LATENT DIRICHLET ALLOCATION DALAM IDENTIFIKASI RESPON MASYARAKAT INDONESIA TERHADAP COVID-19 TAHUN 2020-2021

2021 ◽  
Vol 10 (3) ◽  
pp. 248-257
Author(s):  
Karel Fauzan Hakim ◽  
Pika Silvianti ◽  
Agus Mohammad Soleh
Keyword(s):  
Public Opinion ◽  
Random Sampling ◽  
Latent Dirichlet Allocation ◽  
Time Series Data ◽  
Series Data ◽  
Stratified Random Sampling ◽  
The Public ◽  
Significant Events ◽  
The Government ◽  
Dirichlet Allocation

Covid-19 is a very troubling disease in Indonesia. Therefore, understanding public opinion is required to find solutions and evaluate the government performance in handling the pandemic. Twitter can be helpful to identify the public opinion of significant events. Twitter’s tweet is a large dimension text-based big data. It requires text sampling and text mining to be processed efficiently and effectively. Stratified random sampling with 20 repetitions applied to assume days as strata followed by topic modeling with latent Dirichlet allocation (LDA). This research aims to find out public opinion regarding Covid-19 and itsgrowth over time. Other than that, this research also aims to find out sampling effects on tweet data using stratified random sampling. Therefore, the extracted topics will be transformed into time-series data and considering the variety of the pattern made. Afterward, the transformation results will be explored and interpreted. This research suggests that discussions related to Covid-19 are divided into four topics by the first model, namely: “Vaccine”, “Positive or affected people”, “Health protocol”, and “Indonesia” then nine topics by the second model, namely: “Vaccine”, “Prayer”, “Health protocol”, “Social aid and corruption”, “Affected people”, “Indonesian economy”, “Work”, “Persuading to wear mask”, and “Willing to watch”. Furthermore, some topics peak whenever a significant event occurs in Indonesia. Afterward, this research suggests that 20 repetitions of stratified random sampling could provide good results.

scholarly journals Analysis of Budget Imbalance Dynamics in Kenya

2018 ◽  
Vol 4 (4) ◽  
pp. 352
Author(s):  
Alex Oguso ◽  
Francis M. Mwega ◽  
Nelson H. Wawire ◽  
Purna Samanta
Keyword(s):  
Public Sector ◽  
Time Series Data ◽  
Supply And Demand ◽  
Series Data ◽  
Fiscal Consolidation ◽  
The Public ◽  
Distributed Lag ◽  
Seeking Behavior ◽  
Development Goals ◽  
The Government

<p><em>Kenya needs substantial and sustained fiscal consolidation to create fiscal space for financing the government’s election pledges, the Vision 2030 development projects, and sustainable development goals. However, the government has found it hard to sustain its fiscal consolidation attempts. This study investigates the fiscal consolidation constraints that act through the budget imbalance dynamics in Kenya using the </em><em>Olivera-Tanzi effect approach.</em><em> The study covers the period 2000-2015</em><em> using time series data and employs three </em><em>Auto-regressive Distributed Lag (ARDL) error correction models</em><em> in the analysis. The study showed that a </em><em>rise in the general price levels in the economy, adjustment of minimum wages, rise</em><em> in perceived levels of corruption in the public sector and the political budget cycles (occurrence of a general election) worsen the budget imbalances (deficits) thus </em><em>constrain fiscal consolidation efforts in Kenya. The study also demonstrated that </em><em>budget imbalance dynamics in Kenya could partly be explained by the Olivera-Tanzi proposition. </em><em>The study rec</em><em>ommends measures to reduce the fiscal imbalance gap in Kenya, which include controlling both supply and demand side inflationary pressure and dealing with rent seeking behavior in the public sector.</em></p>

Does Government Pay Attention to the Public? The Dynamics of Public Opinion and Government Attention in Posthandover Hong Kong

2019 ◽  
Vol 32 (4) ◽  
pp. 641-658
Author(s):  
Chuanli Xia ◽  
Fei Shen
Keyword(s):  
Hong Kong ◽  
Public Opinion ◽  
Central Government ◽  
Time Series Data ◽  
Theory And Practice ◽  
Series Data ◽  
The Public ◽  
Government Response ◽  
Dynamic Relationships ◽  
Public Opinion Polls

Abstract Government response to public opinion is essential to democratic theory and practice. However, previous research on the relationship between public opinion and government attention predominantly focuses on western societies. Little is known about such relationship in nonwestern or nondemocratic societies. Drawing upon time-series data of public opinion polls and government press releases, this study examines the dynamic relationships between public opinion and government attention in posthandover Hong Kong. The findings reveal that the responsiveness of the Hong Kong government to public opinion varies across issue domains and is constrained by the political power from the central government in Beijing.

scholarly journals Analysis of Health Research Topics in Indonesia Using the LDA (Latent Dirichlet Allocation) Topic Modeling Method

2020 ◽  
Vol 4 (2) ◽  
pp. 336-344
Author(s):  
Yoga Sahria ◽  
Dhomas Hatta Fudholi
Keyword(s):  
Health Research ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Research Trend ◽  
The Public ◽  
Know How ◽  
The Government ◽  
Python Programming ◽  
Dirichlet Allocation

In this time, the need of research, the development and the implementation of the result of research in health is increasing both from the researchers, the government, the academic even of from the public general. One of the ways to find out the health research trend is by topic modeling. The method that used in this research is topic modeling LDA (Latent Dirichlet Allocation) method. The purpose of this research is to identify how modeling topic method LDA analyze modeling topic to some health research in Indonesia by Sinta Journal and to know how the coherence value in each topic of the model that has been made. Besides, hopefully it can be used as a reference to do heath research in Indonesia based the topic that has been modeled. The development of this research uses Anaconda3 Python Programming Language Tools and utilizes the LDA library that provided to get the topic model. To examine the result of this research the respondent are medical worker, health researcher and academics. The result of this research the topic  modeling that used 94,1% respondent say very good and 5,9% say good.

Transport infrastructure of the Rostov Oblast: Problems and prospects for development in the context of national projects implementation

2020 ◽  
Vol 19 (6) ◽  
pp. 1015-1034
Author(s):  
O.Yu. Patrakeeva
Keyword(s):  
Time Series Data ◽  
Mutual Influence ◽  
Rostov Oblast ◽  
Transport Infrastructure ◽  
Series Data ◽  
Cointegration Tests ◽  
Level Of Economic Development ◽  
Short Run ◽  
The Government ◽  
The Impact

Subject. The paper considers national projects in the field of transport infrastructure, i.e. Safe and High-quality Roads and Comprehensive Plan for Modernization and Expansion of Trunk Infrastructure, and the specifics of their implementation in the Rostov Oblast. Objectives. The aim is to conduct a statistical assessment of the impact of transport infrastructure on the region’s economic performance and define prospects for and risks of the implementation of national infrastructure projects in conditions of a shrinking economy. Methods. I use available statistics and apply methods and approaches with time-series data, namely stationarity and cointegration tests, vector autoregression models. Results. The level of economic development has an impact on transport infrastructure in the short run. However, the mutual influence has not been statistically confirmed. The paper revealed that investments in the sphere of transport reduce risk of accidents on the roads of the Rostov Oblast. Improving the quality of roads with high traffic flow by reducing investments in the maintenance of subsidiary roads enables to decrease accident rate on the whole. Conclusions. In conditions of economy shrinking caused by the complex epidemiological situation and measures aimed at minimizing the spread of coronavirus, it is crucial to create a solid foundation for further economic recovery. At the government level, it is decided to continue implementing national projects as significant tools for recovery growth.

Revisiting the growth effects of government bonds in the emerging capital market.

2019 ◽  
Vol 3 (1) ◽  
pp. 32-38
Author(s):  
Temitayo O. Olaniyan ◽  
Samuel O. Ekundayo
Keyword(s):  
Method Of Moments ◽  
Capital Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Annual Reports ◽  
Series Data ◽  
Government Bonds ◽  
Market Growth ◽  
The Public ◽  
Generalised Method Of Moments

We revisited the effects of government bonds for the growth on the Nigerian capital market. Utilising time-series data obtained from the Nigeria Stock Exchange (NSE) annual reports for the period from 2010 to 2017, this study through the Generalised Method of Moments (GMM) regression estimator found that the value and the number of listed government bonds’ positively and significantly affect capital market growth in Nigeria. Furthermore, low capitalisation of government bonds negatively affects the growth of the market. The null hypothesis of the Hansen J-statistics is accepted; hence this implies that the IVs used in the GMM model is valid. We concluded that government bonds have positive and significant effects on the growth of the Nigerian capital market, thus government bonds have made the NSE All-Share Index grow over the period under investigation. Following the findings from the study, it was recommended, inter alia, that there should be more issuance of government bonds to the public and further to enhance the efficiency of the capital markets, both primary and secondary, while the funds raised from the capital market through government issuance should be channelled towards Nigeria’s productive sectors to promote an all-inclusive growth in the Nigerian economy.

scholarly journals Hypothesizing directional causality between the governance indicators and economic growth: the case of Afghanistan

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Mohammad Naim Azimi ◽  
Mohammad Musa Shafiq
Keyword(s):  
Economic Growth ◽  
Rule Of Law ◽  
Time Series Data ◽  
Political Stability ◽  
Wald Test ◽  
Series Data ◽  
Vector Autoregressive ◽  
Government Effectiveness ◽  
Governance Indicators ◽  
The Government

AbstractThis paper examines the causal relationship between governance indicators and economic growth in Afghanistan. We use a set of quarterly time series data from 2003Q1 to 2018Q4 to test our hypothesis. Following Toda and Yamamoto’s (J Econom 66(1–2):225–250, 1995. 10.1016/0304-4076(94)01616-8) vector autoregressive model and the modified Wald test, our empirical results show a unidirectional causality between the government effectiveness, rule of law, and the economic growth. Our findings exhibit significant causal relationships running from economic growth to the eradication of corruption, the establishment of the rule of law, quality of regulatory measures, government effectiveness, and political stability. More interestingly, we support the significant multidimensional causality hypothesis among the governance indicators. Overall, our findings not only reveal causality between economic growth and governance indicators, but they also show interdependencies among the governance indicators.

scholarly journals ANALISIS PENGARUH REMITANSI, INVESTASI ASING LANGSUNG, IMPOR DAN PERTUMBUHAN EKONOMI DI INDONESIA

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Regina Septriani Putri ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Positive Effect

Abstract : This study examined and analysis the effect of remittances, foreigndirect investment, imports, and economic growth in Indonesia in the long run andshort run. This study using Error Correction Model (ECM) method and using theannual time series data from 1989 to 2018. This study found that: (1) remittancehave an insignificant positive effect on economic growth in the long run and shortrun,(2)foreign direct investment have a significant positive impact on economicgrowth in the long run and short run, (3) import have an insignificant positiveimpact on economic growth both in the long run and short run. To increase theeconomic growth in the future, this study suggests the government to decresingimports of consume goods and increasing the inflow of capital goods, rawmaterial goods, remittances and foreign direct investment.Keyword : Remittance, Foreign Direct Investment, Import, Economic Growth andECM

scholarly journals E-LEARNING ACCESSIBILITY IN STATE-OWNED SCHOOLS IN NORTH BALI

2019 ◽  
Vol 26 (1) ◽  
pp. 8
Author(s):  
Wicaksana Gede Dharma Arya ◽  
Dewi Ni Putu Febriana
Keyword(s):  
Qualitative Research ◽  
Public Opinion ◽  
Snowball Sampling ◽  
The Real ◽  
The Public ◽  
Interview Guide ◽  
E Learning ◽  
The Government ◽  
Descriptive Qualitative

This study aimed at investigating the implementation of e-learning in one of government non-favourite schools in Singaraja. This study was the result of the real implementationof e-learning in Bali in which the government expected e-learning to be applicable in every school in Bali since the launching of Balinese version of E-learning 2017. This research was a descriptive qualitative research. This study used snowball sampling in which the public opinion was counted. The data were collected by using observation and interview guide. The result of the study showed that the implementation of e-learning was not running well and became a serious problem. Some sollutions were offered in this study.

scholarly journals Current Situation of Egyptian Cotton: Econometrics Study Using ARDL Model

2019 ◽  
Vol 11 (10) ◽  
pp. 88
Author(s):  
Yosri Nasr Ahmed ◽  
Huang Delin
Keyword(s):  
Time Series Data ◽  
Agricultural Practices ◽  
Government Support ◽  
Series Data ◽  
Cotton Crop ◽  
Export Prices ◽  
The Government ◽  
Bound Test ◽  
Egyptian Cotton ◽  
Relative Profitability

The Egyptian cotton crop have experienced challenges in recent years from a drop in the quantity produced and exported, to a decrease in cultivated areas, this have affected the production quantity and value of exports. This study aims to bridge the research gap by exploring the nexus between cultivated area of cotton in Egypt, Relative profitability (cotton-clover/rice-clover), export quantity of cotton, the export prices of Egyptian cotton and the export prices of American cotton (Pima). In order to clarify the relationship between the variables studied and the cultivated area of cotton, the research use time series data from 1980 to 2016, using the Autoregressive Distributed Lag (ARDL) bound test to the find the co-integration between the variables after checking the stationarity in chosen variables with different unit root tests e.g. Augmented Dickey-Fuller (ADF) and the Phillips-Perron (PP). The results show, significant factors that influence the cultivated area of cotton include Relative profitability (cotton-clover/rice-clover), export quantity of cotton in long run term. Which underscores the need for government support in agriculture, in particular, cotton crop support. The increasing trend of cotton cost with declining revenue and decreasing in exports quantity is the main cause of decreased cultivated area of Egyptian cotton. Research recommends that support should be given to cotton farmers, in the form of agricultural equipment or training in good agricultural practices or set a price for cotton guaranteeing a decent profit margin for the farmers. The government (policy makers) should improve the productivity of cotton with the purpose of reducing the total costs and increasing the degree of competitiveness of the Egyptian cotton. Some effective policy measures may include but not limited to, farmer training programs and providing better extension services that will led to the capacity development of farmers.

scholarly journals IMPACT OF FOREIGN DIRECT INVESTMENT ON EXPORT SECTOR IN NIGERIA (1981-2018)

2020 ◽  
pp. 19-24
Author(s):  
Edeh, Chukwudi Emmanuel ◽  
Obi, Cyril Ogugua ◽  
Mbaeri, Clara Ndidiamaka ◽  
Ebite Ogochukwu Njideka
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Linear Equations ◽  
Series Data ◽  
Cent Increase ◽  
Oil Export ◽  
Oil Sector ◽  
The Government ◽  
The Impact

The objective of the study is to examine the impact of FDI on exports in Nigeria for the period 1981-2018. Specifically, two linear equations were formulated to trace the impact of FDI on oil sector and non-oil sector. The explanatory variables in the study were exchange rate, GDP, degree of openness, FDI, and inflation. The ADF technique was used to test for the stationarity of the time series data. The results of the Error Correction models reveal that there is a positive and significant (P(FDI) = 0.000) relationship between FDI and oil export in Nigeria. One per cent increase in FDI leads to 0.47 per cent increase in oil export over the period under study. There is a positive and significant (P(FDI) = 0.005) relationship between FDI and non-oil export in Nigeria. One per cent increase in FDI leads to 0.31 per cent increase in non-oil export over the period under study. The impact of FDI on the oil export is higher than the non-oil sector by 0.16 per cent. The study recommends for more aggressive policies to attract FDI in the oil sector to be pursued by the government. Obstacles to doing business in Nigeria should be removed. KEYWORDS: Foreign direct investment, oil export, non-oil export

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