The Implementation of SAW and BORDA Method to Determine the Eligibility of Students’ Final Project Topic

Dwiny Meidelfi - Department of Information Technology, Politeknik Negeri Padang, Limau Manis, Padang, 25164, Indonesia
- Yulherniwati - Department of Information Technology, Politeknik Negeri Padang, Limau Manis, Padang, 25164, Indonesia
Fanni Sukma - Department of Information Technology, Politeknik Negeri Padang, Limau Manis, Padang, 25164, Indonesia
Dikky Chandra - Department of Electronics Engineering, Politeknik Negeri Padang, Limau Manis, Padang, 25164, Indonesia
Anna Jonas - Department of Information of Technology, Universitas Ahmad Dahlan, Yogyakarta, Indonesia


Citation Format:



DOI: http://dx.doi.org/10.30630/joiv.5.1.447

Abstract


The fourth-year students of Bachelor of Applied Studies (BAS) Software Engineering Technology Department of Information Technology (IT) Politeknik Negeri Padang (PNP) are required to work on the Final Project Proposal to the Coordinator, to deliver to the expertise group team to assess the eligibility of the topic. The expertise teams consist of the same skill family. The assessment criteria include originality, novelty, target and topic contribution, methodology, and similarity. Therefore, a system to support group decisions is highly needed to get eligibility for the topic. In a pandemic like today, indoor gatherings are severely restricted. The work from home policy also limits the movement of the team to gather together so that the expert team who would judge cannot conduct a meeting to determine the feasibility of the final project topic optimally. The existence of a subjective assessment of a particular topic requires discussion from the team. The simple Additive Weighting (SAW) method was used to rank the final project proposal, and BORDA method was used to Accumulate the assessment score of the expert team. The research revealed the recommendation on students’ final topics. Testing is done by testing the sensitivity of the criteria used in a decision maker's preference. The final result of this research is a recommendation of a final project that is feasible to be implemented by students and recommendation for sensitive assessment criteria. From the ten topics of the final project that were assessed, seven topics could be accepted. The sensitivity test results showed that the weight with criterion 1 and criterion 4 significantly affect the assessment results.

Keywords


SAW; BORDA; Final Project; Software Engineering Technology; Politeknik Negeri Padang.

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References


Direktur Politeknik Negeri Padang, Peraturan Akademik PNP 2018. 2018.

D. Meidelfi, “Penerapan Metode SAW (Simple Additive Weighting) Dalam Pendukung Keputusan Pemilihan Kepala Daerah,” SAINSTEK, vol. XII, no. 2, pp. 180–183, 2015.

H. Wang, Y. Cai, Q. Tan, and Y. Zeng, “Evaluation of groundwater remediation technologies based on fuzzy multi-criteria decision analysis approaches,” Water (Switzerland), 2017, doi: 10.3390/w9060443.

K. E. Cheng and F. P. Deek, “Voting methods and information exchange in group support systems,” 2006.

D. N. Ilham and S. Mulyana, “Sistem Pendukung Keputusan Kelompok Pemilihan Tempat PKL mahasiswa dengan Menggunakan Metode AHP dan Borda,” IJCCS (Indonesian J. Comput. Cybern. Syst., 2017, doi: 10.22146/ijccs.16595.

P. M. da Rocha, A. P. de Barros, G. B. da Silva, and H. G. Costa, “Analysis of the operational performance of brazilian airport terminals: A multicriteria approach with De Borda-AHP integration,” J. Air Transp. Manag., 2016, doi: 10.1016/j.jairtraman.2015.11.003.

I. Septiana, M. Irfan, A. R. Atmadja, and B. Subaeki, “Sistem Pendukung Keputusan Penentu Dosen Penguji Dan Pembimbing Tugas Akhir Menggunakan Fuzzy Multiple Attribute Decision Making dengan Simple Additive Weighting (Studi Kasus: Jurusan Teknik Informatika UIN SGD Bandung),” J. Online Inform., 2016, doi: 10.15575/join.v1i1.10.

I. Laengge, H. F. Wowor, and M. D. Putro, “Sistem Pendukung Keputusan Dalam Menentukan Dosen Pembimbing Skripsi,” J. Tek. Inform., 2016, doi: 10.35793/jti.9.1.2016.13776.

A. Tirtana, “Sistem Pendukung Keputusan Kelompok Untuk Menentukan Penerima AGC Award Menggunakan Metode Simple Additive Weighting dan Borda,” J. Inform. J. Pengemb. IT, 2019, doi: 10.30591/jpit.v4i1.1062.

E. Satriani, Ilhamsyah, and R. Puspita Sari, “Sistem Pendukung Keputusan Kelompok Penerima Zakat Program Pendidikan Dengan Metode Saw Dan Borda,” J. Komput. dan Apl., 2019.

R. Sari, I. Istikoma, and F. Supriadi, “The Comparison of SAW BORDA and TOPSIS BORDA Methods In the Zakat Recipient Determination System Education programs (Case Study: BAZNAS, West Kalimantan Province),” 2020, doi: 10.4108/eai.11-12-2019.2290862.

M. Syaukani and S. Hartati, “Pemodelan Sistem Pendukung Keputusan Kelompok untuk Diagnosa Penyakit Pneumonia Dengan Fuzzy Linguistic Quantifier dan AHP,” J. Ilmu Komput., 2012.

E. Turban, J. Aronson, and T. Llang, Decision Support Systems and Intelligent Systems. 2003.

J. C. Hershauer, “The New Science of Management Decision.,” Acad. Manag. Rev., 1978, doi: 10.5465/amr.1978.4297098.

T. F. A. Aziz, S. Sulistiyono, H. Harsiti, A. Setyawan, A. Suhendar, and T. A. Munandar, “Group decision support system for employee performance evaluation using combined simple additive weighting and Borda,” 2020, doi: 10.1088/1757-899X/830/3/032014.

N. Setiawan et al., “Simple additive weighting as decision support system for determining employees salary,” Int. J. Eng. Technol., 2018.

R. Ali, M. Nikolic, and A. Zahra, “Personnel selection using group fuzzy AHP and SAW methods,” J. Eng. Manag. Compet., 2017, doi: 10.5937/jemc1701003a.

S. H. Kusumadewi, “Fuzzy Multi-Attribute Decision Making (Fuzzy MADM),” Graha Ilmu Yogyakarta, 2006.

I. Kaliszewski and D. Podkopaev, “Simple additive weighting - A metamodel for multiple criteria decision analysis methods,” Expert Syst. Appl., 2016, doi: 10.1016/j.eswa.2016.01.042.

S. H. Sahir, R. Rosmawati, and K. Minan, “Simple Additive Weighting Method to Determining Employee Salary Increase Rate,” IJSRST, 2017.

M. Dwiny and H. Sri, “Aplikasi Sistem Pendukung Keputusan Kelompok untuk Pemilihan Tanaman Pertanian Lahan Kering,” Bimipa, 2013.

W. W. Wu, “Beyond Travel & Tourism competitiveness ranking using DEA, GST, ANN and Borda count,” Expert Syst. Appl., 2011, doi: 10.1016/j.eswa.2011.04.096.

S. Kusumadewi and S. Hartati, “Sensitivity analysis of multi-attribute decision making methods in clinical group decision support system,” 2007, doi: 10.1109/ICIAS.2007.4658395.

A. Alinezhad, A. Amini, and A. Alinezhad, “Sensitivity analysis of simple additive weighting method (SAW): the results of change in the weight of one attribute on the final ranking of alternatives,” J. Ind. Eng., 2009.

W. Yusnaeni and R. Ningsih, “Uji Sensitifitas Metode TOPSIS, SAW dan WP Untuk Menentukan Pemilihan Supplier,” Snit 2018, 2018.




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JOIV : International Journal on Informatics Visualization
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