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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 201 Documents
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Implementation of Virtual Reality in Simple Math Quizzes as Children's Learning Platform Muchammad Danief Zulfa Ridloka; Vivy Cahyani; Hatta Zuama Bintang Aulia; M. Mahaputra Hidayat
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (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.v8i1.10

Abstract

This research focuses on the implementation of virtual reality (VR) in simple math quizzes as a children's learning platform. The background of this research stems from the need for innovative and engaging educational tools to enhance children's learning experiences in mathematics. Traditional methods of teaching mathematics often lack interactivity and fail to captivate young learners. By leveraging the immersive and interactive nature of VR technology, this research aims to address these challenges and create an effective learning platform for children. The main problem addressed by the research is the difficulty children often face in grasping mathematical concepts due to their abstract nature. By integrating VR into math quizzes, children can visualize and manipulate mathematical concepts in a virtual environment, fostering a deeper understanding of the subject matter. Additionally, the use of VR can make learning math more enjoyable and engaging for children, leading to increased motivation and improved learning outcomes. The research utilizes a specific model of VR technology to implement the app math quizzes. The exact model used is not specified in the abstract. However, it can be assumed that the chosen VR hardware and software align with the requirements of creating an interactive and immersive learning experience for children. The VR technology allows for the creation of virtual environments where children can interact with mathematical elements and solve quizzes in an engaging manner. In terms of the software development life cycle (SDLC) and design pattern method used in this research, no specific information is provided in the abstract. Further details are required to determine the specific SDLC and design pattern method employed in the implementation of the VR-based math quizzes.
Loading System Analysis of Diesel Generator in PT. Intracawood Manufacturing, Tarakan City, North Kalimantan Zakaria; Ismit Mado
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.v8i2.5

Abstract

Penelitian ini menganalisis sistem pembebanan 6 unit Pembangkit Listrik Tenaga Diesel (PLTD) di PT. Intracawood Manufacturing, Kota Tarakan, Kalimantan Utara. PLTD digunakan untuk menggerakkan peralatan produksi yang digunakan dalam produksi bahan baku dan beban utama. PLTD ini digunakan sebagai pembangkit listrik cadangan saat sumber utama PT. PLN (Persero) Tarakan mengalami gangguan operasional atau padam. Klasifikasi 6 unit PLTD tersebut memiliki daya yang berbeda yaitu: 3 unit (G2, G6, dan G7) dengan kapasitas masing-masing 1000 KVA, 2 unit (G9 dan G11) dengan kapasitas masing-masing 1360 KVA, dan 1 unit ( G12) dengan kapasitas masing-masing 1400 KVA. Besarnya total daya yang dihasilkan oleh genset dipengaruhi oleh jumlah produksi bahan baku yang dihasilkan oleh perusahaan. Metode deskripsi analitik berdasarkan data pengukuran kualitatif pada sisi generator digunakan sebagai analisis pembebanan. Sementara itu, sistem pembangkit paralel diusulkan untuk menggunakan mekanisme tipe sinkron sebagai penyempurnaan dari metode manual. Setelah dilakukan analisa distribusi beban pada masing-masing genset, maka beban listrik yang harus ditanggung oleh masing-masing genset adalah sebesar 4,76 MW dari kapasitas mampu genset sebesar 7,14 MW atau setara dengan 67 persen daya mampu genset
Implementation of ADABOOST Algorithm on C50 for Improving the Performance of Liver Disease Classification Anwar Sanusi; Chrystia Aji Putra; Fawwaz Ali Akbar
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.v8i2.1

Abstract

The liver is a vital organ that is important for humans because it plays a role in regulating hormone cycles, neutralizing toxins, and controlling the composition of blood. Liver disease is a common ailment worldwide. Often, this disease occurs without specific symptoms (asymptomatic). Therefore, liver disease is known as a "silent killer," and it is necessary to quickly and accurately diagnose and treat liver diseases. Data mining technology can be useful for rapidly detecting liver diseases from laboratory diagnosis results. One classification algorithm that can be used is the C50 algorithm. This algorithm is an improvement over the previous C45 algorithm, with several advantages such as efficient memory usage and more concise tree results. However, the C50 algorithm may experience overfitting on complex medical data, requiring the boosting process using AdaBoost. The AdaBoost algorithm can make the C50 algorithm more susceptible to overfitting. Another advantage of the AdaBoost algorithm is its ability to handle imbalanced datasets in terms of target labels. This research used 583 data from UCI machine learning with two target labels: liver and normal. The research results show that the C50 algorithm is capable of identification with an accuracy rate of 74.58%. Furthermore, the C50 algorithm's accuracy can be maximized by AdaBoost to reach 86.44%
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): 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.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.

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