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All Journal KARYA: Jurnal Pengabdian Kepada Masyarakat Engineering: Journal of Mechatronics and Education
Nuraini, Roswanda
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Public Health

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PEMANFAATAN FITUR LIVE STREAMING UNTUK MENINGKATKAN PENJUALAN PRODUK GIO SAVERINO DI SHOPEE LIVE Nuraini, Roswanda; Putra, Aan Fadillah; Prianita, Naza Sefti; Edora, Edora
KARYA: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2024): KARYA: Jurnal Pengabdian Kepada Masyarakat
Publisher : FKIP Universitas Samawa

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Abstract

Live streaming telah menjadi fitur penting dalam e-commerce, terutama dalam meningkatkan pelanggan dan mendorong penjualan. Penelitian ini bertujuan untuk menganalisis pemanfaatan fitur live streaming dalam meningkatkan penjualan produk Gio Saverino di platform e-commerce, dengan studi kasus pada Shopee Live. Pokok masalah yang diangkat adalah bagaimana fitur live streaming dapat mempengaruhi perilaku konsumen dan meningkatkan volume penjualan di Shopee. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi kasus, melibatkan observasi langsung, wawancara mendalam dengan penjual dan konsumen, serta analisis data sekunder dari laporan penjualan dan statistik pengguanaan fitur live streaming. Data yang dikumpulkan menunjukan bahwa live streaming di Shopee Live secara signifikan meningkatkan interaksi antara penjual dan konsumen, memperkuat kepercayaan pembeli, dan memfasilitasi demonstrasi produk secara real-time yang lebih efektif. Kesimpulan dari penelitian ini adalah bahwa fitur live streaming merupakan alat yang efektif dalam strategi pemasaran di e-commerce, karena mampu meningkatkan keterlibatan pelanggan dan mendorong peningkatan penjualan produk secara substansial. Penelitian ini memberikan wawasan berharga bagi penjual online dan pengembang platform E-commerce dalam mengoptimalkan fitur live streaming untuk mencapai tujuan penjualan mereka.
Comparison of K-Means and K-Medoids Methods in Clustering Stress Levels of 6th Semester Students Nuraini, Roswanda; Sinta Hardianti; Elkin Rivalni
Engineering: Journal of Mechatronics and Education Vol. 2 No. 1 (2025): Engineering: Journal of Mechatronics and Education
Publisher : Yayasan Insan Mulia Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59923/mechatronics.v2i1.517

Abstract

Final-year students often experience high psychological pressure due to academic demands such as thesis completion, final exams, and career uncertainty. This stress can negatively affect their academic performance and overall mental health. This study aims to compare the performance of two clustering methods, K-Means and K-Medoids, in grouping stress levels among sixth-semester students. The comparison is based on three key parameters: accuracy, consistency, and computational speed. Data were collected using psychological questionnaires reflecting students’ stress symptoms and analyzed using both clustering techniques. Preliminary results indicate that K-Medoids outperforms K-Means in terms of accuracy and result stability, particularly when dealing with datasets containing outliers, while K-Means is more efficient in processing large-scale data. These findings are expected to serve as a reference for educational institutions in developing early stress detection systems based on data mining to enhance more targeted psychological support services.
Co-Authors Edora, Edora Elkin Rivalni Prianita, Naza Sefti Putra, Aan Fadillah Sinta Hardianti