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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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Model View Controller Method For Animal Care (Petcare) Information System At Niz Petcare Lawang Iqbal Ramadhani Mukhlis; Deny Hermansyah; Tika Ayu Hariyanti
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): 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.v8i2.2

Abstract

Pet Care is a company that offers animal care services that are equipped with a variety of pet shop products such as food, vitamins and care. In addition to Daily Pet Care selling pet supplies and also offering animal medical and treatment services. on one computer. Pet sitting services are one of the best solutions for the majority of Indonesian people who have pets but have to travel far and cannot bring their pets with them. The owners of Niz Petcare see this as a great business opportunity. However, currently they still use manual recording in their business processes, sometimes resulting in loss of material and customer confidence. The purpose of this research is to solve this problem by designing a flow and design of a petcare application prototype that is integrated and more organized using information technology that is developing rapidly and makes it easier for customers to access online. Given these needs, the authors apply the prototyping method to accommodate these needs. The implementation of making software uses the model view controller (MVC) method which adopts the CodeIgniter framework. In this study, an evaluation was carried out using UAT and Usability Testing with ISO/IEC 9126. The evaluation results show that the application of the MVC method can produce good software products that work according to their functionality. Based on the ISO/IEC 9126 percentage, the criteria with the greatest value for understanding on P05, P07, and P09 is 89%, usability on P05 is 89%, and learning on P07 is 89% and 88% power handling at P10. From the results of the summary of the evaluation, it can be concluded that there are if the users of the system are owners, customers, administrators, fully aware of the ease of understanding, learning, use and attractiveness of the NIZ pet care information system created
HSABC Algorithm for Economic Operation Emission Based AN Afandi; Farrel Candra Winata Afandi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): 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.v8i2.9

Abstract

The total cost of maintaining the energy infrastructure is one of the most important problems. Technically, this issue considers the fuels and emissions of generating units working within specific parameters in an Economic Operation Emission Based (EOEB). This study evaluates the performance of the Harvest Season Artificial Bee Colony (HSABC) Algorithm in search of the best EOEB solution. To compute the EOEB issue on the IEEE-62 bus system, simulation programming techniques are applied based on HSABC Algorithm. The simulation findings indicate that the investigated approaches have a range of characteristics, speed, starting, and statistical value values.
Implementation of Multi-Attribute Utility Theory Method for Selecting Social Assistance Recipients Wahyu Widodo; irsyad Panca Gunawan
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): 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.v8i2.3

Abstract

Amil Zakat Infaq and Shadaqah Muhammadiyah Institution (LazisMu) Ayah is one of the national amil zakat institutions located in Ayah District, Kebumen Regency. Every month, LazisMu Ayah Service Office provides assistance to people in need in the form of house renovation programs, scholarships for high school or college level education, and business capital. The problem that is often encountered in determining potential aid recipients is that the large number of requests for aid is disproportionate to the number of officers processing the screening data. Apart from that, the selection process for aid recipients still uses manual methods, so it often causes problems such as the selection process for selecting aid candidates taking up to a week and miscalculations occurring, resulting in inaccurate results in the selection of potential aid recipients. Therefore, the method used as a solution model in providing decisions on the system for selecting potential aid recipients at LazisMu Ayah is a decision support system using the multi-attribute utility theory (MAUT) method. This method was chosen because it is able to select the best alternative from a number of alternatives, in this case, the intended alternative is people who are entitled to receive assistance based on 10 criteria. The results of the black box testing show that the system created is in accordance with the design and can be used as a tool. making decisions on determining aid recipients, so that LazisMu Ayah services can be improved because the selection process becomes faster, more accurate, and on target.
Educational Data Mining for Mapping Student Ability Based on School Location Using Apriori Method Case Study : SMK YPM Sidoarjo M. Mahaputra Hidayat; Rifki Fahrial Zainal; Andi Alfian Efendi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): 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.v8i2.6

Abstract

With the advancement of information technology today, the need for accurate information is needed in everyday life, so that information will become an important element in the development of society today and in the future. However, the high need for information is sometimes not matched by the presentation of adequate information, often the information still has to be re-excavated from very large amounts of data. Traditional methods of analyzing existing data, cannot handle large amounts of data. Basically Senior High School is programmed for those who continue to a higher level, while the provision of skills can be said to be non-existent. Vocational High Schools can produce quality graduates in terms of work skills, therefore currently many companies require graduates from Vocational Schools. The purpose of this study is to create an application to obtain useful information about mapping the value of subjects, especially English at YPM Vocational School in Sidoarjo with data mining techniques and Apriori method. From the results of system testing, it shows that there is still a lack of National Examination Scores for English in most YPM Vocational Schools in Sidoarjo.
Prediction of Skincare Sales Turnover Using the Support Vector Method at the Widya Msglow Sidoarjo Company Oktaviana Isbirotin; Wiwiet Herulambang; Rahmawati Febrifyaning Tias; Rangsang Purnama; Ahmadi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): 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.v8i2.10

Abstract

Every entrepreneur will certainly follow technological developments in the business world. MsGlow is one of theskincare businesses. The skincare business is one of the businesses that must compete with rapid and complexchanges, and this very competitive makes business people have to think of strategies for business continuity in order to compete and also survive. One way that can be done is to utilize existing sales data. The importance of fast andprecise operational data processing, information system facilities can be an alternative to solving problems in dataprocessing, minimizing errors and accelerating the data processing process. As the number of sales transactionsincreases, there will be a buildup of data that has not been processed optimally. With the above problems, aforecasting system was created that can forecast skincare sales turnover using the Support Vector Machine (SVM)method. In this study, turnover in several areas will be forecasted. The kernel function variations used in SupportVector Machine (SVM) are RBF, Linear, and, Polynomial Degree 2. The results obtained from this research trialshow that the overall forecasting model is good. The accuracy of the three areas obtained with the RBF kernel has arelatively good MAPE. In the accuracy test to predict skincare sales turnover, the three areas got a fairly goodaccuracy value of 94.46%. In the Sidoarjo area, it is predicted that there will be a lot of decrease in turnover in 2023-2024.
The Study of The Potential and Feasibility of Utilizing Biogas Energy as Power Plant at PT. BTSB Jember Ahmad Aulia Reja; Sofia Ariyani; Aji Brahma Nugroho; Mokh. Hairul Bahri; Sutikno
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): 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.v8i2.4

Abstract

The limitation and scarcity of energy sources derived from fossil fuels necessitate the solution of utilizing renewable and replenishable alternative energy sources such as biogas. PT. BTSB (Biro Teknik Sinar Baru) is one of the companies in Jember Regency that has started utilizing biogas energy. However, the utilization of biogas is limited to cooking purposes only. Despite being used only for cooking, biogas can also be utilized as a source of electrical energy.Therefore, in this study, an analysis is conducted to determine the potential of biogas at PT. BTSB that can be utilized as a source of electrical energy. The first step taken in this research was to collect data from PT BTSB Jember regarding biogas which includes: number of cow, target of biogas volume, temperature in digester tank, pressure in digester tank, and methane (CH4) content in biogas. Based on this data, further calculations will be performed for mol of biogas, volume of biogas, electrical energy and power, conversion and production of energy and electrical power, and cost of energy production. Based on the research results, it is known that PT BTSB yields an average of 5.15 m³ of biogas per day and a potential of 57.53 kWh of electrical energy per day. With a cost of around Rp. 23,274,117 per day for each kWh, electricity from PT. BTSB’s biogas proves to be cost-effective. Thus, the biogas energy at PT. BTSB has the potential to be used as a biogas power plant.
Battery Health Monitoring System Lithium-Ion Based on Fuzzy Logic Yogo Bekti Firmanto; Ahmadi Ahmadi; Rangsang Purnama; Wiwiet Herulambang
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 1 (2024): June
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v9i1.3

Abstract

Batteries that can store electrical energy and are easy to carry make them the most practical technology choice as an electricity source. Even so, lithium-ion batteries are not free from the risk of damage when used. Therefore, a Lithium-ion battery health monitoring system was created. This system uses the INA219 sensor as a current and voltage detector and the DS18B20 sensor as a temperature detector. Arduino as a data process. The test results show that all components function well. In battery capacity testing, the highest error was 1.8%. For the DS18B20 sensor as a temperature sensor, an error of 2.4% was obtained. Testing capacity against temperature on the battery when the temperature was 25 C, the current was 485mAh; when the temperature was 44.8 C, the current was 550mAh, there was a difference of 65mAh or 11%. This difference corresponds to the difference in battery capacity. Testing using the Fuzzy Logic method was carried out on 3 batteries with different capacities to obtain the State of Health (SOH) value for each battery. Testing is carried out in real-time, as well as Matlab simulation. In battery test 1, with a capacity of 2200mAh and the highest temperature of 32.1 oC, the device's State of Health (SoH) was 90%, and Fuzzy Matlab was 87.6%. Battery 2, 1500mAh capacity with the highest temperature of 33.4oC obtained State of Health (SOH) of 60%, Fuzzy Matlab 60%. Battery 3 Capacity 2200mAh, Highest temperature 32.2 oC, State of Health (SOH) of 90%, Fuzzy Matlab 87.6%. The test results show that the overall error is still below 5%. A properly functioning Internet of Things (IoT) system can display information on lithium-ion batteries' State of Health (SoH) on devices and smartphones.
Detection Diabetic Retinopathy with Supervised Learning Adithya Kusuma Whardana; Parma Hadi Rantelinggi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): 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.v8i2.7

Abstract

Diabetic retinopathy is a common complication that occurs in people with diabetes mellitus. Diabetic retinopathy damage is characterized in the blood vessel system in the layer at the back of the eye, especially in tissues that respond to light. This research aims to detect diabetic retinopathy early by using SVM and Random forest. SVM is a classification technique that divides the input space into two classes. Random Forest is a supervised learning algorithm that utilizes a collection of decision trees trained using the bagging method. This research uses datasets from diaretdb1 and messidor to evaluate the performance of both methods. The diaretdb1 dataset consists of 178 data points with the diagnosis of Proliferative Diabetic Retinopathy and Non-Diabetic Retinopathy. In addition, the messidor dataset consists of 105 data points with the diagnosis of Diabetic Retinopathy and Non-Diabetic Retinopathy. Experimental results on the diaretdb1 dataset showed that SVM achieved 88% accuracy, while Random Forest achieved 91% accuracy. Similarly, on the messidor dataset, SVM achieved 80% accuracy, while Random Forest achieved 85% accuracy.
Design of Thrift Shop E-Catalog Information System Using PHP and Javascript (Case Study: Meytwins Thrifting) Christina Meylianti; Muhamad Femy Mulya; Pramitha Dwi Larasati; Saipul Anwar
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): 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.v8i2.8

Abstract

Currently, there is a popular trend among the younger generation regarding the use of used clothes. What's interesting is the emergence of the online thrift shop, which is a type of business that is booming in the fashion sector by selling used clothes through online platforms. Generally, these business people get clothing supplies in the form of bales (sacks) imported from abroad. The Online Thrift Shop has received a positive response from many young people by offering clothing that has a unique style in a retro or vintage atmosphere from the 90s, as well as world-famous brands. However, one of the obstacles faced by the online thrift shop is the mismatch between the products received by consumers and what was initially displayed by the seller. There are situations where the goods delivered to consumers do not match the description given by the seller. This phenomenon is one of the shortcomings that need to be considered in online thrift shop operations. There are many online shops that sell goods to consumers that do not match what is offered. This makes consumers' shopping confidence and comfort less comfortable. The aim of the research is to build an information system in the form of an e-catalog that can simplify the buyer process without having to come to the store, as well as provide information related to fashion products that are suitable for consumers or customers. In this research, we used the prototype method, then for the system design tools, we used UML modeling, and for database modeling, we used ERD. Information system built using PHP and Javascript. Then, based on the test results using BlackBox Testing from several respondents, the success rate of the system built was 95%. Keywords: E-Catalog, Prototype, PHP, Javascript, Blackbox Testing
Analysis of Voltage Drop and Power Losses on Medium Voltage 20 KV Distribution System Kotamobagu Area Supplied from PLTD Kotamobagu Yuslizar E.P. Bachari; Yasin Mohamad; Taufiq Ismail Yusuf; Lanto Mohamad Kamil Amali
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 1 (2024): June
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v9i1.9

Abstract

Drop voltage and power loss at the distribution system of electricity power in the Kotamobagu Area are caused by several factors, a namely far distance of a place that is distributed by electricity power from the source, imbalance load, equipment age, the diameter of the conductor, a distance of powerhouse to the consumer is too far and connection point are caused for technical loss. If it keeps happening, it will decrease the reliability of the electric power system and the distributed quality of the electricity power as well as it can damage the equipment. Therefore, unbalanced loading should be decreased at the phase, and overloading at the network will cause PT PLN (Persero) loss in the Kotamobagu Area. This research aims to analyze voltage drop, percentage of voltage drop, and power loss at every medium voltage feeder of 20 KV that is supplied from PLTD (Steam Power Plant) Kotamobagu until every transformer of distribution at peak load. After it is analyzed, the feeder OK 1, OK 2, OK 3, OK 4, OK 5 obtain the most significant value of drop voltage for 7.221 KV, 1.94 KV, 6.472 KV, 5.04 KV, 4.878 KV, respectively, with a percentage value of 56.507%, 10.742%, 47.841%, 33.689 %,32.257%. All OK happen at powerhouse K-153 (Kobo Besar), K-158 (RS. Monompia Kotamobagu), K-187 (Poopo I), K-201 (Motoboi Kecil), K-287 (Moyag I), respectively. The most significant power loss of 11.890 KW, 4.820 KW, 9.819 KW, 7.311 KW, 10.533 KW happen at powerhouse K-140 (Matali I), K-158 (RS. Monompia Kotamobagu), K-167 (Bilalang V), K-201 (Motoboi Kecil) and K-287 (Moyag I), respectively.

Page 37 of 42 | Total Record : 420

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