Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal PROCEEDING IC-ITECHS 2014 DIKEMAS (Jurnal Pengabdian Kepada Masyarakat)
Dewi, Nandita
Unknown Affiliation
Computer Science & IT Education Social Sciences

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

Found 2 Documents
Search

 1 
Peningkatan Manajemen Penjualan di UMKM Fruit Fiesta Berbasis OnlineShop Susena, Edy; Sukendar, Markus; Setiyanto, Riyan; Pratama, Bardi; Dewi, Nandita
DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 7 No 2 (2023)
Publisher : Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32486/dikemas.v7i2.622

Abstract

Abstrak Masyarakat butuh bantuan akademisi untuk membantu masa pemulihan ekonomi dari dampak covid-19 yang melanda pada tiga tahun terakhir ini. Masyarakat butuh bimbingan teknik maupun non teknik dalam mengembangkan usaha yang sedang dirintis. Politeknik Indonusa Surakarta telah membentuk tim Pemberdayaan Kemitraan Masyarakat (PKM) yang sudah berpengalaman membantu masyarakat dalam mengembangkan usahanya. Tim telah melakukan observasi ke berbagai daerah dan telah memutuskan memilih mitra sasaran industri rumah tangga kripik buah “KreaChips” yang beralamatkan Jl. Ngargoyoso-Kemuning, Sidomulyo RT.3/RW. 3, Ngargoyoso, Karanganyar, Jawa Tengah. Industri ini dikembangkan oleh Yayuk Pidiyanto mulai tahun 2020. Awal mulanya Bapak Yayuk Pidiyanto kena dampak pengurangan karyawan di Ibukota. Alhasil beliau pulang ke desa. Bapak Yayuk Pidiyanto membuka usaha berjualan buah keliling. Banyak dagangan yang tidak laku dan akhirnya busuk. Singkat cerita Bapak Yayuk Pidiyanto punya kenalan di Malang untuk belajar membuat kripik buah. Bapak yayuk Pidiyanto juga diberi alat vacuum frying seharga 30 juta untuk digunakan produksi. Dengan modal alat tersebut Bapak Yayuk Pidiyanto sangat bersemangat untuk berwirausaha. Awal produksi, Bapak Yayuk Pidiyanto memproduksi kripik Nangka. Sekali produksi membutuhkan 10 kg bahan baku Nangka segar, diproses kurang lebih 2,5 jam menghasilkan kripik Nangka kurang lebih 3 kg. Untuk produksinya dibantu oleh 4 tenaga yaitu Sunarti, Simiyati, Waluyo, Agung Listiyanto. Berdasarkan pengumpulan data maka di dapat permasalahan yang dihadapi adalah: kekurangan modal, belum ada mitra/reseller sebagai agen penjualan, belum dilakukan penjualan secara online, kekurangan modal, desain kemasan dan label, kesulitan mencari bahan baku, belum memiliki izin P-IRT. Solusi yang ditangani tim dan mitra adalah: mencari reseller, mitra mahasiswa yang pernah mengikuti Program Wirausaha Merdeka (WMK) untuk mengembangkan wirausahanya, memperbaiki desain kemasan dan label produk, melakukan penjualan secara OnlineShop di Tokopedia. Kata kunci: Fruit, Fiesta, nangka, pisang
Leveraging Data Science and AI-Based Analytics to Enhance Immersive Learning Experiences in Education Dewi, Nandita; Maulindar, Joni
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1655

Abstract

Technology-based learning faces challenges in effectively increasing student engagement, motivation, and understanding in the context of continuing education. This study aims to explore the role of data science and AI-based analytics in supporting immersive learning experiences to improve learning outcomes. The research method used is descriptive and correlational statistical analysis of data from 50 students with various metrics, such as engagement scores, motivation, understanding, retention, AI feedback accuracy, VR content quality, learning duration, device compatibility, and network stability. The results showed that the average student engagement score was 77.45, motivation 78.57, and understanding 81.16, with each showing a significant positive relationship to learning retention (average 61.11). AI feedback accuracy had an average score of 84.66, indicating the significant contribution of AI technology in improving student understanding. VR content quality had an average score of 89.76, indicating that well-designed content can improve students' learning experiences. The average learning duration was 84.26 minutes, with a moderate correlation to understanding (r = 0.72). However, technical challenges were found, such as a weak negative correlation between learning duration and network stability, indicating that connectivity issues may affect the learning process. The regression results showed that the model was only able to explain 17.86% of the variance in the dependent variable, so additional variables are needed for a more comprehensive understanding. This study concludes that the integration of AI and VR in education has great potential to improve learning experiences and outcomes, although there are still technical obstacles that need to be overcome to maximize its impact.
Co-Authors Maulindar, Joni Pratama, Bardi Setiyanto, Riyan Sukendar, Markus Susena, Edy