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All Journal Journal of Business & Banking Jurnal Online Mahasiswa (JOM) Bidang Ilmu Hukum JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Jurnal SOLMA BASIS (BAHASA DAN SASTRA INGGRIS) Journal Of Management Science (JMAS) Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Dinasti International Journal of Management Science Management Studies and Entrepreneurship Journal (MSEJ) Jurnal Sistem Komputer dan Informatika (JSON) Journal De Facto Journal of Judicial Review Jurnal Pengkajian Dhamma JURIDICA : Jurnal Fakultas Hukum Universitas Gunung Rinjani TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Tarumanagara Medical Journal Cakrawala: Jurnal Pengabdian Masyarakat Global Jurnal Pengabdian Masyarakat Bunda Delima Jurnal Ekonomi dan Bisnis JUDIKAT: Jurnal Pengabdian Kepada Masyarakat Journal of Community Service (Abdisci) Science and Technology: Jurnal Pengabdian Masyarakat Baktimu : Jurnal Pengabdian Kepada Masyarakat Jurnal Sains dan Teknologi Skena Teknologi AbdiMuh: Jurnal Pengabdian Masyarakat
Johan Johan
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Optimasi Strategi Promosi Sekolah SMK melalui Segmentasi Data Siswa Baru dengan Clustering Metode K-Means menggunakan Differential Evolution (DE) Hutabarat, Pebruarianto; Setiawan, Adil; Raj, Bill; Prasetyo, M; Irnanda, M. Agung; Gea, Empiter; Johan; Parapat, Andreas
Jurnal Komputer Teknologi Informasi Sistem Informasi (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.779

Abstract

SMK XYZ faces challenges in developing effective and efficient promotional strategies to attract prospective new students. Previously, promotional approaches have been general and failed to address the specific needs of different prospective student segments. This research aims to optimize school promotional strategies by analyzing patterns in new student characteristics through data segmentation techniques. The proposed method is K-Means Clustering optimized with the Differential Evolution (DE) algorithm. DE optimization addresses K-Means' sensitivity to initial cluster center initialization, aiming for more stable and optimal segmentation. The data used includes demographic attributes, major interests, registration pathways, and prior school origins of new students from the 2023/2024 cohort. Research results show that the DE-K-Means combination produces more compact clusters (lower within-cluster sum of squares values) compared to standard K-Means. Based on the resulting cluster analysis, three distinct promotional strategies are formulated for each prospective student segment: digital-intensive approaches, partnerships with feeder schools, and highlighting specific major advantages. Implementing these strategies is expected to significantly increase the quality and quantity of new student admissions.
Co-Authors Aan Kunaedi Achmad Tavip Junaedi Adam Rizki Firdaus Aditya Daffa Syahputra Afridho, Afridho Ikhsan Agus Hermana Putra, Muhammad Alexander Halim Santos Alfia, Alfia Meilani Putri Aminuddin Ananta, Ananta Ziaurohman Az Zaki Annisya Dwi Chaerani Ari, Ari Rizwan Arif Nurudin Arlends Chris Bastian, Norman Bunga Khoeriah Utami Cahyani, Mutiara Dwi Destra, Edwin Diyatrie Muhammad Bilal Ekawati, Hana Novita Erdianto Effendi Fadrul Fadrul Farell Christian Gunaidi Fazrin Ardiansyah Fitri Dian Perwitasari garno, Garno Gea, Empiter Geoffrey Christian Lo Gunaidi, Farell Christian Gunawan, Devina Gusman, Tania Avianda Hutabarat, Pebruarianto Idris Dwi Affandi Irnanda, M. Agung Isomudin Isomudin Juliana Juliana, Juliana Kartini, Nuri Lidya Sari Peronika Nainggolan Lina Lina Lusiana, Desy M. Syahrul Ibrahim Maheswara, Maheswara Abhista Hamdan Hafiz MAKSUM, HAIRUL Martinus, Agust Isa Miko Prasetyo Mimelientesa Irman Muhamad Jeni Krisyanto Muhammad Farhan Pratama Susilo Muhammad Rizqi Fajri Mukhlis R Muljadi Muljadi Mulyani, Basri Nainggolan, Nora Pitri Nurdianti, Dewi Nurdiyanti, Dewi Nurlia Hermawati, Tania Nurul Chamidah Okalesa Okalesa Onny Setywan Pamuji Hari Santoso Panjaitan, Erwin Parapat, Andreas Prasetyo, M Putra, Muhammad Dzakwan Dwi PutraAdi, Krisna Putri, Elysia Fadhilah Raj, Bill Risma, Risma Auliya Salsabilla Salman Faris Santoso, Alexander Halim Sari, Dwi Revita Sarli Rahman Setiawan, Adil Setiawan, Fiona Valencia Siti Illafiatunnisa Suharti Suharti Surya Oktaviero Teddy Chandra Trisolvena, Muhamad Nana Trisolvena, Muhammad Nana Utami, Arie Susetio Wijaya, Bryan Anna Williya Meta Wishnu Kurniawan yanto, heri Yeni Wulandari Yulina, Indah Karina