One of the districts that have the potential to develop goats and sheep in North Sumatra is Batu Bara Regency. For this reason, a study was conducted to determine the potential of livestock resources, the area and capacity of goats and sheep, and alternative strategies that are effective in developing goats and sheep in Batu Bara Regency. This research was conducted in September – November 2021 using the stratified sampling research method in the sub-districts in Batu Bara Regency and the purposive sampling method, which resulted in the highest population sub-district, namely Laut Tador District, the medium population in Air Putih District, and the low population being Sei Suka District. . Sampling using the method of determining the quota of 30 respondents in each sub-district. The respondents were interviewed to obtain information regarding goat and sheep livestock. Data analysis carried out is descriptive analysis, location quotient, livestock density, feed concentration index, carrying capacity of agricultural and plantation waste, carrying capacity index of agricultural and plantation waste, capacity to increase the population of ruminant livestock (KPPTR), and SWOT analysis. Based on the research results, Batu Bara Regency has the potential to develop goats and sheep. Five areas each become the basis for goats and sheep in the district. The carrying capacity of goats and sheep in Batu Bara Regency is 168,040.04 ST for goats and 166,236.56 ST for sheep. The right strategy and priority is the SO strategy.
The rapid growth in the service sector in this globalization era has caused intense competition in the service sector. Hotel is a company engaged in services which is currently experiencing quite rapid growth. The problem that arises in this study is the instability of the number of Holiday Hotel visitors in recent years. This study aims to determine the effect of price, promotion, location, and servicescape on customer satisfaction on Holiday Hotels. The study population was all Holiday Hotel consumers with a total sample of 150 respondents. The analysis technique used is to use multiple linear regression analysis method using the t test and F test for hypothesis testing. The results of the study stated that the variable price, promotion, and servicescape had a significant positive effect on customer satisfaction, in contrast to location variables that did not significantly influence customer satisfaction.
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