Article Per Year (5 Year)
p-Index From 2021 - 2026
2.024
P-Index
This Author published in this journals
All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknologi Informasi dan Terapan (J-TIT) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Technology and Informatics (JoTI) TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Jurnal Minfo Polgan (JMP) Abdimas Indonesian Journal Journal of Digital Business Innovation
Afandi, Khoirunnisa
Universitas Dr. Soebandi
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Social Sciences

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Evaluasi Indikator Kinerja Teknologi Informasi Informasi pada Anak Perusahaan BUMN Bidang Jasa Teknologi Afandi, Khoirunnisa; Suryanendra, Adjie; Anwar, Khoirul
Journal of Digital Business Innovation Vol. 1 No. 1 (2023): NOVEMBER
Publisher : LPPM Universitas dr. Soebandi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36858/digbi.v1i1.3

Abstract

This research is motivated by the declining performance of human resources in technology service companies. Therefore, this study aims to evaluate the performance of information technology in technology service companies and generate recommendations that can be used for company evaluations. We propose the integration of the SWOT-PESTLE method, which excels in analyzing the internal and external aspects of the company, with the Technology Readiness Index (TRI) method to measure the performance of information technology readiness in the organization based on surveys from its employees. As a result, we found that in the aspect of business applications, infrastructure, and information system processes, they have a significant impact on the decline in human resource performance, and therefore, this needs to be addressed to enhance human resource performance.
Educational Data Mining for Student Academic Performance Analysis Afandi, Khoirunnisa'; Arief, M. Habibullah; Fadhil, Martiana Kholila
Jurnal Teknologi Informasi dan Terapan Vol 11 No 2 (2024): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v11i2.434

Abstract

Good student academic performance is the key to success in the quality of education at university. One of the factors that influence academic success by utilising information technology and data analytics. This research incorporates GPA scores and other external factors that can affect students' academic performance such as parents’ job and latest education, address, gender, extracurricular, etc. This research uses Machine Learning; Decision Tree, Random Forest, K-Nearest Neighbour, Support Vector Classifier, Naive Bayes, and Gaussian as methods to analyse and predict the academic performance of students of the Information Systems Study Program, Faculty of Computer Science at the University of Jember. The results showed that the Decision Tree algorithm has the highest accuracy value of 0.9264 followed by Random Forest and K-Nearest Neighbour. Meanwhile, the prediction results show that the Decision Tree, K-nearest neighbour, and Random Forest algorithms can predict the same results
Co-Authors Alexander Wirapraja Asmak Afriliana Atmoko, Rizky Emha Diambang Ramadhany Fadhil, Martiana Kholila Faizatul Laily, Nadya Irvan Faris Arifin Kartiko, Erik Yohan Khoirul Anwar Kusumaningrum , Yunita Dyah M. Habibullah Arief Martiana Kholila Fadhil Maulana Nugroho, Derik Muhammad Rapita Kun Panuluh Nadya Faizatul Laily Narandha Arya Ranggianto ramadhany, emha diambang Stivaniyanti Atmanegara Suryanendra, Adjie