Analisis Pola Persebaran Pelanggan Telat Bayar Listrik Menggunakan Spatial Poisson Point Process

Wijaya, Elizabeth Meiliana (2024) Analisis Pola Persebaran Pelanggan Telat Bayar Listrik Menggunakan Spatial Poisson Point Process. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Saat ini, permintaan energi listrik semakin meningkat dari hari ke hari, sementara sumber daya yang dibutuhkan untuk menghasilkan energi ini semakin sedikit. Oleh karena itu, penggunaan listrik harus diperhatikan dengan seksama. PT. Perusahaan Listrik Negara (PLN) (Persero) merupakan perusahaan penyedia jasa kelistrikan terbesar di Indonesia yang menyediakan dua jenis layanan listrik, yaitu listrik prabayar dan pascabayar. Pelanggan listrik pascabayar perlu membayar tagihan listrik sesuai pemakaiannya di setiap akhir bulan karena pelanggan PLN telah diberikan hak untuk menggunakan aliran listrik di tempat tinggal mereka. Namun, masih banyak pelanggan PLN yang mengabaikan proses pembayaran tarif listrik tersebut. Salah satu metode yang cocok untuk melihat karakteristik pelanggan telat bayar listrik adalah dengan Spatial Poisson Process. Metode tersebut digunakan karena data lokasi pelanggan merupakan jenis data spatial point pattern, dimana jenis data tersebut dapat dianalisis dengan pendekatan Point Process. Model terbaik didapatkan dari model masing-masing kecamatan dengan AIC terendah, yaitu −299012,122, dan rata-rata jumlah pelanggan telat bayar listrik pada sebagian besar kecamatan secara signifikan dipengaruhi karakteristik daerah yang berbeda-beda, seperti jumlah keluarga pengguna listrik, jumlah koperasi aktif, dan tingkat pembayaran tidak tepat waktu.
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Nowadays, the demand for electrical energy is increasing day by day, while the resources required to generate this energy are getting less and less. Therefore, the use of electricity must be carefully considered. PT Perusahaan Listrik Negara (PLN) (Persero) is the largest electricity service provider company in Indonesia that provides two types of electricity services, namely prepaid and postpaid electricity. Postpaid electricity customers need to pay electricity bills according to their usage at the end of each month because PLN customers have been given the right to use electricity in their residence. However, there are still many PLN customers who ignore the electricity tariff payment process. One of the suitable methods to see the characteristics of late electricity payment customers is the Spatial Poisson Process. The method is used because customer location data is a type of spatial point pattern data, where this type of data can be analyzed with a Point Process approach. The best model is obtained from the model of each sub-district with the lowest AIC, that is −299012,122, and the average number of late electricity payment customers in most sub-districts is significantly influenced by different regional characteristics, such as the number of families using electricity, the number of active cooperatives, and the level payment of late electricity.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	listrik, nonhomogen poisson process, pelanggan telat bayar listrik, spatial poisson point process, electricity, nonhomogen poisson process, late-paying customers
Subjects:	H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA30.6 Spatial analysis
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Elizabeth Meiliana Wijaya
Date Deposited:	09 Aug 2024 02:54
Last Modified:	03 Sep 2024 08:26
URI:	http://repository.its.ac.id/id/eprint/114916

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