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All Journal Jurnal Ilmu Komputer dan Agri-Informatika Jurnal CoreIT INOVTEK Polbeng - Seri Informatika Jurnal Informatika Universitas Pamulang JOISIE (Journal Of Information Systems And Informatics Engineering) Building of Informatics, Technology and Science Zonasi: Jurnal Sistem Informasi JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) Information System Journal (INFOS) Jurnal Computer Science and Information Technology (CoSciTech) Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Informatika: Jurnal Pengembangan IT
Fadhilah Syafria
UIN Suska Riau
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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

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Pengembangan Sistem Informasi Cerdas Career Guidance Berbasis Minat Di Perguruan Tinggi Haerani, Elin; Syafria, Fadhilah; Muhammad Yusuf Fadhillah
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

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Abstract

The development of an intelligent information system career guidance based on interests is designed to address the difficulties faced by high school graduates in determining their major in higher education. Difficulties often arise due to confusion caused by a lack of guidance and information. To help address this issue, an intelligent interest- based major recommendation information system was developed using the breadth-first search (BFS) method, which consists of 8 interest categories based on the Rothwell-Miller Interest Blank theory (RMIB). This intelligent information system can provide direction and guidance (career guidance) to students in determining the right major according to their interests. Career guidance application services are highly needed by students who are currently in their unstable teenage years, struggling to determine their paths. This system generates output in the form of major recommendations along with related information. The system is built with PHP and MySQL and tested using the user acceptance test (UAT).
Co-Authors Abdul Aziz Adzhima, Fauzan Afriyanti, Liza Agus Buono Agustina, Auliyah Aprima, Muhammad Dzaky Bib Paruhum Silalahi Che Hussin, Ab Razak Dede Fadillah Elin Haerani Elvia Budianita Faska, Ridho Mahardika Fauzan Adzim Febi Yanto, Febi Fitri Insani Fitri Wulandari Gusti, Siska Kurnia Guswanti, Widya Harni, Yulia Iis Afrianty Ikhsan, Tomi Israldi, Tino Iwan Iskandar Jasril Jasril Khair, Nada Tsawaabul Ma'rifah, Laila Alfi Masaugi, Fathan Fanrita Mazdavilaya, T Kaisyarendika Muhammad Fahri Muhammad Syafriandi, Muhammad Muhammad Yusuf Fadhillah Mulyono, Makmur Muslimin, Al’hadiid Nazir, Alwis Okfalisa Okfalisa Permata, Rizkiya Indah Pizaini Pizaini, Pizaini Putra, Fiqhri Mulianda Putri, Widya Maulida Rahmad Abdillah Rahmadhani, R. Ramadhan, Aweldri Ramadhani, Siti Siti Sri Rahayu Suwanto Sanjaya Syaputra, Muhammad Dwiky Zabihullah, Fayat Zulastri, Zulastri