Application of Neural Network Methods Based on Genetic Algorithm for Breast Cancer Prediction

Cancer is a major challenge for mankind. Cancer can affect various parts of the body. This deadly disease can be detected in people of all ages. However, the risk of cancer increases with increasing age. Breast cancer is the most common cancer among women, and form largest cause of death for women as well. Then there are problems in the detection of breast cancer, resulting in the patient experiencing unnecessary treatment and cost. Insimilar studies, there are several methods used but there are problems due to the shape of the cancer cells are nonlinear. Neural networks can solve these problems, but neural network is weak in terms of determining the value of the parameter, so it needs to be optimized. Genetic algorithm is one of the optimization methods is good, therefore the values ​​of the parameters of the neural network will be optimized by using a genetic algorithm so as to get the best value of the parameter. Neural Network-based GA algorithm has the higher accuracy value than just using Neural Network algorithm. This is evident from the increase in value for the accuracy of the model Neural Network algorithm by 95.42% and the accuracy of algorithm-based Neural Network algorithm GA (Genetic Algorithm) of 96.85% with a difference of 1.43% accuracy. So it can be concluded that the application of Genetic Algorithm optimization techniques to improve the accuracy values on Neural Network algorithm

The Influence of Work-Family Conflict, Workload, and Work Pressure as Mediating Variables on the Performance of Female Employees

Purpose – The main purpose of this study was to assess how Work-Family conflict, workload, and work stress function as mediating factors influencing the performance of female employees at BPS (Central Bureau of Statistics) in the West Sumatra Province.  Methodology – This quantitative investigation was conducted using a survey approach, with the sample consisting of 188 married or formerly married female employees out of a total of 128 participants. A questionnaire was used as an instrument which was designed using Google form and consisted of 58 questions. Furthermore, the sampling was carried out using Cluster Sampling, with districts/cities serving as the clusters. Descriptive statistical and Partial Least Square (PLS) analyses were adopted for the data analysis process using the Smart PLS 3.2.3 program. Findings – The results showed that workload and Work-Family conflict had a positive influence on both work pressure and the performance of female employees. Meanwhile, Work-Family conflict and work pressure negatively influenced the performance of female employees. A negative influence was also observed on the performance of women employees due to Work-Family conflict, mediated through work pressure. Originality – This research investigated the influence of Work-Family conflict and workload on the performance of women employees, mediated by job pressure

Implementation of Business Intelligence in Data Superstore Sales with Online Analytical Processing Method

Transaction data in superstore sales data are very useful for company development, can be used to describe and forecast or predict future sales transaction data and to study the past about business opportunities and challenges. The use of Business Intelligence (BI) technology can help analyze large amounts of data, in addition, BI is a powerful tool for quality analysis and company analysis. This study designed an information system using the BI approach to analyze transaction data on superstore sales data. The research focus is on report data, namely superstore sales data regarding sales transactions. This study uses the OLAP method to describe data visualization so that it provides benefits and competitive advantages. This system can improve the quality of decisions taken in solving the problem of abundant data accumulation, monitoring operational activities, fulfilling information needs and effective data management. Business intelligence is expected for company leaders to be able to understand the data that will have been processed in understanding visual forms and can easily absorb the information needed to make decisions for the company. In addition, with the design of website-based business intelligence that is effective and efficient to produce opportunities in making decisions to predict the increase or decrease that will occur in the coming years using the histories in the superstore sales data of the previous year

Monitoring Computer Activities with Cloud to Device Messaging (C2DM)

In a particular division, a supervisor needs to perform monitoring of the activities carried out at his employers to improve the performance of the work of his subordinates. Leaders are often not in place to monitor the activities of his subordinates in carrying out their responsibilities. One solution to overcome these problems is to supervise the use of their computer by means of push notification. By utilizing the technology of Cloud to Device Messaging (C2DM), supervisor can monitor computer activities of his employers anywhere. Given this research, is expected to help the supervisor in monitoring his employers despite not being in place. This may indirectly improve performance in a division. For further research can be developed monitoring in a real time

PENGGUNAAN POLINOMIAL UNTUK STREAM KEY GENERATOR PADA ALGORITMA STREAM CIPHERS BERBASIS FEEDBACK SHIFT REGISTER

Karya tulis yang berjudul “Penggunaan Polinomial untuk Stream Key Generator pada Algoritma Stream Ciphers Berbasis Feedback Shift Register” ini kami tulis dalam rangka memperkenalkan salah satu algoritma sandi yang memanfaatkan kontribusi ilmu Matematika didalamnya. Perkembangan ilmu pengetahuan dan teknologi informasi dan komunikasi yang sedemikian pesat dewasa ini, telah dirasakan manfaatnya dalam kehidupan dunia yang modern, namun sangat jarang kita berfikir dampak negatif dan faktor pengamanannya dalam rangka menjamin kerahasiaan suatu informasi agar tidak jatuh ke pihak yang tidak berkepentingan. Hal ini telah mendorong perkembangan ilmu pengetahuan dan teknologi persandian yang semakin maju dan kompleks seiring dengan perkembangan ilmu pengetahuan dan teknologi informasi dan komunikasi yang ada sekarang ini. Ilmu persandian / kriptografi adalah ilmu yang erat kaitannya dengan ilmu Matematika. Kontribusi ilmu Matematika dalam bidang persandian cukup mendukung dalam rangka terciptanya suatu algoritma sandi modern. Salah satunya adalah penggunaan polinomial untuk pembangkit kunci (key generator) pada algoritma stream chipers. Polinomial digunakan sebagai penentu koordinat operasi logika dalam pembangkit kunci (key generator). Output dari pembangkit kunci (key generator) adalah berupa rangkaian bit untuk selanjutnya dilakukan operasi penyandian (enkripsi) pada kode ASCII setiap karakter teks terang (plain text) secara bit per bit. Hasil penyandian atau yang disebut cipher text adalah berupa rangkaian bit sandi yang akan membentuk kode ASCII baru untuk selanjutnya diterjemahkan menjadi karakter baru. T-3 Kata kunci: polinomial, feedback shift register, stream ciphe

Pengaruh Kualitas Pelayanan terhadap Loyalitas Pelanggan yang Dimediasi oleh Kepuasan Pelanggan pada Mifan

Pengaruh kualitas pelayanan di Mifan (Minang Fantasi) Padang Panjang Water Park terhadap loyalitas pelanggan dan dimediasi oleh kepuasan pelanggan merupakan tujuan dari penelitian ini. Penelitian ini menggunakan pengunjung Mifan (Minang Fantasi) Padang Panjang Water Park yang berkunjung lebih dari dua kali. Menurut rumus Chokhroan, terdapat total 97 sampel. Penelitian ini menggunakan metode kausal dengan menggunakan data primer yang diperoleh dengan menyebarkan kuesioner secara online menggunakan Google Forms. Perangkat lunak SmartPLS 4.0 digunakan untuk melakukan analisis data dengan metode SEM. Dari hasil penelitian dapat disimpulkan bahwa reliability dan assurance tidak berpengaruh terhadap customer satisfaction dan customer loyalty dimediasi oleh customer satisfaction. Kepuasan pelanggan secara signifikan mempengaruhi loyalitas pelanggan. Daya tanggap, empati dan bukti berpengaruh terhadap kepuasan dan loyalitas pelanggan. Faktor-faktor tersebut berpengaruh secara tidak langsung terhadap kepuasan pelanggan