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All Journal Bulletin of Information Technology (BIT) Engineering and Technology International Journal (EATIJ)
Muhammad Bobbi Kurniawan Nasution
Universitas Al washliyah Labuhanbatu
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Perancangan Desain Antar Muka Sistem Informasi Pengarsipan Pada CV. Inti Jember Sukses Doni Damara; Okta Veza; Indah Kusuma Dewi; Albertus Laurensius Setyabudhi; Muhammad Bobbi Kurniawan Nasution
Engineering and Technology International Journal Vol 4 No 03 (2022): Engineering and Technology International Journal (EATIJ)
Publisher : YCMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2855.696 KB) | DOI: 10.55642/eatij.v4i03.239

Abstract

This study aims to design and implement an archival information system at CV. Inti Jembar Sukses which can be used to manage transaction records and provide technological insights to leaders and staff who previously did not use information system technology with the system design stages using the waterfall method with five stages, namely needs analysis, system interface design. While the modeling used is the Unified Modeling Language (UML). Archive information system on CV. The core of jember success. The results of this study resulted in analysis, system interface design with UML modeling to create a system that can be used as an archive data manager and smooth access to company information that has resulted in the design that has been made. Archive information design on the CV. Inti Jembar Sukses where there are still several letter documents that have not been made due to time constraints and the design requirements are made online starting from the status of the archives and bidding documents.
Implementasi Metode SAW Dan MAUT Dalam Sistem Pendukung Keputusan Menentukan Verietas Nanas Terbaik Rahmad Aditiya; Angga Putra Juledi; Kusmanto; Andi Ernawari; Muhammad Bobbi Kurniawan Nasution
Bulletin of Information Technology (BIT) Vol 7 No 2 (2026)
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i2.2993

Abstract

This research aims to assist farmers and agribusiness practitioners in determining the best pineapple variety in a more objective and systematic manner. Ultimately, this will positively impact the productivity and quality of pineapple yields, providing greater economic benefits to farmers and agribusiness practitioners. To address this issue, a Decision Support System (DSS) was employed using the SAW and MAUT methods. The SAW method is a simple and easily implemented MCDM method. It works by assigning weights to each criterion and then calculating the total score for each alternative based on these weights. On the other hand, the MAUT method is a more comprehensive approach to multi-criteria decision-making. This method is based on utility theory, which considers the decision-maker's preferences regarding various attributes or criteria. By using the SAW and MAUT methods, we can determine the best pineapple variety selection based on the available data. From the previously collected data, this study uses 5 criteria: Size (30%), Taste (25%), Skin Color (20%), Water Content (15%), and Texture (10%). The implementation of the SAW and MAUT methods revealed that the best pineapple variety is A5 (MD2) with a score of 0.9125 using the SAW method and a score of 2.2062 using the MAUT method. The last-ranked alternative, A10, shared the same ranking.
Co-Authors Andi Ernawari Angga Putra Juledi Doni Damara Indah Kusuma Dewi, Indah Kusuma Kusmanto Laurensius Setyabudhi, Albertus Okta Veza Rahmad Aditiya