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Implementasi Data Mining Untuk Mengelompokkan Data Penjualan Berdasarkan Pembelian Pada UD. Martua Dengan Menggunakan Algoritma K-Means Siti Sahara Lubis; Billy Hendrik
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1531

Abstract

Currently we cannot escape the influence of information technology. Because like it or not, the development of science and the application of technology is experiencing an increasingly rapid increase, especially in every work environment such as business practitioners.Computer/information technology is the technology that is most widely used in various agencies, both government and private. The rapid development of technology over time means that human work can generally be completed quickly. Technology is a tool that is often used in human activities. The role of technology today makes information processing easier because processing is necessary so that the resulting information can be useful for its users. Competition in the business world requires developers to find a pattern that can increase sales and marketing of goods, one of which is by utilizing transaction data. The availability of abundant data, the need for information to support decision making to create business solutions, and infrastructure support in the field of information technology are the reasons for the birth of data mining technology. Problems that occur at UD. Martua is lacking in reviewing the products being sold, what products consumers need and less effective data storage. With data mining, it is intended to provide real solutions to UD. Martua can find out which items are selling well and which items are not selling well, then can compare sales from year to year to become an effective medium for developing sales at UD.Martua. In grouping sales data, the fields used are item name, quantity purchased, quantity sold for 1 week, then the data will be processed with the k-means clustering algorithm. The final result with 20 grouping data samples was the final result with 2 clusters, namely, cluster 1 (C1) with 10 best-selling items, cluster 2 (C2) with 10 non-selling items. With data mining using the K-Means algorithm, losses for UD.Martua..speeding up decision making to restock goods that are selling well so that consumers who want to buy don't have to wait long. Providing information from sales data to find out what causes profits or losses at UD.Martua. Providing convenience for UD.Martua in determining which products are selling and which are not selling so that there is no accumulation of goods that are not selling and resulting in losses for UD.Martua.
Implementasi Hybrid Programming Dengan Framework Ionic Dan Capacitor Pada Sistem I-Sekolahku Ahmad Asyahari; Fitra Yuda; Irzon Meiditra; Siti Sahara Lubis
RJOCS (Riau Journal of Computer Science) Vol. 11 No. 1 (2025): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v11i1.3043

Abstract

Perkembangan teknologi informasi dan komunikasi yang sangat pesat telah mendorong kebutuhan akan sistem digital yang efisien, fleksibel, dan mudah diakses, terutama dalam dunia pendidikan. Sistem I-Sekolahku dirancang sebagai solusi untuk digitalisasi manajemen sekolah yang mencakup pengelolaan data siswa, jadwal, pengumuman, dan komunikasi antar pihak sekolah, siswa, dan orang tua. Penelitian ini bertujuan untuk mengimplementasikan Hybrid Programming menggunakan Framework Ionic dan Capacitor guna menciptakan aplikasi lintas platform yang dapat berjalan di Android, iOS, maupun web. Penelitian ini mengimplementasikan Hybrid Programming dengan Ionic dan Capacitor pada sistem ISekolahku untuk mempermudah akses informasi pendidikan. Ionic digunakan untuk membangun aplikasi mobile berbasis web yang dapat berjalan di platform Android dan iOS, sementara Capacitor memungkinkan interaksi dengan fitur perangkat keras. Tujuan dari implementasi ini adalah untuk meningkatkan efisiensi pengelolaan data pendidikan, seperti jadwal, absensi, dan nilai, serta memfasilitasi komunikasi antara siswa, guru, dan orang tua. Diharapkan, sistem ini dapat memberikan kontribusi dalam meningkatkan kualitas dan aksesibilitas pendidikan.
Pemanfaatan Internet Of Things (IoT) untuk Mengoptimalkan Sistem Irigasi dalam Menunjang Ketahanan Pangan dan Produksi Pertanian Berkelanjutan di SMKN 2 Tanah Putih Syikhristani Syikhristani; Riris Agustin; Siti Sahara Lubis; Meli Roslianti; Yuyunisari Yuyunisari; Chusrin Irwansyah; Sari Susanti
SAFARI :Jurnal Pengabdian Masyarakat Indonesia Vol. 5 No. 3 (2025): Juli : SAFARI :Jurnal Pengabdian Masyarakat Indonesia
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/safari.v5i3.2704

Abstract

The utilization of Internet of Things (IoT) technology in the agricultural sector offers an innovative solution to overcome the inefficiencies of traditional irrigation systems, which are still commonly applied in vocational education environments such as SMKN 2 Tanah Putih. This study aims to design and implement an automatic irrigation system based on IoT using soil moisture sensors, an Arduino microcontroller, and an ESP8266 communication module. The system enables real-time monitoring and control of plant watering via an internet-based application. The implementation results demonstrate increased efficiency in water usage and more optimal plant maintenance compared to conventional methods. By integrating technology into learning practices and school-based agricultural activities, this project not only supports local food security efforts but also provides a concrete contribution to the adoption of sustainable agriculture in educational institutions.