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All Journal PELS (Procedia of Engineering and Life Science) Journal Of Information System And Artificial Intelligence
Solehudin Al Ayyubi
Universitas Pembangunan Nasional “Veteran” Jawa Timur
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Comparison of RAM Classification with Decision Tree Algorithms and KNN Solehudin Al Ayyubi; Indira Setia Amalia; Amalia Anjani Arifiyanti
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (789.756 KB) | DOI: 10.21070/pels.v2i2.1200

Abstract

A laptop is a rather small personal computer consisting of a keyboard, screen, microprocessor and usually a rechargeable battery. In the current era of technology, when buying a laptop, we need to have thorough and detailed considerations regarding our needs in using a laptop, especially laptop RAM. By comparing Decision Tree and KNearest Neighbors algorithm, a more accurate algorithm was found to make a prediction in buying a laptop with suitable variable consideration. The result shows that Decision Tree algorithm is more accurate to be used in predicting the suitable laptop RAM. Decision Tree accuracy is 68%, this result is higher than KNN accuracy which is only 66%.
Analisis Penerimaan Ditlantas Jatim Digital Center Menggunakan Metode Technology Acceptance Model (TAM) Solehudin Al Ayyubi; Nurisha Galuh; Bagus Utomo; Christanti Ayu; Feby Dwiputra; Tri Lathif Mardi Suryanto
Journal Of Information System And Artificial Intelligence Vol. 3 No. 1 (2022): Journal of Information System and Artificial Intelligence Vol III, No I Novembe
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v3i1.83

Abstract

Technology acceptance can be defined as the willingness of users to use technology based on the tasks designed to support it. TAM considers the user's perception of ease of use and usability as the main factors influencing the level of acceptance of any technology. TAM is a model used to explain and predict the use of applications, and used to determine user attitudes towards technology acceptance. The purpose of this study was to analyze user acceptance when using the Ditlantas Jatim Digital Center application using the TAM method. This study uses the Technology Acceptance Model (TAM) approach with three constructs, namely perceived ease of use, perceived usefulness and attitudes toward using. The sample in this study has as many as 100 people. From the results of the path analysis, it can be concluded that the perception of ease of use and the perception of usefulness have a significant positive effect on attitudes towards using with a relationship level of 61%.
Co-Authors Amalia Anjani Arifiyanti Bagus Utomo Christanti Ayu Feby Dwiputra Indira Setia Amalia Nurisha Galuh