Penerapan Metode Analytical Hierarchy Process (AHP) dalam Sistem Pendukung Keputusan Pemilihan Supplier di Sebuah Klinik Swasta
Abstract
The problem faced is the calculation is still done manually so that it causes errors in determining the selection of suppliers based on the cheapest price, discounts given, payment terms and speed of product delivery then there is no decision support system in the supplier determination process at the Medika Insani Clinic in Bekasi City because it still uses a conventional system and not a computerized system. The purpose of designing a decision support system for selecting suppliers is to make it easier for clinic owners to choose suppliers and the calculation process is computerized using the AHP method. The method used in this study is the Analytical Hierarchy Process in solving the problems that have been studied. The results obtained in this study are to produce an accurate report of the best supplier selection data at the Medika Insani Clinic so that it can help in making strategies in the future. The application system that has been designed is suitable for use in the supplier selection process at the Medika Insani Clinic because it is in accordance with the needs, so it can facilitate the administration in the data input process and report creation.
References
D. Raihan Rahmalita, A. Mahmudi, and Y. Agus Pranoto, “Sistem Pendukung Keputusan Kelayakan Pemberian Pinjaman Menggunakan Metode Topsis,” JATI (Jurnal Mhs. Tek. Inform., vol. 8, no. 2, pp. 1214–1220, 2024, doi: 10.36040/jati.v8i2.9083.
T. Khotimah and R. Nindyasari, “Forecasting Dengan Metode Regresi Linier Pada Sistem Penunjang Keputusan Untuk Memprediksi Jumlah Penjualan Batik (Studi Kasus Kub Sarwo Endah Batik Tulis Lasem),” J. Mantik Penusa, vol. 1, no. 1, pp. 71–92, 2017.
A. A. Al Mohamed, S. Al Mohamed, and M. Zino, “Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site,” Futur. Bus. J., vol. 9, no. 1, pp. 1–15, 2023, doi: 10.1186/s43093-023-00185-5.
M. Murtiwiyati, D. Indayanti, R. Jaka Saputra, S. Chodidjah, and A. Eka Pradita, “Sistem Penunjang Keputusan Pemilihan Karyawan Terbaik Dengan Metode SAW,” J. Sos. Teknol., vol. 2, no. 2, pp. 99–107, 2022, doi: 10.59188/jurnalsostech.v2i2.300.
K. R. Aliyeva, “Application Fuzzy AHP Method in Facility Location Selection for Software Systems,” Ultim. J. Tek. Inform., vol. 16, no. 2, pp. 76–83, 2025, doi: 10.31937/ti.v16i2.3545.
A. Zikri, A. S. Cristanto, and I. Imelda, “Penentuan Calon Sub-Kontraktor menggunakan Metode Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW),” MEANS (Media Inf. Anal. dan Sist., vol. 5, no. 1, pp. 54–60, 2020, doi: 10.54367/means.v5i1.740.
N. Ghorui, A. Ghosh, E. A. Algehyne, S. P. Mondal, and A. K. Saha, “Ahp-topsis inspired shopping mall site selection problem with fuzzy data,” Mathematics, vol. 8, no. 8, pp. 1–21, 2020, doi: 10.3390/math8081380.
W. Winarti and R. Vindua, “Sistem Pendukung Keputusan untuk Menentukan Pemberian Beasiswa Menggunakan Metode Simple Additive Weighting (SAW) pada Sekolah MTs Mathlaul Anwar,” vol. 6, no. 4, pp. 680–687, 2021.
L. Liesnaningsih, R. Taufiq, R. Destriana, and A. P. Suyitno, “Sistem Pendukung Keputusan Penerima Beasiswa Berbasis WEB Menggunakan Metode Simple Additive Weighting (SAW) pada Pondok Pesantren Daarul Ahsan,” J. Inform. Univ. Pamulang, vol. 5, no. 1, p. 54, 2020, doi: 10.32493/informatika.v5i1.4664.
Y. P. PHS, “Sistem Pendukung Keputusan Untuk Menentukan Lokasi Pendirian Hotel Baru Berbasis Analytical Hierarchy Process (Ahp) Di Kabupaten Kulon Progo,” J. Inform. Komputer, Bisnis dan Manaj., vol. 16, no. 3, pp. 56–66, 2023, doi: 10.61805/fahma.v16i3.90.
Zulkarnain, “Rancang Bangun Sistem Pendukung Keputusan,” Jurnal Ilmu Komputer dan Aplikasi, vol. 11, no. 3, pp. 134–142, 2020.
Fikri Aulia, & Toni Hidayat. (2021). Pengaruh Modal Dan Inovasi Terhadap Kinerja Umkm Kain Perca. Jurnal Bisnis Net, 2722–3574.
Lestari, S., & Badrul, M. (2020). Implementasi Klasifikasi Naive Bayes Untuk Prediksi Kelayakan Pemberian Pinjaman Pada Koperasi ANUGERAH BINTANG CEMERLANG. Jurnal Prosisko, 7(1).
Mukhsinin, D. A., Rafliansyah, M., Ibrahim, S. A., Rahmaddeni, R., & Wulandari, D. (2024). Implementasi Algoritma Decision Tree untuk Rekomendasi Film dan Klasifikasi Rating pada Platform Netflix. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 4(2), 570–579. https://doi.org/10.57152/malcom.v4i2.1255
Putri Wahyuni Arnold, Pinondang Nainggolan, & Darwin Damanik. (2020). Analisis Kelayakan Usaha dan Strategi Pengembangan Industri Kecil Tempe di Kelurahan Setia Negara Kecamatan Siantar Sitalasari. Jurnal Ekuilnomi, 2(1). https://doi.org/10.36985/ekuilnomi.v2i1.349
Sukmawati, H., & Nasution, F. Z. (2019). Analisis Kelayakan Bisnis Syariah Pada Usaha Mikro Tempe. In Jurnal Ekonomi Syariah (Vol. 4, Issue 1).
Wahab, A., Samarinda, S., Lishania, I., Goejantoro, R., & Nasution, Y. N. (2019). Perbandingan Klasifikasi Metode Naive Bayes dan Metode Decision Tree Algoritma (J48) pada Pasien Penderita Penyakit Stroke di RSUD Comparison of the Classification for Naive Bayes Method and the Decision Tree Algorithm (J48) for Stroke Patients in Abdul Wahab Sjahranie Samarinda Hospital. Jurnal eksponensial, 10(2).
Yelsha, O. :, Pasca, D., Manajemen, S., Tinggi, S., & Stmy, I. E. (2021). Pengaruh Jumlah Anggota, Simpanan, Pinjaman Dan Modal Kerja Terhadap Shu Pada Koperasi Kpri Mitra Kabupaten Majalengka. Jurnal Ekonomi Dan Bisnis, 8(2).
Aktavera, B., Oktafia, H., & Wijaya, L. (2023). Klasifikasi Produk Menggunakan Algoritma Decision Tree. In Universitas Bina Insan (Vol. 15, Issue 1).
Andayani, N., & Wahyuni, S. (2022). Analisis Studi Kelayakan Bisnis UMKM di Bidang Pangan pada Usaha Corn Dog Mozzarella dan Sosis. VISA : Journal of Vision and Ideas, 2(2), 143.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Penerapan Metode Analytical Hierarchy Process (AHP) dalam Sistem Pendukung Keputusan Pemilihan Supplier di Sebuah Klinik Swasta
Pages: 174 - 182
Copyright (c) 2025 Khoirunnisa Khoirunnisa, Lia Susanti

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).


