cover
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282370070808
Journal Mail Official
mesran.skom.mkom@gmail.com
Editorial Address
Jl. Besar Namorambe, P. Mansion, No 14, Kab. Deli Serdang, Sumatera Utara, 20356
Location
Kab. deli serdang,
Sumatera utara
INDONESIA
Journal of Decision Support System Research
Published by ADA Research Center
ISSN : -     EISSN : 3026006X     DOI : -
Core Subject : Science,
Journal of Decision Support System Research journal publishes manuscripts within the fields of: 1. Natural Language Processing Pattern Classification, 2. Speech recognition and synthesis, 3. Robotic Intelligence, 4. Big Data, 5. Informatics Techniques, 6. Image and Speech Signal Processing, 7. Data Mining 8. Decision Support System, 9. Experts System, and 10. Cryptography
Articles 2 Documents
Search results for , issue "Vol. 2 No. 3 (2025): May 2025" : 2 Documents clear
Implementasi Matode Weighted Product dalam Penentuan Aplikasi Tatap Muka Pembelajaran Daring Efori Bu'ulolo; Serta Kurniawan Zega; Viktor Frank Zai
Journal of Decision Support System Research Vol. 2 No. 3 (2025): May 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i3.98

Abstract

The development of information technology has encouraged the adoption of online learning systems with various face-to-face applications such as Google Meet, Zoom Meeting, Elearning, Edmodo, and Google Classroom. The diversity of these applications often causes problems in determining the most suitable choice because each application has advantages and disadvantages, both in terms of user capacity, visual interaction, features, application size, and internet data usage. To address these issues, this study implements the Weighted Product (WP) method as a multi-criteria approach capable of providing objective evaluations based on the weight of each criterion's importance. The analysis results show that user capacity is the dominant factor with the highest weight (0.37), followed by visual interaction (0.23) and user-friendly features (0.16), while application size (0.11) and internet data usage (0.07) fall under the cost category. The WP calculation yields preference values that place Elearning (A3) in first place with a value of 0.341, followed by Zoom Meeting (0.241), Edmodo (0.135), Google Meet (0.134), and Google Classroom (0.146). Thus, Elearning is the most optimal application to support online learning, while the WP method has proven to be effective as a decision-making tool in determining the best alternative.
Sistem Pendukung Keputusan dalam Pemilihan Surat Kabar Online Terbaik dengan Metode WASPAS Mesran; Ahmadfauzy; Aniyanti Tafonao; Mahesa Raihan Rifqi; Setiawansyah
Journal of Decision Support System Research Vol. 2 No. 3 (2025): May 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i3.101

Abstract

The development of the internet makes it easier for us to get information, we don't have to buy newspapers or magazines to get information. We only use various social media to get information easily and quickly. This online newspaper provides many benefits for us in getting information, but in getting information online we need to be careful because there are also positive and negative impacts in this online newspaper. Sometimes they provide information that is not filtered first and are wrong in providing the information and the news is not clear so that there are often promblematics for many people in reading information on social media. So in solving the problems that occur in the selection of online newspapers, several criteria are needed including Reputation & Credibility, News Content, Journalism Quality, Platform Availability and Interactivity Level. So that in solving the above problems, the author needs a tool to solve the problem, namely SPK. SPK is a computerised tool in problem solving using real data in order to get or obtain clear and accurate information results. In this study the authors used the WASPAS method to find the final results accurately. So with that, the one who gets the highest rank in the selection of the best online newspaper is Kompas.com with a value of 1 and followed by Detikcom with an acquisition value of 0.76032.

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