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
420 Documents
<![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
|
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
|
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
|
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
|
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
|
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
|
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
|
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.]]>
<![CDATA[Optimization Techniques for Solving the Problem of Fruit Distribution ]]>
<![CDATA[Indra Dwi Permana Wicaksana]]>;
<![CDATA[Dr.Sirichai Triamlumlerd]]>
<![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
|
DOI: 10.54732/jeecs.v1i1.189
<![CDATA[Genetic algorithm is one of methods that can be used to solve complex optimization problems. One of the problems encountered by a fruit company is determine the distribution 5 types of fruits that will be sold to 5 distributors. Genetic algorithm itself is an optimization technique that is based on the evolution of living things, which in the evolution of living beings experience natural selection mechanism (including crossover and mutation) to be able to survive. In addition to the main purpose of implement genetic algorithms in this problem, the study will also try to compare with other optimization methods such as simulated annealing and Firefly Algorithm.This study also did the design and manufacture of software applications using genetic algorithms for optimization calculations provision and the distribution 5 types of fruits to 5 distributors, so it will get maximum income. However, the maximum income does not mean a good result. Because the distribution of fruit to distributors should be fair. Therefore, in this case the maximum income must be accepted by the company and distributors. If income is too high will have an impact on the company and distributor. Conversely, if income is too little will have an impact on the company and distributors. The results of this study showed that 10 times experiment using some number of generations. Genetic algorithms can generate maximum income is Rp. 136 167 000 from tenth experiment. While Simulated Annealing can generate maximum income is Rp. 141 028 000 from tenth experiment. And the Firefly Algorithm can generate maximum income is Rp. 158 844 500 from second experiment. Besides that results, the performance of Genetic Algorithm and Firefly Algorithm able to get results fast enough from the simulated annealing. It was because of the GA and FA generate many solutions, while SA is only a single solution. However, the results of the SA is good enough than the GA although it takes large iteration. FA get a very big result. And FA were able get maximum global quickly. However, these results are not suitable for use on this problem.]]>
<![CDATA[Prototype of Automatic Transfer Switch (ATS) for Solar Power Plant Based on Arduino Uno ]]>
<![CDATA[Muhammad Alfian Haris Prastya]]>;
<![CDATA[Bambang Purwahyudi]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.54732/jeecs.v8i1.1
<![CDATA[Electrical energy plays an important role in supporting daily human activities. The need for electrical energy always increases according to population growth. However, the supply of electrical energy is not proportional to population growth. To meet the demand for electrical energy, it is necessary to develop and use alternative energy such as solar energy. In this paper, the prototype of Automatic Transfer Switch (ATS) for PLN and solar power plant (SPP) is carried out so that the supply of electrical energy to the load can be distributed continuously. ATS is electromechanical equipment that operates automatically to move the source of electrical energy from the main grid (PLN) network to SPP when the PLN network occur a faults or blackout. ATS will restore the source of electrical energy from PLN automatically when the supply of electrical energy from PLN has returned to normal condition. ATS components consist of voltage and current sensors, microcontroller and relay respectively. ATS use microcontroller Arduino Uno ATmega328 type to control the main switch (relay) automatically. The test results show that ATS succeeded in moving the source of electrical energy from PLN to SPP when there is a disturbance or blackout condition and ATS will returns the source of electrical energy to PLN when conditions back to normal.]]>
<![CDATA[Decision Support System for Purchasing Speaker Monitor Home Recording Using Fuzzy Multiple Attribute Decision Making ]]>
<![CDATA[Wahyu Widodo]]>;
<![CDATA[Adhitya Pratama]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.54732/jeecs.v8i1.2
<![CDATA[Technological developments in the field of music are currently experiencing progress, including the formation of computer-based recording, namely the Digital Audio Workstation (DAW). Monitor speakers are one of the most important components of a DAW. A good selection of monitor speakers can support the quality of sound produced by a home recording or recording service provider. The many variations and specifications of monitor speakers on the market make it difficult for users to choose based on four criteria: price, response frequency, design criteria, and power output. So it is necessary to make an application that can determine recommendations for purchasing monitor speakers by applying the Fuzzy Multiple Attribute Decision Making Algorithm. The results obtained in this study show that of the five alternative monitor speakers, KRK ROKIT G4 5 has the highest alternative preference rating of 2.2,5 so it can be used as a reference monitor speaker for home recording.]]>
