Pharmacist Acceptance Decision Support System Applying AHP and COPRAS Methods


Authors

  • Siska Zega Budi Darma University, Medan, Indonesia
  • Mesran Mesran Budi Darma University, Medan, Indonesia

DOI:

https://doi.org/10.64366/ijids.v1i1.15

Keywords:

Pharmacist; Analytic Hierarchy Process (AHP); Complex Proportional Assessment (COPRAS)

Abstract

A pharmacist is a profession that is responsible for drugs both synthetic and herbal for the purpose of human health, namely starting from designing drugs, producing them, distributing them, monitoring whether the drugs prescribed by doctors are appropriate and of high quality and safe for patients. Qualified pharmacists will make it easier for companies to select pharmacists during the recruitment process. The pharmacist recruitment process requires a professional and accurate way to produce human resources that can support the quality and success of an organization. Pharmacist recruitment usually takes a long time, because the organization or company must first carefully examine and select the criteria and requirements completed by prospective pharmacists. Seeing this situation, in selecting pharmacist acceptance, a decision support system (SPK) is needed so that pharmacist acceptance can be carried out more accurately, quickly and not subjectively. Decision-making techniques using the Analytic Hierarchy Process (AHP) method developed by Thomas L Saaty are to help solve complex problems by compiling a hierarchy of criteria, subjectively assessed by interested parties and then draw various considerations to develop weights or priorities, while decision-making techniques using the COmplex PRoportional ASsessment (COPRAS) method are used to assist decision-making in making decisions on several alternative decisions to get an accurate and optimal decision. The final results obtained Billy Surkawi, S.Farm, is a pharmacist candidate who has the first highest score with a final score of 100.00, and second place Nurul andini, S.Farm with a final score of 93.66. So that the two pharmacist candidates can be proposed to become pharmacists from the results of the selection carried out.

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References

J. Afriany, K. Tampubolon, and R. Fadillah, “Penerapan Metode TOPSIS Penentuan Pemberian Mikro Faedah Bank Syariah Indonesia (BSI),” TIN Terap. Inform. Nusant., vol. 2, no. 3, pp. 129–137, 2021.

M. Yanto, “Sistem Penunjang Keputusan Dengan Menggunakan Metode Ahp Dalam Seleksi Produk,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 3, no. 1, pp. 167–174, 2021.

D. O. Wibowo and A. T. Priandika, “Sistem Pendukung Keputusan Pemilihan Gedung Pernikahan Pada Wilayah Bandar Lampung Menggunakan Metode Topsis,” J. Inform. Dan Rekayasa Perangkat Lunak, vol. 2, no. 1, pp. 73–84, 2021.

R. Safitri and I. Firdaus, “SPK Rekomendasi Pekerjaan Dengan Metode EDAS (Studi Kasus: Lembaga Kursus dan Pelatihan Komputer Widya Informatika Selat Panjang),” J. Inf. Komput. Log., vol. 1, no. 4, 2020.

S. Manurung, R. T. Torong, and I. S. Dumayanti, “Sistem Pendukung Keputusan Kelayakan Nasabah Pinjaman Kredit Dengan Metode Exprom Ii,” J. Ilm. Tek. Inform. METHOTIKA, vol. 2, no. 1, pp. 1–7, 2022.

H. Dafitri, N. Wulan, and H. Ritonga, “Analisis Perbandingan Sistem Pendukung Keputusan Pemilihan Guru Terbaik Menggunakan Metode TOPSIS dan WASPAS,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 5, pp. 1313–1321, 2022.

S. R. Tanjung, M. Mesran, S. Sarwandi, and M. V Siagian, “Penerapan Metode COPRAS dan ENTROPY dalam Pemilihan Anggota Badan Pengawas Pemilihan Umum (BAWASLU),” J. Informatics Manag. Inf. Technol., vol. 1, no. 2, pp. 48–59, 2021.

M. I. H. Saputra and N. Nugraha, “Sistem Pendukung Keputusan Dengan Metode Analytical Hierarchy Process (Ahp)(Studi Kasus: Penentuan Internet Service Provider Di Lingkungan Jaringan Rumah),” J. Ilm. Teknol. Dan Rekayasa, vol. 25, no. 3, pp. 199–212, 2021.

A. Pratama, N. Novriyenni, and N. Nurhayati, “SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN DUSUN TERBAIK DI DESA LAU MULGAP DENGAN MENGGUNAKAN METODE AHP (ANALYTICAL HIERARCHY PROCESS),” JTIK (Jurnal Tek. Inform. Kaputama), vol. 6, no. 1, pp. 284–289, 2022.

G. Ginting, S. Alvita, M. Mesran, A. Karim, M. Syahrizal, and N. K. Daulay, “Penerapan Complex Proportional Assessment (COPRAS) Dalam Penentuan Kepolisian Sektor Terbaik,” J-SAKTI (Jurnal Sains Komput. dan Inform., vol. 4, no. 2, pp. 616–631, 2020.

A. Fadilla, A. H. Nasyuha, and V. W. Sari, “Sistem Pendukung Keputusan Pemilihan Juru Masak (Koki) Menggunakan Metode Complex Proportional Assesment (COPRAS),” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 2, pp. 316–327, 2022.

M. Yanto, “SISTEM PENUNJANG KEPUTUSAN DENGAN MENGGUNAKAN,” vol. 3, no. 1, pp. 167–174, 2021.

T. Yolanda and M. Sihite, “Sistem Pendukung Keputusan Penentuan Kelompok Nelayan Terbaik Menerapkan Metode Copras,” vol. 7, no. 2, pp. 106–110, 2020.

A. Triayudi, F. Nugroho, A. G. Simorangkir, and M. Mesran, “Sistem Pendukung Keputusan Dalam Penilaian Kinerja Supervisor Menggunakan Metode COPRAS Dengan Pembobotan ROC,” J. Comput. Syst. Informatics, vol. 3, no. 4, pp. 461–468, 2022.

G. S. Mahendra and K. Y. Ernanda Aryanto, “SPK Penentuan Lokasi ATM Menggunakan Metode AHP dan SAW,” J. Nas. Teknol. dan Sist. Inf., vol. 5, no. 1, pp. 49–56, 2019, doi: 10.25077/teknosi.v5i1.2019.49-56.

A. Karim, S. Esabella, K. Kusmanto, M. Mesran, and U. Hasanah, “Analisa Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) dan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Calon Karyawan Tetap Menerapkan Pembobotan Rank Order Centroid (ROC),” J. Media Inform. Budidarma, vol. 5, no. 4, pp. 1674–1687, 2021.

H. Arahman, “Tingkat Akurasi dalam Analisis Perbandingan Metode ORESTE dengan PSI terhadap Penilai Kinerja Dosen,” J. Inf. dan Teknol., pp. 7–12, 2023.

D. Aldo, N. Putra, and Z. Munir, “Sistem Pendukung Keputusan Penilaian Kinerja Dosen Dengan Menggunakan Metode Multi Attribute Utility Theory (Maut),” JURSIMA (Jurnal Sist. Inf. dan Manajemen), vol. 7, no. 2, pp. 76–82, 2019.

A. Kusuma and G. Ginting, “Sistem Pendukung Keputusan Pemilihan Apoteker Terbaik Pada PT. Kimia Farma (Persero) Tbk Medan Menerapkan Metode Vikor,” J. Sist. Komput. Dan Inform., vol. 1, no. 3, pp. 252–257, 2020.

C. Astutiningsih, N. P. Tjahjani, and L. Listyani, “Pengenalan Profesi Apoteker dan Mengenali Obat Sejak Usia Dini,” J. Abdidas, vol. 2, no. 3, pp. 713–719, 2021.

Y. Hendrika, V. K. Utama, S. B. Riva, and Y. Febrianita, “Pelatihan Apoteker Cilik (Apocil) Dan Pengenalan Dagusibu di Madrasah Ibtidaiyah Nur Ikhlas Kecamatan Tualang,” J. Pengabdi. Masy. Multidisiplin, vol. 6, no. 1, pp. 25–29, 2022.

L. M. Alfarizi and B. F. Maharani, “Perlindungan Hukum Bagi Konsumen Terhadap Kelalaian Apoteker Dalam Memberikan Resep Obat Pada Pelayanan Kesehatan,” Med. J. Ilm. Kesehat., vol. 2, no. 1, pp. 1–9, 2022.

J. Hutagalung, K. Erwansyah, F. Sonata, and B. Anwar, “Baker Terbaik Combination of Ahp and Moora Methods in Choosing,” vol. 7, no. 2, 2022.

H. A. Septilia, P. Parjito, and S. Styawati, “Sistem pendukung keputusan pemberian dana bantuan menggunakan metode ahp,” J. Teknol. Dan Sist. Inf., vol. 1, no. 2, pp. 34–41, 2020.

R. Agusli, M. I. Dzulhaq, and F. C. Irawan, “Sistem Pendukung Keputusan Penerimaan Karyawan Menggunakan Metode Ahp-Topsis,” Acad. J. Comput. Sci. Res., vol. 2, no. 2, 2020.

C. Pertiwi and A. Diana, “Aplikasi Sistem Pendukung Keputusan Penilaian Karyawan Terbaik Menggunakan Metode AHP Dan SAW,” J. Bit, vol. 17, no. 1, pp. 23–30, 2020.

A. W. N. Ulfy and P. A. R. Devi, “Penentuan Kenaikan Jabatan Menggunakan Pembobotan Metode AHP dan Didukung Metode Complex Proportional Assessment,” J. Sist. Komput. dan Inform., vol. 3, no. 3, pp. 232–240, 2022.


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ARTICLE HISTORY

Published: 2023-11-10

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How to Cite

Zega, S., & Mesran, M. (2023). Pharmacist Acceptance Decision Support System Applying AHP and COPRAS Methods. International Journal of Informatics and Data Science, 1(1), 26-35. https://doi.org/10.64366/ijids.v1i1.15