Nurizati, Zulfa (2017) Pemodelan Faktor-Faktor Yang Berpengaruh Terhadap Jumlah Fixed Broadband Di 35 Negara Asia Menggunakan Regresi Data Panel. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Teknologi broadband menjadi tren global komunikasi data yang diadopsi banyak negara. Hal ini ditandai dengan meningkatnya jumlah fixed broadband dari tahun ke tahun. Asia memiliki tingkat pertumbuhan yang tinggi di era modern ini, selain itu Asia juga menjadi pasar potensial bagi perdagangan internasional baik antar negara dalam kawasan maupun dengan negara-negara di kawasan lain, hal ini tidak terlepas dari tingginya penetrasi broadband. Tujuan penelitian adalah untuk memodelkan serta meramalkan jumlah fixed broadband di 35 negara Asia menggunakan regresi data panel. Penelitian menghasilkan model yang terbaik adalah estimasi Fixed Effect Model (FEM) Cross Section Weight (WLS) yang memiliki nilai sebesar 99,82%. Model ini menunjukkan bahwa peningkatan IPM akan mendorong peningkatan jumlah fixed broadband hingga 17,95% begitu halnya dengan peningkatan kepadatan penduduk per km2 juga akan mendorong peningkatan jumlah fixed broadband hingga 1,83%. Hasil ramalan jumlah fixed broadband dari tahun ke tahun di beberapa negara mengalami peningkatan. Kenaikan jumlah fixed broadband ini seiring dengan peningkatan IPM dan kepadatan penduduk per km2. Namun ada beberapa negara yang mengalami penurunan IPM yang berdampak pada menurunnya jumlah fixed broadband ============================================================ Broadband technology becomes a global trend of data communications which are adopted by many countries. It’s indicated by the increase of total fixed broadband from year to year. Asia has a high growth rate in this modern era. In addition, Asia is also has a potential market for international trade, both between countries in the region and the others. However, it’s not apart from high broadband penetration. The purpose of the study is modelling and forecasting total fixed broadband in 35 Asian countries by using panel data regression. The study yielded the best model is Fixed Effect Model (FEM) Cross Section Weight (WLS) which has 99.82% value. The model shows that an increase in HDI will boost the increase of total fixed broadband up to 17.95%, as well as the increase in population density per km2 also will boost the increase of total fixed broadband up to 1.83%. The forecast results of total fixed broadband from year to year in some countries has increased. Total fixed broadband increased along with the increase in HDI and population density per km2. However, there are some countries encounter a decline in HDI that affects the decrease in total fixed broadband.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSSt 519.536 Nur p |
| Uncontrolled Keywords: | Jumlah Fixed Broadband; FEM Cross Section Weight; Peramalan; Regresi Data Panel;FEM Cross Section Weight; Forecasting; Panel Data Regression; Total Fixed Broadband |
| Subjects: | H Social Sciences > HA Statistics Q Science > Q Science (General) Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Zulfa Nurizati |
| Date Deposited: | 17 Jan 2018 04:20 |
| Last Modified: | 05 Mar 2019 03:59 |
| URI: | http://repository.its.ac.id/id/eprint/48515 |
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