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All Journal JUSIFO : Jurnal Sistem Informasi Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Briliant: Jurnal Riset dan Konseptual Seminar Nasional Teknologi Informasi Komunikasi dan Industri INOVTEK Polbeng - Seri Informatika Jurnal Teknologi Sistem Informasi dan Aplikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Teknik Informatika (JUTIF) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Pendidikan dan Teknologi Indonesia CONSEN: Indonesian Journal of Community Services and Engagement
Muttakin, Fitriani
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Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Physics Social Sciences Other

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Journal : Journal of Computer System and Informatics (JoSYC)

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Sistem Pendukung Keputusan Pemilihan Jurusan pada SMA menggunakan Metode Profile Matching Anjani, Yulia Merry; Muttakin, Fitriani; Zarnelly, Zarnelly; Permana, Inggih
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5166

Abstract

Every year, in the process of selecting a new major at ABC High School, a major selection is carried out. This process requires students to identify their interests, talents, and abilities in order to make informed choices. However, this process often takes quite a long time because student data must be processed one by one using various different criteria. Apart from that, the selection of majors is currently based on the highest and lowest scores, with the highest score for the Science major and the lowest score for the Social Sciences major which is considered less efficient. To overcome this problem, the development of a Decision Support System (DSS) is proposed. able to provide recommendations for selecting majors more objectively. This research aims to develop SPK using the profile matching method, which will provide major recommendations based on certain criteria at SMA ABC. The criteria used include PPDB scores, science subject scores, social studies subject scores, mathematics scores, Indonesian language scores, psychological test results, student interests and parental preferences. Based on sample trials, this system recommends 6 students to enter the science department and 4 students to enter the social studies department. This system is expected to help students obtain education that suits their abilities and interests, as well as increase the efficiency of the majors process at SMA ABC.
Co-Authors Ahsyar, Tengku Khairil Andrika, Nadila Angraini Angraini Anjani, Yulia Merry Ardiansah, Yoga Ariansah, Rizky Arif Marsal Auliadi, Maulana Dermawan, Tri Efendi, Harisman Eki Saputra Febi Nur Salisah, Febi Nur Fitri Amillia Hamzah, Muhammad Luthfi Inggih Permana Intan, Sofia Fulvi Jazman, Muhammad M Afdal M. Afdal Megawati - Mona Fronita, Mona Mubarak MR, Najmuddin Muhammad Fadli Nabillah, Putri Nur Sarifudin, Muhammad Pratama, Arya Yendri Pristiawati, Andani Putri Putri, Amanda Iksanul Rachmawati, Dyana Rahmawati, Rahmawati Rahmawita Munzir, Medyantiwi Sabillah, Dian Ayu Safrudin, Muhammad Salsabila, Salsabila Sarbaini Sarbaini Siregar, Muslim Putra Perdana Siti Monalisa Syahri, Alfi Tasia, Ena Tshamaroh, Muthia Zarnelly Zarnelly