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Eko Prasetyo
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JEECS (Journal of Electrical Engineering and Computer Sciences)
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 420 Documents
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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.151

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.152

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.153

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.154

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.155

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.156

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.157

Abstract

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.
Prediction for Total Number of Lab Participants by Fuzzy Time Series Method (case Study: Information Engineering of Bhayangkara Surabaya University ) Febriardi Mahendra; Rifki Fahrial Zainal; Syariful Alim
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.158

Abstract

Forecasting is a way to estimate a future value with using past data. One method of forecasting is the fuzzy methodtime series. The purpose of this study is to predict the number of students practitioners follow Department ofInformatics University Bhayangkara Surabaya by using fuzzy method time series. The created app can be used topredict the next 1 year. If the actual data in the year predicted inputted, the application can predict the next yearagain. The prediction error rate is calculated using Mean Absolute Percentage Error (MAPE). From the test resultsin predicting the number of students followers 7 courses Practicum Informatics Engineering Bhayangkara Universityof Surabaya in 2010-2012 using the method proposed in this thesis for practicum PTI obtained MAPE value of20.50%, Practical ANP obtained MAPE value of 0.50%, Network Computer practicum obtained MAPE value at8.50%, practicum Database obtained MAPE value of 0.50%,Managemen Network Computer practicum obtainedMAPE value of 14.50%, practicum PKG obtained MAPE value of 0.84% and practicum PBO obtained MAPE valueof 0.21%. Based on the results of testing the data it can be concluded that the fuzzy time series method when used onmore data many, it will get the accuracy of better and precise forecasting values.
Prayer Time Reminder and Mobile Phone Jammer for Mosque Based on Raspberry PI Wahyu Aulia Nurwicaksana; Septyana Riskitasari; Supriatna Adhisuwignjo
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 1 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i1.159

Abstract

Prayer time reminder based on raspberry pi with LCD TV as a display that not only can be set according to locationbased on GPS coordinates, but also contain information in the form of picture, text, video, etc. This is much betterthan just simple words placed on dot matrix or running text as it is today. Display design can be fully customized asper needed, it can be accommodated because the system based on raspberry pi mini PC. The method used for thisresearch is by conducting literature studies and field studies that are necessary for system design and manufacture.This system had several components involve include raspberry pi, signal jammer, air freshner, and LCD TV. Thisprayer time reminder display information of mosque name, address, clock, prayer schedule based on GPS coordinate,event photo, announcement, video, and running text as per installed program. This reminder also act as mobile phonesignal jammer, so there is no interference based on mobile phone signal. Jammer activated when entered prayer timeup to at least 30 minutes later. It function can also be added as air freshner which will spray as long as the jammer isactivated at 10 minute intervals.
Financial Technology (fintech) a New Transaction in Future Vieqi Rakhma Wulan
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 1 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i1.160

Abstract

The development of technology is so rapidly. The existance of technology is utilized for various business field.Telecommunication, book, film, transportation and now financial industry compete to take advantage of technology.Financial industry has long played in technology, often called with FinTech (Financial Technology). Credit cards,ATM, Bank mainframe computer are some of their products that utilize technology. The development of FinTech makea lot of start-Up glance at this field. In Indonesia, FinTech also quite developed. This research is focuse on how thepractise of FinTech in Indonesia. Where Indonesia still needs some preparation such as the mature of technology,resources, users and regulation.

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