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Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI)
ISSN : 23383070     EISSN : 23383062     DOI : -
JITEKI (Jurnal Ilmiah Teknik Elektro Komputer dan Informatika) is a peer-reviewed, scientific journal published by Universitas Ahmad Dahlan (UAD) in collaboration with Institute of Advanced Engineering and Science (IAES). The aim of this journal scope is 1) Control and Automation, 2) Electrical (power), 3) Signal Processing, 4) Computing and Informatics, generally or on specific issues, etc.
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Articles 12 Documents
Search results for , issue "Vol 8, No 3 (2022): September" : 12 Documents clear
Hybrid Approach-RSMOTE for Handling Class Imbalance with Label Noise Hartono Hartono; Erianto Ongko
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 8, No 3 (2022): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i3.23684

Abstract

The class imbalance problem is the main problem in classification. This issue arises because real-world datasets frequently exhibit an imbalance as a result of a class with more instances than other classes. In handling class imbalance, a Hybrid Approach that blends data-level and algorithm-level approaches produce good results. However, apart from the class imbalance, which reduces classification accuracy, the complexity of the data also has an effect. The complexity of this data causes a minority noise sample which lies between the minority and the majority. In order to determine how close minority samples are to their homogeneous and heterogeneous nearest neighbors, it is necessary to calculate the relative density. The greater the proximity to the homogeneous nearest neighbors, the greater the relative density, which causes the minority samples to be in a safe state but otherwise be categorized as noisy samples. This research will combine the application of the Hybrid Approach with A self-adaptive Robust SMOTE (RSMOTE), which is an adaptive method from SMOTE that applies the concept of relative density in the over-sampling process on minority samples. The research contribution is to implement the Hybrid Approach-RSMOTE in handling class imbalance with noise by using relative density in over-sampling and also to improve classification performance. The results showed that the Hybrid Approach-RSMOTE and Hybrid Approach-SMOTE had given good results in handling class imbalance. However, the Hybrid Approach-RSMOTE gave better results in the Precision, Recall, F1-Measure, and G-Mean and showed significant differences. Based on the results of the study, it can be stated that the performance of the Hybrid Approach in handling class imbalance is influenced by the selection of the over-sampling method. The results show that RSMOTE can be considered an over-sampling method in the Hybrid Approach.
Monitoring and Control Design of Automatic Transfer Switch-Automatic Main Failure with Human Machine Interface (HMI) Khafidzati 'Ulya; Yahya Chusna Arif; Lucky Pradigta Setiya Raharja
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 8, No 3 (2022): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i3.23750

Abstract

Automatic transfer switch-Automatic main failure is a commonly used technology for shifting supply from PLN to a generator in the case of a PLN blackout. The ATS-AMF module system frequently employs a PLC, which comes at a high cost, and the system alarm information only is seen by the user close to the system. The purpose of this research is to design an automatic transfer switch-automatic main failure system that used SCADA to improve the reliability of electricity supply by providing notification alarm information and buzzers. This research contribution is a development of an automatic transfer switch-automatic main failure, which can be used as a simulator for studies on measuring voltage, current, power, and frequency of main power supply in real cases. Furthermore, this instrument is used fuel level and temperature measures for its backup power (Genset), the result of measures will be monitored SCADA system with the available failure data, alarm logs, and status logs recorded in historical data, which is designed at a low cost and is easy to use. This information result of the measured sensor will be transferred in real-time to the SCADA system, so can be directly obtained for analysis. The main components for this system are microcontroller STM32 Nucleo, PZEM 004T sensor, ultrasonic sensor, DS18B20 sensor, ethernet, and VTSCADA. The result of this system is the temperature detects 89oC, and alarm information has been sounded with the statement “Genset Temperature Warning HIGH” thus instructing the generator to turn off the system. Meanwhile, based on the results of the fuel adjustment test, SCADA gives the information “Genset Fuel Level Warning LOW” when setting the fuel at 36%. The data historical viewer that stores up to 6 months and alarm information for the warning system on the SCADA has been successfully designed.

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