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All Journal Jurnal Riset Informatika MANAZHIM
Anton Sunardi
STMIK LIKMI
Computer Science & IT Economics, Econometrics & Finance Education

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Multitasking, Pelatihan dan Kecepatan Pengambilan Keputusan Bisnis Anton Sunardi
MANAZHIM Vol 4 No 2 (2022): AGUSTUS
Publisher : Manajemen Pendidikan Islam STIT Palapa Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36088/manazhim.v4i2.1673

Abstract

In an organization or company the management has a big role in the performance of its employees. Training in the form of motivation has an influence on the speed of decision-making that is strategic or business in nature. Previous research believes that a good educational background, skills, and cognitive abilities are the main factors causing the most dominating success in decision making. In the current era, the level of stress and work pressure is getting higher because mostly all professionals are required to be able to achieve the main goal of the company's business strategy, namely speed in making decisions. This study aims to describe, analyze and explore how the effects of multitasking on employees business decision making. The research data collection involved 3 respondents. Data were collected through interviews and observations. Researchers go directly to the field to get accurate and in-depth data through various relevant sources. This study found that in addition to proper training and motivation, there are other things that cause the decision process to be hampered, namely pressure factors, differences in perceptions, and excessive stress levels resulting in job fragmentation.
THE EFFECT OF AMOUNT OF DATA ON RESULTS OF ACCURACY VALUE OF C4.5 ALGORITHM ON STUDENT ACHIEVEMENT INDEX DATA Anton Sunardi; Sienny Rusli; Christina Juliane
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i2.157

Abstract

Of the many academic data, data in the form of an achievement index needs to be used in-depth so that it does not become a display of numbers and information only. This achievement index evaluation data reflects the educational process students and teaching staff carries out in an educational process. This study aims to measure the accuracy of data mining processing based on differences in test data by analyzing the C4.5 algorithm using RapidMiner as a data processing tool and determining the decisions students can make and academic institutions in developing study strategies and educational curricula to be maximized. The data processing is carried out by classifying the student achievement index data at a private university using data analysis test equipment. The data source comes from kaggle.com, which consists of 1687 data that have been processed and processed. The conclusion from the results of this study is that the amount of data turns out to have a significant influence on the accuracy value of the C4.5 algorithm, where an accuracy rate of 91.69% is obtained from the test results of 1687 data with four main attributes, namely IPK1, IPK2, IPK3, IPK4 and correctly or not as a label.
Co-Authors Christina Juliane Sienny Rusli