Penerapan Metode TOPSIS Penentuan Pemberian Mikro Faedah Bank Syariah Indonesia (BSI)


  • Joli Afriany Universitas Nahdlatul Ulama Sumatera Utara, Medan, Indonesia
  • Kennedi Tampubolon * Mail Universitas Budi Darma, Medan, Indonesia
  • Rizkah Fadillah Universitas Budi Darma, Medan, Indonesia
  • (*) Corresponding Author
Keywords: Decision Support System; BSI Micro Benefits; TOPSIS

Abstract

The Faedah Micro Loan at Bank Syariah Indonesia is a program that is certainly an advantage for the customer and the bank as well. For this reason, an assessment is needed as a material for consideration or selection of prospective customers who are entitled to receive these loans through various predetermined criteria. Given the risk of uncollectible loans to customers is quite large. So to help determine someone who is entitled to receive a loan, a decision support system is needed. To calculate the feasibility of each prospective customer, the method used for the decision support system is the Technique for Orders Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method has a simple and easy-to-understand concept, this simplicity can be seen from the less complicated process flow. In this study, a search case will be discussed for each of the best alternative prospective customers who are entitled to receive a loan based on the criteria that have been determined using the TOPSIS method. The criteria used in the study were administrative completeness, marital status, savings books, guarantees and business income, then the weight values ​​of all these criteria were calculated. The results of the study indicate that the fifth alternative is the highest alternative with a value of 0.873.

Downloads

Download data is not yet available.

References

A. P. Pratidina, Mesran, and P. Ginting, “Sistem Pendukung Keputusan Kelayakan Peserta Untuk Mengikuti Proses Pelelangan Barang dan Jasa pada Pegadaian Menerapkan Metode Exprom II,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. I, pp. 242–247, 2017.

B. D. Meilani and A. W. Wardana, “Sistem Pendukung Keputusan Penentuan Resep Makanan Berdasarkan Bahan Makanan Menggunakan Metode Topsis,” Netw. Eng. Res. Oper., vol. 5, no. 1, p. 15, 2020.

J. H. Gurusinga and B. Sinaga, “Sistem Pendukung Keputusan Menentukan Prioritas Tujuan Wisata Daerah pada Kabupaten Karo Menggunakan TOPSIS,” J. Nas. Komputasi dan Teknol. Inf., vol. 3, no. 2, pp. 144–150, 2020.

F. Irawan, “SISTEM PENUNJANG KEPUTUSA SISTEM PENDUKUNG KEPUTUSAN PENERIMA PROGRAM KELUARGA HARAPAN (PKH) MENGGUNAKAN METODE AHP DAN TOPSIS (Studi Kasus : Kelurahan Sribasuki Kotabumi),” Aisyah J. Informatics Electr. Eng., vol. 2, no. 2, pp. 171–178, 2020.

P. Mauliana, N. Hunaifi, and F. Wahyudi, “Sistem Pendukung Keputusan Penerimaan Debitur Menggunakan Metode Topsis (Studi Kasus: Swamitra Ksp Intranz),” Infotronik J. Teknol. Inf. dan Elektron., vol. 3, no. 1, p. 15, 2018.

O. Konstumer and M. Metode, “SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PEMILIHAN KREDIT BANK OLEH KONSTUMER MENGGUNAKAN METODE TOPSIS Sriwinar,” vol. 4, no. 4, pp. 15–19, 2020.

R. FAUZIAH, “Implementasi Akad Murabahah Dalam Produk Pembiayaan Mikro Faedah Ib Pada Bank Brisyariah Kcp Bogor Tajur,” Researchgate.Net, no. January, 2021.

N. Putra, D. R. Habibie, and I. F. Handayani, “Sistem Pendukung Keputusan Pemilihan Supplier Pada Tb.Nameene Dengan Metode Simple Additive Weighting (Saw),” Jursima, vol. 8, no. 1, p. 45, 2020.

M. D. Sena, “Sistem Pendukung Keputusan Untuk Menentukan Peserta Terbaik Dalam Perlombaan Penulisan Kaligrafi Dengan Metode Topsis,” vol. 4307, no. February, pp. 26–32, 2020.

T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis, 2020.

G. Ginting, Fadlina, Mesran, A. P. U. Siahaan, and R. Rahim, “Technical Approach of TOPSIS in Decision Making,” Int. J. Recent Trends Eng. Res., vol. 3, no. 8, pp. 58–64, 2017.

S. S. S, A. T. Purba, V. Marudut, M. Siregar, T. Komputer, and P. B. Indonesia, “SISTEM PENDUKUNG KEPUTUSAN KELAYAKAN PEMBERIAN PINJAMAN,” vol. 3, pp. 25–30, 2020.

Mesran, E. P. Sumantri, Supriyanto, S. H. Sahir, and N. K. Daulay, “Implementation of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in Recommendations for New Position in Companies,” Int. J. Inf. Syst. Technol., vol. 4, no. 2, pp. 661–669, 2021.

Y. Zai, M. Mesran, B. Nadeak, and I. Saputra, “PENERAPAN TECHNIQUE FOR ORDERS PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) UNTUK KEPUTUSAN PEMBERIAN KREDIT PADA CALON NASABAH (Studi Kasus : PT. SS Finance),” MEDIA Inform. BUDIDARMA, vol. 1, no. 1, Feb. 2017.

K. D. Maisari, D. Andreswari, and R. Efendi, “Implementasi Metode TOPSIS dengan Pembobotan Entropy untuk Penentuan Calon Penerima Bantuan Siswa Miskin (BSM) APBD Kota Bengkulu( Studi Kasus : SMAN 8 Kota Bengkulu ),” J. Rekursif, vol. 5, no. 2, pp. 179–194, 2017.

E. R. Hylenarti Hertyana1, “Sistem Pendukung Keputusan Untuk Rekomendasi Pembelian Smartphone Dengan Menggunakan Metode Topsis,” J. Tek. Inform. Unika St. Thomas, vol. 5, no. 1, pp. 80–91, 2020.

Y. Zai, B. Nadeak, and I. Saputra, “PENERAPAN TECHNIQUE FOR ORDERS PREFERENCE BY SIMILARITY TO IDEAL SOLUTION ( TOPSIS ) UNTUK KEPUTUSAN PEMBERIAN KREDIT PADA CALON NASABAH ( Studi Kasus : PT . SS Finance ),” Media Inform. Budidarma, vol. 1, no. 1, pp. 1–7, 2017.

C. E. Prawiro, M. Y. H. Setyawan, and S. F. Pane, “Studi Komparasi Metode Entropy dan ROC dalam Menentukan Bobot Kriteria,” J. Tekno Insentif, vol. 15, no. 1, pp. 1–14, 2021.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Penerapan Metode TOPSIS Penentuan Pemberian Mikro Faedah Bank Syariah Indonesia (BSI)

Dimensions Badge
Article History
Submitted: 2021-08-12
Published: 2021-08-24
Abstract View: 145 times
PDF Download: 158 times
Section
Articles