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All Journal International Journal of Educational Review, Law And Social Sciences (IJERLAS) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Penelitian Teknologi Informasi dan Sains
Saidan Sany Lubis
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Analisis Big Data untuk Prediksi Permintaan Produk dalam E-commerce Sumita Wardani; Saidan Sany Lubis; Rico Wijaya Dewantoro
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 3 No. 1 (2025): JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v3i1.3066

Abstract

The rapid development of e-commerce has generated huge volumes of data, opening up opportunities to analyze product demand patterns more accurately. This research aims to develop a product demand prediction model based on big data analysis. The data used includes sales transactions, product searches, customer reviews, and external factors such as seasons and promotions. The main methods used are machine learning techniques such as random forest regression and neural networks to build predictive models, with data extraction, transformation, and analysis processes carried out using big data platforms such as Hadoop and Spark. The resulting model is evaluated using accuracy metrics, such as mean absolute error (MAE) and root mean square error (RMSE), to measure prediction performance. The results show that the use of big data in product demand prediction can increase the accuracy of inventory planning and stock management by up to 25% compared to conventional methods. These findings make a significant contribution to the optimization of e-commerce operations, especially in more efficient and timely data-driven decision-making.
ANALYSIS OF COMPENSATION AND WORKING ENVIRONMENT ON LECTURER PERFORMANCE AT AL AZHAR UNIVERSITY MEDAN Saidan Sany Lubis; Yeni Absah; Vivi Gusrini Rahmadani Pohan
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 4 No. 4 (2024): July
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v4i4.1781

Abstract

The purpose of this study was to evaluate various aspects of the performance of lecturers at Al Azhar University Medan in terms of compensation and work environment. The population used is all lecturers of Al Azhar University Medan with the sample used using Slovin totaling 54 people. The data analysis technique used is using the classical assumption test consisting of (normality, heterocedacity, multicolonierity), multiple linear regression test, t test, f test and determination test using SPSS (Statistical Package for the Social Sciences). The results of this study indicate that 1) Compensation has a positive and significant effect on Lecturer Performance, 2) Work Environment has no effect and is not significant to Lecturer Performance, 3) Compensation and Work Environment affect Lecturer Performance simultaneously.
ANALYSIS OF SALARY AND INCENTIVES ON LECTURERS' PERFORMANCE AT AL AZHAR UNIVERSITY MEDAN Saidan Sany Lubis
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 4 No. 4 (2025): MARCH
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v4i4.714

Abstract

This study aims to analyze the effect of salary and incentives on lecturer performance at Al Azhar University Medan. Lecturer performance is a major factor in improving the quality of education, which is influenced by various aspects, including financial compensation. This study uses a quantitative method with regression analysis techniques. The results of the study indicate that salary and incentives have a positive and significant effect on lecturer performance, both partially and simultaneously. This finding confirms that good compensation can increase lecturer motivation, productivity, and loyalty in carrying out their academic duties. Therefore, salary and incentive policies must be adjusted to the needs and expectations of lecturers in order to achieve optimal performance.
Co-Authors Rico Wijaya Dewantoro Sumita Wardani Vivi Gusrini Rahmadani Pohan Yeni Absah