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All Journal Jurnal Sains dan Informatika : Research of Science and Informatic
Efmi Maiyana
Manajemen Informatika, AMIK Boekittinggi
Computer Science & IT

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Pemanfaatan ANN untuk Prediksi Penjualan Online Industri Rumahan selama Pandemi Covid-19 evi eviyulia; Efmi Maiyana
SAINS DAN INFORMATIKA : RESEARCH OF SCIENCE AND INFORMATIC Vol. 7 No. 1 (2021): Jurnal Sains dan Informatika : Research of Science and Informatic
Publisher : Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.373 KB) | DOI: 10.22216/jsi.v7i1.234

Abstract

Research has been conducted on the use of ANN for predicting online sales of the home industry during the Covid-19 pandemic. The purpose of this study is to train and test neural networks with the backpropagation method to obtain accurate forecasting results. The data were obtained by providing a list of questions to the home industry. The data obtained is separated into 2 parts, the first part is used to train the artificial neural network, the second part is used to test the performance of the artificial neural network. From the training that has been carried out, the success of finding goals according to the predetermined error tolerance value is 0.02 at the 33 epoch, input layer is 5 neurons, the hidden layer is 3 neurons, error tolerance is 0.025, learning rate is equal to 0.1. From the test, we managed to find a goal according to the predetermined error tolerance value, which is 0.2 at the 100 epoch, the input layer is 5 neurons, the hidden layer is 4 neurons, error tolerance is 0.2, the learning rate is equal to 0.1. The conclusion is that the artificial neural network can perform training and testing well, so as to produce precise and accurate predictions, the results of these predictions can be taken into consideration for making a decision.
Analisis Sistem Pakar Berbasis Personality dalam Implementasi Job Matching Resmi Darni; Lativa Mursyida; Efmi Maiyana
SAINS DAN INFORMATIKA : RESEARCH OF SCIENCE AND INFORMATIC Vol. 8 No. 1 (2022): Jurnal Sains dan Informatika : Research of Science and Informatic
Publisher : Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.595 KB) | DOI: 10.22216/jsi.v8i1.978

Abstract

Absorption of vocational graduates into the world of work and industry that has not been optimal is the main focus of this research, one of the factors causing the non-optimal absorption of vocational graduates is the integration of the existing career information system with the needs of the world of work, so that the data and information obtained are not valid, practical and effective. This study aims to explain the process of designing an integrated career system that is able to recommend careers and jobs based on personality. The method used in this study is the 4D method, namely Define, Design, Development and Disseminate. The result of this study is a system application that is able to provide job recommendations based on six personality types that are useful in vocational training. The results of the model construct validation test obtained fit where, p = 0.26972 and RMSEA = 0.029, the expert validity test on aspects of Design 0.88 (Valid), Operational 0.88 (Valid), and Benefits 0.90 (Very Valid), the results practicality test 0.83 (Practical).
Co-Authors evi eviyulia Lativa Mursyida Resmi Darni