This study aims to determine the Village Fund Management in Togomangura Village. To achieve these objectives, qualitative research methods are used to decipher data descriptively. Data collection techniques are done by observation, interviews, and documents and archives using qualitative descriptive analysis techniques. The results showed: 1). For the stages of village financial planning in Togomangura Village, the Togomangura village government has managed the village fund finances in accordance with Permendagri Number 113 of 2014 concerning Village Fund Financial Management. 2). For the Village Fund budgeting phase in Togomangura Village, it has been carried out in accordance with existing principles, namely by budgeting village funds in accordance with the RKP of the Village that was determined at the planning stage and in accordance with Permendagri Number 113 of 2014 concerning Village Financial Management. 3). The implementation of Village Fund Financial Management in Togomangura Village has been very good and in accordance with applicable regulations namely Permendagri No. 113 of 2014 concerning the implementation of village finances and the PDTT Permendes Number 19 of 2017 concerning Priorities for the Use of Village Funds in 2018. 4). The administration of the Village Fund Financial Management Program in Togomangura Village is already good, because it is in accordance with applicable regulations namely Permendagri No. 113 of 2014 concerning the implementation of village finance. 5). Village Fund Financial Reporting in Togomangura Village is not in accordance with Permendagri No. 113 of 2014 concerning village financial management. This is evidenced by the late TPK Field and Village Treasurers in submitting reports. 6). Monitoring of Village Funds by the BPD, it can be concluded that the BPD in carrying out its functions runs well but is less than optimal. This is because there are several factors that create obstacles, namely Human Resources (HR) so that the awareness of BPD members is less than optimal in carrying out their duties and functions. 7). The use of Village Funds in Togomangura Village in 2018 is not in accordance with the priority of use according to the PDTT Regulation No. 19 of 2017 concerning the priority of using Village Funds in 2018. 8). Inhibiting factors in the management of the Village Fund in Togomangura Village, namely: Human Resources, Late Reporting, Internet Networks, Community Understanding, Poor Coordination.

The purpose of this research is to find out if the are income differences, profit and number of buyers in traditional retail before and after the presence of modern retail. This research conducted in ranomeeto village in September 2019. This research quantitave approach with statistical analysis of paired sample t-test. The populations of this research were 34 traditional retail traders in ranomeeto village. Those sample were taken with saturation sampling. The data collection technique of this research used questionnaire and interview. Data analysis method of this research covering normality test then statistical analysis of paired sample t- test. Based on the result of paired sample t-test there is no significant difference toward income variable, profit and number of buyers before and after the presence of modern retail like indomaret.

The purpose of this study is to determine whether online sales have a significant effect on people's interest in buying Syar'i hijab clothing products at the “Emmy Hijabku” Clothing Store Kendari.The problem in this study is whether online sales have a significant effect on people's interest in buying Syar'i hijab fashion products at “Emmy Hijabku” Clothing StoreBy using a simple linear regression equation with the formulation Y = a +bX the results of the data analysisobtained Y = 8,071 + 0.640X. From the results of the study found that online syar'i hijab sales variables significantly influence the buying interest of the people in Kendari.It simply can be seen from a significant online sales label of 0.001, which means smaller than the significant level used is 0.05 and can be seen also from t-count with a value of 3,656 which means t-count is greater than t-table which is 0.681.