ABSTRACT
Massive social restrictions due to the spread of COVID-19 have increased the amount of data traffic also the number of devices connected to the network. The pandemic requires mobile operators to deploy superior communications networks to support work-from-home (WFH) activities. Tenant implementation strategies should support infrastructure development, including the deployment of telecommunications towers. In this case, P.T. XYZ offers rental services for new towers (built-to-suit) as well as rentals for existing company-owned towers (colocation). Ownership of numerous towers is balanced by a strong capital structure. Uptime factors affect the cost efficiency of a company. Therefore, it is necessary to analyze the investment feasibility of built-to-suit and colocation services. The analysis will determine which BTS tower acquisitions can offer the best benefits and costs for PT.XYZ. This research case study uses cost-benefit analysis to calculate the financial (direct and indirect costs) and benefits (tangible and intangible benefits) attained by comparing built-to-suit and colocation services data collected through interviews and document reviews. The colocation service business strategy for renting customized towers is more promising. It seen from the financial cost-benefit calculation. That is a positive NPV of IDR 590,754,896 and an investment efficiency level (IRR) of 13.18%. The ROI of the period lasts 5 years and 2 months, reaching a projected ROI of 18.77%. The cost-benefit ratio of colocation is also higher at 8.4:6.3 than built-to-suit. This is because the benefits obtained are proportional to the capital costs incurred by the existing tower to implement colocation. Besides the results of financial calculations, this analysis is influenced by the results of intangible benefits where colocation services provide greater intangible benefits including customer segments, fewer resources, affordable investment prices, and accelerated potential additional income from tenants. In addition, the change in key variables needs to be controlled so that it does not decline in the future because it greatly affects the company's business to provide both investment services. Thus, this investment feasibility analysis is expected to provide a better understanding of the provision of telecommunications infrastructure. © 2022 IEEE.
ABSTRACT
Virus SARS-Cov-2 causing Covid-19 spreads quickly and brings high risks to transmissions. The government to rule strictly to arrange strategies to minimize interactions through School-From-Home (SFH) policy. Unfortunately, the school closure is the potential to hamper deliveries of education services and may entail destructive impacts to quality education performance. There must be a consideration to school reopen safely during the pandemic. The objective of the research is to produce a model of Covid-19 spreads to analyze the readiness of school to reopen. This study adopts a SEIR model to predict the spread of Covid-19 using dataset from 23 March through 31 December 2020. The best model is selected from the one having the least error and adopted to predict the spread in the next 100 days starting from 01 January 2021 through 10 April 2021. Clustering was then implemented to acquire the character's proximity in each area using K-Means algorithm. While unsupervised fuzzy was picked out to seize the phenomenon of the dynamic as Covid-19 spread as a basis to decision making on school reopen safely during the pandemic. These whole concepts will serve the decision making effectively and intelligently by generating a better estimation. This study resulted in a Covid-19 spread model with an average error of 0.2% based on the RMSLE calculation.
ABSTRACT
Social media creates digital communication channels to interact with customers and needed attention to the broadening understanding of marketing. This study aims to examine the social media marketing of ride-hailing during the covid-19 pandemic. This study analyzes all accessible articles from well-known publishers. The results are 13 dimensions that influence reuse intention namely loyalty, information quality, source credibility, reviews, trust, product usefulness, satisfaction, consumer behavior, subjective norm, service quality, cost, sentiment emotion, and organizational response. This study provides to electronic word of mouth development in ride-hailing marketing, the challenges being faced, the methods used, and the mapping model of dimensions. © 2021 The Authors. Published by Elsevier B.V.
ABSTRACT
The Covid-19 virus has grown like a fungus all over the world and has affected all aspects of life by the spread of this virus due to quarantine of this virus for continuing the path of knowledge Afghanistan and neighbourhood countries face to problems like the rest of the countries, this pandemic becomes one of the main factors for Afghanistan drive toward Virtual Learning. Virtual Learning has been accepted since 2014 as an effective learning tool in Afghanistan's Higher Education. For implementing virtual learning there are some challenges in Afghanistan, the discovered challenges are not only, not having access to the Electricity and Internet. Here in this paper aim is to identify the challenges and efforts of Virtual learning during Covid-19 pandemic in Higher Education of Afghanistan in Kabul Universities based on literature review. Literature review is a Systematic Literature Review of papers, Journals, and Articles. Based on Literature review the challenges could be divide in to three parts Technological, Individual and Organizational issues and the best effort has been done for applying the Virtual Learning in Kabul Universities is HELMS (Higher Education Learning Management System) which is a nationwide learning management system but there are several factors that affect its effectiveness the use of HELMS. © 2021 IEEE.