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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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Geographic Information System Mapping of Housing Locations Using Web-Based Breadth First Search Algorithm Arif Arizal; M Mahaputra Putra; Dwi Budi Marwanto
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): 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.v5i2.90

Abstract

Sidoarjo Regency as one of the cities with an increasingly dense population and the needs of people who want to find information about housing quickly, makes a Geographical Information System indispensable, especially in terms of finding housing locations. Therefore, the authors create a web-based housing geographic information system in Sidoarjo Regency using Breadth First Search to design the system interface and logic, MySQL for database system design and Bing Api for mapping. Information presented in the form of housing names, addresses, photos of housing, pictures of house types, house plans, availability and prices of each type of house. With the GIS (Geographical Information System), it is hoped that the public can more easily and quickly get housing information in Sidoarjo Regency. The results of this study show the details of the housing location from the user's location according to the radius to be selected and know the approximate distance of travel time to the residential location
System for Determining House Credit Recipients Based on Data of Cooperative Members Using Simple Additive Weighting (SAW) Wiwiet Herulambang; Fardanto Setyatama; Muhammad Zulfikkih
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): 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.v5i2.91

Abstract

PMS Employee Cooperative is a savings and loan cooperative which aims to provide storage and loan services to employees who work at PT. Pro Manunggal Solusi and does not yet have a Decision Support System (SPK). A decision support system is needed in determining the eligibility of cooperative loans to employees. This study aims to help simplify and accelerate and minimize errors that occur in the cooperative borrower feasibility assessment process. The method used for this decision is to use the Simple Additive Weighting (SAW) method. Six criteria are used for the loan eligibility assessment process, namely criteria 1 (Loan size), criterion 2 (Loan Purpose), criterion 3 (Salary), criterion 4 (Position), criterion 5 (Age), criterion 6 (Period of service). Based on the results of the calculation, it can be concluded that each loan employee will be approved according to the ranking and is limited by the balance. If the balance is sufficient, the loan will be approved, but if the balance is less, the loan will be rejected. Of the total value of the ranking results, loans approved with a sufficient balance were Susanto (0.82) with a 12.13% chance, Sentot Sudiyantono (0.80) with a probability of 11.83%, and Siswandi (0.73) with big chance 10.80%.
Decision Support System for Selecting Order Types Using the SAW-AHP Method M Mahaputra Hidayat; Mas Nurul Hamidah; Rizky Wahyu Prastyawan
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): 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.v5i2.92

Abstract

This study aims to make it easier for users to choose the type of orchid that is suitable for planting in the user's environmental conditions. This research was conducted because there were many orchid enthusiasts who wanted to cultivate it but it was not balanced with knowledge of the characteristics of orchids that can live in ideal environmental conditions. The SAW method plays a role in the initial classification where the results of the SAW method classification are sorted from the largest value to the smallest value, then the 10 best results from the SAW method will be processed by the AHP method and produce the final result, the recommended orchid. The final result obtained in this system is in accordance with the manual calculations performed, this means that the system classifies rules properly and accordingly.
Applications Learning Musical Instruments in Indonesia Using Augmented Reality Technology Rahmawati Febrifyaning Tias
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): 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.v5i2.93

Abstract

The 3-dimensional animation designed and presented as learning media has grown rapidly nowadays, 3-dimensional animated characters in regional musical instruments can be one of the learning media for the general public especially children. How to present different learning 3-dimensional animation content, can attract the general public and children to learn, one of them using augmented reality technology. Augmented reality is the practice of combining image media with a 3-dimensional object that brings out 3- dimensional objects from cyberspace to the real world. This way can be a form of learning, where users can see and understand that learning can be conveyed through efficient learning, in the concept of augmented reality, users not only play with this application but can Learn knowledge about regional musical instruments in Indonesia. Development of the learning system of Multimedia applications regional musical instruments in Indonesia using Augmented Reality technology is able to provide knowledge in learning that is not only in general public but also for children Children who want to add insight into the knowledge of regional culture art, especially local musical instruments in Indonesia
Classification of Zakat Fitrah Recipients Using Naïve Bayes Method R Dimas Adityo
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): 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.v5i2.94

Abstract

Indonesia is a country with a majority Muslim population. In the daily life of the Indonesian population, it is inseparable from the influences of Islamic teachings. In life in this world there are many commands of Allah that must be carried out, including the order to pay zakat. One of them is when Eid al-Fitr is required to pay zakat fitrah for each of its citizens. In grouping the distribution of zakat fitrah using the Naïve Bayes classification method. Naïve Bayes classification itself is a classification method that can be applied in classification. The classification system used to classify categories of zakat fitrah recipients. From each test results using test data and training data randomly, and each test using training data which increased 37 pieces of data in each test. It can be concluded that the more training data the level of accuracy decreases. The determination of the amount of training data and test data is very influential on the final results of calculations using the Naïve Bayes method. Class determination also affects the final results of calculations using this Naïve Bayes method.
Smart School Management System as A Student Presention Monitoring in The Khadijah High School Surabaya Mas Nurul Hamidah
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): 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.v5i2.95

Abstract

As a supporter of the Surabaya city government program, which will make the city of Surabaya a smart city in all aspects of the field, including in the field of education. The smart city program in Surabaya has been running in several aspects of the field, but there are still very few in the field of education, Khadijah High School is one of the schools that will implement all forms of information technology-based school management, which we can call a smart school management system. The system management method uses the RAD (Rapid Application Development) method. The expected results in making this system are, by monitoring the presence of students until end to end it can minimize student delinquency in learning.
Best Regional Selection Decision Support System for Shallots in Waru District, Pamekasan Regency Using Topsis Method Fathorrozi Ariyanto; Rofiuddin
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): 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.v5i2.96

Abstract

The location of an area greatly influences the agricultural sector, including the Waru Subdistrict, Pamekasan Regency, a geographical condition that incidentally consists of hilly plains or highlands. So it is very influential on food plants that can be developed in the area. The objective to be achieved in this final project is to make a Decision Support System application for the Best Shallot Producing Region in Waru Subdistrict, Pamekasan Regency Using the TOPSIS Method. From the results of the study it can be concluded that the application system that has been made is running well and quite User Friendly, from the five villages in the Waru sub-district which were used as experimental data, it can be concluded that the selection of the best village using the TOPSIS method recommended for shallot cultivation is Sanah Laok village. with the highest score is 0.6312.
Forecasting Number of Legal Violations in Indonesian Sea Using the Fuzzy Double Exponential Smoothing Method Hozairi; Syariful Alim; Marcus Tukan
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): 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.v5i2.97

Abstract

Maritime security in Indonesia is an indicator of the success of the Government in managing the sovereignty of the State because two-thirds of Indonesia is sea, so Indonesia is called a maritime country. This study aims to predict the number of law violations in Indonesian seas. Predicting events is a strategic step to set the next security operation strategy. The method used to predict violations of law at sea in Indonesia is Fuzzy Double Exponential Smoothing, the Fuzzy method is used to normalize violation data and the Double Exponential Smoothing method is used to predict future events, a combination of fuzzy and double exponential smoothing methods was developed to improve some previous research which only use exponential smoothing only in making predictions. The data processed is data on violations of law at sea in Indonesia from 1996 to 2019 from the Indonesian Maritime Security Agency. The results obtained from this study are the data smoothing constant value (α = 0.81), the trend smoothing value (γ = 0.08), the mean absolute percentage error value (MAPE = 21.78%) and the root mean value average error (RMSE = 60.72). The results of this study predict that the number of violations of law at sea in Indonesia in 2020 will decrease to 98 cases, this is due to several factors, including the focus of the Government on carrying out security operations in Indonesian seas in an integrated manner involving many institutions. The research contribution can be considered by Indonesian Maritime Security Agency to improve Indonesia's maritime security by involving institutions that have legal authority in Indonesian seas
Study Program Classification System Informatics Engineering of Ubhara Surabaya Wahyu Dyah Rizki Septiana; Eko Prasetyo; Rani Purbaningtyas
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): 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.v5i1.98

Abstract

One indicator to improve the quality of a university is the number of students who graduate on time. But the problem that often occurs at Bhayangkara University in Surabaya is the number of students entering and the number of students graduating unbalanced. Therefore this research was made to classify the period of study of students by using variables in the form of social studies semester 1-4, school origin, work status, morning / evening class status, and sex. This study aims to classify the length of time a student studies on time or late using the naïve bayes method. The results of this study indicate that the system is able to classify training data and test data on experiments conducted in each batch, the highest accuracy results are 59% and the lowest accuracy results are 56%.
Applying the Weighted Product Method for The Best Selection of Personal Quality Control in Pt. Pacific Equinox Surabaya M Mahaputra Hidayat; Eko Prasetyo; Sona Ahmad Susanto
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): 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.v5i1.99

Abstract

The aim of this research is to design and implement a decision support system software for the selection of the best quality control at PT. Pacific Equinox Surabaya. The intent and purpose of this research is to study the process of selecting the best employees who have been working on a manual system into a computerized system and use the Weighted Product method as an algorithm to facilitate the process of selecting the best employees.This system also has the advantage of helping the management process data and values of PT. Pacific Equinox Surabaya employees. In addition, more efficient time efficiency and also helps in the process of making reports required by management.The results of this study are applications that can make it easier to analyze a number of data, in order to help provide information as a result of the best employee decision making. But this system also still has weaknesses in terms of facilities and program appearance so that it still needs improvement

Page 26 of 42 | Total Record : 420

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