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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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Implementation of K-Means Clustering Method to Lecturers Based on Publications of National Journals and Accredited Sinta Dahnial Dahnial
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.v8i1.4

Abstract

Lecturer research or scientific results published both nationally and with Sinta accreditation. This is done to determine the level of publication of lecturer research results that have been published so that they can be easily disseminated so that the knowledge gained influences knowledge in general and has an impact on people's lives. The problem in this research is how to apply the K-Means clustering method with reference to the results of lecturer research publications based on national journals and sinta accredited journals. In this study, the researchers used the K-Means method, which has the goal of minimizing the objective function that has been set in the clustering process and maximizing the variation of data in other clusters. So researchers will look for the best number of clusters in the K-means method. The discussion is carried out based on the data that has been collected in the form of national journal weights and sinta accredited journal weights by utilizing Matlab R2013b software. From the results of system testing, lecturer clustering was obtained related to the results of journal weights, namely lecturers with high national scores and no sinta accreditation weights, lecturers with quite high national weights and high sinta accreditation weights, moderate national weights and low sinta accreditation weights, low national weights and high weights with low Sinta accreditation. This study resulted in the conclusion that the data was processed through several stages, starting with calculating the weight value of each issue of the national journal and sinta accredited journal. Then the results of these weights are recapitulated based on each lecturer so that it can be seen the total value of the lecturers' weights in publishing research results in the form of journals that have been published both in the form of national publications and sinta publications.
Implementation of Least Square Algorithm to Predict Monthly Revenue (Case Study: Djuju’s Grocery Store) Aditya Rizqi Ardhana; Chrystia Aji Putra; Andreas Nugroho Sihananto
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.v8i1.3

Abstract

Business owners need to estimate their revenue, which is crucial for the sustainability of their operations. Thus, entrepreneurs such as micro, small, and medium-sized business owners, as well as owners of grocery stores, leverage technological advancements to maximize their sales operations. However, manual sales activities can pose challenges for managing sales data, such as disorganized sales record keeping, failure to record sales of high-volume customers, and time-consuming manual reporting for revenue predictions. To address these issues, researchers have developed a revenue prediction information system. In this study, revenue and profit predictions for the following period were calculated using the Least Square algorithm with the Mean Absolute Percentage Error (MAPE). An example calculation for a 12-month period resulted in a revenue forecast of Rp. 2,837,687.76 for the month of June 2023 with a MAPE of 12.71%.
Implementation of Virtual Reality for Photography Exhibitions Rizky Syahputra Setyawan; M Mahaputra Hidayat; Lutfia Febrianti; Moch Alif Firmansyah
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.v8i1.6

Abstract

Art exhibitions are one way to communicate a work of art while displaying creations that can be enjoyed by visitors. However, it takes a very high cost to make a good exhibition hall, and many people are too lazy to go to the exhibition if it is just to look around. In this era of technology 4.0, many new innovations have emerged in human life, one of which is virtual reality. Virtual reality is increasingly being used as an alternative to visiting a place without having to come there directly. This research aims to create an Android system using virtual reality that provides an experience to users viewing works virtually. Virtual reality prepares a representative space to display works and also does not need to incur high costs while still providing quality and complete information from exhibition speakers. This research was built using Blender and Unity.  In the application design analysis, there are four main stages: (1) analysis, (2) design, (3) product development, and (4) product testing. The results of the assessment conducted by the virtual reality lecturer obtained an average result of 89%. In addition, the results of trials for students obtained an average percentage of 94% and were included in the very good category. The results of this study show that AR has indeed proven feasible to be used as a learning medium in introducing photographic works with 2D and 3D Animation, and therefore the potential to make exhibitions in VR is also used for other courses and learning. The result of this research is that an Android-based virtual reality system can simulate the exhibition of artwork.
Application of Certainty Factor Method to Web-based Expert System for Chicken Disease Diagnosis Adam Ridwan; M Mahaputra Hidayat; Rifki Fahrial Zainal; Rahmawati Febrifyaning Tias; Rangsang Purnama; Akhmad Najmul Irfani; Noer Firda Yuana Ridhawaty
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.v8i1.5

Abstract

This research aims to design an expert system to diagnose diseases in chickens. This system is designed to assist farmers in identifying diseases in chickens accurately and quickly. This expert system was built using the Certainty Factor method. Chicken disease data is collected from trusted sources, and rules are made to support the diagnostic process. This application is used to assist users in identifying chicken diseases based on the symptoms they input. This expert system is tested to see its ability to provide accurate and useful diagnosis for users. Therefore, this expert system of chicken disease diagnosis can be a useful solution in the field of animal husbandry.
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.
Development of Employee Online Attendance System using Webcams and Web-Based Location (Case Study of CV. OTW Computer Gusaha) Bagus Ramdana Kurnia Aji; M Mahaputra Hidayat; Alifia Julianti; Ahmad Arif Muzzani
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.v8i1.7

Abstract

Attendance is an activity of data collection to determine the number of people present at an activity in an institution or company. In the previous era, attendance at CV. OTW Computer Gusaha was still done manually through paper, which was very ineffective and inefficient, resulting in attendance data not being well stored. To solve this problem, a reliable and efficient online attendance application is needed for users. The purpose of this application is to improve the efficiency of the attendance process, facilitate monitoring and evaluation, and minimize the risk of fraud in the attendance process. The method used is the geolocation method. The results of this research show that an online attendance system using a webcam and a web-based location can improve the efficiency of CV. OTW Computer Gusaha and increase the discipline and responsibility of employees.
Monitoring and Control System of Parallel Loads Electricity Consumption Based on IOT M. Teguh Adkhar; Hasti Afianti
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.v8i1.8

Abstract

This paper discusses the design of a power consumption monitoring using telegrams and LCDs. Monitoring of electrical energy consumption is carried out for overconsumption does not occur as well as safeguarding the electronic devices used. The relay will automatically disconnect the power source in every room when the power is overloaded and this condition is reported via the internet network with the Telegram application. To monitor power usage, it is necessary to measure it. Measurement in this study used a digital multi-meter and the PZEM-004T sensor. Measurements were made on ten electrical loads including Lights, fans, laptop chargers, cell phone chargers, soldering iron, grinders, iron hand drills, drill bits, and circular grinding wheels. The test to compare PZEM-004T and multimeter has been done, resulting in voltage error values of 0.048-1.347% and current error values of 0-35.484%. From the error value obtained in this test, it can be concluded that the PZEM004T is suitable for measuring current and voltage. Automatic control in the relay works when rooms 1, 2, 3, or 4 experience power readings that exceed the desired capacity. It will automatically cut off the voltage from the source so that excess power does not occur, the goal is to protect an electric circuit.
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
Electrical Energy Audit in Pakuwon City Mall 2 Building for Efficiency Ade Kristanto; Saidah
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.v8i1.9

Abstract

This study conducted an electrical energy audit activity at the Pakuwon City Mall 2 (PCM2) Surabaya Building to determine the utilization of electrical energy in the electrical system which includes the type of energy, amount of energy used, energy equipment, energy intensity, load profile, the performance of energy equipment, Energy Saving Opportunities (ESOs) and value of Energy Consumption Intensity (ECI) in an air-conditioned room. From the calculation results is obtained that the value of ECI in the PCM2 Surabaya Building for an AC room is 8.231 kWh/m2/month and 98.772 kWh/m2/year and is included in the efficient criteria. Based on the research that has been done, it is known that most of the rooms in the PCM2 Surabaya Building have ideal room temperatures. The results of measuring the strong level of lighting in PCM2 Surabaya's rooms, most of the values met the standards set by SNI 03-6197-2000 and the results of measuring the quality of electric power in PCM2 Surabaya met the standards set by PLN.
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%

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