Application of the Profile Matching Analysis Method in Decision Support Systems for Study Program Recommendations

Reza Dian Rasyada, Nurdin Nurdin, Fajriana Fajriana

Abstract


Currently, many prospective students are still confused about which study program to choose. One of the problematic factors is the lack of references from prospective students about the contents of each study program. This research aims to build a decision support system for study program recommendations using the Profile Matching Analysis method. The benefits of this research can provide final results in the form of recommended study program scores that are most suitable for prospective students. There are 5 assessment criteria used in this research, namely Language Values, Logic/IT Values, Science Values, Practice Values, and Social Values. The methods or stages carried out in this research are: data collection, system flowchart design, application of the Profile Matching Analysis method and system implementation. In this research, the recommendation results were obtained for a student with the name Afni Ruhmini based on the results of system calculations using the Profile Matching Analysis method, obtaining recommendation results for the Public Administration study program with a score = 5.3, the Marine Science study program with a score = 5.9, and the Agribusiness study program with a score = 5.6, the Physics Education study program with a score = 5.7 and the Law study program with a score = 4.8. The Profile Matching Analysis method is very suitable to be applied to solve problems in decision support system research for study program recommendations.

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References


M. Ikhlas, “Penerapan Metode Mfep (Multifactor Evaluation Process) Dalam Pengambilan Keputusan Pemilihan Bibit Kelapa Sawit Terbaik,” J. Sains dan Teknol. J. Keilmuan dan Apl. Teknol. Ind., vol. 19, no. 1, p. 16, 2019, doi: 10.36275/stsp.v19i1.128.

Nurdin and Miranda, “JURNAL INFORMATIKA Vol. 9, No. 2, Juli 2015 SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PTS DI LHOKSEUMAWE MENGGUNAKAN METODE FUZZY AHP BERBASIS WEB,” vol. 9, no. 2, pp. 1048–1056, 2015.

Nurdin and D. Astika, “Penerapan Data Mining Untuk Menganalisis Penjualan Barang dengan Menggunakan Metode Apriori pada Supermarket Sejahtera Lhoksumawe,” J. Ilm. Rekayasa dan Manaj. Sist. Inf., vol. 4, pp. 77–80, 2018.

E. Sutinah, “Sistem Pendukung Keputusan Menggunakan Metode Profile Matching dalam Pemilihan Salesman Terbaik,” Informatics Educ. Prof., vol. 2, no. 1, p. 234409, 2017.

Yusfrizal, M. Sovina, and F. A. Harahap, “Sistem Pendukung Keputusan Pemilihan Jurusan Di Perguruan Tinggi,” J. Inform. Kaputama, vol. 5, no. 2, pp. 219–227, 2021.

M. Faisal, N. Nurdin, F. Fajriana, and Z. Fitri, “Information and Communication Technology Competencies Clustering For Students For Vocational High School Students Using K-Means Clustering Algorithm,” Int. J. Eng. Sci. Inf. Technol., vol. 2, no. 3, pp. 111–120, 2022, doi: 10.52088/ijesty.v2i3.318.

Nurdin, N. Putri, M. Uci, Al-Kautsar, H. Aidilof, and Bustami, “Implementation of Fuzzy C-Means to Determine Student Satisfaction Levels in Online Learning,” Sistemasi, vol. 11, no. 1, p. 121, 2022, doi: 10.32520/stmsi.v11i1.1638.

N. Nurdin, M. Suhendri, Y. Afrilia, and R. Rizal, “Klasifikasi Karya Ilmiah Mahasiswa Menggunakan Metode Naive Bayes Classifier (Nbc),” SISTEMASI: Jurnal Sistem Informasi, vol. 10, no. 2, 268-279, 2021.

Nurdin and A. Munthoha, “Sistem Pendeteksi Kemiripan Judul Skripsi Menggunakan Algoritma Winnowing,” InfoTekJar (Jurnal Nas. Inform. dan Teknol. Jaringan), vol. 2, no. 1, pp. 90–97, 2017.

D. Mahdiana and N. Kusumawardhany, “The Combination of Analytical Hierarchy Process and Simple Multi-Attribute Rating Technique for the Selection of the Best Lecturer,” Proceeding - ICoSTA 2020 2020 Int. Conf. Smart Technol. Appl. Empower. Ind. IoT by Implement. Green Technol. Sustain. Dev., 2020, doi: 10.1109/ICoSTA48221.2020.1570615695.

F. N. Khasanah, A. E. Permanasari and S. S. Kusumawardhany, “Fuzzy MADM for major selection at senior high school,” Proceeding - International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE), 2016, doi: 10.1109/ICITACEE.2015.7437767.

H. Kurniawan, A. P. Swondo, E. P. Sari, K. Ummi, Yufrizal, and F. Agustin, “Decision Support System to Determine the Student Achievement Scholarship Recipients Using Fuzzy Multiple Attribute Decision Making (FMADM) with SAW,” 2019 7th Int. Conf. Cyber IT Serv. Manag. CITSM 2019, pp. 3–8, 2019, doi: 10.1109/CITSM47753.2019.8965326.

D. Y. H. Tanjung and R. Adawiyah, “Optimizing Selection of Decision Support System with Fuzzy Simple Additive Weighting,” 2018 6th Int. Conf. Cyber IT Serv. Manag. CITSM 2018, no. Citsm, pp. 1–4, 2019, doi: 10.1109/CITSM.2018.8674360.

H. Kurniawan, A. P Swondo, E. Purnama Sari, K. Ummi, M. Rusdi Tanjung, and Yusfrizal, “Analysis and Comparative between Profile Matching and SAW Method in Decision Support,” 2020 8th Int. Conf. Cyber IT Serv. Manag. CITSM 2020, 2020, doi: 10.1109/CITSM50537.2020.9268857.

A. S. Damayanti, A. P. Wibawa, U. Pujianto, and A. Nafalski, “The Use of Adaptive Neuro Fuzzy Inference System in Determining Students’ Suitable High School Major,” 2018 4th Int. Conf. Educ. Technol. ICET 2018, pp. 1–4, 2018, doi: 10.1109/ICEAT.2018.8693933.

A. Rusmardiana, T. Y. Akhirina, D. Yulistyanti, and U. Pauziah, “A Web-Based High School Major Decision Support System in Banten Using Tsukamoto’s Fuzzy Method,” Proceeding - 2018 Int. Semin. Intell. Technol. Its Appl. ISITIA 2018, pp. 233–238, 2018, doi: 10.1109/ISITIA.2018.8711337.

P. Subarkah, A. N. Ikhsan, and A. Setyanto, “The effect of the number of attributes on the selection of study program using classification and regression trees algorithms,” Proc. - 2018 3rd Int. Conf. Inf. Technol. Inf. Syst. Electr. Eng. ICITISEE 2018, pp. 1–5, 2018, doi: 10.1109/ICITISEE.2018.8721030.

U. Pujianto, W. Agung Prasetyo, and A. Rakhmat Taufani, “Students Academic Performance Prediction with k-Nearest Neighbor and C4.5 on SMOTE-balanced data,” 2020 3rd Int. Semin. Res. Inf. Technol. Intell. Syst. ISRITI 2020, pp. 348–353, 2020, doi: 10.1109/ISRITI51436.2020.9315439.

Z. Abidin, I. G. Anugrah, and R. P. Setyono, “Maksimalisasi Penggunaan Metode Profile Matching dalam Menentukan Kandidat Terbaik,” J. Inform. Univ. Pamulang, vol. 4, no. 3, p. 95, 2019, doi: 10.32493/informatika.v4i3.3249.

Diana, Metode & Aplikasi Sistem Pendukung Keputusan. Palembang: Deepublish Publisher, 2018.

M. Alfaiz and D. Wismarini, “Penggunaan Metode Fuzzy Saw (Simple Additive Weighting) Dalam Sistem Pendukung Keputusan Penentuan Bonus Karyawan (Studi Kasus : Cv. Nugraha Citra Dirgahayu Semarang),” Proceeding SINTAK 2019, pp. 537–544, 2019.




DOI: https://doi.org/10.32520/stmsi.v13i1.3161

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