Analisis Faktor-Faktor Yang Mempengaruhi Kondisi Jaringan Listrik Di PT. PLN UID Jatim

Rilobestari, Nabila Hanna (2023) Analisis Faktor-Faktor Yang Mempengaruhi Kondisi Jaringan Listrik Di PT. PLN UID Jatim. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

PT. PLN UID Jatim merupakan salah satu unit yang mempunyai tugas pokok mendistribusikan tenaga listrik ke pelanggan. Dalam sistem tenaga listrik tentu tidak terhindar dari suatu masalah kualitas yang dibuktikan dengan adanya keluhan terhadap gangguan listrik dari masyarakat. Sebagai perusahaan yang berorientasi kepada kepuasan pelanggan, maka tolak ukur keberhasilan perusahaan adalah dapat memberikan kepuasan dalam pelayanan tenaga listrik ke pelanggan. Untuk meningkatkan pelayanan kepada pelanggan PT. PLN UID Jatim, maka dilakukannya penelitian untuk mengetahui faktor-faktor apa saja yang dapat mempengaruhi kondisi jaringan listrik. PT. PLN UID Jatim menetapkan kondisi jaringan yang terbagi menjadi 4, yaitu sempurna, sehat, sakit, dan kronis. Terdapat indikator-indikator yang diduga berpengaruh untuk menentukan kondisi jaringan Seperti Jumlah Gardu, Beban Penyulang (Amp), Kapasitas Penyulang (Amp), Beban Puncak Penyulang (Amp), Pemakaian Energi (mWh/Bulan), Jumlah Daya Tersambung (MVA). Penelitian ini menggunakan data sekunder sebanyak 1339 data penyulang seluruh Jawa Timur berdasarkan UP3 (Unit Pelaksana Pelayanan Pelanggan). Penelitian ini berisi tentang bagaimana karakteristik kondisi jaringan listrik di PT. PLN UID Jatim dan faktor-faktor apa saja yang mempengaruhinya. Penelitian ini menghasilkan hasil analisis penyulang dengan 61% kondisi jaringan yang sempurna, 34% kondisi jaringan yang sehat, 4% dengan kondisi jaringan yang sakit, dan 1% kondisi jaringan yang kronis. Dapat dikatakan bahwa pada kondisi jaringan listrik di PT. PLN UID Jatim didominasi oleh kondisi jaringan yang sempurna yaitu sebesar 61% dari 1339 penyulang. Untuk melihat kelayakan dari model regresi logistik ordinal, perlu dilakukan pengujian test of parallel lines, jika tolak H0 yang menunjukkan slope berbeda, maka model regresi logistik ordinal tidak layak digunakan dan dilanjutkan dengan menggunakan analisis regresi logistik multinomial. Secara keseluruhan kondisi jaringan listrik di PT. PLN UID Jatim dapat diprediksi secara tepat oleh model sebesar 62,5% dengan faktor yang berpengaruh signifikan terhadap kondisi jaringan listrik di PT. PLN UID Jatim adalah faktor Jumlah Gardu (X1), Beban Puncak Penyulang (X4), Dan Pemakaian Energi (X5).
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PT. PLN UID East Java is one of the units that has the main task of distributing electricity to customers. In the electric power system, quality problems are certainly inevitable, as evidenced by complaints about electrical disturbances from the public. As a company that is oriented towards customer satisfaction, the benchmark for the company's success is to be able to provide satisfaction in electric power services to customers. To improve service to customers PT. PLN UID East Java, so a study was conducted to find out what factors could affect the condition of the electricity network. PT. PLN UID East Java determines network conditions which are divided into 4, namely perfect, healthy, sick, and chronic. There are indicators that are thought to influence determining network conditions such as the Number of Substations, Feeder Load (Amp), Feeder Capacity (Amp), Feeder Peak Load (Amp), Energy Consumption (mWh/Month), Total Connected Power (MVA). This study uses secondary data of 1339 feeder data from all over East Java based on UP3 (Customer Service Implementation Unit). This research contains about the characteristics of the condition of the electrical network at PT. PLN UID East Java and what factors influence it. This research resulted in feeder analysis results with 61% perfect tissue conditions, 34% healthy tissue conditions, 4% diseased tissue conditions, and 1% chronic tissue conditions. It can be said that in the condition of the electricity network at PT. PLN UID East Java is dominated by perfect network conditions, namely 61% of 1339 feeders. To see the feasibility of the ordinal logistic regression model, it is necessary to test the test of parallel lines, if H0 rejects which shows a different slope, then the ordinal logistic regression model is not feasible to use and proceed with using multinomial logistic regression analysis. Overall, the condition of the electrical network at PT. PLN UID East Java can be predicted accurately by the model at 62.5% with factors that have a significant effect on the condition of the electricity network at PT. PLN UID East Java is a factor of the number of substations (X1), feeder peak load (X4), and energy consumption (X5).

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Kondisi Jaringan Listrik, Penyulang, PT. PLN UID Jatim, Regresi Logistik, Electrical Network, Feeders, PT. PLN UID East Java, Logistics Regression.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Nabila Hanna Rilobestari
Date Deposited:	03 Aug 2023 07:50
Last Modified:	03 Aug 2023 07:50
URI:	http://repository.its.ac.id/id/eprint/99547

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