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Abstract
In the preparation of the thesis, students need a supervisor as a place of consultation in completing the thesis. The supervisor should be a person who mastered the field in accordance with the topic of student thesis, so that the guidance process can run optimally. Thesis is one of the graduation requirements to obtain a bachelor's degree. Generally, the selection of thesis supervisors is decided by the study program through a meeting of lecturers to determine which lecturers are in accordance with the title and description of the students who took the thesis course. To solve this problem, a solution is needed that can take into account the specifications of lecturer expertise that suits the needs of students. The Entropy method is an alternative to solve this problem. This method was chosen because it is able to select the best alternatives from a number of alternatives, in this case the intended alternative is to be a supervisor and examiner based on the specified criteria. Research is carried out by looking for the weight value for each attribute, then a casting process is carried out that will determine the optimal alternative, namely the four lecturers whose specification values are highest.
Keyword: Decision Support System, Entropy, ThesisKeywords
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Copyright (c) 2023 Halimatun Nisa, Fitrahuda Aulia, Annisa Rayhan

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References
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References
Putri, R. A. N., Supianto, A. A., & Purnomo, W. “Sistem Pendukung Keputusan untuk Penentuan Dosen Pembimbing Skripsi menggunakan Algoritme Winnowing-Weighted Product”, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer. 3(9), hal. 9132-9138, 2019.
Niska, D. Y., Wulandari, S., & Sari, N. M. “Sistem Pendukung Keputusan untuk Menentukan Menu Makanan Sehat dengan Metode Simple Additive Weighting”, Jurnal Teknik Dan Informatika, 5(2), hal. 1-5, 2018.
Wahyuni, S., Niska, D. Y., & Hariyanto, E. “Sistem Pendukung Keputusan Penentuan Siswa Berprestasi Menggunakan Metode TOPSIS pada SMA Sinar Husni”, Teknik Dan Informatika, 6(1), hal. 46–51, 2019.
Harahap, A. S., Tulus, T., & Budhiarti, E. “Penerapan metode entropy dan metode promethee dalam merangking kualitas getah karet”, Pelita Informatika: Informasi dan Informatika, 6(1), hal. 13-18, 2017.
Meiriza, Allsela. Ruskan, E. L. Zulfahmi, Rido. “Implementasi Metode Entropy dan Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) dalam Pemilihan Biro Perjalanan Umroh”, Teknomatika, 9(1), hal. 77-90, 2019.
Iwan Laengge, Hans F. Wowor, Muhamad D. Putro. “Sistem Pendukung Keputusan Dalam Menentukan Dosen Pembimbing Skripsi”, E-journal Teknik Informatika, 9(1), hal 1-7, 2016.
Septiana, I., Irfan, M., Atmadja, A. R., & Subaeki, B. “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)”, Jurnal Online Informatika, 1(1), hal. 43-50, 2016.
Nduru, Radius Kharisman & Utmo, Dito Putro. “Sistem Pendukung Keputusan Penilaian Kinerja Generik Anggota Polri Di Polda Sumatera Utara Menggunakan Metode MABAC & Entropy”, KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer). 4(1), hal. 303-310, 2020.
Kirana, C. A. D., & Harahap, A. S. “Pendukung Keputusan dalam Penilaian Pegawai Pemerintah Non Pegawai Negeri menggunakan Metode Entropy”, JURIKOM (Jurnal Riset Komputer), 9(1), hal. 159-166, 2022.
Abdullah, A., & Pangestika, M. W. “Perancangan Sistem Pendukung Keputusan Dalam Pemilihan Dosen Pembimbing Skripsi Berdasarkan Minat Mahasiswa dengan Metode AHP (Analytical Hierarchy Process) di Universitas Muhammadiyah Pontianak”, JEPIN (Jurnal Edukasi dan Penelitian Informatika), 4(2), hal. 184-191, 2018.