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Erwin Nashrullah - IEEE Xplore Author Profile

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Author details

Erwin Nashrullah

Publications

5

Citations

5

Publications by Year

20182023

Co-Authors:

Dhika Rizki AnbiyaMuhammad AriefZaid CahyaAbdul HalimAhdul Halim

Show All Co-Authors (14)

Erwin Nashrullah

Affiliation

Research Center for Energy Conversion and Conservation

National Research and Innovation Agency

Serpong, Indonesia

Publication Topics

Support Vector Machine,
Decision Tree,
Highest Accuracy,
K-nearest Neighbor,
Learning Algorithms,
Machine Learning,
Random Forest,
Test Data,
Training Data,
Additional Filtering,
Artificial Neural Network,
Autoencoder

Publications

5

Citations

5

Publications by Year

20182023

Co-Authors:

Dhika Rizki Anbiya
Muhammad Arief
Zaid Cahya
Abdul Halim
Ahdul Halim

Show All Co-Authors (14)

Author's Published Works

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Showing 1-5 of 5 results

Conferences (5)

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Single Year
Erwin Nashrullah(5)
Junanto Prihantoro(3)
Ahdul Halim(1)
Pradika Wahyu Dwi Putra(1)
Muhammad Arief(1)
Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, West Java(1)
Research Center for Energy Conversion and Conservation National Agency of Research and Innovation, Jakarta, Indonesia(1)
Electrical Engineering Department Faculty of Engineering, University Of Indonesia, Depok, Indonesia(1)
National Research and Innovation Agency, Jakarta, Indonesia(1)
Research Center for Energy Conversion and Conservation, National Research and Innovation Agency, Serpong, Indonesia(1)
2018 4th International Conference on Nano Electronics Research and Education (ICNERE)(1)
2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)(1)
2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE)(1)
2023 IEEE International Conference on Data and Software Engineering (ICoDSE)(1)
2023 International Workshop on Artificial Intelligence and Image Processing (IWAIIP)(1)
IEEE(5)
Bandung, Indonesia(1)
Hamamatsu, Japan(1)
Jakarta, Indonesia(1)
Toba, Indonesia(1)
Yogyakarta, Indonesia(1)
Machine Learning(3)
Support Vector Machine(3)
Decision Tree(2)
Electric Power(2)
Highest Accuracy(2)

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Results

Performance One Stage Layer Object Detection Model to Count People using Various Backbones

Junanto Prihantoro;Pradika Wahyu Dwi Putra;Erwin Nashrullah

2023 International Workshop on Artificial Intelligence and Image Processing (IWAIIP)

Year: 2023 | Conference Paper |

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The development of computer vision involving artificial intelligence has been applied in several sectors. People counting is not only a tool for measuring the number of people but also a key element in security management, compliance, and operational efficiency, while creating a safe and enjoyable environment in public areas. One of them is about single-stage layer-based people counting using You ...Show More

Performance One Stage Layer Object Detection Model to Count People using Various Backbones

Junanto Prihantoro;Pradika Wahyu Dwi Putra;Erwin Nashrullah

2023 International Workshop on Artificial Intelligence and Image Processing (IWAIIP)

Year: 2023 | Conference Paper |

Comparison of Machine Learning Techniques for Grade Classification of Exported Cavendish Bananas

Junanto Prihantoro;Dhika Rizki Anbiya;Galuh Prihantoro;Erwin Nashrullah;Zaid Cahya;Riza

2023 IEEE International Conference on Data and Software Engineering (ICoDSE)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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The development of artificial intelligence technology has multiplied and penetrated all fields. One example is using artificial intelligence in a classification technique to determine the grading of bananas based on their quality. Banana grading is divided into three output classes: export quality, local quality, and defects. The banana classification input data is obtained by measuring the length...Show More

Comparison of Machine Learning Techniques for Grade Classification of Exported Cavendish Bananas

Junanto Prihantoro;Dhika Rizki Anbiya;Galuh Prihantoro;Erwin Nashrullah;Zaid Cahya;Riza

2023 IEEE International Conference on Data and Software Engineering (ICoDSE)

Year: 2023 | Conference Paper |

A Comparative Study of Five Machine Learning Algorithms for Anomaly-based IDS

Agung Septiadi;Erwin Nashrullah;Muhammad Arief;Junanto Prihantoro;Jemie Muliadi;Fandy R.A. Harahap;Kusnanda Supriatna;Aris Suwarjono

2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE)

Year: 2022 | Conference Paper |

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One of the most important devices in cyber security is Intrusion Detection System (IDS). It is a device that is required to be able to monitor network traffic and detect the possibility of intrusion. Anomaly-based IDS is a type of IDS that works by detecting an anomaly in network traffic. The method that is starting to be widely used for detection is machine learning. In this work, the performance...Show More

A Comparative Study of Five Machine Learning Algorithms for Anomaly-based IDS

Agung Septiadi;Erwin Nashrullah;Muhammad Arief;Junanto Prihantoro;Jemie Muliadi;Fandy R.A. Harahap;Kusnanda Supriatna;Aris Suwarjono

2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE)

Year: 2022 | Conference Paper |

Performance Evaluation of Superstate HMM with Median Filter For Appliance Energy Disaggregation

Erwin Nashrullah;Ahdul Halim

2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

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Information on electricity consumption is one of the essential elements in terms of regulating the distribution of electricity in smart micro grid. Besides, information on electricity consumption can help consumers carry out an evaluation process to reduce electricity bill costs, which indirectly affect overall energy efficiency. One method in the process of monitoring electricity consumption is N...Show More

Performance Evaluation of Superstate HMM with Median Filter For Appliance Energy Disaggregation

Erwin Nashrullah;Ahdul Halim

2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

Year: 2019 | Conference Paper |

Performance Evaluation of Median Filter In Modeling Household Electric Load Profile

Erwin Nashrullah;Abdul Halim

2018 4th International Conference on Nano Electronics Research and Education (ICNERE)

Year: 2018 | Conference Paper |

Cited by: Papers (2)

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The aim of this paper is to evaluate the performance of median filter to extract accurate mathematical model of household electric power load. The model is expressed as a function of voltage and phase angle. The model is expressed by first order differential equation. The median filter is used for smoothing the raw data which may contain noise. Filtered data with low frequency sampling is then uti...Show More

Performance Evaluation of Median Filter In Modeling Household Electric Load Profile

Erwin Nashrullah;Abdul Halim

2018 4th International Conference on Nano Electronics Research and Education (ICNERE)

Year: 2018 | Conference Paper |

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