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JEECS (Journal of Electrical Engineering and Computer Sciences)

jeecs
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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 201 Documents

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Grouping of Books Type Based by Time Borrowing (months) Using Fuzzy C-Means Algorithm. (case Study: Surabaya Public Library) Bachtiar Azhari; Rifki Fahrial Zainal; Rani Purbaningtyas
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

Book lending transactions are the main activities that take place in the Library. With the method of grouping, it willget what kind of books are most often borrowed. The method used is Fuzzy C-Means. This thesis discusses theapplication of Fuzzy C-Means method to classify book data based on lending per month and measure the effectivenessof the use of methods in the process. This application has been tested by producing 3 clusters and classify the time(month) where the frequency of borrowing done by visitors in the Library.

3D Simulation of Plant Growth Modeling Using Neuro-Fuzzy, Lindenmayer System, and Turtle Geometry Wiwiet Herulambang; Retantyo Wardoyo
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Applications that are able to predict plants growth patterns as a function of the nutrients obtained from fertilization pattern, is very useful in agriculture. The purpose of this study was to design and build a system of plants growth simulation models with Neuro-fuzzy method, then visualized by methods Lindenmayer system represented by three-dimensional use of Turtle Geometry. As the object of research is Soybean (Glycine max (L.) Merrill). Modeling parameters is long growth trunk / branches (L), a wide cross section of the leaf (W), and branch growth (B), as a function of changes in the fertilizing elements Nitrogen (N), Phosphate (P) and potassium (K). Modeling done on the vegetative phase of the soybean crop.First step is the modeling output L-W-B as a function of changes in the values of NPK using neurofuzzy (ANFIS). The final step is to combine plant growth pattern parameters (L-W-B) and L-system strings into the visualization process plant structure using Turtle Geometry.The test results on the system to grow plants pattern proves that ANFIS method is quite adaptive to variation of NPK value changes, and able to predict the output value L, W, and B. The final result of string-set of L-system and also it's visualization by Turtle Geometry, has proven to be influenced by variations in the composition of NPK values. Overall, the system has been running as expected.

Pattern Recognition of Signature Verification Using Cellular Automata Methods Adiananda; Retantyo Wardoyo
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

A pattern recognition technique in the field of machine learning and can be defined as "the act of taking raw data and act upon data classification". Much research has been done on the topic of pattern recognition using a variety of methods one of which is by using the cellular automata. In this study used cellular automata method for finding and extracting characteristics of an image of the signature and realized in a pattern recognition software that can verify the authenticity of the signature image by using cellular automata method for the extraction process characteristics. In this study used data 57 respondents with 6 signatures used as a reference image. Three pieces of the original signature image and 10 pieces of counterfeit signature image is used as the test images (query). From the testing that has been done precision 88.30%, recall 65.37% and accuracy 71.31%.

Decision Support System for The Purchase of A Printer in Hi-Tech Mall Method Using Fuzzy Tahani Sutrisno; Eko Prasetyo; Rani Purbaningtyas
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

With the availability of many brands and types of printers sold by shops in hi-tech Mall resulted in consumers ' difficulties in selecting the printer as needed. In addition, the seller is also complicated in helping consumers to choose the printer that will be purchased. The existence of this, research is trying to build a printer purchase decision support system using fuzzy method tahani implemented in the form of an informative website. The printer then purchase SPK tested to 15 people the user is divided into 5 testing query, where on every test there are three categories i.e. inkjet, color laser and laser mono. Furthermore, the results of these tests are compared with the opinion of the user regarding the printer that match criteria you selected, and the obtained results of 67% user opinions match up with the results of the recommendation given by the system.

Determining the Priority of Transport Station Construction Site Using AHP Methods Dwi Setiyo Raharjo; Sri Hartati
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Construction of the transport station as a node connecting the major transport systems become an obligation of government to increase the pace of development and the achievement of the area. Build the station requires careful consideration and planning, especially with regard to the rate of population movements. The main concept in determining the priority of some transport station construction site available is the choice of location were deemed urgent to be carried out construction of the transport station. Determining the level of urgency and also refers to the criteria and factors supporting of several locations that have been provided to meet the needs of society in order to facilitate the flow of people. So it has been done by the government of Situbondo to the attainment of the index of people's satisfaction with government performance, the prioritization of transport station construction site developed using Analytical Hierarchy Process (AHP) as a decision support. With Analytical Hierarchy Process (AHP) to help facilitate Situbondo regency government in making the determination of development priorities based on problem solving into a hierarchical structure that contains of objectives, criteria, sub-criteria and alternatives.

Identification of Nutrient Nitrogen in the Leaves of Soybean Plants Using ANFIS Based On Soybean Leave Colour Rahmawati Febrifyaning Tias
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

The social demand for soybeans increas continously along with the growth of population. Increasing production of soybeans has many obstacles, among others attacked a variety of pests, diseases and nutrient deficiencies. In this research discusses the nutrients nitrogen deficiency symptoms based on soybean leaf colour. An Agricultural expert is needed to determine its cause. However, limited number of Agricultural Experts can not solve the Farmers problem at the same time. Therefore, systems are needed for early identification accurately of nutrient nitrogen in soybean leaves. In this research uses “ Adaptive Neuro-Fuzzy Inference System (ANFIS) Methode” which is expected success rate of 80%.

Analysis Optimation Algorithms at Shortest Path in Area Surabaya Mas Nurul Hamidah
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

The shortest path is one case that often in mobile applications now, and there are several optimization algorithms supporting solution shortest path, it can use the greedy algorithm and the dynamic programming algorithms , of course, both of them have optimization methods are different, the case studies will be taken is the area around Surabaya which will evaluate the performance of the optimization algorithm at a certain point in the point area of Surabaya, the calculation by the two algorithms are, it will conclude appropriate optimization algorithm to get to certain areas in Surabaya area. From the evaluation results of two optimization algorithms are greedy and dynamic programming in the can the optimum solution is to distance the RSI jemur sari heading RSAL is solution the same optimum passed node A-C-E-G-H with total shortest distance that is 1.99 km, while the optimum solution royal plaza toward marvell city also same produces result between greedy algorithm and dynamic programming algorithms that is 1-2-5-7-9 with total cost 2,57 km shortest distance.

Item Arrangement Pattern in Warehouse Using Apriori Algorithm (giant Kapasan Case Study) Rifki Fahrial Zainal; Fardanto Setyatama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Giant is a retail company with supermarket format. Giant supermarkets should understand what are the items actually needed by their customers, particularly in easiness of choosing shop items. One of the method that can be used to analyze customer shopping behaviour pattern is analysis using the help of apriori algorithm. The analysis result, rules for item procurement are succesfully obtained. Rule that can be formed with minimum support and minimum confident highest values shows that the produced rule is {Sedap Mie Rasa Ayam Spc 69g  Cleo Air Minum Extra Oxygen 550 ml}. Based on the result, therefore Giant Kapasan should provide item Cleo Air Minum Extra Oxygen 550 ml when it sells Sedap Mie Rasa Ayam Spc 69g.

Automatic Steering System on The Prototype Electric Car UMSIDA Indah Sulistiyowati; Miftachur Rifki Antoni
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Currently the electronic device can not be separated from human life, especially is the gadget. Gadgets in daily activities is almost inseparable from our grasp, from children to adults. Many devices are now directly connected with android smartphone. Hence the idea to do some research occurred android smartphone is connected to a steering system of the car. In this case study is used as a prototype electric car UMSIDA. Here we create an electronic circuit that we put on the car steering system, which by using blutooth connection connects to an android smartphone that we use. As for the electronic devices we use Arduino is programmed using C language to run the motor that moves according to the input data transmitted via android smartphone. Where the results of tests show that the speed turns on bluetooth pairing process is more influenced by the android version and hardware high.

Classification of Diabetes Disease Using Naive Bayes Case Study : Siti Khadijah Hospital Ida Lailatul Qurnia; Eko Prasetyo; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Less knowledge about symptoms and how to treat the disease of diabetes mellitus as well as a number of specialist diabetes mellitus which is still limited is one of the causes of the growing number of people affected by the disease. Diabetes disease classification system development aims to predict the type of diabetes patient or user who already suffer from diabetes mellitus. Therefore this system is made to diagnose the type of diabetes through laboratory test results, namely in the form of gender, age, disease history, family history, systolic, diastolic tensi tensi, temperature, pulse, blood sugar, fasting blood sugar JPP and Random blood sugar. That is by using the method of naive bayes as a method to process data on the patient's diagnosis. Test results of this system indicates that the system is able to predict the type of diabetes in patients, from the amount of data as much as 200 patient data, with an output that is the form of Diabetes Without Complications, Diabetes Type II and Normal but obtained the lowest accuracy rating of 39% and the value of the highest accuracy of 80%.

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

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

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

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

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

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