Precision marketing provides the ability for companies to offer products made specifically to customers and provide the ability for companies to attract customers with specially made marketing messages. This paper presents a new decisionmaking framework using data mining techniques. First, this study presents a trend model for accurately predicting monthly supply quantities; second, using the RFM (Recency, Frequency, Monetary) model to choose attributes to group customers into different groups; third, using the K-Means Algorithm to create customer clustering based on RFM data of each customer, fourth, using Decision Tree to identify attribute values that are important for distinguishing different customer groups; and finally, from the process of data mining that researchers do create various bidding strategies that target each customer cluster. Sales data from Syifamart in Subang, West Java, were collected and used in a case study to illustrate how to implement the proposed framework. The research shows that the process of data mining from sales transaction history is 351,158 rows, with customer-based aggregation using the RFM method and extracted using the k-means clustering algorithm to form 4 (four) optimal clusters. The four (four) clusters are classified using a decision tree algorithm so Syifamart can find out which potential customers and potential customers. For the availability of stock supply, management predicts the need for product inventory using a trend method where the stock in the following month is predicted by using the sales history in the previous month.Kata Kunci: Pemasaran Presisi, Metode Tren, RFM, K-Means, Decision Tree. PENDAHULUANDalam menjalankan roda bisnis, perusahaan membutuhkan strategi pemasaran yang cocok dan efektif dengan bisnis yang sedang mereka jalankan. Hal itu bertujuan untuk menarik pelanggan lebih banyak lagi serta meningkatkan penjualan
Kegiatan pendampingan kelompok belajar siswa menggunakan metode drill pada muatan matematika bertujuan untuk: memberikan pendampingan belajar mengenai materi muatan matematika kepada siswa-siswi SD Negeri Beji 03. Metode pendekatan untuk pelaksanaan kegiatan pengabdian masyarakat ini meliputi metode drill, metode ceramah dan metode tanya jawab. Hasil yang dicapai pada pelajaran matematika adalah meningkatnya pemahaman konsep siswa serta meningkatkan kemampuan siswa dalam mengerjakan soal-soal pada muatan matematika. Hal ini ditunjukan dari rata-rata nilai pretest dan postest yang meningkat dari awalnya 5,0 menjadi 6,5. Hasil angket respon kepuasan siswa dalam kegiatan pendampingan menunjukkan bahwa siswa dalam kegiatan pendampingan belajar menilai kegiatan pendampingan belajar ini sangat bermanfaat dan menyenangkan. Kegiatan pendampingan belajar ini juga memberikan pengalaman langsung kepada siswa kelas 6 SD Negeri Beji 03.
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