Decision Support System for Determination of Village Fund Allocation Using AHP Method

−This study aims to describe the management of the allocation of village funds in physical development in the village of Siborna, Panei Subdistrict, Simalungun Regency and to identify inhibiting factors and supporting factors in managing village fund allocation. The focus of this research is the management of village fund allocations which include: planning, implementation. The determination of the allocation of village funds will later use the Analytical Hierarchy Process (AHP) method with 4 criteria including: villagers, rural poor, village area and Village Geographical Difficulty Index. Alternative Samples in this study were 4 villages, including the villages of Sosor Hamlet, Simpang Bahbirong Hamlet, Hutabagasan Hamlet and Kebun Sayur Hamlet. The results of this study using the AHP method obtained by the Village of Vegetable Farm Village is an alternative with the highest value that is eligible to get a village fund allocation from the government with a value of 3,0000.


INTRODUCTION
The new paradigm in terms of development today, prefers Village Government with autonomy as a logical consequence of the existence of authority and an important role of the village is the availability of sufficient funds. One source of revenue stipulated in Law number 32 of 2004 concerning regional government is part of the central and regional financial balance funds received by the Regency / city which is the Village Fund Allocation.
Progress can be seen from three aspects, namely the level of income, growth, and income development, and income distribution. The three aspects of income in the economy and its activities are regulated and implemented in a planned manner so that it runs in a balanced manner which ultimately results in steady and dynamic economic stability. The policy that has been implemented is the removal of development resources related to poverty reduction. Therefore this research will discuss about determining the allocation of village funds with a case study taken at Nagori Siborna, Panei District, Simalungun Regency. This is done to assist village officials in making decisions, therefore to avoid mistakes in determining the allocation of village funds, we need a system that can help determine the allocation of village funds effectively and efficiently. There are many branches in the field of computer science that are able to solve complex problems, this is evident from the many studies that have been done, such as research in the field of data mining [1]- [8], the field of artificial neural networks [9]- [21], as well as the field of decision support systems [22]- [29]. Based on this explanation, researchers used a decision support system to resolve the above problem. In this case, the researcher uses the Analytical Hierarchy Process (AHP) method, because this method can be used for very complex decision making problems, in which there are criteria and sub-criteria levels.
Many previous studies discuss the AHP method, including research for selecting suppliers using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry. This article has illustrated a case study for the supplier of headlight selection in a leading car company in India. Eight criteria were investigated in the context of the supplier selection problem. In addition, this study highlights two valuable contributions: (a) the comprehensive structure of this paper is to overcome the problem of supplier selection, in this context a hybrid AHP-TOPSIS methodology has been used to determine the relative importance of factor supplier selection through the Saaty scale. (b) Thus, there are limited studies of the hybrid MCDM (AHP-TOPSIS) method for investigating supplier selection problems [30]. Other studies discuss the D-AHP method with different information credibility. In this paper, the problem of MCDM has been studied using the D-AHP method in which the credibility of providing information is analyzed numerically. The results show that information credibility has little impact on alternative rankings, and the weight of alternative priorities has been influenced to a relatively clear level. In future research, criteria for measuring the credibility of information will be studied [31]. Next research that discusses the scheduling of time-sensitive leases in the cloud computing environment using AHP [32], and research that discusses risk evaluation using a new hybrid method based on the FMEA method, extended MULTIMOORA, and AHP in a fuzzy environment [33]. Based on this background, the research was conducted. It is expected that using this AHP method, results will be obtained in the form of recommendations for determining Village Fund Allocation effectively and efficiently.

RESEARCH METHODS
In determining the selection of a good allocation of village funds requires the right tools, which use computers as a means that can help human resources to get a lot of information precisely and accurately with a method and systematic calculation that is the AHP method, this method can provide alternative choices . Basically AHP is a method for solving a complex problem and not structured into groups, organizing groups into a hierarchy.

Method of collecting data
Data collection methods used in general to solve problems in this study are: a. Library Research is to use library as a means of collecting data, by studying books as reference material relating to cases raised by researchers. b. Field Work Research is research conducted directly in the field using several techniques such as: 1. Observation: The method of collecting data by making direct observations of various existing activities. This is done by the writer direct observation in the research location to find the data needed in this study such as taking alternative samples and assessment criteria to be tested. 2. Documentation: Data collection is carried out to obtain secondary data from documents or archives relevant to this research. This is done by the writer making an alternative sample assessment document against the criteria previously discussed during the interview session.

Flowchart System
This section shows the workflow or what is being done in the system as a whole and explains the sequence of procedures contained in the system. This flowchart includes a graphical representation of the sequence of procedures that form a system. System flowcharts consist of data flowing through the system and the processes that transform the data.

RESULT AND DISCUSSION
The calculation steps using the AHP method are as follows: 1. Determine the types of criteria to be considered in the village selection decision support system, the village establishes the criteria used as a reference in decision making namely the villagers, the rural poor, the area of the village, the Geographic Difficulty Index. Then the three criteria are compared one by one, which in AHP terms is called pair-wise comparation. a. Villagers are more important 1 time than poor villagers b. The rural poor are 3 times more important than the village area c. The area of the village is 5 times more important than the Geographic Difficulty Index d. The Geographical Difficulty Index is twice as important as the villagers 2. Arrange a hierarchy which starts with the objectives and then the criteria at the lower levels. The order of the hierarchy can be seen in the figure below:  3. After compiling the hierarchy above the next step is to calculate the consistency of comparison of each criterion based on the level of need or level of importance between one criterion with the other criteria using the AHP method. The matrix diagonal value for comparison of elements with the element itself is filled with the value (1) while the contents of the comparison value between 1 and 9 are the opposite. Comparison between one criterion with another can be seen in the comparison matrix below:

IMPLEMENTATION
The following is an overview of the implementation of the Village Fund Allocation Decision Support System in Nagori Siborna Using the AHP Method as follows: 1. Login Form Login Form is given for user convenience for system security that has been designed.

Village Form
Village data input is the main data needed by the system. The data will be declared as valuation alternatives.

Criteria Form
Input data values This input criteria serves to provide a preference value for the level of satisfaction of the criteria assessed according to the AHP method.

Figure 7. Criteria Form 5. Scoring Form
In this decision assessment process form, where data for each alternative entered is calculated using the AHP process so as to produce the total value processed and the level of satisfaction.

Calculation Form
This calculation form serves to display the results of each village and is processed into the application using the AHP method. To display the calculation form can be seen in the following figure: . Figure 10. Result Report Form 8. Final Report The final report is to see the final results of all calculations using the AHP method. Based on the results of the calculation, it was concluded that the best alternative that received the allocation of village funds was D-4, Kebun Sayur Hamlet.