Decision Support System To Determine The Student Achievement Scholarship Recipients Using Fuzzy Multiple Attribute Decision Making (FMADM) With SAW

Kurniawan, Helmi; Swondo, Ashari P.; Sari, Eka Purnama; Ummi, Khairul; Yufrizal,; Agustin, Fhery

doi:10.1109/citsm47753.2019.8965326

Cited by 16 publications

(6 citation statements)

References 4 publications

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“…[12] Membuat penelitian penurunan populasi tingkat ekonomi rakyat yang disebabkan oleh covid-19 dengan tujuan untuk membantu perguruan tinggi dalam menentukan mahasiswa yang berhak mendapatkan bantuan biaya kuliah tunggal (UKT) dengan Algoritma K-Nearest Neighbor (KNN) dan SAW. Kemudian terdapat juga penelitian [13] menentukan penerimaan beasiswa berdasarkan kriteria yang melalui proses seleksi sehingga mendapatkan bobot kriteria yang berbeda. Pada penelitian tersebut menggunakan metode SAW, dengan system ini dapat meminimalkan kesalahan menentukan calon penerima beasiswa siapa yang unggul.…”

Section: Tinjauan Pustakaunclassified

Sistem Pendukung Keputusan Pemilihan Siswa Teladan Menggunakan Metode Simple Additive Weighting (SAW) Pada SMK Telkom Purwokerto

Fathoni¹,

Darmansah²,

Januarita³

2021

SISFOKOM

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Proses penentuan siswa teladan merupakan proses penilaian siswa dari berbagai aspek yang ditentukan oleh sekolah. Penetapan siswa terbaik di SMK Telkom Purwokerto sangat penting untuk meningkatkan semangat belajar siswa, karena penghargaan akan memotivasi prestasi belajar siswa. Penentuan perhitungan yang cepat dan akurat memerlukan suatu sistem yang dapat menangani manajemen pengambilan keputusan untuk menghasilkan siswa terbaik. Metode Simple Additive Weighting (SAW) merupakan metode yang dapat digunakan untuk mengetahui prestasi belajar siswa. Studi kasus dilakukan di SMK Telkom Purwokerto. Sistem informasi penentuan siswa berkualitas ini diharapkan dapat digunakan sebagai sarana di SMK Telkom Purwokerto. Dengan sistem ini, sekolah dapat dengan mudah memilih kriteria dan menentukan siswa terbaik di sekolah tersebut.

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Section: Tinjauan Pustakaunclassified

Sistem Pendukung Keputusan Pemilihan Siswa Teladan Menggunakan Metode Simple Additive Weighting (SAW) Pada SMK Telkom Purwokerto

Fathoni¹,

Darmansah²,

Januarita³

2021

SISFOKOM

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“…Pada penelitian sebelumnya Arief (2020) menggunakan cAHP untuk memberikan urutan rekomendasi prioritas kerja yang dapat dijadikan bahan pertimbangan pada Departemen TIK di Pemerintah Maluku Utara, Indonesia [1]. Kurniawan(2019) menentukan kriteria yang dapat menerima beasiswa prestasi bagi mahasiswa dengan menggunakan Metode Fuzzy Multiple Attribute Decision Making (FMADM) dengan metode SAW [2]. M Z Rohman(2020) menggunakan metode SAW dan metode TOPSIS untuk Pemilihan Fasilitas Kesehatan Berdasarkan Aplikasi Pelayanan Berbasis Lokasi [3].…”

Section: Pendahuluanunclassified

“…Metode AHP mampu menyelesaikan permasalahan yang kompleks berdasarkan hierarki kriteria, dengan menarik berbagai pertimbangan guna mengembangkan bobot atau prioritas [1]. Meskipun dengan aliran algoritmik sederhana tetapi metode Simple Additive Weighting SAW dapat menjadi solusi untuk masalah dalam menentukan perangkingan nilai siswa [2]. Berdasarkan beberapa penelitian sebelumnya, pada penelitian ini dilakukan analisis akurasi pengambilan keputusan siswa berprestasi dengan metode AHP dan SAW.…”

Section: Pendahuluanunclassified

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The application of the analytical hierarchy process and simple additive weighting methods in making decisions for high achieving students in vocational high schools.

Rahman

Muhartini

Wulansari

et al. 2021

JNNLK

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Vocational High School is a formal education unit that organizes vocational education that prepares students, especially to work in certain fields. In determining students who excel in certain fields, it is necessary to have a decision support system to improve the quality of decisions in determining students who excel from the highest average score. However, using the highest average score does not get optimal results because it is not adjusted to the existing needs in determining outstanding students. In this study, it can be used as a reference in making decisions for outstanding students by applying the Analytical Hierarchy Process and Simple Additive Weighting methods. The steps taken are: Data collection, Data Preprocessing, Ranking and Comparison of Results between Analytical Hierarchy Process, Simple Additive Weighting with manual weighting results. The results of the ranking comparison show that there are 6 students with the top ranking who are recommended to be outstanding students in the linguistic group.

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“…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%

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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Decision Support System To Determine The Student Achievement Scholarship Recipients Using Fuzzy Multiple Attribute Decision Making (FMADM) With SAW

Cited by 16 publications

References 4 publications

Sistem Pendukung Keputusan Pemilihan Siswa Teladan Menggunakan Metode Simple Additive Weighting (SAW) Pada SMK Telkom Purwokerto

Sistem Pendukung Keputusan Pemilihan Siswa Teladan Menggunakan Metode Simple Additive Weighting (SAW) Pada SMK Telkom Purwokerto

The application of the analytical hierarchy process and simple additive weighting methods in making decisions for high achieving students in vocational high schools.

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

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