JEECS (Journal of Electrical Engineering and Computer Sciences)
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
201 Documents
<![CDATA[Mobile-Based Nearby Mosque Determination System Application Using Particle Swarm Optimization (PSO) Algorithm In the Gayungan District ]]>
<![CDATA[Budi Santoso]]>;
<![CDATA[Wiwiet Herulambang]]>;
<![CDATA[M Mahaputra Putra]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i2.117
<![CDATA[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.]]>
<![CDATA[Optimization of Eggtray Raw Material Mixing Process Using Genetic Algorithm Case Study: PT. Sinar Era Box Gresik ]]>
<![CDATA[Adi Kriswanto]]>;
<![CDATA[Syariful Alim]]>;
<![CDATA[Fardanto Setyatama]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.118
<![CDATA[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.]]>
<![CDATA[Kidney Disease Diagnosis in Human Using the Backward Chaining Method ]]>
<![CDATA[Devi Ayu Ariyanto]]>;
<![CDATA[Wiwiet Herulambang]]>;
<![CDATA[Rani Purbaningtyas]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.119
<![CDATA[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.]]>
<![CDATA[Android Based Hate Speech Search Applications Using TF-IDF Algorithm and Vector Space Models ]]>
<![CDATA[R Dimas Adityo]]>;
<![CDATA[Tri Yogi Rizqi]]>;
<![CDATA[Mas Nurul Hamidah]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.120
<![CDATA[The freedom in the use of social media becomes a common means in voicing opinions and expressions byissuing words or phrases of blasphemy (Hate Speech) in social media like Facebook. Hate speech and blasphemouswords are easily spread across social and general media not found that have transgressed the limits and can trace theunrest. To find out what the users of social media especially Facebook we have issued words or phrases of blasphemyon the basis of this report occurred. The study was conducted by using TF-IDF weighting algorithm and VSM (VectorSpace Model) calculation, while the data used was the 30 users post using Graph API. This research resulted in searchwith recall value: 2/2 = 1 which means the result of the relevant document and the precision value of the search resultis 2/13 = 0,154 which means result also raises irrelevant search result. Percentage of hate speech equivalence valuewas 43%.]]>
<![CDATA[Development of Nutritional Fulfillment Funds for Pregnant Women Using Web-Based Sugeno Method Case Study: "NURANI" Maternity Clinic and Maternity Hospital ]]>
<![CDATA[Dita Mustika Anggraeni]]>;
<![CDATA[Eko Prasetyo]]>;
<![CDATA[M Mahaputra Hidayat]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.121
<![CDATA[The high rate of malnutrition in various regions and the increasing prevalence of obesity, especially in big cities, is a double burden of nutritional problems in Indonesia. Meanwhile, the utilization of health facilities by those lower classes people in particular is still low and the health service itself is far from optimal. Besides, the pregnant women are also reluctant to consult their nutrients experienced during pregnancy. From the above problems, an application which can help pregnant women in making nutritional decisions at the time of pregnancy without consulting to consult a doctor / nutritionist was finnally made, that is Sugeno Fuzzy method. This method can provide the right nutritional decisions for pregnant women. The purpose of this study is to assist and facilitate pregnant women in the fulfillment of nutrition during pregnancy. Input used in this study is BMI, age of pregnant woman and age of pregnancy. While the output of the end result of this application system is to provide decisions about the nutrients experienced by pregnant women, they are less nutrition, ideal nutrition and excessive or much nutrition. The results of the experiment gives the calculation; the error rate of 62 % and the accuracy of 38 %.]]>
<![CDATA[Decision Support System for Selecting Tourist Object in Surabaya City Using Simple Additive Weighting Based on Android ]]>
<![CDATA[Putri Agustin Merditawati]]>;
<![CDATA[M Mahaputra Hidayat]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.122
<![CDATA[In this Final Project will be discussed regarding the implementation of the Attraction Decision Support System in Surabaya using Simple Additive Weighting. The problem to be taken is to get the best results from 50 attractions in the city of Surabaya based on the user's location by using an Android-based operating system, to make it easier for users to access this application. To obtain the value of distance criteria, this application uses the Haversine formula. The results of the study of the decision support system application for the selection of attractions in the city of Surabaya using the Simple Additive Weighting method is the highest value obtained from attractions based on the user's location with weights for each criterion especially the distance criteria which has a weight of 0.3.]]>
<![CDATA[The Nearest Route Search for A Shoe Retail Shop Using Android-Based Dijkstra Method ]]>
<![CDATA[Muhammad Farid Fathul Huda Pradhana]]>;
<![CDATA[R Dimas Adityo]]>;
<![CDATA[Mas Nurul Hamidah]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.123
<![CDATA[Shoe retail store is a company engaged in the sale of shoes that are developing. Until now, shoe retail stores still rely on physical stores in their business. Because it is engaged in sales, the shoe retail store requires an information system for finding a route to the store that can facilitate prospective buyers to find the location of the shoe retail store. With the shop route search information system, it can facilitate prospective buyers who do not yet know the location of the shoe retail store to find where the store is located. From the writer's observation, there are several shoe retail shops that are not indexed on Google Maps. Therefore, the author raises the title of the final project entitled "Information System for Route Search Towing the Nearest Shoe Retail Shop Using the Android-Based Dijkstra Method", to facilitate prospective buyers in the PT Stars International shoe store in finding the location of the shoe retail store. has been made, this application can run on smart phones running Android with versions starting from version 4.0.3. and the functions of this application can also run well. for the difference in distance calculation by the system using the dijkstra calculation and google maps distance calculation, a difference of 9,196% is obtained from an average of 25 random sample calculations.]]>
<![CDATA[Honda Motorcycle Stock Forecasting System Using Double Exponential Smoothing Method (case Study of Honda Dealer PT ]]>
<![CDATA[Tommy Ferdiansyah]]>;
<![CDATA[Rifki Fahrial Zainal]]>;
<![CDATA[Arif Arizal]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.124
<![CDATA[Stock in the warehouse of PT. Delta Sari Agung Sidoarjo is currently unstable, therefore between in and out stock is still out of control. Forecasting is estimating the state of the future through testing the state of the past. In social life, everything is uncertain and difficult to predict accurately, so forecasting is needed. In other words forecasting aims to get forecasting that can minimize forecasting errors (forecast error) which is usually measured by mean square error, mean absolute error, and so on. The Double Exponential Smoothing method is used for forecasting by determining the amount of α (alpha), as well as the smoothing process twice and this study is compared with ANNMatlab. From the results of the comparison of the trial system forecasting and JST-Matlab there is a difference of 16 motorbikes from the remaining stock, which is for the results of forecasting 622 and JST-Matlab 638 results.]]>
<![CDATA[Banking Price Forecasting Application Using Neural Network Time Series Method ]]>
<![CDATA[Wiwiet Herulambang]]>;
<![CDATA[Fardanto Setyatama]]>;
<![CDATA[Diana Nur Arofah]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.125
<![CDATA[In the capital market is a meeting place for investors to make an offer with demand for securities as a means of business funding or as a means for companies to get funds. One of the assets to invest in the capital market is stocks. In terms of business aspects, stock investment has good growth but this does not apply to all stock sectors. Because in fact the development of capital markets in Indonesia turned out to be ups and downs. It can cause changes in demand and supply that will affect investor psychology in predicting stock prices. This stock price forecasting system will be created using the Neural Network Time Series method. Using historical data as a reference in the neural network training process can be used as a basis for predicting bank stock prices the next day. In the tests that have been carried out using the application forecasting stock prices of state banks using the neural network time series method with the backpropagation algorithm, the average accuracy rate of the State Savings Bank (BTN) is 97.32%, Bank Negara Indonesia (BNI) 98.25%, Bank Mandiri 97.68% %, and at Bank Rakyat Indonesia (BRI) 98.59%.]]>
<![CDATA[Design of Mental Disorder Consultation System with Decision Tree Method ]]>
<![CDATA[Ahmad Sarif Hikmawan]]>;
<![CDATA[Eko Prasetyo]]>;
<![CDATA[Rifki Fahrial Zainal]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.126
<![CDATA[level or category of disorders suffered by patients, so patients can be dealt with quickly according to the level of the disorder they suffer. Diagnosing the level of mental disorders using the expert system will record the symptoms of the patient and will diagnose the level of the disorder based on the knowledge obtained from an expert, the mental disorder expert system uses the Decision Tree method. in general is a system that seeks to adopt human knowledge to computers, so that computers can solve problems as they are usually done by experts or before consulting a psychologist without reducing the expert role of the psychologist or in other words expert systems are systems that are designed and implemented with help certain programming languages to be able to solve problems as experts do quickly and efficiently. It is hoped that with this system, lay people can be more sensitive in recognizing the level of psychiatry in person. As for the experts of this system can be used as an assistant or supporting the performance of psychologist officers. Based on the results of the system tests that have been done, the accuracy of 97.5% results and system error 2.5% and the percentage of each diagnosis, 32% psychosis, 27% Neurosis, 17% Learning Soldered, 12% Juvenile Delinquency and Growth Flower 10%.]]>
