RANCANG BANGUN SISTEM PERAMALAN PERMINTAAN JUMLAH KEBUTUHAN PASOKAN LISTRIK INDUSTRI PERUSAHAAN MENGGUNAKAN METODE SINGLE EXPONENTIAL SMOOTHING : StudiKasus PT. Krakatau Daya Listrik

Prihastiti, Pramudiani Ayu (2015) RANCANG BANGUN SISTEM PERAMALAN PERMINTAAN JUMLAH KEBUTUHAN PASOKAN LISTRIK INDUSTRI PERUSAHAAN MENGGUNAKAN METODE SINGLE EXPONENTIAL SMOOTHING : StudiKasus PT. Krakatau Daya Listrik. S1 thesis, Universitas Pendidikan Indonesia.

[img]
Preview
Text
S_KOM_0909179_Title.pdf

Download (155kB) | Preview
[img]
Preview
Text
S_KOM_0909179_Abstract.pdf

Download (136kB) | Preview
[img]
Preview
Text
S_KOM_0909179_Table_of_content.pdf

Download (172kB) | Preview
[img]
Preview
Text
S_KOM_0909179_Chapter1.pdf

Download (214kB) | Preview
[img] Text
S_KOM_0909179_Chapter2.pdf
Restricted to Staf Perpustakaan

Download (483kB)
[img]
Preview
Text
S_KOM_0909179_Chapter3.pdf

Download (363kB) | Preview
[img] Text
S_KOM_0909179_Chapter4.pdf
Restricted to Staf Perpustakaan

Download (784kB)
[img]
Preview
Text
S_KOM_0909179_Chapter5.pdf

Download (136kB) | Preview
[img]
Preview
Text
S_KOM_0909179_Bibliography.pdf

Download (206kB) | Preview
Official URL: http://repository.upi.edu

Abstract

Energilistrikmerupakansumberenergipentingbagikehidupanmanusiamisalnyasajapadalingkunganindustri PT. Krakatau DayaListrik.Peningkatanpemakaiankebutuhanlistrikmengharuskanpihakpenyediadanpengelolakebutuhanenergilistrikmampumengelolapendistribusianlistrikkepadakonsumentersebutdenganbaik.Seiringberjalannyawaktuperluadanyaperhitunganuntukmengetahuipemakaiandayalistrik di masamendatang.Salah satumetode yang digunakanuntukmelakukanprediksitersebutadalahmenggunakanmetode Single Exponential Smoothing.Setelahdilakukanpengujiandihasilkanbahwahasildariperamalan (forecasting) penggunaandayalistrikdarikonsumen PT. Krakatau DayaListrikdenganmenggunakan data daritahun 2006 sampai 2013 dapatdiketahuibahwahasilperamalanpadatahun 2014 adalahmasing-masingkonsumen KS (1472585 MWH) denganpersentasekesalahanterkecil MAPE 8,69%, konsumen KSG (84292 MWH) denganpersentasekesalahanterkecil MAPE 12,72%, konsumenumum (133293 MWH) denganpersentasekesalahanterkecilMAPE 26,61%. Denganpersentasedibawah 30% dapatdiartikanperamalantersebutakuratdanbaikuntukmetodeSingle Exponential Smoothing yang diterapkandalampenelitianini. Electrical energy is an important source of energy for human life for example in industrial environments PT. Krakatau DayaListrik. Increased consumption of electricity needs require the provider and manager of the electrical energy needs are able to manage the distribution of electricity to consumers well. Over time the need for calculations to determine the power consumption in the future. One method that is used to make these predictions is using Single Exponential Smoothing. After testing is produced that results from the prediction (forecasting) of electric power from consumers PT. Krakatau DayaListrik using data from 2006 to 2013 can be seen that the forecasting results in 2014 were each consumer KS (1,472,585 MWH) with the smallest percentage error MAPE 8.69%, consumer KSG (84,292 MWH) with the smallest percentage error MAPE 12.72%, general consumer (MWH 133,293) with a percentage of 26.61% MAPE smallest error. With a percentage below 30% can be interpreted accurately forecasting and good for Single Exponential Smoothing method applied in this study.

Item Type: Thesis (S1)
Additional Information: No. Panggil : S KOM PRI r-2015; Pembimbing : I. Enjang Ali Nurdin, II. Rasim.
Uncontrolled Keywords: Peramalan, Single Exponential Smoothing, MAPE.
Subjects: L Education > L Education (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Ilmu Komputer
Depositing User: Staf Koordinator 3
Date Deposited: 16 Sep 2015 02:26
Last Modified: 16 Sep 2015 02:26
URI: http://repository.upi.edu/id/eprint/16667

Actions (login required)

View Item View Item