Article Per Year (5 Year)
p-Index From 2020 - 2025
1.116
P-Index
This Author published in this journals
All Journal Semantik Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics JAIS (Journal of Applied Intelligent System) ANDHARUPA E-Dimas: Jurnal Pengabdian kepada Masyarakat Wikrama Parahita : Jurnal Pengabdian Masyarakat JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknologi Sistem Informasi dan Aplikasi Abdimasku : Jurnal Pengabdian Masyarakat Journal of Applied Computer Science and Technology (JACOST)
Khafiizh Hastuti
Fakultas Ilmu Komputer, Universitas Dian Nuswantoro
Arts Humanities Computer Science & IT Economics, Econometrics & Finance Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JAIS (Journal of Applied Intelligent System)

 1 
Recommendation System for Major University Determination Based on Student’s Profile and Interest Desi Purwanti Kusumaningrum; Noor Ageng Setiyanto; Erwin Yudi Hidayat; Khafiizh Hastuti
Journal of Applied Intelligent System Vol 2, No 1 (2017): April 2017
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v2i1.1389

Abstract

Failure study on university students is one of the serious problems we face today. Data from the Centre for Education Statistics Research and Development of the Ministry of National Education Republic of Indonesia showed that the percentage of students graduate on time from 2001 to 2011 only reached 51.97%. In addition, cases of students dropping out at the beginning of the semester is also quite significant. One of the causes of failure of this study was the selection of major’s errors when applying to university. This study offers a selection subject recommendation system that builds on the profile data and student’s interest using the technique of Association Rule. Results of the rules of the relationship will then be matched with prospective students using questionnaires dynamic, so expect new students get recommendations more valid subject fit the profile and interest respectively. The system built on this research utilizes student data stored on the academic system of Dian Nuswantoro University. This model however can be adapted by all the universities that has a system of academic information. At the end of this system is expected to be used to minimize failures caused students study majors election mistakes
Co-Authors Abu Salam Adam Zufar Majid Suprayogi Afinzaki Amiral Ahmad Zainul Fanani Ajib Susanto Arry Maulana Syarif Aton Rustandi Mulyana Azhari Azhari Desi Purwanti Kusumaningrum Erwin Yudi Hidayat Erwin Yudi Hidayat Erwin Yudi Hidayat Fahri Firdausillah Hanny Haryanto Ika Novita Dewi Kadiasti, Ristia Kurniawan, Wahyu Muhammad L. Budi Handoko Labib Ahnaf Dhiyaul Khoir Luthfi Kamal Ananda Muhammad Adrian Surya Saputra Nathania, Nita Virena Nathiania, Nita Virena Naufal, Muhammad Rakha' Noor Ageng Setiyanto, Noor Ageng Prayoga, Adita Surya Pulung Nurtantio Andono Reynald Karisma Wibowo Siswoko, Tandicha Marchelputra Suprayogi Suprayogi Syafira Rosa Amalia Verdian Putra Wicaksana Wahyu Muhammad Kurniawan Wiratno, Andreas Ragil Wiratno, Andreas Ragil