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All Journal PROtek : Jurnal Ilmiah Teknik Elektro DoubleClick : Journal of Computer and Information Technology
Vivi Rosida
STKIP Andi Matappa Pangkep
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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Algoritma Naïve Bayes untuk Prediksi Kualitas Sperma Nurlindasari Tamsir; Thabrani R; St. Amina H. Umar; Vivi Rosida
DoubleClick: Journal of Computer and Information Technology Vol 6, No 2 (2023): Perkembangan Teknologi Informasi
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/doubleclick.v6i2.14126

Abstract

Masalah infertilitas antara pasangan suami istri menjadi masalah penting yang dapat mengganggu keharmonisan rumah tangga. Faktor terbesar penyebab infertilitas bagi pria adalah masalah kualitas sperma. Penelitian ini bertujuan merancang aplikasi untuk memprediksi kualitas sperma dengan menerapkan algoritma Naive Bayes berbasis Web,. Metode Naïve Bayes digunakan dalam memprediksi resiko seseorang mengalami gangguan kesuburan. Dalam proses prediksi, teknik Laplace Correction digunakan untuk menghindari probabilitas 0 (nol) yang dapat menyebabkan Naïve Bayes Classifier tidak dapat mengklasifikasi sebuah data inputan dengan baik. Hasil penelitian menunjukkan bahwa penerapan teknik Laplace Correction pada algoritma Naïve Bayes dapat memprediksi 23 dari 25 data pengujian untuk prediksi kualitas sperma sehingga menghasilkan akurasi sebesar 92% dan nilai error rate sebesar 8% serta hasil pengujian black box menunjukan bahwa 7 (tujuh) modul yang dibuat telah berjalan dengan baik.
Analytical Hierarchy Process Algorithm for Traffic Sign Improvement Priority Nurlindasari Tamsir; Vivi Rosida; Asmah Akhriana; Indo Intan; St. Amina H.Umar
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 3 (2023): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i3.5109

Abstract

Traffic signs are part of road equipment that is very important for motorists because they can provide direction while on the highway, and if there is damage, repair or replacement must be carried out immediately because it can cause traffic accidents. Data collection for damaged traffic signs is still done using the manual method, so it takes a long time. Therefore, a web- and android-based application was designed that implements the Analytical Hierarchy Process (AHP) algorithm in determining the priority of repair or replacement of traffic signs on the route of South Sulawesi Province. As a result of this research, the public can report the type of damage and its location via Android, and then the officer processes the data so that it displays the type of damage that is a priority for repair or replacement. Implement the Analytical Hierarchy Process algorithm into the application for prioritization of traffic sign improvement using two (two) web-based and Android platforms. System design using UML produces use cases (2 actors, admin, and user) and class diagrams (15 admin classes and 4 user classes). The black box used as a test produced 40 modules, of which all were in line with expectations
Co-Authors Asmah Akhriana Indo Intan NURLINDASARI TAMSIR Nurlindasari Tamsir St. Amina H. Umar St. Amina H.Umar Thabrani R