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.  

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 MANAJEMEN STRATEGI ANALISIS SWOT DALAM MENGHADAPI PERSAINGAN BISNIS PADA BMT NU PUSAT GAPURA SUMENEP

2021 ◽  
Vol 2 (1) ◽  
pp. 94-111
Author(s):  
Misbahuddin
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Research Methods ◽  
Swot Analysis ◽  
Qualitative Research Methods ◽  
Basic Method ◽  
Analysis Method ◽  
Short Term ◽  
A Company

SWOT analysis is a form of analysis within company management or within organizations that can systematically assist in the preparation of a mature plan to achieve goals, both short-term and long-term goals. This analysis must be applied by a company. The purpose and benefits of a SWOT analysis are to combine four factors or compositions accurately on how to strangth, weaknes, opportunities and threath. The SWOT analysis method can be considered as the most basic method of analysis, which is useful for looking at a topic or a problem.To facilitate understanding in this study, researchers used qualitative research methods. The data obtained by researchers in the field include interviews with leaders of BMT NU Pusat Gapura Sumenep to find out strategies to face business competition. In addition, the data collection techniques were carried out by researchers by means of interviews, observation and documentation. In this study also, the presence of researchers is very important because researchers are human instruments as well as data collectors

scholarly journals ANALISIS KERENTANAN PERIKANAN TANGKAP AKIBAT PERUBAHAN IKLIM PADA SKALA PROVINSI (Province Scaled Fisheries Vulnerability on Climate Change)

2018 ◽  
Vol 8 (2) ◽  
pp. 223
Author(s):  
Allasay Kitsash Addifisyuka Cintra ◽  
Isdradjad Setyobudiandi ◽  
Achmad Fahrudin
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Composite Index ◽  
High Sensitivity ◽  
Vulnerability Index ◽  
Medium Term ◽  
Short Term ◽  
High Exposure ◽  
Purposive Sampling

<p align="center"><strong><em>ABSTRACT</em></strong><strong></strong></p><p><em>Fisheries has significant roles for the Indonesian economy. Climate change influences Indonesian fisheries through a range of direct and indirect pathaway. A scientific based approach such as vulnerability is needed to determine the risks of climate change and adaptation strategies. Therefore, this study was conducted to analyze the vulnerability of fisheries to climate change on  province scaled in Indonesia. Vulnerability index (VI) is obtained with composite index of exposure (EI), sensitivity (SI) and adaptive capacity (ACI) of ten provinces representing the eastern and western parts of Indonesia by using purposive sampling method. Source of data for indices variables were using recorded datas from relevant institutions. The results showed that fisheries status of North Sulawesi (VI = 0,78), Central Sulawesi (VI = 0,72) and Gorontalo (VI = 0,61) were very vulnerable despite the composition of constituent vulnerability index was different. This difference determined the specific policies to be taken to each province to reduce vulnerability.</em> <em>Short term policies are taken to reduce the vulnerability of the most vulnerable areas on Sulawesi Utara, Sulawesi Tengah, and Gorontalo. Medium term policy is carried out in high sensitivity areas, namely Kepulauan Riau, Sulawesi Utara, and Kalimantan Timur and in low adaptive capacity areas such as Jambi, Gorontalo and Bangka Belitung. Long term policy is conducted for areas with high exposure such as Sulawesi Tengah, Sulawesi Utara and Kalimantan Timur.</em></p><p><strong><em>Keywords</em></strong><em>: Climate change, fisheries, vulnerability, province</em></p><p><em><br /></em></p><p align="center"><strong>ABSTRAK</strong><strong></strong></p>Perikanan tangkap memiliki peranan penting bagi perekonomian Indonesia. Adanya perubahan iklim akan berdampak merugikan secara langsung maupun tidak langsung pada perikanan tangkap Indonesia. Suatu pendekatan ilmiah diperlukan untuk menentukan risiko perubahan iklim dan strategi adaptasi perikanan tangkap, salah satunya adalah analisis kerentanan (<em>Vulnerability</em>). Oleh karena itu penelitian ini dilakukan untuk menganalisis kerentanan perikanan tangkap akibat perubahan iklim pada skala provinsi di Indonesia. Indeks kerentanan (VI) didapatkan dengan mengkompositkan indeks keterpaparan (EI), kepekaan (SI) dan kapasitas adaptif (ACI) dari sepuluh provinsi yang mewakili bagian timur dan barat Indonesia dengan metode <em>purposive sampling. </em>Sumber variabel penyusun indeks variabel menggunakaan rekaman data dari instansi terkait.  Hasil penelitian menunjukkan bahwa provinsi Sulawesi Utara (VI=0,78), Sulawesi Tengah (VI=0,72) dan Gorontalo (VI=0,61) berstatus sangat rentan walaupun komposisi penyusun indeks kerentanannya tidak sama. Perbedaan ini menentukan bahwa jenis kebijakan yang diambil menjadi spesifik pada tiap provinsi untuk mengurangi kerentanan. <em>Short term policy </em>diambil untuk mengurangi dapak di daerah yang paling rentan yaitu Sulawesi Utara, Sulawesi Tengah, dan Gorontalo. <em>Medium term policy </em>dilakukan pada daerah yang kepekaannya tinggi yaitu Kepulauan Riau, Sulawesi Utara, dan Kalimantan Timur dan kapasitas adaptifnya rendah yaitu Jambi, Gorontalo dan Bangka Belitung. <em>Long term policy </em>dilakukan untuk daerah yang keterpaparannya tinggi yaitu Sulawesi Tengah, Sulawesi Utara dan Kalimantan Timur.<p><strong>Kata kunci</strong>:<em> </em>perubahan iklim, perikanan tangkap, kerentanan, provinsi <strong></strong></p>

scholarly journals ALOKASI PENGGUNAAN REMITTANCE TENAGA KERJA WANITA (TKW) DAN DAMPAKNYA TERHADAP KESEJAHTERAAN MASYARAKAT DESA JOROK KECAMATAN UTAN

2019 ◽  
Vol 3 (3) ◽  
pp. 78-90
Author(s):  
Fitriah Permata Cita
Keyword(s):  
Data Collection ◽  
Qualitative Analysis ◽  
Short Term ◽  
Research Results ◽  
Purposive Sampling ◽  
Consumptive Use ◽  
Methods Of Analysis ◽  
Convenience Sampling

This thesis aims to determine the allocation of use of women remittance labor to the level of community welfare and from the allocation type of allocation which has an impact on the welfare of society. This research uses two methods of analysis i.e. qualitative analysis with a deskriftive approach and analysis of process hierarchy with data collection by way of interviews. The research object amounted to 50 people from the former TKW or TKW family determined by Convenience sampling. The second object amounted to 15 experts, namely academics who understand about welfare and determined by purposive sampling. The research location is located in Jorok Village, Utan Sumbawa District. Based on the analysis of the data that has been carried out the research results that there are two types of remittance categories that are consumptive and productive, from the productive use of TKW allocating remittance funds to education, buy land, animals Livestock and enterprises. As for consumptive use, namely fulfillment of daily necessities, vehicles, pay debts and home renovation. When compared to any criteria of productive use, buying land is the use that most affects the TKW in the use of remittance funds and is long term. For consumptive use, daily necessities are the most impactful uses for short-term TKW welfare.

scholarly journals KEBIJAKAN UTANG PERUSAHAAN TAMBANG YANG TERDAFTAR DI BURSA EFEK INDONESIA

2021 ◽  
Vol 07 (01) ◽  
Author(s):  
Pandu Adi Cakranegara ◽  
◽  
Etty Susilowati ◽  
Dian Sukma Deti
Keyword(s):  
Quantitative Research ◽  
Sampling Method ◽  
Linear Regression Method ◽  
Short Term ◽  
Liquidity Management ◽  
Purposive Sampling ◽  
Funding Policies ◽  
Selection Of ◽  
Debt Policies

Abstrak: Penelitian ini bertujuan untuk mengetahui bagaimana perusahaan pertambangan mengelola kebijakan pendanaannya dengan menggunakan kebijakan utang jangka pendek dan jangka panjang. Penelitian ini merupakan penelitian kuantitatif dengan menggunakan metode regresi linier berganda. Dalam penelitian ini dibangun dua model yaitu model utang jangka pendek dan model utang jangka panjang. Metode pengambilan sampel yang digunakan adalah metode purposive sampling. Data yang digunakan adalah data panel, yaitu data berbagai variabel perusahaan dari tahun 2014 hingga 2019. Penelitian ini memberikan kontribusi pada ilmu keuangan terutama yang berkaitan dengan struktur modal yaitu pemilihan kebijakan utang. Model yang lebih mampu memberikan penjelasan tentang kemampuan berutang manajemen adalah model utang jangka pendek. Faktor profitabilitas dan likuiditas yang menjadi pendorong manajemen untuk melakukan utang jangka pendek. Ketika perusahaan memiliki profitabilitas dan likuiditas yang tinggi maka manajemen akan lebih yakin untuk mengambil utang jangka pendek. Sementara itu faktor yang mempengaruhi utang jangka panjang adalah kemampuan manajemen untuk membayar bunga utang. Abstract: This study aims to find out how mining companies manage their funding policies using short-term and long-term debt policies. This research is a quantitative research using multiple linear regression method. In this study, two models were built, namely the short-term debt model and the long-term debt model. The sampling method used is purposive sampling method. The data used is panel data, namely data on various company variables from 2014 to 2019. This research contributes to financial science, especially those related to capital structure, namely the selection of debt policies. The model that is more capable of providing an explanation of management's debt capability is the short-term debt model. Profitability and liquidity factors are the driving force for management to undertake short-term debt. When the company has high profitability and liquidity, management will be more confident to take on short-term debt. Meanwhile, the factor that affects long-term debt is the management's ability to pay interest on the debt.

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.

Strategi Peserta Program Keluarga Harapan (PKH) Mempertahankan Status Pesertanya; Studi Nagari Punggasan Timur Kecamatan Linggo Sari Baganti Kabupaten Pesisir Selatan

2019 ◽  
Vol 3 (2) ◽  
pp. 10-25
Author(s):  
Casiavera
Keyword(s):  
Data Collection ◽  
Sampling Technique ◽  
Structuration Theory ◽  
Structured Interview ◽  
Qualitative Approach ◽  
Duality Relation ◽  
Purposive Sampling ◽  
Depth Interview ◽  
Anthony Giddens

This study explains about PKH recipients’ strategy to accept the assistance and not to be graduated. This study used the qualitative approach using descriptive type. Informants are chosen based on purposive sampling technique while data collection applies observation technique and in-depth interview (loosely structured interview). It uses Structuration theory proposed by Anthony Giddens which focuses on duality relation between agent and structure.

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.

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