Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET)
Taufa Fadly
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
IMPLEMENTATION OF AN INTELLIGENT SYSTEM TO PREDICT PRODUCT DEMAND WITH THE BACKPROPAGATION NEURAL NETWORK ALGORITHM Rahmat Idhami; Andri Saputra; Taufa Fadly; Robet Silaban; Muhammad Syahputra Novelan
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 1 (2025): DECEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v5i1.1591

Abstract

Accurate production prediction is essential in product sales efforts, especially food products whose raw materials have a short shelf life. This paper aims to present a system application model based on the Neural Network algorithm to predict the number of Siomay sales in the future, as a reference for preparing raw materials appropriately. The prediction uses historical data as system training data. The Neural Network trial used 357 historical sales data, 7 initial data used as references, 315 data as training data, and 35 latest data as test data. The neural network input variables were the average sales of the previous 7 days, sales value 1 to 3 days before, the end of the month, identification of discount/benefit days, and weekends. This research methodology includes data collection, pre-processing through data normalization to a scale of [0, 1], and designing a neural network architecture consisting of an input layer, a hidden layer, and an output layer. The Backpropagation algorithm was used to train the network by iteratively updating weights to minimize error values ​​using the Mean Squared Error (MSE). Test results show that the BPNN model is capable of recognizing demand patterns with a high degree of accuracy. Optimal parameters such as learning rate, number of epochs, and number of neurons in the hidden layer significantly influence convergence speed and prediction accuracy. This system is expected to be a management tool for making more accurate and efficient inventory procurement decisions.
THE INFLUENCE OF COMPUTER TECHNOLOGY DEVELOPMENT ON SOCIAL BEHAVIOR Rahmat Idhami; Robet Silaban; Andri Saputra; Taufa Fadly; Muhammad Amin
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 4 No. 12 (2025): NOVEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v4i12.1592

Abstract

The development of computer technology has brought significant changes to various aspects of people's lives, including social behavior. Computers integrated with the internet network not only function as data processing tools but also as the main medium for communication, social interaction, and the formation of new social relations. This study aims to analyze the influence of the development of computer technology on people's social behavior through a literature study approach. The research method used is a literature review of relevant scientific articles, which discuss the relationship between the use of computer technology and changes in social behavior. The results of the study indicate that the development of computer technology has positive impacts, such as ease of access to information, expansion of social networks, and increased digital literacy in society. However, negative impacts were also found, including reduced intensity of face-to-face social interactions, the emergence of digital dependency, and changes in social values ​​and communication norms in society. These changes indicate that computer technology plays a significant role in influencing the social dynamics of modern society. Therefore, it is necessary to utilize computer technology wisely so that the resulting social benefits can be optimized without ignoring the social and cultural values ​​that apply in community life.
Co-Authors Andri Saputra Muhammad Amin Muhammad Syahputra Novelan Rahmat Idhami Robet Silaban