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Journal : JASEE Journal of Application and Science on Electrical Engineering

ANALISIS PERBANDINGAN KEANDALAN SISTEM JARINGAN DISTRIBUSI BERKONFIGURASI RADIAL DAN LOOP MENGGUNAKAN METODE SECTION TECHNIQUE gozali; Suprihadi Prasetyono; Rizkiyatul Mufaizah
JASEE Journal of Application and Science on Electrical Engineering Vol. 3 No. 02 (2022): JASEE-September
Publisher : Teknik Elektro Fakultas Teknik Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v3i02.113

Abstract

Electric power is needed in all sectors of life because basically, electric power is one of the basic human needs. With the existence of electric power in the daily activities of society and industry, it will also have an impact on increasing electrical energy which is increasing day by day. With the increasing number of consumers, the demand for quality in the supply of electrical energy will increase. So that the reliability of the electric power system is needed in increasing the availability of electricity to consumers. To find out that the distribution of electrical energy is maintained, it is necessary to have a very good level of reliability. The reliability method chosen in determining the reliability index is the Section Technique method. Section Technique is a structured method for analyzing a particular system. The results of calculations using the section technique method on the Arjasa feeder with loop configuration obtained a SAIFI reliability index of 1.5471 times/year, SAIDI of 1.1843 hours/year, and CAIDI of 0.7654 hours/year, while for feeders with radial configuration the SAIFI value is 1.4762 times/year, SAIDI of 5.2587 hours/year and CAIDI of 3.5623 hours/year.
Proyeksi Kebutuhan Energi Listrik dengan Metode Regresi Linear Berganda di UP3 Mojokerto Tahun 2022 sampai 2027 Mirelle Ferent Hasnitha; RB. Moch. Gozali; Suprihadi Prasetyono
JASEE Journal of Application and Science on Electrical Engineering Vol. 4 No. 02 (2023): JASEE-September
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v4i02.427

Abstract

Demand for the availability of electrical energy in the future requires good planning and forecasting. Based on data from BPS (Badan Pusat Statik) East Java, the population and the number of electricity customers in East Java province has increased every year. So a forecasting can be done to find out the estimated demand for electrical energy needs in the future. In this study using multiple regression analysis method to project electricity demand in UP3 Mojokerto from 2022 to 2027. The results of the 2022 projection will be compared with the actual data in 2022 for data validation with the calculation of MAPE (Mean Absolute Percent Error). The resulting MAPE value is less than 10%, which means that this multiple linear regression method is a very good method used to project electrical energy demand at UP3 Mojokerto in 2022-2027. That way, the results of projected electrical energy demand with multiple linear regression methods in UP3 Mojokerto in 2022 amounted to 4,937,341 MWh, and in 2023 to 2027 the projected electrical energy demand increased successively by 5,323,722 MWh, 5,721,631 MWh, 6,131,543 MWh, 6,553,951 MWh, and 6,989,371 MWh. With an average growth from 2022 to 2027 of 6.30%.