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All Journal Impression : Jurnal Teknologi dan Informasi Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat
Sholid, Rolly Gios
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Analisis dan Perancangan Clustering Siswa Baru Menggunakan Metode K-Means pada SMK Negeri 1 Sarolangun Alhaq, Hawari; Yanto, Widja; Ichsandi, Ichsandi; Sari, Rica Syofiana; Sholid, Rolly Gios; Septiana, Alegriya Windi
Impression : Jurnal Teknologi dan Informasi Vol. 3 No. 2 (2024): July 2024
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v3i2.1035

Abstract

Teknologi Informasi dan Komunukasi digunakan dalam berbagai jenis aktifitas didalam kehidupan saat ini, Teknologi informasi sangat berperan dalam organisasi perusahaan salah satunya Business intelligence. Salah satu penghasil knowledge yaitu data mining. Data mining merupakan suatu teknik pengumpulan data untuk membentuk pengetahuan baru dari data yang ada. Banyak teknik pengelompokan data yang digunakan salah satunya algoritma yang sering digunakan adalah K-Means. Algoritma K-Means adalah algoritma clustering yang paling sederhana dibanding dengan algoritma yang lain. Algoritma ini termasuk salah satu algoritma paling penting dalam data mining. K-Means membagi data kemudian mengelompokkannya kedalam beberapa cluster yang memiliki kemiripan dan memisahkan setiap cluster berdasarkan perbedaan antar masing-masing cluster. Algoritma ini telah dikemukakan oleh beberapa peneliti dari disiplin ilmu yang berbeda. Tujuan penelitian ini dapat menganalisa clustering siswa baru menggunakan metode K-Means pada SMK N 1 Sarolangun serta merancang prototype clusteringnya. Dimana manfaat yang ditemukan nantinya yaitu untuk meningkat akurasi dalam pengelompokan siswa baru. Information and Communication Technology is used in various types of activities in today’s life. Information technology plays a crucial role in organizational operations, one of which is Business Intelligence. One of the key sources of knowledge is data mining. Data mining is a technique for collecting data in order to generate new knowledge from existing data. There are many data clustering techniques used, and one commonly applied algorithm is K-Means. The K-Means algorithm is one of the simplest clustering algorithms compared to others. It is also considered one of the most important algorithms in data mining. K-Means partitions data and groups it into several clusters based on similarities and distinguishes each cluster based on their differences. This algorithm has been proposed by researchers from various academic disciplines. The objective of this study is to analyze the clustering of new students using the K-Means method at SMK N 1 Sarolangun and to design a clustering prototype. The benefit of this study is to improve the accuracy of new student grouping.  
Optimalisasi Google Service dalam Digitalisasi Aktivitas Organisasi: Implementasi pada KIPAN Akbar, Muhammad Tulus; Kurnia Amri, Maryama; Yusrizal; Timor, Adri Flouren; Sholid, Rolly Gios; Alhaq, Hawari
Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat Vol 3 No 1 (2026): Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat
Publisher : PT. Meja Ilmiah Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70308/voxpopuli.v3i1.362

Abstract

Digital transformation in organizations supports the acceleration of organizational change in managing their activities. One of the platforms that facilitates this process is Google Services, which enables integrated collaboration, communication, and data management. This community service program aims to optimize the use of Google Services to support the digitalization of organizational activities at KIPAN (Kader Inti Pemuda Anti Narkoba) of Jambi Province. The method employed was a participatory-perceptual approach through training, socialization, and hands-on practice involving 11 core administrators of KIPAN. Data were collected through field observations and analyzed using descriptive qualitative techniques. The results showed that 91% of participants had a very good understanding of the material presented, 73% were able to align the material with practical application, and 36% were capable of developing tasks and innovations using Google Services. These findings indicate that the program was effective in improving participants’ digital capacity, although further mentoring is still needed to strengthen innovation aspects. Overall, this program contributes to strengthening organizational capacity through the systematic use of digital technology.
Co-Authors Akbar, Muhammad Tulus Alhaq, Hawari Ichsandi, Ichsandi Kurnia Amri, Maryama Sari, Rica Syofiana Septiana, Alegriya Windi Timor, Adri Flouren Yanto, Widja Yusrizal