Classification of points and types of disruptions for efficiency of standard operating procedures repair of distribution network suppliers-Reference-Cited by-同舟云学术

Classification of points and types of disruptions for efficiency of standard operating procedures repair of distribution network suppliers

Published:2022 Issue: Volume: Page:
ISSN:0094-243X
Container-title:THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)
language:
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Author:

Asri Yessy,Kuswardani Dwina,Suliyanti Widya Nita,Tambunan Chrystyna Monica

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0104937

Reference29 articles.

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2. Rochman, C., Penangsang, O., & Aryani, N. K. (2015). Disruption Management for the 20 kV Distribution Network in Surabaya City based on the Geographic Information System (GIS) using the Genetic Algorithm Method. ITS ENGINEERING JOURNAL.

3. Somantri, O., Sungkar, MS, & Sasmito, GW (2015). Neural Network for Classification of Interference Handling of 20 KV Electrical Distribution Networks. KNIF, 204-208.

4. Sartika, D., & Sensuse, D. I. (2017). Comparison of Naive Bayes, Nearest Neighbor, and Decision Tree Classification Algorithms in a Case Study of Clothing Pattern Selection Decision Making. Jatisi, 151–161.

5. Fadillah, AP (2015, December). Application of the CRISP-DM Method for Predicting Graduate Studies of Students Taking Courses (XYZ University Case Study). Journal of Informatics Engineering and Information Systems, Volume 1 Number 3, 260–270.

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