IMPLEMENTASI AHP-TOPSIS DAN NAÏVE BAYES DALAM SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BIMBINGAN KONSELING SISWA

Authors

  • Anak Agung Sandatya Widhiyanti Universitas Pendidikan Ganesha
  • I Made Candiasa Universitas Pendidikan Ganesha
  • Kadek Yota Ernanda Aryanto Universitas Pendidikan Ganesha

DOI:

https://doi.org/10.31598/sintechjournal.v4i2.731

Keywords:

Counseling Guidance Service, Decision Support System, Analytical Hierarchy Process, AHP, Technique For Order Preference by Similarity to Ideal Solution, TOPSIS, Naïve Bayes Classifier

Abstract

Student development cannot be separated from the influence of the surrounding environment, be it physical, psychological, and social. The inherent nature of the environment is change, if change is difficult to predict, it will create behavioral gaps from students. For example, problems that are often experienced by students are difficulties in increasing grades so that the scores are relatively low, the level of class attendance is minimal, the learning environment in the classroom whether it supports students to be able to participate in learning activities or not, violations of school rules, and so on. The purpose of this study is to help provide decision recommendations for students who will be given priority in counseling guidance and counseling services. The method used for calculations on the SPK is a combination of AHP-TOPSIS and Naïve Bayes Classifier. AHP is used to find the weight value of each criterion, TOPSIS is used in the ranking process while Naïve Bayes is used to determine counseling services. The results of this study are in the form of a decision support system, which can facilitate the decision-making process, and can provide recommendations for students who are prioritized for counseling and counseling services

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References

A. Chamid, S. Pd, K. Khotimah, and S. Pd, “Identifikasi Kebutuhan dan Masalah Siswa,” no.

D. D. E. Turban, R. Sharda, Decision Support and Business Intelligence Systems. 2011.

A. H. Arief Kelik Nugroho, Ipung Permadi, “Sistem Pendukung Keputusan

Perekomendasian Oli Menggunakan Fuzzy MADM,” J. Nas. Pendidik. Tek. Inform., vol. 9,

pp. 63–72, 2020.

Tati Mardiana, “Sistem Pendukung Keputusan Penerimaan Asisten Laboratorium

Komputer Menggunakan Metode Ahp-Topsis,” J. Ilmu Pengetah. Dan Teknol. Komput.,

vol. 3, pp. 159–166, 2018.

H. K. Saputra, “Analisis Data Mining Untuk Pemetaan Mahasiswa Yang Membutuhkan

Bimbingan Dan Konseling Menggunakan Algoritma Naïve Bayes Classifier,” J. Teknol. Inf.

dan Pendidik., vol. 11, no. 1, pp. 14–26, 2018, doi: 10.24036/tip.v11i1.104.

Juliyanti, “Pemilihan Guru Berprestasi Menggunakan Metode Ahp Dan Topsis,” Pros.

Semin. Nas. Penelit. Pandidikan dan Penerapan MIPA Fak. MIPA Univ. Negeri Yogyakarta,

pp. 63–68, 2011.

N. D. Prayoga, N. Hidayat, and R. K. Dewi, “Sistem Diagnosis Penyakit Hati Menggunakan

Metode Naïve Bayes,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 8, pp. 2666–

, 2018.

G. S. Mahendra and K. Y. Ernanda Aryanto, “SPK Penentuan Lokasi ATM Menggunakan Metode AHP dan SAW,” J. Nas. Teknol. dan Sist. Inf., vol. 5, no. 1, pp. 49–56, 2019, doi: 10.25077/teknosi.v5i1.2019.49-56.

D. Nofriansyah, Konsep Data Mining Vs Sistem Pendukung Keputusan. Deepublish, 2014.

S. Rifa Nurafifah Syabaniah, Andi Riyanto, Eva Marsusanti, “PEMILIHAN KRIM WAJAH TERBAIK YANG MENGANDUNG CERAMIDE MENGGUNAKAN METODE TOPSIS,” SINTECH (Science Inf. Technol. J., vol. 3, no. 2, pp. 100–109, 2020, doi: https://doi.org/10.31598.

A. A. S. Widhiyanti, “Penerapan Metode AHP-TOPSIS dan Naive Bayes Classifier dalam Sistem Pendukung Keputusan Pemberian Bimbingan Konseling Siswa di SMAN 5 Denpasar,” Universitas Pendidikan Ganesha, 2021.

R. D. Annisa Paramitha Fadillah, Rani Puspita Dhaniawaty, “SISTEM PEDUKUNG KEPUTUSAN KELAYAKAN DIKLAT KEPEGAWAIAN DENGAN MENGGUNAKAN ANALYTIC HIERARCHY PROCESS,” SINTECH (Science Inf. Technol. J., vol. 3, no. 2, pp. 130–136, 2020, doi: https://doi.org/10.31598.

T. W. U. Imelya Susianti, Sri Soerya Ningsih, M. Al Haris, “ANALISIS SENTIMEN PADA TWITTER TERKAIT NEW NORMAL DENGAN METODE NAÏVE BAYES CLASSIFIER,” in Prosiding Seminar Edusainstech FMIPA UNIMUS, 2020, pp. 354–363.

J. P. J. Han, M. Kamber, Data Mining: Concepts and Techniques. 2012.

S. Tri A. Sundara, Sherly Ekaputri Arnas, “Naïve Bayes Classifier untuk Analisis Sentimen Isu Radikalisme,” in Prosiding Seminar Nasional Sistem Informasi dan Teknologi (SISFOTEK), 2020, pp. 93–98.

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Published

2021-10-28

How to Cite

[1]
A. A. S. Widhiyanti, I. M. Candiasa, and K. Y. E. . Aryanto, “IMPLEMENTASI AHP-TOPSIS DAN NAÏVE BAYES DALAM SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BIMBINGAN KONSELING SISWA”, SINTECH Journal, vol. 4, no. 2, pp. 129-138, Oct. 2021.