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Sistem Inventory Barang Gudang Berbasis Web Studi Kasus Yayasan Indonesia Care Adzani, Adinda Mutiara; Mulya, Citra Pricylia Ananda; Ahluna, Faza; Febrianti, Syafira; Akbar, Yuma; Yel, Mesra Betty
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i1.284

Abstract

Along with the increasingly rapid development of technology, this can be characterized by increasingly sophisticated technology. Using computers as a tool in carrying out work in information technology is becoming increasingly common and developing in all fields. This research discusses implementing an equipment inventory information system at the Indonesia Care Foundation to increase the efficiency of managing equipment availability. This study includes requirements analysis, system design, and implementation of information technology-based solutions to monitor and manage equipment more effectively. Data collection methods involve interviews, observation, and documentation analysis. The research results show that implementing an inventory information system provides significant benefits, including increased recording accuracy, more efficient stock management, and better monitoring of equipment use and maintenance. This implementation's success positively contributes to operational efficiency and improves equipment management performance at the Foundation Indonesia Care.
Analisis Sentimen Terhadap Sistem Informasi Akademik Mahasiswa pada Aplikasi Edlink dengan Metode K-Nearest Neighbor Mulya, Citra Pricylia Ananda; Arinal, Veri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 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.v9i1.3017

Abstract

The Sevima Edlink application is an academic information system that is widely used by educational institutions in Indonesia to manage student academic data and information. Although this application has various useful features, its successful implementation also depends greatly on user satisfaction and acceptance. Therefore, it is important to analyze user sentiment towards these applications to identify existing strengths and weaknesses. This research aims to analyze user sentiment towards the Sevima Edlink application using the K-Nearest Neighbor (K-NN) method. The K-NN method was chosen because of its simplicity and effective ability to classify sentiment data. The data used in this research are reviews from application users collected from various sources. The results of this research used the K-NN method, namely an accuracy value of 94.47%. So it can be said that the K-KNN algorithm can classify data well and correctly.