No abstract

Garut Regency is developing the UMKM cluster to support the Indonesian government's program to improve the UMKM industry. This study describes developing a cracker MSME cluster framework in Garut Regency. The qualitative method was carried out through an interview with the head of the cracker center community in Garut Regency. The data were then analyzed using a reduction technique which was then tested for validity through triangulation. The results showed that the infrastructure, the location of the cracker center, the lack of consumer convenience, the low capital financing, and the competitiveness of product marketing had a moderate level of competence, which indicated that the existing entrepreneurial competencies were quite good for their business. This research implies that it can be considered in developing the cracker UMKM cluster, making it the first cluster in Garut Regency.

Garut Regency is developing the UMKM cluster to support the Indonesian government's program to improve the UMKM industry. This study describes developing a cracker MSME cluster framework in Garut Regency. The qualitative method was carried out through an interview with the head of the cracker center community in Garut Regency. The data were then analyzed using a reduction technique which was then tested for validity through triangulation. The results showed that the infrastructure, the location of the cracker center, the lack of consumer convenience, the low capital financing, and the competitiveness of product marketing had a moderate level of competence, which indicated that the existing entrepreneurial competencies were quite good for their business. This research implies that it can be considered in developing the cracker UMKM cluster, making it the first cluster in Garut Regency.

Mount Guntur Tourism in Garut Regency offers several attractions that involve natural beauty around it. However, not all tourists coming to Garut are interested in visiting the mountain. The aim of the present study is to analyse whether there are different profiles of tourists who are interested and not interested in visiting Mount Guntur and investigates factors affecting the tourists’ interest in visiting the destination. To this end, the study applied a survey method through which the questionnaires were distributed to 100 participants, 50 of which were interested, and the other 50 were not. The data were then analysed by using discriminant analysis operated in SPSS 25 software. The results showed that the different profiles of respondents determined based on the interest to visit Mount Guntur could be proven statistically. The factors that make tourists interested or not interested in visiting Mount Guntur are transportation to tourist attractions; scenery; supporting facilities and artificial tourism spots. The results of this study may serve as additional information for tourism managers to improve the marketing strategy of Mount Guntur tourism

No abstract

<p>The city government of Bandung has made serious efforts in solving the urban problems creatively through the utilization of ICT, known as Smart City. One of the smart government programs being implemented is the online public aspirations and complaints service through an application system called LAPOR. So far, the application is considered effective enough to engage public participation, eventhough there are also many contradictory and negative comments shared by the users. Therefore, it is important to find out the actual description of public acceptances for the LAPOR system.</p><p><br />The affecting factors of interest and behavior in using the system were identified by the model of UTAUT 2 developed by Venkatesh et al. In 2012. The data in this study was collected using questionnaires distributed to 405 respondents of those who live in Bandung city, either the users of LAPOR application or those who have not used it yet. The results showed that the most influential factor of interest in using the LAPOR system is Price Value. This indicates that public wants the proportional benefits of the costs incurred for using the system.Other influential factors are Hedonic Motivation, Social Influence, Habit, and Facilitating Condition. Hence, these findings will enable practitioners to gain information in improving the successful implementation of technology-based governance programs.</p><p> </p><p>Keywords: Smart City, Smart Government, UTAUT 2</p>

No abstract