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JEECS (Journal of Electrical Engineering and Computer Sciences)

jeecs
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Published by Universitas Bhayangkara Surabaya

ISSN : 25280260 EISSN : 25795392 DOI : https://doi.org/10.54732/jeecs

Core Subject : Science, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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.

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 201 Documents

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Recurrent Neural Network (RNN) Based Bearing Fault Classification of Induction Motor Employed in Home Water Pump System Bambang Purwahyudi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 1 (2018): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

In home appliances, the water pump is used to supply the water from a room to the other rooms. Defects of the waterpump are not distributing the water, inner stator winding short circuit, and bearing failure. In this paper, bearingfault detection of induction motor (IM) used in home water pump system is developed by using recurrent neuralnetwork (RNN) method. It is difficult to detect fault bearing of IM using a mathematical model. So that, a recurrentneural network (RNN) method is applied to solves this problem. These bearing faults classifications are based on IMstator current waveform. Bearing fault types are all normal (AN), front fault (FF), rear fault (RF), and all fault (AF).While, the detection process consist of three step. They are taking bearing fault data, features extraction, and RNNfault detection. The bearing fault data is taken from the stator currents of IM by using soundcard oscilloscopesoftware. Second step is features extraction process to obtain more bearing fault signs. In this step, stator currentsof IM is converted from time domain into frequency domain by using Fast Fourier Transform (FFT). Last stage isRNN model to clasify the bearing fault of IM. The effectiveness of proposed RNN method is clarified by using fourbearing fault types.

Delay Analysis in Zigbee Wireless Communication for Manipulated Data and Finger Clip Sensor Data Using Xbee Pro S2C Musayyanah; Pauladie Susanto; Weny Indah Kusumawati
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Wireless Personal Area Networks have battery powered, low data rate, and low cost, that have been researched invarious fields, like Xbee Pro S2C. It can build mesh network, consist of Coordinator, Router and End Device. Xbeecan perform point to point and multipoint communication. We evaluate delay performance and data loss for bothcommunication at indoor environment, to get Xbee’s successful transmission rate. This transmission sent themanipulated data and data from sensor finger clip by End Device Node as Tranmitter to Coordinator Node asReceiver. This data is sent with different interval time, 8ms for manipulated data and 500 ms for data finger clipsensor. Definition of Delay is the difference of difference of time between first data sent and first data received.From manipulated data measurement the delay of point to point is 1,17 seconds, whereas multipoint gets 1,332seconds. For delay data finger clip measurement of multipoint is 1,34 seconds. While data loss occur in multipointcommunication, for data finger clip measurement get the loss 53,33 % and 46,67% in random quartile of data, andfor manipulated data get 3,56 % loss.

Designing Inventory Information Sytem of Finished Goods for Varia Usaha Beton, Co. Ltd Emmy Wahyuningtyas
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Nowadays, the web-based information system is widely used in various fields, including at PT. Varia Usaha BetonGresik. Data Collection Inventory of finished goods needs to be done in order to know the residual of pre-printedconcrete sold and guarantee the smooth flow of goods. Therefore, it is necessary to record all revenue received fromthe realization of production (input) and delivery realization (output). The data recording aims to be easily identifiedby the overloaded goods and the goods that must be reproduced because of stockout, and to integrate data amongthe general affairs division, production division, PPIC (Production Planning Inventory Control) division to supportthe delivery process.

Study of SWOT Analysis on Academic Information System at Universitas Pattimura Ambon Atiana Sofia Kaci; Dwi Arman Prasetya; Ninik Sisharini
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

At this time, every organization try to implement the system or information technologies in order to improve theefficiency and effectiveness of in the process of business, also to be able to give the added value in the form ofcompetiteve advantage in the business competition. The application of information technologies system will behelpful if the implementation is in accordance with the goal, vision and mission of the organization to establish abusiness strategy and a strategy of the information technology system. So that it takes analysis of the many factorsthat influence the formation of a planning a strategy of the system or information technologies are able to adapt andin harmony with a strategy of business. One of the techniques in analyzing strategy is to use analysis SWOT where the analysis focusing to Strength, Weakness, Opportunity, and Threat

Forecasting for Book Classified on A Library by Using Single Exponential Smoothing (case Study : Library of Bhayangkara Surabaya University) Deddy Gita A.P; Rifki Fahrial Zainal; M Mahaputra Hidayat
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

To facilitate the addition of library collections of UBHARA libraries, in this study will provide a solution to fieldmanuals based on forecasting using MSE single exponential smoothing formula errors and RMSE errors. Data isforecast from 2012 to 2016, with the value of each field of economics, law, socio-political, and engineering. The datawill be processed through the pre-processing process before preparing the data to be forecast. In the calculationexample, the program uses data in 2012 and 2015, alpha value = 0.1 and is calculated from month 1 to month to 3months so it is estimated to 4. The result of the data obtained is borrowed book which has the highest data isEconomy. Because in every data the number of loan books looks more dominant economic data. In 2015 thecalculation shows the value of MSE error and RMSE error. The error value to determine whether the errorforecasting results is better or not. For 2015 forecast data to be displayed at the value of the error.

Forecasting Sales 3 Kg Lpg Using Single Exponential Smoothing Method Aini Nur Aini; Rani Purbaningtyas; R Dimas Adityo
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Forecasting is a very important in corporate strategy planning. Single Exponential Smoothing Method is one of thetime series forecasting methods. The purpose of this study is the number of selling period can be subsequent profitscan be sold to customers with appropriate obtained CV. Damayanti every month. This research uses selling dataobtained by selling 3kg LPG for 7 years from january 2009 until December 2016. The result of this forecasting isdone by Single Exponential Smoothing method with the result of error calculation and selected forecasting resultwhich has minimum MAE. The alpha value is the smallest MAE result = 0.9: 2534.26 from the 3kg lpg salesforecast. The alpha value used affects the results of different forecasts. Then the result of the prediction of each baseor region has a smoothing value that is setabil, up, down its value of forecasting results.

Design and Implementation of Food & Beverage Order Applications Using Multilevel Feedback Queue Method Based Android (case Study : Bonk Cafe Krian) Muchammad Ilyas; R Dimas Adityo; Rani Purbaningtyas
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

With the development of information technology that exists today everyone can perform data processing easily, canproduce an information we need accurately and save time, as well as cost. Then we need a menu applicationapplication program using smartphone technology and web based to facilitate the ordering of food and drinks atBonk Cafe Krian. With the features that exist in this application, the user can make the ordering process usingAndroid and from the order will be stored into the database server so that the ordering process will appear on themonitor the kitchen along with the cashier. This Android-based service application has a significant time differenceso that this application can save time and speed up the service process.Multilevel Feedback Queue algorithm as a method that can increase the efesiesi time and speed up serviceprocess to the customer. With this algorithm can be built an application ordering android-based food and beveragethat is light and reliable.Functionally in Results in this test requires 4 customer data with different kinds of menus that have differentorder times, scheduling results in estimated waiting time and presentation time to customers with an average of 3.25minutes. So the food and beverage system is declared feasible test and feasible to be used functionally.

Augmented Reality as Education by Using Animal Announcer Based on Android Application Ledyana; Arif Arizal; R Dimas Adityo
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

The method used in making applications Introduction This animal is the study of literature, experiment, samplingand interviews. Making animal begins with collecting data that will be created as a model using Blender softwareAugmented Reality application design using Unity software by designing a marker made using Photoshop, soundedited using Adobe Audition and animal models that have been made. The features available in this app are severaltypes of animals that are displayed in 3D with sound and animation using Augmented Reality technology. Results oftesting applications Introduction Pets can run on a variety of Android mobile devices. The normal distance that canbe detected by the camera is 6cm up to 4m with marker size 20 x 22cm. Based on that test the accuracy of readingthe average marker is 00:12 seconds every marker. Accuracy of reading marker is also given light. The lighter themarker the clearer and faster the marker. There are still many shortcomings that can be developed, such as animalsreproduce 3D objects and create animations that better, so that the application more attractive, interactive, and easyto understand.

Classification of Scout Skills Using Naive Bayes Algorithm Rizky Yudha Pramudhika; Rifki Fahrial Zainal; Rani Purbaningtyas
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

In the development of skills and skills of students Scout often finds the problem is the difficulty of developing theskills of learners caused by mistakes in determining the skills dominated by learners. How you can do it to solve thatproblem is by making a class determination or classification of areas of expertise controlled by the learner. Thisstudy aims to build a system to determine the inner class Scout skills area using Naïve Bayes algorithm for ScoutCoach to determine the area of expertise of learners. So Scout Coach can develop the skills of learners inaccordance with the areas of expertise that are owned optimally. Assessment criteria used are the values of GeneralKnowledge, Scout Knowledge, Sign Language (Password, Morse, Semaphore), Node Bond, Pioneering, and HastaKarya. All assessment criteria are used numerically. The resulting classification is the students who are included inthe class Intelligence (Intelligence), Physical (Strength), or Creativity. The results of this study is a program that canperform calculations to determine skill class scout field. The Scouting Skill Classification Program using the NaïveBayes Algorithm has been tested and its accuracy or accuracy is 100%.

Decision Support System for New Employee Placement on An Office Department by Using Saw Fuzzy (case Study: CV.Kencana Abadi) Indah Sri Rahayu; Syariful Alim; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

CV. KENCANA ABADI is a company engage for sale Castrol Oil in which there are several departments of HRD,accounting, finance & tax (tax), lubricant general manager and IT. During this time to determine the placement ofnew employees to the appropriate department still using the manual system. So needed a system needs that can be adecision support system for placement of new employees to appropriate departments that help the HRD and GA inorder to decide the right position placement for new employees. The model used in this decision support system isFuzzy Multiple Attribute Decision Making (FMADM). This SAW method is chosen because it determines the weightvalue for each attribute, followed by a ranking process that will select the best alternative from a number ofalternatives. Based on the results of testing HRD departments are eligible received Fajar Ferdhina, the test resultsof the Finance department, Accounting, Tax Budi Setyawan eligible, the results of testing IT departments eligibleGatot Nugroho, and the results of testing department Lubrican General Manager eligible Imelda Oktavia F.

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Eko Prasetyo

Contact Email
jeecs@ubhara.ac.id

Phone
+628819314737

Journal Mail Official
jeecs@ubhara.ac.id

Editorial Address
Faculty of Engineering, Universitas Bhayangkara Surabaya Jl. A. Yani 114, Surabaya

Location
Kota surabaya,

Jawa timur

INDONESIA

Abstract

Abstract

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Eko Prasetyo

Contact Email jeecs@ubhara.ac.id

Phone +628819314737

Journal Mail Official jeecs@ubhara.ac.id

Editorial Address Faculty of Engineering, Universitas Bhayangkara Surabaya Jl. A. Yani 114, Surabaya

Location Kota surabaya, Jawa timur INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Eko Prasetyo

Contact Email
jeecs@ubhara.ac.id

Phone
+628819314737

Journal Mail Official
jeecs@ubhara.ac.id

Editorial Address
Faculty of Engineering, Universitas Bhayangkara Surabaya Jl. A. Yani 114, Surabaya

Location
Kota surabaya,

Jawa timur

INDONESIA