cover
Article Per Year (5 Year)
All
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
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
 25   26   27   28   29 
Decision Support System for Giving "joint Degree Program" School of Bhayangkara Surabaya University Using Analyticalal Hierarchy Process (AHP) Method Irine Ratih Paramitha; Wiwiet Herulambang; Syariful Alim; Arif Arizal
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.v5i1.100

Abstract

The granting of scholarships to students is carried out by universities based on their achievements. In awarding scholarships, universities often have difficulty in determining prospective scholarship recipients, so it is found that the distribution of scholarships is not precisely due to a manual system for determining scholarships. Decision support system is an information system intended to assist the University in solving the problem of awarding Academic Achievement Scholarships. One method that can be used in a decision support system is Fuzzy Analitycal Hierarchy Process ( F-AHP) with the Chang model approach (1996). The criteria used are GPA, Achievement, Parents' Work, Parental Dependents and Semesters. From the results of experiments conducted the results of calculations from the application and manual checking from the ubhara get 100% presentation in determining the recipient of the scholarship. Resulting in the ranking of student grades, ten students with the highest grades in each faculty will receive an Academic Achievement Improvement scholarship.
Decision Support System for Evaluation of Java Learning in Elementary School (SD) Using Cummulative Voting Method Fajrul Islam; Rani Purbaningtyas; Syariful Alim; Rifki Fahrial Zainal
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.v5i1.101

Abstract

Javanese is a language used by Javanese ethnic groups in Central Java and East Java, learning Javanese should be done by Javanese people to carry on the language of ancestral heritage so that Javanese language will not disappear in the future. To support effective and flexible learning tools, learning evaluations are needed so that teachers know the extent of students' understanding of Javanese language, the purpose of this research is to make it easier for students to learn Javanese in the learning process and in order to make teachers evaluate. From these problems led to the idea to create a web-based application in which it can carry out an accurate assessment process using the Cumulative Votting method with a Likert Scale. The programming language uses PHP and the database uses MySQL. From the test results using a Likert Scale manual values tested at 3 places found the results, namely, Gresikan Village Elementary School students get an interval value of 67.5% with a "Good" Scale, Rautlatul Jannah Islamic Elementary School students get an interval value of 61.5% with a "Good" Scale, SDIT Nurul Fikri Students get an interval value of 61.5% with a "Good" Scale.
District and City Clasterization Based on Adipura Assessment in The Region of Indonesia Using the Fuzzy Methodc-Means Syariful Alim; M Mahaputra Hidayat; R Dimas Adityo; Elta Deka Wilinda
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.v5i1.102

Abstract

Adipura is an award for Indonesian cities that succeed in cleanliness and management of the urban environment. Adipuraisorganizedby the State Ministry ofEnvironment.Adipurais actually usedasatool to encourage the motivation of government officials and the community to improve and improve environmental hygiene conditions in Indonesia. The problem istodeterminetherecipient ofAdipuratakes2weeksto selectRegenciesandCities in all regions of Indonesia, in this study there were 374 Cities and Regencies collected. Clustering is a method of grouping based on the size of closeness (similarity). Clustering is different from a group, if a group means the group is in the same condition, if not, then definitely not the group. One method that can be usedin clusteringis fuzzy c-means. In the concept ofFuzzyC-Means firstdetermine the center of the cluster, which will mark the average location of each cluster which is then carried out the process of repairing the cluster center and the degree ofmembership of the point to theminimization of objective functions that describe the distance from the data points given to the center of the weighted cluster by the degree of membership of that point. From the results of testing a regional clustering systemthat deservesAdipura with the result that each cluster in each processgets avalue that is always changing, so it cannot determine the labeling of a patent. Data greatly influences the time for application processing. The more data it will take more time for the fastest time is in the Big City category while the longest application execution time is in small cities with a total data of 273.
Determination of The Best Location Garden of Public Reading (TBM) in Surabaya Using the Method Analysis Overlay and AHP Dzulfikar Revelation Rosyidi; Rani Purbaningtyas; Fardanto Setyatama
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.v5i1.103

Abstract

The growth of organizations in the field of literacy is very good for the development of children's interest in reading and insight at an early age, especially in the city of Surabaya. Taman Bacaan Masyarakat (TBM) is an organization that has an important role to support and facilitate the community in seeking knowledge in the field of literacy in particular. The addition of TBM in Balai RW, Kelurahan, Kecamatan, and in the corners of community crowds is a tangible manifestation of the role of the Surabaya City Library and Archives Service as the authority that intersects directly in the field of literacy to facilitate the reach of the public in finding quality sources of information. However, several technical factors influence the selection of TBM addition locations that are still very objective. And the limited budget for the establishment of TBM also affects the number of TBM founding locations
Forecasting Sales of Premium Oil Fuel, Pertalite, Pertamax, Pertamax Turbo and Bio Solar Using the Method Exponential Moving Average (EMA) (case Study: Klampis Gas Station Surabaya) M Mahaputra Putra; Rahmawati Febrifyaning Tias; Ayu Dwi Safitri
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.v5i1.104

Abstract

Along with the development and progress of current technology, fuel oil is one of the basic needs for both industry and transportation, demands will this fuel service becomes very important, and pertamina as the material provider fuel oil, must be able to guarantee the availability and smoothness of fuel products oil. The purpose of this study is to predict the amount of premium sales, pertalite, bio solar, Pertamax, and Pertamax turbo at Klampis Surabaya gas station for 2018 by using the forecasting method Exponential Moving Average ( EMA). Based on the results data processing carried out it can be concluded that the forecasting method that period 30 days are more accurate in predicting Premium, Pertalite, and Bio Solar 2018. And the 365 day period more accurate in predicting Pertamax, and Pertamax Turbo. Based on comparison of values MSE with MAPE, it can be concluded that using the MSE method to find values more good errors in this study. Based on the comparison of MSE values with MAPE, it can be concluded that using the MSE method to find better error valuesin this research.
Implementation of Genetic Algorithm in Completion Traveling Salesman Problem Study Case of Garuda Express Delivery (GED) Syariful Alim; M Mahaputra Putra; Bagus Damas Ardilestian; Agus Bintoro
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.v5i1.105

Abstract

Indaily distribution activities, GED is a shipping service company. Always associated with couriers as inter mediaries. Where each courier will send a packagetoseveraldifferent places.Surely they(couriers)want to immediately complete their tasks,by findingor determining the path that is traversed in order to shorten the work and return to the office and then make a report. This case is commonly called the Traveling Salesman Problem,which can be solved by several methods. One of them is by optimization of Genetic Algorithms. Genetic Algorithm methods can provide solutions to these problems by providing input (input) fromseveral addresses that they will (courier) distribute. Then the input will be processed with several stages starting from initialization, selection, crossover, mutation and regeneration. The results are then displayed in graphical form which links the shipping addresses. The results of the study, obtained the fastest route with a maximumof 10 points or shipping address,which can be used by the courier in its distribution. In this study, the objective valueisthe value of the length of the road section taken from the Google Map. With termination rules or conditions that state that the smallest and largest fitness values must be the same or 60% of the fitness of the genetic algorithm population shows the greatest fitness. This rule will give the same and accurate results even though the number of generations produced is different.
Mobile Tracking Attendance of Branch Manager PT. Stars International Suhairi; R Dimas Adityo; Mas Nurul Hamidah
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.v5i1.106

Abstract

Nowadays technological developments in daily life are increasingly developing. In the world of work, information technology is needed, especially in absenteeism this is still mostly done manually and fraud often occurs. At PT. Stars International in doing absenteeism the presence of managers is still using the manual method so the process absenteeism cannot be monitored directly. Likewise in the making Report managers have also been using the same method and very consuming time. Then made the system Mobile Attendance Tracking Branch Manager's goal is to avoid cheating in attendance at PT.Stars International. After doing Mobile Manager Attendance Tracking testing company admin can be directly monitor managers during visits based on the distance between store locations and manager positions and attendance process at PT. Stars International, a comparison between using methods Euclidean Distance with Google Maps has a percentage error of about 16.4% after it is done testing with 10 different sample data with Rungkut Stars Stars as points reference.
Evaluation of Understanding of Safety, Health and Safety (K3) Using the Method Cumulative Voting (case Study of PT. Kencar Sukses Investama) Wildansyah Rokhmana Putra; Rani Purbaningtyas; Eko Prasetyo
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.v5i1.107

Abstract

Every employee who works must understand safety in order to create a conducive work environment and Zero Accident. This study aims to create an Evaluation System for Understanding Safety, Health and Safety (K3) by using the Cumulative Voting Method so that it can optimize the quality of K3 in the company to be more effective and efficient. From the application trial results obtained the results of the validity test between manual data and application data have a difference in the results because the manual workmanship is calculated with a manual averagewithout any cumulativevalue of each item being tested. Application of K3 Comprehension Evaluation with Cumulative Voting Method can also prevent or minimize user input errors.
Disease Diagnosis System in Appel Plant Using Backward Chaining Method Rifki Fahrial Zainal; Rani Purbaningtyas; Dina Zahrotul Fadhilah
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.v4i2.108

Abstract

Apples are one type of food that contains nutrients, vitamins and minerals that are very good for consumption because it has antioxidants that are good for the body. However, in cultivating these apple plants there are many obstacles, especially when the plant is attacked by disease. Diseases that attack apple plants greatly affect fruit production, because it can produce bad fruit and can result in the death of apple trees. The disease attack can be resolved quickly if it is able to identify the type of disease that attacks it quickly and precisely based on the symptoms that appear. So that the impact can be minimized as early as possible. The purpose of this research is to build an expert system of diagnosing diseases in apple plants by using the backward chaining method that can facilitate in providing information about the causes of the emergence of diseases and how to deal with apple plants quickly and accurately. From the application trial results with the Expert Diagnosis System in Apple Plant Diseases Using the Backward Chaining Method, users can find out the symptoms of diseases experienced by apple plants and test results by making comparisons using the forward chaining method the results are the same as backward chaining accuracy level of 100 % input from backward chaining is the same as output from forward chaining.
Forecasting of Total Stock Raw Materials of Double Exponential Smoothing Method (study: PT. Charoen Pokphand Indonesia) Rani Purbaningtyas; Rahmawati Febrifyaning Tias; M. ZAINAL ABIDIN
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.v4i2.109

Abstract

Inventory control at a company is very important in determining the efficiency of warehouse functions. Uncertain information about the availability of goods in the warehouse affects the decision to be taken in determining the amount of ordering goods. So that it has difficulty in predicting stock in the next month. The negative effect in the future if one predicts the stock will experience excessive stock build up. This study aims to create an application that can help facilitate and maximize the performance of warehouse administration employees in predicting the number of goods that must be ordered for the next period. Forecasting method used is the double exponential smoothing method. This method requires data information in previous years so that in this study took data 4 years earlier. With this forecasting method the forecasting results are obtained close to the actual data. From the results of testing the system imposed on 3 data obtained a system accuracy of 60%.

Page 27 of 42 | Total Record : 420

 25   26   27   28   29 

Filter by Year

2016 2026


Reset
Filter By Issues
All Issue Vol. 11 No. 2 (2026): December Vol. 11 No. 1 (2026): JEECS (Journal of Electrical Engineering and Computer Sciences) - In press Vol. 11 No. 1 (2026): June Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): December Vol. 10 No. 1 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 1 (2025): June Vol. 9 No. 2 (2024): December Vol. 9 No. 2 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 1 (2024): June 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