Article Per Year (5 Year)
p-Index From 2020 - 2025
3.302
P-Index
This Author published in this journals
All Journal Jurnal Teknik Komputer AMIK BSI METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi JIPN (Journal of Informatics Pelita Nusantara) METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Informatika Kaputama (JIK) TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Journal of Intelligent Decision Support System (IDSS) INFOKUM Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara KLIK: Kajian Ilmiah Informatika dan Komputer INFOSYS (INFORMATION SYSTEM) JOURNAL Jurnal Media Informatika Jurnal Info Sains : Informatika dan Sains
Jijon Raphita Sagala
STMIK Pelita Nusantara, Medan
Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Neuroscience Social Sciences Transportation

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Intelligent Decision Support System (IDSS)

 1 
Prediction of 2020 Mobile Sales Trends Using the Weighted Product Method Devi Permata Sari Sianturi; Jijon Raphita Sagala
Journal of Intelligent Decision Support System (IDSS) Vol 3 No 4 (2020): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Mobile is a communication tool that has the ability like a computer with a variety of functions that is easy to carry anywhere and anytime.The current trend of cellphones is marked by the emergence of increasingly sophisticated types, models and brands with increasingly diverse features such as games, music, cameras, videos and social media. Therefore, nowadays there are many cellphone shops that sell cellphones, in addition to that the development of cellphones has made choosing a cellphone a long and complicated process to produce the best choice that suits your needs. This study aims to produce a decision for the selection of mobile phones using the weighted product method. Weighted product uses the multiplication technique to relate the attribute rating, where the rating of each attribute must be ranked first with the weight of the attribute concerned to produce the largest value that will be selected as the best alternative. The application of the Weighted Product method uses criteria, namely camera (C1), ram (C2), rom (C3), price (C4), weight (C5), and battery (C6). The results of this study indicate that the recommended alternative is A3, namely OPPO type OPPO A9 2020 with a V value of 0.093.
Co-Authors Amran Sitohang Devi Permata Sari Sianturi Dwi Putri Rahayu Fenda Sudarto Hasugian Hasanul Fahmi Hasanul Fahmi Hasugian , Paska Marto Hasugian, Penda Sudarto Insan Astuti Laphita Sari Simanjuntak Larisma Situmorang Lela Dwi Ani Martua Sitorus Mawaddah Arrosty Melisa Van Breukelen Mufida Khairani Murni Marbun Nicko Permana Putra Nuri Latifa Efrata Nurjamiyah, Nurjamiyah Nurmawaty Hutabarat Permata Sari Tarigan Sarah Afriani Sihombing Simangunsong, Agustina Sulindawaty, Sulindawaty Syahrul Fahri W. S. Usha Nantheni Yessy F A Lubis Yuda Perwira Zanma Ameta Tarigan