Analisis Pengelompokan dan Peramalan Jumlah Gangguan dan Mean Time to Repair di PT. ABC pada Tahun 2013-2014

Wibowo, Halim Kusumo (2017) Analisis Pengelompokan dan Peramalan Jumlah Gangguan dan Mean Time to Repair di PT. ABC pada Tahun 2013-2014. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Era globalisasi memaksa industri masuk ke tingkat persaingan yang lebih tinggi. PT. ABC sebagai salah satu perusahaan komunikasi di Indonesia yang memiliki produk andalan layanan jasa internet pada rumah dan SME (Small Medium Enterpraise) harus terus meningkatkan kualitas pelayanannya untuk bisa terus bersaing. Menjaga alat-alat dalam kondisi prima adalah hal yang harus diperhatikan sehingga dapat menjaga kenyamanan penggunaan pelanggan. Tujuan yang ingin dicapai dalam penelitian ini adalah membantu perusahaan dalam mengelompokan sert mecari model peramalan terhadap jumlah gangguan yang terjadi selama 3 bulan. Penelitian ini dilakukan di PT. ABC dengan menggunakan metode Manova dan ARIMA. Terdapat 2 variabel yang digunakan dalam penelitian ini yaitu Jumlah gangguan dan Mean Time To Repair (MTTR) yang terjadi pada 36 kota. Pertama adalah mencari perbedaan antar bulan, karena tidak ada perbedaan yang terjadi antar bulan maka diambil salah satu bulan sebagai representatif bulan lainnya,kemudian dilakukan pengelompokan kota yang terbagi menjadi 3 kelompok dengan menggunakan Metode biplot yang selanjutnya akan dianalisis perbedaan antar kelompok dengan menggunakan Manova yang menghasilkan bahwa kelompok 1, 2 dan 3 mempunyai perbedaan. Selanjutnya dilakukan Peramalan pada Jumlah gangguan Per hari dengan menggunakan Metode ARIMA dan menghasilkan bahwa model ARIMA (0,1,1) merupakan model yang terbaik dengan nilai MAPE paling kecil diantara model lainnya.
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The era of globalization forced the industry into a higher level of competition. PT. ABC as one of the communications companies in Indonesia which has a mainstay product of internet service at home and SME (Small Medium Enterpraise) must continuously improve the quality of its service to be able to continue to compete. Keeping the tools in top condition is the thing to watch out for in order to maintain the convenience of customer. The goal to be achieved in this research is to help companies in categorizing and looking forecasting model against the number of disruptions that occurred during 3 months. This research was conducted at PT. ABC using Manova and ARIMA method. There are 2 variables that used in this research is Number of disturbance and Mean Time To Repair (MTTR) which happened at 36. The first is finding the difference between the months, because there is no difference that occurs between the months then taken one month as a representative of the other month, then done grouping the city divided into 3 groups by using biplot method which will then be analyzed the differences between groups using Manova that produces That groups 1, 2 and 3 have differences. The first is to look for differences between months, because there is no difference that occurs between the months then choose one month as a representative of other months, then do the grouping of the city divided into 3 groups by using biplot method which will then be analyzed the differences between groups using Manova that produces That groups 1, 2 and 3 have difference. Furthermore, forecasting on Number of disturbances per day by using ARIMA Method and ARIMA model results (0,1,1) with the smallest MAPE value from other model.

Item Type:	Thesis (Undergraduate)
Additional Information:	RSSt 519.535 Wib a
Uncontrolled Keywords:	Jumlah gangguan, MTTR Biplot, Manova, ARIMA, MAPE, Total disruption
Subjects:	H Social Sciences > HA Statistics Q Science > Q Science (General)
Divisions:	Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Halim Kusumo Wibowo
Date Deposited:	20 Nov 2017 07:28
Last Modified:	09 Jan 2018 07:37
URI:	http://repository.its.ac.id/id/eprint/48121

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