Masyita Risna
Institut Teknologi dan Bisnis Nobel Indonesia

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

PELATIHAN PEMANFAATAN ARTIFICIAL INTELLIGENCE (AI) DALAM MENINGKATKAN KETERAMPILAN MENGAJAR GURU SMA NEGERI 1 SIDRAP Raden Wirawan; Agunawan; Muhammad Yassir; Muhammad Rijal; Nurani; Eka Wijaya Paula; Aulyah Zakilah Ifani; Nurul Istiqamah; Muthi Syahidah Arifuddin; Fyan Wijaya Komputra Ahmadi; Masyita Risna
BHAKTI: JURNAL PENGABDIAN DAN PEMBERDAYAAN MASYARAKAT Vol. 4 No. 02 (2025): Desember
Publisher : Universitas Islam Tribakti (UIT) Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/nvhm5525

Abstract

This service activity aims to provide information about the development of AI in the world of education and the use of AI information technology to support learning activities. The target of the activity is teachers at SMA Negeri 1 Sidrap. The activity was carried out for 1 day with stages of preparation, problem solving, implementation and monitoring and evaluation. The focus of implementing this activity is the introduction of AI tools that are easy to use and focused on how to utilize information technology to improve teacher performance.  The results of the training on the Use of Artificial Intelligence (AI) in education at SMA Negeri 1 Sidrap went smoothly and will help create a learning environment that is more effective, efficient and responsive to the needs of students and teachers.
Analisis Efektivitas Sistem Berbasis Data Penjualan dan Penyediaan Barang Masyita Risna; Nurkhalik Wahdanial Asbara; Nurul Istiqamah
Management of Information System Journal Vol 4 No 2: Maret 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i2.2565

Abstract

This study aims to analyze the effectiveness of a data-based system in the areas of sales and inventory provision at Master Stokist Takalar of PT Mega Gloryoung International (MGI). The study employed a mixed-method approach by integrating qualitative and quantitative data. Primary data were obtained through interviews, observations, and questionnaires administered to 20 respondents, while secondary data were collected from sales reports, transaction records, and inventory data. Quantitative analysis was conducted using descriptive statistics through effectiveness percentages and efficiency comparisons, whereas qualitative analysis was carried out through data reduction, data display, and conclusion drawing. The findings indicate that the data-based system is effective in the sales aspect, as reflected by an average effectiveness rate of 89%, reduced time required for transaction recording, data retrieval, and report preparation, as well as a 12% upward trend in sales. However, in the inventory provision aspect, the system’s effectiveness has not yet been optimal because stock management is still conducted manually, stock monitoring is not yet real-time, and demand forecasting remains reactive. These conditions indicate that the effectiveness of the system at Master Stokist Takalar is still partial, being strong in sales transactions but weak in inventory control. Therefore, stronger integration between the sales system and the inventory system is necessary to enhance distribution stability and reduce the risk of stockouts