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International Journal of Engineering Continuity

ijec
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Published by Sultan Publisher

ISSN : - EISSN : 29632390 DOI : https://doi.org/10.58291/ijec

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

The International Journal of Engineering Continuity is peer-reviewed, open access, and published twice a year online with coverage covering engineering and technology. It aims to promote novelty and contribution followed by the theory and practice of technology and engineering. The expansion of these concerns includes solutions to specific challenges of developing countries and addresses science and technology problems from a multidisciplinary perspective. Published papers will continue to have a high standard of excellence. This is ensured by having every papers examined through strict procedures by members of the international editorial board. The aim is to establish that the submitted paper meets the requirements, especially in the context of proven application-based research work.

Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)

Articles 56 Documents

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Analysis of E-commerce Growth in the Industrial Age 4.0 in Indonesia Yasep Azzery
International Journal of Engineering Continuity Vol. 1 No. 1 (2022): ijec
Publisher : Sultan Publisher

Trading transactions that were originally conventional began to change to the digital economy along with developments technology and the industrial era which is starting to enter the 4.0 era. Scheme E-commerce transactions between buyers and sellers occur through a digital platform, which is assisted by courier services. Revolution Industry 4.0 where every industrial activity will be integrated by IoT, Big data and cloud. With a SWOT analysis consisting of the four components namely Strength, Weakness, Opportunity, Threats will outline the points and analyse the growth of the world of E-commerce in the future industrial era 4.0 expected to open up new business opportunities for the younger generation in particular.

Study on UAV Based on Fused Filament Fabrication Li Zheng Yu
International Journal of Engineering Continuity Vol. 1 No. 1 (2022): ijec
Publisher : Sultan Publisher

Air Unmanned Aerial Vehicles (UAVs) have the characteristics of simple structure and convenient carrying, while quadrotor UAVs have better manoeuvrability, can achieve fixed-point hover, and have vertical takeoff and landing capabilities. Additive Manufacturing (AM) is also often referred to as 3D printing. In the past ten years, AM technology has received extensive attention. Among the seven categories of AM technologies released by the American Society for Testing and Materials, Fused Filament Fabrication (FFF) is one of the most widely used and essential processing technologies in additive manufacturing. It mainly manufactures models by extruding molten wire (such as plastics, resins, composites, etc.). First, consider the additive manufacturing of the quadrotor aerial UAV entirely through fused filament fabrication, and control the UAV's flexibility by adjusting the filling material's parameter during the additive manufacturing process. However, the increased flexibility makes it difficult to control the UAV, and the structural, aerodynamic and aeroelastic effects must be further explored.

The Role of Block Particles Swarm Optimization to Enhance The PID-WFR Algorithm Heru Suwoyo; Abdurohman Abdurohman; Yifan Li; Andi Adriansyah; Yingzhong Tian; Muhammad Hafizd Ibnu Hajar
International Journal of Engineering Continuity Vol. 1 No. 1 (2022): ijec
Publisher : Sultan Publisher

In the conventional Proportional Integral Derivation (PID) controller, the parameters are often adjusted according to the formulas and actual application. However, this empirical method will bring two disadvantages. First, testing the program takes much time and usually needs help to reach the optimal solution. Second, the PID parameters will not adapt to the new environment when the situation changes. This paper proposed a method by employing a Block Particles Swarm Optimization (BPSO) to enhance the conventional Proportional Integral Derivation (PID) algorithm to overcome the mentioned disadvantages. The genetic algorithm (GA) first optimized the PID parameters. However, its optimization time is relatively long. Then, a Block Particle Swarm Optimization (BPSO) algorithm is designed to solve the problem of long optimization time. This method was then applied to the wall-following robot problem by realistically simulating it to confirm the performance. After Compared with conventional methods, the proposed method shows a relatively stable solution.

Dubin’s Curve of RRT* Merged With A* Heru Suwoyo; Fahrudin Fahrudin
International Journal of Engineering Continuity Vol. 1 No. 1 (2022): ijec
Publisher : Sultan Publisher

One of the fundamental problems in mobile robotics is a robot path planning of the mobile robot through its environment. Path planning problem for the mobile robot with differential constraints using modified RRT (Rapidly exploring random tree) algorithm based on Dubin’s curves. the planning problem is considered as a problem of finding a feasible path between the initial and goal point in a static environment with obstacles. This process can be conducted either using local information from sensors or by emloying global a-priori known information about robot’s environment. The problem is how to generate a path from the beginning to the destination point gradually during movement using modified RRT (Rapidly exploring random tree) algorithm based on Dubin’s curves. Combining the dubin curve RRT* algorithm with A* is a new method that can calculate the entire path from the starting point of the destination before moving using global information about the map. The purpose of making the path is to make it easier for the operator to determine the path that must be traversed by the robot. The way the robot works is to read the line made by the operator using matlab based on the map, then matlab will calculate the distance of the path to be traversed using an algorithm from the star point to the goal point. Based on the simulation results that have been carried out this method is more efficient when compared to the RRT* or A* algorithms. because this algorithm can produce a path with the shortest path with a fast time to get to the destination point without crashing into obstacles. By adding a new algorithm to find a new path optimally to get a path that is close to optimal by combining and adjusting several feasible paths and also adding a searching-based algorithm, namely A* combined with Dubin Curve- RRT* is sampling based, where the A* algorithm has a function heuristic used to increase the cost and time of searching.

Performance of a Wall-Following Robot Controlled by a PID-BA using Bat Algorithm Approach Heru Suwoyo; Ferryawan Harris Kristanto
International Journal of Engineering Continuity Vol. 1 No. 1 (2022): ijec
Publisher : Sultan Publisher

A wall-following robot needs a controller that applies the closed-loop concept to move actively without hindrance. Some controllers with good capabilities can act as controllers for wall follower robots, such as PID controllers. Conceptually, this controller's good performance depends on tuning the three gains before use. Instead of giving the expected and appropriate output, wrong settings will provide inaccuracies for the controller, so applying the manual method at the tuning stage is not recommended. For this reason, PID controllers are often implemented in a system supported by appropriate optimization methods, such as Genetic Algorithm or Particle Swarm Optimization. Furthermore, different from this, in this study, the Bath Algorithm is used as an alternative optimization algorithm. Its application begins with a realistic simulation of a wall-following robot. This is done to provide the possibility to implement online PID controllers and BAs. In the end, several methods are compared to find out the performance of this type of approach. Moreover, based on the observed comparative results, the proposed method gives a better value in accumulative error and convergence speed in the PID optimization process.

Reliability Evaluation of Transformer Oil Insulation with H2O Water and Super O2 Water Contaminants Disaster Mitigation Electrical Engineering Christiono R; Iwa Garniwa; Miftahul Fikri; Andi Amar Thahara
International Journal of Engineering Continuity Vol. 1 No. 2 (2022): ijec
Publisher : Sultan Publisher

Transformer oil insulation failure is one of them that can cause water to penetrate through the mechanical acrylic cap on the OLTC (on load tap changer) which causes contaminants in the transformer insulation oil which affects the reliability of the transformer until there is damage to the transformers widely. For this reason, research was carried out to evaluate the reliability of transformer oil insulation with contaminants of H2O water and Super O2 water. This study is to evaluate the effect of water contaminants with experimental methods using BAUR Oil Tester test equipment, with H2O water and super O2 as samples of water contaminants on transformer oil insulation. According to SPLN 49-1: 1982, the standard value of breakdown voltage in insulating oil is ≥30kV/2.5mm. Then, 1ml of H2O water will be given so that a decrease in the breakdown voltage value of 31.5% is obtained and this experiment is carried out up to 10ml, which means that the more H2O is given, the value of the breakdown voltage is further away from the SPLN standard. Meanwhile, insulating oil contaminated with super O2 water obtained a breakdown voltage of 68% which means that the more super O2 water, the more the reliability of transformer oil insulation decreases, and the breakdown voltage value also decreases which adversely affects the reliability of the transformer.

Attitude Estimation of Four-Rotor UAV Based on Extended Kalman Filter Wang Miao Hui; Michael Thompson
International Journal of Engineering Continuity Vol. 1 No. 2 (2022): ijec
Publisher : Sultan Publisher

Quadrotor unmanned aerial vehicle (UAV) is a typical multi-input multi-output (MIMO), nonlinear and strong coupling underactuated system. In the working process of the system, it is necessary to perform information fusion on the attitude detected by the sensor to achieve accurate measurement of attitude angle and angular velocity. Accurate and efficient measurement of UAV attitude angle is the basis of UAV flight control. In this paper, the extended Kalman filter (EKF) algorithm is used to estimate the attitude information of the four-rotor UAV. Firstly, a four-rotor UAV simulation model is established on Simulink in Matlab, and then the attitude information of the UAV is measured and estimated. The results show that the extended Kalman filter algorithm can effectively estimate the attitude information of UAV.

A Mixed Fast-RRT*-A* To Solve the Problem of Generating Nodes near Obstacles for Optimal Paths Heru Suwoyo; Raudah Alfiani
International Journal of Engineering Continuity Vol. 1 No. 2 (2022): ijec
Publisher : Sultan Publisher

In the robot environment with static obstacles, robots designed to avoid obstacles and move from the initial position to the destination position, the consumption of the minimum value and the search for the shortest path as the current research, most of the studies are based on obstacle detection to search for more than one path planning. The path using path planning has two sampling methods based on which by working according to random nodes while searching based on using heuristics to find the path. Fast-RRT*-A* were to optimize a path with fast time intensity. From Fast-RRT* developed with improvement-RRT with optimal fast, namely fast optimal in an unreachable space from random trees introduced for speed and algorithm stability; (2) Random steering is used in expansion to solve performance problems in tight spaces; (3) Path fusion path adjustments are obtained quickly. The results of this study are in the form of a profit map comparing the three PRC algorithms* with a time of 48.6474, A* with a time of 38.7527, and FastRRT*-A* with a time of 10.1411, So these three steps make Fast- RRT*-A*.

Study on USV Cluster Formation Control and Cooperative Obstacle Avoidance Yuan Hsiang Chen; Alex Paul
International Journal of Engineering Continuity Vol. 1 No. 2 (2022): ijec
Publisher : Sultan Publisher

With the deepening of research on unmanned vehicles, research on USV (Unmanned Surface Vehicle) has gradually become extensive. In order to cope with complex Marine operations, the study of USV cluster collaborative operations has been emphasized. Therefore, this paper explores USV cluster formation and collaborative obstacle avoidance. In this paper, a formation control method of USV cluster is proposed based on the leader-follower architecture and the consistency algorithm. To solve the problem of formation cooperative obstacle avoidance, the traditional APF (APF method) is improved to avoid falling into the local optimal, and the cluster cooperative obstacle avoidance method is proposed. Finally, the simulation results show that the USV cluster formation control and obstacle avoidance methods are effective.

The Feasibility of Trajectory Controller by SS Equation of an Error Model in WMR Yang Qev; Mesho Meshach
International Journal of Engineering Continuity Vol. 1 No. 2 (2022): ijec
Publisher : Sultan Publisher

There has been an increasing amount of research on WMRs. The WMRs have lots of advantages: their mechanical system is usually simple; the whole movement mostly contains two dependent motors; and their motions in two-dimensional space are quite adaptable. At the same time, the WMRs have better power efficiency. WMRs have been studied from many points of view, such as modelling control, obstacle avoidance, localization, tip-over stability, and so on. This paper discusses the control algorithm. WMRs have nonholonomic constraints. That is, the mobile robot may not be able to reach a specific position and angle in a specific time; however, the robot can reach the target in a different motion or within a limited time. In this paper, an error model based on the WMR is introduced. The model explains the error between the actual position and the ideal or target position in the continuous motion of WMRs. The error model will be transformed into a state-space equation in order to demonstrate that the algorithm that controls the WMR`s movement is controllable. By splitting the inputs into and , the whole equation is transformed into a zero-input state-space system. Then, the errors can be minimized with the optimization of the feedback. The results show that by optimizing the time-varying feedback matrix, the error is asymptotically stable and close to zero. Therefore, by adding this control law to the controller, an approach to making mobile robots follow the planned trajectory is obtained.

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Taufik Hidayat

Contact Email ijecsultan@gmail.com

Phone -

Journal Mail Official ijecsultan@gmail.com

Editorial Address Jl. Nyi Ageng Serang, Kota Baru Keandra, Cirebon, Indonesia

Location Kab. cirebon, Jawa barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Taufik Hidayat

Contact Email
ijecsultan@gmail.com

Phone
-

Journal Mail Official
ijecsultan@gmail.com

Editorial Address
Jl. Nyi Ageng Serang, Kota Baru Keandra, Cirebon, Indonesia

Location
Kab. cirebon,

Jawa barat

INDONESIA