Penerapan Algoritma C4.5 Dalam Memprediksi Ketersediaan Uang Pada Mesin ATM

This study aims to provide an evaluation of the availability of money in ATM machines using data mining. Data mining with the C4.5 algorithm is used to predict cash demand or total cash withdrawals at ATMs. To determine the need for ATM cash based on cash transaction data. It is hoped that this forecasting can help the monitoring department in making decisions about the money requirements that must be allocated to each ATM machine. The results of this study are expected to assist the ATM management unit in optimizing and monitoring the availability of money at an ATM machine for cash needs, so that it can provide optimal service to customers. Algortima C4.5 is an algorithm that is able to form a decision tree, where the decision tree will then generate new knowledge. The results of the test matched the data on the availability of money at the ATM machine. The results of implementing the C4.5 method on the availability of money at the ATM machine are seen from the travel time to the ATM location and also the remaining balance in the machine. The resulting decision tree model is to make the balance variable as the root, then the travel time as a branch at Level 1 with the variables fast, medium, long, and the bank becomes a branch at the last level (Level 2). Then the C4.5 algorithm was tested using the K-Fold Cross validation method with the value of fold = 10, it can be seen that the accuracy rate is 85%, the Precision value is 80% and the Recall value is 66.67%. While the AUC (Area Under Curve) value is 0.833, this shows that if the AUC value approaches the value 1, the accuracy level is getting better

Sumbangan Koordinasi Mata-Kaki, Kelincahan, Keseimbangan Dinamis dan Fleksibilitas Togok Terhadap Kemampuan Menggiring Bola pada Permainan Sepakbola

The The objective of research was to find out the significant contribution of independent variables partially (eye-foot coordination, agility, dynamic balance, and torso flexibility) to dribbling ability and the significant contribution of independent variables simultaneously to dribbling ability. This research employed a correlational descriptive quantitative approach with regression analysis design. The sample of research was student football players in Nusantara PGRI University of Kediri, consisting of 40 taken from total population 60 players. The sampling technique used was simple random sampling one. Technique of analyzing data used was regression analysis with SPSS version 16 software help. The result of data analysis showed that: (1) X1 contributed significantly to Y with tstatistic = 5.472 > ttable = 2.021, (2) X2 contributed significantly to Y with tstatistic = 2.716 > ttable = 2.021, (3) X3 contributed significantly to Y with tstatistic = 3.046 > ttable = 2.021, (4) X4 contributed significantly to Y with tstatistic = 2.595 > ttable = 2.021. From the result of research, it could be concluded that eye-foot coordination variable contributed by 29.5%, agility variable by 26.8%, dynamic balance variable by 4.8%, and torsion flexibility variable by 5.8%. Meanwhile, all of independent variables contributed to dribbling ability by 95.8%.

An Energy-Saving Way to Balance Variable Negative Load Based on Back-Stepping Control With Load Observer

Traditionally, counterbalance valve (CBV) is widely used to counterbalance negative load of fluid power machinery. CBV introduces extra energy consumption and oscillation to hydraulic system especially for time varying system. The essence of its shortcoming is the inflexibility of the control architecture. In this article, a proportional orifice is adopted to counterbalance negative load, which makes the control strategy flexible. A load observer is proposed to demonstrate the load dynamically. A control algorithm based on back-stepping design is proposed in this paper afterwards, aiming at keeping the inlet chamber pressure of the actuator around a fairy small value. The control error is estimated, as well. A simulation for the process of the excavator booming down is carried out to verify the observer and control algorithm, which proves the energy-saving target achieved.

FUNGSI KONSUMSI RUMAH TANGGA DI INDONESIA (Pendekatan Model Koreksi Kesalahan)

Keynesian theory about consumption states that household consumption (C) related positively with present income: the greater income the more consumption. Beside that, interest rate influence negatively toward household consumption, because if the interest rate is low then the loan cost also low, so the factor encourage household to increase it consumption. The results showed that income level related positively with household consumption level. While the interest rate related negatively with consumption level. It means that the greater income encourage the household to increase its consumption. But the increase is not as high as the income level. Then the higher interest rate will cause the household increase its saving, so decrease the consumption. The test by using error correction model (ECM) showed that balance variable of ECT is significant, where for that the household consumption adapted with the income level change and the interest rate at the same period.