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Penerapan Metode Clustering dengan Algoritma K-Means untuk Pengelompokkan Data Sekolah Menengah di Kabupaten Muna Barat Sigrid Tamriesfatno; Riska Kherani; Sarwono Sarwono
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 2 (2025): Mei: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i2.4180

Abstract

Improving the quality of education requires a comprehensive understanding of the conditions and characteristics of each educational institution. West Muna Regency has various secondary schools with diverse profiles and challenges. Until now, school grouping has often been done manually, which does not always accurately reflect the overall characteristics of the data. This study aims to cluster secondary schools in West Muna Regency using the K-Means algorithm as a clustering method to identify hidden patterns in school data, such as the number of students, teachers, staff, facilities, and location. The research method involves several stages, including data collection, method analysis, software implementation, and cluster testing. The clustering results produced three school clusters with different characteristics. Cluster 1 consists of schools with the most complete resources, Cluster 2 includes the largest number of schools with varying resources, and Cluster 3 represents schools with moderate conditions. These findings are expected to serve as a basis for formulating more targeted educational policies, ensuring equitable distribution of resources, and improving the quality of education in West Muna Regency.
Perancangan Sistem Keamanan Pintu Toko Berbasis Internet Of Things (Studi Kasus : Toko Chantika Shoes) Alman Arapa; Sigrid Tamriesfatno; Sarliadin Sarliadin; Sarwono Sarwono; Ahmad Musawir
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 5 No. 1 (2026): Januari: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v5i1.6589

Abstract

Door security is a vital aspect in ensuring safety and protecting assets, particularly in commercial buildings such as retail stores that are vulnerable to unauthorized access outside operating hours. Along with the rapid advancement of digital technology, security systems are required to go beyond conventional mechanisms by providing remote monitoring and control capabilities. This study aims to design an Internet of Things (IoT)–based door security system as a solution to enhance security at Chantika Shoes Store. The research adopts a system design method that includes requirements analysis, hardware design, software design, and system workflow development. The proposed system utilizes IoT devices and sensors to detect door activity and transmit real-time information to users via an internet network. Through the integration of hardware and software components, the system enables continuous monitoring of door conditions, instant notification delivery in the event of unauthorized access, and remote control of the door locking mechanism using a mobile application. This approach allows store owners to respond quickly to potential security threats and improves efficiency compared to conventional security systems. The designed system is expected to serve as a reference for developing more effective and efficient IoT-based door security solutions that meet the security requirements of retail businesses in the modern technological era