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Journal : Journal of Technology and Computer (JOTECHCOM)

Implementation of Data Mining on Sales Data of Bambu Ungu Cafe to Find out Consumer Purchasing Patterns Using the Apriori Algorithm Fadli, Rahmad; Ruziq, Fahmi; Imam, Chairul
Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

In today's digital age, restaurants or cafes face increasing competition and complex challenges. To stay relevant and succeed in this business, the use of data mining is crucial, as it becomes a valuable tool in optimizing sales, increasing customer satisfaction, and achieving long-term success in the restaurant and café industry. Data mining helps in effective marketing strategies. By analyzing customer data, purchase information, and preferences restaurants and cafes can identify different customer segments and create customized marketing. With so much sales transaction data, it will certainly be difficult if the data is analyzed manually, therefore information will be obtained if there is processing with the help of a system to get sales patterns. The results of this processing will produce transaction information to support product transaction decisions. To solve this problem, the researcher designed a calculation information system. In this case the author uses the waterfall method in the research process.  For system design the author uses the PHP programming language with a database format using MySQL. Finally, with this information system, the calculation process can be done automatically without the need to calculate manually is appropriate, provided that all data inputted is valid.
Decision Support System for Determining Employee Leave Using the Moora Method Case Study of the Central Bureau of Statistics of Medan City Qawakib, Cahayati Annisa; Wahyuni, Dewi; Imam, Chairul
Journal of Technology and Computer Vol. 1 No. 3 (2024): August 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

Data is indispensable in the decision-making system process. Good and appropriate decisions require accurate, fast, and relevant data. The decision support system for determining employee leave at the Central Bureau of Statistics of Medan City still uses a simple method that is only considered by the general subdivision and its leadership without following the existing criteria standards, which is very inefficient for employees who have to wait for leave approval from their leaders. The method used in this decision support system for determining employee leave is the Multi-Objective Optimisation On The Basis Of Ratio Analysis (MOORA) method and system development using the waterfall model. In implementing and designing the program using the Hypertext Preprocessor (PHP) programming language with the database used MySQL. The final results obtained from this research are A8 on behalf of Rabiah with the highest rank with a value of 0.2913 and A2 on behalf of Artha with the lowest rank with a value of 0,1338.