Article Per Year (5 Year)
p-Index From 2020 - 2025
3.77
P-Index
This Author published in this journals
All Journal Natural Science: Journal of Science and Technology Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Dinamika Sosial Budaya J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH J-SAKTI (Jurnal Sains Komputer dan Informatika) Bacarita Law Journal Journal of Law & Policy Review eProceeding of TIK Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) PUBLIDIMAS Jurnal Sistem Komputer (SISKOM) Elementary Education Research
MUHAMMAD REZA FAHLEVI
STMIK AMIKOM Yogyakarta
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)

 1 
Analisis Pengelompokan Data Pelelangan Barang Dengan Metode K-Means Clustering Fahlevi, Muhammad Reza; Putri, Dini Ridha Dwiki; Syahrin, Elvin
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i1.541

Abstract

Auction data is very important data for companies that are particularly engaged in credit distribution services. In this company, there is also an auction activity in which goods that have been pawned but have expired credit payments, the goods will be auctioned in general by the company. A large amount of existing customer auction data causes employees to experience several problems in managing large amounts of data and it is difficult to obtain accurate information in grouping auction data according to the amount of money borrowed. This application can help employees to obtain information in the method of grouping auction data by applying K-Means Clustering and can be better selected based on predetermined criteria. Testing the application for grouping the K-Means Clustering method using RapidMiner gave results based on 17 customer data types of  Small loans, 5 Medium loan types, and 2 customer data on Large loan types.
Implementasi Metode Pengembangan Multimedia Development Life Cycle (MDLC) Pada Website Pembelajaran Sistem Multimedia Putri, Dini Ridha Dwiki; Fahlevi, Muhammad Reza; Putri, Fetty Ade
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i1.543

Abstract

Learning Media has a very important role in the lecture process which is a guideline for increasing student knowledge in the field of interest. The Multimedia Development Life Cycle (MDLC) Development Method can be used in the development of Learning Multimedia Systems Websites for Multimedia Systems courses. The process of making interactive multimedia applications uses six stages, namely: Concept, Design, Material Collecting, Assembly, Testing, and Distribution. This learning website is equipped with practicum modules and video tutorials that can be downloaded. The making of this learning media uses the programming language PHP, HTML, and CSS on the Sublime Text 3 software and the MySQL database on Xampp. Testing this learning website uses Blackbox Testing to see errors in the assembly process before distribution. This research produces interactive multimedia learning media in the form of a website that can be accessed via the internet (online) which aims to facilitate the learning process for students and even the general public.
Co-Authors Acong, Acong Ali, Bujang Amali, Nailul Amri Amri Andreansyah, Diaz Anita Susilawati BA, RS Mohammad Al Amin Bukhari Bukhari Doni, Rahmad Dwi Susanto Dwiki Putri, Dini Ridha Hairun nisa Idwan, Harry Indriani, Ulfah Ivanna, Julia Jamilah Jamilah Jaya, Dipo Setia Hady Akbar M. Yamin, M. Yamin Mardiyah, Miftahul Maulia Rahman Muhammad Sadikin Nasution, Farhan Syabandi Nasution, Farhan Sya’bandi Nuriah, Asma Pakpahan, Yezkyna R Purba, Friskilawati Putri, Dini Ridha Dwiki Putri, Fetty Ade Silaen, Theresya N.E Sinurat, Try Auliana Sitanggang, Anggreni Tioda Sudrajat Sudrajat Syafri, Syafri Syahrin, Elvin Utami, Rida Utomo, Mhd. Rizki Fajar