Article Per Year (5 Year)
p-Index From 2019 - 2024
0.61
P-Index
This Author published in this journals
All Journal Journal of Computer Networks, Architecture and High Performance Computing Jurnal Sains Teknologi dan Sistem Informasi Prosiding Snastikom
Muhammad Ridwan Lubis
STIKOM Tunas Bangsa
Computer Science & IT Education Library & Information Science

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Klasifikasi Rasa Susu Almond Berdasarkan Minat Pelanggan Menggunakan Algoritma C4.5 di Home Made MamiNia Ice Pematangsiantar Febriani; Indra Gunawan; Rafiqa Dewi; Dedy Hartama; Muhammad Ridwan Lubis
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 1 No. 2 (2021): Oktober 2021
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v1i2.33

Abstract

Almond milk is a plant-based milk drink made from almonds. Almond juice has a paler color and a thicker texture than regular milk. As for the benefits of almond milk in the world of health, namely to increase breast milk production, prevent high blood pressure, strengthen immunity, protect bone health, maintain baby's heart health, prevent free radicals, facilitate digestion, make skin bright after childbirth. Data mining is part of the Knowledge Discovery in Database (KDD) process stage. Therefore, the authors provide a classification solution in Data Mining is done using the Algorithm C4.5. With the Algorithm C4.5 you will get a Decision Tree that is easy to understand and easy to understand. Thus, it can help the owner determine the almond milk production plan that is most in demand and without worrying about excess goods or shortages of ingredients.
Application of The Levenberg Marquardt Method In Predict The Amount of Criminality in Pematangsiantar City Widya Tri Charisma Gultom; Anjar Wanto; Indra Gunawan; Muhammad Ridwan Lubis; Ika Okta Kirana
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 1 (2021): Computer Networks, Architecture and High Performance Computing, January 2021
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i1.926

Abstract

Criminality is an act that violates the law that can disturb society and even harm society both economically and psychologically. The number of crimes cannot be ascertained over time because the numbers are uncertain. So that the police have difficulty in overcoming criminal acts. With this research, the police can find out the number of criminals that will occur through the prediction that has been made. So that the police can prevent the number of criminals and increase security in Pematangsiantar city. This study uses an artificial neural network with the Levenberg Marquardt method. The research data is sourced from the Pematangsiantar Police Criminal Investigation Agency (Reskrim) in 2014-2019. The data is divided into 2 parts, namely training data and testing data. There are 5 architectural models used in this study, namely 3-30-1, 3-31-1, 3-32-1, 3-36-1 and 3-38-1. Of the 5 architectural models used, the best architecture is 3-36-1 with an accuracy rate of 85%, MSE 0.1465119, and a maximum iteration of 10000, the results obtained from the best architecture in 2020 are 85% with the number of criminals 394 people, in 2021 it is 62 % totaled 238 people, in 2022, namely 69% amounted to 170 people, so this model is good for predicting the number of crimes in Pematangsiantar City.
Penerapan Data Mining Dalam Klasifikasi Pola Minat Mahasiswa Stikom Tunas Bangsa Melakukan Vaksinasi Menggunakan Algoritma Naive Bayes Muhammad Irfani; Dedy Hartama; Muhammad Ridwan Lubis; Renaldi; Wendi Robiansyah
SNASTIKOM Vol. 2 No. 1 (2023): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2023
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (486.117 KB)

Abstract

Vaccination is a process in the body, where a person becomes immune or protected from a disease so that if one day they are exposed to the disease they will not get sick or only experience mild illness, usually by administering a vaccine. This research has the problem of not using the Naïve Bayes algorithm to classify students' interest patterns in carrying out vaccinations at STIKOM Tunas Bangsa Pematangsiantar. The data used in this research is questionnaire data. Application of the Naive Bayes method with questionnaire data taken from STIKOM Tunas Bangsa Pematangsiantar students in order to find out possible interest patterns of students who take vaccines
Co-Authors Dedy Hartama Dewi, Rafiqa Febriani Ika Okta Kirana Indra Gunawan Muhammad Irfani Renaldi Wanto, Anjar Wendi Robiansyah Widya Tri Charisma Gultom