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Atika , Prima Dina
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Journal : Journal of Students‘ Research in Computer Science (JSRCS)

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Penentuan Pola Frekuensi Menggunakan Algoritma Apriori pada Sistem Informasi Berbasis Web Herlawati , Herlawati; Handayanto , Rahmadya Trias; Rejeki , Sri; Priatna , Wowon; Atika , Prima Dina; Rofiah , Syahbaniar; Retnoningsih , Endang; Saputra , Faisal Adi; Pradana , Galih Apriansha
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/nxkyrb30

Abstract

Currently, technology can affect services in any field, both in areas such as salon services and sales of clothing products. How to plan a marketing strategy using the web based on service transaction data and products that are most often chosen by customers. Therefore, an information system for determining frequency patterns is needed using the website-based Apriori Algorithm method. The results of research on salons based on the type of beauty treatment obtained for the type of treatment with a minimum confidence = 70%, the first confidence value is 63% if the customer chooses to wash (shampoo), the customer chooses scissors, the second the confidence value is 100%, if the customer chooses to blow then chooses also cut, and the third confidence value is 86% if the customer chooses creambath then the customer chooses to cut too. Meanwhile at the shop clothes determining the frequency pattern of types of clothes with a minimum value of confidence = 70% so that the results include if a customer buys a veil, the customer buys a robe with a confidence value of 71.43% and if a customer buys khimar then the customer will also buy a robe with a confidence value of 78, 57%. With these results salon and clothing store owners can determine marketing strategies by providing the right product and service recommendations to customers.
Klasifikasi Keuntungan pada Bengkel AS Motor BMW Menggunakan Metode Algoritma C4.5 Julianto , Julianto; Atika , Prima Dina; Warta , Joni
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/gv4cwh91

Abstract

The growth of the motor vehicle and car repair services business is a business that has very high growth in Indonesia, due to the large number of motorized vehicles and cars. Profits in business are important because profits determine whether a company is progressing or not. The method used in this research is Classification Data Mining using the C4.5 Algorithm method, with the attributes involved namely income, cash, spare parts payable, water, electricity, employee salaries, rental costs, consumables, incidental costs, and net income. Algorithm C4.5, which is an algorithm for changing the form of data (tables) into a tree model and then changing the tree model into a rule. The application of the C4.5 algorithm to the profit and loss classification system at workshops was successfully carried out with an accuracy rate of 72.73% from the total data calculation results, and has been implemented in the form of a profit and loss classification application system for website-based workshops. The classification system of advantages and disadvantages in workshops as a result of the research that has been done can be used as a recommendation.
Co-Authors Herlawati Herlawati Julianto , Julianto Pradana , Galih Apriansha Priatna , Wowon Rahmadya Trias Handayanto Rejeki , Sri Retnoningsih , Endang Rofiah , Syahbaniar Saputra , Faisal Adi Warta , Joni