RASKIN RECIPIENT ELIGIBILITY DECISION SUPPORT SYSTEM USING THE AHP METHOD

: Some people in Sei Silau Timur Village in Buntu Pane, Kisaran, have low incomes with the existence of a government policy in the food management program that cooperates with Bulog to ease the burden on the community by distributing Raskin to villages where people have low incomes. And not all people get the chance to receive RASKIN because the quota is limited. There needs to be a selection in determining the eligibility of RASKIN for the right people and avoiding mistakes. The selection process can be completed using the application of computer science. Based on this, a decision support system is needed that can be used by the Sei Silau Timur village head's office staff in distributing RASKIN rice, which later this application can help and benefit the village community. This research uses the AHP method, which is carried out by comparing a matrix of several criteria and alternatives. The final assessment result is implementing the AHP method, where criterion 4, namely Total Income, is selected, with Alternative 1 named Selamet.


INTRODUCTION
Currently, countries are experiencing a financial crisis, both developed and developing countries.The impact of the crisis will be that many people will experience job loss.As a result of the prolonged economic crisis, the ability of the Indonesian population to meet various basic needs such as food, clothing, and housing is increasingly difficult.The overall impact of this condition is a decline in the level of welfare in specific sectors of life in Indonesian society.One way to overcome this crisis is the government's Special Market Operations program, which provides monthly rice assistance to needy people throughout Indonesia.The Special Market Operation Program distributes medium-quality rice to underprivileged families (KPS) or lowincome families in every village throughout Indonesia.The RASKIN program is a national program that aims to help meet food sufficiency and reduce the financial burden on poor households (RTM) through the provision of subsidized rice [1]- [3].Just like the East Sei Silau Village Head's Office carried out the government's mandate to provide rice to low-income families (RASKIN).The method used in the East Sei Silau village head's office in making decisions on rice recipients for low-income fami lies (Raskin) still uses manual methods, and the database used is still in paper form, so it takes a long time to process, and the biggest obstacle is the difficulty in determining who the residents are.Who has the right to receive Raskin and other issues such as storage or searching for archives that have been stored.
In general, the problems that occur in providing poor rice assistance are still not optimal because when selecting poor rice recipients, there is no supporting system, so during the selection process, only estimates are used, and there are no calculations when selecting poor rice recipients.So, a small or large number of people sometimes protest because people are supposed to get help, but they don't get that help, and vice versa.For this reason, a decision support system is needed [4].The method used to determine aid distribution to low-income families in each village is still manual.So, processing, storing, and searching data archives takes a long time.The Analytic Hierarchy Process (AHP) method was selected in making this decision support system.Application of appropriate metho ds to support the creation of this decision support system.Apart from that, AHP is suitable if applied in the decision analysis with substantive complexity.This is because the modeled properties can be done comprehensively, structuredly, and logically [5]- [8].Decision-making to determine the criteria for rice recipients that has occurred usually refers to something other than the criteria for low-income families.Determining the criteria for low-income families requires a sound information system to prevent mistakes made by the management committee.This decision support system is designed to help assess each low-income family, change criteria, and change weight values.This is useful for making it easier for decision-makers regarding the problem of selecting recipients of rice for low-income families (RASKIN) so that families will be found who are most worthy of receiving RASKIN.Therefore, in this research, the decision support system for low-income families (RASKIN) will use several criteria expected to be by the criteria for lowincome families.
A sound decision support system is essential as a tool to aid decision-making.Improving the quality of decisions is fur-ther supported if a computer-based decision system supports it.The creation of a decision support system for selecting rice recipients for low-income families (RASKIN) is intended to provide support to decision-makers based on needs precisely, quickly, and accurately.DSS are built to support solutions to problems or opportunities and are used to make decisions [9][10]

Research stages
The research stages were carried out in the following way[11]: The First way : Document Data Collection Data was collected among the people of East Sei Silau Village in Buntu Pane, Kisaran, using an assessment matrix form in collecting data (documents).Data collection was carried out by observation, interviews, and literature study [12].This research uses a questionnaire or questio nnaire that serves as instrumentation to obtain data in determining families worthy of family status as Beneficiary Families in the area[13] Sei Silau Timur Village in Buntu Pane, Kisaran.

Second way : Analyzing Data
Analyze and design the system to be used with several of specified criteria.

Third way : Testing the System
Testing the system using the Excel matrix application, system testing is carried out using the AHP method calculations which are carried out using existing calculations in the system.

AHP Procedure
The procedure in the AHP method includes several steps as follows [9]: (1) Definition of the problem and determining the desired solution, then compiling a hierarchy of the problems faced.Hierarchizing is the human ability to perceive objects and ideas, identify them, and communicate what they observe.To obtain detailed knowledge, our minds organize complex reality into parts that are its main elem ents, and then these parts are divided into further parts, and so on in hierarchical stages (2) where CR = Consistency Ratio, RI = Random Index CI = Consistency Index, (7) Hierarchy Consistency Check, The judgment data assessment must be corrected if the value is more than 10%.However, if the consistency ratio (CI/IR) is less than or equal to 0.1 (CR < 0.1), then the calculation results can be declared correct.
CR < 0,1 (3) Decision support systems can handle semistructured and unstructured situations), a problem can be described as structured or unstructured only by considering the decision maker or a specific problem.In Table 4, Ranking and Priority Results, the criterion that received rank 1 is Total Income (Cr4).The selection of Raskin recipients with the names of 5 people from East Sei Silau Village in Buntu Pane, Kisaran as alternative RASKIN recipients, namely: Selamet (Alt1), Basri (Alt2), Nasib (Alt3), Suriono (Alt4) and Solihin (Alt5).The maximum eigenvalue results are in Table 10, with the sum in Table 7 multiplied by the priority column in Table 9  The results of the CR value, CR = 0.081616338/1.12= 0.07287173, CR < 0.1, are declared correct (consistent).In the final assessment of the test results, it turned out that the selection of RASKIN recipients based on the Total Income (Cr4) criteria Selamet (Alt1) was selected based on these criteria.

CONCLUSION
Using the AHP method can provide an assessment of several criteria with several choices in selecting RASKIN recipients in East Sei Silau Village in Buntu Pane, Kisaran.The selected final assessment result is an implementation of the AHP method, where the selected criteria are the amount of income, with the alternative being Selamet.Priority results whose values coincide with alternatives need to be reassessed to obtain the required ranking priority results based on comparing the criteria.To get better results, adding a number of appropriate and necessary criteria is necessary.

( 6 )
[10], [14]-[19]., (2) Determination of element priorities, The first step in determining element priority is to create a pair comparison matrix[20].The pairwise comparison matrix is filled in using numbers to represent the relative importance of one element to other elements., (3) Syntesis, Considerations from pairwise comparisons are synthesized to obtain overall priorities., (4) Consistensy Measurement, Knowing how good consistency is in making decisions is essential because we want decisions based on something other than considerations with high consistency.(5) The things done in this step are Calculating Consistency Index (CI) with the formula:(1) where n = number of elements λmaks = maximum eigenvalue of the pairwise comparisons Calculating the Consistency Ratio (CR) with the formula :

Image 2 .
Hierarchy Structure in the AHP Method RESULT AND DISCUSSION The data collection results in the field using a filling form to assess the people of East Sei Silau Village in Buntu Pane, Kisaran.The criteria data used are five criteria; the criteria chosen in this study are Number of Dependents (Cr1), House Condition (Cr2), Owner Status (C3), Total Income (Cr4), and Welfare Status (Cr5).

Table 2 .
Calculation of Criteria

Table 4 .
Ranking and Priority Results

Table 5 .
Maximum eigenvalue results

Table 6 .
Index Random

Table 8 .
Normalizing Alternative Values

Table 9 .
Ranking and Priority Results

Table 10 .
Maximum Eigenvalue Results