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All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Journal of Computer Networks, Architecture and High Performance Computing Jurnal Info Sains : Informatika dan Sains
M.Fakhriza
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Computer Science & IT Education

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Apriori Algorithm to Predict Availability of Beauty Products Maria Hikmah Hasibuan; M.Fakhriza
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4259

Abstract

This study introduces the Apriori algorithm in beauty product availability prediction system as a solution to enhance stock prediction accuracy and mitigate inventory risks in the beauty industry. By applying data mining technology, specifically the Apriori algorithm, Kazana Kosmetik aims to gain insights into consumer purchasing patterns to optimize operations. The research analyzes transaction data to identify key buying patterns and improve stock management strategies. The results reveal seven main purchasing patterns with an average confidence value of 0.414, offering valuable guidance for Kazana Kosmetik in inventory control and marketing tactics. By leveraging data mining techniques, companies like Kazana Kosmetik can streamline sales strategies and enhance customer satisfaction. This research underscores the effectiveness of the Apriori algorithm in predicting beauty product availability and its potential to revolutionize operational efficiency in the cosmetics market.
Information System for Monitoring Waste Tonnage and Fleet Assignment at the Medan City Sanitary and Park Agency Ahmad Hisdan; M.Fakhriza
Jurnal Info Sains : Informatika dan Sains Vol. 13 No. 03 (2023): Informatika dan Sains , Edition December 2023
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v13i03.3633

Abstract

The Medan City Sanitary and Parks Department has the responsibility of carrying out the waste transportation process from the source of waste to the location of the Sanitary Landfill. Every day, the waste transportation vehicle receives a Road Order Letter from the sub-agency located in the sub-district, which contains information on waste transportation information. After the transportation is complete, the letter is submitted to the landfill scale department for tonnage and origin data collection. However, at present, all waste transportation data collection activities are carried out manually, including the provision of assignment letters and data collection of waste tonnage and fleet routes at the landfill. This results in ineffectiveness in the data collection operations. This encourages researchers to design a monitoring and fleet assignment information system at the Medan City Sanitary and Parks Service. Data collection is done by observation and interviews. The system development model in this system uses SDLC (System Development Life Cycle) Waterfall and uses UML (Unified Modeling Language) as a method of describing the flow of the system by applying the Use Case Diagram, Activity Diagram and Sequence Diagram models. The system is designed to run on a website system and is built using the PHP programming language with MySQL as a database. With this system, it is hoped that it can help in facilitating fleet assignments and monitoring the amount of waste entering the Sanitary Landfill .
Moisturizer Selection System According To Skin Type Using The Weighted Product Method Harahap, Sepriana Nurliani; M.Fakhriza
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.5170

Abstract

Choosing the right moisturizer for your skin type is an important aspect of skin care to maintain health and avoid problems such as irritation, dryness, or excess oil production. However, users often have difficulty finding the right choice due to the wide variety of products available on the market. Therefore, this study aims to develop a Decision Support System that can help users choose the most suitable moisturizer based on their skin type, by utilizing the Decision Tree method. This method is used because it is able to classify skin types based on various parameters, such as moisture level, sensitivity, oil content, and tendency towards acne. This system is built by processing a dataset containing skin characteristics and the appropriate moisturizer content. The results of the study show that the developed system has a high level of accuracy in providing recommendations according to needs. With this system, users can easily find the right moisturizer for their skin type, thus supporting more optimal skin care.
Co-Authors Ahmad Hisdan Harahap, Sepriana Nurliani Maria Hikmah Hasibuan