To obtain personality criteria based on the work provided, several agencies usually set standard personalities that prospective workers must possess, with the aim that workers can work in fields that support their personalities. Likewise, the Siumbut-umbut Kisaran Village Office sets standard personalities that must be possessed by each employee so that the work carried out has optimal results. This study aims to determine the type of personality appropriate for work in the Siumbut-umbut Kisaran Village Office using the Analytical Hierarchy Process (AHP) method. Decision Support Systems (DSS) are applied to overcome problems in determining standard personalities for employees so that work results are optimal. This study found that the highest personality priority is Phlegmatic (K2), and the prioritized alternative is Eva Wulandari (At1).
This research aims to improve security when every time a user logs in or makes a transaction, an OTP (One time pad) will be sent via email, the OTP code is generated randomly and can only be accessed by the account party that has a valid and valid OTP key at that time. certain. Using the one time pad algorithm provides a very high level of security, because the resulting OTP is unique for each transaction. However, its implementation requires strict discipline in key management and proper encryption or decryption processes so that it can function optimally. This system is designed for account user security to prevent data leaks, thereby minimizing the potential for crimes such as identity theft and fraud. The research results show that not a single OTP was repeated in the 10 transactions carried out. Each OTP code generated is unique and different from previous OTPs, both on successful and failed transactions, proving the effectiveness of the system. This website was created using Visual Studio Code to ensure a stable and efficient system implementation
Heart failure is one of the major health problems that can be fatal if not diagnosed properly and quickly. Therefore, early prediction using artificial intelligence models, especially Artificial Neural Network (ANN), is needed to improve the accuracy in detecting heart failure. This study aims to optimize the activation function in ANN to predict heart failure accurately. Several optimization algorithms tested, namely Adam, RMSprop, SGD, Adagrad, and Adadelta, were used to evaluate model performance in terms of accuracy, precision, recall, and F1-score. The results showed that the Adam optimization algorithm provided the best performance with an accuracy of 86.74%, precision of 75.12%, recall of 66.67%, and F1-score of 70.64%. Meanwhile, other algorithms such as RMSprop, SGD, Adagrad, and Adadelta showed lower performance, with some metrics reaching 0%. This study shows that proper activation function optimization in ANN is very important to improve the model's ability to predict heart failure with a high level of accuracy.
This study originated from the need for a secure election system in academic environments, particularly to address credential theft and cyberattack threats in the security of the Student Presidential election system. Ensuring security in student election systems presents a significant challenge, as conventional authentication methods are prone to voter identity authenticity manipulation. Therefore, this research proposes a two-factor authentication model using Time-Based One-Time Password (TOTP) based on the SHA-512 algorithm. This model provides an additional layer of security through time-based authentication and a stronger hash mechanism against attacks. Testing was conducted involving several user accounts from Gmail applications, where OTP codes were successfully sent to the users' email accounts. The results indicated that TOTP delivery and validation times ranged between 150 and 300 ms, with user satisfaction levels exceeding 80%. The implications of this study include enhanced security in the student presidential election system within academic environments and the potential for broader adoption in other fields requiring user authentication
This study aims to facilitate the travel of tourists visiting Tao Lake and increase travel efficiency by determining the fastest route. One of the methods used to determine the fastest route to Tao Lake is the greedy algorithm method. The advantage of the greedy algorithm is that it is fast in acting and does not take long to consider the consequences of what is decided so that it is very easy to implement in several existing problems. This website was created for the Gunung Tua and Padang Sidempuan areas. The results of the trial of the Tao Lake tourism website using a black box stated that the results of the website's feasibility point were 54% strongly agree, 26% agree, 14% disagree and 6% strongly disagree. The results of the website user satisfaction point were 58% strongly agree, 32% agree, 6% disagree and 4% strongly disagree.
