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International Journal of Engineering Continuity
Published by Sultan Publisher
ISSN : -     EISSN : 29632390     DOI : https://doi.org/10.58291/ijec
Core Subject : Science, Engineering,
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 5 Documents
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Search results for , issue "Vol. 1 No. 1 (2022): ijec" : 5 Documents clear
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (816.588 KB) | DOI: 10.58291/ijec.v1i1.33

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1083.456 KB) | DOI: 10.58291/ijec.v1i1.36

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1157.655 KB) | DOI: 10.58291/ijec.v1i1.37

Abstract

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* Suwoyo, Heru; Fahrudin, Fahrudin
International Journal of Engineering Continuity Vol. 1 No. 1 (2022): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.198 KB) | DOI: 10.58291/ijec.v1i1.38

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (522.305 KB) | DOI: 10.58291/ijec.v1i1.39

Abstract

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.

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