scholarly journals Manajemen Program Pengembangan Kurikulum PAI dan Budi Pekerti dalam Pembentukan Karakter Religius Siswa

2021 ◽  
Vol 2 (1) ◽  
pp. 1-20
Author(s):  
Poetri Leharia Pakpahan ◽  
Umi Habibah
Keyword(s):  
Qualitative Study ◽  
Human Resources ◽  
Core Competencies ◽  
Development Program ◽  
Content Standards ◽  
Case Description ◽  
Medium Term ◽  
Short Term ◽  
Basic Competencies

The research was a qualitative study using a case description in the elementary Muhammadiyah Macanan. The informans are head master of elementary Muhammadiyah Mcanan, PAI dan Budi Pekerti’s teacher, coordinator of curriculum, Thafidz’s teacher, teacher’s class, and fifth graders. The technique for collecting datas are used observations, and documentations, and indepth interviews. And the result showed that: 1) manajement of curriculum development program PAI dan Budi Pekerti used four functions management, they are a) Plannings arranged in the vision, missions, and objectives of the program, and the various programs, they are short term, medium-term, and long term programs  b) Organizing of human resources involved in the preparation of program and graduation competency standards, c) Implementations of development program are devided to dhuha prayers, dzuhur prayers, jum’at prayers, reading the holly Qur’an, and memorizing the qur’an. And content standards consisting of core competencies and basic competencies d) Evaluations are devided to achievement of planning, organizing, and implementing through graduation competency standards in dimency of attitude and skills. 2) The building of religious characters are devided to a) the teacher’s way how to provide the building religious characters; b) the teacher’s way to do the building religious characters; c) habituation methods in building religious characters.

Manajemen program pengembangan panca jangka, kemandirian dan kemajuan Pondok Modern Darussalam Gontor Indonesia

2020 ◽  
Vol 4 (1) ◽  
pp. 30
Author(s):  
Katni Katni ◽  
Ayok Ariyanto ◽  
Sigit Dwi Laksana
Keyword(s):  
Foreign Students ◽  
Development Program ◽  
Boarding Schools ◽  
Islamic Education ◽  
Religious Leaders ◽  
Medium Term ◽  
Short Term ◽  
Strategic Plans ◽  
Study Programs

This research is aimed at investigating the philosophical meaning of Pondok Gontor's Modern Darussalam using the management of the "Five Term" development program. Exploring the management relations of the "five term" development program, to the independence and progress of Pondok Gontor and, exploring the extent of the results of the "Panca Term" development program of the Pondok Gontor Modern Darussalam in realizing its independence and educational progress. Based on preliminary studies that the management of the development program "Panca Term" Pondok Modern Darussalam Gontor showed its success. Among the results that appear until the age of 90 this year, that PMDG succeeded in producing alumni who became prominent national figures, had 16 branch boarding schools throughout Indonesia, had businesses in the economy quite rapidly, had very large waqf assets, developed Darussalam Gontor University, which until now has succeeded in having S1, S2 and S3 study programs. In addition, his other successes were managed by his marketing to many foreign students and students who sought knowledge in Gontor. Including Pondok Gontor, is in demand by Indonesian elites, such as the children of state officials and national religious leaders. This is what attracts researchers to conduct this research. So it is felt that their presence is needed as a management model for developing Islamic boarding schools in particular and Islamic education in general. The management system model that can be transformed is in preparing strategic plans for the long-term, medium-term and short-term development management models in creating independence and progress in pesantren and Islamic education institutions in general.

scholarly journals Strategi Membangun Keunggulan di Era Disrupsi: Kajian di Pondok Pesantren Annur Azzubaidi, Konawe, Sulawesi Tenggara

2021 ◽  
pp. 102
Author(s):  
Nur Alim ◽  
Syahrul Syahrul
Keyword(s):  
Qualitative Research ◽  
Human Resources ◽  
Large Scale ◽  
Animal Husbandry ◽  
Community Relations ◽  
Data Display ◽  
Medium Term ◽  
Short Term ◽  
Collection Data

This article describes the struggle of the Pesantren Annur Azzubaidi in building excellence in the era of disruption. The aspects studied are: developing the vision of the Pesantren, large-scale planning, strengthening the skills of students, and strengthening community relations. The deepening process is carried out through qualitative research with the narrative method, where the data is obtained through observation, interviews and document studies. Meanwhile, data analysis goes through the stages: data collection, data reduction, data display, and data verification. The results showed that: 1) the development of the vision of the Pesantren Annur Azzubaidi leads to the development of quality human resources in science; 2) large-scale planning embodied in short-term plans, medium-term plans, and long-term plans; 3) train students' skills in various fields such as agriculture, animal husbandry, arts, and entrepreneurship; 4) build partnerships and strengthen relationships with the community. This study recommends the need for further research on the resilience of the cottage tradition in the industrial era 4.0.

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 PENGARUH PARTISIPASI MANAJER TERHADAP EFEKTIVITAS SISTEM INFORMASI AKUNTANSI

2018 ◽  
Vol 2 (1) ◽  
pp. 65-70
Author(s):  
Ikromi Abd Ghani HSB ◽  
Dovi Septiari
Keyword(s):  
Information System ◽  
Human Resources ◽  
Research Method ◽  
Accounting Information ◽  
Business Environment ◽  
Positive Influence ◽  
Short Term ◽  
Accounting Information System ◽  
Independent Variable

The development of the business environment in globalization era has been triggered an increasingly tight business competition. Every companies who have an established its own strategies to manage a variety of information, human resources, allocation of funds and others. Accounting information system is a great resources that very valuable to an organization for the smoothness management of the company’s financial and decision making wheter it is to long term and short term, however there are several aspect that can be a factors the effectiveness of the accounting information system, that is manager’s participation. The research is aimed to proves that manager’s participation and manager’s involvement had a positive influence on the effectiveness of accounting information system (AIS) at manufacturing company, especially in the industrial zone Batamindo Mukakuning Batam City. The research method is using regression analysis to proves are the manager’s participation (independent variable) and manager’s involvement (independent variable) gives effect to the effectiveness of information system (dependent variable) or not. The result of this research is shows that variable of manager’s participation and manager’s involvement has a significant influence to the effectiveness of information system. The method is using purposive sampling is done by taking a sampling of the population according to certain criteria.

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.

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