Manajemen Strategik Rumah Amal Salman dalam Meningkatkan Fundraising Zakat

2017 ◽  
Vol 2 (1) ◽  
pp. 68-85
Author(s):  
Erlin Latifah ◽  
Yusuf Zaenal Abidin ◽  
Ahmad Agus Sulthonie
Keyword(s):  
Strategic Planning ◽  
Strategic Management ◽  
Performance Management ◽  
Primary Data ◽  
Strategy Formulation ◽  
Medium Term ◽  
Short Term ◽  
Surrounding Environment ◽  
Depth Interviews

Penelitian ini bertujuan untuk mengetahui bagaimana tahapan manajemen strategik yang dimulai dari Formulasi Strategi, Implementasi Strategi dan yang terakhir Evaluasi Strategi yang digunakan Rumah Amal Salman. Metode yang digunakan dalam penelitian ini menggunakan metode deskriptif dengan pendekatan kualitatatif. Adapun teknik pengumpulan data dengan menggunakan kajian pustaka,observasi, dan wawancara secara mendalam dengan Manajer Litbang Rumah Amal Salman sebagai data primer dan sekunder. Dari hasil penelitian menunjukan bahwa pada tahapan Formulasi Strategi tentang perumusan visi,misi dan tujuan Rumah Amal Salman dengan melakukan analisis lingkungan sekitarnya terlebih dahulu untuk mempertahankan kekuatan dan mengambil peluang yang ada sehingga bisa meminimalisir kelemahan dan ancaman yang terjadi pada lingkungan sekitar sehingga bisa  meningkatkan fundraising zakat.Sedangkan pada tahap Implementasi Strategi yaitu penerapan perencanaan strategis pada program kerja jangka pendek yaitu pada program Salman Day Out Picnic, jangka menengah yaitu program Kampung bangkit, dan jangka panjang yaitu pada program Manajemen kinerja Ekselen Kriteria Zakat. Dan tahapan terakhir yaitu  Evaluasi Strategi yaitu mengevaluasi seluruh kegiatan kerja yang berskala jangka pendek, jangka menengah, dan jangka panjang.Untuk menghasilkan inovasi terbaru pada perencanaan stretgis pada program berikutnya. Oleh karena itu, dapat disimpulkan bahwa manajemen strategik Rumah Amal Salman telah dijalankan dengan baik dan menunjukan keberhasilan yang signifikan dalam upaya meningkatkan Fundraising Zakat. This research aims to find out how the stages of Strategic Management that starts from Strategy Formulation, Strategy Implementation and the last Evaluasi Strategy used Rumah Amal Salman. The data collection techniques using literature review, observation and in depth interviews whit the Rumah Amal Salman research and development manager as secondary and primary data. From the result of the research indicate that in the Formulation Stage of Strategy on the Formulation of vision, mission and objectives of Rumah Amal Salman by conducting the analysis of the surrounding environment in advance to maintain the strength and take the existing opportunities so as to minimize the weaknesses and threats that occur in the surrounding environment so as to increase fundraising zakat. While at the Implementation Strategy stage is the implementation of strategic planning on short term work program that is on Salman Day Out Picnic Program, medium term that isin Kampung Bangkit, and long term that is in program of performance Management of Eccentric Criteria Of Zakat. And the last stage of the Strategy Evalution is to evaluate all work activities that are short term,medium term,and long term. To generate the latest innovations in strategic planning in thenext program. Therefore,it can beconcluded that Rumah Amal Salman Strategic Management has been well executed and shows significant success in efforts to increase the fundraising zakat.

Strategic Thinking and Strategic Planning: Not Yet Habitual in Albania

2018 ◽  
Vol 8 (2) ◽  
pp. 73-77
Author(s):  
Ilda Jeha ◽  
Ylli Çabiri
Keyword(s):  
Strategic Planning ◽  
Prime Minister ◽  
Strategic Thinking ◽  
Actual Cost ◽  
Hypothetical Situation ◽  
Medium Term ◽  
Short Term ◽  
The Republic ◽  
Strategic Studies

Abstract Overall, short-term and medium-term thinking prevails in Albania, while long-term strategic thinking is inexistent. This is reflected in the planning of each sector, where strategic planning is completely missing. The actual cost of addressing problems is much higher and almost unaffordable compared to a hypothetical situation where there would have been strategic studies in place to anticipate them. After analyzing the constitutional functions of the President of the Republic, we conclude that strategic planning functions should be vested on the President’s Office. Being that these functions are not carried out by any other institution the President is impartial according to the Constitution, therefore more reliable; this creates better chances of a solid communication between the President and the Prime Minister and the Speaker of the Assembly. This can be achieved by amending the Constitution, by a popular referendum, or simply by incorporating the solutions in the President’s Organic Law.

The obstacles of China’s intelligent automobile manufacturing industry development

2020 ◽  
Vol 14 (1) ◽  
pp. 159-183
Author(s):  
Yuhong Cao ◽  
Jianxin You ◽  
Yongjiang Shi ◽  
Wei Hu
Keyword(s):  
Sustainable Development ◽  
Strategic Planning ◽  
Manufacturing Industry ◽  
Equation Modeling ◽  
Manufacturing Cost ◽  
Medium Term ◽  
Short Term ◽  
Content Type ◽  
Automobile Manufacturing

Purpose This paper aims to make a systematic study on the factors that hinder the development of China’s intelligent automobile manufacturing industry; based on comprehensive understanding of these obstacles and by optimization means, ultimately, the healthy and sustainable development of intelligent automobile manufacturing industry in China can be promoted. Design/methodology/approach Based on a questionnaire survey of intelligent automobile manufacturing listed companies in China, first, fuzzy semantic scale was adopted to collect respondents’ choices, the fuzzy score function is used to calculate the fuzzy score value and these data are used as the basis for subsequent model analysis. Then, structural equation modeling (SEM) was adopted to analyze the causal relationship between influencing factors to explore the main hinder factors. Findings It is found that, in the short term, the backwardness of technological industrialization is the main reason leading to low permeability of intelligent automobile; in the medium term, the imperfect industrial R&D ability and the insufficiency of infrastructure are major causes for high manufacturing cost and low competitiveness of intelligent automobile manufacturing industry; in the long term, the lack of national policy and industrial strategic planning is the main factors affect intelligent automobile manufacturing cost and the industry competitiveness. Practical implications The research conclusion has important policy implications for promoting intelligent automobile manufacturing sustainable development. In recent years, China’s intelligent automobile manufacturing industry has gradually stepped out of breeding period; therefore, the role of government should be gradually transformed from participants to managers and regulators. Considering the fact that intelligent automobile cost is very high, and still higher than the cost of fuel vehicle, government should focus on the issues such as improving R&D capabilities, infrastructure construction, policy framework system, legal system and technological industrialization. Specifically, in short-term planning, improving technological industrialization level is the key to development; in medium-term planning, policymakers should focus on the improvement of R&D capabilities and infrastructure; considering the long-term development, establishing appropriate national policies and dealing with the adverse impact of imperfect strategic planning are the most sensible choice. Originality/value This paper analyzes the factors that hinder the development of China’s intelligent automobile manufacturing industry for the first time, and provides the basic logic of integration factors at different levels with the development of intelligent automobile to reveal the uniqueness and facts of China’s economic development.

SUMBER-SUMBER RESILIENSI PADA REMAJA AKHIR YANG MENGALAMI KEKERASAN DARI ORANGTUA PADA MASA KANAK-KANAK

Psibernetika ◽  
2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Devina Calista ◽  
Garvin Garvin
Keyword(s):  
Late Adolescents ◽  
Long Term Effects ◽  
Short Term ◽  
Parental Affection ◽  
Resilience Factors ◽  
Childhood Violence ◽  
Past Experiences ◽  
The Impact ◽  
Depth Interviews

<p><em>Child abuse by parents is common in households. The impact of violence on children will bring short-term effects and long-term effects that can be attributed to their various emotional, behavioral and social problems in the future; especially in late adolescence that will enter adulthood. Resilience factors increase the likelihood that adolescents who are victims of childhood violence recover from their past experiences</em><em>,</em><em> become more powerful individuals and have a better life. The purpose of this study was to determine the source of resilience in late adolescents who experienced violence from parents in their childhood. This research uses qualitative research methods with in-depth interviews as a method of data collection. The result shows that the three research participants have the aspects of "I Have", "I Am", and "I Can"; a participant has "I Can" aspects as a source of resilience, and one other subject has no source of resilience. The study concluded that parental affection and acceptance of the past experience have role to the three sources of resilience (I Have, I Am, and I Can)</em></p><p><em> </em></p><p><strong><em>Keyword : </em></strong><em>Resilience, adolescence, violence, parents</em></p>

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 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.

Using Strategic Planning to Improve Performance Management and Its Impact on Organizational Success

2015 ◽  
Vol 6 (4) ◽  
pp. 44-63 ◽  
Author(s):  
Ahmad Ali Mohassesi ◽  
Rozita Shahbaz Keshvari
Keyword(s):  
Strategic Planning ◽  
Private Sector ◽  
Performance Management ◽  
Planning Process ◽  
Management Practice ◽  
Primary Data ◽  
Management Performance ◽  
Management Tools ◽  
Management Function ◽  
Structured Questionnaire

This research investigated the use of the strategic planning process in improving the management performance of private sector in Iran. Measuring performance is a necessary management practice if action is to result in desired outcomes. An important objective of the Iranian private sector was to focus the attention of private servants on clear specified results rather than bureaucratic procedures. The development of performance management to date appears inadequate in that the most important component of results – outcomes is overlooked from the measurement. Primary data were collected through structured questionnaire with 100 respondents from 20 randomly selected private sectors in different environment. The findings showed the necessity of implementation of strategic planning in private sector concerning the use of appropriate performance management tools and strengthening the implementation of strategic planning functions in order to improve management performance. These findings suggest that specific management function-focused process should be designed and implemented.

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