Financial management as an integral part of general management has a crucial role in the survival and growth of a company. In a constantly changing business environment with complex market dynamics, the application of financial management functions is becoming increasingly crucial in determining the direction and financial performance of the company. In this study, the approach used is a qualitative approach, which is a research process and understanding based on methodologies that investigate social phenomena and human problems. This research has a characteristic that lies in its purpose, namely describing, studying and explaining the phenomenon to be studied. Which contains the results of research on CV. Canbe Kosmetik Indonesia, the application of the financial management function is running well as the SOP set by the company. By applying the functions of financial management itself in the form of planning, organizing, directing, coordinating, and supervising.

Abstrak
Pada penelitian ini yang  dijadikan objek penelitian dalam mengklasifikasikan anggur merah berdasarkan kualitas yang dipengaruhi oleh setiap anggur merah atau red wine berdasarkan pada kandungan setiap jenis wine, dari setiap atribut yang berisi komposisi dalam wine dilihat atribut mana yang paling mempengaruhi kualitas dari red wine, sehingga akan diketahui ingridents yang bisa meningkatkan kualitas dari wine tersebut, dalam penelitian ini dilakukan dengan penerapan Machine learning dengan membandingkan tiga algoritma data mining yaitu, Decission Tree, Random Forest dan Support Vector Machine (SVM), dari hasil penelitian yang telah dilakukan dengan mebandingkan ketiga algoritma, dihasilkan Random Forest menghasilkan akurasi paling baik diantara algoritma lainya yang telah diuji. Random Forest dengan hasil akurasi  0.7468 menjadikan algoritma ini paling baik digunakan untuk memgklasifikasikan kualitas red wine. Dan diurutan kedua  Decission Tree dengan hasil akurasi sebesar 0.7031, sedangkan Support Vector Machine (SVM) mendapatkan hasil akurasi sebesar 0.65. Jadi pada penelitian yang telah dilakukan untuk menngklasifikasikan kualitas red wine berdasarkan komposisinya Random Forest menjadi algoritma paling baik untuk digunakan.

The innovation of the robot cars today is moving very fast. The robot car is capable of being driven without using manual remote controls. One form of technological development in robot car control is by using hand gestures. The microcontrolle placed in the palm of the hand will read the direction of movement of our hands, then the instructions are transmitted to the robot car.  The transmission system used in the microcontrolled circuit in the palm of the hand and the receiver circuit inside the robot car must be properly attached. This is influenced by the quality of programming language levels and the arduino mini pro and MPU-6050 circuits. Hand gesture directional readings are able to be easily readable and directly transmitted by the NRF24L01 module via radio waves. The response power of the robot car in receiving hand-move instructions can be received as far as 45 m. In addition to using a good arduino mini pro, the addition of antenna modules will also increase the quality and distance of the connection is getting farther..