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Journal : TECHNOVATE

MSME Business Feasibility Evaluation Model Based on Decision Management Perspective Suandana, Ni Putu Widantari; Muni, Ni Made Jeni Apriliani
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 2 No. 1 (2025): January 2025
Publisher : PT.KARYA GEMAH RIPAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52432/technovate.2.1.2025.10-15

Abstract

MSMEs have an important role in the Indonesian economy, especially in Bali as an area known for its arts and culture industry. This research aims to develop an MSME business feasibility evaluation model using the Simple Additive Weighting (SAW) method. Six evaluation criteria are used, namely the level of product quality, the level of product damage, the level of market demand, the level of product diversity, the average monthly income, and the average operating costs. Data from seven MSMEs in Gianyar Bali were analyzed by the SAW method, resulting in a final score that determines the feasibility ranking. Results show that MSME C has the highest score (0.918), while MSME G has the lowest (0.741). The findings indicate that product quality and diversification are key success factors, while reducing operational costs is a challenge that needs attention. The SAW model provides a systematic approach for MSMEs to evaluate the viability of their businesses and support strategic decision-making.
Real Time Sales Data Visualization at Agung Wastra Using Looker Studio Sandhiyasa, I Made Subrata; Parniti, I Gusti Agung Ayu Pira; Wijaya, Bagus Kusuma; Suandana, Ni Putu Widantari
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 2 No. 2 (2025): April 2025
Publisher : PT.KARYA GEMAH RIPAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52432/technovate.2.2.2025.96-103

Abstract

Agung Wastra is a company that opertes in the field of facilities and infrastructure for Hindu religious ceremony activities. The company uses Microsoft Excel in processing sales data. The weakness of the data or information produced is that it is still in table form and does not display more interactive information in graphic form, making it difficult for companies in a short time. Therefore, this research aims to build a sales data visualization system using looker studio. This visualization helps companies process table data into information in the form of graphs so that it doesn't take a long time to see the company's sales development. The research method used in this research is Kimball's nine steps method. This research goes through the stages of company data analysis, data warehouse design, extract transform load process, implementation of data visualization, and system testing. This system was tested using the user acceptance test method and obtained results with a percentage of 92.5% or strongly agree, which means that the sales data visualization is in accordance with the needs of the agung wastra company. The results of this research are seven pages displaying company information in the form of graphics to assist in decision making.