DOI: https://doi.org/10.21456/vol13iss2pp104-111

Implementasi Metode Fuzzy AHP untuk Sistem Pendukung Keputusan Peminjaman pada Koperasi Kredit Sejahtera

*Muhammad Galih Wonoseto scopus  -  UIN Sunan Kalijaga Yogyakarta, Indonesia
Muhammad Yolan Alfiandy  -  UIN Sunan Kalijaga Yogyakarta, Indonesia
Open Access Copyright (c) 2023 JSINBIS (Jurnal Sistem Informasi Bisnis)

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Abstract

Koperasi Kredit Sejahtera is a cooperative engaged in savings and loan services in the Bogor area. One form of KKS service to employees is by providing loan funds to help solve financial problems for employees. The problem faced by KKS so far is that decision-making activities in lending are still inadequate which results in non-performing loans or bad debts because the cooperative does not have a special system for decision making. Based on the problems that occur, researchers will build a decision support system that can handle credit problems using the Fuzzy AHP method using 9 criteria, namely salary, term, other loans, membership status, expenses, accuracy of previous payments, work, loan purpose and loan amount so that it can help the cooperative in determining the provision of loans to prospective creditors quickly, precise and accurate according to the ranking of the fuzzy AHP calculation results. Blackbox testing is carried out to test the achievement of the functional requirements of the system which shows that the functional requirements are met 100% of the total 8 functional consisting of 5 functional on admin actor and 3 functional on officer actor can be done/valid. UAT testing is used to test the achievement of non-functional requirements. By conducting a questionnaire to 16 respondents, the result is 100% valid and reliable. So that 100% of non-functional needs are successfully met.

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Keywords: Sistem Pendukung keputusan, Fuzzy AHP, Blackbox Testing, UAT

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Language : ID
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  5. Endra, R. Y., Kartree, V., 2021. Perbandingan algoritma fuzzy SAW dan AHP untuk penentuan siswa terbaik pada aplikasi e-report sekolah. Journal of Information Systems and Informatics 3 (3), 634-644. https://doi.org/10.51519/journalisi.v3i4.207
  6. Fitriana, N., Santosa, B., 2020. Analisis faktor-faktor pemilihan suplier material pada jasa usaha konstruksi dengan metode fuzzy AHP. Fondasi: Jurnal Teknik Sipil 9(1), 1-11. https://doi.org/10.36055/jft.v9i1.7440
  7. Harahap, A. R., Simbolon, N. H., Agata, R. A., Sunarsih., 2022. Metode fuzzy AHP (analytical hierarchy process) untuk pemilihan metode pembelajaran demi menunjang pembelajaran matematika. Jurnal Sains dan Edukasi Sains 5 (1), 9-17. https://doi.org/10.24246/juses.v5i1p9-17
  8. Hasugian, H., Mursyidin, I. H., Handayani, M. D., 2018. Sistem penunjang keputusan pemberian kredit dengan metode simple additive weighting (SAW) studi kasus: koperasi karyawan gatera PT PLN (persero) area kebayoran. Prosiding SINTAK 465-471
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  10. Maesyaroh, S., 2020. Analisis perbandingan metode AHP dan topsis dalam pemilihan asisten laboratorium di FKOM UNIKU. Jurnal Nuansa Informatika 14 (2), 17-30. https://doi.org/10.25134/nuansa.v14i2.2913
  11. Nag, K., Helal, M., 2018. Multicriteria inventory classification of diabetes drugs using a comparison. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 1456-1460. https://doi.org/10.1109/IEEM.2018.8607678
  12. Pangestu, B., Anwar, S., 2018. Pemodelan sistem pendukung keputusan pemberian kredit dengan metode AHP berbasis web mobile, 295-301
  13. Siagian, L., 2017. Sistem penunjang keputusan pemberian kredit menggunakan logika fuzzy pada dealer sepeda motor honda. Jurnal METHODIKA 3(1), 230-234
  14. Siregar, S. S., Wibowo, A. 2021. Sistem penunjang keputusan pemilihan pegawai penerima promosi menggunakan metode AHP dan Topsis. SEMNAS RISTEK 5(1), 814-820
  15. Tanjung, D. Y., Adawiyah, R., 2018. Optimizing selection of decision support system with fuzzy simple additive weighting. International Conference on Cyber and IT Service Management (CITSM), 1-4. https://doi.org/10.1109/CITSM.2018.8674360
  16. Vadreas, A. K., Turaina, R., Ardiansyah, S. 2018. Sistem penunjang keputusan penentuan (SPK) bantuan dana pembangunan rumah tidak layak huni (RTLH) dengan metode multi factor evoluation process (MFEP). Jurnal Teknoif , Teknik Informatika, Institut Teknologi Padang 6 (1), 18-23. https://doi.org/10.21063/JTIF.2018.V6.1.18-23
  17. Valentino, V. H., Setiawan, H. S., Saputra, A., Haryanto, Y., Putra, A. S., 2021. Decision support system for thesis session pass recommendation using AHP. International Journal of Educational Research & Social Sciences 2 (1), 215-221. https://doi.org/10.51601/ijersc.v2i1.35

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