Article Per Year (5 Year)
p-Index From 2021 - 2026
3.369
P-Index
This Author published in this journals
All Journal Jurnal Infinity Sistemasi: Jurnal Sistem Informasi Generation Journal Journal of Computer System and Informatics (JoSYC) Teknika Jurnal Informatika dan Rekayasa Perangkat Lunak JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) Pakem : Jurnal Pengabdian Kepada Masyarakat Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Ilmiah Computer Science Journal of Data Science and Information System Journal of Information Technology, Software Engineering and Computer Science Physikos: Journal of Physics and Physics Education German für Gesellschaft (J-Gefüge) Jurnal Infinity
Vederico Pitsalitz Sabandar
Universitas Pattimura
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Ilmiah Computer Science

 1 
Sistem Pendukung Keputusan Penentuan Produk Terbaik Menggunakan Weighted Product Method Vederico Pitsalitz Sabandar; Ridlan ahmad
Jurnal Ilmiah Computer Science Vol. 1 No. 2 (2023): Volume 1 Number 2 January 2023
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jics.v1i2.7

Abstract

The Weighted Product (WP) method is one of the methods in multi-criteria decision making used to evaluate alternatives based on predetermined criteria. This study aims to apply the WP method in determining the best products so as to help companies in marketing their products based on the results of the best product recommendations owned by the company. This study aims to apply the WP method in determining the best products so as to help companies in marketing their products based on the results of the best product recommendations owned by the company. The final result of the accumulated calculation of 4 customer assessments was obtained for rank 1 with a value of 0.904 obtained by Product E, rank 2 with a value of 0.83 obtained by Product A, rank 3 with a value of 0.794 obtained by Product D, rank 4 with a value of 0.771 obtained by Product C, and rank 5 with a value of 0.702 obtained by Product B.
Analisis Perbandingan SAW, WP dan TOPSIS Untuk Rekomendasi Restoran Sabandar, Vederico Pitsalitz; Wahyudi, Agung Deni
Jurnal Ilmiah Computer Science Vol. 2 No. 2 (2024): Volume 2 Number 2 January 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jics.v2i2.25

Abstract

Choosing the right restaurant for your food is a decision that can affect your overall culinary experience. In this study, the data used is data from TripAdvisor in the form of ratings and ratings of restaurants in Lampung. The data taken is the top 5 ranking data in tripadvisor which will be an analysis in providing restaurant recommendations based on the rating data on the website. The ranking results using the SAW method Rank 1 was obtained by Square Restaurant with a final score of 0.895. The ranking results using the WP Rank 1 method were obtained by Square Restaurant with a final score of 0.203427. The ranking results using the TOPSIS method Rank 1 were obtained by Pempek 123 with a final value of 0.580511982. The results of a comparative analysis of SAW, WP, or TOPSIS depend on the complexity of the decision, user preferences, and the specific characteristics of the decision-making problem at hand. SAW lends itself to simple decision, WP provides greater flexibility on weight handling, and TOPSIS can provide more in-depth analysis by considering both positive and negative ideal matrices.
Co-Authors Altje Latununuwe Anderson Leonardo Palinussa Darwis, Dian Tari Elsina Sarah Tamaela, Elsina Sarah Esomar, Ketarina Harry Budi Santoso Jozua Sabandar Kalean, Arman Katayane, Tetrin Kelik Sussolaikah Limba, Anastasija Lulang, Irma Yani Luther Latumakulita Maemonah, Maemonah Makaruku, Yulian H Makaruku, Yulian Hanny Malawau, Seska Pieter Zakarias Tupamahu Ridlan ahmad Riovan Styx Roring Sahuleka, Novita Sanriomi Sintaro Wahyudi, Agung Deni Widya Putri Ramadhani Yohanes Rozi Astino