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The implementation of Markov chain to predict market share smartphone customers in Surabaya during pandemic COVID-19 / Hilyatun Nuha ... [et al.]

In the second quarter of 2019, smartphone shipments in Indonesia reached the highest figure in history, which was 9.7 million units according to a market research Indonesia Digital Conference (IDC). The smartphone competition in Indonesia continues to increase drastically in 2018. Samsung surviv...

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Main Authors: Nuha, Hilyatun, Widiasih, Wiwin, Romadon, Mustofa Wahyu
Format: Article
Language:English
Published: Universiti Teknologi MARA, Kedah 2022
Subjects:
Marketing
Marketing research. Marketing research companies. Sales forecasting
Online Access:https://ir.uitm.edu.my/id/eprint/55306/1/55306.pdf
https://ir.uitm.edu.my/id/eprint/55306/
https://voa.uitm.edu.my/
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spelling my.uitm.ir.553062022-06-01T12:53:41Z https://ir.uitm.edu.my/id/eprint/55306/ The implementation of Markov chain to predict market share smartphone customers in Surabaya during pandemic COVID-19 / Hilyatun Nuha ... [et al.] Nuha, Hilyatun Widiasih, Wiwin Romadon, Mustofa Wahyu Marketing Marketing research. Marketing research companies. Sales forecasting In the second quarter of 2019, smartphone shipments in Indonesia reached the highest figure in history, which was 9.7 million units according to a market research Indonesia Digital Conference (IDC). The smartphone competition in Indonesia continues to increase drastically in 2018. Samsung survived on the top position with a market share of 25.4% followed by Xiaomi 20.5%, Oppo 19.5% and Vivo 15.9%. The four smartphone brands are the biggest market share smartphone in Indonesia. In this summary, this research will propose market share prediction for each smartphone brand in Surabaya up to 2023 using Markov Chain. This research will identify factors in the selection of smartphone brands. Then we will determine the weight of each factor using Analytical Hierarchy process (AHP). Finding the right marketing strategy with the expectation that smartphone vendor can maintain and increase the volume of sales of its products so that it can reach the desired market share. The purpose of this research is to be able to provide suggestion for smartphone businesses in Surabaya. Universiti Teknologi MARA, Kedah 2022 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/55306/1/55306.pdf The implementation of Markov chain to predict market share smartphone customers in Surabaya during pandemic COVID-19 / Hilyatun Nuha ... [et al.]. (2022) Voice of Academia (VOA), 18 (1): 18. pp. 211-225. ISSN 2682-7840 https://voa.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Marketing
Marketing research. Marketing research companies. Sales forecasting
spellingShingle Marketing
Marketing research. Marketing research companies. Sales forecasting
Nuha, Hilyatun
Widiasih, Wiwin
Romadon, Mustofa Wahyu
The implementation of Markov chain to predict market share smartphone customers in Surabaya during pandemic COVID-19 / Hilyatun Nuha ... [et al.]
description In the second quarter of 2019, smartphone shipments in Indonesia reached the highest figure in history, which was 9.7 million units according to a market research Indonesia Digital Conference (IDC). The smartphone competition in Indonesia continues to increase drastically in 2018. Samsung survived on the top position with a market share of 25.4% followed by Xiaomi 20.5%, Oppo 19.5% and Vivo 15.9%. The four smartphone brands are the biggest market share smartphone in Indonesia. In this summary, this research will propose market share prediction for each smartphone brand in Surabaya up to 2023 using Markov Chain. This research will identify factors in the selection of smartphone brands. Then we will determine the weight of each factor using Analytical Hierarchy process (AHP). Finding the right marketing strategy with the expectation that smartphone vendor can maintain and increase the volume of sales of its products so that it can reach the desired market share. The purpose of this research is to be able to provide suggestion for smartphone businesses in Surabaya.
format Article
author Nuha, Hilyatun
Widiasih, Wiwin
Romadon, Mustofa Wahyu
author_facet Nuha, Hilyatun
Widiasih, Wiwin
Romadon, Mustofa Wahyu
author_sort Nuha, Hilyatun
title The implementation of Markov chain to predict market share smartphone customers in Surabaya during pandemic COVID-19 / Hilyatun Nuha ... [et al.]
title_short The implementation of Markov chain to predict market share smartphone customers in Surabaya during pandemic COVID-19 / Hilyatun Nuha ... [et al.]
title_full The implementation of Markov chain to predict market share smartphone customers in Surabaya during pandemic COVID-19 / Hilyatun Nuha ... [et al.]
title_fullStr The implementation of Markov chain to predict market share smartphone customers in Surabaya during pandemic COVID-19 / Hilyatun Nuha ... [et al.]
title_full_unstemmed The implementation of Markov chain to predict market share smartphone customers in Surabaya during pandemic COVID-19 / Hilyatun Nuha ... [et al.]
title_sort implementation of markov chain to predict market share smartphone customers in surabaya during pandemic covid-19 / hilyatun nuha ... [et al.]
publisher Universiti Teknologi MARA, Kedah
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/55306/1/55306.pdf
https://ir.uitm.edu.my/id/eprint/55306/
https://voa.uitm.edu.my/
_version_ 1735389608780234752
score 13.211869

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