Kolaborasi Karang Taruna Dalam Tata Kelola Zakat Menuju Jabar Juara

2020 ◽  
Vol 12 (1) ◽  
pp. 38-46
Author(s):  
Itto Turyandi
Keyword(s):  
Swot Analysis ◽  
Medium Term ◽  
Short Term ◽  
Collaborative Activity ◽  
West Java ◽  
Youth Organization ◽  
The People ◽  
Use Of Social Media ◽  
Management Institutions

This study aims to see and know the positioning and brand of BAZNAS Jabar, as a government agency that requires coordination, distribution, utilization, reporting of zakat management, infaq, shodaqoh and partnership partnerships with social organizations in West Java. The research method uses qualitative analysis with a SWOT analysis from the perspective of the management of the amil zakat body. This research resulted in a strategic planning in the short-term, medium-term and long-term planning as well as amil zakat management institutions to gain trust and acceptance and pride for the people of West Java. One of the efforts suggested is a collaborative activity with Karang Taruna West Java social organization. The conclusion shows, West Java Amil Zakat Board has more opportunities for improvement, distribution, optimization of utilization and reporting through collaboration with Youth Organization. To get human resources who like and have the capacity with capabilities as not the main in getting support, distribution, utilization, and approval of the management of zakat, infaq, shodaqoh through improving the muzaki and mustahik database with its successor, culture and wisdom of each region in West Java. The West Java Amil Zakat Agency should ideally have a tiered zakat education program to the community, to answer the challenges of the industry era 4.0 by implementing a governance regulation that is supported and optimizing the use of social media for social campaigns in zakat, infaq, shodaqoh, and social social assistance funds the other.

scholarly journals STRATEGI USAHA BIRO PERJALANAN WISATA SUMATERA BARAT DALAM MENGHADAPI KRISIS PANDEMI COVID-19

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Rini Eka Sari ◽  
Novi Yanita ◽  
Sepri Neswardi
Keyword(s):  
Data Collection ◽  
Sampling Method ◽  
Swot Analysis ◽  
Research Data ◽  
Medium Term ◽  
Short Term ◽  
Purposive Sampling ◽  
Depth Interview ◽  
Tour Operator

The study is aimed to formulate the stategies of West Sumatera’s Tour Operator in facing the COVID-19 Pandemic crisis. The limitation of mobilization in travelling to break the chain of the spreading of COVID-19 Pandemic, has paralyzed the Tour operator business in all regions including in West Sumatera. The strategies are formulated using SWOT analysis (Strength, Weakness, Opportunity, Thread), by minimizing the weakness and thread and maximizing the strength and opportunity. Research data collection is conducted through in depth interview with some tour operator business stakeholders in West Sumatera, using purposive sampling method. Then, the data is analyzed descriptively, by noticing the strength, weakness, opportunity and thread factors of tour operator business in West Sumatera to formulate the strategies in facing the COVID-19 Pandemic crisis. The result reveals that there are several strategies conducted by tour operators in West Sumatera in the stage of short-term strategies, medium term strategies and long-term strategies to sustain the business.  

Evaluating the Financial Performance Through ‘Consumer Centric Decision’ Approach in Pharmaceutical Companies of Bangladesh: a Business Planning Perspective

2017 ◽  
Vol 9 (1) ◽  
pp. 168
Author(s):  
Md Mostafizur Rahman ◽  
Mahmud Uz Zaman
Keyword(s):  
Market Share ◽  
Swot Analysis ◽  
Financial Analysis ◽  
Pharmaceutical Companies ◽  
Short Term ◽  
The Public ◽  
Investment Choice ◽  
Good Investment ◽  
Business Analysis

Pharmaceuticals agglomerations consistently use their brand image and versatile product portfolios to consolidate their position in the financial sector, which is evident in their continuous profit making and expansion in market share. This paper explores the short-term and long-term investment attractiveness through ‘consumer centric decision’ approach in two selected pharmaceutical companies, Renata Limited and Orion Pharma Limited, of Bangladesh over the last three years’ period. This research adopts a systematic approach which primarily addresses the various concerns of investors to illustrate the decision-making process of the existing and future investors. Using primarily domestic transaction data, this study explores how the leading pharmaceuticals companies of Bangladesh effectively use the wide array of drug portfolios mix with appropriate branding techniques to increase their financial profit and market share simultaneously. Both SWOT analysis and Porters Five Forces Model explore the business analysis of Renata Limited in compare to Orion Pharma Limited that provides a conclusion regarding investors’ decision to invest in Renata Limited. Considering the financial analysis, Renata’s financial liquidity is not very satisfactory and could have been improved further if management is prudent on financial strategy settings. Findings of the business analysis indicate that Renata Limited would be a good investment choice for existing and prospective shareholders based on its opportunities for long term and short term growth and further expansion in developing the market. The results suggest that even lower liquidity coupled with higher interest borrowings can be balanced by posing positive picture to the public shareholders by returning the positive dividend to them.

scholarly journals Long-Term Data Traffic Forecasting for Network Dimensioning in LTE with Short Time Series

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1151
Author(s):  
Carolina Gijón ◽  
Matías Toril ◽  
Salvador Luna-Ramírez ◽  
María Luisa Marí-Altozano ◽  
José María Ruiz-Avilés
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Time Series Analysis ◽  
Data Traffic ◽  
Medium Term ◽  
Short Term ◽  
Traffic Forecasting ◽  
Series Analysis ◽  
Radio Planning

Network dimensioning is a critical task in current mobile networks, as any failure in this process leads to degraded user experience or unnecessary upgrades of network resources. For this purpose, radio planning tools often predict monthly busy-hour data traffic to detect capacity bottlenecks in advance. Supervised Learning (SL) arises as a promising solution to improve predictions obtained with legacy approaches. Previous works have shown that deep learning outperforms classical time series analysis when predicting data traffic in cellular networks in the short term (seconds/minutes) and medium term (hours/days) from long historical data series. However, long-term forecasting (several months horizon) performed in radio planning tools relies on short and noisy time series, thus requiring a separate analysis. In this work, we present the first study comparing SL and time series analysis approaches to predict monthly busy-hour data traffic on a cell basis in a live LTE network. To this end, an extensive dataset is collected, comprising data traffic per cell for a whole country during 30 months. The considered methods include Random Forest, different Neural Networks, Support Vector Regression, Seasonal Auto Regressive Integrated Moving Average and Additive Holt–Winters. Results show that SL models outperform time series approaches, while reducing data storage capacity requirements. More importantly, unlike in short-term and medium-term traffic forecasting, non-deep SL approaches are competitive with deep learning while being more computationally efficient.

Sampling estuarine copepods at different scales and resolutions: a study in Rio de la Plata

2018 ◽  
Vol 99 (5) ◽  
pp. 1059-1064 ◽  
Author(s):  
Sourav Paul ◽  
Danilo Calliari
Keyword(s):  
Sampling Effort ◽  
Rio De La Plata ◽  
Population Densities ◽  
Medium Term ◽  
Short Term ◽  
Río De La Plata ◽  
La Plata ◽  
Resource Limitations ◽  
Paracalanus Parvus

AbstractIn the Rio de la Plata salinity, temperature, chlorophyll a (chl a), and densities (ind. m−3) of the copepods Acartia tonsa and Paracalanus parvus were measured from January to November in 2003 by following a nested weekly and monthly design. Such sampling yielded two separate datasets: (i) Yearly Dataset (YD) which consists of data of one sampling effort per month for 11 consecutive months, and (ii) Seasonal Weekly Datasets (SWD) which consists of data of one sampling effort per week of any four consecutive weeks within each season. YD was assumed as a medium-term low-resolution (MTLR) dataset, and SWD as a short-term high-resolution (STHR) dataset. The hypothesis was, the SWD would always capture (shorter scales generally captures more noise in data) more detail variability of copepod populations (quantified through the regression relationships between temporal changes of salinity, temperature, chl a and copepod densities) than the YD. Analysis of both YD and SWD found that A. tonsa density was neither affected by seasonal cycles, nor temporal variability of salinity, temperature and chl a. Thus, compared to STHR sampling, MTLR sampling did not yield any further information of the variability of population densities of the perennial copepod A. tonsa. Analysis of SWD found that during summer and autumn the population densities of P. parvus had a significant positive relationship to salinity but their density was limited by higher chl a concentration; analysis of YD could not yield such detailed ecological information. That hints the effectiveness of STHR sampling over MTLR sampling in capturing details of the variability of population densities of a seasonal copepod species. Considering the institutional resource limitations (e.g. lack of long-term funding, manpower and infrastructure) and the present hypothesis under consideration, the authors suggest that a STHR sampling may provide useful complementary information to interpret results of longer-term natural changes occurring in estuaries.

scholarly journals Towards the best future for humankind: ZIPAR whitepaper.

2018 ◽  
Author(s):  
Marko Kovic ◽  
Christian Caspar ◽  
Adrian Rauchfleisch
Keyword(s):  
Medium Term ◽  
Short Term ◽  
Profound Impact ◽  
Future Challenges ◽  
The Way

Humankind is facing major challenges in the short-term, medium-term, and long-term future. Those challenges will have a profound impact on humankind’s future progress and wellbeing. In this whitepaper, we outline our understanding of humankind’s future challenges, and we describe the way in which we work towards identifying as well as managing them. In doing so, we pursue the overall goal of ZIPAR: We want to make the best future for humankind (ever so slightly) more probable.

scholarly journals Analisis Peluang Penyertaan Modal Pemerintah Daerah Kota XYZ pada PT Bank Jawa Barat dan Banten (Bank BJB)

2016 ◽  
Vol 2 (1) ◽  
pp. 54
Author(s):  
Dian Yudo Palupi ◽  
Farida Ratna Dewi ◽  
R. Dikky Indrawan
Keyword(s):  
Swot Analysis ◽  
Financial Analysis ◽  
Risk Exposure ◽  
Regional Government ◽  
Government Bond ◽  
Short Term ◽  
Small Risk ◽  
Short Term Investment ◽  
Stock Share

Economic growth and public welfare are the reason of regional autonomy regulation policy (UU No 22 year 1999). The policy allows regional economic resources managed by regional government to achieve its goal. One of the regional government strategies is investment strategy, which in this case investing in banking industry. The purposes of the study are 1) to identify the investment regulation on regional government 2) to identify the Bank BJB business and investment environment 3) to identify the comparison of investment feasibility on Bank BJB versus other banks 4) to identify the position of Stock Share A series owned by XYZ at Bank BJB. The data collection methods are using structured interview, in depth interview, field survey and literature study. The analysis tools are using institutional analysis, SWOT analysis and financial analysis. Institutional analysis showed XYZ regional government investment management is limited to regulation as follow 1) long term capital (stock share) investment limited only at BUMD (e.g. Bank BJB) 2) short term investment e.g. saving and deposit is limited only at healthy and feasible bank, and government bond which has small risk exposure. The financial analysis also showed the increasing performance of BJB Earning per Share (EPS) and Return on Equity (ROE) from 2006 until 2010. The SWOT analysis support other analysis that BJB Bank position in financial industry is suitable for long term and short term investment for XYZ regional government. Base on explanation above, the conclusions are the autonomy regulation limited XYZ regional government to invest as shareholders in A series (stock share) or B series (stock share) at BJB Bank only, and for short term investment is limited only at healthy and feasible bank, and government bond which has small risk exposure.

scholarly journals Intralymphatic immunotherapy for allergic rhinoconjunctivitis: a systematic review and meta-analysis

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
M.P. Hoang ◽  
K. Seresirikachorn ◽  
W. Chitsuthipakorn ◽  
K. Snidvongs
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Specific Ige ◽  
Allergic Rhinoconjunctivitis ◽  
Medium Term ◽  
Short Term ◽  
Intralymphatic Immunotherapy ◽  
Specific Igg4 ◽  
Igg4 Level

BACKGROUND: Intralymphatic immunotherapy (ILIT) is a new route of allergen-specific immunotherapy. Data confirming its effect is restricted to a small number of studies. METHODOLOGY: A systematic review with meta-analysis was conducted. The short-term (less than 24 weeks), medium-term (24-52 weeks), and long-term (more than 52 weeks) effects of ILIT in patients with allergic rhinoconjunctivitis (ARC) were assessed. The outcomes were combined symptom and medication scores (CSMS), symptoms visual analog scale (VAS), disease-specific quality of life (QOL), specific IgG4 level, specific IgE level, and adverse events. RESULTS: Eleven randomized controlled trials and 2 cohorts (483 participants) were included. Compared with placebo, short term benefits of ILIT for seasonal ARC improved CSMS, improved VAS and increased specific IgG4 level but did not change QOL or specific IgE level. Medium-term effect improved VAS. Data on the long-term benefit of ILIT remain unavailable and require longer term follow-up studies. There were no clinical benefits of ILIT for perennial ARC. ILIT was safe and well-tolerated. CONCLUSION: ILIT showed short-term benefits for seasonal ARC. The sustained effects of ILIT were inconclusive. It was well tolerated.

scholarly journals A Study of Multi-Scale Relationship Between Investor Sentiment and Stock Index Fluctuation Based on the Analysis of BEMD Spillover Index

2021 ◽  
Vol 9 (4) ◽  
pp. 399-420
Author(s):  
Weiguo Chen ◽  
Shufen Zhou ◽  
Yin Zhang ◽  
Yi Sun
Keyword(s):  
Stock Price ◽  
Composite Index ◽  
Investor Sentiment ◽  
Stock Index ◽  
Financial Industry ◽  
Medium Term ◽  
Short Term ◽  
Frequency Components ◽  
Original Scale

Abstract According to behavioral finance theory, investor sentiment generally exists in investors’ trading activities and influences financial market. In order to investigate the interaction between investor sentiment and stock market as well as financial industry, this study decomposed investor sentiment, stock price index and SWS index of financial industry into IMF components at different scales by using BEMD algorithm. Moreover, the fluctuation characteristics of time series at different time scales were extracted, and the IMF components were reconstructed into short-term high-frequency components, medium-term important event low-frequency components and long-term trend components. The short-term interaction between investor sentiment and Shanghai Composite Index, Shenzhen Component Index and financial industries represented by SWS index was investigated based on the spillover index. The time difference correlation coefficient was employed to determine the medium-term and long-term correlation among variables. Results demonstrate that investor sentiment has a strong correlation with Shanghai Composite Index, Shenzhen Component Index and different financial industries represented by SWS index at the original scale, and the change of investor sentiment is mainly influenced by external market information. The interaction between most markets at the short-term scale is weaker than that at the original scale. Investor sentiment is more significantly correlated with SWS Bond, SWS Diversified Finance and Shanghai Composite Index at the long-term scale than that at the medium-term scale.

“The Death of Liberal Internationalism?: Donald Trump, Walmart, and the Two Koreas”

2018 ◽  
Vol 25 (2) ◽  
pp. 169-197
Author(s):  
Mitchell B. Lerner
Keyword(s):  
United States ◽  
The United States ◽  
Business Practices ◽  
Short Term ◽  
New Approach ◽  
Liberal Internationalism ◽  
The People ◽  
Modern Business ◽  
Short Time

The election of Donald J. Trump unsettled many areas of U.S. foreign policy, but few more than the nation’s relationship with Korea. This article argues that the Trump administration’s vision for the world represents a stark break from the tradition of liberal internationalism and instead seeks to take the United States down a path that reflects the modern business practices of giant American corporations. A suitable label for this vision, as the following pages will show, is “Walmart unilateralism.” This framework abandons the traditional American policies of nation building and alliances based on shared ideological values. Instead, it embraces a more short-term approach rooted in financial bottom lines, flexible alliances and rivalries, and the ruthless exploitation of power hierarchies. This new approach, this article concludes, may dramatically transform the American relationship with Korea. Walmart unilateralism in Korea almost certainly will have some short-time positive ramifications for the United States, but its larger failure to consider the history and values of the people living on the Korean Peninsula may generate serious long-term problems for the future experience of the United States in the region.

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