Pemilihan Dosen Penguji Skripsi Menggunakan Metode ARAS, COPRAS dan WASPAS

Juniar Hutagalung(1*), Mentari Tri Indah R(2)

(1) STMIK TRIGUNA DHARMA
(2) STMIK TRIGUNA DHARMA
(*) Corresponding Author

Abstract


Penentuan dosen penguji skripsi dalam penelitian ini menggunakan metode ARAS, COPRAS dan WASPAS dengan 5  kriteria : masa kerja, fungsional, kompetensi, pendidikan dan tugas belajar serta ada 20 data alternatif. Penunjukan dosen penguji skripsi di STMIK Triguna Dharma, saat ini dilakukan masih secara langsung dan manual serta adakalanya mengesampingkan jumlah mahasiswa yang akan diuji sehingga kurang seimbang jumlahnya untuk setiap dosen. Masih ada ditemukan keputusan yang kurang optimal saat penunjukan dosen yang tidak sesuai dengan tema skripsi mahasiswa sehingga nilai kualitas karya ilmiah menurun. Untuk itu diperlukan sistem yang berguna dalam penentuan calon dosen penguji, agar sesuai dengan kompetensi calon dosen penguji dan tidak terlalu banyak jumlah mahasiswa yang akan diuji agar lebih fokus. Perbandingan metode dalam penelitian ini dengan melakukan perangkingan supaya diperoleh alternatif secara optimal dan objektif diawali dengan penentuan bobot dari setiap kriteria, hasil ranking diurutkan dari nilai yang tertinggi agar pemilihan dosen penguji mudah ditentukan dan sebagai alat rekomendasi bagi pihak pengambil keputusan. Untuk mendapatkan pilihan terbaik metode ARAS menggunakan nilai utilitas (Ki) tertinggi, metode COPRAS didasarkan pada skor penilaian utilitas quantitatif (Ui) tertinggi dan metode WASPAS menggunakan nilai preferensi (Qi) tertinggi untuk mendapatkan pilihan terbaik. Alternatif terbaik dengan metode ARAS menghasilkan (A6=0,9385) selanjutnya A5, A19, A3, A11, A14, A16, A18, A10, A4, A17, A9 layak untuk direkomendasi. Metode COPRAS menghasilkan (A6=100) dan metode WASPAS menghasilkan (A6=0,7083)

Keywords


ARAS, COPRAS, DSS, Penguji, WASPAS

Full Text:

PDF

References


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., vol. 1, no. 1, p. 43, 2016. https://doi.org/10.15575/join.v1i1.10.

K. B. Utomo and A. Rizal, “Penguji Tugas Akhir Dengan Menggunakan Metode Analytical Hierarchy Process ( AHP ),” Just Ti, vol. 8, no. 1, pp. 979–986, 2016.

R. R. A. Siregar, F. A. Sinaga, and R. Arianto, “Aplikasi Penentuan Dosen Penguji Skripsi Menggunakan Metode TF-IDF dan Vector Space Model,” Comput. J. Comput. Sci. Inf. Syst., vol. 1, no. 2, p. 171, 2017.

F. Pristiwati and A. Tomi, “Sistem Pendukung Keputusan dengan Metode WASPAS, COPRAS, dan EDAS : Menentukan Judul Skripsi,” vol. 4, p. 56, 2020. https://doi.org/10.30865/mib.v4i4.2431.

V. Amalia, D. Syamsuar, and L. Atika, “Komparasi Metode WP SAW dan WASPAS Dalam Penentuan Penerima Beasiswa Penelusuran Minat dan Kemampuan,” J. Inform., vol. 6, no. 1, pp. 114–121, 2019. http://ejournal.bsi.ac.id/ejurnal/index.php/ji/article/view/5511.

A. Jayant, S. Singh, and S. K. Garg, “An integrated approach with MOORA, SWARA, and WASPAS methods for selection of 3PLSP,” Proc. Int. Conf. Ind. Eng. Oper. Manag., vol. 2018, no. JUL, pp. 2497–2509, 2018.

A. Mardani et al., “A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments,” Appl. Soft Comput. J., vol. 57, pp. 265–292, 2017. https://doi.org/10.1016/j.asoc.2017.03.045.

D. Karabasevic, D. Stanujkic, and S. Urosevic, “The MCDM Model for Personnel Selection Based on SWARA and ARAS Methods,” Manag. - J. theory Pract. Manag., vol. 20, no. 77, pp. 43–52, 2015. DOI: 10.7595/management.fon.2015.0029

K. A. Alam, R. Ahmed, F. S. Butt, S.-G. Kim, and K.-M. Ko, “An Uncertainty-aware Integrated Fuzzy AHP-WASPAS Model to Evaluate Public Cloud Computing Services,” Procedia Computer Science, vol. 130, pp. 504–509, 2018, doi: 10.1016/j.procs.2018.04.068.

Özbek, A., & Erol, E., “Ranking of Factoring Companies in Accordance with ARAS and COPRAS Methods,” International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(2), pp. 105-116. 2017.

E. Turanoglu Bekar, M. Cakmakci, and C. Kahraman, “Fuzzy COPRAS method for performance measurement in total productive maintenance: a comparative analysis,” Journal of Business Economics and Management, vol. 17, no. 5, pp. 663–684, 2016.

Z. Turskis, N. Goranin, A. Nurusheva, and S. Boranbayev, “A fuzzy WASPAS-based approach to determine critical information infrastructures of EU sustainable development,” Sustain., vol. 11, no. 2, 2019. doi: 10.3390/su11020424.

R. P. Setyono and R. Sarno, "Comparative Method of Moora and Copras Based on Weighting of the Best Worst Method in Supplier Selection at ABC Mining Companies in Indonesia," 2019 International Conference on Information and Communications Technology (ICOIACT), Yogyakarta, Indonesia, 2019, pp. 354-359, doi: 10.1109/ICOIACT46704.2019.8938520.

A. Mardani, M. K. Saraji, A. R. Mishra, and P. Rani, “A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak,” Appl. Soft Comput. J., vol. 96, p. 106613, 2020. https://doi.org/10.1016/j.asoc.2020.106613.

Anas, “Sistem Pendukung Keputusan Penilaian Desa Terbaik Menggunakan Additive Ratio Assesment (ARAS),” J. Sist. Inf. Dan Tek. Komput., vol. 4, no. 1, pp. 32–39, 2019.

A. A. Suryani and D. Ernawati, “Pemilihan Mitra Kerja Pemanfaatan Limbah Jonjot Menggunakan Metode Aras (Additive Ratio Assessment) Di Perum Xyz,” Juminten J. Manaj. Ind. dan Teknol., vol. 01, no. 04, pp. 37–48, 2020.

Rostamzadeh, R. E., A., et all., “A Fuzzy Aras Method for Supply Chain Management Performance Measurement in SMEs under Uncertainty”, Transformations in Business & Economics, Vol. 16, No 2A (41A), pp.319-348. 2017.

S. Koçak, A. Kazaz, and S. Ulubeyli, “Subcontractor selection with additive ratio assessment method,” Journal of Construction Engineering, Management & Innovation, vol. 1, no. 1, pp. 18–32, Mar. 2018.

D. M. Midyanti, R. Hidyati, S. Bahri, and U. T. Pontianak, “Rumah Di Kota Pontianak,” vol. 4, no. 2, pp. 119–124, 2019.

S. K. Dirjen et al., “Terakreditasi SINTA Peringkat 2 Komparasi Metode ELECTRE, SMART dan ARAS Dalam Penentuan Prioritas RENAKSI Pasca Bencana Alam,” Masa Berlaku Mulai, vol. 1, no. 3, pp. 109–116, 2017.

H. Garg and R. Arora, “Algorithms Based on COPRAS and Aggregation Operators with New Information Measures for Possibility Intuitionistic Fuzzy Soft Decision-Making,” Math. Probl. Eng., vol. 2020, 2020.

Esra; and AyĢegül, “Air Conditioner Selection Problem With Copras And Aras Methods,” Manas J. Soc. Stud., vol. 5, no. 2, 2016.

H. Garg and Nancy, “Algorithms for possibility linguistic single-valued neutrosophic decision-making based on COPRAS and aggregation operators with new information measures,” Measurement, vol. 138, pp. 278–290, 2019.

X. Peng and J. Dai, “Hesitant fuzzy soft decision making methods based on WASPAS, MABAC and COPRAS with combined weights,” Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1313–1325, 2017.

Y. Zheng, Z. Xu, Y. He, and H. Liao, “Severity assessment of chronic obstructive pulmonary disease based on hesitant fuzzy linguistic COPRAS method,” Applied Soft Computing, vol. 69, pp. 60–71, 2018.

Mishra, A.R., Rani, P. & Pardasani, K.R. Multiple-criteria decision-making for service quality selection based on Shapley COPRAS method under hesitant fuzzy sets. Granul. Comput. 4, 435–449 (2019). https://doi.org/10.1007/s41066-018-0103-8.

G. Ginting, S. Alvita, Mesran, A. Karim, M. Syahrizal, and N. K. Daulay, “Penerapan Complex Proportional Assessment ( COPRAS ) Dalam Penentuan Kepolisian Sektor Terbaik,” J. Sains Komput. Inform., vol. 4, no. 2, pp. 616–631, 2020.

E. K. Zavadskas, R. Baušys, and M. Lazauskas, “Sustainable assessment of alternative sites for the construction of awaste incineration plant by applying WASPAS method with single-valued neutrosophic set,” Sustain., vol. 7, no. 12, 2015.

M. Mathew and S. Sahu, “Comparison of new multi-criteria decision making methods for material handling equipment selection,” Manag. Sci. Lett., vol. 8, no. 3, pp. 139–150, 2018.

E. K. Zavadskas, D. Kalibatas, and D. Kalibatiene, “A multi-attribute assessment using WASPAS for choosing an optimal indoor environment,” Arch. Civ. Mech. Eng., vol. 16, no. 1, pp. 76–85, 2016. doi: 10.1016/j.acme.2015.10.002.

A. R. Mishra, P. Rani, K. R. Pardasani, and A. Mardani, “A novel hesitant fuzzy WASPAS method for assessment of green supplier problem based on exponential information measures,” Journal of Cleaner Production, vol. 238, p. 117901, Nov. 2019, doi: 10.1016/j.jclepro.2019.117901.

S. Gupta, U. Soni, and G. Kumar, “Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry,” Computers & Industrial Engineering, vol. 136, pp. 663–680, Oct. 2019, doi: 10.1016/j.cie.2019.07.038.

Z. Turskis, N. Goranin, A. Nurusheva, and S. Boranbayev, “A Fuzzy WASPAS-Based Approach to Determine Critical Information Infrastructures of EU Sustainable Development,” Sustainability, vol. 11, no. 2, p. 424, Jan. 2019, doi: 10.3390/su11020424.

R. Sistem, “Jurnal Resti,” vol. 1, no. 1, pp. 19–25, 2017. http://jurnal.iaii.or.id/index.php/RESTI/article/view/2094.




DOI: https://doi.org/10.32736/sisfokom.v10i3.1240

Refbacks

  • There are currently no refbacks.


Indexed By:

 


Creative Commons License
Jurnal Sisfokom (Sistem Informasi dan Komputer) has ISSN 2301-7988 and e-ISSN 2581-0588 which is published by Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) ISB Atma Luhur under a Creative Commons Attribution-ShareAlike 4.0 International License.
Web Analytics Made Easy - StatCounter