Performance Comparison of AHP and Saw Methods For Selection of Doc Broiler Chicken Suppliers

  • Anik Vega Vitianingsih Universitas Dr.Soetomo Surabaya
  • Putu Gede Ari Krismantoro Universitas Dr. Soetomo Surabaya
  • Anastasia Lidya Maukar Universitas Presiden
  • Arizia Aulia Aziiza Universitas Surabaya
  • Anindo Saka Fitri UPN Veteran Jawa Timur
Abstract views: 444 , PDF downloads: 513
Keywords: DSS, AHP, SAW, Comparation Method, Performance Algorithm, Recommendation Alternatif

Abstract

Choosing the most suitable day-old chick (DOC) broiler chicken supplier is currently one of the most important issues that must be addressed. This is because selecting the most suitable supplier can reduce the amount spent on purchases and the risk of sick chickens being delivered by the supplier. Another problem related to supplier selection that has been happening so far is the quality of products that are not following company standards or rejected products. The number of products provided does not match what was ordered by the company. The decision support system (DSS) can evaluate and select suppliers using multi-criteria characteristics related to the solutions offered based on parameters quality, price, delivery, supplier certificates, and death claims after the chickens have been delivered. The Analytical Hierarchy Process (AHP) and the Simple Additive Weighting (SAW) methods are used in this study as a comparison to produce the best-recommended accuracy value to get the best decision results based on ranking. The test results state that the AHP and SAW methods go well. The test was carried out using a dataset of the last ten months of history of purchasing docs broiler chicken from suppliers. The comparison of the results of the F1-score value between the AHP and SAW methods is 94% and 87%, respectively. The results state that the AHP method is superior as a system recommendation that can produce the best alternative supplier.

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References

D. Arnott, F. Lizama, and Y. Song, “Patterns of business intelligence systems use in organizations,” Decis. Support Syst., vol. 97, no. May 2017, pp. 58–68, 2017, https://doi.org/10.1016/j.dss.2017.03.005.

F. Ibrahim, T. R. Agus, and N. W. W. Sari, “Identifikasi Metode Pengembangan Sistem Informasi di Indonesia: A Systematic Literature Review,” METIK J., vol. 5, no. 1, pp. 47–54, 2021, https://doi.org/10.47002/metik.v5i1.215.

I. Uvalieva, Z. Garifullina, A. Utegenova, S. Toibayeva, and B. Issin, “Development of intelligent system to support management decision-making in education,” in 2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO), 2015, pp. 1–7, https://doi.org/10.1109/ICMSAO.2015.7152249.

M. S. Hasan, Z. Ebrahim, W. H. Wan Mahmood, and M. N. Ab Rahman, “Decision support system classification and its application in manufacturing sector: A review,” J. Teknol., vol. 79, no. 1, pp. 153–163, 2017, 153–163. https://doi.org/10.11113/jt.v79.7689.

M. Ghasemaghaei, “Does data analytics use improve firm decision making quality? The role of knowledge sharing and data analytics competency,” Decis. Support Syst., vol. 120, no. May 2019, pp. 14–24, 2019, https://doi.org/10.1016/j.dss.2019.03.004.

E. Kilsdonk, L. W. Peute, and M. W. M. Jaspers, “Factors influencing implementation success of guideline-based clinical decision support systems: a systematic review and gaps analysis,” Int. J. Med. Inform., vol. 98, no. February 2017, pp. 56–64, 2017, https://doi.org/10.1016/j.ijmedinf.2016.12.001.

N. I. Megawati, Y. Dhamayanti, M. T. E. Purnama, S. Soeharsono, A. Yudhana, and M. N. Yunita, “Pola Pertumbuhan Ayam Broiler Strain Lohmann Berdasarkan Osteometri Tulang Sayap,” J. Med. Vet., vol. 3, no. 2, p. 216, 2020, https://doi.org/10.20473/jmv.vol3.iss2.2020.216-223.

N. Nurdin, U. Usman, and A. Syahridah, “Analisis Kelayakan Kemitraan Ayam Pedaging (Broiler) di Kota Parepare,” J. Ris. Agribisnis dan Peternak., vol. 6, no. 1, pp. 9–20, 2021, https://doi.org/10.37729/jrap.v6i1.1301.

N. M. Santa, L. S. Kalangi, and E. Wantasen, “Analisis Kelayakan Usaha Broiler di Kelurahan Taratara I Kecamatan Tomohon Barat Kota Tomohon,” Zootec, vol. 40, no. 1, pp. 289–298, 2020, https://doi.org/10.35792/zot.40.1.2020.27733.

N. B. Waruwu, D. Suherdi, and S. Kusnasari, “Sistem Pendukung Keputusan Seleksi Supplier Pemilihan Bibit Ayam Broiler Terbaik Pada CV. Berkah Jaya Abadi Menggunakan Metode Analytical Hierarchy Process (AHP),” J. Cyber Tech, vol. 4, no. 7, pp. 1–12, 2021.

Y. Farida, P. Krismadewi, D. Yuliati, and H. Khaulasari, “Selecting The Best Broiler Chicken Supplier of PT Sentral Unggas Perkasa (PT SUP) Using Analytical Hierarchy Process (AHP) and Weighted Product (WP) Methods,” J. Ilm. Tek. Ind., vol. 21, no. 2, pp. 281–290, 2022, https://doi.org/10.23917/jiti.v21i2.18045.

I. K. P. Suniantara and G. Suwardika, “Penerapan Metode VIKOR pada Pengambilan Keputusan Seleksi Calon Penerima Beasiswa Bidikmisi Universitas Terbuka,” Intensif, vol. 2, no. 1, p. 24, 2018, https://doi.org/10.29407/intensif.v2i1.11848.

M. Teguh, S. Setyaningsih, and . M., “SISTEM PENUNJANG KEPUTUSAN PEMILIHAN INDUK AYAM KUB TERBAIK DENGAN METODE FUZZY DAN VIKOR,” Komputasi J. Ilm. Ilmu Komput. dan Mat., vol. 17, no. 1, pp. 339–345, 2020, https://doi.org/10.33751/komputasi.v17i1.1750.

L. Sumaryanti and N. Nurcholis, “Analysis of Multiple Criteria Decision Making Method for Selection the Superior Cattle,” INTENSIF J. Ilm. Penelit. dan Penerapan Teknol. Sist. Inf., vol. 4, no. 1, pp. 131–141, 2020, https://doi.org/10.29407/intensif.v4i1.13863.

Y. Yunandar, H. Effendi, W. Widiatmaka, and Y. Setiawan, “The Implementation of Analytical Hierarchy Process Method for Determining Livestock Alabio Duck Development Strategy in Rawa Hulu Sungai Utara,” INTENSIF J. Ilm. Penelit. dan Penerapan Teknol. Sist. Inf., vol. 5, no. 1, pp. 105–120, 2021, https://doi.org/10.29407/intensif.v5i1.14770.

A. G. F. Simanjuntak, A. P. Windarto, and E. Irawan, “Analisis Faktor Pendukung Penjualan pada DOC Ayam Broiler Menggunakan Algoritma MOORA pada PT. Karya Semangat Mandiri Pematangsiantar,” in Prosiding Seminar Nasional Riset Information Science (SENARIS), 2019, vol. 1, pp. 274–286, https://doi.org/10.30645/senaris.v1i0.33.

M. R. Asadabadi, E. Chang, and M. Saberi, “Are MCDM methods useful? A critical review of analytic hierarchy process (AHP) and analytic network process (ANP),” Cogent Eng., vol. 6, no. 1, p. 1623153, 2019, https://doi.org/10.1080/23311916.2019.1623153.

J. E. Leal, “AHP-express: A simplified version of the analytical hierarchy process method,” MethodsX, vol. 7, p. 100748, 2020, https://doi.org/10.1016/j.mex.2019.11.021.

A. V. Vitianingsih, N. Suryana, and Z. Othman, “Spatial analysis model for traffic accident-prone roads classification: A proposed framework,” IAES Int. J. Artif. Intell., vol. 10, no. 2, pp. 365–373, 2021, https://doi.org/10.11591/ijai.v10.i2.pp365-373.

R. K. Rainer and B. Prince, Introduction to information systems. John Wiley & Sons, 2021.

R. Stair and G. Reynolds, Principles of information systems. Cengage Learning, 2020.

V. Rajaraman, Introduction to information technology. PHI Learning Pvt. Ltd., 2018.

O. E. Olorunshola and F. N. Ogwueleka, “Review of system development life cycle (SDLC) models for effective application delivery,” in Information and Communication Technology for Competitive Strategies (ICTCS 2020), Springer, 2022, pp. 281–289, https://doi.org/10.1007/978-981-16-0739-4_28.

A. V. Vitianingsih, D. Cahyono, and A. Choiron, “Analysis and design of web-geographic information system for tropical diseases-prone areas: A case study of East Java Province, Indonesia,” in 2017 4th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2017, pp. 255–260, https://doi.org/10.1109/ICITACEE.2017.8257713.

K. Tatroe and P. MacIntyre, Programming PHP: Creating dynamic web pages. O’Reilly Media, 2020.

D. Bork, D. Karagiannis, and B. Pittl, “A survey of modeling language specification techniques,” Inf. Syst., vol. 87, no. January 202, p. 101425, 2020, https://doi.org/10.1016/j.is.2019.101425.

N. Roy-Hubara and A. Sturm, “Design methods for the new database era: a systematic literature review,” Softw. Syst. Model., vol. 19, no. 2, pp. 297–312, 2020, https://doi.org/10.1007/s10270-019-00739-8.

V. Sihombing, V. M. M. Siregar, W. S. Tampubolon, M. Jannah, and A. Hakim, “Implementation of simple additive weighting algorithm in decision support system,” in IOP Conference Series: Materials Science and Engineering, 2021, vol. 1088, no. 1, p. 12014, https://doi.org/10.1088/1757-899X/1088/1/012014.

E. Nurninawati, H. Henderi, and S. Sudaryono, “Decision Support System for Assessment of Learning Process Using Simple Additive Weighting,” CCIT J., vol. 14, no. 2, pp. 141–149, 2021, https://doi.org/10.33050/ccit.v14i2.1264.

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Published
2023-02-10
How to Cite
[1]
A. V. Vitianingsih, P. G. A. Krismantoro, A. L. Maukar, A. A. Aziiza, and A. S. Fitri, “Performance Comparison of AHP and Saw Methods For Selection of Doc Broiler Chicken Suppliers”, intensif, vol. 7, no. 1, pp. 54-67, Feb. 2023.