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Analisis dan Pengujian Perangkat Lunak Sistem Informasi Pembayaran Sekolah dengan Metode Pengukuran Kualitas SQuaRE Rahman Abdillah; Rudi Hermawan; Wawan Hermawansyah; Dwi Puspita Agustin; Ibnu Adkha; Nur Alam
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 2 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i1.4834

Abstract

Software quality testing is a crucial stage in the development of information systems to ensure their reliability and functionality. This study aims to analyze and test the software quality of the School Payment Information System using the Software Product Quality Requirements and Evaluation (SQuaRE) method. This method refers to the ISO/IEC 25000 standard, which measures various aspects of software quality, including functionality, reliability, efficiency, compatibility, usability, security, maintainability, and portability. The aim of this research was conducted through a series of tests by collecting data from system specifications, test designs, and user feedback. The test results indicate that the evaluated information system meets most of the quality indicators based on the SQuaRE standard, with some aspects still requiring improvement, particularly in terms of usability and system efficiency. This evaluation provides deeper insights into the effectiveness of applying the SQuaRE method in software testing and offers recommendations for improving system quality. Thus, the implementation of the SQuaRE method is expected to enhance the reliability and efficiency of the school payment information system, thereby supporting more effective and accurate financial management in schools.
Sosialisasi Penerapan Algoritma Media Sosial Youtube untuk Menaikkan Jumlah Pengunjung Rahman Abdillah; Ibnu Adkha; Dwi Puspita Agustin; Nur Alam
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Vol. 4 No. 1 (2025): Jurnal Hasil Pengabdian Masyarakat Indonesia
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/karunia.v4i1.3075

Abstract

YouTube is one of the leading video-based social media platforms with a complex algorithm for recommending content to users. Understanding this algorithm is crucial for content creators to increase visitor numbers and audience engagement. This socialization activity aims to educate beginner content creators on video optimization strategies to enhance discoverability and recommendation by YouTube’s system. The socialization was conducted online via Zoom, utilizing presentations, interactive discussions, and simulations of YouTube Studio features. The results of this activity indicate an improvement in participants’ understanding of key factors influencing the YouTube algorithm, such as watch duration, user interactions, and metadata optimization. Some participants who implemented the taught strategies experienced up to a 30% increase in video views within a month. However, challenges remain in maintaining content consistency and utilizing YouTube analytics effectively. Therefore, continuous mentoring is necessary to help participants refine more effective strategies. This socialization is expected to enable content creators to maximize the YouTube algorithm to enhance their channel visibility and growth.