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ComEngApp : Computer Engineering and Applications Journal

comengapp
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Published by Universitas Sriwijaya

ISSN : 22524274 EISSN : 22525459 DOI : 10.18495

Core Subject : Science, Engineering,

Computer Science & IT Engineering

ComEngApp-Journal (Collaboration between University of Sriwijaya, Kirklareli University and IAES) is an international forum for scientists and engineers involved in all aspects of computer engineering and technology to publish high quality and refereed papers. This Journal is an open access journal that provides online publication (three times a year) of articles in all areas of the subject in computer engineering and application. ComEngApp-Journal wishes to provide good chances for academic and industry professionals to discuss recent progress in various areas of computer science and computer engineering.

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

Articles 318 Documents

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Fuzzy Logic-Ant Colony Optimization for Explorer-Follower Robot with Global Optimal Path Planning Bambang Tutuko; Siti Nurmaini; Ganesha Ogi
Computer Engineering and Applications Journal Vol 7 No 1 (2018)
Publisher : Universitas Sriwijaya

Path planning is an essential task for the mobile robot navigation. However, such a task is difficult to solve, due to the optimal path needs to be rerouted in real-time when a new obstacle appears. It produces a sub-optimal path and the robot can be trapped in local minima. To overcome the problem the Ant Colony Optimization (ACO) is combined with Fuzzy Logic Approach to make a globally optimal path. The Fuzzy-ACO algorithm is selected because the fuzzy logic has good performance in imprecision and uncertain environment and the ACO produce simple optimization with an ability to find the globally optimal path. Moreover, many optimization algorithms addressed only at the simulation level. In this research, the real experiment is conducted with the low-cost Explorer-Follower robot. The results show that the proposed algorithm, enables them to successfully identify the shortest path without collision and stack in â€œlocal minimaâ€.

A Distance-Reduction Trajectory Tracking Control Algorithm for a Rear-Steered AGV Anugrah K Pamosoaji
Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

This paper presents a Lyapunov-based switched trajectory tracking control design for a rear-steered automated guided AGV (AGV). Given a moving reference whose position and orientation have to be tracked by the AGV, the main objective of the controller is to reduce AGVâ€™s distance from the reference while adjusting its orientation. The distance reduction issue is important, especially in huge warehouses operating a group of AGVs, since the rate of AGV-to-reference distance reduction contributes to the possibility of AGV-to-AGV collision. A set of control algorithms is proposed to handle large AGVâ€™s orientation. Simulations that show the performance of the proposed method is presented.

Localization of Leader-Follower Robot Using Extended Kalman Filter Siti Nurmaini; Sahat Pangidoan
Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

Non-holonomic leader-follower robot must be capable to find its own position in order to be able to navigating autonomously in the environment this problem is known as localization. A common way to estimate the robot pose by using odometer. However, odometry measurement may cause inaccurate result due to the wheel slippage or other small noise sources. In this research, the Extended Kalman Filter (EKF) is proposed to minimize the error or the inaccuracy caused by the odometry measurement. The EKF algorithm works by fusing odometry and landmark information to produce a better estimation. A better estimation acknowledged whenever the estimated position lies close to the actual path, which represents a system without noise. Another experiment is conducted to observe the influence of numbers of landmark to the estimated position. The results show that the EKF technique is effective to estimate the leader pose and orientation pose with small error and the follower has the ability traverse close to leader based-on the actual path.

Swarm Intelligent in Bio-Inspired Perspective: A Summary Nyayu Husni Latifah; Ade Silvia; Ekawati Prihatini; Siti Nurmaini; Irsyadi Yani
Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

This paper summarizes the research performed in the field of swarm intelligent in recent years. The classification of swarm intelligence based on behavior is introduced. The principles of each behaviors, i.e. foraging, aggregating, gathering, preying, echolocation, growth, mating, clustering, climbing, brooding, herding, and jumping are described. 3 algorithms commonly used in swarm intelligent are discussed. At the end of summary, the applications of the SI algorithms are presented.

Detection of Vessel on UAV based on Segmentation Using Edge Based Dilation Muhammad Khaerul Naim Mursalim; Noor Falih
Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

UAV usually is used in military field for reconnaissance, surveillance, and assault. To detect a moving object in real-time like vessel, there are complex processes than to detect the object that does not moving. There are some issues that faced in detection process of moving object in UAV, called constraint uncertainty factor (UCF) such as environment, type of object, illumination, camera of UAV, and motion. One of the practical problems that become concern of researchers in the past few years is motion analysis. Motion of an object in each frame carries a lot of information about the pixels of moving objects which has an important role as the image descriptor. In this paper, we use SUED (Segmentation using edge-based dilation) algorithm to detect vessel. The concept of the SUED algorithm is combining the frame difference and segmentation process to obtain optimal results. This research showed that the SUED method having problem to detect the vessel even though we combine it with sobel operator. using the combination of wavelet and Sobel operator on the detection of edges obtained increasing in the number of DR about 3%, but then FAR also increased from 41.23% to 52.09%.

Quantitative Evaluation on Electric Motor Thermal Image for Comparison Hot Spot and Measuring Point Regions Wa Ode Siti Nur Alam; Sahabuddin Hay; St Nawal Jaya
Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

Inspection of the condition on industrial equipment becomes an urgent matter for industry. Infrared thermography inspection provides enormous benefits in preventive and predictive maintenance routines, especially for critical electrical equipment to prevent sudden damage to the equipment when the production process is underway, insofar that it impacts on the process. The result of inspection is in the form of thermal image which depicts the temperature of the electrical equipment. In general, thermal image evaluation is still analyzed manually by relying on visual reading by technicians. This would allow for errors in evaluating the image. Thus, this study used thermal images as the results of electric motor inspections, which are in hot spot and measuring point regions. Furthermore, this study aims to quantify the overheating resulted in electric motor by comparing those two regions using color entropy by Graphical User Interface (GUI) MATLAB. The study stages comprised of: zooming and object (region) cropping on color thermal image, color image histogram, calculating of color entropy (red, green, blue), and calculating of the color entropy average. The result of study on ten electric motor thermal images showed that the color entropy is higher in the measuring point region than the color entropy in the hot spot region. The average of color entropy in hot spot region were in the range of 2.9497 â€“ 3.9578 and measuring point region were in the range of 5.1182 â€“ 5.4489.

Study of Molecular Docking of Chalcone Analoque Compound as Inhibitors for Liver Cancer Cells HepG2 Neni Frimayanti; Enda Mora; Rizki Anugrah
Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

Molecular docking study using chalcone analogue compounds with proteins target from modeling crystallographic structure of Tyrosine kinase enzymes with code 1T46 was carried out with the aid of a computer using the AutoDock Vina program. The aim this study to determine the activity of 5 chalcone analogue compounds obtained from previous studies and 3 chalcone analogues which were modified as inhibitors of liver cancer using 5-fluorouracil as a positive control. Based on the docking results, it has been carried out and shown those compounds 1, 2, and 3 have the potential as the active inhibitors againts HepG2 liver cancer with a successive affinity of -10.1 kcal/mol, -9.7 kcal/mol, and - 9.6 kcal/mol, respectively. For the modified chalcone analogue compounds, compound 8 has the best results with an affinity value of -8.3 kcal/mol and this compound also has six amino acid residues which are the same as 5-flourouracyl (i.e. positive control).

Characterization of the Dolphin Ultrasonic Waves Using Wavelet Transform for Autism Therapy Herlinawati Herlinawati; Umi Murdika; FX Arinto Setyawan
Computer Engineering and Applications Journal Vol 7 No 3 (2018)
Publisher : Universitas Sriwijaya

Autism is a neurobiological development disorder experienced by a person from birth or toddlers. Autistic sufferers have difficulty in forming social interaction, communicating, emotional, sensory and motor disturbances as well as slow or abnormal mental development. Therefore, people with autism will be isolated from normal human beings and enter the world of repetitive, activities and obsessive interests. Autism therapy using dolphins that produce ultrasonic waves with a certain frequency can align the function of motor and sensory nerves of patients with autistic. A direct therapy using dolphins requires a special time and a cost is quite expensive for once therapy. This research proposes autism therapy with artificial dolphin ultrasonic waves based on signal characterization issued by dolphins. The main difficulty in this characterization is to eliminate the unwanted signals (noise) from the desired signal when recording the signal issued by the dolphins. Noise filtering (denoising) is done using wavelet transform. This research proposes a model of a dolphin ultrasonic wave characterization using wavelet transformation by determining decomposition and threshold levels to obtain the best signal quality for autism therapy. The effectiveness of the proposed method is measured using the SNR parameter. The results showed that the level of decomposition 5 and hard threshold gave the highest SNR value compared to the others.

Determination of Optimal Production Number by Considering the Use of Raw Materials Using Goal Programming Approach Ikhsan Siregar
Computer Engineering and Applications Journal Vol 7 No 3 (2018)
Publisher : Universitas Sriwijaya

The company produces PVC pipes in Medan city is experiencing problems in the form of a higher number of requests compared to the production number. This is because the company does not have a good production plan which is the results in not meeting consumer demand. For this reason, a good and integrated production planning is needed by using the goal programming method. Production planning carried out with goal programming aims to maximize company profits. The results shows that by using the goal programming method, the optimal production number was obtained at each type of 2-inch ECO JIS D pipe products of 42851 units, 3-inch ECO JIS D pipe products of 54445 units and 4 inches of ECO JIS D pipe products 24480 units. In addition, by using this method the company profits about Rp. 446,620,100 is greater than the actual method applied by the company.

Deep Neural Network Structure to Improve Individual Performance based Author Classification Firdaus, Firdaus
Computer Engineering and Applications Journal Vol 8 No 1 (2019)
Publisher : Universitas Sriwijaya

This paper proposed an improved method for author name disambiguation problem, both homonym and synonym. The data prepared is the distance data of each pair of author’s attributes, Levenshtein distance are used. Using Deep Neural Networks, we found large gains on performance. The result shows that level of accuracy is 99.6% with a low number of hidden layers

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Contact Name
Siti Nurmaini

Contact Email
comengappjournal@unsri.ac.id

Phone
+6285268048092

Journal Mail Official
comengappjournal@unsri.ac.id

Editorial Address
Jurusan Sistem Komputer, Fakultas Ilmu Komputer, Universtas Sriwijaya, KampusUnsri Bukit Besar, Palembang

Location
Kab. ogan ilir,

Sumatera selatan

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Siti Nurmaini

Contact Email comengappjournal@unsri.ac.id

Phone +6285268048092

Journal Mail Official comengappjournal@unsri.ac.id

Editorial Address Jurusan Sistem Komputer, Fakultas Ilmu Komputer, Universtas Sriwijaya, KampusUnsri Bukit Besar, Palembang

Location Kab. ogan ilir, Sumatera selatan INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Siti Nurmaini

Contact Email
comengappjournal@unsri.ac.id

Phone
+6285268048092

Journal Mail Official
comengappjournal@unsri.ac.id

Editorial Address
Jurusan Sistem Komputer, Fakultas Ilmu Komputer, Universtas Sriwijaya, KampusUnsri Bukit Besar, Palembang

Location
Kab. ogan ilir,

Sumatera selatan

INDONESIA