ABSTRACT
The COVID-19 pandemic has had an impact on MSMEs, especially in the food and beverage sector, creative industries and agriculture, both in terms of sales, financing, distribution of goods and the difficulty of raw materials. In 2019, the Creative Economy Agency established Denpasar City (the capital city of Bali Province) as one of ten Creative Regencies/Cities in Indonesia with the leading sub-sector of fashion. The development of the leading fashion sub-sector in Denpasar City is certainly inseparable from the role of MSMEs in the fashion sector, where MSME fashion in Denpasar City is the largest compared to other sectors. The purpose of this study was to analyze the mitigation strategy of fashion SMEs affected by the COVID-19 pandemic. This research is exploratory research, where data is collected through FGD instruments. Furthermore, the collected data is analyzed using prospective analysis techniques with MULTIPOL tools that can help develop a policy path based on scenarios, policies, criteria, and actions. The scenario of fashion SMEs in Bali is divided into ethnic fashion SMEs and non-ethnic fashion SMEs. In ethnic fashion SMEs, the superior policy is the policy of strengthening capital, followed by establishing partnerships. use of digital technology, and finally market orientation outside Bali. Meanwhile, for non-ethnic fashion SMEs, what is superior is the policy of establishing partnerships, followed by market orientation policies outside Bali, the use of digital technology and strengthening capital. Online marketing action excels in all policies, followed by product development and forward and backward integration.
ABSTRACT
The Covid-19 pandemic has had a domino effect on various sectors, both macro and micro. Traditional fishermen in Kedonganan Village (which is a coastal area and a well-known tourist destination in Bali) have also experienced a decline in tourism activities, especially related to limited funding. The purpose of this research is to improve the welfare of fishery entrepreneurs in Kedonganan Village after Covid-19 through an inclusive financing model in the perspective of the Village Credit Institution. This type of research is qualitative research by analyzing data with existing theories to dissect research problems. The data analysis technique used in this research is qualitative data analysis. Based on the results of data analysis, it can be concluded that traditional fishermen in Kedonganan Village feel helped by financial assistance (capital) for individuals, but cannot be given to fishing groups because they do not have formal legal elements. The beneficiary fishermen also stated their readiness to increase their business, one of which was through increasing working time, so that credit installments could be paid. In addition, the assistance of fishing gear facilities and infrastructure (including software applications) as well as institutional empowerment has been able to improve the welfare of fishery entrepreneurs.
ABSTRACT
This research is motivated by the occurrence of inefficiency of the transportation system in the urban area of Sarbagita (Denpasar, Badung, Gianyar, Tabanan) caused by the use of private motorized vehicles. As a limited number of public goods, the efficiency of road space is measured not by the number of vehicles but by the number of people who use the road space. Therefore, the operation of a Mass Public Transportation System (SAUM) which has a large transport capacity optimally is the key to the efficiency of the transportation system in urban areas. This study aims to analyze the variables that affect the optimization of the Mass Public Transport System (SAUM) based on demand and service supply. This research was conducted using quantitative methods. The research location is in the urban area of Sarbagita, an agglomeration area in Bali. The research was conducted in October 2021, during the Covid-19 pandemic. The total population in this study was 14,140 with a sample of 397 passengers on 4 (four) Trans Metro Dewata service routes. Sampling using proportional stratified random sampling. The data used is in the form of a scale of differences in the meaning of attitudes towards an object which is sorted from the number (1) not important;(2) less important;(3) quite important;(4) important;(5) is very important. This research uses multivariate analysis technique with partial least square (PLS) method. The variables used in this research are Service Demand and Service Supply as exogenous variables, Service Certainty and Service Integration variables as intermediate variables and Service Optimization variables as endogenous variables. The results show that the service demand variable has no significant effect on the optimization of SAUM, while the supply, certainty and service integration variables have a positive and significant effect on the optimization of SAUM. The request has no significant effect on the integration of SAUM services. On the other hand, service supply and certainty have a positive and significant impact on the integration of SAUM services. This study also finds that the optimization of SAUM services is most influenced by service integration with a coefficient of 0.403, followed by service offerings with a coefficient of 0.374. Indirectly, the supply and demand variables have a positive and significant effect both on the variable between service integration through service certainty and on the endogenous variable of SAUM optimization through service assurance and service integration variables. The novelty of this research is that the service demand variable which has been used as a direct variable in the provision of transportation services does not have a significant effect on the optimization of SAUM. This research answers the phenomenon of the low loading rate of Trans Metro Dewata services, even though the service is free. This study suggests to the government as an institution providing public services that in an effort to realize the efficiency of the transportation system in urban areas, it is necessary to optimize SAUM services. The SAUM optimization efforts are not only based on demand and service supply but also involve variables between service certainty which include indicators of accessibility, service level and service availability and service integration variables which include indicators of physical integration, network integration and tariff integration. The results of this study are expected to enrich the theoretical repertoire in the field of transportation economics and transportation management science which is currently developing.
ABSTRACT
Tourism is a leading sector that makes an important contribution to regional economic growth in the Province of Bali. During the global COVID-19 pandemic, Bali tourism experienced a very drastic decline. The COVID-19 pandemic has an impact on all industries, including the tourism industry. This study aims to formulate a recovery strategy for the tourism industry in Bali Province in the short, medium and long term, in the New Normal Era. The type of data that will be used is perception data and existing data so that the analytical method used in this study is a quantitative approach in the form of descriptive qualitative and SWOT. Based on the results of data analysis, it can be concluded that each penta-helix element plays an important role in efforts to recover Bali tourism in the new normal era according to its authority and capability. Strategies/policies that are considered as short-term priorities are the provision of subsidized interest and credit restructuring. Meanwhile, what is considered a priority for the medium term is the organization of international events as well as training and internship cooperation for tourism human resources and the creative economy. The penta-helix element generally considers strengthening access and strengthening attractions as long-term priorities. © 2022 Editura Universitatii din Oradea. All rights reserved.