ABSTRACT
Small Medium Enterprise (SMEs) are a type of business that has an important role increase in Gross Domestic Income (GDP) as well as backbone of economy in Indonesia. The decline in turnover, aspects of production, trade and labor are impact of Covid-19 pandemic. The method used integration of Balanced Score Card (BSC), FANP and FTOPSIS. BSC used determine measurement of SMEs indicators, FANP used determine weight of each indicator and FTOPSIS for ranking and mapping SMEs. The purpose research is to mapping of SMEs Batik with integration fuzzy ANP dan TOPSIS methods. The contribution of research is use BSC indicator, namely use of market places, and online product marketing, implementation of health protocols and Covid-19. Based on smallest Consistency Ratio (CR), the mapping results show that 52% of batik SMEs enter repair industry level, 23% of SMEs are at developing industry level, and 15% at advanced industrial level. Research contributes to cooperatives and SMEs players in recommending improvements to performance of SMEs based on Fuzzy with relevant indicators during Covid-19 pandemic. © 2022 IEEE.
ABSTRACT
The Covid-19 pandemic has caused the domestic and global economic sectors to experience turmoil. The impact of the pandemic has been most pronounced in the Small Medium Enterprise (SMEs) sector. Most SMEs experienced a decline in sales turnover, difficulties in obtaining financing/credit, problems in the distribution of goods, and difficulties in obtaining raw materials. The purpose of this research is to determine the selection of Decision Support System (DSS) SMEs Batik Madura Indonesian, in the face of the Covid-19 pandemic based on influential indicators. The method used is interval value fuzzy type-2 Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) based on Group Decision Support System (GDSS). The method for processing expert data is interval value fuzzy type-2 Geometric Mean Aggregation (GMA). The research findings are the most influential indicator weights in the selection are a variety of batik motifs and online market places. The contribution of the research is to develop the fuzzy interval type-2 method to support SMEs selection decisions by modifying the midpoint on triangular Fuzzy Number interval based on GRUP (GDSS). Based on expert data, the comparison of accuracy between fuzzy type-2 with one point, and two points, the highest accuracy result is using fuzzy type-2 with two points. © 2021 IEEE.
ABSTRACT
The Covid-19 pandemic has had an impact on domestic economy, such as a decrease in people’s consumption and purchasing power, a decline in company performance, as well as SMEs. This situation, SMEs sector controls 99.99% of all existing businesses, employs 97.16% of private sector workforce, and contributes 57.5% to Indonesia’s gross product. Various government program efforts in helping Batik SMEs players face Covid-19 pandemic so that they are right on target. The large number of SMEs in Bangkalan is around 166,768, causing department to find it difficult to determine recommendations for improvement for each MSME. Based on these problems, a cooperative model for the SMEs industry is needed so that official work program runs smoothly on target. The method used is FAHP and TOPSIS integration method, FAHP method is used to determine weighting and TOPSIS method is used for ranking and recommendations for improvement. The advantage of FAHP is consistency index to control error rate of decision. TOPSIS method is capable of making multi-criteria decisions based on alternative SMEs industry mapping process. The purpose is make a recommendation model for improvement using hybrid method of FAHP and TOPSIS with balanced scorecard indicators for learning and growth perspective. The research contribution is to make decisions based on group recommendations and consistency ratio (CR) is less than 0.1. The findings research, that the influential indicators are batik business ownership and variations of batik motifs. The recommendations for improvement, the average MSME still does not have branding.
ABSTRACT
COVID-19 pandemic is the massive COVID-19 virus spread around the world. Indonesia’s government official website of COVID-19 at covid19.go.id shows there are 205 countries, 900,306 positive cases, and 45,693 people around the world who died because of COVID-19. Additionally, there are 1986 people confirmed positive COVID-19, 134 people get well, and 181 people died in Indonesia. This data is taken from the website when this article is written. The data seems very dynamic in the next periods. Therefore, this pandemic is an extraordinary phenomenon and has an impact globally. When this paper is written, the epidemic is still happening. Different countries have various strategies and actions against this COVID-19. There is limited research to capture e-Participation related to COVID-19. This paper aims to describe the role of technology against COVID-19 in Indonesia. Hopefully, this paper contributes a lesson learned of kawalcovid19.id in Indonesia case, and this could be employed for similar cases in other countries. This study has identified four main components in a model of e-Participation against COVID-19 as follows: team, technologies, COVID-19, and people. The e-Participation technologies are tools for participants to supply and verify information, educate people, and people to interact, give comments and feedback to each other.