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Analisis Kepuasan Pengguna Website Repository Universitas Amikom Purwokerto menggunakan Metode System Usability Scale (SUS) Nur Adiya, Az Zahra Dwi; Anindya Fidela; Dea Lili Anggraeni; Ito Setiawan
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 6 (2024): November: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i6.474

Abstract

This study aims to analyze user satisfaction with the Universitas Amikom Purwokerto repository website using the System Usability Scale (SUS) method. In the digital era, online repositories play a crucial role as a platform for storing, managing, and distributing academic work, supporting academic activities and knowledge exchange. However, observations indicate that the repository website faces challenges in accessibility, including unintuitive navigation, difficult-to-understand menus, and limited language options, as it is only available in English. Through a SUS survey involving 100 respondents, an average SUS score of 46 was obtained, falling into the "Not Acceptable" category with a grade of "F" and an adjective rating of "Poor." This result indicates that the website’s usability is insufficient and requires improvement. Recommendations include enhancing navigation, ensuring interface consistency, providing a dual-language option (Indonesian and English), improving website speed, and conducting regular user satisfaction evaluations. These improvements aim to optimize the Universitas Amikom Purwokerto repository website, thereby providing a better user experience and effectively supporting academic activities and the dissemination of academic work.  
Penerapan Algoritma FP-Growth untuk Strategi Penjualan Toko Kelontong Cipta Lestari Tarwoto; Ahnaf Vanning AL-Haq; Anindya Fidela; Wini Audiana; Zulfa Ummu Hani
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3278

Abstract

This research uses the FP-Growth algorithm to identify sales patterns at the Cipta Lestari convenience store to support inventory management efficiency and marketing strategies. The data used in this research consists of daily sales transaction data that includes product types and the quantities sold. This analysis employs a support parameter of 0.95 and a confidence level of 0.8, with a maximum limit of 100,000 items. The results indicate that products such as Kchoco, sambal sauce, and tea 3350ml are often purchased together with Torabika coffee, soy sauce, and instant fried noodles. This combination pattern enables the store to create more effective product promotions and optimize inventory. The goal of this research is to develop business strategies that are more responsive to customer needs, enhance satisfaction with the right product offerings, and strengthen competitive marketing. This research is expected to contribute to the development of traditional marketing strategies and serve as a reference for analyzing consumer purchasing patterns in future studies.