JEECS (Journal of Electrical Engineering and Computer Sciences)
We aims to promote high-quality Electrical Engineering and Computer Sciences research among academics and practitioners alike, including power system, electrical engineering, industry automation, mechatronics, computer sciences, informatics, and information system. This journal is dedicated for the author or researcher who has focused in the field of technology and intending on publication and sharing knowledge the novel technology include, but are not limited to, the following topics: Data Mining, Informatics algorithm methodology, Mobile Computing, Automation, Power, Green Technology, Advanced Computer Networks, Image Processing, Computer Vision, Robotics Technology, Decision Support System, Big Data, Data Sciences, Internet of Things, Network Security, Virtual Reality, etc.
Articles
201 Documents
<![CDATA[Forecasting the Number of Brick Production Using the Method of Exponential Smoothing Holt-Winter (case Study: PT Sik Krian) ]]>
<![CDATA[Afif Nuzia Al-Asadi]]>;
<![CDATA[Eko Prasetyo]]>;
<![CDATA[Rifki Fahrial Zainal]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (436.953 KB)
|
DOI: 10.54732/jeecs.v1i2.178
<![CDATA[PT. SIK is an industry that produces a light brick type of brick. At a certain period, some companies are rising and the decline in demand which is quite significant. This research aims to know the condition of the company to overcome the overstock in the warehouse. The methods used to conduct forecasting in this research is a method of Exponential Smoothing Holt-Winter with seasonal multiplicative component and the addition of seasonal. The value of alpha, beta and gamma used is 0.6, 0.1, and0.5. With the value of the parameter is capable of producing the best MSE values with the value 1 in forecasting the year 2011 in October for seasonal multiplicative component, and the value of 0.006 in MAPE and the same month. For the addition of a seasonal best MSE values obtained on forecasting in 2013 in February with the value and worth of 5.016 MSE MAPE 0.013. The results of this research, the company was able to reduce the buildup of inventory and maximizing production for the coming period without having to fear a shortage of stock and overstocking.]]>
<![CDATA[K- Support Vector Nearest Neighbor: Classification Method, Data Reduction, and Performance Comparison ]]>
<![CDATA[Eko Prasetyo]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (199.984 KB)
|
DOI: 10.54732/jeecs.v1i1.180
<![CDATA[The use of data mining in the past 2 decades in harnessing the data sets become important. This is due to the information given outcome becomes very important, but the big problem are the obstacles data mining task is a very large amount of data. A very large number indeed specificity of data mining in extracting information, but the amount of too big data also cause decrease the performance. On the issue of classification, data that are not positioned on the decision boundary becomes less useful and make classification method is not efficient. K-Nearest Neighbor Support Vector present to answer the problem that data is normally owned by very large data. K-SVNN able to reduce the amount of very large data with good accuracy without degrading performance. Results of performance comparisons with a number of classification method also proves that K-SVNN can provide good accuracy. Among the five comparison methods, K-SVNN got in the big 3 methods. K-SVNN difference accuracy to other methods less of 0.66% on the data set Iris and 20:29% on the data set Wine.]]>
<![CDATA[Detection and Extraction of Brain Haemorrhage on The Ct-Scan Image Using Hybrid Thresholding Method ]]>
<![CDATA[Sumijan]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (934.076 KB)
|
DOI: 10.54732/jeecs.v1i1.181
<![CDATA[Brain bleeding can occur because of the outbreak of the blood vessels in the brain which culminated into haemorrhagic stroke or stroke due to bleeding. Haemorrhagic Stroke occurs when there is a burst of blood vessels result from some trigger factor. Segmentation techniques to Scanner computed tomography images (CT scan of the brain is one of the methods used by the radiologist to detect brain bleeding or congenital abnormalities that occur in the brain.This research will determine the area of the brain bleeding on each image slice CT-scan every patient, to detect and extract brain bleeding, so it can calculate the volume of the brain bleeding. The detection and extraction bleeding area of the brain is based on the hybrid thresholding method.]]>
<![CDATA[Modeling the Effect of Fertilization on Growth Pattern of Brassica Rapa Using Backpropagation Neural Network ]]>
<![CDATA[Wiwiet Herulambang]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (281.813 KB)
|
DOI: 10.54732/jeecs.v1i1.182
<![CDATA[Application that able to predict plant growth patterns as function of nutrients obtained from fertilization pattern is very useful in agriculture, especially for research .It can be realized with support of biological sciences, mathematics, and computer technology, which popularly called by bioinformatics.The purpose of this research was to design and build a simulation system of fertilization effect on plants growth patterns with Backpropagation Neural Network. As the object of research is green mustard (Brassica Rapa). The parameters of growth modeling arethe number of seedling leaves and the length of leaves as function of changes in fertilizing elements (micro and macro) which are applied. First, green mustard are planted in the test field and then some fertilizing variations are applied for each plant. Fertilizing variations marked by variations of micro and macro nutrients in the applied fertilizer. The growth of each plant is monitored and recorded, from germination until the plant is ready for harvest. Observational data of plant growth then processed by Backpropagation Neural Network into a model of green mustard growth. From the model, software system of green mustard growth simulation as the function of fertilizing variations is built. The system testing is done using data obtained from direct observations at the plant field. Fertilization effects on green mustard growth patterns is evident in the increasing number of seedling leaves and length of leaves which indicates a reproductive improvement of the plant. Using Backpropagation Neural Network with five neuron in its hidden layer, the minimal error of the system achieved when the minimal epoch is 1000. Through experiment on several data variation of green mustard growth, the average obtained precision for NL (number of leaves) and LL (length of leaves) are 83% and 85%, respectively, which indicate that this system has achieved the expected target.]]>
<![CDATA[The Application of Restful Web Service and Json for Poultry Farm Monitoring System ]]>
<![CDATA[Hindriyanto Dwi Purnomo]]>;
<![CDATA[Dody Agung Saputro]]>;
<![CDATA[Ramos Somya]]>;
<![CDATA[Charitas Fibriani]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (347.788 KB)
|
DOI: 10.54732/jeecs.v1i1.183
<![CDATA[Partnership schema is widely applied in Indonesia poultry farm industry. In this schema, a poultry company cooperates with many breeder partners to raise their chicken. The company sends their field inspection staffs to monitor the growth of the chickens. Large number of breeders with manual process of report, handle, and monitor takes a significant amount of time and efforts. In addition, the data cannot be observed immediately by the company. A poultry farm monitoring system based on the Application Programming Interface (API) is proposed in this research. The system can be used by breeders, breeder partners and field inspection staffs to facilitate the process of reporting, handling and monitoring by the poultry company. The API technology is applied as a data center and a data provider. The combination of RESTful web service and JSON into the API enable the integration can be processed safely as well as simple and easy to use. The proposed system can be applied to complement or replace the existing manual processes on many poultry farms with partnership schema.]]>
<![CDATA[School Success Prediction Using Artificial Neural Network Based on Internal and External Factors ]]>
<![CDATA[M Mahaputra Hidayat]]>;
<![CDATA[Ratna Nur Tiara Shanty]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (542.852 KB)
|
DOI: 10.54732/jeecs.v1i1.184
<![CDATA[In relation with improving the quality of education, various attempts have been made: an increase teachers quality, complete educational facilities, increased allocation of funds for education and educational evaluation of the implementation of sustainable activities. Once observed, it seems clear that the problem is serious in improving the quality of education is the low quality of education at all educational levels, especially schools. Evaluation aims to assess the failure of schools achieving good standards of competence in effort schools improve the quality of education. Levels of school failure to improve the quality of education is influenced by several factors both from the students and of teachers and the school itself. With artificial neural network (ANN), we expect that we will be able to predict school failure which is related to several internal and external factors. So that, we can obtain valid information about some attributes which are affecting to the school failure. Then, some actions can be taken for preventing school failure as the effort to increase those school’s educational quality. From the experimental results yield the number of hidden nodes configuration 10, the value of learning rate 0.15, momentum 0.6 and the tolerance value of MSE 0.0013118%.]]>
<![CDATA[The Identification of Fish Eyes Imagery to Determine the Quality of Fish Meat Based on Fuzzy Logic Method ]]>
<![CDATA[Endi Permata]]>;
<![CDATA[Ri Munarto]]>;
<![CDATA[Reza Zembar Yupri]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (500.44 KB)
|
DOI: 10.54732/jeecs.v1i1.185
<![CDATA[The quality of sorting fish meat is required before processing because the fish whose quality is bad will affect the quality of the good fish if processed simultaneously. The classification process manually not only need a long time but also produces the inconsistent product quality. In this research, the selection of fish as an object because the fish which sold in modern and traditional market is dies, so that people do not know the quality of the fish that will be purchased. Because of that, this research tries to classification of the fish meat freshness automatically using HSV color features and Grayscale with classification method using fuzzy logic. Using fuzzy logic method is because it was considered to be able to resolve the problems are not linier. The fish image of the results of image acquisition will go through the process of preprocessing is a Contrast stretching processes, cropping and scaling, after that the fish eyes imagery will be through the feature extraction process, features that is used is a HSV color feature and Grayscale. The final process is classification using Fuzzy Logic method. The classification of the freshness of fish meat are fresh fish, fish that good enough and the fish in a bad condition are using samples of each 50 fish and using 3 types of fish. That are kembung, tongkol, and bandeng fish. The parts of fish that researched is eye. On the fish eye, the eye color is changes when fish is in a bad condition. From the results of the classification program using the GUI method can be determined the classification result process with accuracy of the overall system in kembung fish is 93%, bandeng fish is 89%, and tongkol fish is 88%. The classification result of the freshness of fish meat using a fish eye imagery based on fuzzy logic method has a good result.]]>
<![CDATA[Availability Rice Procurement Policy Scenarios to Maintain Price Stability ]]>
<![CDATA[Joko Suprianto]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (311.199 KB)
|
DOI: 10.54732/jeecs.v1i1.186
<![CDATA[East Java province with a population of more than 37 million people, mostly consume rice as a staple food. SUSENAS data in 2010 showed that the people of East Java rice consumption stood at 125kg / capita / year. With a population growth rate of 0.76% per year, the population of East Java increased as much as 3,659 lives each year. Addition of the population of these consequences on additional ballooning rice requirement of 457 409 tonnes / year. In this study, using the approach of dynamic system models with three scenarios, the Land Intensification scenario 1, scenario 2 Ekstensifiaksi land, and scenario 3 Combined Intensification and extensification Land. The most optimal results from the third scenario is the scenario 3 (combined intensification and extensification Land), whereas in the scenario 3 rice production at the beginning of the simulation in 2012 reached 6.5359 million tons and production at the end of the simulation in 2021 reached 7.61593 million tonnes ( the most optimal). While the price of rice at the beginning of the simulation in 2012 reached Rp 7,153 and the price of rice at the end of the simulation in 2021 reached Rp 13.213.Pada scenario 3 rice prices are relatively stable from year 2012 to 2021 between Rp 7,153 to Rp 13 213.Rice,]]>
<![CDATA[Business Process Analysis of Academic System Using Business Process Modeling Notation at STMIK STIKOM Indonesia ]]>
<![CDATA[Dewa Made Adi Baskara Joni]]>;
<![CDATA[Brigida Arie Minartiningtyas]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (459.68 KB)
|
DOI: 10.54732/jeecs.v1i1.187
<![CDATA[STMIK STIKOM Indonesia has implemented the standards set by the government in the management of higher education, one of which is the international standard ISO-9001. In these standards, procedures contained in the management of higher education, limited access to and understanding of the content of university management procedures as well as the form of text-based procedure was judged to be the cause of incomprehension stakeholders resulting in the ineffectiveness of the established procedure. One attempt to solve this problem is to construct a form of media that can be accessed and understood by stakeholders. The media can be a graphical representation in the form of a diagram that can tell the content of the procedure. Based on the results of the analysis showed that the procedure has not been carried out properly so it needs to be improved overall business processes. Modeling using BPMN be the perfect solution to represent a business process flow.]]>
<![CDATA[Basic VLC Infrastructure Design Using Two Color Diffuse LED as Receiver and Color Intensity Modulation ]]>
<![CDATA[Herti Miawarni]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (732.043 KB)
|
DOI: 10.54732/jeecs.v1i1.188
<![CDATA[VLC technology continuously developed until now. Development ranging from modulation system, basic infrastructure, up to complex networks. In this research conducted an experiment in terms of basic infrastructure which Diffuse LED is used as the main component on VLC receiver. The purpose of this research is to design and then analyze in an effort to build the basic infrastructure of VLC. Experiment performed on a simple modulation system for easy analysis process. For more simplicity, Color Intensity Modulation using only two colors: red and blue to present the logic high and low. From trials that have been done, Diffuse LED that used as the main component in the Receiver Unit has performed well in the period of the signal greater than or equal to 20 uS. In these conditions, BER reaches 0%. So in other words the shortest period of signal reaches a maximum of 20 uS and maximum bit rate of 100 Kbps. And then observations using the oscilloscope showed that in the same signal period, information signal shape that has been received are similar with the shape of signal that has been sent. Overall results, VLC system that has been designed and analyzed suitable for low bit rate communication.]]>
