ANALISIS KEPUASAN LAYANAN BIRO ADMINISTRASI AKADEMIK KEMAHASISWAAN STMIK WIDURI MENGGUNAKAN ALGORITMA NAÏVE BAYES CLASSIFIER

Authors

  • Nanda Kharisma STMIK Widuri
  • Nur Nawaningtyas Pusparini STMIK Widuri

DOI:

https://doi.org/10.33884/jif.v13i01.9427

Keywords:

Analisis, Kepuasan Layanan, algoritma naive bayes

Abstract

Higher education institutions play an important role in creating quality human resources, and one of the main factors that influence the quality of higher education is the academic services provided to students, as seen at STMIK Widuri. The Academic and Student Affairs Administration Bureau of STMIK Widuri needs to provide quick and accurate responses to ensure the quality of services is maintained. This study aims to predict the services of the  Academic and Student Affairs Administration Bureau using the Naive Bayes Classifier algorithm, which is a probability-based classification method for predicting a class. The datasets used in this study are perceptions and expectations derived from questionnaires distributed online to STMIK Widuri students, which were processed using RapidMiner through the stages of Knowledge Discovery in Database (KDD). The evaluation results show an accuracy of 95%, precision of 100%, and recall of 93.75% for the perception dataset, and an accuracy of 90%, precision of 87.50%, and recall of 87.50% for the expectation dataset. This algorithm has proven to be effective in predicting the satisfaction of services provided by the Academic and Student Affairs Administration Bureau at STMIK Widuri.

References

Sri Sundari and Arinastuti, “Analisa kepuasan mahasiswa terhadap pelayanan administrasi akademik dan kemahasiswaan,” Majalah Ilmiah dan Manajemen Bisnis, vol. 17, no. 2, Nov. 2020, Accessed: Oct. 27, 2024. [Online]. Available: https://mimb.unwiku.ac.id/index.php/mimb/article/view/95.

Fahmi Kamal, Widi Winarso, and Lia Mardiani, “Peningkatan kepuasan mahasiswa melalui kualitas pelayanan akademik (studi kasus pada fakultas keguruan dan ilmu pendidikan universitas islam as-asyafi’iyah jakarta),” Jurnal Ilmiah Akuntansi dan Manajemen, no. 1, May 2020.

Firsty Larastiyana Susanto and Ely Siswanto, “Pengaruh kualitas pelayanan biro akademik dan kemahasiswaan (BAK) terhadap kepuasan masiswa universitas trunojoyo madura,” Jurnal Ekonomi, Bisnis dan Pendidikan (JEBP), vol. 1, no. 9, Sep. 2021, doi: https://doi.org/10.17977/um066v1i92021p906-913.

Bambang Surahman, “Pengaruh Kualitas pelayanan administrasi terhadap kepuasan mahasiswa pada fakultas teknik universitas gajah putih,” Jurnal Ilmiah Ilmu Manajemen, vol. 4, no. 1, pp. 59–3, Feb. 2022, doi: https://doi.org/10.55542/juiim.v4i1.177.

Muhammad Nasir and Verawaty, “Penerapan algoritma naive bayes classifier untuk evaluasi kinerja akademik mahasiswa universitas bina darma,” Mar. 2021. doi: http://dx.doi.org/10.26798/jiko.v5i2.227.

Lilian Siliayani, Iqbal Agis Junizar, Uyu Nuraeni, Edi Tohidi, and Irfan Ali, “Penerapan algoritma naive bayes Untuk mengetahui kepuasan mahasiswa terhadap layanan administrasi keuangan,” Jurnal Ilmiah Manajemen Informatika dan Komputer, vol. 04, p. 72, Oct. 2020, Accessed: Oct. 27, 2024. [Online]. Available: http://jurnal.kopertipindonesia.or.id/.

Amat Damuri, Umbar Riyanto, Hengki Rusdianto, and Mohammad Aminudin, “Implementasi Data mining dengan algoritma naïve bayes untuk klasifikasi kelayakan penerima bantuan sembako,” JURIKOM (Jurnal Riset Komputer), vol. 8, no. 6, pp. 219–255, Dec. 2021, doi: http://dx.doi.org/10.30865/jurikom.v8i6.3655.

R. Kurniah, D. Y. Surya Putra, and E. Diana, “Penerapan data mining decission tree algoritma C4.5 untuk mengetahui tingkat kepuasan mahasiswa terhadap layanan akademik dan kemahasiswaan (studi kasus universitas.Prof.Dr. Hazairin,SH),” Infotek : Jurnal Informatika dan Teknologi, vol. 5, no. 2, pp. 316–326, Jul. 2022, doi: 10.29408/jit.v5i2.5910.

Nanda Kharisma, Susanto, and Nur Nawaningtyas Pusparini, “Analisa kinerja karyawan bagian penjualan produk electrical dan mechanical dengan metode SWOT,” Jurnal Teknik Informatika dan Terapan, vol. 2, no. 3, pp. 212–219, Aug. 2024, doi: 10.62951/router.v2i3.173.

Etty Widawati and Siswohadi, “Analisa tentang kepuasan mahasiswa terhadap pelayanan akademik dan administrasi,” Jurnal Mitra Manajemen (JJM Online), vol. 4, no. 10, Oct. 2020, doi: https://doi.org/10.52160/ejmm.v4i10.478.

Qurotul A’yuniyah, Winda Elvira, Nanda Nazira, Isnani Ambarani, Sofia Fulvi Intan, and Dian Ramadhani, “Analisa algoritma naive bayes classifier (NBC) untuk prediksi penjualan alat kesehatan,” Indonesia Journal of Informatic Research adn Software Engineering, vol. 3, no. 2, pp. 119–26, Sep. 2023, doi: https://doi.org/10.57152/ijirse.v3i2.941.

Anisa Halifa and Rice Novita, “Application of naive bayes classifier algorithm determining the level of customer satisfaction with rumbai post office sevicesa,” Jurnal Teknik Informatika (JUTIF), vol. 4, no. 6, pp. 1295–1304, Dec. 2023, doi: https://doi.org/10.52436/1.jutif.2023.4.6.1054.

Alvian David Imanuel, Nur Nawaningtyas Pusparini, and Asrul Sani, “Klasifikasi untuk memprediksi tingkat kelulusan mahasiswa STMIK Widuri menggunakan algoritma naive bayes,” Jurnal Ilmiah Informatika (JIF), vol. 12, no. 1, pp. 1–7, Mar. 2024, doi: https://doi.org/10.33884/jif.v12i01.8201.

Putri Junia Sari and Helmi Kurniawan, “Penerapan algoritma naive bayes untuk mengetahui kepuasan masyarakat terhadap layanan administrasi kantor lurah tanjung mulia hilir kecamatan medan deli,” Jurnal Rekayasa Sistem (JUREKSI), vol. 2, no. 2, pp. 540–551, May 2024, Accessed: Oct. 27, 2024. [Online]. Available: https://kti.potensi-utama.org/index.php/JUREKSI/article/view/1384.

Syafrizal, M. Afdal, and Rice Novita, “Analisis Sentimen ulasan aplikasi PLN mobile menggunakan algoritma naïve bayes classifier dan k-nearest neighbor,” MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 4, no. 1, pp. 10–19, Dec. 2023, doi: https://doi.org/10.57152/malcom.v4i1.983.

Rina Noviana and Isram Rasal, “Penerapan algoritma naive bayes dan SVM untuk analisis sentimen boy band BTS pada media sosial twitter,” Jurnal Teknik dan Science(JTS), vol. 2, no. 2, pp. 51–60, Jun. 2023, doi: https://doi.org/10.56127/jts.v2i2.791.

Tri A. Sundara, Sherly Ekaputri Arnas, and Sotar, “Naïve bayes classifier untuk analisis sentimen isu radikalisme,” 2020. Accessed: Oct. 27, 2024. [Online]. Available: http://www.seminar.iaii.or.id/index.php/SISFOTEK/article/view/159.

Samuel, Asrul Sani, Agus Budiyantara, Merliani Ivone, and Frieyadie, “Sales level analisys using the association method with the apriori algorithm,” Jurnal Riset Informatika, vol. 4, no. 4, pp. 331–340, Sep. 2022, doi: 10.34288/jri.v4i4.422.

Rudika Rahman and Felix Andreas Sutanto, “Data mining untuk memprediksi tingkat kepuasan konsumen gojek menggunakan algoritma naive bayes,” Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi, vol. 18, no. 1, pp. 8–18, Apr. 2023, doi: https://doi.org/10.35969/interkom.v18i1.280.

Published

2025-03-15

How to Cite

Kharisma, N. ., & Pusparini, N. N. . (2025). ANALISIS KEPUASAN LAYANAN BIRO ADMINISTRASI AKADEMIK KEMAHASISWAAN STMIK WIDURI MENGGUNAKAN ALGORITMA NAÏVE BAYES CLASSIFIER. JURNAL ILMIAH INFORMATIKA, 13(01), 1–7. https://doi.org/10.33884/jif.v13i01.9427