OTOMASI PEMBACAAN DATA PENGGUNAAN LISTRIK PADA kWh METER PASCABAYAR UNTUK MENGURANGI WAKTU PROSES PENGAMBILAN DATA DAN PERHITUNGAN TAGIHAN LISTRIK MENGGUNAKAN PENDEKATAN JARINGAN SYARAF TIRUAN
Electricity has become an important aspect in daily life. In Indonesia, PT. PLN has a role as the biggest electricity supplier. To collect and supervise the data usage of customer, PT. PLN use human labour as the data collector. The Indonesian kilo Watt hour (kWh) meter reading used mobile phone to...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2014
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| _version_ | 1797035982606827520 |
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| author | , Rierien Jessyntha M , Andi Sudiarso, S.T., M.T., M.Sc., Ph.D |
| author_facet | , Rierien Jessyntha M , Andi Sudiarso, S.T., M.T., M.Sc., Ph.D |
| author_sort | , Rierien Jessyntha M |
| collection | UGM |
| description | Electricity has become an important aspect in daily life. In Indonesia, PT.
PLN has a role as the biggest electricity supplier. To collect and supervise the data
usage of customer, PT. PLN use human labour as the data collector. The
Indonesian kilo Watt hour (kWh) meter reading used mobile phone to store the
amount of usage, mobile phone camera to capture images of kWh usage, and a set
of papers to record in physical form. These processes are repetitive and time
consuming. Moreover, some human operators absence to collect data and record
wrong electricity usage deliberately which increasing the customer awareness. All
of the fraudness possibilities demand PT.PLN to continuosly improve its
performance, spesifically in operational area.
The purpose of this paper is to build software in order to improve existing
data collection processes that integrated with billing calculation and transaction
processes. The automated system presents the artificial neural network (ANN)
method, Backpropagation and Kohonen-SOM algorithm, to recognize the number
of electricity usage. The object of the research are image, computation time, and
billing calculation. On this research, the comparison of processing time from
existing and automated system calculated to choose better system with higher
productivity rate.
The Kohonen-SOM algorithm spent an average computation time with
repetitions as 8,7 seconds and Backpropagation spent as 4,32 seconds. The system
spent 60.90 sec/house that equal with 59 houses/hour. The automated system
presents a new methodology of artificial neural network, for avoiding the high
construction and maintenance costs in the existing meter reading technology.
Result of the automated design shows the data read-out integrated with billing
transaction system has 69,02 seconds at the average process time that equal with
33 houses/hour. From the comparison, it shows that there is a difference as much
as 2 houses between the methods of analysis. The automated system performs
higher productivity. |
| first_indexed | 2024-03-13T23:38:58Z |
| format | Thesis |
| id | oai:generic.eprints.org:133334 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T23:38:58Z |
| publishDate | 2014 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1333342016-03-04T08:11:15Z https://repository.ugm.ac.id/133334/ OTOMASI PEMBACAAN DATA PENGGUNAAN LISTRIK PADA kWh METER PASCABAYAR UNTUK MENGURANGI WAKTU PROSES PENGAMBILAN DATA DAN PERHITUNGAN TAGIHAN LISTRIK MENGGUNAKAN PENDEKATAN JARINGAN SYARAF TIRUAN , Rierien Jessyntha M , Andi Sudiarso, S.T., M.T., M.Sc., Ph.D ETD Electricity has become an important aspect in daily life. In Indonesia, PT. PLN has a role as the biggest electricity supplier. To collect and supervise the data usage of customer, PT. PLN use human labour as the data collector. The Indonesian kilo Watt hour (kWh) meter reading used mobile phone to store the amount of usage, mobile phone camera to capture images of kWh usage, and a set of papers to record in physical form. These processes are repetitive and time consuming. Moreover, some human operators absence to collect data and record wrong electricity usage deliberately which increasing the customer awareness. All of the fraudness possibilities demand PT.PLN to continuosly improve its performance, spesifically in operational area. The purpose of this paper is to build software in order to improve existing data collection processes that integrated with billing calculation and transaction processes. The automated system presents the artificial neural network (ANN) method, Backpropagation and Kohonen-SOM algorithm, to recognize the number of electricity usage. The object of the research are image, computation time, and billing calculation. On this research, the comparison of processing time from existing and automated system calculated to choose better system with higher productivity rate. The Kohonen-SOM algorithm spent an average computation time with repetitions as 8,7 seconds and Backpropagation spent as 4,32 seconds. The system spent 60.90 sec/house that equal with 59 houses/hour. The automated system presents a new methodology of artificial neural network, for avoiding the high construction and maintenance costs in the existing meter reading technology. Result of the automated design shows the data read-out integrated with billing transaction system has 69,02 seconds at the average process time that equal with 33 houses/hour. From the comparison, it shows that there is a difference as much as 2 houses between the methods of analysis. The automated system performs higher productivity. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , Rierien Jessyntha M and , Andi Sudiarso, S.T., M.T., M.Sc., Ph.D (2014) OTOMASI PEMBACAAN DATA PENGGUNAAN LISTRIK PADA kWh METER PASCABAYAR UNTUK MENGURANGI WAKTU PROSES PENGAMBILAN DATA DAN PERHITUNGAN TAGIHAN LISTRIK MENGGUNAKAN PENDEKATAN JARINGAN SYARAF TIRUAN. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=73939 |
| spellingShingle | ETD , Rierien Jessyntha M , Andi Sudiarso, S.T., M.T., M.Sc., Ph.D OTOMASI PEMBACAAN DATA PENGGUNAAN LISTRIK PADA kWh METER PASCABAYAR UNTUK MENGURANGI WAKTU PROSES PENGAMBILAN DATA DAN PERHITUNGAN TAGIHAN LISTRIK MENGGUNAKAN PENDEKATAN JARINGAN SYARAF TIRUAN |
| title | OTOMASI PEMBACAAN DATA PENGGUNAAN LISTRIK PADA kWh METER PASCABAYAR UNTUK MENGURANGI WAKTU PROSES PENGAMBILAN DATA DAN PERHITUNGAN TAGIHAN LISTRIK MENGGUNAKAN PENDEKATAN JARINGAN SYARAF TIRUAN |
| title_full | OTOMASI PEMBACAAN DATA PENGGUNAAN LISTRIK PADA kWh METER PASCABAYAR UNTUK MENGURANGI WAKTU PROSES PENGAMBILAN DATA DAN PERHITUNGAN TAGIHAN LISTRIK MENGGUNAKAN PENDEKATAN JARINGAN SYARAF TIRUAN |
| title_fullStr | OTOMASI PEMBACAAN DATA PENGGUNAAN LISTRIK PADA kWh METER PASCABAYAR UNTUK MENGURANGI WAKTU PROSES PENGAMBILAN DATA DAN PERHITUNGAN TAGIHAN LISTRIK MENGGUNAKAN PENDEKATAN JARINGAN SYARAF TIRUAN |
| title_full_unstemmed | OTOMASI PEMBACAAN DATA PENGGUNAAN LISTRIK PADA kWh METER PASCABAYAR UNTUK MENGURANGI WAKTU PROSES PENGAMBILAN DATA DAN PERHITUNGAN TAGIHAN LISTRIK MENGGUNAKAN PENDEKATAN JARINGAN SYARAF TIRUAN |
| title_short | OTOMASI PEMBACAAN DATA PENGGUNAAN LISTRIK PADA kWh METER PASCABAYAR UNTUK MENGURANGI WAKTU PROSES PENGAMBILAN DATA DAN PERHITUNGAN TAGIHAN LISTRIK MENGGUNAKAN PENDEKATAN JARINGAN SYARAF TIRUAN |
| title_sort | otomasi pembacaan data penggunaan listrik pada kwh meter pascabayar untuk mengurangi waktu proses pengambilan data dan perhitungan tagihan listrik menggunakan pendekatan jaringan syaraf tiruan |
| topic | ETD |
| work_keys_str_mv | AT rierienjessyntham otomasipembacaandatapenggunaanlistrikpadakwhmeterpascabayaruntukmengurangiwaktuprosespengambilandatadanperhitungantagihanlistrikmenggunakanpendekatanjaringansyaraftiruan AT andisudiarsostmtmscphd otomasipembacaandatapenggunaanlistrikpadakwhmeterpascabayaruntukmengurangiwaktuprosespengambilandatadanperhitungantagihanlistrikmenggunakanpendekatanjaringansyaraftiruan |