Each lecturer is required to carry out the tridarma of higher education, a career to become a lecturer must be professional in accordance with his knowledge and expertise. Almost every year state or private tertiary institutions, give an award to lecturers who excel one of the benchmarks is from the tri darma performance of higher education. At present in determining the right lecturer with good achievements there are still many weaknesses of one of the criteria used. Then the research has the aim to determine the outstanding lecturers by using the right criteria effectively. The method used is the Simple Multi Attribute Rating Technique (SMART) method using Sekolah Tinggi Ilmu Komputer (STIKOM) Muhammadiyah Batam’s lecturer data. The results of this study set the right criteria, so get a very high level of accuracy which is 79%. So this research becomes the right indicator in determining the outstanding lecturers.

Drug suppliers are those who sell and distribute drugs to pharmacies or sections that carry out pharmaceutical activities. Selection of the right supplier can support the operational activities of the pharmacy. Pharmacists must know the right criteria in choosing a supplier. Criteria determined by pharmacies not all suppliers can fulfill it. Overcoming this decision support system is very necessary in the selection of suppliers. Multi-Attribute Utility Theory is a ranking method that helps in supporting supplier selection decisions at Pekanbaru Assyafni Pharmacy. Supplier selection uses 15 sample supplier data and 5 criterion data used as a basis for supplier selection. Such as drug production, delivery time, quality stability, service response, and guarantee. The results of the study get a high degree of accuracy that is 86.67% of the right suppliers and in accordance with the realization of test data. So this research is very important in choosing the right supplier.

The sales pattern in principle is a need to build and develop a business, so that the progress of a business needs a strategic pattern to be able to increase sales. One pattern that can be applied is the sale of herbal products, because the herbal product business if it has the right pattern can certainly increase sales results and convenience for sellers and buyers compared to manual settings. The arrangement of the composition of herbal products can make it easier for customers to choose related products. Sustainable product predictions can be easily recognized by sellers. The prediction of sales patterns in this study uses transaction data as many as 33 sales transactions in less than the last three months sourced from sales of herbal products from HNI Business Center 2 Batam. Based on sales analysis using the FP-Growth algorithm, it has been able to predict the sales pattern of herbal products in the future. Furthermore, the transaction data is processed using Rapidminer Studio version 9.0 software with a total of 68 transaction data, so from the results of testing this method, the percentage of success is 80%. The comparison uses 10 samples of sales data. Opportunities to choose interrelated products are very helpful for customers when shopping and predicting future customer needs. Prediction of sales pattern has been able to help in overcoming the instability of herbal product inventory at HNI Business Center 2 Batam.

Perkembangan teknologi memberikan dampak yang besar terhadap perkembangan dunia bisnis. Persaingan dalam dunia bisnis sangat ketat sehingga perlu melihat potensi transaksi penjualan produk dan memiliki strategi penjualan produk yang tepat. HNI Business Center 2 merupakan salah satu toko yang menjual produk herbal. Dengan banyaknya permintaan obat herbal pada saat covid-19 maka diperlukan stok obat guna meningkatkan penjualan produk. Maka diperkulan suatu anlisis untuk membantu pimpinan HNI Business Center 2 mengetahu produk yang harus ditingkatkan stoknya sesuai dengan data transaksi pelanggan. Maka dari permasalahan tersebut konsep yang bisa terapkan adalah data mining. Data yang di analisis nantinya menggunakan data mining adalah sejumlah 50 transaksi penjualan. Dengan menggunakan Minimum Support = 50% dan Maximum Support = 50%. Hasil penelitian ini dapat digunakan oleh HNI Businss Center 2 untuk mengambil keputusan menyetok kesediaan poroduk herbal.