SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN UMKM TERBAIK MENGGUNAKAN METODE PREFERENCE SELECTION INDEX
Abstract
This study aims to design and implement a Decision Support System (DSS) based on the Preference Selection Index (PSI) method to determine the best Micro, Small, and Medium Enterprises (MSMEs) products in Bagan Sari Village, Labuhan Batu Selatan Regency. The main problem addressed is the need for a fair and objective mechanism to assess MSME products based on five key criteria: price, quality, popularity, innovation, and contribution to the village economy. This system is designed to assist the village government in prioritizing support for MSMEs with superior products, thereby significantly impacting the local economy. Through data analysis stages, the system successfully identified the top three alternatives: UMKM_07, UMKM_04, and UMKM_08, which scored the highest in the assessment criteria. These results demonstrate that the PSI method can provide objective and transparent recommendations. By implementing this DSS, the village government can allocate resources more effectively, support MSMEs in enhancing competitiveness, and drive local economic growth. This research is expected to serve as a reference for other villages in managing and advancing MSMEs in a measurable and efficient manner.
References
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[21] R. Panggabean and N. A. Hasibuan, “Penerapan Preference Selection Index (PSI) Dalam Sistem Pendukung Keputusan Pengangkatan Supervisor Housekeeping,” Rekayasa Tek. Inform. dan Inf., vol. 1, no. 2, pp. 85–93, 2020.
[22] N. P. Rizanti, L. T. Sianturi, and M. Sianturi, “Sistem Pendukung Keputusan Pemilihan Siswa Pertukaran Pelajar Menggunakan Metode PSI (Preference Selection Index),” Semin. Nas. Teknol. Komput. dan Sains, pp. 263–269, 2019, [Online]. Available: http://seminar-id.com/prosiding/index.php/sainteks/article/view/165/166
[23] E. Pratiwi, S. Parapat, K. Sinaga, E. Sirait, and A. S. Manalu, “Decision Support System for Selecting Social Assistance Recipients using The Preference Selection Index Method,” vol. 03, 2023, doi: 10.31763/iota.v3i4.662.
[2] S. S. Sitanggang, Y. Yuhandri, and Adil Setiawan, “Image Transformation With Lung Image Thresholding and Segmentation Method,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 7, no. 2, pp. 278–285, Mar. 2023, doi: 10.29207/resti.v7i2.4321.
[3] V. M. M. Siregar, K. Sinaga, E. Sirait, A. Manalu, and A. T. Purba, “Sistem pendukung keputusan pemilihan tenaga pendidik terbaik menggunakan metode complex proportional assessment,” TEKINKOM, vol. 7, no. 1, pp. 310–317, 2024, doi: 10.37600/tekinkom.v7i1.1258.
[4] V. M. M. Siregar and N. F. Siagian, “Sistem Informasi Front Office Untuk Peningkatan Pelayanan Pelanggan Dalam Reservasi Kamar Hotel,” J. Tek. Inf. dan Komput., vol. 4, no. 1, pp. 77–82, 2021, doi: 10.37600/tekinkom.v4i1.279.
[5] S. Sonang, A. T. Purba, and S. Sirait, “PREDIKSI PRESTASI MAHASISWA DENGAN MENGGUNAKAN ALGORITMA BACKPROPAGATION,” J. Tek. Inf. dan Komput., vol. 5, no. 1, p. 67, Jun. 2022, doi: 10.37600/tekinkom.v5i1.512.
[6] Edric and S. P. Tamba, “Prediksi Penyakit Gagal Jantung Dengan Menggunakan Random Forest,” J. Sist. Inf. dan Ilmu Komput. Prima(JUSIKOM PRIMA), vol. 5, no. 2, pp. 176–181, 2022, doi: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2445.
[7] V. M. M. Siregar et al., “Implementation of ELECTRE Method for Decision Support System,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1088, no. 1, p. 012027, Feb. 2021, doi: 10.1088/1757-899x/1088/1/012027.
[8] H. Hertyana, “Sistem pendukung keputusan penentuan karyawan terbaik menggunakan metode saw studi kasus amik mahaputra riau,” Intra-Tech, vol. 2, no. 1, pp. 74–82, 2018, [Online]. Available: https://www.journal.amikmahaputra.ac.id/index.php/JIT/article/view/27
[9] A. T. Purba, “Sistem Pendukung Keputusan Dalam Penerimaan Mahasiswa Baru Dengan Metode Analytical Hierarchy Process (AHP),” J. Tekinkom, vol. 1, no. 1, pp. 1–7, 2018.
[10] S. Parsaoran Tamba, P. Wulandari, M. Hutabarat, M. Christina, and A. Oktavia, “Penggunaan Metode Topsis (Technique for Order Preference By Similarity To Ideal Solution) Untuk Menentukan Kualitas Biji Kopi Terbaik Berbasis Android,” J. Mantik Penusa, vol. 3, no. 1, pp. 73–81, 2019.
[11] S. Aisyah and W. Purba, “Aplikasi Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menggunakan Metode Profile Matching,” J. Mahajana Inf., vol. 4, no. 2, pp. 16–20, 2019.
[12] Fricles Ariwisanto Sianturi, “Penerapan Metode Simple Additive Weighting (Saw) Dalam Sistem Pendukung Keputusan Penentuan Shift Pegawai (Studi Kasus: Rs.Bhayangkara Tk.Ii Medan,” J. Inf. Komput. Log., vol. I, no. 2, pp. 43–47, 2019.
[13] H. Sugara, V. M. M. Siregar, K. Sinaga, M. A. Hanafiah, and H. D. Pardede, “SAW and Electre Methods Implementation for Scholarship Awardee Decision,” IOTA, vol. 01, no. 4, pp. 209–220, 2021, doi: 10.31763/iota.v1i4.496.
[14] V. M. M. Siregar, M. A. Hanafiah, N. F. Siagian, K. Sinaga, and M. Yunus, “Decision Support System For Selecting The Best Practical Work Students Using MOORA Method,” IOTA, vol. 02, no. 4, pp. 270–278, 2022, doi: 10.31763/iota.v2i4.562.
[15] V. M. M. Siregar, “Decision Support System for Determining the Priority of Procurement of Goods with Electre Method,” Comput. Sci. Technol. Appl. J., vol. 1, no. 2, pp. 49–59, 2023.
[16] V. M. M. Siregar and E. D. Siringo-Ringo, “Decision Support System to Determine Scholarship Recipients using Analytical Hierarchy Process Method,” COSTA J. (Computer Sci. Technol. Appl. Journal), vol. 1, no. 1, pp. 39–49, 2023, doi: 10.35335/idss.v4i2.67.
[17] V. Marudut and M. Siregar, “Best Employee Selection Using The Additive Ratio Assesment Method,” vol. 03, 2023, doi: 10.31763/iota.v3i1.589.
[18] V. M. M. Siregar and H. Sugara, “SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SEPEDA MOTOR BEKAS MENGGUNAKAN METODE WASPAS,” J. Tek. Inf. dan Komput., vol. 5, no. 2, p. 263, Dec. 2022, doi: 10.37600/tekinkom.v5i2.393.
[19] V. M. M. Siregar et al., “Decision support system for selection of food aid recipients using SAW method,” in AIP Conference Proceedings, 2022, p. 030019. doi: 10.1063/5.0094385.
[20] V. M. M. Siregar, K. Sinaga, E. Sirait, A. S. Manalu, and M. Yunus, “Classification of Customer Satisfaction Through Machine Learning : An Artificial Neural Network Approach,” IOTA, vol. 3, no. 3, pp. 273–282, 2023, doi: 10.31763/iota.v3i3.643.
[21] R. Panggabean and N. A. Hasibuan, “Penerapan Preference Selection Index (PSI) Dalam Sistem Pendukung Keputusan Pengangkatan Supervisor Housekeeping,” Rekayasa Tek. Inform. dan Inf., vol. 1, no. 2, pp. 85–93, 2020.
[22] N. P. Rizanti, L. T. Sianturi, and M. Sianturi, “Sistem Pendukung Keputusan Pemilihan Siswa Pertukaran Pelajar Menggunakan Metode PSI (Preference Selection Index),” Semin. Nas. Teknol. Komput. dan Sains, pp. 263–269, 2019, [Online]. Available: http://seminar-id.com/prosiding/index.php/sainteks/article/view/165/166
[23] E. Pratiwi, S. Parapat, K. Sinaga, E. Sirait, and A. S. Manalu, “Decision Support System for Selecting Social Assistance Recipients using The Preference Selection Index Method,” vol. 03, 2023, doi: 10.31763/iota.v3i4.662.
Published
2024-12-31
How to Cite
ABDILLAH, Ihsan; BANGUN, Budianto; SIHOMBING, Volvo.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN UMKM TERBAIK MENGGUNAKAN METODE PREFERENCE SELECTION INDEX.
Jurnal Teknik Informasi dan Komputer (Tekinkom), [S.l.], v. 7, n. 2, p. 785-792, dec. 2024.
ISSN 2621-3079.
Available at: <https://jurnal.murnisadar.ac.id/index.php/Tekinkom/article/view/1546>. Date accessed: 26 apr. 2025.
doi: https://doi.org/10.37600/tekinkom.v7i2.1546.
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