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Eko Prasetyo
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Faculty of Engineering, Universitas Bhayangkara Surabaya Jl. A. Yani 114, Surabaya
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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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Real Time Monitoring System Eggtray Production Process PT.Sinar Era Box Gresik Muhammad Rosyid Kurniawan; Rifki Fahrial Zainal; R Dimas Adityo
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v3i1.140

Abstract

PT. Sinar Era Box Gresik does not yet have a production process information system, so that all activities of production process process have not been well accommodated, for example production data file such as raw material mixing data, HPP (Cost of Production), production cost, raw material stock, production stock. Coordinator in data entry all aspects also not terakomodir well, and also data entry is still done manually and still have to meet with aspect concerned. System design is done by modeling language DFD (Data Flow Diagram) with system testing apply black-box testing with functional testing and error handling testing. While the programming language that is in use is PHP with framework CI (Codeigniter) and using database MySQL and the final result of the design is generating. RealTime Monitoring System Production Process Eggtray PT. Sinar Era Box Gresik is very helpful because it simplifies the employees and also the owner in monitoring the production process.
Forecasting Sales Prices Appartment Using Fuzzy Tsukamoto (case Study My Tower Apartment) Ayu Purnamasari; Wiwiet Herulambang; R Dimas Adityo
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v3i1.141

Abstract

Currently apartment buildings are not foreign anymore we see let alone in the middle of the city. The price is still fairly cheap or under the price of housing makes a lot of interest to have an apartment either for personal or investment. Each developer has a strategy to attract buyers whether it increases or decreases the price of the apartment in each period or every year. The research was conducted to help the company change the price of the apartment by using method Fuzzy Tsukamoto based on input-an Inflation Value in the year to be predicted, View apartment, and Sales Price before. The results here show that for the output of the program is different from the original data, that is more expensive or the price is higher than the original data. There is an ratio of error 0.7609184% to -0.334665% or difference between Rp.200.000.000 to Rp.400,000.
Decision Support System for Selecting Tourism Object in Surabaya City Using Simple Additive Weighting Based on Android Putri Agustin Merditawati; M Mahaputra Hidayat; Rahmawati Febrifyaning Tias
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v3i1.142

Abstract

In this final project will discuss the implementation of the Decision Support System Attractions in Surabaya usingSimple Additive weighting. Issues to be taken is to obtain the best results of 50 attractions in Surabaya based on thelocation of the user to take advantage of the Android-based operating system, to make it more easier for users toaccess these applications. To obtain the value of the distance criterion, the application is using the formulaHaversine. The results of the election decision support system application attractions in Surabaya using SimpleAdditive weighting method is the obtainment of the highest values of attractions based on user location with weightsto each criterion especially distance criterion which has a weight of 0.3.
Eye Black Circle of Milkfish Segmentation on Hsv Color Space Eko Prasetyo
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v3i1.143

Abstract

One of the popular fish consumed by the people is milkfish. The freshness of milkfish can be observed from eyecondition. maka segmentasi lingkatan hitam mata ikan bandeng penting dilakukan we conduct experiment in milkfishimage segmentation to get region of interest in eye circle. Kami mengusulkan frame work untuk segmentasilingkaran mata ikan bandeng menggunakan filter spasial pada komponen Hue dan Value ruang warna HSV. Byusing 10 milikfish images, we get segmentation performance with average of precision 84.04%. But we get badperformance in recall, because achieve recall 43.08%.
Inventory Management System Using QR Code on Android a Case Study in Computer Engineering Department Renza Ilhami Rizqi; Nurul Azizah Rohma; Dr. Kittiwan Nimkerdphol
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v3i1.144

Abstract

Inventory management is the practice overseeing and controlling of the ordering, storage and use of components thata company uses in the production of the items it sells. Inventory management has been used as a decision-making incountless firms and has been extensively studied in the academic and corporate spheres. The purposes of inventorysystem are to know the details of the items including code, name, condition, location of items and the year ofpurchase. It is also to make easy for manage the item. Usually, creating inventory list can be done two ways eithermanually or computerized. Manually inventorying is usually written data with handwriting on the data books. It hasmany disadvantages. One of them is when the admin staff input the data, it is prone to be typographical errors. Herein the Computer Engineering Department in Rajamangala University of Technology Thanyaburi (RMUTT) theinventory management still using manual process for inventorying and collect the data of an item. This inventorymanagement system will help the process inventorying using web-based application and also mobile application forcollecting data information. Quick Response (QR) Code technology as a unique tagging solution for each item thatstore information from the server through the local network. The implementation of this system for InventoryManagement System could be a solution for manage inventorying process and stored information of inventorythrough QR Code.
Instant Cement Forming Using Holt-Winter (case Study: CV Trijaya Abadi) Devit Hari Firmanto; Eko Prasetyo; Mas Nurul Hamidah
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v3i1.145

Abstract

CV.Trijaya Abadi is an industry that produces cement, and make various innovations by producing instant cement. Itis often the case with errors in doing the forecasting is if the amount of production is produced too much while thedemand is small it will cause losses for the company as well as vice versa if the demand a lot while the productionwill be a bit disappointment of consumers resulting in the company losing konsakuya. know the amount of instantcement production in the next period. The method used for forecasting in this research is Exponential SmoothingHolt-Winters method with multiplyative seasonal method and additive seasonal method. The alpha, beta and gammavalues used are 0.9, 0.1, and 0.1. With the value of these parameters are able to produce the value of MSEamounting to 52347.63 and MAPE value of 6,649 is forecasting in 2016 for multiplyative seasonal method. Foradditive seasonal method, the value of MSE is 50560.88 and MAPE value of 6,619 forecasting in 2016. So it isconcluded that it is more accurate to use the Holt-Winters additive seasonal method in 2016 forecasting of instantcement.
Clasification System of Library Book Based on Similarity of The Book Title Using K-Means Method (case Study Library of Bhayangkara Surabaya) Arif Mardi Waluyo; Eko Prasetyo; Arif Arizal
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v3i1.146

Abstract

In the grouping of book data in the library of Universitas Bhayangkara Surabaya at this time, the grouping is stillbased on the title and the existing field. So that resulted in the laying of some books whose title is not in accordancewith the field of place. To facilitate the grouping of library books, in this research will provide a solution by doingthe grouping of books based on the similarity of the title using K-Means method with the distance dissmilarity. Thedata are grouped a number of 500 titles in the library of Bhayangkara University Surabaya. The data will beprocessed through the Pre-processing process first of each book title by using the Information Retrieval Systemwhich results in the basic word. The basic word that will be used as a feature in the process of grouping so that canbe known similarity. The result of the research is that it can be concluded that the application of Library BookGrouping System Based on Similarity of Book Title Using K-Means Method (Case Study of Bhayangkara LibrarySurabaya) is suitable for data that has been specified on each title. And some processes there are clusters that arealways consistent in putting the book data in accordance with the similarity. Of all test results that have the bestsilhouette value is on using the value of K = 7, ie in the process to 1 with the value of silhouette = 0.2221
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v3i1.148

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.149

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.150

Abstract

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.

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