Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

JEECS (Journal of Electrical Engineering and Computer Sciences)

jeecs
Website

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

10 11 12 13 14

Prediction for Total Number of Lab Participants by Fuzzy Time Series Method (case Study: Information Engineering of Bhayangkara Surabaya University ) Febriardi Mahendra; Rifki Fahrial Zainal; Syariful Alim
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

Forecasting is a way to estimate a future value with using past data. One method of forecasting is the fuzzy methodtime series. The purpose of this study is to predict the number of students practitioners follow Department ofInformatics University Bhayangkara Surabaya by using fuzzy method time series. The created app can be used topredict the next 1 year. If the actual data in the year predicted inputted, the application can predict the next yearagain. The prediction error rate is calculated using Mean Absolute Percentage Error (MAPE). From the test resultsin predicting the number of students followers 7 courses Practicum Informatics Engineering Bhayangkara Universityof Surabaya in 2010-2012 using the method proposed in this thesis for practicum PTI obtained MAPE value of20.50%, Practical ANP obtained MAPE value of 0.50%, Network Computer practicum obtained MAPE value at8.50%, practicum Database obtained MAPE value of 0.50%,Managemen Network Computer practicum obtainedMAPE value of 14.50%, practicum PKG obtained MAPE value of 0.84% and practicum PBO obtained MAPE valueof 0.21%. Based on the results of testing the data it can be concluded that the fuzzy time series method when used onmore data many, it will get the accuracy of better and precise forecasting values.

Prayer Time Reminder and Mobile Phone Jammer for Mosque Based on Raspberry PI Wahyu Aulia Nurwicaksana; Septyana Riskitasari; Supriatna Adhisuwignjo
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

Prayer time reminder based on raspberry pi with LCD TV as a display that not only can be set according to locationbased on GPS coordinates, but also contain information in the form of picture, text, video, etc. This is much betterthan just simple words placed on dot matrix or running text as it is today. Display design can be fully customized asper needed, it can be accommodated because the system based on raspberry pi mini PC. The method used for thisresearch is by conducting literature studies and field studies that are necessary for system design and manufacture.This system had several components involve include raspberry pi, signal jammer, air freshner, and LCD TV. Thisprayer time reminder display information of mosque name, address, clock, prayer schedule based on GPS coordinate,event photo, announcement, video, and running text as per installed program. This reminder also act as mobile phonesignal jammer, so there is no interference based on mobile phone signal. Jammer activated when entered prayer timeup to at least 30 minutes later. It function can also be added as air freshner which will spray as long as the jammer isactivated at 10 minute intervals.

Financial Technology (fintech) a New Transaction in Future Vieqi Rakhma Wulan
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

The development of technology is so rapidly. The existance of technology is utilized for various business field.Telecommunication, book, film, transportation and now financial industry compete to take advantage of technology.Financial industry has long played in technology, often called with FinTech (Financial Technology). Credit cards,ATM, Bank mainframe computer are some of their products that utilize technology. The development of FinTech makea lot of start-Up glance at this field. In Indonesia, FinTech also quite developed. This research is focuse on how thepractise of FinTech in Indonesia. Where Indonesia still needs some preparation such as the mature of technology,resources, users and regulation.

Structural Analysis Program Using Direct Stiffness Method for The Design of Reinforced Concrete Column Ahmad Faza Azmi
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

Most of the analyzes and calculations in civil engineering have been using computer. But many commercial structuralanalysis programs are relatively expensive. Hence one of the alternative way is using a self developed structuralanalysis program. The computer program is constructed using Visual Basic 6 programming language. Using directstiffness method and theory of ACI 318-02, a numerical procedure along with a computer program was developed forthe structural analysis and design of reinforced concrete member. From the direct stiffness method,in terms ofstructural analysis, the output that obtained from the program are internal element forces and support reactions nodedisplacements. From ACI 318-02 codes, in terms of reinforced concrete member analysis, the program generate theamount of longitudinal and lateral reinforcement of concrete member based on the output in the previous structureanalysis program. The program also reveals the biaxial bending-axial interaction diagrams in each direction ofrectangular and circular column. The interaction diagram of the columns is a visual representation to determine themaximum axial load and moment exceeded the capacity of the column.

Implementation of Naive Bayes Method in Classification of Breast Cancer Disease Alamsyah; Eko Prasetyo; R Dimas Prasetyo
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

Less knowledge of early symptoms of breast cancer and how to deal with it early and the number of specialist doctorswho are still limited is one factor contributors because of the increasing number of people affected by breast cancerdisease. The development of breast cancer disease classification system aims to predict the early diagnosis of breastcancer disease in users or patients into two categories of malignant or benign. The initial diagnoses of this systemprediction variable include Clump Thickness, Uniformity of Cell Size, Uniformity of Cell Shape, Marginal Adhesion,Single Epithelial Cell Size (Single Epithelial Cell) Size), Bare nuclei, Bland Chromatin, Normal nucleoli, Mitosis Usingthe naive bayes method to process diagnostic data in patients, the results of this system test show that the system isable to predict and classify breast cancer disease into two categories (malignant or benign) with the amount of datatesting of 500 data. With the output of malignant or YA and benign or NO, the system is able to predict with an accuracyvalue of 98%.

Application of Cloud Computing for The Development of Knowledge Management System Web Based Network Chusnul Astri Ch; Rani Purbaningtyas; R Dimas Prasetyo
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

Developing Knowledge Management System using cloud computing is a concept that integrates knowledgemanagement (KM), with the process of finding, selecting, seeking, organizing and presenting data or information.KMS Network is a system that provides web-based content (contains data, information, & knowledge) as an increasein knowledge mastery, to help the needs of users or users who have difficulty when looking for sources of information.Kms is developed through the adoption of cloud computing (CC) technology, which has large amounts of data storageusing web servers or cloud servers online. In the research application of cloud computing for the development ofknowledge management system web-based network, has a speed in accessing the average article data 0.7833 seconds/ page, with the average page load memory 2.0 MB, search articles using the method "Sequential Search Or SequentialSearching ".

Omnet Sales Digital Protection with Box Jenkins and Delphi Method (case Study: PT Media Virtual Indonesia) Sarif Hidayat Tullah
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

To be able to develop sales turnover digital newspaper Jawa Pos, PT. Media Virtual Indonesia requires an appforecasting a sales turnover. The method used in forecasting the quantitative turnover using ARIMA method (BoxJenkins) while for forecasting the skin using Delphi method. The results showed ARIMA AR method became an optionbecause it has the smallest MSE error that is ARIMA AR 3525.36963, ARIMA MA 3803.33228, while ARIMA ARMA4176.79443. While with the Delphi method, the main problem is the increase in selling power of Digital Java Posnewspaper, while the results obtained at each stage is Phase 1: Which region will be the concentration of sales:Bandung City with points 7. Stage 2 How to introduce the product to the surrounding community? : Held a LocalEvent.

Decision Supplier Package System Using Fuzzy Subjective and Objective Integrated Weights Method (case Study: PT Garudafood Putra Putri Jaya) Muhammad Saiful Irawan; Rifki Fahrial Zainal; Syariful Alim
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

The purchasing department is the part that plays an important and influential role in a company even can be said mostof the business process comes from this section. Because of its nature as a procurement of goods and services then oneof its duties and responsibilities is to choose suppliers of procurement of goods and services for production operationalprocesses within the company. In this case PT Garudafood Putra - Putri Jaya often have difficulty in determining thebest product packaging supplier because of the performance instability of each supplier. For that the company needsa system whose purpose is to help decide the best supplier determination. Decision support system is a computer-basedinformation system that generates various decision alternatives to assist management in handling various structuredor unstructured problems using data or models. There are many methods used in a decision support system such asFuzzy Subjective And Objective Integrated Weights. Fuzzy can solve the problem of uncertainty in determining theweight of each supplier's criteria. The result of the implementation of this decision support system resulted in thesupplier of Mandhara Adhitama Utama as the best supplier. Where the results of calculations with Fuzzy SubjectiveAnd Objective Integrated Weights this supplier obtained the highest value with the number 1.742.

System Prediction Production PT.Vico Indonesia Using Method Holt Winters Riyan Sukma Sasongko; Eko Prasetyo; 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

Problem that Taken in this study is the process of forecasting oil and gas production in accordance so that companiescan know the prediction of the amount of oil and gas in the future. The method used to determine production predictionis Holt-Winters forecasting method. In testing the system will do the comparison of alpha, beta and gamma. Using thealpha value = 0.2, beta = 0.1 and gamma 0.5 to get better multiplicative forecast for oil and gas data. And to get thesmaller error difference compared to the smaller alpha (α), beta (β) and gamma (γ) then the smaller the differencewill be. The Multiplexative Spring Method and the Seasonal Additive Method are good enough for oil and gasproduction data

Analysis and Design of Production Schedulling System for CV. Bulu Nusantara Gresik Emmy Wahyuningtyas
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

CV. Bulu Nusantara is a company located in Gresik – East Java produces some kinds of flour as animal feedingredients. The flours are come from chicken feathers, chicken bones, fishes and clams. The company has limitedproduction machinery, so as to produce each kind of flour for optimum results, it must be well planned. This study isto analyze and design the information system needed by the company. The system is designed to manage inputs,processing them and resulting some informations like Master Production Schedule, dayly/weekly/monthly productionreport, and so on. The analysis phase produces two algorithms, each for estimating the order finishing time andschedulling calculation. The design phase produces context flow diagram, first level of data flow diagram, theconceptual and physical data model. The study result is showing us that the company needs the information systemwhiches consist of seven interrellated entities, eight main processes and flexible period of detailed reporting or resumereporting in form of chart.

Page 12 of 21 | Total Record : 201

10 11 12 13 14

Filter by Year

2016 2025

Filter By Issues

All Issue Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences) 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. 1 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences) 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

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