DETERMINATION OF GENUINE OWN INCOME, PROFIT-SHARING FUNDS, GENERAL ALLOCATION FUNDS, SPECIAL ALLOCATION FUNDS AND SILPA ON CAPITAL EXPENDITURES IN 5 CITIES IN ACEH PROVINCIAL GOVERNMENT IN 2012-2021

This study aims to determine the Determination of Regional Original Income, Profit Sharing Funds, General Allocation Funds, Special Allocation Funds and Silpa on Capital Expenditures in 5 Cities in the Provincial Government of Aceh in 2012-2021. The data used in this study are secondary data of 50 observations. . The method used to analyze the relationship between the independent variables and the dependent variable is panel data regression analysis. The results of the study show that local revenue has a positive effect on capital expenditure in 5 municipal governments in Aceh Province, revenue sharing has no effect on capital expenditure in 5 municipal governments in Aceh Province. General allocation funds have a negative effect on capital spending in 5 municipal governments in Aceh Province. Special allocation funds have a positive effect on capital spending in 5 municipal governments in Aceh Province. Silpa has no effect on capital expenditure in 5 municipal governments in Aceh Province.


INTRODUCTION
Regional governments have the authority to use their financial resources so that they can be managed effectively and efficiently. Therefore, the local government must determine in advance the planning of government activities for a certain period in the preparation of the annual budget (Putra, 2017;Ndede et al., 2017). Based on article 4 of Government Regulation (PP) No. 58/2005, the public sector budget contains an overview of activity plans in the form of income and spending plans in monetary units. The Regional Revenue and Expenditure Budget (APBD), is an annual regional government financial plan that is jointly prepared by the local government and DPRD and then stipulated by regional regulations, (Maulana and Fadhlia, 2020).
According to Government Regulation no. 71 of 2010, Capital Expenditures are defined as budget expenditures in achieving fixed assets and other assets that can have a positive impact on more than one accounting period. Capital expenditures include capital expenditures for the acquisition of land, buildings and structures, equipment and intangible assets.
The phenomenon in Aceh Province shows that the problem of capital expenditure has so far not received serious attention from the Aceh government. This is shown by the amount of capital expenditure budgeted for APBA in Aceh province which is still below the minimum limit set by the central government, which is 30% for capital expenditure (Ramlan, 2016).
The government should pay more attention to capital expenditure. The development of capital expenditure during the period 2018 to 2021 is shown in Figure below Based on the figure above, it shows that there are fluctuations in capital expenditure used in each district and city. It can even be seen that in the 2019-2021 period there tends to be a decline, this condition is closely related to the regional economic situation which has also declined due to the Covid 19 pandemic. The decline in the element of capital expenditure also depends on several main sources such as Revenue Sharing Funds (DBH), Funds General Allocation (DAU), and Special Allocation Fund (DAK).
Various sources of regional government capital expenditure can be seen from Regional Original Revenue (PAD), balancing funds, Remaining Budget Financing (SiLPA), loans and others (Mardiasmo, 2018). PAD is income sourced and collected by the Regions based on the applicable Regional Regulations. The purpose of PAD is to give authority to Regional Governments in regional autonomy funding that is adjusted to the potential of each region, (Sughiarti and Supadmi, 2014). The higher the PAD, the government spending on capital expenditure will also be higher. In line with PP No. 58 of 2005 concerning regional financial management which states that PAD is prepared according to the needs of government administration and the ability of regional revenues. Regional autonomy requires regional governments to be able to explore sources of local revenue and increase the independence of their regions. In Law no. 23 of 2014, Regional Original Revenue comes from: Regional Taxes, Regional Levies In the new APBD structure with a performance approach, the type of revenue that comes from regional taxes and regional levies is based on Law no. 28 of 2009 concerning changes to Law no. 23 of 2000 concerning Regional Taxes and Regional Levies, broken down into: a. Provincial Tax c. Retribution. These levies are broken down into: (i) public service levies, (ii) business services levies, (iii) certain licensing levies. Furthermore, the factor suspected of influencing capital expenditure is profit-sharing funds (Mardiasmo, 2018). Revenue Sharing Fund (DBH) is a fund originating from the APBN which is allocated to regions based on percentage figures to fund regional needs in the context of implementing decentralization. Revenue Sharing Funds (DBH) transferred by the central government to regional governments consist of 2 types, namely tax Revenue The General Allocation Fund is also a factor in determining capital expenditure. DAU is a fund originating from the APBN which is allocated for the purpose of inter-regional financial equity to finance expenditure needs in the context of implementing Decentralization. Financial balance funds are a consequence of the transfer of authority from the central government to regional governments (Wandira, 2013). The higher the General Allocation Fund (DAU), the higher government spending on capital expenditures, there is a link between transfer funds from the central government and capital expenditures.
Special Allocation Funds are funds originating from the APBN which are allocated to certain regions with the aim of helping fund special activities which are regional affairs and in accordance with national priorities. Utilization of DAK is directed at investment activities for development, procurement, upgrading and repair of physical facilities and infrastructure with a long economic life, including the procurement of supporting physical facilities and does not include capital participation.
SILPA also affects capital expenditure. SILPA is the excess difference between the realization of budget receipts and expenditures during one budget period. The remaining budget is funds that have not been used so that they remain at the end of the fiscal year which is called SILPA and will become SILPA (Remaining Over Budget Calculations) in the following fiscal year (Abdullah, 2013). From the financing sector, SILPA is a reliable source of revenue to finance expenditures within the APBD structure (Kusnandar and Siswantoro, 2012).
Aceh province consists of 18 regencies and 5 cities, with different levels of capital expenditure according to the needs of each region. Various sources of regional government capital expenditure can be seen from Regional Original Revenue (PAD), balancing funds, Remaining Budget Financing (SiLPA), loans and others. With the allocation of PAD into the capital expenditure budget, it is hoped that regional governments will be able to develop their regions for the better by exploring their local revenue potential.

RESEARCH METHODS Research sites
This research was conducted at City governments in Aceh Province. The data used by researchers is APBD Realization Report data from 2012-2021, which is sourced from the website of the Republic of Indonesia's Financial Audit Agency, namelywww.bpk.go.idorwww.djpk.kemenkeu.go.id. The research objects used are regional original income, profit sharing funds, general allocation funds, special allocation funds, silpa and capital expenditures.

Population and Sample
The population is a generalization area consisting of objects or subjects that have certain qualities and characteristics that are applied by researchers to be studied, then conclusions are drawn (Sugiyono, 2018). The population in this study are all cities in the Aceh provincial government consisting of Sabang City, Banda Aceh City, Lhokseumawe City, Langsa City, Subulussalam City during the period 2012 to 2021.

Data analysis Method
Data analysis is the activity of processing the data that has been collected then can provide an interpretation of these results. The data analysis method used in this study is panel data analysis with the help of the E-views program. According to Winarno (2015) panel data is a combination of time series data (time series) and cross data (cross section). Time series data is data consisting of one or more variables that will be observed in one unit of observation in a certain period of time. Meanwhile, the cross section is observational data from several observation units at one point in time.The equation model for panel data regression analysis is as follows:

Journal of Management Research, Utility Finance and Digital Assets hypothesis
The research hypothesis is a temporary answer to a temporary problem because it still has to be proven true. Until proven through the data collected and must be tested empirically. Based on the conceptual framework above, the research hypothesis is as follows: H₁ : Regional Own Revenueeffect on capital spending in 5 cities in Aceh Province H2 : Profit Sharing Fundeffect on capital spending in 5 cities in Aceh Province H3 : General Allocation Fundeffect on capital spending in 5 cities in Aceh Province H4 : Special Allocation Fundeffect on capital spending in 5 cities in Aceh Province H5 : SILPA effect on capital spending in 5 cities in Aceh Province Based on the results of the data normality test in the image above, it can be seen that the Jarque Bera value is 1.411 with a probability value of 0.493. The Chi Square table value in this study by calculating df = 5 at a significance level of 5% produces a figure of 11.07. Therefore, the Jarque Bera value is smaller than the Chi Square table value and the probability value is above 0.05 so it can be concluded that the data in this study are normally distributed. The results of the multicollinearity test can be seen based on the correlation test. The table above shows that this model is free from multicollinearity problems where the correlation is below 0.8. Based on the research results, it can be concluded that there is no error between variables in the study.

Heteroscedasticity Test
Heteroscedasticity aims to test whether in the regression model there is an inequality of variance from residuals or observations to other observations. Heteroscedasticity test can be done with the white test. However, in this study, because it is based on the selected panel data model, namely the fixed effect model, there is no need to use heteroscedasticity.

Autocorrelation Test
Autocorrelation is the correlation between members of a series of observations ordered by time series. According to (Gujarati 2012), the most popular test for detecting autocorrelation is the Durbin-Watson statistical test. Based on the output of Eviews, it shows that the Durbin Watson value is 1.434, because the dw value is between -2 to +2, so in this study it is concluded that there are no interfering errors between time series. 2. The value of the regression coefficient for local original income is 8.18 indicating a positive relationship which means that every 1% increase in regional original income causes capital expenditure to increase by 8.18%.

Redundant Fixed Effects Tests
3. The value of the regression coefficient of revenue sharing is 3.64 indicating a positive relationship which means that every 1% increase in revenue sharing funds causes capital expenditure to increase by 3.64%.
4. The regression coefficient value of general allocation funds is -2.93 indicating a negative relationship (not unidirectional), which means that every 1% increase in general allocation funds causes capital expenditure to decrease by 2.93%.
5. The value of the special allocation fund regression coefficient of 1.99 shows a positive relationship which means that every 1% increase in special allocation funds causes capital expenditure to increase by 1.99%.
6. The silpa regression coefficient value of 0.49 shows a positive relationship which means that every 1% increase in silpa causes capital expenditure to increase by 0.49%.

Discussion The Effect of Regional Original Income on Capital Expenditures
The research results show thatlocally-generated revenuehas a positive effect on capital expenditure in 5 city governments in Aceh Province where the t count > t table is 8.289 > 1.680 and a significant value is 0.00 <0.05. The results of the study are in line with the results of research by Rahmawati and Suryono (2015) which state that PAD has a significant and positive effect on regional spending. This means that local governments that have an increase in the amount of PAD, there is also an increase in the amount of spending spent. The results of the study also support the results of Kusnandar and Siswantoro's (2012) research, that local revenue has a positive and significant effect on spending.

Effect of Profit Sharing Funds on Capital Expenditures
The results of the study show that profit-sharing funds have no effect on capital expenditure in 5 municipal governments in Aceh Province. Where is the value of t count < t table, namely 1.496 > 1.680 and a significant value of 0.142 > 0.05. DBH is used as an instrument to reduce vertical fiscal inequality, which aims to balance, equal distribution of income and levels of public services between regions with varying economic capacities (Soemarsono, 2018). Wandira (2013) states that there is a positive and significant influence between DBH variables on Capital Expenditures. The higher the Revenue Sharing Fund (DBH) obtained, the allocation of capital expenditure will also increase.

The Effect of General Allocation Funds on Capital Expenditures
The results of the study show that general allocation funds have a negative effect on capital expenditures in 5 municipal governments in Aceh Province. where the t count > t table is 5.330 > 1.680 and a significant value is 0.00 <0.05. The General Allocation Fund (DAU) is a fund originating from APBN revenues allocated for the purpose of equal distribution of inter-regional financial capacity to fund regional needs in the context of implementing decentralization. Based on Law Number 33 of 2004 concerning Financial Balance between the Central Government and Regional Governments, the total amount of DAU is at least 26% of net domestic revenues stipulated in the APBN. The use of DAU is left to the regions in accordance with regional priorities and needs for improving services to the community in the context of implementing regional autonomy. The research results are in

The Effect of Special Allocation Funds on Capital Expenditures
The results of the research show that special allocation fundshas a positive effect on capital expenditure in 5 city governments in Aceh Province where the t count > t table is 3.078 > 1.680 and a significant value is 0.00 <0.05. DAK is allocated in the APBN for certain regions in the framework of decentralization funding to finance special activities determined by the Central Government on the basis of national priorities and to finance special activities proposed by certain regions (UU Number 33 of 2004 concerning Financial Balance between the Central Government and Regional Governments).
Financial balance funds are a consequence of the transfer of authority from the central government to regional governments (Wandira, 2013). The higher the General Allocation Fund (DAU), the higher government spending on capital expenditures, there is a link between transfer funds from the central government and capital expenditures.

The Effect of SILPA on Capital Expenditures
The results of the study show that silpa has no effect on capital expenditure in 5 municipal governments in Aceh Province. Where the t count > t table is 0.547 > 1.680 and a significant value is 0.58 > 0.05. Ardhani (2011) states that the difference between income on the one hand and spending and transfers on the other hand is a surplus or deficit. A surplus occurs when income is greater than spending and transfers, while a deficit occurs when income is smaller than spending and transfers. Abdullah (2013) revealed that the previous year's SILPA was part of the current year's APBD financing revenue which made a positive contribution to regional expenditure allocations.

CONCLUSIONS AND SUGGESTIONS
The results of the study indicate that the regression model can be further explained as follows:

Journal of Management Research, Utility Finance and Digital Assets
Journal of Management Research, Utility Finance and Digital Assets