Development of Decision Support System Determining the Student as Scholarship Recipients by Fuzzy Multi Attribute Decision Making (Fmadm)

Saragih, Hoga; Marbun, Murni; Reza, Bobby

doi:10.21609/jsi.v9i2.354

Cited by 8 publications

(5 citation statements)

References 4 publications

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“…In determining the recipients of KIP assistance, the decision-making system is applied by various methods such as in research (Sugiyarti et al, 2018;Susilowati, Suyono, & Andewi, 2017;Syahputra, Sutrisno, & Gultom, 2020). The Fuzzy MADM method was used to determine preferences for weight gain as in the study (Syahputra et al, 2020)(Hoga Saragih, Murni Marbun, 2015. In a study conducted by (Syahputra et al, 2020) Fuzzy MADM was used to minimize deviations caused by uncertain and unclear linguistic values that often occur in ambiguous data arising from qualitative judgments of decision makers.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Provision of grants by the Government through universities (Data et al, 2020) with these conditions must make the process of distributing aid on target. Decision Support Systems have been widely used in the application of decision making, for decision making in education (Fiarni, Sipayung, & Tumundo, 2019) (Fitri, Pradnyana, & Darmawiguna, 2018) (Guo & Zhao, 2017), industry (Haning & Tahili, 2018) (Hoga Saragih, Murni Marbun, 2015), and for various other fields (Kahraman, Onar, & Oztaysi, 2015;Kahraman, Öztayşi, & Çevik Onar, 2016;Kamila & Helma, 2019;Komsiyah, Wongso, & Pratiwi, 2019;Kurniawan et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Analysis University of Surakarta KIP Scholarship Recipients Using the Fuzzy MADM Method and C-45

Sudalyo

Mukti

2022

SinkrOn

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The impact of the Covid-19 pandemic has forced the economic activity of the Indonesian population to decline drastically, which has an impact on the education funding process. Given these problems, it is necessary to develop a Decision-Making System to assist the selection process for KIP admissions for students who meet the requirements. The purpose of this research is that the provision of KIP can be right on target. For decision making, three stages are used with the method used, the first stage is the C-45 method for student priority decision making, the second stage is the Fuzzy MADM method, and the third stage is ranking according to the total quota. which is determined. The initial selection used the C-45 method with the variables of GPA, parents' income, achievements, parental dependents, and cases. The results of the C4.5 calculation show that the first priority is parental dependents with a Gain value of 0.007822696, followed by a GPA with a Gain value of -0.130011482, the third priority is Parents' Income with a Gain value of -0.702657067 and the last priority is an achievement. The results of the calculation are continued with Fuzzy MADM resulting in 5 rules used to determine student priorities (can) or not. The results achieved from 140 students who applied were accepted by 135 students who passed the initial stage, and out of 135 rankings, 70 students were determined to receive scholarships from the Government with the highest calculation score of 21 and the lowest of 14.4.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis University of Surakarta KIP Scholarship Recipients Using the Fuzzy MADM Method and C-45

Sudalyo

Mukti

2022

SinkrOn

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“…In determining the recipients of KIP aid decision-making systems are applied by various methods as in the study [21] [22] [ 19] [7]. The Fuzzy MADM method is used to determine preferences for weight gain as in the study [23] [24] [25][26][27][29][30] [31].…”

Section: A Literature Reviewmentioning

confidence: 99%

KIP Recipient Decision Making For Students Affected by Covid_19 Pendemi Using Fuzzy MADM Method

Haris¹,

Nidhom²,

Ariyanto³

et al. 2020

2020 3rd International Conference on Information and Communications Technology (ICOIACT)

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The impact of the Covid-19 pandemic on largescale social restrictions forced the economic activities of the Indonesian population to cease, which had an impact on the educational funding process. This makes some people expect a helping hand from the government to cover some of the shortcomings in daily spending, one of them through the Indonesia Smart Card. The provision of aid funds in these conditions must make the process of channeling aid on target. With this problem, it is important to develop a Decision Making System to help the KIP acceptance selection process for students who are indeed eligible to get it. The purpose of this study is that the provision of KIP can be right on target for students who really need it according to specified criteria. For decision making, three stages are used with the method used, the first stage the C-45 method is used for decision making whether students graduate or not, the second stage is the Fuzzy MADM method used for decision making of students who get KIP, and the third stage ranks according to specified total quota. Initial selection uses the C-45 method with variable GPA (V1), distance from home to campus (V2), length of study (V3), work (V4), family (V5), and tuition payment bills (V6). The calculation yields 5 rules which are used to determine normal (graduated) or DO (not) students. Students who pass the initial selection are processed using the MADM fuzzy method for the decision-making process that is truly feasible for KIP. Furthermore, the number that passes is ranked and the amount is taken based on the quota in accordance with the results of the ranking. Of the 456 student data received based on 1024 registrants after ranking, 300 students were drawn based on KIP target recipients. The results of testing the accuracy of 300 KIP recipients who obtained data actually had 284 rights. In order to obtain an accuracy of 98% of students who are eligible for KIP.

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“…After normalized matrix R is obtained, the value of the weighted matrix Y is determined by using sorting technique and TOPSIS method to obtain the prospective scholarship recipients based on the Vi obtained starting from the highest value to the lowest one by using Equation 3. The the application of SAW and TOPSIS in the selection process of scholarship recipients show the following results: (1) The first alternative is V5 = Ika, (2) The second Alternative is V2 = Danu, (3) The third Alternative is V1 = Alviana, (4) Fourth Alternative is V4 = Fransiska, (5) Alternative fifth is V3 = Elita. In this research it is proven that SAW and TOPSIS method can be used to solve the problem of determination of scholarships grantees.…”

Section: = [mentioning

confidence: 99%

“…Yet, those methods have low average of accuracy. In fact, determinining the scholarship grantees needs many consideration for the selection [5]. Therefore this research applies method of SAW and TOPSIS for decision making.…”

Section: Introductionmentioning

confidence: 99%

The Selection System of Student Scholarship Based on Simple Additive Weighting and Technique for Order Preference by Similarity to Ideal Solution Method

Anamisa¹,

Rachmad²,

Putro³

et al. 2018

Proceedings of the the 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus

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The scholarship is a financial aid given to candidate student who is eligible. This aid is aimed to help the students to pursue their study. In UTM, the scholarship system awards applied to select the right candidate of college students is still based on the principles of the proximity of the campus party. The scholarship given isn't for the right target. This research implemented a system of determining admission scholarships using the method of SAW and TOPSIS as a solution to support decision makers based on criteria that have been defined, including GPA, income of the parents, the number of dependant of the parents, tuition fees, semester and the involvement in association. The result of some trials had been shows that the average accuracy for five years is 88.4% compared to manual calculations or the equivalent of 6 to 8 days.

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Development of Decision Support System Determining the Student as Scholarship Recipients by Fuzzy Multi Attribute Decision Making (Fmadm)

Cited by 8 publications

References 4 publications

Analysis University of Surakarta KIP Scholarship Recipients Using the Fuzzy MADM Method and C-45

Analysis University of Surakarta KIP Scholarship Recipients Using the Fuzzy MADM Method and C-45

KIP Recipient Decision Making For Students Affected by Covid_19 Pendemi Using Fuzzy MADM Method

The Selection System of Student Scholarship Based on Simple Additive Weighting and Technique for Order Preference by Similarity to Ideal Solution Method

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