BEES: Bulletin of Electrical and Electronics Engineering
BEES: Bulletin of Electrical and Electronics Engineering focused on the energy system and power engineering, which is related to advance and develop technology on a wide-scope of all partial themes, but not limited, such as Control System, Artificial Intelligence, Informatics Engineering, Electronics, Advanced energy material, Automatic power control, Battery technology, Distributed generation, Distribution system, Electric power generation, Electric vehicle, Electrical machine, Energy optimization, Energy conversion, Energy efficiency, Energy exploitation, Energy exploration, Energy management, Energy mitigation, Energy storage, Energy system, Fault diagnostics, Green energy, Green technology, High voltage, Insulation technology, Intelligent power optimization, Monitoring operation, Motor drives, Natural energy source, Power control, Power data transaction, Power economic, Power electronics, Power engineering, Power generation, Power optimization, Power quality, Power system analysis, Power system information, Power system optimization, Protection system, Renewable energy, SCADA, Security operation, Smart grid, Stability system, Storage system, Transmission system, and etc.
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<![CDATA[Penerapan Metode K-Means Dalam Menentukan Klasifikasi Produk Pembelian Pelanggan ]]>
<![CDATA[Kevin Noel Nababan]]>
<![CDATA[ BEES: Bulletin of Electrical and Electronics Engineering Vol 3 No 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bees.v3i2.1129
<![CDATA[According to the survey, there are approximately 3,500 types of food and non-food products available at competitive prices, meeting almost all the daily needs of consumers. With a fairly large number of transactions, companies need analysis and classification tools to provide useful information for companies in determining the layout of goods, what goods are most in demand by consumers and others. Determination of the layout of food and beverage products is carried out to make it easier for consumers to find food and beverage products so as not to disappoint consumers in finding the location of which products are suitabel to be combined with other products that are often in demand by consumers so that consumers can save time. Based on the description above, a data mining analysis tool is needed using Association Rules to be processed using the K-Means method. Currently, the utilization of the available data has not been maximized, it is only limited to making reports.]]>
<![CDATA[Kombinasi Metode AHP dan Metode OCRA Pada Sistem Pendukung Keputusan Pemberian Reward Pada Karyawan ]]>
<![CDATA[Brien A F Hutagalung]]>
<![CDATA[ BEES: Bulletin of Electrical and Electronics Engineering Vol 3 No 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bees.v3i2.1130
<![CDATA[In carrying out their work, every officer or employee certainly has competence that can be relied on. Competence becomes the provision and capital for employees to work professionally. This competency must continue to be honed and improved for employees so that employees' contributions to the agency or organization in the future will be even better. Competence is the main variable that an employee must have in carrying out his work so that the competence he has can help employees carry out their work according to predetermined targets. It is stated that competence is a basic characteristic possessed by a person that directly influences performance or can predict excellent performance. It could be said that competence is what outstanding performers do more often and more. Decision Making on Giving Rewards to PT. Matahari Department store is still not good. This is because subjective elements dominate so that employees with good performance do not have the opportunity to obtain these rewards. In order to provide rewards to employees more precisely and evenly, researchers created a more systematic program design in a Visual Basic Net application system. 2010 by applying a combination of AHP and OCRA methods, where this method makes decisions based on the highest value of each alternative and the values of previously determined criteria. A decision support system is an interactive system that supports decisions in the decision-making process through alternatives obtained from the results of data processing, information and model design using a combination of AHP and Ocra methods. A trial was carried out to enter a data sample of 10 candidates for receiving the reward. With the Decision Support System, it can provide recommendations for reward recipients based on ranking, from 10 potential reward recipients based on the highest ranking, namely: Alternative 1 with a value of 0, Alternative 2 with a value of 0.0339.]]>
<![CDATA[Smart Farm Hydroponics berbasis IOT dengan NodeMCU ESP8266 ]]>
<![CDATA[Rahmad Doni]]>;
<![CDATA[Iwan Fitrianto Rahmad]]>
<![CDATA[ BEES: Bulletin of Electrical and Electronics Engineering Vol 3 No 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bees.v3i2.1293
<![CDATA[The development of information technology is increasing rapidly from time to time, information technology can be felt directly by humans and has experienced significant changes in several sectors of life. One form of progress in the field of information technology is the Internet of Things (IoT) platform. Agriculture is an important sector for people's lives. Hydroponics is a method in agriculture that can cultivate plants without the need for land, but uses water and nutrient solutions as a planting medium. This hydroponic cultivation has many advantages including more practical maintenance and more controlled pest disturbances, does not depend on natural conditions, and can be done on limited land. To optimize agricultural products, farmers need to get nutritional conditions, solution pH and temperature in real time to be able to make the right decisions for what crops to plant. The process of decreasing the temperature from 360 Celsius to 340 Celsius lasts ± 3 minutes. And the provision of plant nutrition is carried out by order through the Blynk application.]]>
<![CDATA[Prototipe Sistem Pemantauan Tegangan Drop pada Sel Baterai 110 Vdc berbasis Aplikasi Telegram ]]>
<![CDATA[Asrul Asrul]]>;
<![CDATA[A. Abd. Jabbar]]>;
<![CDATA[Ashadi Amir]]>
<![CDATA[ BEES: Bulletin of Electrical and Electronics Engineering Vol 3 No 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bees.v3i2.3115
<![CDATA[Batteries are electrochemical devices as a source of DC voltage that is quite reliable and has high stability, so that the 110 Vdc Battery has a very important role at the substation (GI) to operate the driving motors at the voltage breaker (PMT), disconecting switch (PMS), supply PLC and telecommunication equipment in the SCADA system, as well as protection relays. If the 110 Vdc battery does not work properly, it can result in a major interference with the GI. So to help optimize battery maintenance, it needs an indication tool so that the battery can last a long time and can prevent damage to the battery prematurely. In this study, a voltage drop monitoring and detection system will be designed on 110 Vdc battery cells. The data will be forwarded to the database via the NodeMCU device to be sent to the Telegram application on the smartphone. The test was carried out by compiling 80 battery cells with a voltage of 1.5 volts in series to produce a voltage of 110 Vdc. Test results of the accuracy level of voltage readings achieved an average accuracy of 99.58% with an average difference of 0.42% while the test results of sending voltage data for each group were successfully carried out with excellent response and were able to display data / information on voltage values and conditions in telegram applications.]]>
<![CDATA[Implementasi Algoritma Clustring K-NN Pada Klasifikasi Siswa Berprestasi ]]>
<![CDATA[Fince Tinus Waruwu]]>
<![CDATA[ BEES: Bulletin of Electrical and Electronics Engineering Vol 3 No 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bees.v3i2.3168
<![CDATA[Determining outstanding students in an educational institution is a decision made based on variables that are considered capable of determining student achievement. Therefore, in its determination, it is hoped that there will be minimal errors, so that qualified technology and techniques are needed. In determining the outstanding students, the K-NN (K-Nearest Neighbor) technique was used. K-NN is a classification technique that is able to handle an object with various patterns in a large number. This method will group the data obtained with neighboring data based on their distance. This method is often used because it is very simple and easy to understand. This research produced outstanding students at Islamic Imam Islamic boarding schools by looking at the variables used as benchmarks for students.]]>
