Sistem Pakar Diagnosa Dampak Penggunaan Eyelash Extension Menggunakan Metode Naïve Bayes

Authors

  • Sandy Syaputra Universitas Dehasen Bengkulu
  • Lena Elfianty Universitas Dehasen Bengkulu
  • Rizka Tri Alinse Universitas Dehasen Bengkulu

DOI:

https://doi.org/10.54367/means.v8i1.2657

Keywords:

Expert System, Impact of Using Eyelash Extension, Naive Bayes Method

Abstract

SS Beauty Bar is a beauty salon that offers many treatments, namely, nail art, eyebrow embroidery, lip embroidery, eyelash extension, facial, bb glow, lash lift, massage, SPA, menicure, pedicure, etc. One of the current treatments that are popular with women is to decorate the eyes by adding eyelashes or better known as eyelash extensions. Eyelash extension is the process of connecting artificial eyelashes with real eyelashes. An expert system for diagnosing the impact of using eyelash extensions at SS Beauty Bengkulu City was created to help diagnose the impact of using eyelash extensions based on the symptoms felt by the customer. The expert system for diagnosing the impact of using eyelash extensions at SS Beauty Bengkulu City has implemented the Naive Bayes method which is used to obtain a percentage level of the impact of using eyelash extensions and provide recommended solutions for customers. The expert system for diagnosing the impact of using eyelash extensions on SS Beauty in Bengkulu City was created using the Visual Basic.Net programming language. The expert system for diagnosing the impact of using eyelash extensions at SS Beauty Bengkulu City can provide information on the results of consultations in determining the impact of using eyelash extensions based on the symptoms that have been selected. Based on the results of the tests that have been carried out, the functionality of the expert system for diagnosing the impact of using eyelash extensions at SS Beauty Bengkulu City has gone well as expected.

References

Belilana, 2018. Sistem Pakar Diagnosis Pecandu Narkoba Menggunakan Algoritma Forward Chaining. s.l., Konferensi Nasional Siste Informasi.

Blazing, A., 2018. Pemrograman Windows Dengan Visual Basic .Net : Praktikum Pemrograman VB.Net. s.l.:Google Book.

Fadhilah, F., Andryana, S. & Gunaryati, A., 2020. Penerapan Metode Naive Bayes Pada Aplikasi Sistem Pakar Untuk Diagnosa Penyakit Kulit Pada Kucing. Jurnal Infomedia, Volume Vol.5 No.1 e-ISSN:2548-1180.

Firman, A., 2019. Analisis dan Perancangan Sistem Informasi. Surabaya: Penerbit Qiara Media.

Hari, T. R. S. & Sumijan, 2021. Sistem Pakar Dengan Menggunakan Metode Naive Bayes Dalam Mengidentifikasi Penyakit Karies Pada Gigi Manusia. Jurnal Sistem Informasi dan Teknologi, Volume Vol.3 No.4 e-ISSN:2686-3154.

Hermanto & Jollyta, D., 2020. Penerapan Naive Bayes Pada Sistem Pakar Diagnosa Gangguan Pencernaan Balita. Jurnal Mahasiswa Aplikasi Teknologi Komputer dan Informasi, Volume Vol.2 No.2 e-ISSN:2685-6565.

Indrajani, 2018. Database Design Theory, Practice, and Case Study. Jakarta: PT. Elex Media Komputindo.

Kadarsih & Pujianto, D., 2022. Step By Step Belajar Database MySQL Untuk Pemula. Tangerang Selatan: Pascal Books.

Nugroho, F. A., Solikin, A. F., Anggraini, M. D. & Kusrini, 2021. Sistem Pakar Diagnosa Virus Corona Dengan Metode Naive Bayes. Jurnal TIKomSiN, Volume Vol.9 No.1 ISSN:2338-4018.

Suprapto, U., 2021. Pemodelan Perangkat Lunak (C3) Kompentesi Keahlian : Rekayasa Perangkat Lunak Untuk SMK/MAK Kelas XI. Jakarta: Grasindo.

Yendrianof, D. et al., 2022. Analisis dan Perancangan Sistem Informasi. Medan: Yayasan Kita Menulis.

Yuliyana & Sinaga, A. S. R. M., 2019. Sistem Pakar Diagnosa Penyakit Gigi Menggunakan Metode Naive Bayes. Fountain Of Informatics Journal, Volume Vol.4 No.1 ISSN. 2541-4313.

Published

2023-06-07

How to Cite

Syaputra, S. ., Elfianty, L., & Alinse, R. T. . (2023). Sistem Pakar Diagnosa Dampak Penggunaan Eyelash Extension Menggunakan Metode Naïve Bayes. MEANS (Media Informasi Analisa Dan Sistem), 8(1), 88–93. https://doi.org/10.54367/means.v8i1.2657

Issue

Section

Daftar Artikel

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.