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Contact Name
Danang
Contact Email
lpkdgeneration2022@gmail.com
Phone
+6285726173515
Journal Mail Official
danang@stekom.ac.id
Editorial Address
Jl. Diponegoro No.69, Dusun I, Wirogunan, Kec. Kartasura, Kab. Sukoharjo, Provinsi Jawa Tengah
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Kota adm. jakarta timur,
Dki jakarta
INDONESIA
Journal of Engineering, Electrical and Informatics (JEEI)
ISSN : 28100557     EISSN : 28098706     DOI : https://doi.org/10.55606/jeei.v1i3
Mechanical Engineering, Electrical Engineering, Information Systems and Industrial Engineering. Journal of Engineering, Electrical and Informatics
Articles 3 Documents
Search results for , issue "Vol 3 No 3 (2023): Oktober: Journal of Engineering, Electrical and Informatics" : 3 Documents clear
Digital Asset Analysis, Design, Develop And Deliver For LMS According To Scorm Standard, Case Study: Vocational High School Of Software Engineering Migunani Migunani
Journal of Engineering, Electrical and Informatics Vol 3 No 3 (2023): Oktober: Journal of Engineering, Electrical and Informatics
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i3.2216

Abstract

In this study, we evaluated the limitations of using learning resources that can be used in a Learning Management System (LMS) platform, which cannot be packaged and can be used again in processing, combining, and rearranging learning based on learning objects that already exist in different LMS platforms. Studying content with formats other than SCORM is not easy adapted to the needs because the content must be reorganized every time using a different platform. Therefore, it is necessary to analyze and design learning according to the SCORM format to meet the ISO 19796-1 standard platform. This standard has the ability to share, reuse, and interoperate learning objects. The challenge in the world of education today is how to build a knowledge-based society. The building of e-learning plays an important role. Currently, the e-learning portal is a very diverse learning management system (LMS) platform used by schools or tertiary institutions. In addition, the types of learning resources and content are also diverse. It does not meet the e-material design requirements based on mechanisms that can be shared, reused, and operated on different platforms to meet the granularity element. The results provide insight and highlight the mismatch between digital learning and digital asset standards, especially in Indonesia. This helps us analyze, design, develop, and submit digital assets for electronic learning materials in vocational high school software expertise programs in accordance with SCORM Standards.
Notary Deed Security Application Using RC4 Method on Android-Based Reza Saputra; Yuli Asriningtias
Journal of Engineering, Electrical and Informatics Vol 3 No 3 (2023): Oktober: Journal of Engineering, Electrical and Informatics
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i3.2252

Abstract

In the digital era, security concerns related to notary deeds can arise due to several factors, particularly in safeguarding important documents. Without a secure application, these important documents, such as notary deeds, can be threatened by unauthorized access. This could result in material or reputational loss for both the notary and the client. This application provides facilities for users to encrypt and decrypt notarial deeds in several file types, including PDF, Excel, Microsoft Word, and images. The encryption and decryption process in this application utilize the RC4 method. In this application, users can process notarial deeds to be encrypted according to the type of document file they possess in order to obtain an encrypted files ready to be sent or exchanged notary deed data. The application result will display the history of the encrypted document, the date when the file was encrypted, as well as the token in the file for the decryption process. Keywords: Notarial Deed, RC4, Encryption, Decryption, Token
The Implementation of Artificial Neural Networks for Stock Price Prediction Akbar Maulana; Enny Itje Sela
Journal of Engineering, Electrical and Informatics Vol 3 No 3 (2023): Oktober: Journal of Engineering, Electrical and Informatics
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i3.2254

Abstract

This research is based on a problem that is difficult to predict stock prices, especially for beginners. Stock prices are hard to predict because they are fluctuating. Users will be easier to predict stock prices through artificial neural networks using Multilayer Perceptron. This MLP is a variant of an artificial neural network and is a development of perceptron. The selection of the Multilayer Perceptron method is based on the ability to solve various problems both classification and regression. The research conducted by the author is a regression problem as the MLP is tasked to predict the close price or closing price of stock after seven days. The results of the model built are able to predict stock prices and produce good accuracy because the resulting RMSE value produced 0.042649862994352014, which is close to 0. Keywords: Machine Learning, Stock Price Prediction, Neural Network, Multilayer Perceptron, MLP.

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