Determination of Consumer Switching Barriers to Use Prepaid Electricity Systems in the Household Sector in Makassar, Indonesia

Karim, Kasnaeny; Tajibu, Muhammad Jibril; Akhmad, Akhmad

doi:10.32479/ijeep.10237

Cited by 7 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Pertamina as the only company assigned by the government in the supply of fuel and LPG in Indonesia and PT. PLN is the only company that provides electricity to the people of Indonesia (Nugroho, 2005, Karim et al, 2021Romadhoni and Akhmad, 2020). One of the macroeconomic assumptions listed in the State Revenue and Expenditure Budget is world oil prices and national oil production.…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of the Increase of Oil Fuel Price and Government Subsidy on Indonesia’s Economic Performance

Akhmad,

Asse,

Nursalam

et al. 2023

IJEEP

View full text Add to dashboard Cite

The policy of increasing domestic fuel oil, as a consequence of rising world oil prices, has resulted in changing economic conditions, bearing in mind that oil prices and production are wrong macroeconomic assumptions and are included in the State Revenue and Expenditure Budget. This study aims to determine the impact of rising fuel prices and government subsidies on Indonesia's economic performance. The data used in this study are time series data from 2000 to 2022. Data were obtained from the Indonesian Central Bureau of Statistics, the Ministry of Energy and Mineral Resources, the Ministry of Finance, and Bank Indonesia. This study uses an econometric model using a system of simultaneous equations. The research results show that; The main factors that caused the increase in domestic fuel prices, including crude oil prices, gasoline, diesel, kerosene and aviation fuel, were the increase in world oil prices and the previous year's oil prices. The estimation results also show that the increase in gasoline and diesel fuel can increase the number of poor people, unemployment and inflation in Indonesia. The policy simulation results show that the increase in oil prices has a significant impact on increasing the number of poor people, increasing unemployment and inflation, if this increase is not followed by subsidies in the form of non-energy.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

The Impact of the Increase of Oil Fuel Price and Government Subsidy on Indonesia’s Economic Performance

Akhmad,

Asse,

Nursalam

et al. 2023

IJEEP

View full text Add to dashboard Cite

show abstract

“…Penelitian sebelumnya, meneliti faktor yang menjadi pendorong penolakan implementasi LPB antara lain kurangnya sarana konsultansi dan edukasi dari pemerintah ataupun perusahaan listrik ke pelanggan dan juga terdapat faktor politis [1], faktor kebiasaan penggunaan listrik pascabayar, faktor ketidaktahuan pelanggan terhadap produk baru dan faktor persepsi terhadap listrik pascabayar [11]. Selain itu, penelitian lain menyebutkan terkait faktor pendukung penerimaan LPB antara lain pelanggan dengan pendapatan tinggi dalam kurun waktu lima tahun dan orang lanjut usia cenderung menolak LPB sedangkan keluarga kecil lebih cenderung menerimanya [4].…”

Section: Pendahuluanunclassified

Identifikasi Fitur untuk Prediksi Penerimaan Program Listrik Prabayar: Kasus di PLN Tahuna

Riduwan¹,

Purwitasari

Raharjo

2022

View full text Add to dashboard Cite

Listrik Prabayar (LPB) memberikan manfaat bagi perusahaan listrik dalam hal mengurangi piutang pelanggan dan memberikan kemudahan pengendalian pemakaian listrik bagi pelanggan. Perusahaan Listrik Negara (PLN) mempunyai program pemasaran untuk berpindah (migrasi) dari listrik pascabayar menjadi LPB. Pencapaian Key Performance Indicator (KPI) Program Pemasaran LPB PLN Tahuna pada 2021 hanya 1.185 pelanggan dari taget 2.261 pelanggan. Hal ini memberikan peluang perbaikan karena program pemasaran saat ini belum mengoptimalkan penggunaan data sebagai dasar penentuan prospek pelanggan. Penelitian ini mengajukan metode identifikasi fitur dan skenario pemilihan algoritma Pembelajaran Mesin yang tepat untuk memprediksi penerimaan pelanggan listrik pasca bayar terhadap program prabayar. Identifikasi fitur dilakukan dengan pengukuran korelasi Pearson. Kandidat algoritma Pembelajaran Mesin yang terpilih adalah Logistic Regression, Support Vector Machines, Decision Tree, dan Random Forest. Model-model yang dihasilkan dievaluasi menggunakan confusion matrix sehingga didapatkan model terbaik untuk studi kasus yang diajukan. Penelitian menunjukkan bahwa fitur tarif, daya, frekuensi terlambat membayar listrik, pemakaian rata-rata listrik bulanan (kWh) dan Kabupaten mempunyai korelasi signifikan dengan penerimaan LPB. Adapun model dengan algoritma Random Forest adalah model terbaik sesuai tujuan penelitian dengan F1-Measure tertinggi (95,17%).

show abstract

“…Postpaid and prepaid electricity users both exist in Indonesia [4]. The mode of payment is the primary distinction between prepaid and postpaid services.…”

Section: Introductionmentioning

confidence: 99%

“…A token number is typically used as the credit and entered into the electricity meter. With each additional watt of electricity used, the credit balance will decrease [4]. Customers are thought to be able to control their electricity usage by doing this [5].…”

Section: Introductionmentioning

confidence: 99%

Pre-SEMMS: A Design of Prepaid Smart Energy Meter Monitoring System for Household Uses Based on Internet of Things

Irianto

2023

j.electron.electromedical.eng.med.inform

View full text Add to dashboard Cite

The use of prepaid smart electricity services from the State Electricity Company (SEC) for the general public in Indonesia has increased. It is because prepaid electricity has several advantages compared to postpaid electricity. One of them is that it is becoming easier for customers to manage and control their daily electricity usage. Customers can also estimate their total electricity consumption each month. However, customers still have to manually view the information on the electricity meter to find data and information on prepaid electricity. It can make it difficult for customers if the electricity meter is placed outside the house, which is quite far away. Customers must also constantly monitor the use of electricity. This article discusses a prepaid smart electricity consumption monitoring design using Internet of Things technology. The design is carried out without changing the standard prepaid electricity meter system from the SEC. However, a KWH meter tool has been developed that has been combined with Internet of Things technology and can calculate and monitor electricity usage. The results show that with this system, customers can more easily find out and monitor their daily electricity consumption.

show abstract

Determination of Consumer Switching Barriers to Use Prepaid Electricity Systems in the Household Sector in Makassar, Indonesia

Cited by 7 publications

References 25 publications

The Impact of the Increase of Oil Fuel Price and Government Subsidy on Indonesia’s Economic Performance

The Impact of the Increase of Oil Fuel Price and Government Subsidy on Indonesia’s Economic Performance

Identifikasi Fitur untuk Prediksi Penerimaan Program Listrik Prabayar: Kasus di PLN Tahuna

Pre-SEMMS: A Design of Prepaid Smart Energy Meter Monitoring System for Household Uses Based on Internet of Things

Contact Info

Product

Resources

About