Penerapan Algoritma Fp-Growth Untuk Menentukan Pola Pembelian Konsumen Pada Ahass Cibadak

Suhada, Satia; Ratag, Daniel; Gunawan, Gunawan; Wintana, Dede; Hidayatulloh, Taufik

doi:10.31294/swabumi.v8i2.8077

Cited by 11 publications

(12 citation statements)

References 4 publications

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“…Figure 6 shows that when infrequent sets are not removed, the algorithm arranges all datasets without dominant differences and the optimization process. The Logistic regression method is mainly to learn the maximum likelihood estimation, so the posterior probability of a single sample is as follows [ 15 ]:

p ( y|x ; θ ) represents the probability value of the function when x tends to θ , and also the probability of category y = 1 when X i is determined. After the probability value of the whole sample is obtained, the posterior probability L ( θ ) of the sample is as follows [ 16 ]:

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Section: Methodsmentioning

confidence: 99%

Design of Online Ideological and Political Teaching of Building Architecture from the Perspective of Machine Learning

2022

Computational Intelligence and Neuroscience

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Under the background of the rapid progress of machine learning (ML) and information technology, the traditional classroom model is gradually replaced by the self-media classroom. This thesis aims to solve the problems of understanding abstract content and limited teaching in practical teaching. Based on the ideological and political integration teaching of building architecture, the online classroom design principle reflects the classroom optimization and design principle of building architecture from the perspective of ML. The data advantage is utilized, and the classroom application model is established using the deep learning algorithm through information input. The scene of field survey and building construction is presented from the perspective of mechanization. The simulated results are displayed in the classroom through online teaching combined with ideological education and political teaching mode. The research shows that ML combined with online classroom design breaks through the book face-to-face teaching mode of the traditional classroom through the dynamic demonstration of actual construction, the virtual building structure, and the innovative design of building material entity. It stimulates students’ interest in architecture courses, improves the overall learning efficiency, and promotes the ideological and political integration of building architecture courses. Besides, it is conducive to cultivating comprehensive architectural talents in the new era.

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…”

Section: Methodsmentioning

confidence: 99%

Design of Online Ideological and Political Teaching of Building Architecture from the Perspective of Machine Learning

2022

Computational Intelligence and Neuroscience

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“…Adapun tujuan dan kebutuhan dari penelitian ini sesuai dengan yang tercantum pada latar belakang, yaitu penemuan dari nilai Confidence tertinggi atau beberapa pola hubungan antar menu pada transaksional penjualan dengan nilai tertinggi. Pada tahap ini ditentukan untuk penentuan tujuan dari penelitian yaitu menemukan pola berupa produk-produk yang sering dibeli bersamaan atau produk yang cenderung muncul bersama dalam sebuah transaksi dari data transaksi penjualan [11].…”

Section: Business Understandingunclassified

Penerapan Algoritma FP-Growth Untuk Analisis Data Transaksi Penjualan Di Internet Learning Cafe Kaliurang

Wijaya

Pratama

2022

JNKTI

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Abstrak - Salah satu keluhan yang terjadi pada usaha kafe yaitu banyaknya pelanggan yang menanyakan jenis menu disetiap transaksi, baik setiap jenis menu atau kombinasi beberapa jenis menu yang sebaiknya mereka pilih. Hal tersebut menjadikan satu transaksi harus diselesaikan dengan waktu yang lama. Jika hal tersebut terus berlanjut akan semakin banyak kesan negatif, sehingga pelanggan tidak mau kembali berkunjung. Dampak lainnya dapat mengakibatkan kerugian pihak manajemen dan menurunnya omset perusahaan. Untuk pembuatan kombinasi menu, tools yang akan digunakan pada percobaan ini adalah RapidminerStudio 9.10 dengan metode Association Rules dan algoritma FP-Growth. Data yang digunakan adalah transaksi penjualan Internet Learning Cafe selama 6 bulan terakhir, sebanyak 38.405 transaksi. Data transaksi berformat (.CSV) nantinya akan disesuaikan dengan perkembangan keadaan menu terbaru, pengurangan Items menu terendah dan lainnya. Pembentukan paket menu ditentukan berdasarkan support yaitu nilai yang menjelaskan berapa kali sebuah Itemset muncul dari sejumlah dataset dan nilai Confidence yang menampilkan seberapa sering relasi yang muncul diantara Itemset X dan Y. Untuk mendapatkan nilai tersebut data harus melalui 6 tahapan proses yaitu Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation dan Deployment. Setelah itu Rules atau Knowledge akan ditampilkan pada beberapa baris dengan nilai tertinggi.Kata Kunci: Data Mining, Association Rules, FP-Growth, Rapid Miner. Abstract - One of the complaints that occurs in the cafe business is the number of customers who ask for the type of menu in each transaction, either each type of menu or a combination of several types of menus that they should choose. This makes one transaction to be completed in a long time. If this continues, there will be more and more negative impressions, so that customers do not want to come back to visit. Other impacts can result in management losses and a decrease in company turnover. For making menu combinations, the tools that will be used in this experiment are RapidminerStudio 9.10 with Association Rules algorithm FP-Growth. The data used are Internet Learning Cafe sales transactions for the last 6 months, totaling 38,405 transactions. Transaction data in (.CSV) format will later be adjusted to the latest developments in the menu, reducing items the lowest menuThe formation of the menu package is determined based on support , which is a value that explains how many times an Itemset appears from a number of datasets and a Confidence that displays how often a relationship appears between Itemset X and Y. To get this value the data must go through 6 stages of the process, namely Business Understanding, Data Understanding , Data Preparation, Modeling, Evaluation and Deployment. After that Rules or Knowledge will be displayed on several lines with the highest value. Keywords: Data Mining, Association Rules, FP-Growth, Rapid Miner.

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“…Datadata dari transaksi penjualan yang terjadi pada perusahaan ini pada periode-periode sebelumnya, belum dijadikan sebagai sumber informasi yang dapat lebih menguntungkan perusahaan. Data transaksi penjualan yang telah menumpuk tersebut akhirnya menjadi data yang tidak bernilai sama sekali [3] [4]. Supaya, data transaksi penjualan memiliki manfaat yang lebih besar bagi perusahaan, maka kita memerlukan metode data mining yaitu algoritma FP-Growth.…”

Section: Pendahuluanunclassified

Penerapan Data Mining Dalam Menentukan Pola Penjualan Sepatu Menggunakan Algoritma FP-Growth

Syahriani

2022

Jur. Ris. Kom.

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The company PT Global Vision is a contemporary shoe supplier company, where its shoe products are very popular with young people, children or the elderly. This company provides imported and local shoe products. The owner of the PT Global Vision company wants this company to continue and survive in the midst of increasingly fierce competition and declining people's purchasing power. It should also be noted that this company does not yet have a specific reference or guideline in increasing the company's turnover through the business strategy it implements, in other words, this company still relies on estimates. Therefore, this research was made with the aim that the company PT Global Vision can find out about the working system of shoe sales transactions using the FP-Growth algorithm. Where shoe sales transaction data is used to obtain products that are purchased simultaneously. Then the FP-Growth Algorithm is used to get a combination of product patterns. Meanwhile, FP-Tree is used in conjunction with the FP-Growth algorithm to determine frequent itemset from a database. For the Association rule method itself, it is used to search for patterns of product linkages for sales strategies in decision-making policies, where later it can be known what shoe brands are often purchased by consumers. This can be used as a guideline by PT Global Vision in determining marketing strategies for the next period

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Penerapan Algoritma Fp-Growth Untuk Menentukan Pola Pembelian Konsumen Pada Ahass Cibadak

Cited by 11 publications

References 4 publications

Design of Online Ideological and Political Teaching of Building Architecture from the Perspective of Machine Learning

Design of Online Ideological and Political Teaching of Building Architecture from the Perspective of Machine Learning

Penerapan Algoritma FP-Growth Untuk Analisis Data Transaksi Penjualan Di Internet Learning Cafe Kaliurang

Penerapan Data Mining Dalam Menentukan Pola Penjualan Sepatu Menggunakan Algoritma FP-Growth

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