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Perancangan sistem informasi persediaan bahan baku berbasis website pada PT. Multi Mortar Saryani, Saryani; Junior, Fabio; Petriyansyah, Septa
JOURNAL INFORMATION TECHNOLOGY ENGINEERING AND SCIENCE Vol 2 No 1 (2022): September
Publisher : Universitas Tangerang Raya

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Abstract

In the context of modern business, information technology is the main key to operational success. This research highlights the important role of computerized systems in raw material inventory management at PT. Multi Mortar. Even though the stock card system is used, the manual data processing process using Microsoft Excel is often inefficient and less accurate. Lack of optimal inventory data can hinder management decision making. This study proposes designing a website-based raw material inventory system using Unified Modeling Language (UML) to fix this problem. Qualitative methods, including observational analysis, interviews, and literature studies, were used to design a system that facilitates data input and produces efficient reports. The hope is that the implementation of this new website-based system will help PT. Multi Mortar increases its operational effectiveness and enables management to make better decisions based on accurate and timely information. Thus, this research shows the importance of the integration of advanced information technology in improving business efficiency and overcoming challenges in inventory management. Keywords: Inventory, efficient, UML, Website
Design of a Decision Support System for Housing Selection Using the Web-Based Additive Ratio Assessment (Aras) Method Junior, Fabio; Darmawan, R. Wahyudi; Petriyansyah, Septa
Technology and Society Perspectives (TACIT) Vol 2 No 2 (2024): July 2024
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/tacit.v2i2.205

Abstract

Population growth in Indonesia continues to increase, making the need for houses as a place to live also increasing. The current large number of housing complexes with various criteria and their respective advantages makes prospective buyers quite confused about choosing the right and suitable housing for their residence. This research aims to provide recommendations for suitable housing for prospective buyers through a decision support system using the Additive Ratio Assessment (ARAS) Method based on calculations from Criteria Data, Sub-Criteria Data and Alternative Assessment Data. The recommendations given are in the form of a ranking where the housing alternative with the highest degree of utility value is the most recommended alternative. In this research, there are 5 (five) Data Criteria required by prospective buyers, namely Price, Location, Accessibility, Facilities and Environmental Safety. Then there are 5 (five) housing alternatives, namely Batara Parkview, Batara Village, Kota Batara, Triraksa Village 2 and Kota Cakra. The results of the decision support system calculations using the Additive Ratio Assessment (ARAS) method produce (1) Kota Cakra as the most recommended housing, then (2) Triraksa Village 2, (3) Batara Parkview, (4) Batara Village and (5) Kota Batara.