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1st International Conference on Vocational Education and Technology, ICONVET 2018

作者： Ratnaya, I.G. Santiyadnya, N. Suka Arsa, I.P. Electrical Engineering Education Study Program Technical and Vocational Faculty Universitas Pendidikan Ganesha Indonesia

This study aims to provide knowledge in order to save electricity consumption. The use of electrical energy is recorded at KWH meters. Saving electricity means limiting the use of electrical energy according to need. The use of electrical energy is based on the use of electrical power. Technically, this dimmer serves to regulate the use of electrical power. Some electrical equipment has been equipped with dimmers to regulate the operation of the equipment in accordance with the user's want, yet there are still many electrical equipment that is not equipped with dimmers. This is a problem in the efforts to save electricity. The method used in this study is applying passive components in electricity such as inductors, capacitors and resistors. These passive components are arranged to be used as filter circuits. With a 21 mH inductor with an air core, Farad's 12.5 micro capacitor, and 4.7 ohm resistor can be made as a passive filter that is installed before electric loads. The use of this filter circuit can save the use of electricity up to 15% at a load current of 2 amperes. Thus, electricity bill payments can be reduced by up to 15%. In the future, this research can be continued to improve the efficiency of electricity consumption by modifying passive filters. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Passive filters

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The Recommendation System for Increasing the Independence of Micro, Small and Medium Enterprises (MSMEs) Using the Normalized Rating Frequency (NRF) Method 4

The Recommendation System for Increasing the Independence of...

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4th International Conference on Information and Communications Technology, ICOIACT 2021

作者： Lestari, Sri Yulmaini Aswin Kurniawan, Rio Sulyono Pratama, Yan Aditiya Faculty of Computer Science Informatics Engineering Study Program Bandar Lampung Indonesia Faculty of Business Economics Management Study Program Bandar Lampung Indonesia

ISBN: (纸本)9781665433945

Micro, Small, and Medium Enterprises (MSMEs) have an important role in improving the economy of small communities and the stability of the Indonesian economy. However, they still face various problems such as capital, raw materials, distribution, licensing, and others. This study developed a special treatment recommendation system to increase the independence of MSMEs by adopting a ranking-based method to produce recommendations related to problem-solving steps from MSMEs. The ranking method used Normalized Rating Frequency (NRF). This method performed an aggregation process of the ratings given by MSMEs in looking at the priority level of problem-solving based on previous experience. The result of the experiment showed that an average NDCG value was 0.7916. This explained that the quality of the ranking was good so that it was feasible to be recommended in solving problems in the form of special treatment to acquire to the independence of MSMEs. © 2021 IEEE

关键词： Recommender systems

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Artificial Intelligence-Based System 'SiMoniK' for MSMEs 9

Artificial Intelligence-Based System 'SiMoniK' for MSMEs

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9th IEEE Information Technology International Seminar, ITIS 2023

作者： Lestari, Sri Yulmaini Aswin Sulyono Nul Fikri, Ruki Rizal Informatics Engineering Study Program Faculty of Computer Science Bandar Lampung Indonesia Management Study Program Faculty of Economics Business Bandar Lampung Indonesia

ISBN: (纸本)9798350306835

Artificial intelligence was recently implemented in various fields. One of these applied artificial intelligence systems was the Performance Monitoring System "SiMoniK"for MSMEs. This system was designed through the C4.5 algorithm and the Porat-Rank method. The C4.5 algorithm was applied to classify the MSMEs into three classifications, e.g. the micro enterprise classification, the small enterprise classification, and the medium enterprise classification. Moreover, the Porat-Rank method was also applied to distribute the solving-problem recommendations and to improve the independence of MSMEs. The result of this study was that the C4.5 algorithm could classify the MSME data correctly in the form of an accuracy value of 99.2%. Besides, the Porat-Rank method could also provide recommendations in the form of outstanding quality with an NDCG mean value of 0.87. © 2023 IEEE.

关键词： Artificial intelligence

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The Improvement of Personal Service in the MSMEs Marketplace Using a Rank-Based Collaborative Filtering Approach

The Improvement of Personal Service in the MSMEs Marketplace...

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2022 International Conference on electrical and Information Technology, IEIT 2022

作者： Lestari, Sri Yulmaini Aswin Sulyono Nul Fikri, Ruki Rizal Pratama, Yan Aditiya Informatics Engineering Study Program Faculty of Computer Science Lampung Bandar Indonesia Management Study Program Faculty of Business Economics Lampung Bandar Indonesia

ISBN: (数字)9781665453035

ISBN: (纸本)9781665453035

Indonesian MSMEs in 2022 will begin to enter the transformational recovery phase. Various preparations must be made in order to adapt. One that has been done is to increase the number of MSMEs entering the digital ecosystem, such as the MSME marketplace. The MSME Marketplace is used for marketing various MSME products online. The MSME Marketplace must be supported by methods that are able to provide good and fast personal services, considering the types and variety of products offered are increasing in number and varying from time to time. Therefore, this study proposes the Porat_Rank method to produce product recommendations that match user interests quickly so that users are served well. The experimental results show that the Porat_Rank method is superior to the Copelan Score method both in producing recommendations and in processing speed. © 2022 IEEE.

关键词： Collaborative filtering

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Thermomagnetic anomalies in quantum magnon transport caused by tunable junction geometries in cold atomic systems

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Physical Review A 2025年第3期111卷 033312-033312页

作者： Yuta Sekino Yuya Ominato Hiroyuki Tajima Shun Uchino Mamoru Matsuo Interdisciplinary Theoretical and Mathematical Sciences Program RIKEN Wako Saitama 351-0198 Japan Nonequilibrium Quantum Statistical Mechanics RIKEN Hakubi Research Team RIKEN Cluster for Pioneering Research Wako Saitama 351-0198 Japan Waseda Institute for Advanced Study Waseda University Shinjuku-ku Tokyo 169-0051 Japan Department of Physics School of Science The University of Tokyo Tokyo 113-0033 Japan Faculty of Science and Engineering Waseda University Tokyo 169-8555 Japan Kavli Institute for Theoretical Sciences University of Chinese Academy of Sciences Beijing 100190 China CAS Center for Excellence in Topological Quantum Computation University of Chinese Academy of Sciences Beijing 100190 China Advanced Science Research Center Japan Atomic Energy Agency Tokai 319-1195 Japan RIKEN Center for Emergent Matter Science Wako Saitama 351-0198 Japan

We study magnon-driven spin and heat transport in a magnetic linear junction (MLJ) formed by two ferromagnets in optical lattices linked via linearly aligned bonds. Using the Schwinger-Keldysh formalism, we uncover that under weak effective Zeeman fields, where Bose-Einstein statistics of magnons dominate, magnonic criticality dramatically enhances spin and thermal conductances. These singular transport properties depend on the junction geometry, and the transport properties qualitatively differ between the linear junction in this paper and the point contact in our previous work. The quantum-enhanced conductances result in the breakdown of the magnonic Wiedemann-Franz (WF) law. In the classical regime at temperatures much lower than magnon energy gaps, we find that a magnonic Lorenz number becomes independent of temperature yet dependent on junction geometry, sharply contrasting with the universal WF law for Fermi liquids. We also find that the interface geometry of the MLJ decouples spin and heat relaxations between ferromagnets with decay times insensitive to temperature and effective Zeeman fields. These dynamics reveal junction-geometry-sensitive magnon transport distinct from Fermi liquids, paving the way for new avenues in thermomagnetic research leveraging the tunability of cold atomic systems.

关键词： Fermi liquids

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Villages Status Classification Analysis Involving K-Means Algorithm to Support Kementerian Desa Pembangunan Daerah Tertinggal dan Transmigrasi Work programs 1

Villages Status Classification Analysis Involving K-Means Al...

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1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Hasugian, Paska Marto Hutahaean, Harvei Desmon Sinaga, Bosker Sriadhi Silaban, Saranom Informatics Engineering Study Program STMIK Pelita Nusantara Computer Science and Informatics Education Study Program Faculty of Engineering Universitas Negeri Medan Medan20221 Indonesia

Data mining is a technique of extracting information that has not been known before in a collection of data in the database. Data mining has been applied in various fields that require extracting information, some of the work that can be generated with data mining is classification, prediction, and data grouping. In this study, an analysis of village data collection was carried out to explore the potential or knowledge of the data that has been presented with the main objective of producing a grouping of village status. To support clustering or grouping activities the K-means algorithm used with the general process is to carry out the modeling process without supervision and is one of the methods for grouping data with a system partition, with the principle of allocating each data to the centroid or the closest average, work steps conducted in support of this research is to collect data related to the analysis of data grouping and proceed with the calculation process in accordance with the work steps of the K-means algorithm, the amount of data used as a test of 303 villages scattered in the old Padang regency. The results of calculations by displaying a new group of Cluster 0 is occupied by 120 villages, cluster 1 with a total data of 123 villages, Cluster 2 with a total of 6 villages, cluster 3 with a total of 33 villages while cluster 4 with a total of 21. © 2020 Published under licence by IOP Publishing Ltd.

关键词： K-means clustering

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Analysis of emotional condition based on electrocardiogram signals 1

Analysis of emotional condition based on electrocardiogram s...

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1st International Conference on electrical engineering and Computer science, ICEECS 2014

作者： Hardani, Dian Nova Kusuma Wahyunggoro, Oyas Nugroho, Hanung Adi Faisal, N. Department of Electrical Engineering and Information Technology Universitas Gadjah Mada Yogyakarta Indonesia Study Program of Electrical Engineering Faculty of Engineering Muhammadiyah University of Purwokerto Purwokerto Indonesia

ISBN: (纸本)9781479984770

Emotion is a mental condition that appears spontaneously based on self-conscious effort and usually followed by physiological changes. Emotion is especially caused by stimulation. The related information with emotional condition by someone is communicated to all body through ECG. Therefore, it is important to conduct a research in analysis of emotion based on the measurement of ECG. Data emotion was categorised according to the stimulation that had been given to the subject by using video and music as long as ECG recorded. ICA method analysis with FastICA algorithm could be developed to obtain emotion feature. Feature classification was based on statistical approach from the independent component with higher of kurtosis value. The proposed method in classification was based on decision tree using Random Forest algorithm. The classification result shows that the emotional recognition based on ECG signals can be well implemented by system. The developed method successfully classifies the emotional condition from ECG signals. The method achieves the accuracy of 92.2% for identification of neutral emotion, 93.9% for negative emotion and 92.1% for positive emotion. The value of ICSI is obtained about 81.2% for neutral conditions, 88.3% for negative emotions and 85.1% for positive emotions, it means that the system is successfully to classify individually and effective for overall. © 2014 IEEE.

关键词： Electrocardiograms

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Calibration of 100 A/50mA instrument current transformer energy meter using bisection method 2

Calibration of 100 A/50mA instrument current transformer ene...

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2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

作者： Bimantoro, Renardi Ardiya Rahardjo, Amien Husnayain, Faiz Aryani, Dwi Riana Hudayala, Chairul Universitas Indonesia Department of Electrical Engineering Faculty of Engineering Depok16424 Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Depok16424 Indonesia

ISBN: (纸本)9781728128252

Instrument current transformers (CTs) are widely used in various types of electrical energy measurement. Eddy current losses, losses of hysteresis, a saturation of CT, and inevitable flux leaks could lead to errors including errors in the ratio and phase angle. Improving the accuracy of CT measurement could be achieved in many ways. In this study, a bisection calibration method to overcome the error by implementing correction factor integrated with the Arduino codes is investigated. The reliability of this system has been tested in two different situations, which are a constant and variable load experiments. The result shows that the readout of the developed instrument using 100 A/50mA CT could achieve the deviation value of less than 2%, confirming the excellence accuracy of energy meter. © 2019 IEEE.

关键词： Electric instrument transformers

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Batik Industrial Waste Monitoring and Control System Based on the Internet of Things 5

Batik Industrial Waste Monitoring and Control System Based o...

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5th International Conference on electrical, Electronics, Informatics, and Vocational Education, ICEELINVO 2022

作者： Ali, M. Firdaus, M.F. Electrical Engineering Education Department Faculty of Engineering Universitas Negeri Yogyakarta Indonesia Electrical Study Program Vocational School Universitas Negeri Yogyakarta Indonesia

The aims of this research are to (1) Design and build a Batik Industrial Waste Monitoring and Control System Based on the Internet of Things (BIWMCS -IoT);(2) Test the performance of the BIWMCS-IoT system. The design and implementation of the BIWMCS-IoT system consist of five stages, namely: (1) Needs analysis, (2) Design, consisting of electronic planning, hardware, and software;(3) Development, including hardware and software development;(4) Testing, and (5) implementation. The BIWMCS-IoT system consists of a sensor unit to measure the parameters of water turbidity, temperature, Power of Hydrogen (pH), and the flow velocity of the wastewater then obtained by the microcontroller and the results are sent to the Wi-Fi module to adjust the solenoid valve opening and closing. Based on the testing of the system, has been shown that the BIWMCS-IoT system can work well according to the standards in the Minister of Indonesian Environment Regulation Number 05 of 2014. The reading accuracy of the batik waste monitoring system reaches 96.6% with the delivery time to the smartphone less than 30 seconds. This shows that this system can work well to monitor and control the liquid waste produced by the batik industry. © Published under licence by IOP Publishing Ltd.

关键词： Internet of things

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Evaluation electrical System of Mini Plant Waste Energy on Institut Teknologi PLN 2

Evaluation Electrical System of Mini Plant Waste Energy on I...

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2nd International Conference on Converging Technology in electrical and Information engineering, ICCTEIE 2023

作者： Pawenary Listiawati, Dwi Hendri Insitut Teknologi PLN Electrical Engineering Study Program Faculty of Electricity and Renewable Energy Jakarta Indonesia

ISBN: (纸本)9798350370645

Waste is a problem in almost every region, especially related to how the processing of waste can be converted into other forms as a form of energy that can be utilized, one of which is waste processing by pyrolysis is one of the technologies to convert waste into useful energy or fuel. At this time waste processing requires waste processing machines ranging from organic and un-organic waste shredding machines, briquette processing machines, pellets, using star-delta 3-phase motors, generally still conventional/manually. Current research, the author began to develop a waste and flue gas particle handling machine, a non-incinerator pyrolysis machine with the wet method, a high efficiency cyclone system which originally used a machine manually/ conventionally, replaced with a Delta series Star - Delta series with interlock and interface) automatically. Garbage processing The machine in addition to aiming to reduce waste waste, the machine must be made automatically and friendly to the operator who runs it. © 2023 IEEE.

关键词： Pyrolysis

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