This research examines the effectiveness of Barium Ferrite and PANI/Fe?O? composite as Radar Absorbing Material (RAM) to reduce radar detection. Barium Ferrite has high absorption at high frequencies as well as good thermal stability, making it suitable for applications under extreme and long-term conditions. In contrast, PANI/Fe?O? composites exhibit high flexibility, the ability to absorb waves over a wider frequency range, as well as light weight, ideal for requirements with lightweight materials, such as aircraft. The analysis shows that the selection of RAM depends on the application requirements regarding frequency range and thermal stability. This study recommends the development of composite materials that combine the advantages of both materials as well as field tests to ensure optimal performance in stealth applications.

This research examines the potential of Epoxy-HGM-Carbon Fibre and Epoxy HGM Sical Woven Fibre composites as alternative materials for bulletproof vests. These two materials were chosen because they have similar ballistic protection capabilities to kevlar but with lighter weight and more economical cost. Using the finite element method, this study simulates the resistance of each composite to the penetration and impact energy of projectiles in accordance with the NIJ 0101.06 standard to protect users from ballistic threats. The simulation results show that the Epoxy-HGM-S Sisal Woven Fibre specimen at an optimum thickness of 30 mm as well as Epoxy-HGM-Carbon Fibre at a thickness of 18 to 30 mm are able to meet the penetration, Back Face Signature (BFS), and residual kinetic energy criteria that comply with the safe limits for users. This research makes an important contribution to the identification of alternative materials that not only improve user comfort and mobility, but also maintain ballistic protection effectiveness for military and security applications, especially for personnel who need protection against ballistic projectiles.

The purpose of this research is to determine the influence of accounting information systems, internal control systems and work motivation on employee performance at PT. Selalu Cinta Indonesia. The research location is at PT. Selalu Cinta Indonesia Semarang. Analysis tools use data reduction, presenting data, and verifying conclusions. The analysis method used is multiple linear regression. Hypothesis testing uses a 5% degree of freedom. The results of the reliability and validity tests show that all question items are reliable and the constructs are valid, besides that the regression meets the model fit. The research results showed that the Accounting Information System (X1) had a significant positive effect on employee performance (Y). Internal Control (X2) has a significant positive effect on employee performance (Y). Work motivation (X3) has a significant positive effect on employee performance (Y).
 

This research aims to analyze the influence of price, product quality and service quality on purchasing decisions. The population in this study was 400 people. The sample in this study was 80 using the Slovin formula. The sampling method used in this research was accidental sampling. The analysis method used is multiple linear. Hypothesis testing uses a 5% degree of freedom. The results of the reliability and validity tests show that all question items are reliable and the constructs are valid, besides that the regression meets the model fit. Hypothesis testing showed that price (X1) had a significant positive effect on purchasing decisions(Y), so hypothesis 1 was accepted. Product quality(X2) has a significant positive effect on purchasing decisions(Y), so hypothesis 2 is accepted. Service quality(X3) has a significant positive effect on purchasing decisions(Y), so hypothesis 3 is accepted.

The Bali Mandiri Cooperative is a cooperative that operates in the savings and loan sector. Data processing of savings and loan activities submitted in credit applications is still done manually so that the credit department must make the right decisions, especially if there are doubts in determining decisions for prospective borrowers, where the doubts are because the criteria for prospective borrowers are almost the same, this is having an impact on the company if the wrong decision occurs in the event of bad credit. The decision support system using Rank Order Centroid (ROC) calculations and the Simple Additive Weighting (SAW) method compares manual and system calculations that show the same results. This system includes data management which provides for managing data criteria, attribute value data, and submitting data (credit applicant data, data selection period, data submission, and decision support system process). This data will produce a credit applicant report and a credit applicant selection report.