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All Journal Jurnal Ilmu Informasi Perpustakaan dan Kearsipan Jurnal Sain Peternakan Indonesia Jurnal Al-Tadzkiyyah Distribusi Jurnal Peternakan (Jurnal of Animal Science) JOISIE (Journal Of Information Systems And Informatics Engineering) Bada'a: Jurnal Ilmiah Pendidikan Dasar Abdi Masyarakat Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Jurnal Kesehatan Tambusai Journal of Community Development Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) JURNAL ILMU DAN TEKNOLOGI KESEHATAN TERPADU Jurnal Tarbiyah dan Ilmu Keguruan Borneo Chemistry Education Review Jurnal Cakrawala Ilmiah PEMA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat Semanggi: Jurnal Pengabdian kepada Masyarakat Journal of Intelligent Software Systems Journal of Sharia Economy and Islamic Tourism
Nur’aini, Nur’aini
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Journal : Journal of Intelligent Software Systems

 1 
BUSINESS INTELLIGENCE FOR DETERMINING PROMOTIONAL MEDIA Alvianingrum, Ante Wahyu; Sari, Dini Fakta; Syadziliy, Abil Hasan Ali Asy; Supriatin, Supriatin; Nur’aini, Nur’aini
Journal of Intelligent Software Systems Vol 3, No 2 (2024): December 2024
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v3i2.1505

Abstract

Abstract—In 2021-2022, SMK Dirgantara Putra Bangsa experienced a decrease in the number of prospective students who registered. This condition encourages schools to innovate and be creative in choosing effective promotional media in disseminating information on New Student Admissions (PPDB) to the public widely and routinely, with the aim of attracting more new students. This promotional effort involves the use of various types of promotional media. Business intelligence plays a role in processing organizational data into useful information to improve performance, by analyzing historical data which is then used to support decision making and planning. The K-Means algorithm is one of the clustering methods that is often used because of its ease of implementation and its ability to minimize the sum of squared error (SSE) value between data and the specified centroid. The collaboration between Business Intelligence and K-Means clustering is expected to help SMK Dirgantara Putra Bangsa in choosing the right promotional media and creating new innovations in disseminating PPDB information to the public.Keywords— PPDB, Business intelligence, K-Means clustering, Media Promosi
Co-Authors Alvianingrum, Ante Wahyu Amiruddin Amiruddin ARDIANSYAH ARDIANSYAH Ariani, Zaenafi Arsinah, Arsinah Atthoriq, Fawwaz Azzahra, Dita Baiq Reinelda Tri Yunarni Dini Fakta Sari, Dini Fakta Emigawaty, Emigawaty Fazira, Haykal Amar Fitri Nasution fitria ningsih Hakim, Muhammad Hamzah Hamzah Helisa Noviarty K.Tobing, Diana Sulianti Kade Wahyu Saputri Khadijah Khadijah Lubis, Misdahwati Maemunah, Mei Mappeaty Nyorong Marhamah Marhamah Marhamah, S. Marniati Kadir Meisyaqia, Dira Muhammad Danial Muhammad Subhan Hamka Mukhlishin, Mukhlishin Mulyatun, Sri Muthmainnah Muthmainnah Nadya, Khoirun Nasution, Laila Hadri NINIK TRI HARTANTI Nining Suningsih Nur Hikmah, Alya Oktavianda, Elga PARISMA, WAN INTAN Permadi Karpriana, Angga Purba, Jerni Sarnia Rahmadani, Witri Rindi Metalisa, Rindi Sangsit, Muliadi Saptyawati, Laksmindra Saputra, Risky Pratama Eksa Sihotang, Fovy Desi Tamara Siregar, Dian Maya Sari Sitompul, Indah Nurita Solihin Solihin Sugiarti Sugiarti Supriatin Supriatin, Supriatin Suwandi Suwandi Syadziliy, Abil Hasan Ali Asy Zahroni, Radifan Zaidan Zilawati, Zilawati