Analisa Forecasting Penjualan Metode Regresi Linear pada PT.Telkom, Tbk Tahun 2021 Sampai Tahun 2025

Haryanandya, Adrian and , Zulfa Irawati, S.E., M.Si. (2022) Analisa Forecasting Penjualan Metode Regresi Linear pada PT.Telkom, Tbk Tahun 2021 Sampai Tahun 2025. Skripsi thesis, Universitas Muhammadiyah Surakarta.

	PDF (Naskah Publikasi) Naskah Publikasi.pdf Download (732kB)
	PDF (Halaman Depan) Halaman Depan.pdf Download (1MB)
	PDF (Bab I) Bab I.pdf Download (180kB)
	PDF (Bab II) Bab II.pdf Restricted to Repository staff only Download (399kB) | Request a copy
	PDF (Bab III) Bab III.pdf Restricted to Repository staff only Download (303kB) | Request a copy
	PDF (Bab IV) Bab IV.pdf Restricted to Repository staff only Download (505kB) | Request a copy
	PDF (Bab V) Bab V.pdf Restricted to Repository staff only Download (79kB) | Request a copy
	PDF (Daftar Pustaka) Daftar Pustaka.pdf Download (83kB)
	PDF (Lampiran) Lampiran.pdf Restricted to Repository staff only Download (2MB) | Request a copy
	PDF (Surat Pernyataan Publikasi) Pernyataan Publikasi.pdf Restricted to Repository staff only Download (234kB) | Request a copy

Abstract

This study aims to determine the trend of sales of PT.Telkom, Tbk by using forecasting. In this research, forecasting is analyzed using nonlinear regression method as an independent variable. The sample of this research is data on past sales of PT. Telkom, Tbk. Data was collected by the documentation method. The sample selection used purposive sampling method. The results of research using forecasting linear regression method show that the sales of PT.Telkom, Tbk follow sales trends that occurred in the past. This has been proven by t-sample testing, where the hypothesis Ha where "PT.Telkom's sales trend, following sales trends in the past", can be accepted. related to the targets they must obtain regarding sales results.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Forecasting, Sales, Linear Regression
Subjects:	H Social Sciences > HB Economic Theory H Social Sciences > HD Industries. Land use. Labor > HD28 Management
Divisions:	Fakultas Ekonomi dan Bisnis > Manajemen
Depositing User:	ADRIAN HARYANANDYA
Date Deposited:	24 Feb 2022 14:10
Last Modified:	24 Feb 2022 14:10
URI:	http://eprints.ums.ac.id/id/eprint/98395

Actions (login required)

View Item