Decision Support System in Identification of Swallow's Nest Quality with Weighted Product Method

Sistem Pendukung Keputusan dalam Identifikasi Kualitas Sarang Burung Walet dengan Metode Weighted Product


  • ardialis Universitas Putra Indonesia YPTK Padang
  • Sarjon Defit Universitas Putra Indonesia YPTK Padang
  • Gunadi Widi Nurcahyo Universitas Putra Indonesia YPTK Padang


This Decision Support System is related to the Weighted Product method in considering the criteria and weights. The Weighted Product (WP) method is one of the methods used to complete the decision-making system by considering the criteria and weights. Decision-making on the quality of the best swallow's nest is that there are no determination criteria so that it does not provide a maximum decision. This method uses equations to connect attributes and only produces the largest value that will be selected as the best alternative. The use of the Weight Product method produces ranking results in accordance with calculations from the manual with both data showing an accuracy rate of 100%. These results are implemented into a website-based decision support system using PHP and Mysql programming in general the system built has been able to run and can produce ranking data well.


Download data is not yet available.


Vladimir S. Simankov V. S., Cherkasov A. N., Buchatskiy P. Y., & Teploukhov S. V, “Synthesis of a Decision Support System Based on an Intelligent Situational Center,” International Conference on Soft Computing and Measurements (SCM), IEEE, 2020, pp. 182-185.

Chatterjee P., Cymberknop L. J., Armentano R. L, “IoT-based Decision Support System for Intelligent Healthcare – Applied to Cardiovascular Diseases”, International Conference on Communication Systems and Network Technologies, IEEE, 2017, pp. 362-366.

Roni R., Sumijan, S., & Santony J, “Metode Weighted Product dalam Pemilihan Penerima Beasiswa Bagi Peserta Didik.),” Vol 3(1), Jurnal Rekayasa Sistem Dan Teknologi Informasi (Resti), 2019, pp. 87-93.

Nababan L., & Tuti E, “Determination Feasibility of Poor Household Surgery By Using Weighted Product Method”, International Conference on Cyber and IT Service Management (CITSM), Parapat, IEEE, 2018.

Khairina D. MD., Asrian M. R., & Hatta H. R, “Decision Support System For New Employee Recruitment Using Weighted Product Method,” d Int. Conf. on Information Tech., Computer, and Electrical Engineering (ICITACEE), Semarang, IEEE, 2016, pp. 297-301.

Eliyen K., & Efendi F.S,”Implementasi Metode Weighted Product untuk Penentuan Mustahiq Zakat,” Vol 4(1), Jurnal Nasional Informatika Dan Teknologi Jaringan, 2019, pp. 146-150.

Supriyono H., & Sari C., P, ”Pemilihan Rumah Tinggal Menggunakan Metode Weighted Product,” Vol 1(1), Jurnal Khazanah Informatika, 2015, pp. 23-28.

Hafiz A., & Ma’mur M, “Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik dengan Pendekatan Weighted Product”, Vol 15, Jurnal Cendikia, 2018, pp. 23-28.

Ningsih E., Dedih D., & Supriyadi S, “Sistem Pendukung Keputusan Menentukan Peluang Usaha Makanan yang Tepat Menggunakan Weighted Product (WP) Berbasis Web,” Vol 9(3), Ilkom Jurnal Ilmiah, 9(3), 2017, pp. 244-254.

Ahmadi, A., & Wiyanti, D. T. “Implementasi Weighted Product ( WP ) dalam Penentuan Penerima Bantuan Langsung Masyarakat PNPM Mandiri Perdesaan,” Seminar Nasional Aplikasi Teknologi Informasi (SNATI), 2014, pp. 19–22.

Aminudin N., Shankar K., & Deepalakshmi P, “Weighted Product and Its Application to Measure Employee Performance,” International Journal of Engineering & Technology, 2018, pp. 102-108.

Oktafianto, Sudrajat A., Kangawit R. M, “Determining housing location using the weighted product,” Vol 7(4), International Journal of Engineering & Technology, 2018, pp. 3563-3568.

Budiharjo, Windarto A. P., & Muhammad A, “Comparison of Weighted Sum Model and Multi-Attribute Decision Making Weighted Product Methods in Selecting the Best Elementary School in Indonesia,” Vol 11(4), International Journal of Software Engineering and Its Applications, 2017, pp. 69-90.

Astriratma R., Santoni M. M., & Irmanda H. N, “SPK Berbasis Web Menggunakan Logika Fuzzy Untuk Diagnosa Penyakit Jantung,” Vol 12(2), Jurnal Sistem Informasi (JSI), 2020, pp. 2046-2059.

Novalia E., Na’am J., Nurcahyo G. W., & Voutama A, “Website Implementation with the Monte Carlo Method as a Media for Predicting Sales of Cashier Applications,” Vol 2(3), Jurnal Systematics, 2020, pp. 118-131.

Pangestu B. M., & Anwar S. N, “Pemodelan Sistem Pendukung Keputusan Pemberian Kredit dengan Metode AHP Berbasis Web Mobile,” Prosiding SENDI_U, 2018, pp. 295-301.




How to Cite

ardialis, Sarjon Defit, and Gunadi Widi Nurcahyo, “Decision Support System in Identification of Swallow’s Nest Quality with Weighted Product Method: Sistem Pendukung Keputusan dalam Identifikasi Kualitas Sarang Burung Walet dengan Metode Weighted Product”, Systematics Journal, vol. 3, no. 1, Sep. 2021.