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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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Online Based Academic Information System (case Study: SD. Hidayatur Rohman Asemrowo Surabaya) Rifki Fahrial Zainal; Rani Purbaningtyas; Mustofa
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): 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.v4i2.110

Abstract

The influence of technology is very large, especially in the development of information. Accurate, fast, and precise information is very important for life today because information becomes a necessity in conveying something. The use of computers is one of the developments in information that is very useful because it can perform data processing, making reports and sending information remotely and in determining the potential of students. Determination of the potential is absolutely necessary by the school agency, namely the school, the guidance teacher has an important role in granting status to students. Determination of student potential requires special professional handling, because it involves the success of students in facing the examinations that will be given. Mistakes in determining students' readiness to face national exams can negatively affect the process and results of student exams themselves. So we need a method that can help minimize the impact of mistakes when determining the potential of these students, namely by grouping data techniques from the results of data mining. The need for data mining becauseof the large amount of data that can be used to produce useful information and knowledge. Naïve Bayes is a machine learning method that uses probability calculations. The use of this algorithm is considered appropriate because Naive Bayesian Classifier is one classification algorithm that is simple but has high capability and accuracy.
Forecasting Omset Printing of Printing Sales in CV Sembilan Jaya with Neural Network Method Reni Vivit Ayu Mawarti; Wiwiet Herulambang; R Dimas Adityo
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): 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.v4i2.111

Abstract

Forecasting is a process for estimating several needs in the future which includes needs in order to meet thedemand for goods and services. Neural Network Backpropagation Method is a time series forecasting method. Thepurpose of this study is to predict the turnover results in the next period obtained by CV. Nine Jaya every week. Thisstudy uses sales data obtained from the printing of food boxes, shoe boxes, watch boxes from January 2014 toDecember 2018. The results of this forecasting are done using the Neural Network method, the smallest MSE valueobtained is 0.004211 with 1000 times iteration and learning rate 0.2. The MSE value obtained meets the condition orcondition value as a good forecasting method because it is able to meet the MSE value requirement <0.1.
Forecasting the Total Sales and Benefits of Drug Using the Single Exponential Smoothing Method (case Study: Bentar Pharmacy) Sundariyah; R Dimas Adityo; Arif Arizal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): 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.v4i2.112

Abstract

Forecasting is an important thing in corporate strategy planning. The Single Exponential smoothing methodis a time series forecasting method. The purpose of the research is to predict the number of sales of Enervon C drugsand the value of profits at the Bentar Pharmacies each month. The study used sales data for 3 years from January2015 to December 2017. The chosen alpha value was 0.5 by having a MAD value of 5.029360202. Forecasting resultsare carried out by the Single Exponential Smoothing method with the smallest error calculation results. MAD valueon the number of sales of Enervon Aktive 30s with α = 0.1 forecasting results 6.9118 with MAD of 7.363601841, α =0.2 forecasting results of 6.0622 with MAD of 5.375139148, α = 0.3 forecasting results of 5.7198 with MAD of5,375139148, α = 0.4 forecasting results 5,3421 with MAD of 5,121971763, α = 0.5 forecasting results 4,9617 withMAD of 5,029360202, α = 0.6 forecasting results 4,5888 with MAD of 5,04912007 , α = 0.7 forecasting results 4.2229with MAD of 5.206054971, α = 0.8 forecasting results of 3.8533 with MAD of 5.385531046, and α = 0.9 forecastingresults of 3.456869004 with MAD of 5.599237215. And the value of drug benefits obtained from forecasting results in2017 by comparing the actual benefits and the benefits of forecasting.
Analysis of Sales Information System (case Study: Mr. Token) Agnes Fridawati; Wiwiet Herulambang; Arif Arizal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): 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.v4i2.113

Abstract

At present the marketing that is in Mr. The token is done manually which is come directly to Mr.Token tooffer the products offered. The purpose of this study the authors analyze and design a sales information system Mr.Tokens to increase sales. Appropriate title taken is the analysis of sales information systems on Mr. Token. With theoccurrence of these constraints, the author tries to analyze the database by observing the database design. The purposeof this thesis is the researcher wants to be able to analyze the database in the company Mr. Token. And from the resultsof this study the results achieved are saving time of 12.6% and increasing turnover of 19.2%
Sound Calculation Simulation System for Distribution of Chair Parliament Using Hare Quota and Sainte Lague Methods Arif Pratama; Arif Arizal; Syariful Alim
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): 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.v4i2.114

Abstract

The conversion of the ballot for the division of parliamentary seats has become one of the historical points inthe development of the democratic order in Indonesia. How not, through a plenary session, the DPR RI finally finalizesthe discussion and decision making on the Election Bill proposed by the government. Conversion of votes is one of thecrucial issues to get the word consensus in the House of Representatives, because the method of voting conversionused will greatly determine the acquisition of seats for a political party. For example, if using the quota method, aparty can get 5 seats, but it is not certain if the calculation method uses the Sainte Lague method, it could be that oneparty will get 4 to 6 seats. That is why the voting conversion method is one of the main variables of an electoral system.The method of converting votes is the procedure for calculating the results of elections to determine theacquisition of seats for political parties in representative institutions based on the results of the acquisition of validvotes of each political party participating in the election. The Hare Quota method is characterized by a calculationmethod using the Number of Voters Dividers (BPP) which divides the total number of valid voting votes by the numberof seats allocated to one particular constituency, and always has the remaining choice of votes that requirescalculation at the next stage for the remaining votes of choice / residual the chair is the Sainte Lague method (theremaining votes are voted on).
Decision Support System for The Feasibility of Giving Customer Credit Using Topsis and Saw Methods (case Study): Save Loan Cooperative CV. the Source of Prosperous Life M Mahaputra Hidayat; Mas Nurul Hamidah; Ayu Nur
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): 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.v4i2.115

Abstract

Supporting System for Deciding the Feasibility of Providing Credit to Customers with Topsis Method andSimple Additive Weighting Method in CV. Sumber Hidup Prosperous, this research is motivated by the results of acustomer who must meet the criteria determined by the cooperative to be able to get credit. In this case cooperativesare required to be able to make decisions quickly and carefully. To realize this it is necessary to have a decisionsupport system (SPK) with the Topsis method and the Simple Additive Weighting method that can solve the problemof decision making with many criteria. The results obtained from this study are the application program of the DecisionSupport System for Providing Credit to the Customer with the Topsis Method and the Simple Additive WeightingMethod in CV. The Source of Prosperous Life. The conclusions of the results of this study have shown a value that isaccurate enough to help simplify the process of creditworthiness and report generation.
Clustering for Searching Type of House Suitable for New Consumer Candidates Using K-Means Clustering Method (case Study of PT. Maxima Jaya Perkasa) Wiwiet Herulambang; Eko Prasetyo; Azziyati Nur
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): 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.v4i2.116

Abstract

For some Indonesian people, housing is one of the secondary needs, so that in choosing the right housingmust be in accordance with the wishes of consumers. With the existence of PT. Maxima Jaya Perkasa, which waspioneered since 2012, in which the data on housing sales in the company has increased rapidly each year. Then datamining analysis can be done using the K-means Clustering method. K-means Clustering is a method of clustering nonhierarchicaldata which seeks to partition existing data into two or more groups. This method partitioned the data intogroups so that the data with the same characteristics were entered into the same group and the data with differentcharacteristics were grouped into other groups. This study uses data such as salary income, age, status, house pricesand mortgage payments. The results of this study were conducted twice using 12 training data training data and 100training data plus 1 as test data and obtained an accuracy value of 83% and error of 17%.
Mobile-Based Nearby Mosque Determination System Application Using Particle Swarm Optimization (PSO) Algorithm In the Gayungan District Budi Santoso; Wiwiet Herulambang; M Mahaputra Putra
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): 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.v4i2.117

Abstract

Public facilities related to religion one of which is the mosque. Mosque Is a place of worship for Muslimsworldwide. The city of Surabaya which incidentally is a tourist city that is often visited by foreign and local tourists,and especially the Muslims who want to establish prayer and need access to the location of the nearest mosque. Thereal condition that often happens is that tourists do not know the position of the closest mosque around them, so spendtime searching for the existence of the mosque. Particle Swarm Optimization Method is an algorithm that is inspiredby the behavior of a group of birds in a group to look for food. This method is one of the methods for searching theshortest distance. With this method, it can provide solutions to produce the closest location. From the tests carriedout, the Particle Swarm Optimization algorithm has been successfully applied to the search for the nearest Mosquelocation point and has successfully designed and built a nearby Mosque location search application based on AndroidMobile. By comparing with the euclidean distance algorithm the results of Particle Swarm Optimization show that70% accurately show the same results.
Optimization of Eggtray Raw Material Mixing Process Using Genetic Algorithm Case Study: PT. Sinar Era Box Gresik Adi Kriswanto; Syariful Alim; Fardanto Setyatama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): 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.v4i1.118

Abstract

The rapid development of technology and the increasingly fierce competition between companies in this globalization era, requires that the company's performance runs professionally and appropriately. PT. Sinar Era Box is one of the avalan paper processing company located in Gresik. The company has several divisions, one of which is industrial packing division that uses paper waste such as egg shelves (eggtray). But the company is still less than optimal in the process of mixing eggtray raw materials. So that in the process and the results of its production sometimes experience delays and does not meet market demand. Genetic algorithm is one of algorithm to find solution of combination optimization problem, that is get optimal solution value to a problem having many solution possibilities. From the results of research that has been done has successfully built an Optimization System Process Mixing Raw Material Eggtray using genetic algorithm that can be used to find optimal value solution done mixing process of eggtray raw materials.
Kidney Disease Diagnosis in Human Using the Backward Chaining Method Devi Ayu Ariyanto; Wiwiet Herulambang; Rani Purbaningtyas
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): 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.v4i1.119

Abstract

Kidney disease is a disease that must be avoided by everyone. Because this disease is difficult to detect and often threatens a person's life. The problem that often occurs is that the kidneys are not functioning properly, so the body does not try to reject enough water, salt, and other materials that can cause death unless the treatment is analyzed. An accurate analytical ability is needed in determining the diagnosis of a person's kidney condition. But with the convenience of expert doctors, sometimes there are also disadvantages such as limited working hours (training) and the number of patients so they have to wait in line. The backward chaining method is an inference method that performs the search process starting from the goal, which is the conclusion of the solution to the problem at hand. Stages that must be done is to find a set of data or facts, from the facts sought conclusions that are the solution of the problem at hand. The system can be run if the user chooses a disease and chooses the symptoms that are felt and then gets a diagnosis and a solution, and medication.

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