Implementasi Data Mining Pemilihan Pelanggan Potensial Menggunakan Algoritma K-Means

Romadhona, Wahyu; Nugroho, Bangkit Indarmawan; Murtopo, Aang Alim

doi:10.33395/jmp.v11i2.11797

Cited by 5 publications

(5 citation statements)

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“…Results can be presented in figures, graphs, tables and others that make the reader understand easily. The discussion can be made in several sub-chapters [20], [21], [22].…”

Section: Resultsmentioning

confidence: 99%

Optimizing the Diet of Diabetes Mellitus Sufferers Through Food Mapping Using the Fuzzy Sugeno Method

Randi Rian Putra,

Sri Handayani,

Cendra Wadisman

2023

IJECOM

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This research focuses on developing optimal strategies for diet management for Diabetes Mellitus (DM) sufferers by utilizing the Fuzzy Sugeno method in food mapping. Diabetes Mellitus is a chronic metabolic disease that requires a careful management approach to diet to control blood sugar levels. In this study, we designed a system that uses Sugeno's fuzzy principles to categorize foods based on glycemic parameters, nutritional content, and individual patient characteristics. This method allows the formation of fuzzy rules that cover the variability and complexity in the preferences and health needs of each patient. The developed model was tested using DM patient data involving detailed information about diet, medical history and blood sugar response. Experimental results show that this approach can provide more personalized diet recommendations that suit individual health conditions. The application of the Fuzzy Sugeno method in food mapping for DM patients is expected to increase patient compliance with the recommended diet, reduce blood sugar levels, and overall, improve quality of life. Additionally, this approach also provides a foundation for the development of adaptive dietary management systems, which can continuously adapt to changing patient health needs over time.

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“…Results can be presented in figures, graphs, tables and others that make the reader understand easily. The discussion can be made in several sub-chapters [20], [21], [22].…”

Section: Resultsmentioning

confidence: 99%

Optimizing the Diet of Diabetes Mellitus Sufferers Through Food Mapping Using the Fuzzy Sugeno Method

Randi Rian Putra,

Sri Handayani,

Cendra Wadisman

2023

IJECOM

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“…Algoritma k-means clustering merupakan mode tertua dan paling dikenal dalam menganalisis klaster, dan sudah dipelajari secara luas dengan beragam pengembangan dan diaplikasikan di berbagai bidang [4]. Berikut proses pengerjaan algoritma K-means [5] : a. Penentuan sentra cluster awal. Pembelian produk kran dapur bukan satu-satunya variabel yang akan digunakan dalam penelitian ini.…”

Section: Algoritma K-meansunclassified

Pemilihan Pelanggan Potensial dengan Menggunakan Algoritma K-means dan DBSCAN untuk Mempromosikan Produk Baru PT. Sinar Makmur Lestarindo

Nurjanah,

Sundari

2024

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Pelanggan Potensial menduduki posisi krusial pada pengembangan strategi usaha, pelanggan juga merupakan salah satu sumber keuntungan pada sebuah perusahaan.PT.Sinar Makmur Lestarindo akan meluncurkan produk terbaru yaitu bak cuci piring. Pihak pabrik hanya memberikan beberapa sampel untuk dibagikan kepada calon pelanggan. Maka dari itu, perusahaan butuh daftar pelanggan yang berpotensial untuk membeli produk baru tersebut, agar nantinya sampel produk baru dapat dibagikan kepada calon pelanggan yang berpotensi membeli produk baru. Penelitian kali ini menggunakan Algoritma k-means clustering yang merupakan metode tertua dan paling dikenal dalam menganalisis klaster, dan sudah dipelajari secara luas dengan beragam pengembangan dan diaplikasikan di berbagai bidang serta Algoritma pengelompokan tambahan berbasis kepadatan baru (DBSCAN) diperkenalkan untuk menghilangkan kelemahan pengelompokan K-means tambahan.Algoritma ini menggunakan metode yang hampir sama untuk mengelompokkan data tambahan dalam kondisi dinamis seperti K-means, tetapi dapat menangani data yang berisik.Hasil dari Pemilihan pelanggan potensial dari algoritma K-means dan algoritma DBSCAN sama, berikut hasil daftar pelanggan potensial dengan menggunkan dua metode : Bahagia - Bogor ,Cahaya Abadi – Serang, Duta Bangunan Cikaret, Sinar Cibinong – Bogor, Tri Jaya Mandiri – Bogor, Usaha Maju – Serang.Pengerjaan menggunakan algoritma K-means juga proses yang lebih cepat dibanding algoritma DBSCAN serta Pengerjaan algoritma DBSCAN harus disertai dengan penggambaran secara grafik agar data lebih mudah dibaca.

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“…1, June 2023:43-55 regression scenarios. It combines the predictions from multiple decision trees to produce more accurate and robust prediction [18]. Random Forest utilizes a technique called bootstrapping to create multiple subsets from the original dataset.…”

Section: Modellingmentioning

confidence: 99%

Implementation of LightGBM and Random Forest in Potential Customer Classification

Sari,

Romadloni,

Lityaningrum

et al. 2023

TIERS

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Classification is one of the data mining techniques that can be used to determine potential custumers. Previous research show that the boosting method, especially LGBM, produces the highest accuracy value of all models, namely 100%. Meanwhile, for the two bagging methods, Random Forest produced the highest accuracy compared to Extra Trees, namely 99.03%. The research uses the LGBM and Random Forest methods to classify potential customers. The results of this study indicate that in imbalance data the LightGBM method has better accuracy than the Random Forest, which is 85.49%, when the Random Forest is unable to produce a model. The SMOTE method used in this study affects the accuracy of the random forest but does not affect the accuracy of LightGBM. Over all the Accuracy, Recall, Specificity, and Precision values, Random Forest produces a good value compared to LightGBM on balanced data. Meanwhile, LightGBM is able to handle unbalanced data.

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Implementasi Data Mining Pemilihan Pelanggan Potensial Menggunakan Algoritma K-Means

Cited by 5 publications

References 0 publications

Optimizing the Diet of Diabetes Mellitus Sufferers Through Food Mapping Using the Fuzzy Sugeno Method

Optimizing the Diet of Diabetes Mellitus Sufferers Through Food Mapping Using the Fuzzy Sugeno Method

Pemilihan Pelanggan Potensial dengan Menggunakan Algoritma K-means dan DBSCAN untuk Mempromosikan Produk Baru PT. Sinar Makmur Lestarindo

Implementation of LightGBM and Random Forest in Potential Customer Classification

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