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All Journal Journal of Community Service (Abdisci) Journal Of Engineering Sciences (Improsci)
Maturidi, Ade Johar
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Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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Evaluation of the Multiple Regression Analysis Algorithm on Stock Market Prediction Setiawan, Mohamat; Maturidi, Ade Johar; Novianti, Dian
Journal of Engineering Sciences Vol 2 No 2 (2024): Vol 2 No 2 October 2024
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/improsci.v2i2.494

Abstract

Financial time series is one of the most challenging applications of modern time series forecasting. The financial time series is closely related to noise, non-stationary, and deterministic chaos. The characteristics suggest that no complete information can be obtained from the past behavior of financial markets to fully capture the dependency between future prices and that of the past. The data collection method was collected from the Stock Market Online Application "MetaTrader version 4" type "Daily" with a time range from "03/09/2001 to 25/07/2012", as many as 2052 data", with the attributes "Date, Open, High, Low, Close, Volume" with the main attribute "Close" using the Support vector machine algorithm, artificial neural network, and multiple linear regression. The conclusion of the value that is close to the series value is the value by testing on the support vector machine algorithm, with the parameter for the RMSE value that is close to the "0" value obtained from the measurement results on the SVM algorithm on the RBF kernel (radial base function) with a value of "gamma" γ = 100 with the value of RMSE = 0.000, and SE = 0.000. with prediction accuracy error = 0.976
MICROSOFT WORD SKILLS TRAINING FOR STUDENTS OF ISLAMIC HIGH SCHOOL WERU LOR, WEST JAVA, INDONESIA Maturidi, Ade Johar; Suharti, Lilis; Setiawan, Moh; Irfan , M. Taufik
Jurnal Abdisci Vol 3 No 3 (2026): Vol 3 No 3 Tahun 2026 (IN PROGRES)
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/abdisci.v3i3.858

Abstract

Introduction. In the digital age, proficiency in digital technology, especially Microsoft Word, is an important skill for students to improve their academic and professional competence. To meet this need, a Microsoft Word training programme was implemented at SMA Islamiyah Weru Lor. This study aims to evaluate the effectiveness of the training in improving students' skills in utilising Microsoft Word features, including mail merge. Method. The training was conducted through three main stages: preparation, implementation, and evaluation. During the preparation stage, training needs were identified, and relevant materials were developed. The implementation stage employed a blended learning approach, combining theoretical explanations with hands-on practice to ensure students could effectively apply their knowledge. The evaluation stage was conducted through a post-training questionnaire to measure skill improvement. Results and Discussion. The results showed a significant improvement in students' abilities, with an average score of 3.77 out of 5, categorised as ‘good. The discussion highlighted that practical training methods contributed to a deeper understanding and more effective application of Microsoft Word tools. Additionally, the mail merge feature, which was previously unfamiliar to most participants, was successfully mastered by the majority. Conclusion. In conclusion, this training effectively improved students' digital literacy in the use of Microsoft Word. Future programmes should include more advanced features and longer training sessions to achieve a higher level of competence. The success of this initiative highlights the importance of structured digital skills training in educational institutions.
Co-Authors Irfan , M. Taufik Novianti, Dian Setiawan, Moh Setiawan, Mohamat Suharti, Lilis