehicle Routing Problem dengan Time Window (DVRPTW), Ant Colony System, Insertion Heuristics
Modeling and Control Unmanned Surface Vehicle (USV) with Hybrid Drivetrain Muhammad Arieb Salam; Rusdhianto Effendi Abdul Kadir; Nurlita Gamayanti
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 3, No 2 (2019): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v3.i2.86

Abstract

With the rapid development of unmanned surface vehicle (USV), the development of hybrid electric vehicles on USV is a technology that has a very important role to overcome the problem of how long the vehicle can be used. In hybrid electric vehicles (HEV), the main components consist of generators, electric motors, and batteries. Modeling component is intended to design models that fit on unmanned surface vehicle and represent the state of USV with hybrid drivetrain. This paper focuses on modeling USV with hybrid drivetrain. This vehicle uses a series configuration so that the generator act as a power generating system. The power system on USV was chosen using hybrid sources of DC generator and lithium-ion battery pack. The optimal size of DC generator and battery pack are very important to ensure that USV can work for a long period of time. This paper describes the simple characteristics of a DC generator with a PI controller and gain-scheduling PI controller which is accurate in generating 380V output voltage according to the initial plan to be built. We also described the model of permanent magnet dc motor as a driver in USV and described simulation about 200Ah 36V lithium-ion batteries. The development of this model will be represented in MATLAB/Simulink.Keywords: hybrid drivetrain, hybrid electric vehicle, period of time, unmanned surface vehicle. 
Co-Authors Abdullah Alkaff Adi Wibisono Ahmad Rusdiansyah Aulia Siti Aisjah Fian Ilham Pratama Hudaibiy Hibban Josaphat Pramudijanto Karim, Amien Khairurizal Alfathdyanto M Yasya BU Mangatas, Randi Meilinda Ayundyahrini Mileanasari, Fadhilah Mochammad Sahal Muhammad Arieb Salam Putra, Farid Rafli Rusdhianto EAK Rusdhianto Effendi Abdul Kadir Rusdhianto Effendie Abdul kadir Rusdhianto Effendie Abdul Kadir Sahal, Mochamad Sahal, Mochammad Said, Zaidan Adenin Syamsul Arifin Tutug Dhanardono Yaumar Yaumar, Yaumar Yusuf Bilfaqih Zulkifli Hidayat