SMK Sirajul Falah is a Vocational High School located in the Bogor area. However, the selection of the favorite majors in SMK Sirajul Falah is still qualitative so that the process of choosing the favorite majors become not accurate. This is what makes the need for a method that is able to manage the data of the selection of the favorite majors and generate a ranking of the calculation of the weight of the selection of the favorite majors. In the selection of these favorite majors, there is a method of Simple Additive Weighting (SAW) which can be used in quantitative problem-solving. The SAW method is used to compare each criterion with one another, so as to give the results of the favorite majors and provide an assessment of each department at the Sirajul Falah Vocational School.

Waru Village is one of the villages in the Bogor Regency area. However, the selection of recipients of the Hope Family Program (PKH) in Waru Village is still subjective/qualitative so that the process of receiving the Hope Family Program (PKH) in Waru Village is not accurate and has not been on target. This makes the need for a method that can manage data on recipients of the Hope Family Program (PKH) and produce a ranking from the calculation of weight for the selection of recipients of the Hope Family Program (PKH). In making decisions about recipients of the Hope Family Program (PKH), there is a Simple Additive Weighting (SAW) method that can be used in quantitative problem-solving. With the SAW method, each criterion is compared with one another to provide results of recipients of the Hope Family Program (PKH) and provide an assessment of each recipient (alternative) of the Hope Family Program (PKH) in Waru Village. This study aims to determine the recipients of the PKH assistance program so that it can produce a decision on recipients of PKH assistance that the government distributes to the Waru village accurately on target.

Website Ilmukomputer.com is an e-Learning community that shares literature and lecture materials for free in the field of computing aka computer science and information technology in the Indonesian language. The main mission is to take part in the efforts to educate the nation's children, especially in computer science education, because the content of the website Ilmukomputer.com contains about computer science is more detailed again compared with the science of engineering faculty students get on campus.This research is done by using Technology Acceptance Model (TAM) method. This research uses 3 (three) variables, namely Perceived usefulness, Perceived Ease of Use and Attitude Toward Using. The data used are primary data obtained through questionnaire survey to students of Faculty of Informatics Engineering in Kota Bandung who has been using Ilmukomputer.com Website as a medium of information with a sample of 100 people. Data processed using SPSS software version 22.The results of this study note that the perception of benefit significantly affect the user attitude that is equal to 0.652 or 65.2%, the perception of ease of influence on user attitudes that is equal to 0.735 or 73.5%, and perceptions of usefulness, perceived ease of use significantly influence the attitude of users with the level Relationship R 0.877 = 87.7% and Rsquare 0.770 = 77%.

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

Kecemasan (anxiety) merupakan perasaan takut yang tidak jelas penyebabnya dan tidak didukung oleh situasi yang ada. Dimasa pandemi covid-19 (Penyakit Virus Corona) ibu hamil merasa cemas. Kecemasan ibu didasarkan pada bagaimana penyebaran virus ini, yaitu melalui tetesan pada saat bersin, batuk atau berbicara. Tujuan dari penelitian ini untuk mengetahui kecemasan ibu primigravida karakteristik selama pandemi covid-19 di Desa Mekarjaya Kecamatan Cimahi Kabupaten Kuningan. Metode penelitian yang digunakan adalah kuantitatif dengan rancangan observasional, diambil dari data primer pada bulan April, jumlah populasi 27 responden, dengan menggunakan teknik total sampling. Instrumen yang digunakan yaitu kuesioner HARS yang terdiri dari 14 pertanyaan dan penggunaan analisis univariat. Hasil analisis univariat, tingkat kecemasan paling tinggi sedang 12 (44,4%) responden. Berdasarkan kelompok usia, kecemasan lebih banyak pada kelompok usia (20-35 tahun) dengan kecemasan sedang 12 (50%) responden. Berdasarkan status pendidikan, banyak terjadi pada kelompok tamat jenjang SMA/sederajat lebih kecemasan sedang sebanyak 7 (58,3%) responden. Berdasarkan status pekerjaan lebih banyak pada kelompok yang tidak bekerja dengan kecemasan sedang sebanyak 12 (54,5%) responden. Dari penelitian ini dapat dikatakan, responden lebih banyak memiliki tingkat kecemasan sebanyak 12 (44,4) responden. Saran bagi instansi kesehatan melakukan penyuluhan tentang kecemasan selama pandemi covid-19 pada ibu hamil primigravida dan rutin melakukan ANC.