Article Per Year (5 Year)
p-Index From 2020 - 2025
2.884
P-Index
This Author published in this journals
All Journal Riau Journal of Computer Science IJISTECH (International Journal Of Information System & Technology) Informatika IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika sudo Jurnal Teknik Informatika Jurnal Economica: Media Komunikasi ISEI Riau Jurnal Bisnis Kompetitif RJOCS (Riau Journal of Computer Science)
Sabri, Khairul
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Library & Information Science Social Sciences Other

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Informatika

 1 
Implementasi Data Mining Untuk Menentukan Kelayakan Penerimaan Bedah Rumah Menggunakan Algoritma K-Means Fakultas Ilmu Komputer Universitas Pasir Pengaraian Dona, Dona; Sabri, Khairul; Yasdomi, Kiki; Rifqi, Mi’rajul; Yuliansyah, Chandra; Susmita, Afnes
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7828

Abstract

The house renovation program is a government program, namely the Public Housing and Settlement Area Office, which is shown to rehabilitate or repair community houses that are not habitabel. This program is often a problem in Bangun Purba Village because when determining house renovation assistance, it is still by looking or relying on thoughts and predictions for people who will get assistance, so that the assistance that will be distributed is not on target. This house renovation program aims to provide welfare for the poor to build or renovate houses that are not habitabel. Therefore, the author created a Data Mining system to determine the feasibility of receiving home renovation using the K-Means algorithm using the PHP programming language and MySQL database. The K-Means method utilizes training data to generate probabilities such as each grouping for different classes, so that the probability values of the grouping can be optimized to determine the eligibility for receiving home surgery assistance based on the grouping process carried out by the K-Means method.
Co-Authors Adyanata Lubis, Adyanata Afrijal Afrijal, A Aini, Yulfita Arfandi, Zirhan Asari, Wahyu Asmen, Faisal Atmaja, Niko Surya Budi Yanto, Budi Crisdianto, Ahlul Dona Dona, D Dona, Dona Elfrida Ratnawati Hendri Maradona, Hendri Inal, Inal Kiki Yasdomi Kurniawansyah, Dani Ria Karno Rifqi, Mi'rajul Rifqi, Mi’rajul Rifqi, Mi’rajul Sastra, Amner Satria Riki Mustafa, Satria Riki Susmita, Afnes Utami, Urfi Yuliansyah, Chandra