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All Journal IKRA-ITH Informatika : Jurnal Komputer dan Informatika APPA : Jurnal Pengabdian Kepada Masyarakat
Mega Permata Sapani
Universitas Pamulang
Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology

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Pelatihan Pembuatan Video Konten Digital Marketing untuk Meningkatkan Kemampuan Literasi Visual dan Kreativitas Siswa Menggunakan Aplikasi Capcut Berbasis Artificial Intelligence Mega Permata Sapani; Wulan Pahira; Damal Lihan
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2026): APPA : Jurnal Pengabdian kepada Masyarakat 
Publisher : Shofanah Media Berkah

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Abstract

Perkembangan media digital telah mendorong peningkatan penggunaan konten video sebagai sarana komunikasi dan pemasaran. Namun, siswa masih belum optimal dalam memanfaatkan teknologi tersebut secara produktif, khususnya dalam pembuatan konten digital marketing yang kreatif dan bernilai. Program ini bertujuan memberikan pelatihan pembuatan video menggunakan aplikasi CapCut berbasis Artificial Intelligence untuk meningkatkan literasi visual dan kreativitas siswa. Metode pelaksanaan meliputi sosialisasi, pelatihan, praktik, dan evaluasi. Luaran berupa peningkatan kemampuan siswa, produk video, dan modul pelatihan. Kegiatan pengabdian ini diusulkan dalam bentuk sosialisasi literasi digital dan keamanan data pribadi bagi siswa MA Negeri 1 Kota Tangerang Selatan. Target luaran dari kegiatan ini adalah meningkatnya pemahaman dan keterampilan siswa dalam mengimplementasikan literasi digital yang sehat dan aman, terbentuknya kesadaran kolektif mengenai pentingnya memanfaatkan teknologi tersebut secara produktif, khususnya dalam pembuatan konten digital marketing yang kreatif dan bernilai.
Analisis Metode K-Means Clustering pada Data Penjualan Barang NDT PT. Sandya Lestari Mega Permata Sapani; Yossy Veiebrian
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7120

Abstract

NDT (Non-Destructive Testing) is a material testing technique that does not damage the object being tested, with its main products including Liquid Penetrant Testing and Magnetic Particle Testing. The accumulation of unsold stock at PT. Sandya Lestari has become an important consideration in formulating marketing and sales strategies. This study aims to analyze NDT sales data using the K-Means Clustering method to group items based on their sales level. The data used consists of 28 items with the attributes of Initial Stock (SA), Sold Stock (ST), and Final Stock (SAK) over a given period. The clustering process was carried out both manually using Euclidean distance and with the help of RapidMiner Studio software, using 3 clusters. The results show that the cluster centers converged at the third iteration, with the final result being Cluster 0 (C0) containing 25 slow-moving items, Cluster 1 (C1) containing 2 moderately-selling items, and Cluster 2 (C2) containing 1 best-selling item. The cluster validity value measured using Cluster Distance Performance (Average Within Centroid Distance) was 21,073.928. The manual calculation and the software processing produced consistent results, indicating that most items (25 of 28) are classified as slow-moving, contributing to stock accumulation. These findings can serve as a basis for developing more effective marketing strategies and inventory management for the company. Keywords: K-Means, Clustering, Sales Data, NDT Products, PT. Sandya Lestari
Co-Authors Damal Lihan Wulan Pahira Yossy Veiebrian