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Computer Engineering and Applications Journal
Published by Universitas Sriwijaya
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.
Articles
135
Articles
Real-Time Lighting Control System with Fuzzy-Mamdani for Smart Home Application

Budianto, Dimas, Nurmaini, Siti, Tutuko, Bambang, Raflesia, Sarifah Putri

Computer Engineering and Applications Journal Vol 7 No 3 (2018)
Publisher : Universitas Sriwijaya

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Abstract

The use of pervasive computing in the context of home automation equipment will greatly facilitate life. Several building still use manual switch  to turn on or turn off the lighting system. It becomes ineffective if the house has a lot of lights, due to it sometimes forget to turn off. Hence, the real-time control system for automatic lighting processing is desirable. An automatic control system will allow to control the illumination and it will decrease the energy costs. In this paper, the Fuzzy logic system-based Mamdani style is used to adjust the intensity of the lights. Based on simple algorithm the controller board is working in a real-time condition. As a result found, the implementation is successfully to control the lighting system with good performance. Thus, the fuzzy system can be built smart home concept that facilitate the human life.

Classification Method of Hand Gestures Based on Support Vector Machine

Caesarendra, Wahyu, Irfan, Mohamad

Computer Engineering and Applications Journal Vol 7 No 3 (2018)
Publisher : Universitas Sriwijaya

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Abstract

This paper presents the EMG signal classification based on PCA and SVM method. The data is acquired from the 5 subjects and each subject perform 7 hand gestures includes the tripod, power, precision closed, finger point, mouse, hand open, and hand close. Each gesture is repeated 10 times (5 data as training data and the 5 remaining data as testing data). Each of training and testing data are processed using 16 features extraction in time–domain and reduced using principal component analysis (PCA) to obtain new set of features. Features classification using support vector machine classify new set of features from each subject result 85% - 89% percentage of training classification. Training data classification is tested using testing data of EMG signals and giving accuracy reach 80% - 86%.

Characterization of the Dolphin Ultrasonic Waves Using Wavelet Transform for Autism Therapy

Setyawan, FX Arinto, Herlinawati, Herlinawati, Murdika, Umi

Computer Engineering and Applications Journal Vol 7 No 3 (2018)
Publisher : Universitas Sriwijaya

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Abstract

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

Siregar, Ikhsan

Computer Engineering and Applications Journal Vol 7 No 3 (2018)
Publisher : Universitas Sriwijaya

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Abstract

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.

A Vector Potential Function-Based Collision Avoidance Control for Differential-Steered Robots

Pamosoaji, Anugrah K

Computer Engineering and Applications Journal Vol 7 No 3 (2018)
Publisher : Universitas Sriwijaya

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Abstract

A collision avoidance control that tracks a vector potential field-based velocity plan of a differential-steered robot is designed. Vector potential function (VPF) is a type of potential function used for motion planning. The plan resulted by the VPF is the desired velocity vector of the robot on all points in collision-free space. The problem to address in this paper is velocity tracking control in the environment of a circular obstacle. A controller is designed to track the VPF-based velocity plan. A concept of collision cone will be used to evaluate the ability of the controller to avoid collision between the robot and the obstacle. The stability of the controller is verified by using the Lyapunov stability analysis. Simulations of the controller’s performance are presented.

Swarm Intelligent in Bio-Inspired Perspective: A Summary

Latifah, Nyayu Husni, Silvia, Ade, Prihatini, Ekawati, Nurmaini, Siti, Yani, Irsyadi

Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

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Abstract

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.

Study of Molecular Docking of Chalcone Analoque Compound as Inhibitors for Liver Cancer Cells HepG2

Frimayanti, Neni, Mora, Enda, Anugrah, Rizki

Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

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Abstract

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).

Localization of Leader-Follower Robot Using Extended Kalman Filter

Nurmaini, Siti, Pangidoan, Sahat

Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

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Abstract

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.

A Distance-Reduction Trajectory Tracking Control Algorithm for a Rear-Steered AGV

Pamosoaji, Anugrah K

Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

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Abstract

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 AGV’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 AGV’s orientation. Simulations that show the performance of the proposed method is presented.

Quantitative Evaluation on Electric Motor Thermal Image for Comparison Hot Spot and Measuring Point Regions

Siti Nur Alam, Wa Ode

Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

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Abstract

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 – 3.9578 and measuring point region were in the range of 5.1182 – 5.4489.