cover
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
JEECS (Journal of Electrical Engineering and Computer Sciences)
ISSN : 25280260     EISSN : 25795392     DOI : https://doi.org/10.54732/jeecs
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
Application of Billing Pos (point of Sales) on Cloud Computing for Restaurant by Using IoT (internet of Things) Device with Data Synchronized Method in The Reporting Process R Dimas Adityo; Herti Miawarni
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (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.v3i2.130

Abstract

In this study POS (Point Of Sales) Billing System was designed and built with more affordable prices onRestaurant Taxpayers using IoT (Internet Of Thing) devices by utilizing Cloud Computing technology that cansending sales report data in realtime to the server owned by the Probolinggo Regency Financial and AssetAgency. The input from this study is data that is sent in realtime from a billing machine, from a series of tests thathave been carried out that can run smoothly, that is proven by measuring data transmission with speed inaccessing article data an average of 0.7833 seconds / data transactions compared manually. So that through thisapplication, estimates of regional revenue targets can be monitored directly.
Realtime Portable Music's Genre Classificator with The Kohonen (SOM) Methods Using Raspberry PI Wiwiet Herulambang; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (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.v3i2.131

Abstract

Music genre is one of the digital music data that is determined to classify music based on all the characterequations of each type. The characteristics in question are usually seen from the frequency of music, rhythmicstructure, instrumentation structure, and harmony content that the music has. Classification of music genres inrealtime (automatic / not manual), giving effect to the classification is no longer relative / subjective, because itis done based on predetermined parameters. In this study Raspberry Pi microcomputer is used, which is quiteconcisely used as a portable media and is quite powerful for realtime data processing. Raspberry Pi is used as asound processing unit, music genre identifier, and information on the results of the introduction of the musicgenre. This system input is in the form of music sound (realtime), while the system output is information (text)about the music genre. Whereas for the process of recognizing the music genre, the Self Organizing Maps (SOM)type Neural Neural Network (JOM) method is also used, or also known as the Kohonen ANN Network. Thefeature extraction stage uses the Music Genre Recognition by Analysis of Text (MUGRAT) method, with ninefeatures related to the spectral surface of music, and six features related to beat / rhythm of music. MelFrequency Cepstral Coefficients (MFCCs) feature extraction process was carried out as input from theclassification process using the Self Organizing Map (SOM) method. The classification results using the SOMmethod give an accuracy value of 74.75%. Accuracy of classification results using training data as many as 400pieces which are divided into 4 musical genres amounting to 74.75%.
Employee Information Payment System in Pt. Meco Inoxprima Sidoarjo (case Study: PT. Meco Inoxprima) Azis Abdul Ardiansyah; Syariful Alim; Fardanto Setyatama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (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.v3i2.132

Abstract

At present, the data and information processing requires speed and accuracy. Based on the knowledgewe are studying, to Obtain it must be supported by an Appropriate and efficient information technology andrelevant to its application. PT. Meco Inoxprima is one of the company's processing equipment and factories thatwill the make the payroll process to its employees and the make payroll report as accountability to themanagement of the company. The process of recording and calculation of Salaries applied by the company isstill less effective Because The process is done only a few through the system that causes the salary process isOften too late. In solving the problem then the authors designed a payroll information system employees. In thisdesign, the author uses the NetBeans IDE 8.2 programming language, with the database format using mysql, andthe results of the reports using iReport NetBeans IDE 8.2. The results of this study Obtained a java-basedpayroll information system employees. Information Obtained from this system are: employee self-Data related topayroll and employee salary slips.
Optimization of Raw Materials Stock Eggtray PT. Era Light Box Gresik Using Genetic Algorithm Dwiki Ashari Kusumawardhana; Wiwiet Herulambang
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (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.v3i2.133

Abstract

Obstacles that occur today in the PT. Era ray Box still use manual calculation for the stock of rawmaterials, so the impact on the delay in the department information and management company itself. In additionthe company also often lose money because the number of ordering goods is increasing and are still usingmanual calculation so that the risk of causing an invalid calculation and not achieving the target onproduction.Genetic algorithms are search techniques in computer science to find a settlement forecasts foroptimization and search problems. The results of the optimization experiments that have been carried out, theresults obtained are different by comparing the 10 iterations, 100 iterations and 1000 iterations. From theexperiments performed by the user with a genetic algorithm system in the output of raw materials Dregs S.awal2438333333 kg, Dregs Exit 3002885622 kg, 342 kg S.awal spindles, spindles Exit 1069444444 kg, 988 kgS.awal Carton, Cardboard Exit 9358 kg, obtained the best fitness value is 28679.2.
Shoes Sales Forecasting Using Autoregressive Integrated Moving Average (arima) (case Study UD.Wardana Mojokerto) Achmad Kiki Qushayri Wahyu Kusuma; Eko Prasetyo; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (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.v3i2.134

Abstract

Shoes sales is increase of day by day along with growing trend in the society. This makes shoemanufacturers demand to fulfill the customer needs. UD. Ward as one of the shoe manufacturers in Mojokertocity trying to fulfill the customer needs efficiently in order that the make sales fit with production. To predictsales of shoes used Autoregressive Integrated Moving Average (ARIMA) method. ARIMA forecasting method isone of methods that According to historical data. Before go into the forecasting stage, differentiated the salesdata per day during the year 2015-2016 ACF and PACF formula used Whose function is to Determine the valueof p and q coefficient of the which will later be used in forecasting models in every formula that is AR , MA andARMA. Result of this research shows that for the marching band category Obtained the best models that is MAwith forecasting the result at the last period of 95.6432 and MSE of 472.4514. Obtained fashion category for thebest models of forecasting that is AR with the result at the last period of 57.1872 and MSE of 304.8306. Obtainedcategory for the best wedding that is AR models with forecasting the result at the last period of 21.4206 and MSEof 118.0681.
Forecasting the Number of Foreign Tourists Who Visit to East Java Using Monte Carlo Method Syariful Alam; Syariful Alim
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (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.v3i2.135

Abstract

Indonesia has many islands and there are beautiful inland areas, interesting historical and cultural ruins,beaches, mountains, and more. Especially in the tourism sector is one of the largest industries that are veryinfluential and grow very fast. The advancement of the tourism industry in a region is very dependent on thenumber of tourists who come both domestic and foreign tourists. The large number of foreign tourists that comepush and accelerate economic growth. So that directly leads to an increase in demand for goods and services. Tomeet the needs and demands of tourists, it is necessary to predict the number of visits of foreign tourists. Onemethod that can be used in forecasting is Monte Carlo. From the results of Monte Carlo research can work well,From the stage of the prediction system implementation that has been built using the initial parameter 12 months100x simulation and delta-t = 0.001, then get sigma = 52.2650054, Mu = -0.0398. And the simulation is moreaccurate in predicting the number of foreign tourist visits in East Java, which has a small error value. To get asmaller error value is by reducing or delta-t value.
Android-Based E-Voting Application Using Universally Unique Identifier (uuid) Governor Election Bem Faculty of Engineering (case Study: Bhayangkara University Surabaya) Muhammad Ramadhan Dwiki Asmaradani; Arif Arizal; Rani Purbaningtyas
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (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.v3i2.136

Abstract

Election of the Governor and Deputy Governor of the Student Executive Board of the Faculty of Engineering(BEM FT) Bhayangkara University Surabaya is an activity where each student uses his voting rights. Theselection is done by voting with the candidate who has the most votes coming out as winners. The selection of theGovernor of UB's FT BEM is still not maximally indicated by the voter data, which is still small compared to thenumber of active students. Procedures that are still conventional with students having to go to campus to votecan be the cause. Therefore, the use of information and communication technology gave rise to the idea ofmaking an electronic voting system or commonly called Android-based E-Voting using the Universally UniqueIdentifier (UUID). E-Voting is a method of voting and vote counting in an election using a mobile phoneelectronic device. In other words, this technology makes it easy for voters in a general election to exercise theirvoting rights by using electronic and internet media. With the E-Voting, it is expected that the interest of studentsto participate in giving more votes and the sound processing process will be faster.
Study of Food Recommendations to Meet Nutritional Needs Based on Diversity of Ideal Weight Calculation Methods Ardina Anggie Christantie
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (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.v3i2.137

Abstract

At present, Indonesia faces multiple nutritional problems, namely the problem of malnutrition and overnutrition problems. Diet is the most influential thing in the state of individual nutrition. Nutrition that is notoptimal will be related to poor health. Nutritional problems in essence are public health problems, but theresponse cannot be done with medical approaches and health services alone. The purpose of this study is toconduct an in-depth analysis to determine the nutritional needs of each individual. The level of nutritionaladequacy and ideal body weight will be analyzed using the formula of Ideal Body Weight (BBI), Broca'sformula, and the formula for Body Mass Index (BMI). Daily calorie requirements will be analyzed using theEnergy Basal Metabolism (EMB) formula based on BMI, Harris Bennedict formula, and Perkeni formula.Recommendations for nutritional intake will be calculated using a formulation determined by the Ministry ofHealth of the Republic of Indonesia. The results of the analysis obtained from this study are the calculation ofnutritional status, ideal body weight, daily caloric needs, and recommendations for nutritional intake which refersto the nutritional adequacy standards of the Indonesian Ministry of Health and also recommends the amount offood to be consumed by individuals daily calories adjusted to the criteria of each individual, namely Normal (notsick), coronary heart sufferers, and people with Diabetes Mellitus.
Real Time Fishpond Monitoring to Optimize a Nursery Freshwater with Distribution Database Agung Kridoyono; Mochamad Sidqon
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.v3i1.138

Abstract

The aim of my research is to optimize a nursery freshwater by fishpond monitoring that can be displayed on desktopbase so the behavior of fish with fishpond condition can be observed how suitable fish against fishpond where anursery is affected by the place , the media and the condition. The data were drawn on monitoring is temperatureand humidity by more than one sensor taken using one microprocessor. Using temperature sensor to get datacondition in fishpond, data from fishpond is processed by microcontroller as an input and sent to desktop to displaythen distributed on database for data record in real time asynchronous serial communication between PC andmicrocontroller. Getting ideal condition is the goal of this device, because real time data communication ifsomething wrong or not suitable on media, the fishpond condition can be handled directly by fitting the volume offish or the condition of water. 28-300C is ideal temperature condition for seedling that influence the appetite of thefish. By using realtime database distribution methodology, The influence of fish quantity and nursery media can beobserved and fish behavioral can be recorded every season.
Cryptography on Audio Files Using the Blowfish Algorithm Nuniek Fahriani; Onny Kartika Waluya
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.v3i1.139

Abstract

Blowfish is a 64-bit block cipher with variable key length. The algorithm consists of two part: Key expansion anddata encryption. Allowing its use in cryptography. In general, cryptography is about constructing and analyzecommunication protocols that can block an opponent. Various aspects of information security, Such as confidentialdata, Data integrity, Authentication and non repudance Is the center of modern cryptography. This caseimplementation with encryption and decryption techniques on audio files using java programming, aims to securethe audio data contained in it can be maintained and can only be read by user who have the cryptographic key.

Filter by Year

2016 2026


Filter By Issues
All Issue Vol. 11 No. 2 (2026): December Vol. 11 No. 1 (2026): June Vol. 11 No. 1 (2026): JEECS (Journal of Electrical Engineering and Computer Sciences) - In press Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): December Vol. 10 No. 1 (2025): June Vol. 10 No. 1 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 2 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 2 (2024): December Vol. 9 No. 1 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 1 (2024): June Vol. 8 No. 2 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 2 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 1 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 2 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 1 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (2018): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 1 (2018): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 1 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) More Issue