BibTex Citation Data :
@article{JSINBIS9863, author = {Hari Santosa}, title = {Aplikasi Penentuan Tarif Listrik Menggunakan Metode Fuzzy Sugeno}, journal = {Jurnal Sistem Informasi Bisnis}, volume = {4}, number = {1}, year = {2014}, keywords = {}, abstract = { This reasearch applied Sugeno fuzzy method for determining electricity tariff based on the data of electric customers 450 VA and 900 VA from PLN APJ South Semarang. Tariff of PLN clasifications calculation is done in a progressive way with three block/ classification tariff . This method is considered less representative because many users who consume less or more electrical energy (kWh) in one block/class charged or valued equally. Electric customer data during the 5 months from May to September 2012, which contains a large kWh consumption is then calculated by means of progressive tariff . The data is then performed clustering with FCM method (Mean C Fuzz) into 5 groups, thus obtained cluster centers or power usage and price rates. The power usage and price of the cluster centers are used as a reference manufacture and fed into the membership function of fuzzy inference system built by Sugeno method. This research used the triangular shape of the curve membership function.The system built in the form of application Sugeno fuzzy method which is tested by inserting a number of sample test data . The results are the tariff to be paid by electricity customers . The tariff is resulting from the calculation of the system compared to the tariff calculated in a progressive way of PLN. The difference in total tariff to customers for power of 450 VA Rp 93.3107 or 0.004%, while for the 900 VA at Rp 3503.2 or 0.12 %. The tariff were calculated using Sugeno fuzzy method from this research is more fair to the consumer there is increase in revenue for PLN. Keywords : Fuzzy Sugeno; Tariff classification; Calculation }, issn = {2502-2377}, pages = {28--39} doi = {10.21456/vol4iss1pp28-39}, url = {https://ejournal.undip.ac.id/index.php/jsinbis/article/view/9863} }
Refworks Citation Data :
This reasearch applied Sugeno fuzzy method for determining electricity tariff based on the data of electric customers 450 VA and 900 VA from PLN APJ South Semarang. Tariff of PLN clasifications calculation is done in a progressive way with three block/ classification tariff . This method is considered less representative because many users who consume less or more electrical energy (kWh) in one block/class charged or valued equally. Electric customer data during the 5 months from May to September 2012, which contains a large kWh consumption is then calculated by means of progressive tariff . The data is then performed clustering with FCM method (Mean C Fuzz) into 5 groups, thus obtained cluster centers or power usage and price rates. The power usage and price of the cluster centers are used as a reference manufacture and fed into the membership function of fuzzy inference system built by Sugeno method. This research used the triangular shape of the curve membership function.The system built in the form of application Sugeno fuzzy method which is tested by inserting a number of sample test data . The results are the tariff to be paid by electricity customers . The tariff is resulting from the calculation of the system compared to the tariff calculated in a progressive way of PLN. The difference in total tariff to customers for power of 450 VA Rp 93.3107 or 0.004%, while for the 900 VA at Rp 3503.2 or 0.12 %. The tariff were calculated using Sugeno fuzzy method from this research is more fair to the consumer there is increase in revenue for PLN.
Keywords : Fuzzy Sugeno; Tariff classification; Calculation
Article Metrics:
Last update:
Last update: 2025-05-14 03:59:50
Comparison of ANFIS and NFS on inflation rate forecasting
Authors who submit the manuscripts to Journal JSINBIS must understand and agree that if the manuscript is accepted for publication, the copyright of the article belongs to JSINBIS and Diponegoro University as the journal publisher.
Copyright includes the exclusive right to reproduce and provide articles in all forms and media, including reprints, photographs, microfilm and any other similar reproductions, as well as translations. The author reserves the rights to the following:
JSINBIS and Diponegoro University and the Editors make every effort to ensure that no false or misleading data, opinions or statements are published in this journal. The content of articles published in JSINBIS is the sole and exclusive responsibility of the respective authors.
Copyright transfer agreement can be found here: [Copyright transfer agreement in doc] and [Copyright transfer agreement in pdf].
JSINBIS (Jurnal Sistem Informasi Bisnis) is published by the Magister of Information Systems, Post Graduate School Diponegoro University. It has e-ISSN: 2502-2377 dan p-ISSN: 2088-3587 . This is a National Journal accredited SINTA 2 by RISTEK DIKTI No. 48a/KPT/2017.
Journal JSINBIS which can be accessed online by http://ejournal.undip.ac.id/index.php/jsinbis is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats
