Article Per Year (5 Year)
p-Index From 2021 - 2026
2.891
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi SITEKIN: Jurnal Sains, Teknologi dan Industri Prosiding Semnastek CESS (Journal of Computer Engineering, System and Science) Jurnal CoreIT JURNAL MEDIA INFORMATIKA BUDIDARMA Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Teknologi Komputer dan Sistem Informasi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pendidikan dan Teknologi Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Sains dan Informatika : Research of Science and Informatic JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Muhammad Irsyad
Universitas Islam Negeri Sultan Syarif Kasim Riau
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Neuroscience Transportation Other

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

Found 2 Documents
Search
Journal : journal of information system research josh

 1 
Desain Sistem Pemasaran Produk UMKM dengan Konsep UI/UX Menggunakan Metode Design Thinking Bebi Oktaviani; Reski Mai Chandra; Muhammad Irsyad; Pizaini Pizaini
Journal of Information System Research (JOSH) Vol 4 No 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i3.3387

Abstract

The contribution of UMKM to the Indonesian economy has a major role in increasing economic growth in Indonesia. The development of UMKM in Indonesia has always been a special concern of many Indonesian citizens, including the government itself. Therefore, we conducted this research with the hope that the resulting product can provide solutions according to the needs and desires of users. This research focuses on system development for marketing UMKM products by designing UI and UX using the Design Thinking method. This Design Thinking method is a comprehensive thinking process that focuses on finding solutions with an empathetic process for a particular human-centered need. This method has 5 stages, namely Empathize, Define, Ideate, Prototype, and Testing. The testing method used is the SUS (System Usability Scale) method. System recommendations built in the form of a prototype using the Figma application. The feature that distinguishes this application from other applications is the AR feature to clearly see the product to be purchased. In addition, users can also choose souvenirs typical of an area by pressing directly from the interactive map provided. The prototype that was built was successfully tested on 10 respondents with an application prototype worth 87.
Klasifikasi Sentimen Masyarakat Di Twitter Terhadap Prabowo Subianto Sebagai Bakal Calon Presiden 2024 Menggunakan M-KNN Abdul Halim; Yusra Yusra; Muhammad Fikry; Muhammad Irsyad; Elvia Budianita
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4054

Abstract

Presidential elections are held every five years and each presidential candidate will get support from several political parties to run for candidacy in the election. In a multi-party system, the number of parties participating in the election is very large, so that the perspectives of voters on political actors, including presidential candidates who will advance in the 2024 elections, are varied. The survey results from Polling Indonesia (SPIN) conducted from 7 to 16 October 2022 show that Prabowo Subianto has the highest electability with a score of 31.6%, based on a national leadership survey. In this study, a test was carried out by classifying tweet data from the public collected on the Twitter application from January to December 2022 using the Modified k-Nearest Neighbor method to analyze public sentiment regarding the upcoming election. Data collected as many as 2,100 data with positive and negative categories related to "Presidential Candidate" and "Prabowo Subianto" and the implementation of the Modified k-Nearest Neighbor classification was carried out using Google Colab. Based on the results of the confusion matrix test from the Modified k-Nearest Neighbor classification with three comparisons made (ie comparisons 70%:30%, 80%:20% dan 90%:10%) and using K=3, 5, 7, 9, 11 when testing a comparison of 90:10 at K=3 the highest accuracy results were obtained with a value of 93,3%.
Co-Authors Abdul Halim Afdhalel Vickro Afiana Nabilla Zulfa Ahmad Fauzan Ahyani Junia Karlina Albis Ya Albi Alwis Nazir Amelia Irsyada Ana Komaria Baskara Bebi Oktaviani Deny Dewana Hastanto Eka Pandu Cynthia Elin Haerani Elvia Budianita Endang Rasila Fahmi Kasri Febi Yanto Fina Tamima Annahwa Fitra Lestari Fitri Insani Fitri Wulandari Iis Afrianty Iwan Iskandar Jasril Jasril Lestari Handayani Liza Afriyanti Mohd. Ridho Zarkasih Rahim Muhammad Affandes Muhammad Fikry Nadila Handayani Putri Nazruddin Safaat H Nazruddin Safaat H Negara, Benny Sukma Novi Yanti Nur Habibah Lubis Pizaini Pizaini Rahma Shinta Rahmad Kurniawan Rendi Aulia Rahman Reski Mai Candra Reski Mai Candra Reski Mai Chandra Riyan Wibowo Saputra Sonya Metarice Surya Agustian Suwanto Sanjaya Teddie Darmizal Teddie Darmizal Trya Ayu Pratiwi Yusra Yusra Zul Azis Khan