Cyber Threat Trend Analysis Model Using HMM

2007 ◽  
Author(s):  
Do Hoon Kim ◽  
Taek Lee ◽  
Sung-Oh David Jung ◽  
Hoh Peter In ◽  
Hee Jo Lee
Keyword(s):  
Trend Analysis ◽  
Analysis Model ◽  
Cyber Threat

Cyber Threat Trend Analysis Model Using HMM

2007 ◽  
Author(s):  
Do Hoon Kim ◽  
Taek Lee ◽  
Sung-Oh David Jung ◽  
Hoh Peter In ◽  
Hee Jo Lee
Keyword(s):  
Trend Analysis ◽  
Analysis Model ◽  
Cyber Threat

ANALISIS MODEL KEBUTUHAN PERGERAKAN PENUMPANG DAN BARANG BANDARA RAHADI OESMAN KETAPANG

2012 ◽  
Vol 10 (1) ◽  
Author(s):  
. Elsa Trimukti
Keyword(s):  
Growth Rate ◽  
Trend Analysis ◽  
Polynomial Regression ◽  
Air Transport ◽  
Trip Generation ◽  
Analysis Model ◽  
Exponential Regression ◽  
Share Model ◽  
Strategic Role ◽  
Analysis Models

Airport of Rahadi Oesman in Kabupaten Ketapang Kalimantan Barat represent the main and important gate for air transport in Kabupaten Ketapang, where this airport own the strategic role in service activities of this transportation even for domestic transportation or regional. Activity in Airport of Rahadi Oesman in a few this the last year has growth so fast growth, so that felt the infrastructure and also available facility in this time have is not adequate again to support the growth rate of air traffic in this airport. In the plan development of facility of air side and also land side of the airport require to be conducted an analysis model of trip generation or attraction of passenger and goods. These models need for the prediction of mount the growth of passenger and goods/cargo and estimate the amount of passenger and aircraft movement in the future pursuant to aircraft characteristic that to be used. The models used for prediction of passenger and goods in this study are Trend Analysis Models consisted of linear regression trend method, exponential regression trend method, and polynomial regression trend method. Besides model of trend analysis, in this study also analyzed Market Share Model. Result from third model then compared to one another to obtain the most appropriate model. Pursuant to analyses result obtained that the best or most appropriate model is Model of Trend Analysis.Model for the attraction passenger is Y = 21,18X2+ 6181X + 5788 by R2= 0,922.Model for the generation passenger is Y = 128,3X2+ 7515X + 4965 by R2= 0,907.Model for the passenger of transit is Y = 795X2+ 561X + 3361 by R2= 1Model for the cargo movement is Y = 2468X2+ 41054X 28341 by R2= 0,918.

scholarly journals PROYEKSI KEBUTUHAN KONSUMSI PANGAN BERAS DI DAERAH ISTIMEWA YOGYAKARTA

2018 ◽  
Vol 32 (1) ◽  
pp. 29 ◽  
Author(s):  
Abdul Rohman ◽  
Artita Devi Maharani
Keyword(s):  
Trend Analysis ◽  
Analysis Model ◽  
Descriptive Research ◽  
The Future ◽  
Region Data ◽  
Rice Consumption ◽  
Asean Countries ◽  
The Government ◽  
Consumption Demand ◽  
Special Region

<p><em>Rice is a staple food for society.Rice consumption in Indonesia is relatively high compared to ASEAN countries,</em><em> </em><em>which is 114 kg/year</em><em>. </em><em>The importance of rice for the society leads the government to provide rice in order to avoid food insecurity due to lack of food supply. To anticipate the increasing needs of food, the projection of rice consumption demand in the future is required. This research was a descriptive research using quantitative approach. The aim of this research was to obtain the prediction or projection of rice consumption demand in Yogyakarta Special Region. Data of rice consumption demand were collected from Department of Food Security and Counseling Agency of Yogyakarta. Data were analyzed using trend analysis by projecting past trends using regression analysis model. The trend analysis shows that rice consumption demand in Yogyakarta is increasing, therefore the strategy is required to fulfill rice supply in the future by prioritizing the production in food production centers.</em></p>

Development of Topic Trend Analysis Model for Industrial Intelligence using Public Data

2018 ◽  
Vol 26 (4) ◽  
pp. 199-232
Author(s):  
Sunyoung Park ◽  
◽  
Gene Moo Lee ◽  
You-Eil Kim ◽  
Jinny Seo
Keyword(s):  
Trend Analysis ◽  
Analysis Model ◽  
Public Data

scholarly journals Economic Growth and Income Disparity between Regencies/Cities in West Java Province

2017 ◽  
Vol 12 (2) ◽  
Author(s):  
S. Lestari ◽  
Ratna Setyawati Gunawan
Keyword(s):  
Economic Growth ◽  
Trend Analysis ◽  
Total Population ◽  
Secondary Data ◽  
Theil Index ◽  
Income Disparity ◽  
Analysis Model ◽  
West Java ◽  
Kuznets Hypothesis ◽  
Index Calculation

The aim of this research is to find out the correlation between economic growth and inter regency income disparity in West Java Province year 2005 to 2014. This research is analysis of secondary data, using GDRP Based on constant price 2010, economic growth, and total population year 2005 to 2014. Data obtional from SCA of West Java Province and also the Local Goverment. Analysis model used is Williamson Index, Entropi Theil Index Calculation, Product Moment Colerration Analysis by Pearson, and Trend analysis. Based on Calculation of Williamson Index and Entropi Theil Index inter regency income disparity in West Java Province considered in high disparity with the average of Williamson index by 0.628 and Entropi Theil Index by 1.421. Based on Trand analysis disparity income show increasing trand. The Kuznets Hypothesis (U-inverted curve) proved to be not applicable in West Java Province during 2005 to 2014, and it shows that inequality is getting worse.Keywords: Income Disparity, Economic Growth, Kuznets Hypothesis.

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